|
{ |
|
"results": { |
|
"lambada_multilingual": { |
|
"perplexity,none": 159.92860998449697, |
|
"perplexity_stderr,none": 126.21127109702662, |
|
"acc,none": 0.3825344459538133, |
|
"acc_stderr,none": 0.07782847016255834, |
|
"alias": "lambada_multilingual" |
|
}, |
|
"lambada_openai_mt_de": { |
|
"perplexity,none": 488.05880178905716, |
|
"perplexity_stderr,none": 34.474740143266686, |
|
"acc,none": 0.22181253638657092, |
|
"acc_stderr,none": 0.005788249352644483, |
|
"alias": " - lambada_openai_mt_de" |
|
}, |
|
"lambada_openai_mt_en": { |
|
"perplexity,none": 6.623817622283293, |
|
"perplexity_stderr,none": 0.18990514119566282, |
|
"acc,none": 0.5594799146128469, |
|
"acc_stderr,none": 0.006916512722816758, |
|
"alias": " - lambada_openai_mt_en" |
|
}, |
|
"lambada_openai_mt_es": { |
|
"perplexity,none": 42.10936123532726, |
|
"perplexity_stderr,none": 2.2480636493439574, |
|
"acc,none": 0.40481273044828253, |
|
"acc_stderr,none": 0.006838580607651544, |
|
"alias": " - lambada_openai_mt_es" |
|
}, |
|
"lambada_openai_mt_fr": { |
|
"perplexity,none": 31.641857449105515, |
|
"perplexity_stderr,none": 1.7198163372686233, |
|
"acc,none": 0.4364447894430429, |
|
"acc_stderr,none": 0.006909473636524467, |
|
"alias": " - lambada_openai_mt_fr" |
|
}, |
|
"lambada_openai_mt_it": { |
|
"perplexity,none": 231.2092118267118, |
|
"perplexity_stderr,none": 16.243658384394983, |
|
"acc,none": 0.2901222588783233, |
|
"acc_stderr,none": 0.006322580641394924, |
|
"alias": " - lambada_openai_mt_it" |
|
} |
|
}, |
|
"groups": { |
|
"lambada_multilingual": { |
|
"perplexity,none": 159.92860998449697, |
|
"perplexity_stderr,none": 126.21127109702662, |
|
"acc,none": 0.3825344459538133, |
|
"acc_stderr,none": 0.07782847016255834, |
|
"alias": "lambada_multilingual" |
|
} |
|
}, |
|
"configs": { |
|
"lambada_openai_mt_de": { |
|
"task": "lambada_openai_mt_de", |
|
"group": [ |
|
"lambada_multilingual" |
|
], |
|
"dataset_path": "EleutherAI/lambada_openai", |
|
"dataset_name": "de", |
|
"test_split": "test", |
|
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
|
"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"metric_list": [ |
|
{ |
|
"metric": "perplexity", |
|
"aggregation": "perplexity", |
|
"higher_is_better": false |
|
}, |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "loglikelihood", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{text}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"lambada_openai_mt_en": { |
|
"task": "lambada_openai_mt_en", |
|
"group": [ |
|
"lambada_multilingual" |
|
], |
|
"dataset_path": "EleutherAI/lambada_openai", |
|
"dataset_name": "en", |
|
"test_split": "test", |
|
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
|
"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"metric_list": [ |
|
{ |
|
"metric": "perplexity", |
|
"aggregation": "perplexity", |
|
"higher_is_better": false |
|
}, |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "loglikelihood", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{text}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"lambada_openai_mt_es": { |
|
"task": "lambada_openai_mt_es", |
|
"group": [ |
|
"lambada_multilingual" |
|
], |
|
"dataset_path": "EleutherAI/lambada_openai", |
|
"dataset_name": "es", |
|
"test_split": "test", |
|
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
|
"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"metric_list": [ |
|
{ |
|
"metric": "perplexity", |
|
"aggregation": "perplexity", |
|
"higher_is_better": false |
|
}, |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "loglikelihood", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{text}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"lambada_openai_mt_fr": { |
|
"task": "lambada_openai_mt_fr", |
|
"group": [ |
|
"lambada_multilingual" |
|
], |
|
"dataset_path": "EleutherAI/lambada_openai", |
|
"dataset_name": "fr", |
|
"test_split": "test", |
|
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
|
"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"metric_list": [ |
|
{ |
|
"metric": "perplexity", |
|
"aggregation": "perplexity", |
|
"higher_is_better": false |
|
}, |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "loglikelihood", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{text}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"lambada_openai_mt_it": { |
|
"task": "lambada_openai_mt_it", |
|
"group": [ |
|
"lambada_multilingual" |
|
], |
|
"dataset_path": "EleutherAI/lambada_openai", |
|
"dataset_name": "it", |
|
"test_split": "test", |
|
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
|
"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"metric_list": [ |
|
{ |
|
"metric": "perplexity", |
|
"aggregation": "perplexity", |
|
"higher_is_better": false |
|
}, |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "loglikelihood", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{text}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
} |
|
}, |
|
"versions": { |
|
"lambada_multilingual": "N/A", |
|
"lambada_openai_mt_de": 1.0, |
|
"lambada_openai_mt_en": 1.0, |
|
"lambada_openai_mt_es": 1.0, |
|
"lambada_openai_mt_fr": 1.0, |
|
"lambada_openai_mt_it": 1.0 |
|
}, |
|
"n-shot": { |
|
"lambada_multilingual": 0, |
|
"lambada_openai_mt_de": 0, |
|
"lambada_openai_mt_en": 0, |
|
"lambada_openai_mt_es": 0, |
|
"lambada_openai_mt_fr": 0, |
|
"lambada_openai_mt_it": 0 |
|
}, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=bigscience/bloomz-7b1-mt,dtype=bfloat16,trust_remote_code=True", |
|
"batch_size": "auto", |
|
"batch_sizes": [ |
|
16 |
|
], |
|
"device": null, |
|
"use_cache": null, |
|
"limit": null, |
|
"bootstrap_iters": 100000, |
|
"gen_kwargs": null |
|
}, |
|
"git_hash": "62513ca" |
|
} |