|
{ |
|
"config_general": { |
|
"model_name": "dvruette/llama-13b-pretrained", |
|
"model_sha": "c28cc0cf5a1a1bf4de96b23d06b02129dca85eb9", |
|
"model_size": "24.28 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": 0.19431627516778524, |
|
"em_stderr": 0.004052066229872751, |
|
"f1": 0.25224412751677777, |
|
"f1_stderr": 0.004066214952392991 |
|
}, |
|
"harness|gsm8k|5": { |
|
"acc": 0.1607278241091736, |
|
"acc_stderr": 0.010116708586037183 |
|
}, |
|
"harness|winogrande|5": { |
|
"acc": 0.7695343330702447, |
|
"acc_stderr": 0.011835872164836676 |
|
}, |
|
"all": { |
|
"em": 0.19431627516778524, |
|
"em_stderr": 0.004052066229872751, |
|
"f1": 0.25224412751677777, |
|
"f1_stderr": 0.004066214952392991, |
|
"acc": 0.46513107858970915, |
|
"acc_stderr": 0.01097629037543693 |
|
} |
|
}, |
|
"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": "f70227603c1b1bfe", |
|
"hash_cont_tokens": "dd0196fc7d15583b" |
|
}, |
|
"truncated": 1263, |
|
"non-truncated": 8273, |
|
"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": "e3d5b3003c52b880", |
|
"hash_cont_tokens": "a9b384b43ecba70a" |
|
}, |
|
"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": "5be2b0947cee07a9", |
|
"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": "ce9af2df9f2847fa", |
|
"hash_cont_tokens": "55a05e6e9281b0a6" |
|
}, |
|
"total_evaluation_time_secondes": "11075.201759815216", |
|
"truncated": 1263, |
|
"non-truncated": 12126, |
|
"padded": 2432, |
|
"non-padded": 10957, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |