{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "zJvyUmZdktu0",
"outputId": "25275dd8-4787-4b77-f7bf-4f2bbe66f0b8"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/workspace/axolotl\n"
]
}
],
"source": [
"%cd /workspace/axolotl"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mC48y25Lkqa5",
"outputId": "2757a3c8-3790-4fd3-be39-03be8f533b35"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Setting ds_accelerator to cuda (auto detect)\n",
"accelerate configuration saved at /root/.cache/huggingface/accelerate/default_config.yaml\n"
]
}
],
"source": [
"!accelerate config --config_file configs/accelerate/default_config.yaml default"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Open files to modify:\n",
"\n",
"/workspace/axolotl/examples/falcon/qlora.yml"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"base_model: tiiuae/falcon-rw-1b\n",
"base_model_config: tiiuae/falcon-rw-1b\n",
"trust_remote_code: true\n",
"model_type: AutoModelForCausalLM\n",
"tokenizer_type: AutoTokenizer\n",
"load_in_8bit: false\n",
"load_in_4bit: true\n",
"gptq: false\n",
"strict: false\n",
"push_dataset_to_hub:\n",
"datasets:\n",
" # - path: AtlasUnified/Code-Instruct-Sets\n",
" # data_files:\n",
" # - unmasked-set-1.jsonl\n",
" # - unmasked-set-2.jsonl\n",
" # - unmasked-set-3.jsonl\n",
" # - unmasked-set-4.jsonl\n",
" # type: alpaca_code_instruct\n",
" # - path: winglian/pygmalion-cleaned\n",
" # data_files:\n",
" # - v13_no_ai.cleaned.jsonl\n",
" # type: pygmalion\n",
" # shards: 4\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - hf/ARC-Challenge.jsonl\n",
" # - hf/ARC-Easy.jsonl\n",
" # - hf/riddle_sense.jsonl\n",
" # type: explainchoice:chat\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - hf/gsm8k.jsonl\n",
" # - custom/logic_inference_oa.jsonl\n",
" # type: alpaca_chat.load_qa\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - custom/in_context_qa.jsonl\n",
" # type: context_qa\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - custom/in_context_qa.jsonl\n",
" # type: context_qa.load_404\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - custom/jokes_explained_500up.jsonl\n",
" # type: sharegpt_jokes\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - custom/classify-self-chat.sharegpt.jsonl\n",
" # - custom/coding-self-chat.sharegpt.jsonl\n",
" # - custom/prose-gpt4.sharegpt.jsonl\n",
" # - custom/prose-rewrite-gpt4.sharegpt.jsonl\n",
" # type: sharegpt_simple\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - custom/guanaco-cleaned.en.jsonl\n",
" # type: sharegpt_simple.load_guanaco\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - openai/tldr.jsonl\n",
" # type: summarizetldr:chat\n",
" # - path: winglian/evals\n",
" # data_files:\n",
" # - hellaswag/hellaswag.jsonl\n",
" # type: explainchoice:chat\n",
" # shards: 60\n",
" # - path: metaeval/ScienceQA_text_only\n",
" # type: concisechoice:chat\n",
" # shards: 13\n",
" # - path: teknium/GPTeacher-General-Instruct\n",
" # data_files: \n",
" # - gpt4-instruct-similarity-0.6-dataset.json\n",
" # type: gpteacher:chat\n",
" - path: QingyiSi/Alpaca-CoT\n",
" data_files:\n",
" # - chain-of-thought/formatted_cot_data/aqua_train.jsonl\n",
" # - Chain-of-Thought/formatted_cot_data/creak_train.json\n",
" # - Chain-of-Thought/formatted_cot_data/ecqa_train.json\n",
" # - Chain-of-Thought/formatted_cot_data/esnli_train.json\n",
" - Chain-of-Thought/formatted_cot_data/gsm8k_train.json\n",
" # - Chain-of-Thought/formatted_cot_data/qasc_train.json\n",
" # - Chain-of-Thought/formatted_cot_data/qed_train.json\n",
" # - Chain-of-Thought/formatted_cot_data/sensemaking_train.json\n",
" # - Chain-of-Thought/formatted_cot_data/strategyqa_train.json\n",
" # - GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json\n",
" type: \"alpaca:chat\"\n",
"dataset_prepared_path: last_run_prepared\n",
"val_set_size: 0.01\n",
"adapter: qlora\n",
"lora_model_dir:\n",
"sequence_len: 2048\n",
"max_packed_sequence_len: 2048\n",
"lora_r: 64\n",
"lora_alpha: 16\n",
"lora_dropout: 0.05\n",
"lora_target_modules:\n",
"lora_target_linear: true\n",
"lora_fan_in_fan_out:\n",
"wandb_project: falcon-qlora\n",
"wandb_watch:\n",
"wandb_run_id:\n",
"wandb_log_model: checkpoint\n",
"output_dir: ./qlora-out\n",
"batch_size: 24\n",
"micro_batch_size: 12\n",
"num_epochs: 3\n",
"optimizer: paged_adamw_32bit\n",
"torchdistx_path:\n",
"lr_scheduler: cosine\n",
"learning_rate: 0.0002\n",
"train_on_inputs: false\n",
"group_by_length: false\n",
"bf16: true\n",
"fp16: false\n",
"tf32: true\n",
"gradient_checkpointing: true\n",
"# stop training after this many evaluation losses have increased in a row\n",
"# https://huggingface.co/transformers/v4.2.2/_modules/transformers/trainer_callback.html#EarlyStoppingCallback\n",
"early_stopping_patience: 3\n",
"resume_from_checkpoint:\n",
"auto_resume_from_checkpoints: true\n",
"local_rank:\n",
"logging_steps: 1\n",
"xformers_attention: false\n",
"flash_attention:\n",
"gptq_groupsize:\n",
"gptq_model_v1:\n",
"warmup_steps: 10\n",
"eval_steps: 5\n",
"save_steps: 10\n",
"debug:\n",
"deepspeed:\n",
"weight_decay: 0.000001\n",
"fsdp:\n",
"fsdp_config:\n",
"special_tokens:\n",
" pad_token: \"<|endoftext|>\"\n",
" bos_token: \">>ABSTRACT<<\"\n",
" eos_token: \"<|endoftext|>\"\n"
]
}
],
"source": [
"!cat examples/falcon/qlora.yml"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "jICMPJuomFsx",
"scrolled": true
},
"outputs": [],
"source": [
"!accelerate launch scripts/finetune.py examples/falcon/qlora.yml"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Below are ad hoc cells handling issues during training"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"!ps aux|grep python|grep finetune|awk '{print $2}'|xargs kill"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!apt install zip\n",
"!zip -r last_run_prepared.zip -xi last_run_prepared"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!nvitop -m full"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"!apt install lsof"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"!lsof /dev/nvidia*"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"authorship_tag": "ABX9TyP0jHt4WNuLaC5ecmX0YtWl",
"gpuType": "T4",
"include_colab_link": true,
"provenance": [],
"toc_visible": true
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 4
}