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end_timestamp
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stage_name
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stage_number
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2025-09-20T04:13:34.734603
2025-09-20T04:13:59.605079
evaluation_eval_rl
1
INFO
Complete log capture for stage: evaluation_eval_rl
[INFO] Starting stage: Evaluation - eval_rl [INFO] Starting evaluation pipeline for eval_rl [INFO] Evaluating model: TAUR-dev/M-rl_1e_v2__pv_v2-rl__150 [INFO] Tasks: ['countdown_2arg', 'countdown_3arg', 'countdown_4arg', 'countdown_5arg', 'countdown_6arg', 'commonsenseQA', 'gsm8k', 'longmult_2dig', 'longmult_3dig', 'longmult_4dig', 'longmult_5dig', 'acronym_5o', 'acronym_4o', 'letter_countdown_5o', 'letter_countdown_4o'] [INFO] Annotators: ['sample_based_budget_forcing'] πŸš€ Starting evaluation pipeline... Loading from TAUR-dev/D-DATA-canonical_dataset_splits-v1-7_13_25 with configs: ['countdown_2arg', 'countdown_3arg', 'countdown_4arg', 'countdown_5arg', 'countdown_6arg', 'commonsenseQA', 'gsm8k', 'longmult_2dig', 'longmult_3dig', 'longmult_4dig', 'longmult_5dig', 'acronym_5o', 'acronym_4o', 'letter_countdown_5o', 'letter_countdown_4o'] and splits: ['test'] βœ… Loaded 250 samples from countdown_2arg/test βœ… Loaded 250 samples from countdown_3arg/test βœ… Loaded 250 samples from countdown_4arg/test βœ… Loaded 250 samples from countdown_5arg/test βœ… Loaded 250 samples from countdown_6arg/test βœ… Loaded 100 samples from commonsenseQA/test βœ… Loaded 100 samples from gsm8k/test βœ… Loaded 250 samples from longmult_2dig/test βœ… Loaded 250 samples from longmult_3dig/test βœ… Loaded 250 samples from longmult_4dig/test βœ… Loaded 250 samples from longmult_5dig/test βœ… Loaded 144 samples from acronym_5o/test βœ… Loaded 197 samples from acronym_4o/test βœ… Loaded 250 samples from letter_countdown_5o/test βœ… Loaded 250 samples from letter_countdown_4o/test ❌ Evaluation failed: The features can't be aligned because the key model_responses of features {'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'task_config': Value(dtype='string', id=None), 'task_source': Value(dtype='string', id=None), 'prompt': [{'content': Value(dtype='string', id=None), 'role': Value(dtype='string', id=None)}], 'model_responses': [Value(dtype='string', id=None)], 'model_responses__eval_is_correct': [Value(dtype='bool', id=None)], 'all_other_columns': Value(dtype='string', id=None), 'original_split': Value(dtype='string', id=None)} has unexpected type - [Value(dtype='string', id=None)] (expected either Sequence(feature=Value(dtype='string', id=None), length=-1, id=None) or Value("null"). [ERROR] Stage error: ValueError: The features can't be aligned because the key model_responses of features {'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'task_config': Value(dtype='string', id=None), 'task_source': Value(dtype='string', id=None), 'prompt': [{'content': Value(dtype='string', id=None), 'role': Value(dtype='string', id=None)}], 'model_responses': [Value(dtype='string', id=None)], 'model_responses__eval_is_correct': [Value(dtype='bool', id=None)], 'all_other_columns': Value(dtype='string', id=None), 'original_split': Value(dtype='string', id=None)} has unexpected type - [Value(dtype='string', id=None)] (expected either Sequence(feature=Value(dtype='string', id=None), length=-1, id=None) or Value("null").
Generating sft_train split: 0%| | 0/3713 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 3713/3713 [00:00<00:00, 693231.73 examples/s] Generating rl_train split: 0%| | 0/985 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 985/985 [00:00<00:00, 170683.31 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 145011.20 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 155968.47 examples/s] Generating sft_train split: 0%| | 0/3998 [00:00<?, ? examples/s] Generating sft_train split: 25%|β–ˆβ–ˆβ–Œ | 1000/3998 [00:00<00:00, 6855.85 examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 3998/3998 [00:00<00:00, 18388.81 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 17633.87 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 17206.98 examples/s] Generating old_test split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating old_test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 23661.34 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 93924.76 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 770126.97 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 275614.67 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 93314.59 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 145373.08 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 788032.69 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 569491.38 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 76734.43 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 163380.49 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 816369.81 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 500752.63 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 95716.66 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 192894.78 examples/s] Generating sft_train split: 0%| | 0/4125 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4125/4125 [00:00<00:00, 160331.24 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 325316.37 examples/s] Generating val split: 0%| | 0/100 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 56058.59 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 167772.16 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 1006310.94 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 355871.71 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 215711.99 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 167450.65 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 1013178.09 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 586862.18 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 181665.97 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 152055.68 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 1277971.97 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 589584.48 examples/s] Generating val split: 0%| | 0/250 [00:00<?, ? examples/s] Generating val split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 201455.52 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 171448.01 examples/s] Generating test split: 0%| | 0/144 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 144/144 [00:00<00:00, 70181.24 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 1170285.71 examples/s] Generating rl_train split: 0%| | 0/782 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 782/782 [00:00<00:00, 251048.28 examples/s] Generating test split: 0%| | 0/197 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 197/197 [00:00<00:00, 104578.90 examples/s] Generating sft_train split: 0%| | 0/3103 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 3103/3103 [00:00<00:00, 1020698.40 examples/s] Generating rl_train split: 0%| | 0/926 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 926/926 [00:00<00:00, 267856.93 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 123813.44 examples/s] Generating sft_train split: 0%| | 0/4000 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 4000/4000 [00:00<00:00, 1303388.44 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 525470.31 examples/s] Generating test split: 0%| | 0/250 [00:00<?, ? examples/s] Generating test split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 250/250 [00:00<00:00, 116989.40 examples/s] Generating sft_train split: 0%| | 0/3895 [00:00<?, ? examples/s] Generating sft_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 3895/3895 [00:00<00:00, 1274123.70 examples/s] Generating rl_train split: 0%| | 0/1000 [00:00<?, ? examples/s] Generating rl_train split: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1000/1000 [00:00<00:00, 326582.89 examples/s]
RC_FixedBF_pv_v2_mll-RL
24.870476
true
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