2025-08-25 16:55:53 - eval_util - INFO - Using AWQ quantization.
2025-08-25 16:55:54 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
2025-08-25 16:59:11 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
2025-08-25 16:59:12 - eval_util - INFO - Evaluating wikitext...
2025-08-25 17:00:17 - eval_util - INFO - Wikitext completed: 5.60001802444458
2025-08-25 17:00:17 - eval_util - INFO - Starting evaluation of task: boolq
2025-08-25 17:00:17 - eval_util - INFO - GPU Memory before boolq: 3.81GB
2025-08-25 17:00:17 - lm_eval.models.huggingface - WARNING - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
2025-08-25 17:00:17 - lm_eval.models.huggingface - WARNING - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
2025-08-25 17:00:17 - lm_eval.evaluator - INFO - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-08-25 17:00:17 - lm_eval.evaluator - INFO - Using pre-initialized model
2025-08-25 17:00:32 - lm_eval.api.task - WARNING - [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean
2025-08-25 17:00:32 - lm_eval.api.task - WARNING - [Task: boolq] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
2025-08-25 17:00:36 - lm_eval.api.task - INFO - Building contexts for boolq on rank 0...
2025-08-25 17:00:38 - lm_eval.evaluator - INFO - Running loglikelihood requests
2025-08-25 17:03:56 - eval_util - INFO - ✅ Task boolq completed successfully
2025-08-25 17:03:56 - eval_util - INFO - GPU Memory after boolq: 3.81GB
2025-08-25 17:03:56 - eval_util - INFO - Starting evaluation of task: hellaswag
2025-08-25 17:03:56 - eval_util - INFO - GPU Memory before hellaswag: 3.81GB
2025-08-25 17:03:56 - lm_eval.models.huggingface - WARNING - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
2025-08-25 17:03:56 - lm_eval.models.huggingface - WARNING - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
2025-08-25 17:03:56 - lm_eval.evaluator - INFO - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-08-25 17:03:56 - lm_eval.evaluator - INFO - Using pre-initialized model
2025-08-25 17:04:22 - lm_eval.api.task - INFO - Building contexts for hellaswag on rank 0...
2025-08-25 17:04:26 - lm_eval.evaluator - INFO - Running loglikelihood requests
2025-08-25 17:35:08 - eval_util - INFO - ✅ Task hellaswag completed successfully
2025-08-25 17:35:08 - eval_util - INFO - GPU Memory after hellaswag: 3.81GB
2025-08-25 17:35:08 - eval_util - INFO - Starting evaluation of task: winogrande
2025-08-25 17:35:08 - eval_util - INFO - GPU Memory before winogrande: 3.81GB
2025-08-25 17:35:08 - lm_eval.models.huggingface - WARNING - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
2025-08-25 17:35:08 - lm_eval.models.huggingface - WARNING - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
2025-08-25 17:35:08 - lm_eval.evaluator - INFO - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-08-25 17:35:08 - lm_eval.evaluator - INFO - Using pre-initialized model
2025-08-25 17:35:25 - lm_eval.api.task - INFO - Building contexts for winogrande on rank 0...
2025-08-25 17:35:25 - lm_eval.evaluator - INFO - Running loglikelihood requests
2025-08-25 17:37:03 - eval_util - INFO - ✅ Task winogrande completed successfully
2025-08-25 17:37:03 - eval_util - INFO - GPU Memory after winogrande: 3.81GB
2025-08-25 17:37:03 - eval_util - INFO - Starting evaluation of task: arc_easy
2025-08-25 17:37:03 - eval_util - INFO - GPU Memory before arc_easy: 3.81GB
2025-08-25 17:37:03 - lm_eval.models.huggingface - WARNING - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
2025-08-25 17:37:03 - lm_eval.models.huggingface - WARNING - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
2025-08-25 17:37:03 - lm_eval.evaluator - INFO - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-08-25 17:37:03 - lm_eval.evaluator - INFO - Using pre-initialized model
2025-08-25 17:37:17 - lm_eval.api.task - INFO - Building contexts for arc_easy on rank 0...
2025-08-25 17:37:19 - lm_eval.evaluator - INFO - Running loglikelihood requests
2025-08-25 17:43:09 - eval_util - INFO - ✅ Task arc_easy completed successfully
2025-08-25 17:43:09 - eval_util - INFO - GPU Memory after arc_easy: 3.81GB
2025-08-25 17:43:09 - eval_util - INFO - Starting evaluation of task: arc_challenge
2025-08-25 17:43:09 - eval_util - INFO - GPU Memory before arc_challenge: 3.81GB
2025-08-25 17:43:09 - lm_eval.models.huggingface - WARNING - `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
2025-08-25 17:43:09 - lm_eval.models.huggingface - WARNING - Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
2025-08-25 17:43:09 - lm_eval.evaluator - INFO - Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-08-25 17:43:09 - lm_eval.evaluator - INFO - Using pre-initialized model
2025-08-25 17:43:22 - lm_eval.api.task - INFO - Building contexts for arc_challenge on rank 0...
2025-08-25 17:43:23 - lm_eval.evaluator - INFO - Running loglikelihood requests
2025-08-25 17:46:26 - eval_util - INFO - ✅ Task arc_challenge completed successfully
2025-08-25 17:46:26 - eval_util - INFO - GPU Memory after arc_challenge: 3.81GB
2025-08-25 17:46:26 - eval_util - INFO - Evaluation Summary - Successful: 6, Failed: 0
2025-08-25 17:46:26 - eval_util - INFO - result:
2025-08-25 17:46:26 - eval_util - INFO - 	{'arc_challenge': {'acc,none': 0.42662116040955633,
2025-08-25 17:46:26 - eval_util - INFO - 	                   'acc_norm,none': 0.4445392491467577,
2025-08-25 17:46:26 - eval_util - INFO - 	                   'acc_norm_stderr,none': 0.014521226405627082,
2025-08-25 17:46:26 - eval_util - INFO - 	                   'acc_stderr,none': 0.014453185592920293,
2025-08-25 17:46:26 - eval_util - INFO - 	                   'alias': 'arc_challenge'},
2025-08-25 17:46:26 - eval_util - INFO - 	 'arc_easy': {'acc,none': 0.7571548821548821,
2025-08-25 17:46:26 - eval_util - INFO - 	              'acc_norm,none': 0.7369528619528619,
2025-08-25 17:46:26 - eval_util - INFO - 	              'acc_norm_stderr,none': 0.009034514898865822,
2025-08-25 17:46:26 - eval_util - INFO - 	              'acc_stderr,none': 0.008798836444222033,
2025-08-25 17:46:26 - eval_util - INFO - 	              'alias': 'arc_easy'},
2025-08-25 17:46:26 - eval_util - INFO - 	 'boolq': {'acc,none': 0.7831804281345566,
2025-08-25 17:46:26 - eval_util - INFO - 	           'acc_stderr,none': 0.007207301562700178,
2025-08-25 17:46:26 - eval_util - INFO - 	           'alias': 'boolq'},
2025-08-25 17:46:26 - eval_util - INFO - 	 'hellaswag': {'acc,none': 0.563931487751444,
2025-08-25 17:46:26 - eval_util - INFO - 	               'acc_norm,none': 0.7533359888468433,
2025-08-25 17:46:26 - eval_util - INFO - 	               'acc_norm_stderr,none': 0.004301884727122731,
2025-08-25 17:46:26 - eval_util - INFO - 	               'acc_stderr,none': 0.004948824501355516,
2025-08-25 17:46:26 - eval_util - INFO - 	               'alias': 'hellaswag'},
2025-08-25 17:46:26 - eval_util - INFO - 	 'wikitext': 5.60001802444458,
2025-08-25 17:46:26 - eval_util - INFO - 	 'winogrande': {'acc,none': 0.6835043409629045,
2025-08-25 17:46:26 - eval_util - INFO - 	                'acc_stderr,none': 0.013071868328051486,
2025-08-25 17:46:26 - eval_util - INFO - 	                'alias': 'winogrande'}}
