timestamp stringdate 2025-10-25 19:33:08 2025-10-25 19:35:23 | end_timestamp stringdate 2025-10-25 19:33:29 2025-10-25 19:35:34 | stage_name stringclasses 1 value | stage_number int64 1 1 | level stringclasses 1 value | message stringclasses 1 value | stdout_content stringclasses 2 values | stderr_content stringclasses 2 values | experiment_name stringclasses 1 value | elapsed_time_seconds float64 12.2 21.2 | stage_complete bool 1 class |
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2025-10-25T19:33:08.506626 | 2025-10-25T19:33:29.739818 | 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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl
[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: ['best_of_n_atags']
🚀 Starting evaluation pipeline...
Loading from TAUR-dev/D-DATA-canonical_dataset_test_splits-v2-9_22_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']
✅ Loaded 982 samples from countdown_2arg/test
✅ Loaded 1000 samples from countdown_3arg/test
✅ Loaded 1000 samples from countdown_4arg/test
✅ Loaded 1000 samples from countdown_5arg/test
✅ Loaded 1000 samples from countdown_6arg/test
✅ Loaded 1221 samples from commonsenseQA/test
✅ Loaded 1319 samples from gsm8k/test
✅ Loaded 1000 samples from longmult_2dig/test
✅ Loaded 1000 samples from longmult_3dig/test
✅ Loaded 1000 samples from longmult_4dig/test
✅ Loaded 1000 samples from longmult_5dig/test
✅ Loaded 144 samples from acronym_5o/test
✅ Loaded 197 samples from acronym_4o/test
✅ Loaded 300 samples from letter_countdown_5o/test
✅ Loaded 300 samples from letter_countdown_4o/test
📊 Total dataset size: 12463 samples
🔧 Unpacking 'all_other_columns' JSON data...
Found extra columns: ['acronym', 'answer_index', 'answer_key', 'choices', 'difficulty', 'domain', 'evaluation_type', 'expected_answer_format', 'formed_acronym', 'id', 'length', 'letters', 'metadata', 'original_answer', 'source', 'task_config', 'task_source', 'task_type', 'variant', 'word_count', 'words']
Added 21 extra columns to dataset
🎯 Building annotation pipeline with types: ['best_of_n_atags']
Adding best_of_n_atags annotation (n=4)
🎯 Executing annotations...
🚀 Executing annotation pipeline with 1 annotators
📊 Dataset size: 12463 examples
🔗 Model URL: hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl<api_base>http://10.32.37.6:8080/v1
⚙️ Global backend params: {'max_requests_per_minute': 50, 'max_tokens_per_minute': 30000000, 'request_timeout': 60000, 'max_retries': 5, 'require_all_responses': False, 'max_inflight_requests_upper_multiplier': 1000000000, 'max_inflight_requests_lower_multiplier': 1}
🔄 Running step 1/1: best_of_n
📝 Response column: model_responses__best_of_n_atags
🎛️ Global Generation params: {}
🎛️ Generation params: {'temperature': 0.7, 'repetition_penalty': 1.1, 'top_p': 0.8, 'top_k': 20, 'n': 1, 'max_tokens': 16384}
🎛️ Global Backend params: {'max_requests_per_minute': 50, 'max_tokens_per_minute': 30000000, 'request_timeout': 60000, 'max_retries': 5, 'require_all_responses': False, 'max_inflight_requests_upper_multiplier': 1000000000, 'max_inflight_requests_lower_multiplier': 1}
🎛️ Annotator params: {'n_samples': 4}
🚀 Final backend params: {'max_requests_per_minute': 50, 'max_tokens_per_minute': 30000000, 'request_timeout': 60000, 'max_retries': 5, 'require_all_responses': False, 'max_inflight_requests_upper_multiplier': 1000000000, 'max_inflight_requests_lower_multiplier': 1}
🔧 Final generation params (merged): {'temperature': 0.7, 'repetition_penalty': 1.1, 'top_p': 0.8, 'top_k': 20, 'n': 1, 'max_tokens': 16384}
🔄 Annotator (best_of_n_atags): 12463 prompts × 4 samples
[ERROR] Stage error: KeyboardInterrupt:
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| FinEval_16k_fulleval_RLOnly | 21.233192 | true |
2025-10-25T19:35:23.554502 | 2025-10-25T19:35:35.730011 | 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-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl
[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: ['best_of_n_atags']
🚀 Starting evaluation pipeline...
Loading from TAUR-dev/D-DATA-canonical_dataset_test_splits-v2-9_22_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']
✅ Loaded 982 samples from countdown_2arg/test
✅ Loaded 1000 samples from countdown_3arg/test
✅ Loaded 1000 samples from countdown_4arg/test
✅ Loaded 1000 samples from countdown_5arg/test
✅ Loaded 1000 samples from countdown_6arg/test
✅ Loaded 1221 samples from commonsenseQA/test
✅ Loaded 1319 samples from gsm8k/test
✅ Loaded 1000 samples from longmult_2dig/test
✅ Loaded 1000 samples from longmult_3dig/test
✅ Loaded 1000 samples from longmult_4dig/test
✅ Loaded 1000 samples from longmult_5dig/test
✅ Loaded 144 samples from acronym_5o/test
✅ Loaded 197 samples from acronym_4o/test
✅ Loaded 300 samples from letter_countdown_5o/test
✅ Loaded 300 samples from letter_countdown_4o/test
📊 Total dataset size: 12463 samples
🔧 Unpacking 'all_other_columns' JSON data...
Found extra columns: ['acronym', 'answer_index', 'answer_key', 'choices', 'difficulty', 'domain', 'evaluation_type', 'expected_answer_format', 'formed_acronym', 'id', 'length', 'letters', 'metadata', 'original_answer', 'source', 'task_config', 'task_source', 'task_type', 'variant', 'word_count', 'words']
Added 21 extra columns to dataset
🎯 Building annotation pipeline with types: ['best_of_n_atags']
Adding best_of_n_atags annotation (n=4)
🎯 Executing annotations...
🚀 Executing annotation pipeline with 1 annotators
📊 Dataset size: 12463 examples
🔗 Model URL: hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl<api_base>http://10.32.37.6:8080/v1
⚙️ Global backend params: {'max_requests_per_minute': 50, 'max_tokens_per_minute': 30000000, 'request_timeout': 60000, 'max_retries': 5, 'require_all_responses': False, 'max_inflight_requests_upper_multiplier': 1000000000, 'max_inflight_requests_lower_multiplier': 1}
🔄 Running step 1/1: best_of_n
📝 Response column: model_responses__best_of_n_atags
🎛️ Global Generation params: {}
🎛️ Generation params: {'temperature': 0.7, 'repetition_penalty': 1.1, 'top_p': 0.8, 'top_k': 20, 'n': 1, 'max_tokens': 16384}
🎛️ Global Backend params: {'max_requests_per_minute': 50, 'max_tokens_per_minute': 30000000, 'request_timeout': 60000, 'max_retries': 5, 'require_all_responses': False, 'max_inflight_requests_upper_multiplier': 1000000000, 'max_inflight_requests_lower_multiplier': 1}
🎛️ Annotator params: {'n_samples': 4}
🚀 Final backend params: {'max_requests_per_minute': 50, 'max_tokens_per_minute': 30000000, 'request_timeout': 60000, 'max_retries': 5, 'require_all_responses': False, 'max_inflight_requests_upper_multiplier': 1000000000, 'max_inflight_requests_lower_multiplier': 1}
🔧 Final generation params (merged): {'temperature': 0.7, 'repetition_penalty': 1.1, 'top_p': 0.8, 'top_k': 20, 'n': 1, 'max_tokens': 16384}
🔄 Annotator (best_of_n_atags): 12463 prompts × 4 samples
❌ Failed: litellm.InternalServerError: InternalServerError: Hosted_vllmException - Connection error.
❌ Evaluation failed: litellm.InternalServerError: InternalServerError: Hosted_vllmException - Connection error.
[ERROR] Stage error: InternalServerError: litellm.InternalServerError: InternalServerError: Hosted_vllmException - Connection error.
| [2;36m[10/25/25 19:35:34][0m[2;36m [0m[34mINFO [0m Getting rate limits for model: ]8;id=714174;file:///scratch/zrs2020/skill-factory/thirdparty/curator/src/bespokelabs/curator/request_processor/online/litellm_online_request_processor.py\[2mlitellm_online_request_processor.py[0m]8;;\[2m:[0m]8;id=609952;file:///scratch/zrs2020/skill-factory/thirdparty/curator/src/bespokelabs/curator/request_processor/online/litellm_online_request_processor.py#219\[2m219[0m]8;;\
[2;36m [0m hosted_vllm/TAUR-dev/M-0903_rl_reflect__0epoch_3args__grpo_minibs32_lr1e-6_rollout16-rl [2m [0m
| FinEval_16k_fulleval_RLOnly | 12.175509 | true |
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