{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Finetune Bert Sentiment140 with BertLibrary.ipynb",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/kpi6research/Bert-as-a-Library/blob/master/examples/Finetune_Bert_Sentiment140_with_BertLibrary.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MbApRh4QGd6F",
"colab_type": "text"
},
"source": [
"# Finetune Bert Sentiment140 with BertLibrary\n",
"\n",
"This colab notebook will show how to use Bert-as-a-Library to finetune a Bert base on Sentiment140 dataset which you can find it here from [kaggle](https://colab.research.google.com/drive/1yTiTQ6g-lM7RISeK774DuM8jesuiOVS_#scrollTo=MbApRh4QGd6F&line=3&uniqifier=1). We do the same data split as this [kernel](https://www.kaggle.com/paoloripamonti/twitter-sentiment-analysis) in order to show to you the boost in performance that Bert can give you without doing complex things."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UV4mvrexH-pg",
"colab_type": "text"
},
"source": [
"Download the Bert Base Uncased model and the sentiment140 dataset. You can download the first directly from the web, but you need to manually download and upload the dataset from kaggle"
]
},
{
"cell_type": "code",
"metadata": {
"id": "nimJMARFIM-k",
"colab_type": "code",
"outputId": "05fe3fb9-d6c5-4cbf-b51a-8ea9fa0c9e99",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 323
}
},
"source": [
"!wget https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip\n",
"!unzip uncased_L-12_H-768_A-12.zip"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"--2019-10-11 09:00:25-- https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip\n",
"Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.133.128, 2a00:1450:400c:c0c::80\n",
"Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.133.128|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 407727028 (389M) [application/zip]\n",
"Saving to: ‘uncased_L-12_H-768_A-12.zip’\n",
"\n",
"uncased_L-12_H-768_ 100%[===================>] 388.84M 95.2MB/s in 4.3s \n",
"\n",
"2019-10-11 09:00:35 (89.9 MB/s) - ‘uncased_L-12_H-768_A-12.zip’ saved [407727028/407727028]\n",
"\n",
"Archive: uncased_L-12_H-768_A-12.zip\n",
" creating: uncased_L-12_H-768_A-12/\n",
" inflating: uncased_L-12_H-768_A-12/bert_model.ckpt.meta \n",
" inflating: uncased_L-12_H-768_A-12/bert_model.ckpt.data-00000-of-00001 \n",
" inflating: uncased_L-12_H-768_A-12/vocab.txt \n",
" inflating: uncased_L-12_H-768_A-12/bert_model.ckpt.index \n",
" inflating: uncased_L-12_H-768_A-12/bert_config.json \n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "cjLkYco0I8ZN",
"colab_type": "code",
"outputId": "2c246f8a-bb82-4dfa-c0fe-d8bf29a5cc6f",
"colab": {
"resources": {
"http://localhost:8080/nbextensions/google.colab/files.js": {
"data": "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",
"ok": true,
"headers": [
[
"content-type",
"application/javascript"
]
],
"status": 200,
"status_text": ""
}
},
"base_uri": "https://localhost:8080/",
"height": 74
}
},
"source": [
"from google.colab import files\n",
"uploaded = files.upload()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"\n",
" <input type=\"file\" id=\"files-36dd5377-4549-4d71-84fb-c33835c77753\" name=\"files[]\" multiple disabled />\n",
" <output id=\"result-36dd5377-4549-4d71-84fb-c33835c77753\">\n",
" Upload widget is only available when the cell has been executed in the\n",
" current browser session. Please rerun this cell to enable.\n",
" </output>\n",
" <script src=\"/nbextensions/google.colab/files.js\"></script> "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "stream",
"text": [
"Saving sentiment140.zip to sentiment140.zip\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "M-t2Hv97ltC2",
"colab_type": "code",
"outputId": "2e72f4be-06d4-410b-9edf-dc7103d1a1ca",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
}
},
"source": [
"!unzip \"sentiment140.zip\""
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Archive: sentiment140.zip\n",
" inflating: training.1600000.processed.noemoticon.csv \n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Lme2GjKRNYXP",
"colab_type": "text"
},
"source": [
"### Process Twitter140 dataset"
]
},
{
"cell_type": "code",
"metadata": {
"id": "1JExkb-oNX08",
"colab_type": "code",
"colab": {}
},
"source": [
"import pandas as pd"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "bMaPyo_MNeER",
"colab_type": "code",
"colab": {}
},
"source": [
"t140 = pd.read_csv('training.1600000.processed.noemoticon.csv', sep=',', header=None, encoding='latin')"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "955Wh9IQnvbm",
"colab_type": "code",
"outputId": "566a6430-69d3-4a97-d290-5e7e6989fb77",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
}
},
"source": [
"t140.head()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>1467810369</td>\n",
" <td>Mon Apr 06 22:19:45 PDT 2009</td>\n",
" <td>NO_QUERY</td>\n",
" <td>_TheSpecialOne_</td>\n",
" <td>@switchfoot http://twitpic.com/2y1zl - Awww, t...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>1467810672</td>\n",
" <td>Mon Apr 06 22:19:49 PDT 2009</td>\n",
" <td>NO_QUERY</td>\n",
" <td>scotthamilton</td>\n",
" <td>is upset that he can't update his Facebook by ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>1467810917</td>\n",
" <td>Mon Apr 06 22:19:53 PDT 2009</td>\n",
" <td>NO_QUERY</td>\n",
" <td>mattycus</td>\n",
" <td>@Kenichan I dived many times for the ball. Man...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>1467811184</td>\n",
" <td>Mon Apr 06 22:19:57 PDT 2009</td>\n",
" <td>NO_QUERY</td>\n",
" <td>ElleCTF</td>\n",
" <td>my whole body feels itchy and like its on fire</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>1467811193</td>\n",
" <td>Mon Apr 06 22:19:57 PDT 2009</td>\n",
" <td>NO_QUERY</td>\n",
" <td>Karoli</td>\n",
" <td>@nationwideclass no, it's not behaving at all....</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 ... 5\n",
"0 0 ... @switchfoot http://twitpic.com/2y1zl - Awww, t...\n",
"1 0 ... is upset that he can't update his Facebook by ...\n",
"2 0 ... @Kenichan I dived many times for the ball. Man...\n",
"3 0 ... my whole body feels itchy and like its on fire \n",
"4 0 ... @nationwideclass no, it's not behaving at all....\n",
"\n",
"[5 rows x 6 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "zwvG0mI3NeG4",
"colab_type": "code",
"colab": {}
},
"source": [
"label_text = t140[[0, 5]]"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "DrR2kmDWn7Da",
"colab_type": "code",
"outputId": "1cd59695-6140-4718-96b3-1564cfbc70a7",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 119
}
},
"source": [
"# Convert labels to range 0-1 \n",
"label_text[0] = label_text[0].apply(lambda x: 0 if x == 0 else 1)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" \"\"\"Entry point for launching an IPython kernel.\n"
],
"name": "stderr"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "r7pDYhjrn7GS",
"colab_type": "code",
"colab": {}
},
"source": [
"# Assign proper column names to labels\n",
"label_text.columns = ['label', 'text']"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "0fBLvfEtn7Il",
"colab_type": "code",
"outputId": "413b0689-d3bd-4b83-b17b-5ea8658e7fd1",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
}
},
"source": [
"label_text.head()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>label</th>\n",
" <th>text</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>@switchfoot http://twitpic.com/2y1zl - Awww, t...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>is upset that he can't update his Facebook by ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>@Kenichan I dived many times for the ball. Man...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>my whole body feels itchy and like its on fire</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>@nationwideclass no, it's not behaving at all....</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" label text\n",
"0 0 @switchfoot http://twitpic.com/2y1zl - Awww, t...\n",
"1 0 is upset that he can't update his Facebook by ...\n",
"2 0 @Kenichan I dived many times for the ball. Man...\n",
"3 0 my whole body feels itchy and like its on fire \n",
"4 0 @nationwideclass no, it's not behaving at all...."
]
},
"metadata": {
"tags": []
},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "BKJuPr4hn7K0",
"colab_type": "code",
"colab": {}
},
"source": [
"import re\n",
"\n",
"hashtags = re.compile(r\"^#\\S+|\\s#\\S+\")\n",
"mentions = re.compile(r\"^@\\S+|\\s@\\S+\")\n",
"urls = re.compile(r\"https?://\\S+\")\n",
"\n",
"def process_text(text):\n",
" text = hashtags.sub(' hashtag', text)\n",
" text = mentions.sub(' entity', text)\n",
" return text.strip().lower()\n",
" \n",
"def match_expr(pattern, string):\n",
" return not pattern.search(string) == None\n",
"\n",
"def get_data_wo_urls(dataset):\n",
" link_with_urls = dataset.text.apply(lambda x: match_expr(urls, x))\n",
" return dataset[[not e for e in link_with_urls]]"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "VzxmYooIPhEg",
"colab_type": "code",
"colab": {}
},
"source": [
"link_with_urls = label_text.text.apply(lambda x: match_expr(urls, x))"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "st8CtBTPRFGv",
"colab_type": "code",
"outputId": "ddab066c-1dfe-4173-a063-025cb714000f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"# Whatch if we can remove twitter urls from the dataset\n",
"link_with_urls.sum() / len(label_text.text)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0.043819375"
]
},
"metadata": {
"tags": []
},
"execution_count": 13
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "TfX30l86WRyP",
"colab_type": "code",
"outputId": "65159996-a152-43bf-e00a-b8cb72ae0479",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 68
}
},
"source": [
"from sklearn.model_selection import train_test_split\n",
"TRAIN_SIZE = 0.75\n",
"VAL_SIZE = 0.05\n",
"dataset_count = len(label_text)\n",
"\n",
"df_train_val, df_test = train_test_split(label_text, test_size=1-TRAIN_SIZE-VAL_SIZE, random_state=42)\n",
"df_train, df_val = train_test_split(df_train_val, test_size=VAL_SIZE / (VAL_SIZE + TRAIN_SIZE), random_state=42)\n",
"\n",
"print(\"TRAIN size:\", len(df_train))\n",
"print(\"VAL size:\", len(df_val))\n",
"print(\"TEST size:\", len(df_test))"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"TRAIN size: 1200000\n",
"VAL size: 80000\n",
"TEST size: 320000\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "-1FO_KcGXIie",
"colab_type": "code",
"colab": {}
},
"source": [
"#remove urls only on train set\n",
"df_train = get_data_wo_urls(df_train)"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "DQK92vLAn7U5",
"colab_type": "code",
"outputId": "0cd39d4c-c81f-42bb-abcb-402d9a4ddcba",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 119
}
},
"source": [
"df_train.text = df_train.text.apply(process_text)\n",
"df_val.text = df_val.text.apply(process_text)\n",
"df_test.text = df_test.text.apply(process_text)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py:5096: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" self[name] = value\n"
],
"name": "stderr"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "jiZRLY7Zn7XV",
"colab_type": "code",
"outputId": "bc789009-b102-40c8-ad18-9e0f3f1279d2",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
}
},
"source": [
"df_train.head()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>label</th>\n",
" <th>text</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>441493</th>\n",
" <td>0</td>\n",
" <td>entity i can't watch it until next week cos i ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>937763</th>\n",
" <td>1</td>\n",
" <td>just woke up</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1106597</th>\n",
" <td>1</td>\n",
" <td>in the garden with soph, fi, craig, and sarah ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1321504</th>\n",
" <td>1</td>\n",
" <td>entity can't wait to see your new hairstyle!!!</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71659</th>\n",
" <td>0</td>\n",
" <td>entity i miss you, mr. superhero. come back to...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" label text\n",
"441493 0 entity i can't watch it until next week cos i ...\n",
"937763 1 just woke up\n",
"1106597 1 in the garden with soph, fi, craig, and sarah ...\n",
"1321504 1 entity can't wait to see your new hairstyle!!!\n",
"71659 0 entity i miss you, mr. superhero. come back to..."
]
},
"metadata": {
"tags": []
},
"execution_count": 17
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "kKRu-FySn7Q4",
"colab_type": "code",
"outputId": "cab56ad8-8817-4d99-b694-13a13ef93f9c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"!mkdir dataset\n",
"df_train.sample(frac=1.0).reset_index(drop=True).to_csv('dataset/train.tsv', sep='\\t', index=None, header=None)\n",
"df_val.to_csv('dataset/dev.tsv', sep='\\t', index=None, header=None)\n",
"df_test.to_csv('dataset/test.tsv', sep='\\t', index=None, header=None)\n",
"! cd dataset && ls"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"dev.tsv test.tsv train.tsv\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3jrkTDn8ZwK2",
"colab_type": "text"
},
"source": [
"### Finetune on Twitter 140"
]
},
{
"cell_type": "code",
"metadata": {
"id": "iRZopo5tLO2t",
"colab_type": "code",
"outputId": "9494674d-f979-4776-a6e3-b650886d5a89",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
}
},
"source": [
"!pip install BertLibrary"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting BertLibrary\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/a5/f6/62c112afb62265d980e44db418094e11950a47b79ea8d71d14a2a9c6f6d8/BertLibrary-0.0.4.tar.gz (57kB)\n",
"\u001b[K |████████████████████████████████| 61kB 5.3MB/s \n",
"\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from BertLibrary) (1.16.5)\n",
"Building wheels for collected packages: BertLibrary\n",
" Building wheel for BertLibrary (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for BertLibrary: filename=BertLibrary-0.0.4-cp36-none-any.whl size=75016 sha256=2cfd3d8337819b16fd0a0424af468e11b4aefa3945e6a5de8a3199a313fe422c\n",
" Stored in directory: /root/.cache/pip/wheels/63/3d/ab/990438ec53e97a0203d2be35ad77fcdcb0750bee7057ddf25f\n",
"Successfully built BertLibrary\n",
"Installing collected packages: BertLibrary\n",
"Successfully installed BertLibrary-0.0.4\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "UEOUc2frMhl9",
"colab_type": "code",
"outputId": "47c27134-d1a7-4e57-9bb8-b9595307fb61",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 85
}
},
"source": [
"from BertLibrary import BertFTModel\n",
"import numpy as np"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/optimization.py:87: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert_evaluator.py:60: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.\n",
"\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "zUc2yvfMMw2P",
"colab_type": "code",
"outputId": "4c1be614-1b34-41be-86d7-5a35193d78b1",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 258
}
},
"source": [
"!mkdir output\n",
"ft_model = BertFTModel( model_dir='uncased_L-12_H-768_A-12',\n",
" ckpt_name=\"bert_model.ckpt\",\n",
" labels=['0','1'],\n",
" lr=1e-05,\n",
" num_train_steps=30000,\n",
" num_warmup_steps=1000,\n",
" ckpt_output_dir='output',\n",
" save_check_steps=1000,\n",
" do_lower_case=False,\n",
" max_seq_len=50,\n",
" batch_size=32,\n",
" )\n",
"\n",
"\n",
"ft_trainer = ft_model.get_trainer()\n",
"\n"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/modeling.py:93: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/models/BertModel.py:63: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
"\n",
"INFO:tensorflow:Using config: {'_model_dir': 'output', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 1000, '_save_checkpoints_secs': None, '_session_config': device_count {\n",
" key: \"GPU\"\n",
" value: 1\n",
"}\n",
"gpu_options {\n",
" per_process_gpu_memory_fraction: 0.5\n",
" allow_growth: true\n",
"}\n",
", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f63a15a2f60>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "BoyPimKdM2Qg",
"colab_type": "code",
"outputId": "f8976888-e736-476e-bf01-71fca9ef3f2b",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"ft_trainer.train_from_file('dataset', 35000)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/run_classifier.py:200: The name tf.gfile.Open is deprecated. Please use tf.io.gfile.GFile instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/run_classifier.py:488: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/run_classifier.py:492: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.\n",
"\n",
"INFO:tensorflow:Writing example 0 of 1147432\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 1\n",
"INFO:tensorflow:tokens: [CLS] entity that is so awesome ! i love art . i love to see it and i love to draw mostly . h ##f now , are you so proud ? i will be back , sorry . [SEP]\n",
"INFO:tensorflow:input_ids: 101 9178 2008 2003 2061 12476 999 1045 2293 2396 1012 1045 2293 2000 2156 2009 1998 1045 2293 2000 4009 3262 1012 1044 2546 2085 1010 2024 2017 2061 7098 1029 1045 2097 2022 2067 1010 3374 1012 102 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 0 (id = 0)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 2\n",
"INFO:tensorflow:tokens: [CLS] gear ##ing up for the graduation parties over the next few weeks . and none of them are for me [SEP]\n",
"INFO:tensorflow:input_ids: 101 6718 2075 2039 2005 1996 7665 4243 2058 1996 2279 2261 3134 1012 1998 3904 1997 2068 2024 2005 2033 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 0 (id = 0)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 3\n",
"INFO:tensorflow:tokens: [CLS] t ##wee ##t t ##wee ##t mother fuck ##ers ! [SEP]\n",
"INFO:tensorflow:input_ids: 101 1056 28394 2102 1056 28394 2102 2388 6616 2545 999 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 1 (id = 1)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 4\n",
"INFO:tensorflow:tokens: [CLS] sunny day ! going down to stone ##hen ##ge with my parents . . . [SEP]\n",
"INFO:tensorflow:input_ids: 101 11559 2154 999 2183 2091 2000 2962 10222 3351 2007 2026 3008 1012 1012 1012 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 1 (id = 1)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 5\n",
"INFO:tensorflow:tokens: [CLS] gonna miss you nan ##na & amp ; bam ##pa , she going to the lake di ##sd ##ric ##t ) : om ##g ! ! got disney channel . miss you baby matt love you x will do mitch ##el [SEP]\n",
"INFO:tensorflow:input_ids: 101 6069 3335 2017 16660 2532 1004 23713 1025 25307 4502 1010 2016 2183 2000 1996 2697 4487 16150 7277 2102 1007 1024 18168 2290 999 999 2288 6373 3149 1012 3335 2017 3336 4717 2293 2017 1060 2097 2079 11857 2884 102 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 0 (id = 0)\n",
"INFO:tensorflow:Writing example 10000 of 1147432\n",
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"INFO:tensorflow:Writing example 30000 of 1147432\n",
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"INFO:tensorflow:Writing example 100000 of 1147432\n",
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"INFO:tensorflow:Writing example 1000000 of 1147432\n",
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"INFO:tensorflow:Writing example 0 of 79999\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 1\n",
"INFO:tensorflow:tokens: [CLS] missing the days i felt you inside of me . [SEP]\n",
"INFO:tensorflow:input_ids: 101 4394 1996 2420 1045 2371 2017 2503 1997 2033 1012 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 0 (id = 0)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 2\n",
"INFO:tensorflow:tokens: [CLS] entity oh dear xx she not well ? [SEP]\n",
"INFO:tensorflow:input_ids: 101 9178 2821 6203 22038 2016 2025 2092 1029 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 0 (id = 0)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 3\n",
"INFO:tensorflow:tokens: [CLS] entity thank you i love bright colours . i could of done 100 ' s of outfits for the post . [SEP]\n",
"INFO:tensorflow:input_ids: 101 9178 4067 2017 1045 2293 4408 8604 1012 1045 2071 1997 2589 2531 1005 1055 1997 22054 2005 1996 2695 1012 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 1 (id = 1)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 4\n",
"INFO:tensorflow:tokens: [CLS] ' thinking about eating another dough ##nut . [SEP]\n",
"INFO:tensorflow:input_ids: 101 1005 3241 2055 5983 2178 23126 24072 1012 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 1 (id = 1)\n",
"INFO:tensorflow:*** Example ***\n",
"INFO:tensorflow:guid: 5\n",
"INFO:tensorflow:tokens: [CLS] entity ha ##ha than ##x ! ! ! glad u had ##fu ##n i miss the jump ##y tho [SEP]\n",
"INFO:tensorflow:input_ids: 101 9178 5292 3270 2084 2595 999 999 999 5580 1057 2018 11263 2078 1045 3335 1996 5376 2100 27793 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"INFO:tensorflow:label: 0 (id = 0)\n",
"INFO:tensorflow:Writing example 10000 of 79999\n",
"INFO:tensorflow:Writing example 20000 of 79999\n",
"INFO:tensorflow:Writing example 30000 of 79999\n",
"INFO:tensorflow:Writing example 40000 of 79999\n",
"INFO:tensorflow:Writing example 50000 of 79999\n",
"INFO:tensorflow:Writing example 60000 of 79999\n",
"INFO:tensorflow:Writing example 70000 of 79999\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/run_classifier.py:522: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.\n",
"\n",
"INFO:tensorflow:Not using Distribute Coordinator.\n",
"INFO:tensorflow:Running training and evaluation locally (non-distributed).\n",
"INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps 1000 or save_checkpoints_secs None.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.\n",
"WARNING:tensorflow:\n",
"The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
"For more information, please see:\n",
" * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
" * https://github.com/tensorflow/addons\n",
" * https://github.com/tensorflow/io (for I/O related ops)\n",
"If you depend on functionality not listed there, please file an issue.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/run_classifier.py:558: map_and_batch (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.data.experimental.map_and_batch(...)`.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/contrib/data/python/ops/batching.py:276: map_and_batch (from tensorflow.python.data.experimental.ops.batching) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.data.Dataset.map(map_func, num_parallel_calls)` followed by `tf.data.Dataset.batch(batch_size, drop_remainder)`. Static tf.data optimizations will take care of using the fused implementation.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.parse_single_example is deprecated. Please use tf.io.parse_single_example instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/run_classifier.py:538: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use `tf.cast` instead.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/modeling.py:171: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/modeling.py:409: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/modeling.py:490: The name tf.assert_less_equal is deprecated. Please use tf.compat.v1.assert_less_equal instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/modeling.py:358: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/modeling.py:671: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use keras.layers.Dense instead.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/layers/core.py:187: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Please use `layer.__call__` method instead.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/models/BertFTModel.py:85: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/models/BertFTModel.py:91: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.\n",
"\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/optimization.py:27: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/bert/optimization.py:32: The name tf.train.polynomial_decay is deprecated. Please use tf.compat.v1.train.polynomial_decay instead.\n",
"\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1375: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Create CheckpointSaverHook.\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Saving checkpoints for 0 into output/model.ckpt.\n",
"INFO:tensorflow:loss = 0.7035128, step = 0\n",
"INFO:tensorflow:global_step/sec: 1.07839\n",
"INFO:tensorflow:loss = 0.649971, step = 100 (92.731 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47234\n",
"INFO:tensorflow:loss = 0.45542616, step = 200 (67.919 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47212\n",
"INFO:tensorflow:loss = 0.4907836, step = 300 (67.929 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47338\n",
"INFO:tensorflow:loss = 0.36708605, step = 400 (67.871 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47349\n",
"INFO:tensorflow:loss = 0.29859704, step = 500 (67.867 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4732\n",
"INFO:tensorflow:loss = 0.36330086, step = 600 (67.879 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47219\n",
"INFO:tensorflow:loss = 0.35278592, step = 700 (67.926 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47328\n",
"INFO:tensorflow:loss = 0.37080318, step = 800 (67.876 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47574\n",
"INFO:tensorflow:loss = 0.27870393, step = 900 (67.763 sec)\n",
"INFO:tensorflow:Saving checkpoints for 1000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/BertLibrary/models/BertFTModel.py:114: The name tf.metrics.accuracy is deprecated. Please use tf.compat.v1.metrics.accuracy instead.\n",
"\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T10:34:47Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-1000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-10:35:10\n",
"INFO:tensorflow:Saving dict for global step 1000: eval_accuracy = 0.8178125, global_step = 1000, loss = 0.40687692\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1000: output/model.ckpt-1000\n",
"INFO:tensorflow:global_step/sec: 0.989463\n",
"INFO:tensorflow:loss = 0.2785729, step = 1000 (101.065 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47675\n",
"INFO:tensorflow:loss = 0.26144108, step = 1100 (67.716 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47294\n",
"INFO:tensorflow:loss = 0.30720848, step = 1200 (67.892 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46993\n",
"INFO:tensorflow:loss = 0.27015355, step = 1300 (68.030 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47433\n",
"INFO:tensorflow:loss = 0.36960083, step = 1400 (67.828 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47497\n",
"INFO:tensorflow:loss = 0.35321254, step = 1500 (67.798 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47217\n",
"INFO:tensorflow:loss = 0.40196472, step = 1600 (67.927 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47239\n",
"INFO:tensorflow:loss = 0.49425638, step = 1700 (67.917 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47297\n",
"INFO:tensorflow:loss = 0.52898496, step = 1800 (67.890 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46619\n",
"INFO:tensorflow:loss = 0.43624488, step = 1900 (68.205 sec)\n",
"INFO:tensorflow:Saving checkpoints for 2000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T10:46:40Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-2000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-10:47:02\n",
"INFO:tensorflow:Saving dict for global step 2000: eval_accuracy = 0.8265625, global_step = 2000, loss = 0.38451695\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 2000: output/model.ckpt-2000\n",
"INFO:tensorflow:global_step/sec: 0.999061\n",
"INFO:tensorflow:loss = 0.40198132, step = 2000 (100.100 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4602\n",
"INFO:tensorflow:loss = 0.44622794, step = 2100 (68.478 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46254\n",
"INFO:tensorflow:loss = 0.27596992, step = 2200 (68.379 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47415\n",
"INFO:tensorflow:loss = 0.38605028, step = 2300 (67.830 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47365\n",
"INFO:tensorflow:loss = 0.5553335, step = 2400 (67.859 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47254\n",
"INFO:tensorflow:loss = 0.38716668, step = 2500 (67.910 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47353\n",
"INFO:tensorflow:loss = 0.45460677, step = 2600 (67.865 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47499\n",
"INFO:tensorflow:loss = 0.58348715, step = 2700 (67.797 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47393\n",
"INFO:tensorflow:loss = 0.37042457, step = 2800 (67.849 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47312\n",
"INFO:tensorflow:loss = 0.31825078, step = 2900 (67.879 sec)\n",
"INFO:tensorflow:Saving checkpoints for 3000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T10:58:32Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-3000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-10:58:54\n",
"INFO:tensorflow:Saving dict for global step 3000: eval_accuracy = 0.83125, global_step = 3000, loss = 0.37913066\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 3000: output/model.ckpt-3000\n",
"INFO:tensorflow:global_step/sec: 0.999985\n",
"INFO:tensorflow:loss = 0.19983181, step = 3000 (100.001 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47695\n",
"INFO:tensorflow:loss = 0.29340678, step = 3100 (67.713 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46214\n",
"INFO:tensorflow:loss = 0.38931113, step = 3200 (68.387 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47047\n",
"INFO:tensorflow:loss = 0.38227463, step = 3300 (68.006 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46594\n",
"INFO:tensorflow:loss = 0.53037024, step = 3400 (68.216 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47366\n",
"INFO:tensorflow:loss = 0.15128677, step = 3500 (67.859 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47277\n",
"INFO:tensorflow:loss = 0.21139508, step = 3600 (67.899 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47313\n",
"INFO:tensorflow:loss = 0.24274412, step = 3700 (67.882 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47411\n",
"INFO:tensorflow:loss = 0.3231197, step = 3800 (67.838 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47496\n",
"INFO:tensorflow:loss = 0.19970244, step = 3900 (67.798 sec)\n",
"INFO:tensorflow:Saving checkpoints for 4000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T11:10:23Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-4000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-11:10:46\n",
"INFO:tensorflow:Saving dict for global step 4000: eval_accuracy = 0.83875, global_step = 4000, loss = 0.35653192\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 4000: output/model.ckpt-4000\n",
"INFO:tensorflow:global_step/sec: 0.99846\n",
"INFO:tensorflow:loss = 0.1779663, step = 4000 (100.154 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47929\n",
"INFO:tensorflow:loss = 0.33032897, step = 4100 (67.601 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47359\n",
"INFO:tensorflow:loss = 0.34393644, step = 4200 (67.861 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47457\n",
"INFO:tensorflow:loss = 0.32105824, step = 4300 (67.820 sec)\n",
"INFO:tensorflow:global_step/sec: 1.477\n",
"INFO:tensorflow:loss = 0.5383484, step = 4400 (67.701 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47515\n",
"INFO:tensorflow:loss = 0.3089344, step = 4500 (67.789 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47541\n",
"INFO:tensorflow:loss = 0.630183, step = 4600 (67.778 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47479\n",
"INFO:tensorflow:loss = 0.47093406, step = 4700 (67.806 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47433\n",
"INFO:tensorflow:loss = 0.34141058, step = 4800 (67.829 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47097\n",
"INFO:tensorflow:loss = 0.33585545, step = 4900 (67.981 sec)\n",
"INFO:tensorflow:Saving checkpoints for 5000 into output/model.ckpt.\n",
"WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py:963: remove_checkpoint (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
"Instructions for updating:\n",
"Use standard file APIs to delete files with this prefix.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T11:22:14Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-5000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-11:22:37\n",
"INFO:tensorflow:Saving dict for global step 5000: eval_accuracy = 0.8465625, global_step = 5000, loss = 0.35566193\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 5000: output/model.ckpt-5000\n",
"INFO:tensorflow:global_step/sec: 0.993257\n",
"INFO:tensorflow:loss = 0.3131762, step = 5000 (100.679 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47572\n",
"INFO:tensorflow:loss = 0.25138688, step = 5100 (67.764 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47479\n",
"INFO:tensorflow:loss = 0.3011467, step = 5200 (67.807 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47302\n",
"INFO:tensorflow:loss = 0.43996108, step = 5300 (67.887 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47138\n",
"INFO:tensorflow:loss = 0.26408288, step = 5400 (67.968 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47409\n",
"INFO:tensorflow:loss = 0.33910078, step = 5500 (67.837 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47675\n",
"INFO:tensorflow:loss = 0.39577025, step = 5600 (67.714 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47491\n",
"INFO:tensorflow:loss = 0.34581956, step = 5700 (67.802 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4752\n",
"INFO:tensorflow:loss = 0.43478554, step = 5800 (67.786 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47685\n",
"INFO:tensorflow:loss = 0.2995265, step = 5900 (67.711 sec)\n",
"INFO:tensorflow:Saving checkpoints for 6000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T11:34:04Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-6000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-11:34:26\n",
"INFO:tensorflow:Saving dict for global step 6000: eval_accuracy = 0.841875, global_step = 6000, loss = 0.35297698\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 6000: output/model.ckpt-6000\n",
"INFO:tensorflow:global_step/sec: 1.00844\n",
"INFO:tensorflow:loss = 0.19152549, step = 6000 (99.163 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47759\n",
"INFO:tensorflow:loss = 0.4620433, step = 6100 (67.678 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46942\n",
"INFO:tensorflow:loss = 0.26105577, step = 6200 (68.054 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4642\n",
"INFO:tensorflow:loss = 0.44216412, step = 6300 (68.297 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46624\n",
"INFO:tensorflow:loss = 0.22590253, step = 6400 (68.204 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46332\n",
"INFO:tensorflow:loss = 0.7491813, step = 6500 (68.335 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46186\n",
"INFO:tensorflow:loss = 0.45070365, step = 6600 (68.406 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46065\n",
"INFO:tensorflow:loss = 0.28477862, step = 6700 (68.467 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45893\n",
"INFO:tensorflow:loss = 0.40987307, step = 6800 (68.540 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45513\n",
"INFO:tensorflow:loss = 0.3343039, step = 6900 (68.722 sec)\n",
"INFO:tensorflow:Saving checkpoints for 7000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T11:45:59Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-7000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-11:46:22\n",
"INFO:tensorflow:Saving dict for global step 7000: eval_accuracy = 0.8484375, global_step = 7000, loss = 0.3484286\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 7000: output/model.ckpt-7000\n",
"INFO:tensorflow:global_step/sec: 0.991723\n",
"INFO:tensorflow:loss = 0.4400736, step = 7000 (100.839 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45178\n",
"INFO:tensorflow:loss = 0.35202247, step = 7100 (68.876 sec)\n",
"INFO:tensorflow:global_step/sec: 1.43634\n",
"INFO:tensorflow:loss = 0.22436914, step = 7200 (69.622 sec)\n",
"INFO:tensorflow:global_step/sec: 1.43778\n",
"INFO:tensorflow:loss = 0.46857107, step = 7300 (69.551 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45133\n",
"INFO:tensorflow:loss = 0.4560805, step = 7400 (68.902 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45843\n",
"INFO:tensorflow:loss = 0.53390753, step = 7500 (68.567 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46584\n",
"INFO:tensorflow:loss = 0.37903866, step = 7600 (68.220 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46101\n",
"INFO:tensorflow:loss = 0.287807, step = 7700 (68.446 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47268\n",
"INFO:tensorflow:loss = 0.23678431, step = 7800 (67.906 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47559\n",
"INFO:tensorflow:loss = 0.5354427, step = 7900 (67.767 sec)\n",
"INFO:tensorflow:Saving checkpoints for 8000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T11:57:57Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-8000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-11:58:20\n",
"INFO:tensorflow:Saving dict for global step 8000: eval_accuracy = 0.855625, global_step = 8000, loss = 0.34508935\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 8000: output/model.ckpt-8000\n",
"INFO:tensorflow:global_step/sec: 1.00029\n",
"INFO:tensorflow:loss = 0.4029896, step = 8000 (99.974 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47798\n",
"INFO:tensorflow:loss = 0.28054142, step = 8100 (67.659 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47163\n",
"INFO:tensorflow:loss = 0.37772322, step = 8200 (67.950 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47509\n",
"INFO:tensorflow:loss = 0.22136071, step = 8300 (67.793 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47557\n",
"INFO:tensorflow:loss = 0.2668681, step = 8400 (67.770 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47427\n",
"INFO:tensorflow:loss = 0.2984609, step = 8500 (67.830 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47482\n",
"INFO:tensorflow:loss = 0.2099951, step = 8600 (67.805 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47383\n",
"INFO:tensorflow:loss = 0.46132445, step = 8700 (67.850 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47583\n",
"INFO:tensorflow:loss = 0.25296932, step = 8800 (67.759 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47353\n",
"INFO:tensorflow:loss = 0.41865388, step = 8900 (67.868 sec)\n",
"INFO:tensorflow:Saving checkpoints for 9000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T12:09:47Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-9000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-12:10:10\n",
"INFO:tensorflow:Saving dict for global step 9000: eval_accuracy = 0.849375, global_step = 9000, loss = 0.33942708\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 9000: output/model.ckpt-9000\n",
"INFO:tensorflow:global_step/sec: 0.998964\n",
"INFO:tensorflow:loss = 0.4130041, step = 9000 (100.099 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47565\n",
"INFO:tensorflow:loss = 0.48248762, step = 9100 (67.769 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47559\n",
"INFO:tensorflow:loss = 0.5017506, step = 9200 (67.768 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47249\n",
"INFO:tensorflow:loss = 0.61264265, step = 9300 (67.912 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47455\n",
"INFO:tensorflow:loss = 0.40533423, step = 9400 (67.818 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47404\n",
"INFO:tensorflow:loss = 0.26409644, step = 9500 (67.841 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47453\n",
"INFO:tensorflow:loss = 0.26281548, step = 9600 (67.818 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47417\n",
"INFO:tensorflow:loss = 0.3769442, step = 9700 (67.839 sec)\n",
"INFO:tensorflow:global_step/sec: 1.475\n",
"INFO:tensorflow:loss = 0.2578622, step = 9800 (67.793 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47394\n",
"INFO:tensorflow:loss = 0.37403375, step = 9900 (67.852 sec)\n",
"INFO:tensorflow:Saving checkpoints for 10000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T12:21:38Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-10000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-12:22:01\n",
"INFO:tensorflow:Saving dict for global step 10000: eval_accuracy = 0.8490625, global_step = 10000, loss = 0.34491828\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 10000: output/model.ckpt-10000\n",
"INFO:tensorflow:global_step/sec: 0.991291\n",
"INFO:tensorflow:loss = 0.5246879, step = 10000 (100.872 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47773\n",
"INFO:tensorflow:loss = 0.40515548, step = 10100 (67.671 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47365\n",
"INFO:tensorflow:loss = 0.20955452, step = 10200 (67.859 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4755\n",
"INFO:tensorflow:loss = 0.1597664, step = 10300 (67.774 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47426\n",
"INFO:tensorflow:loss = 0.3357665, step = 10400 (67.830 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47517\n",
"INFO:tensorflow:loss = 0.3004233, step = 10500 (67.789 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47366\n",
"INFO:tensorflow:loss = 0.2593539, step = 10600 (67.859 sec)\n",
"INFO:tensorflow:global_step/sec: 1.47332\n",
"INFO:tensorflow:loss = 0.237751, step = 10700 (67.874 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46382\n",
"INFO:tensorflow:loss = 0.2830137, step = 10800 (68.315 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46185\n",
"INFO:tensorflow:loss = 0.20614076, step = 10900 (68.406 sec)\n",
"INFO:tensorflow:Saving checkpoints for 11000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T12:33:30Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-11000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-12:33:53\n",
"INFO:tensorflow:Saving dict for global step 11000: eval_accuracy = 0.851875, global_step = 11000, loss = 0.3414265\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 11000: output/model.ckpt-11000\n",
"INFO:tensorflow:global_step/sec: 0.994751\n",
"INFO:tensorflow:loss = 0.23953864, step = 11000 (100.527 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46073\n",
"INFO:tensorflow:loss = 0.3274428, step = 11100 (68.459 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45327\n",
"INFO:tensorflow:loss = 0.15417919, step = 11200 (68.810 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45932\n",
"INFO:tensorflow:loss = 0.2583814, step = 11300 (68.526 sec)\n",
"INFO:tensorflow:global_step/sec: 1.44418\n",
"INFO:tensorflow:loss = 0.31018674, step = 11400 (69.244 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46486\n",
"INFO:tensorflow:loss = 0.30576286, step = 11500 (68.268 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46662\n",
"INFO:tensorflow:loss = 0.32509524, step = 11600 (68.181 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46579\n",
"INFO:tensorflow:loss = 0.37235075, step = 11700 (68.226 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46467\n",
"INFO:tensorflow:loss = 0.3995314, step = 11800 (68.272 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46777\n",
"INFO:tensorflow:loss = 0.41977635, step = 11900 (68.130 sec)\n",
"INFO:tensorflow:Saving checkpoints for 12000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T12:45:27Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-12000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-12:45:50\n",
"INFO:tensorflow:Saving dict for global step 12000: eval_accuracy = 0.859375, global_step = 12000, loss = 0.32817966\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 12000: output/model.ckpt-12000\n",
"INFO:tensorflow:global_step/sec: 0.988991\n",
"INFO:tensorflow:loss = 0.21199691, step = 12000 (101.113 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46284\n",
"INFO:tensorflow:loss = 0.30816957, step = 12100 (68.360 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46507\n",
"INFO:tensorflow:loss = 0.28626314, step = 12200 (68.256 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46532\n",
"INFO:tensorflow:loss = 0.25377446, step = 12300 (68.245 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46178\n",
"INFO:tensorflow:loss = 0.30551407, step = 12400 (68.410 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45896\n",
"INFO:tensorflow:loss = 0.38203478, step = 12500 (68.542 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46384\n",
"INFO:tensorflow:loss = 0.44956967, step = 12600 (68.313 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46579\n",
"INFO:tensorflow:loss = 0.46698827, step = 12700 (68.223 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46308\n",
"INFO:tensorflow:loss = 0.24639134, step = 12800 (68.349 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46253\n",
"INFO:tensorflow:loss = 0.33388638, step = 12900 (68.375 sec)\n",
"INFO:tensorflow:Saving checkpoints for 13000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T12:57:23Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-13000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-12:57:46\n",
"INFO:tensorflow:Saving dict for global step 13000: eval_accuracy = 0.8490625, global_step = 13000, loss = 0.33700693\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 13000: output/model.ckpt-13000\n",
"INFO:tensorflow:global_step/sec: 0.996863\n",
"INFO:tensorflow:loss = 0.3329906, step = 13000 (100.314 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46529\n",
"INFO:tensorflow:loss = 0.2882095, step = 13100 (68.246 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46359\n",
"INFO:tensorflow:loss = 0.48461288, step = 13200 (68.325 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46366\n",
"INFO:tensorflow:loss = 0.1949652, step = 13300 (68.322 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46529\n",
"INFO:tensorflow:loss = 0.24291968, step = 13400 (68.246 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46631\n",
"INFO:tensorflow:loss = 0.30232346, step = 13500 (68.198 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46595\n",
"INFO:tensorflow:loss = 0.23518297, step = 13600 (68.215 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46436\n",
"INFO:tensorflow:loss = 0.25189024, step = 13700 (68.289 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46347\n",
"INFO:tensorflow:loss = 0.2265433, step = 13800 (68.337 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46497\n",
"INFO:tensorflow:loss = 0.4393595, step = 13900 (68.255 sec)\n",
"INFO:tensorflow:Saving checkpoints for 14000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T13:09:18Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-14000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-13:09:41\n",
"INFO:tensorflow:Saving dict for global step 14000: eval_accuracy = 0.853125, global_step = 14000, loss = 0.3307205\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 14000: output/model.ckpt-14000\n",
"INFO:tensorflow:global_step/sec: 0.993704\n",
"INFO:tensorflow:loss = 0.31778437, step = 14000 (100.635 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46325\n",
"INFO:tensorflow:loss = 0.18167871, step = 14100 (68.339 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46148\n",
"INFO:tensorflow:loss = 0.31844413, step = 14200 (68.424 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46307\n",
"INFO:tensorflow:loss = 0.5009509, step = 14300 (68.349 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46484\n",
"INFO:tensorflow:loss = 0.47012672, step = 14400 (68.267 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4652\n",
"INFO:tensorflow:loss = 0.20181423, step = 14500 (68.250 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46478\n",
"INFO:tensorflow:loss = 0.29409078, step = 14600 (68.272 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46113\n",
"INFO:tensorflow:loss = 0.43423516, step = 14700 (68.438 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46573\n",
"INFO:tensorflow:loss = 0.43933246, step = 14800 (68.228 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46525\n",
"INFO:tensorflow:loss = 0.2623428, step = 14900 (68.252 sec)\n",
"INFO:tensorflow:Saving checkpoints for 15000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T13:21:14Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-15000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-13:21:37\n",
"INFO:tensorflow:Saving dict for global step 15000: eval_accuracy = 0.861875, global_step = 15000, loss = 0.33108675\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 15000: output/model.ckpt-15000\n",
"INFO:tensorflow:global_step/sec: 0.98792\n",
"INFO:tensorflow:loss = 0.3440707, step = 15000 (101.218 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4624\n",
"INFO:tensorflow:loss = 0.4063381, step = 15100 (68.379 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4625\n",
"INFO:tensorflow:loss = 0.44715175, step = 15200 (68.377 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46267\n",
"INFO:tensorflow:loss = 0.30827323, step = 15300 (68.373 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46361\n",
"INFO:tensorflow:loss = 0.15776421, step = 15400 (68.319 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46537\n",
"INFO:tensorflow:loss = 0.15558892, step = 15500 (68.242 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46465\n",
"INFO:tensorflow:loss = 0.25949636, step = 15600 (68.281 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4579\n",
"INFO:tensorflow:loss = 0.28328907, step = 15700 (68.592 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46099\n",
"INFO:tensorflow:loss = 0.3189972, step = 15800 (68.447 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45518\n",
"INFO:tensorflow:loss = 0.2258949, step = 15900 (68.717 sec)\n",
"INFO:tensorflow:Saving checkpoints for 16000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T13:33:11Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-16000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-13:33:34\n",
"INFO:tensorflow:Saving dict for global step 16000: eval_accuracy = 0.855, global_step = 16000, loss = 0.3337535\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 16000: output/model.ckpt-16000\n",
"INFO:tensorflow:global_step/sec: 0.988991\n",
"INFO:tensorflow:loss = 0.39762414, step = 16000 (101.111 sec)\n",
"INFO:tensorflow:global_step/sec: 1.44519\n",
"INFO:tensorflow:loss = 0.3387958, step = 16100 (69.194 sec)\n",
"INFO:tensorflow:global_step/sec: 1.44719\n",
"INFO:tensorflow:loss = 0.20518593, step = 16200 (69.100 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45672\n",
"INFO:tensorflow:loss = 0.4640385, step = 16300 (68.647 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46508\n",
"INFO:tensorflow:loss = 0.59175444, step = 16400 (68.256 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46552\n",
"INFO:tensorflow:loss = 0.27212414, step = 16500 (68.235 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46386\n",
"INFO:tensorflow:loss = 0.25312513, step = 16600 (68.312 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46481\n",
"INFO:tensorflow:loss = 0.24582122, step = 16700 (68.268 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46636\n",
"INFO:tensorflow:loss = 0.25064254, step = 16800 (68.196 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46198\n",
"INFO:tensorflow:loss = 0.37540865, step = 16900 (68.401 sec)\n",
"INFO:tensorflow:Saving checkpoints for 17000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T13:45:08Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-17000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-13:45:31\n",
"INFO:tensorflow:Saving dict for global step 17000: eval_accuracy = 0.86125, global_step = 17000, loss = 0.32782662\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 17000: output/model.ckpt-17000\n",
"INFO:tensorflow:global_step/sec: 0.989633\n",
"INFO:tensorflow:loss = 0.2817424, step = 17000 (101.047 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46404\n",
"INFO:tensorflow:loss = 0.46575186, step = 17100 (68.304 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46372\n",
"INFO:tensorflow:loss = 0.3716169, step = 17200 (68.319 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46306\n",
"INFO:tensorflow:loss = 0.38840345, step = 17300 (68.350 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46532\n",
"INFO:tensorflow:loss = 0.17394893, step = 17400 (68.245 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46536\n",
"INFO:tensorflow:loss = 0.3699004, step = 17500 (68.243 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4652\n",
"INFO:tensorflow:loss = 0.2311627, step = 17600 (68.250 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46304\n",
"INFO:tensorflow:loss = 0.14886594, step = 17700 (68.351 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46337\n",
"INFO:tensorflow:loss = 0.29203564, step = 17800 (68.335 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46465\n",
"INFO:tensorflow:loss = 0.4186856, step = 17900 (68.281 sec)\n",
"INFO:tensorflow:Saving checkpoints for 18000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T13:57:04Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-18000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-13:57:27\n",
"INFO:tensorflow:Saving dict for global step 18000: eval_accuracy = 0.8634375, global_step = 18000, loss = 0.3253268\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 18000: output/model.ckpt-18000\n",
"INFO:tensorflow:global_step/sec: 0.992688\n",
"INFO:tensorflow:loss = 0.3055663, step = 18000 (100.732 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46448\n",
"INFO:tensorflow:loss = 0.712807, step = 18100 (68.284 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46278\n",
"INFO:tensorflow:loss = 0.43246305, step = 18200 (68.364 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46381\n",
"INFO:tensorflow:loss = 0.24524122, step = 18300 (68.314 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46391\n",
"INFO:tensorflow:loss = 0.16169897, step = 18400 (68.310 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46585\n",
"INFO:tensorflow:loss = 0.3284373, step = 18500 (68.220 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46433\n",
"INFO:tensorflow:loss = 0.43074226, step = 18600 (68.291 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46499\n",
"INFO:tensorflow:loss = 0.27489096, step = 18700 (68.262 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46341\n",
"INFO:tensorflow:loss = 0.29615664, step = 18800 (68.330 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46197\n",
"INFO:tensorflow:loss = 0.3211646, step = 18900 (68.401 sec)\n",
"INFO:tensorflow:Saving checkpoints for 19000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T14:09:00Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-19000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-14:09:22\n",
"INFO:tensorflow:Saving dict for global step 19000: eval_accuracy = 0.860625, global_step = 19000, loss = 0.3304867\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 19000: output/model.ckpt-19000\n",
"INFO:tensorflow:global_step/sec: 0.993677\n",
"INFO:tensorflow:loss = 0.33903795, step = 19000 (100.636 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46146\n",
"INFO:tensorflow:loss = 0.30885166, step = 19100 (68.424 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46207\n",
"INFO:tensorflow:loss = 0.23026396, step = 19200 (68.396 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46399\n",
"INFO:tensorflow:loss = 0.36104977, step = 19300 (68.306 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46334\n",
"INFO:tensorflow:loss = 0.3256808, step = 19400 (68.337 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46367\n",
"INFO:tensorflow:loss = 0.3032791, step = 19500 (68.322 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46675\n",
"INFO:tensorflow:loss = 0.3437878, step = 19600 (68.178 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46552\n",
"INFO:tensorflow:loss = 0.5523422, step = 19700 (68.236 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46651\n",
"INFO:tensorflow:loss = 0.23271525, step = 19800 (68.189 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46489\n",
"INFO:tensorflow:loss = 0.2611339, step = 19900 (68.264 sec)\n",
"INFO:tensorflow:Saving checkpoints for 20000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T14:20:55Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-20000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-14:21:18\n",
"INFO:tensorflow:Saving dict for global step 20000: eval_accuracy = 0.8615625, global_step = 20000, loss = 0.32857394\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 20000: output/model.ckpt-20000\n",
"INFO:tensorflow:global_step/sec: 0.987148\n",
"INFO:tensorflow:loss = 0.34875536, step = 20000 (101.302 sec)\n",
"INFO:tensorflow:global_step/sec: 1.44345\n",
"INFO:tensorflow:loss = 0.39713454, step = 20100 (69.278 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4587\n",
"INFO:tensorflow:loss = 0.44972, step = 20200 (68.555 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4659\n",
"INFO:tensorflow:loss = 0.24264564, step = 20300 (68.217 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46283\n",
"INFO:tensorflow:loss = 0.3768472, step = 20400 (68.361 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46262\n",
"INFO:tensorflow:loss = 0.42100197, step = 20500 (68.370 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46295\n",
"INFO:tensorflow:loss = 0.41906473, step = 20600 (68.355 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46637\n",
"INFO:tensorflow:loss = 0.3778448, step = 20700 (68.196 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4648\n",
"INFO:tensorflow:loss = 0.28915375, step = 20800 (68.273 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46575\n",
"INFO:tensorflow:loss = 0.41666442, step = 20900 (68.226 sec)\n",
"INFO:tensorflow:Saving checkpoints for 21000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T14:32:52Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-21000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-14:33:15\n",
"INFO:tensorflow:Saving dict for global step 21000: eval_accuracy = 0.8625, global_step = 21000, loss = 0.32614118\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 21000: output/model.ckpt-21000\n",
"INFO:tensorflow:global_step/sec: 0.993515\n",
"INFO:tensorflow:loss = 0.2995334, step = 21000 (100.647 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46265\n",
"INFO:tensorflow:loss = 0.37837118, step = 21100 (68.369 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46085\n",
"INFO:tensorflow:loss = 0.36679342, step = 21200 (68.456 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46567\n",
"INFO:tensorflow:loss = 0.20183158, step = 21300 (68.225 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46466\n",
"INFO:tensorflow:loss = 0.30013525, step = 21400 (68.276 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46449\n",
"INFO:tensorflow:loss = 0.4741701, step = 21500 (68.283 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46484\n",
"INFO:tensorflow:loss = 0.31764013, step = 21600 (68.267 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46611\n",
"INFO:tensorflow:loss = 0.34808654, step = 21700 (68.207 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46322\n",
"INFO:tensorflow:loss = 0.28594425, step = 21800 (68.342 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46239\n",
"INFO:tensorflow:loss = 0.25921732, step = 21900 (68.387 sec)\n",
"INFO:tensorflow:Saving checkpoints for 22000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T14:44:47Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-22000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-14:45:10\n",
"INFO:tensorflow:Saving dict for global step 22000: eval_accuracy = 0.865625, global_step = 22000, loss = 0.3278204\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 22000: output/model.ckpt-22000\n",
"INFO:tensorflow:global_step/sec: 0.990403\n",
"INFO:tensorflow:loss = 0.34119833, step = 22000 (100.963 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4635\n",
"INFO:tensorflow:loss = 0.19505039, step = 22100 (68.329 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45097\n",
"INFO:tensorflow:loss = 0.14283091, step = 22200 (68.920 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45406\n",
"INFO:tensorflow:loss = 0.33003622, step = 22300 (68.772 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45776\n",
"INFO:tensorflow:loss = 0.28848737, step = 22400 (68.599 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46123\n",
"INFO:tensorflow:loss = 0.29788896, step = 22500 (68.436 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46033\n",
"INFO:tensorflow:loss = 0.21151373, step = 22600 (68.483 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45253\n",
"INFO:tensorflow:loss = 0.24544121, step = 22700 (68.841 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45736\n",
"INFO:tensorflow:loss = 0.2939229, step = 22800 (68.617 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46113\n",
"INFO:tensorflow:loss = 0.17716713, step = 22900 (68.440 sec)\n",
"INFO:tensorflow:Saving checkpoints for 23000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T14:56:46Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-23000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-14:57:09\n",
"INFO:tensorflow:Saving dict for global step 23000: eval_accuracy = 0.8659375, global_step = 23000, loss = 0.325446\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 23000: output/model.ckpt-23000\n",
"INFO:tensorflow:global_step/sec: 0.992868\n",
"INFO:tensorflow:loss = 0.54250515, step = 23000 (100.718 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46298\n",
"INFO:tensorflow:loss = 0.3037501, step = 23100 (68.358 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46524\n",
"INFO:tensorflow:loss = 0.38680518, step = 23200 (68.244 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46597\n",
"INFO:tensorflow:loss = 0.29979843, step = 23300 (68.214 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46316\n",
"INFO:tensorflow:loss = 0.19051065, step = 23400 (68.346 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46521\n",
"INFO:tensorflow:loss = 0.44546056, step = 23500 (68.253 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46452\n",
"INFO:tensorflow:loss = 0.20905276, step = 23600 (68.278 sec)\n",
"INFO:tensorflow:global_step/sec: 1.465\n",
"INFO:tensorflow:loss = 0.3926255, step = 23700 (68.264 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46235\n",
"INFO:tensorflow:loss = 0.34245437, step = 23800 (68.378 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45593\n",
"INFO:tensorflow:loss = 0.49199986, step = 23900 (68.689 sec)\n",
"INFO:tensorflow:Saving checkpoints for 24000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T15:08:41Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-24000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-15:09:05\n",
"INFO:tensorflow:Saving dict for global step 24000: eval_accuracy = 0.8659375, global_step = 24000, loss = 0.32608506\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 24000: output/model.ckpt-24000\n",
"INFO:tensorflow:global_step/sec: 0.989202\n",
"INFO:tensorflow:loss = 0.14462714, step = 24000 (101.087 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46364\n",
"INFO:tensorflow:loss = 0.32733297, step = 24100 (68.323 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46256\n",
"INFO:tensorflow:loss = 0.4415276, step = 24200 (68.373 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4633\n",
"INFO:tensorflow:loss = 0.25776994, step = 24300 (68.338 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46577\n",
"INFO:tensorflow:loss = 0.23256266, step = 24400 (68.224 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46638\n",
"INFO:tensorflow:loss = 0.27183345, step = 24500 (68.195 sec)\n",
"INFO:tensorflow:global_step/sec: 1.465\n",
"INFO:tensorflow:loss = 0.24493381, step = 24600 (68.263 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46439\n",
"INFO:tensorflow:loss = 0.35476094, step = 24700 (68.284 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46622\n",
"INFO:tensorflow:loss = 0.29390612, step = 24800 (68.202 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46596\n",
"INFO:tensorflow:loss = 0.44776264, step = 24900 (68.215 sec)\n",
"INFO:tensorflow:Saving checkpoints for 25000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
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"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T15:20:37Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-25000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-15:21:00\n",
"INFO:tensorflow:Saving dict for global step 25000: eval_accuracy = 0.8659375, global_step = 25000, loss = 0.31928864\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 25000: output/model.ckpt-25000\n",
"INFO:tensorflow:global_step/sec: 0.989745\n",
"INFO:tensorflow:loss = 0.19268522, step = 25001 (101.036 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46078\n",
"INFO:tensorflow:loss = 0.38522673, step = 25100 (68.457 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46371\n",
"INFO:tensorflow:loss = 0.40084672, step = 25200 (68.320 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4651\n",
"INFO:tensorflow:loss = 0.3159029, step = 25300 (68.255 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46242\n",
"INFO:tensorflow:loss = 0.27747384, step = 25400 (68.381 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46117\n",
"INFO:tensorflow:loss = 0.4207318, step = 25500 (68.437 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45925\n",
"INFO:tensorflow:loss = 0.48281032, step = 25600 (68.529 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46644\n",
"INFO:tensorflow:loss = 0.18580931, step = 25700 (68.198 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46411\n",
"INFO:tensorflow:loss = 0.25612855, step = 25800 (68.295 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46441\n",
"INFO:tensorflow:loss = 0.3080981, step = 25900 (68.287 sec)\n",
"INFO:tensorflow:Saving checkpoints for 26000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T15:32:33Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-26000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-15:32:57\n",
"INFO:tensorflow:Saving dict for global step 26000: eval_accuracy = 0.865625, global_step = 26000, loss = 0.32308215\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 26000: output/model.ckpt-26000\n",
"INFO:tensorflow:global_step/sec: 0.987076\n",
"INFO:tensorflow:loss = 0.31854984, step = 26000 (101.309 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46199\n",
"INFO:tensorflow:loss = 0.4899547, step = 26100 (68.402 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46142\n",
"INFO:tensorflow:loss = 0.2657761, step = 26200 (68.424 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46564\n",
"INFO:tensorflow:loss = 0.19708277, step = 26300 (68.233 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4656\n",
"INFO:tensorflow:loss = 0.33821458, step = 26400 (68.228 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46423\n",
"INFO:tensorflow:loss = 0.48696184, step = 26500 (68.299 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46275\n",
"INFO:tensorflow:loss = 0.3894636, step = 26600 (68.364 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46317\n",
"INFO:tensorflow:loss = 0.302589, step = 26700 (68.341 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46503\n",
"INFO:tensorflow:loss = 0.23212525, step = 26800 (68.258 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46387\n",
"INFO:tensorflow:loss = 0.34851497, step = 26900 (68.312 sec)\n",
"INFO:tensorflow:Saving checkpoints for 27000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T15:44:30Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-27000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-15:44:53\n",
"INFO:tensorflow:Saving dict for global step 27000: eval_accuracy = 0.8646875, global_step = 27000, loss = 0.32217866\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 27000: output/model.ckpt-27000\n",
"INFO:tensorflow:global_step/sec: 0.981042\n",
"INFO:tensorflow:loss = 0.45474085, step = 27000 (101.933 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46127\n",
"INFO:tensorflow:loss = 0.3304409, step = 27100 (68.434 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46232\n",
"INFO:tensorflow:loss = 0.62448025, step = 27200 (68.385 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46313\n",
"INFO:tensorflow:loss = 0.2263968, step = 27300 (68.346 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46528\n",
"INFO:tensorflow:loss = 0.3433301, step = 27400 (68.247 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46465\n",
"INFO:tensorflow:loss = 0.3075748, step = 27500 (68.276 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45503\n",
"INFO:tensorflow:loss = 0.24075472, step = 27600 (68.727 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46309\n",
"INFO:tensorflow:loss = 0.20664963, step = 27700 (68.348 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46256\n",
"INFO:tensorflow:loss = 0.16707116, step = 27800 (68.374 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46397\n",
"INFO:tensorflow:loss = 0.114731, step = 27900 (68.307 sec)\n",
"INFO:tensorflow:Saving checkpoints for 28000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T15:56:26Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-28000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-15:56:49\n",
"INFO:tensorflow:Saving dict for global step 28000: eval_accuracy = 0.866875, global_step = 28000, loss = 0.31921276\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 28000: output/model.ckpt-28000\n",
"INFO:tensorflow:global_step/sec: 0.995433\n",
"INFO:tensorflow:loss = 0.3296198, step = 28000 (100.459 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46102\n",
"INFO:tensorflow:loss = 0.3240565, step = 28100 (68.446 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4645\n",
"INFO:tensorflow:loss = 0.17801553, step = 28200 (68.282 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46602\n",
"INFO:tensorflow:loss = 0.29999337, step = 28300 (68.212 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46391\n",
"INFO:tensorflow:loss = 0.35463816, step = 28400 (68.310 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46413\n",
"INFO:tensorflow:loss = 0.62854266, step = 28500 (68.300 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46442\n",
"INFO:tensorflow:loss = 0.1427511, step = 28600 (68.286 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46516\n",
"INFO:tensorflow:loss = 0.31687608, step = 28700 (68.256 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46334\n",
"INFO:tensorflow:loss = 0.39286008, step = 28800 (68.333 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4627\n",
"INFO:tensorflow:loss = 0.3933366, step = 28900 (68.367 sec)\n",
"INFO:tensorflow:Saving checkpoints for 29000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T16:08:22Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-29000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-16:08:45\n",
"INFO:tensorflow:Saving dict for global step 29000: eval_accuracy = 0.8671875, global_step = 29000, loss = 0.3210002\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 29000: output/model.ckpt-29000\n",
"INFO:tensorflow:global_step/sec: 0.991736\n",
"INFO:tensorflow:loss = 0.2805311, step = 29000 (100.833 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46382\n",
"INFO:tensorflow:loss = 0.08421178, step = 29100 (68.319 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46546\n",
"INFO:tensorflow:loss = 0.3996992, step = 29200 (68.234 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46159\n",
"INFO:tensorflow:loss = 0.22041893, step = 29300 (68.418 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46132\n",
"INFO:tensorflow:loss = 0.36852413, step = 29400 (68.432 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46343\n",
"INFO:tensorflow:loss = 0.23479705, step = 29500 (68.332 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46616\n",
"INFO:tensorflow:loss = 0.42185327, step = 29600 (68.212 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4634\n",
"INFO:tensorflow:loss = 0.34861887, step = 29700 (68.328 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4638\n",
"INFO:tensorflow:loss = 0.6003078, step = 29800 (68.319 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46396\n",
"INFO:tensorflow:loss = 0.31043673, step = 29900 (68.309 sec)\n",
"INFO:tensorflow:Saving checkpoints for 30000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T16:20:17Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-30000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-16:20:41\n",
"INFO:tensorflow:Saving dict for global step 30000: eval_accuracy = 0.8675, global_step = 30000, loss = 0.3195382\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 30000: output/model.ckpt-30000\n",
"INFO:tensorflow:global_step/sec: 0.992154\n",
"INFO:tensorflow:loss = 0.37727308, step = 30000 (100.786 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46186\n",
"INFO:tensorflow:loss = 0.5877675, step = 30100 (68.406 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46324\n",
"INFO:tensorflow:loss = 0.19887795, step = 30200 (68.341 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46359\n",
"INFO:tensorflow:loss = 0.4465833, step = 30300 (68.326 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46557\n",
"INFO:tensorflow:loss = 0.3358844, step = 30400 (68.233 sec)\n",
"INFO:tensorflow:global_step/sec: 1.4639\n",
"INFO:tensorflow:loss = 0.56330085, step = 30500 (68.314 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46346\n",
"INFO:tensorflow:loss = 0.25364727, step = 30600 (68.332 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46384\n",
"INFO:tensorflow:loss = 0.18479401, step = 30700 (68.309 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46565\n",
"INFO:tensorflow:loss = 0.3163011, step = 30800 (68.229 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46262\n",
"INFO:tensorflow:loss = 0.4282276, step = 30900 (68.370 sec)\n",
"INFO:tensorflow:Saving checkpoints for 31000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T16:32:14Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-31000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-16:32:37\n",
"INFO:tensorflow:Saving dict for global step 31000: eval_accuracy = 0.8684375, global_step = 31000, loss = 0.31760484\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 31000: output/model.ckpt-31000\n",
"INFO:tensorflow:global_step/sec: 0.986778\n",
"INFO:tensorflow:loss = 0.34449404, step = 31000 (101.344 sec)\n",
"INFO:tensorflow:global_step/sec: 1.43849\n",
"INFO:tensorflow:loss = 0.42156735, step = 31100 (69.516 sec)\n",
"INFO:tensorflow:global_step/sec: 1.43953\n",
"INFO:tensorflow:loss = 0.3801384, step = 31200 (69.464 sec)\n",
"INFO:tensorflow:global_step/sec: 1.43614\n",
"INFO:tensorflow:loss = 0.35421064, step = 31300 (69.631 sec)\n",
"INFO:tensorflow:global_step/sec: 1.45782\n",
"INFO:tensorflow:loss = 0.22535712, step = 31400 (68.599 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46154\n",
"INFO:tensorflow:loss = 0.23153725, step = 31500 (68.417 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46499\n",
"INFO:tensorflow:loss = 0.2349609, step = 31600 (68.260 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46513\n",
"INFO:tensorflow:loss = 0.3728097, step = 31700 (68.253 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46304\n",
"INFO:tensorflow:loss = 0.30569986, step = 31800 (68.351 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46475\n",
"INFO:tensorflow:loss = 0.14555393, step = 31900 (68.271 sec)\n",
"INFO:tensorflow:Saving checkpoints for 32000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T16:44:13Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-32000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-16:44:37\n",
"INFO:tensorflow:Saving dict for global step 32000: eval_accuracy = 0.8684375, global_step = 32000, loss = 0.3174779\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 32000: output/model.ckpt-32000\n",
"INFO:tensorflow:global_step/sec: 0.990919\n",
"INFO:tensorflow:loss = 0.2738493, step = 32000 (100.916 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46457\n",
"INFO:tensorflow:loss = 0.17102285, step = 32100 (68.283 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46493\n",
"INFO:tensorflow:loss = 0.26810855, step = 32200 (68.264 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46285\n",
"INFO:tensorflow:loss = 0.31388795, step = 32300 (68.360 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46241\n",
"INFO:tensorflow:loss = 0.14776719, step = 32400 (68.380 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46448\n",
"INFO:tensorflow:loss = 0.6149469, step = 32500 (68.279 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46438\n",
"INFO:tensorflow:loss = 0.424361, step = 32600 (68.289 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46462\n",
"INFO:tensorflow:loss = 0.29246032, step = 32700 (68.277 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46439\n",
"INFO:tensorflow:loss = 0.50018, step = 32800 (68.288 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46538\n",
"INFO:tensorflow:loss = 0.23553053, step = 32900 (68.241 sec)\n",
"INFO:tensorflow:Saving checkpoints for 33000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T16:56:09Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-33000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-16:56:33\n",
"INFO:tensorflow:Saving dict for global step 33000: eval_accuracy = 0.8671875, global_step = 33000, loss = 0.3197228\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 33000: output/model.ckpt-33000\n",
"INFO:tensorflow:global_step/sec: 0.986795\n",
"INFO:tensorflow:loss = 0.24034488, step = 33000 (101.342 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46273\n",
"INFO:tensorflow:loss = 0.48960525, step = 33100 (68.362 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46483\n",
"INFO:tensorflow:loss = 0.25874847, step = 33200 (68.266 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46432\n",
"INFO:tensorflow:loss = 0.378543, step = 33300 (68.291 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46175\n",
"INFO:tensorflow:loss = 0.45328498, step = 33400 (68.411 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46582\n",
"INFO:tensorflow:loss = 0.4351107, step = 33500 (68.221 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46782\n",
"INFO:tensorflow:loss = 0.1638022, step = 33600 (68.131 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46499\n",
"INFO:tensorflow:loss = 0.3684077, step = 33700 (68.262 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46704\n",
"INFO:tensorflow:loss = 0.3723687, step = 33800 (68.164 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46877\n",
"INFO:tensorflow:loss = 0.49248773, step = 33900 (68.079 sec)\n",
"INFO:tensorflow:Saving checkpoints for 34000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T17:08:04Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-34000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-17:08:27\n",
"INFO:tensorflow:Saving dict for global step 34000: eval_accuracy = 0.87, global_step = 34000, loss = 0.31555888\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 34000: output/model.ckpt-34000\n",
"INFO:tensorflow:global_step/sec: 0.994141\n",
"INFO:tensorflow:loss = 0.31647515, step = 34000 (100.590 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46348\n",
"INFO:tensorflow:loss = 0.28683144, step = 34100 (68.330 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46621\n",
"INFO:tensorflow:loss = 0.15557271, step = 34200 (68.203 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46763\n",
"INFO:tensorflow:loss = 0.05959732, step = 34300 (68.137 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46557\n",
"INFO:tensorflow:loss = 0.17241164, step = 34400 (68.233 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46476\n",
"INFO:tensorflow:loss = 0.1965886, step = 34500 (68.275 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46621\n",
"INFO:tensorflow:loss = 0.3154999, step = 34600 (68.204 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46709\n",
"INFO:tensorflow:loss = 0.38759187, step = 34700 (68.157 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46767\n",
"INFO:tensorflow:loss = 0.2473499, step = 34800 (68.136 sec)\n",
"INFO:tensorflow:global_step/sec: 1.46399\n",
"INFO:tensorflow:loss = 0.21996738, step = 34900 (68.309 sec)\n",
"INFO:tensorflow:Saving checkpoints for 35000 into output/model.ckpt.\n",
"INFO:tensorflow:Calling model_fn.\n",
"INFO:tensorflow:*** Features ***\n",
"INFO:tensorflow: name = input_ids, shape = (32, 50)\n",
"INFO:tensorflow: name = input_mask, shape = (32, 50)\n",
"INFO:tensorflow: name = is_real_example, shape = (32,)\n",
"INFO:tensorflow: name = label_ids, shape = (32,)\n",
"INFO:tensorflow: name = segment_ids, shape = (32, 50)\n",
"INFO:tensorflow:**** Trainable Variables ****\n",
"INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (30522, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), *INIT_FROM_CKPT*\n",
"INFO:tensorflow: name = output_weights:0, shape = (2, 768)\n",
"INFO:tensorflow: name = output_bias:0, shape = (2,)\n",
"INFO:tensorflow:Done calling model_fn.\n",
"INFO:tensorflow:Starting evaluation at 2019-10-11T17:19:59Z\n",
"INFO:tensorflow:Graph was finalized.\n",
"INFO:tensorflow:Restoring parameters from output/model.ckpt-35000\n",
"INFO:tensorflow:Running local_init_op.\n",
"INFO:tensorflow:Done running local_init_op.\n",
"INFO:tensorflow:Evaluation [10/100]\n",
"INFO:tensorflow:Evaluation [20/100]\n",
"INFO:tensorflow:Evaluation [30/100]\n",
"INFO:tensorflow:Evaluation [40/100]\n",
"INFO:tensorflow:Evaluation [50/100]\n",
"INFO:tensorflow:Evaluation [60/100]\n",
"INFO:tensorflow:Evaluation [70/100]\n",
"INFO:tensorflow:Evaluation [80/100]\n",
"INFO:tensorflow:Evaluation [90/100]\n",
"INFO:tensorflow:Evaluation [100/100]\n",
"INFO:tensorflow:Finished evaluation at 2019-10-11-17:20:22\n",
"INFO:tensorflow:Saving dict for global step 35000: eval_accuracy = 0.8678125, global_step = 35000, loss = 0.32139838\n",
"INFO:tensorflow:Saving 'checkpoint_path' summary for global step 35000: output/model.ckpt-35000\n",
"INFO:tensorflow:Loss for final step: 0.34504288.\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hTA2thvplQN0",
"colab_type": "text"
},
"source": [
"As you can see from that last evaluation step, eval_accuracy is 0.8678125 with loss at 0.32139838"
]
}
]
}