|
{ |
|
"config_general": { |
|
"model_name": "WizardLM/WizardMath-13B-V1.0", |
|
"model_sha": "7ef412d2c680ef0fbdcd88d0df31b396d8d3049c", |
|
"model_size": "24.32 GB", |
|
"model_dtype": "torch.float16", |
|
"lighteval_sha": "0f318ecf002208468154899217b3ba7c6ae09374", |
|
"num_few_shot_default": 0, |
|
"num_fewshot_seeds": 1, |
|
"override_batch_size": 1, |
|
"max_samples": null, |
|
"job_id": "" |
|
}, |
|
"results": { |
|
"harness|drop|3": { |
|
"em": 0.0024119127516778523, |
|
"em_stderr": 0.0005023380498893313, |
|
"f1": 0.07075817953020154, |
|
"f1_stderr": 0.0015254513833319102 |
|
}, |
|
"harness|gsm8k|5": { |
|
"acc": 0.12357846853677028, |
|
"acc_stderr": 0.009065050306776925 |
|
}, |
|
"harness|winogrande|5": { |
|
"acc": 0.7190213101815311, |
|
"acc_stderr": 0.012632541095875825 |
|
}, |
|
"all": { |
|
"em": 0.0024119127516778523, |
|
"em_stderr": 0.0005023380498893313, |
|
"f1": 0.07075817953020154, |
|
"f1_stderr": 0.0015254513833319102, |
|
"acc": 0.4212998893591507, |
|
"acc_stderr": 0.010848795701326375 |
|
} |
|
}, |
|
"versions": { |
|
"harness|drop|3": 1, |
|
"harness|gsm8k|5": 0, |
|
"harness|winogrande|5": 0, |
|
"all": 0 |
|
}, |
|
"config_tasks": { |
|
"harness|drop": "LM Harness task", |
|
"harness|gsm8k": "LM Harness task", |
|
"harness|winogrande": "LM Harness task" |
|
}, |
|
"summary_tasks": { |
|
"harness|drop|3": { |
|
"hashes": { |
|
"hash_examples": "1d27416e8324e9a3", |
|
"hash_full_prompts": "a5513ff9a741b385", |
|
"hash_input_tokens": "9fa56150191dc1b6", |
|
"hash_cont_tokens": "8d23fdf004cecf96" |
|
}, |
|
"truncated": 3, |
|
"non-truncated": 9533, |
|
"padded": 0, |
|
"non-padded": 9536, |
|
"effective_few_shots": 3.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"harness|gsm8k|5": { |
|
"hashes": { |
|
"hash_examples": "4c0843a5d99bcfdc", |
|
"hash_full_prompts": "41d55e83abc0e02d", |
|
"hash_input_tokens": "6f81fd8346219949", |
|
"hash_cont_tokens": "5c38b6f21fe449b8" |
|
}, |
|
"truncated": 0, |
|
"non-truncated": 1319, |
|
"padded": 0, |
|
"non-padded": 1319, |
|
"effective_few_shots": 5.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"harness|winogrande|5": { |
|
"hashes": { |
|
"hash_examples": "aada0a176fd81218", |
|
"hash_full_prompts": "c8655cbd12de8409", |
|
"hash_input_tokens": "b84988137a00c1f4", |
|
"hash_cont_tokens": "f08975ad6f2d5864" |
|
}, |
|
"truncated": 0, |
|
"non-truncated": 2534, |
|
"padded": 2432, |
|
"non-padded": 102, |
|
"effective_few_shots": 5.0, |
|
"num_truncated_few_shots": 0 |
|
} |
|
}, |
|
"summary_general": { |
|
"hashes": { |
|
"hash_examples": "9b4d8993161e637d", |
|
"hash_full_prompts": "08215e527b7e60a5", |
|
"hash_input_tokens": "89256bd972feff6f", |
|
"hash_cont_tokens": "25fbe80b562a75a3" |
|
}, |
|
"total_evaluation_time_secondes": "13992.335643291473", |
|
"truncated": 3, |
|
"non-truncated": 13386, |
|
"padded": 2432, |
|
"non-padded": 10957, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |