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46 lines
1.3 KiB
JSON
46 lines
1.3 KiB
JSON
{
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"schema_version": 1,
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"experiment": "8-9",
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"stage": "student_sft",
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"status": "complete",
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"generated_at_utc": "2026-08-01T06:30:16.654563+00:00",
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"book_git_commit": "88a5c5e86da9f9b0f97a46b4d501d715dc741e5a",
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"training_data": {
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"path": "/home/ubuntu/ai-agent-book/chapter8/cot-distillation/data/sft_cot_distill_aime_kimi_k3.jsonl",
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"sha256": "0c6cab7cb8e0bd13671eda4e2bd0dc2530f7483f09ae42e946b87600a979968e",
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"samples": 23
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},
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"base_model": "Qwen/Qwen2.5-1.5B-Instruct",
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"output_dir": "/home/ubuntu/ai-agent-book/chapter8/cot-distillation/checkpoints/exp8-9-qwen25-1.5b-kimi-k3-20260801-v1",
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"host": {
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"platform": "Linux-6.8.0-111-generic-x86_64-with-glibc2.35",
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"gpu_names": [
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"NVIDIA RTX PRO 6000 Blackwell Workstation Edition"
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],
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"torch": "2.11.0+cu130"
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},
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"dependency_versions": {
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"torch": "2.11.0",
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"transformers": "5.14.1",
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"accelerate": "1.14.0",
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"peft": "0.19.1"
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},
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"training": {
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"epochs": 3.0,
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"learning_rate": 2e-05,
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"max_length": 20000,
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"batch_size": 1,
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"gradient_accumulation": 16,
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"lora_rank": 32,
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"seed": 42,
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"metrics": {
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"train_runtime": 27.4522,
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"train_samples_per_second": 2.513,
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"total_flos": 2276355718923264.0,
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"train_loss": 2.173003077507019,
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"epoch": 3.0
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}
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}
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}
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