|
{ |
|
"config_general": { |
|
"model_name": "tiiuae/falcon-40b", |
|
"model_sha": "3d7c5902f1dc9da830979a826cd96114b3ba4ec1", |
|
"model_size": "76.93 GB", |
|
"model_dtype": "torch.float16", |
|
"lighteval_sha": "457ac5672c5fdebfd6bc95bb94bda825c148eccf", |
|
"num_few_shot_default": 0, |
|
"num_fewshot_seeds": 1, |
|
"override_batch_size": 1, |
|
"max_samples": null, |
|
"job_id": "" |
|
}, |
|
"results": { |
|
"harness|drop|3": { |
|
"em": 0.0045092281879194635, |
|
"em_stderr": 0.000686134689909491, |
|
"f1": 0.0640572567114092, |
|
"f1_stderr": 0.0014469716881546906 |
|
}, |
|
"harness|gsm8k|5": { |
|
"acc": 0.12661106899166036, |
|
"acc_stderr": 0.009159715283081087 |
|
}, |
|
"harness|winogrande|5": { |
|
"acc": 0.8153117600631413, |
|
"acc_stderr": 0.010905978112156885 |
|
}, |
|
"all": { |
|
"em": 0.0045092281879194635, |
|
"em_stderr": 0.000686134689909491, |
|
"f1": 0.0640572567114092, |
|
"f1_stderr": 0.0014469716881546906, |
|
"acc": 0.4709614145274008, |
|
"acc_stderr": 0.010032846697618985 |
|
} |
|
}, |
|
"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": "e06149b2d9649725", |
|
"hash_cont_tokens": "00facdb5b4923c86" |
|
}, |
|
"truncated": 548, |
|
"non-truncated": 8988, |
|
"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": "c0a015e50149563f", |
|
"hash_cont_tokens": "1e1d27c23093a8b0" |
|
}, |
|
"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": "ae96e05469fadbc5", |
|
"hash_cont_tokens": "73d6868f2baefdec" |
|
}, |
|
"truncated": 0, |
|
"non-truncated": 2534, |
|
"padded": 2492, |
|
"non-padded": 42, |
|
"effective_few_shots": 5.0, |
|
"num_truncated_few_shots": 0 |
|
} |
|
}, |
|
"summary_general": { |
|
"hashes": { |
|
"hash_examples": "9b4d8993161e637d", |
|
"hash_full_prompts": "08215e527b7e60a5", |
|
"hash_input_tokens": "eebef6d2cb701fd6", |
|
"hash_cont_tokens": "736a6686d080cee7" |
|
}, |
|
"total_evaluation_time_secondes": "21386.524379253387", |
|
"truncated": 548, |
|
"non-truncated": 12841, |
|
"padded": 2492, |
|
"non-padded": 10897, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |