初始化项目,由ModelHub XC社区提供模型
Model: cs-552-2026-the-transformers/general_knowledge_model Source: Original Platform
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84
data_manifest.json
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84
data_manifest.json
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{
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"total_train": 6396,
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"raw_before_dedup": 6396,
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"config": {
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"model": {
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"id": "Qwen/Qwen3-1.7B",
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"cache_dir": "/scratch/hf_cache"
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},
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"system_prompt": "You are a knowledgeable assistant. For multiple-choice questions, reason step by step, then write only the letter of the correct answer inside \\boxed{}.\n",
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"data": {
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"sources": [
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"/scratch/data/gk_jennifer_knowledge_v6.jsonl"
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],
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"max_samples": null,
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"sampling_strategy": "source_balanced",
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"max_seq_length": 4096,
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"max_think_chars": 0,
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"seed": 7
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},
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"training": {
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"output_dir": "/scratch/checkpoints/gk_thinking_v6_knowledge_base",
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"num_train_epochs": 2,
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"learning_rate": 7e-06,
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"per_device_train_batch_size": 2,
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"gradient_accumulation_steps": 8,
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"warmup_ratio": 0.05,
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"seed": 7,
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"bf16": true,
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"logging_steps": 10,
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"save_strategy": "epoch",
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"gradient_checkpointing": true
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},
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"generation": {
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"do_sample": true,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643
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}
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},
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"source_counts": {
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"cot_distill/jennifer/other": 201,
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"cot_distill/jennifer/business": 91,
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"cot_distill/jennifer/mmlu": 4602,
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"cot_distill/jennifer/biology": 140,
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"cot_distill/jennifer/engineering": 49,
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"cot_distill/jennifer/economics": 203,
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"cot_distill/jennifer/math": 196,
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"cot_distill/jennifer/health": 170,
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"cot_distill/jennifer/physics": 118,
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"cot_distill/jennifer/law": 150,
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"cot_distill/jennifer/psychology": 161,
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"cot_distill/jennifer/computer science": 60,
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"cot_distill/jennifer/history": 56,
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"cot_distill/jennifer/philosophy": 93,
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"cot_distill/jennifer/chemistry": 106
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},
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"answer_letter_counts": {
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"A": 1364,
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"B": 1414,
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"C": 1456,
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"D": 1185,
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"E": 383,
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"F": 115,
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"G": 101,
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"H": 80,
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"I": 76,
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"J": 50,
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"K": 29,
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"L": 36,
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"M": 32,
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"N": 19,
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"O": 16,
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"P": 9,
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"Q": 9,
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"R": 13,
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"S": 5,
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"T": 4
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}
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}
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