Files
v22_scratch_clean_cot_lr6e6…/experiment_recipe.json
ModelHub XC fef4a8b0b6 初始化项目,由ModelHub XC社区提供模型
Model: lldois/v22_scratch_clean_cot_lr6e6_ep3
Source: Original Platform
2026-07-29 05:52:24 +08:00

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{
"created_at": "2026-07-10 01:00:49",
"run": {
"name": "v22_scratch_clean_cot_lr6e6_ep3",
"dataset": "scratch_clean_cot_ep3",
"model_path": "OpenOneRec/OneReason-0.8B-pretrain-competition",
"lr": "6.0e-6",
"epochs": 3,
"warmup": 0.02,
"scheduler": "cosine",
"seed": 202607221,
"note": "Scratch SFT from official OneReason. Clean CoT-balanced long run: original CoT data plus short/clean rec CoT, no-think direct rec route, strict user JSON, and strong item replay. Tests whether 3 epochs at low LR learns stable CoT without v7 final-only bias.",
"config": "/home/ll/llm4rec/experiments/configs/v22_scratch_clean_cot_lr6e6_ep3.yaml"
},
"dataset_manifest": {
"name": "scratch_clean_cot_ep3",
"path": "/home/ll/llm4rec/experiments/data/scratch_clean_cot_ep3.jsonl",
"records": 66060,
"groups": {
"user": 9278,
"item": 21578,
"rec": 35204
},
"variants": {
"user_array_json_strict": 1588,
"raw": 32480,
"item_short_think": 2792,
"rec_cot_pattern_clean": 9600,
"rec_no_think_direct_final": 6400,
"user_strict_array": 1588,
"item_compact_cot": 5597,
"user_extra_no_think_logic": 602,
"item_no_think_direct_final": 2805,
"user_logic_json_strict": 1304,
"user_strict_logic": 1304
},
"sha256": "a7de0c5c501a7dfeca8170ca9f37a0fa24eae24d78a83164cc24ff502e619a38",
"seed": 202607111
},
"dataset_recipe": "Scratch official-OneReason SFT: original CoT all + 9600 cleaned rec CoT + 6400 rec /no_think direct-final + strict user JSON/route aug + item route aug + compact item CoT aug.",
"cot_policy": "Preserve /think reasoning supervision and do not use v7_final_only as a CoT training base. For /no_think prompts, train pure final answers without generated <think> tags. This is route-specific behavior, not global CoT removal.",
"raw_counts": {
"rec": 19204,
"item": 10384,
"user": 2892
},
"eval_observations": {
"v07": "best local score so far: total=0.8978, eval_time≈47.3min; fast final outputs likely help.",
"v15": "best CoT-preserving score so far: total=0.8778, eval_time≈70.1min; logs show repeated tokens, JSON shell errors, prompt leakage, and verbose /no_think outputs.",
"v19": "best CoT-native continuation so far: total=0.8855, eval_time≈48.1min; user1 and rec4 improved but world dropped.",
"v20": "v7 final-only continuation with CoT restore failed as a CoT route: total=0.8527, item fell to 0.1840; do not use v7 as future CoT base.",
"v16": "CoT pattern rewrite failed: total=0.7912; logs show malformed user JSON and fragmented recommendation reasoning.",
"v18": "low-LR mixed replay from v12 failed: total=0.8340; item/world dropped and rec outputs mixed text/itemic/think tags."
},
"script": "/home/ll/llm4rec/experiments/run_experiments.py",
"script_sha256": "a03ddf5a479db437247aed4b8000b25cb5021988029220bd818133123951aa00",
"deadline": "2026-07-10 09:00:00 +0800",
"reproduce": {
"prepare_command": "EXPERIMENT_PREPARE_ONLY=1 python3 experiments/run_experiments.py",
"train_command": "CUDA_VISIBLE_DEVICES=<gpu> bash -lc 'source /home/ll/llm4rec/demo/LLaMA-Factory/.venv/bin/activate && llamafactory-cli train /home/ll/llm4rec/experiments/configs/v22_scratch_clean_cot_lr6e6_ep3.yaml'"
}
}