{ "model": "llama", "dataset": { "repo_id": "ZeyuLing/hftrainer_wikitext2", "revision": "e9aaa6354f59bf18cb8d0fe53cd2e0dce1dd9aa4", "local_dir": "data/hftrainer_wikitext2", "files_verified": 6, "splits": { "train": 23767, "validation": 2461, "test": 2891 }, "manifest_sha256": "af6c7e4557e3b0cd17dbe11c26eea38a0861363555b3b65f2f206fbf29dee219" }, "base_checkpoint": { "repo_id": "ZeyuLing/HFTrainer-TinyLlama-1.1B-Chat", "revision": "f782b84ba99cef1c24a5d216801a70117647980c", "bundle": "LlamaBundle", "local_dir": "checkpoints/hftrainer/llama", "access": "Public" }, "steps": 20, "saved_checkpoints": [ "work_dirs/public_data/llama/checkpoint-iter_20/model.pt" ], "seed": 42, "hardware": "1 \u00d7 NVIDIA H200 (143771 MiB reported)", "torch": "2.8.0+cu128", "config": "configs/public_data/llama.py", "protocol": "Short real-data execution validation; raw unsmoothed training loss. Not convergence or a quality benchmark.", "series": [ { "step": 1, "loss": 2.6082 }, { "step": 2, "loss": 3.6665 }, { "step": 3, "loss": 2.7389 }, { "step": 4, "loss": 2.6583 }, { "step": 5, "loss": 3.8328 }, { "step": 6, "loss": 2.8432 }, { "step": 7, "loss": 1.8229 }, { "step": 8, "loss": 2.2783 }, { "step": 9, "loss": 2.0579 }, { "step": 10, "loss": 2.515 }, { "step": 11, "loss": 3.3605 }, { "step": 12, "loss": 2.5275 }, { "step": 13, "loss": 2.7208 }, { "step": 14, "loss": 3.1409 }, { "step": 15, "loss": 2.4183 }, { "step": 16, "loss": 2.4929 }, { "step": 17, "loss": 2.413 }, { "step": 18, "loss": 2.8502 }, { "step": 19, "loss": 2.3922 }, { "step": 20, "loss": 2.7264 } ] }