|
{ |
|
"results": { |
|
"arc_easy": { |
|
"acc,none": 0.3265993265993266, |
|
"acc_stderr,none": 0.009623047038267645, |
|
"acc_norm,none": 0.3274410774410774, |
|
"acc_norm_stderr,none": 0.009629415859100605, |
|
"alias": "arc_easy" |
|
}, |
|
"lambada_openai": { |
|
"perplexity,none": 861.0431215826027, |
|
"perplexity_stderr,none": 49.374856514133086, |
|
"acc,none": 0.15990685037842034, |
|
"acc_stderr,none": 0.0051063353047618885, |
|
"alias": "lambada_openai" |
|
}, |
|
"piqa": { |
|
"acc,none": 0.5505984766050055, |
|
"acc_stderr,none": 0.01160593662415608, |
|
"acc_norm,none": 0.5391730141458106, |
|
"acc_norm_stderr,none": 0.011629966056957108, |
|
"alias": "piqa" |
|
}, |
|
"sciq": { |
|
"acc,none": 0.514, |
|
"acc_stderr,none": 0.015813097547730984, |
|
"acc_norm,none": 0.511, |
|
"acc_norm_stderr,none": 0.01581547119529269, |
|
"alias": "sciq" |
|
}, |
|
"wikitext": { |
|
"word_perplexity,none": 14608.989515390149, |
|
"word_perplexity_stderr,none": "N/A", |
|
"byte_perplexity,none": 6.00903579422426, |
|
"byte_perplexity_stderr,none": "N/A", |
|
"bits_per_byte,none": 2.5871335156471185, |
|
"bits_per_byte_stderr,none": "N/A", |
|
"alias": "wikitext" |
|
}, |
|
"winogrande": { |
|
"acc,none": 0.5027624309392266, |
|
"acc_stderr,none": 0.014052271211616436, |
|
"alias": "winogrande" |
|
} |
|
}, |
|
"configs": { |
|
"arc_easy": { |
|
"task": "arc_easy", |
|
"group": [ |
|
"ai2_arc" |
|
], |
|
"dataset_path": "ai2_arc", |
|
"dataset_name": "ARC-Easy", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"test_split": "test", |
|
"doc_to_text": "Question: {{question}}\nAnswer:", |
|
"doc_to_target": "{{choices.label.index(answerKey)}}", |
|
"doc_to_choice": "{{choices.text}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
}, |
|
{ |
|
"metric": "acc_norm", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"lambada_openai": { |
|
"task": "lambada_openai", |
|
"group": [ |
|
"lambada" |
|
], |
|
"dataset_path": "EleutherAI/lambada_openai", |
|
"dataset_name": "default", |
|
"test_split": "test", |
|
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
|
"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"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 |
|
} |
|
}, |
|
"piqa": { |
|
"task": "piqa", |
|
"dataset_path": "piqa", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"doc_to_text": "Question: {{goal}}\nAnswer:", |
|
"doc_to_target": "label", |
|
"doc_to_choice": "{{[sol1, sol2]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
}, |
|
{ |
|
"metric": "acc_norm", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "goal", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"sciq": { |
|
"task": "sciq", |
|
"dataset_path": "sciq", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"test_split": "test", |
|
"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:", |
|
"doc_to_target": 3, |
|
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
}, |
|
{ |
|
"metric": "acc_norm", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{support}} {{question}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"wikitext": { |
|
"task": "wikitext", |
|
"dataset_path": "EleutherAI/wikitext_document_level", |
|
"dataset_name": "wikitext-2-raw-v1", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"test_split": "test", |
|
"doc_to_text": "", |
|
"doc_to_target": "<function wikitext_detokenizer at 0x7fb2a52737f0>", |
|
"process_results": "<function process_results at 0x7fb2a4fb7910>", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "word_perplexity" |
|
}, |
|
{ |
|
"metric": "byte_perplexity" |
|
}, |
|
{ |
|
"metric": "bits_per_byte" |
|
} |
|
], |
|
"output_type": "loglikelihood_rolling", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{page}}", |
|
"metadata": { |
|
"version": 2.0 |
|
} |
|
}, |
|
"winogrande": { |
|
"task": "winogrande", |
|
"dataset_path": "winogrande", |
|
"dataset_name": "winogrande_xl", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"doc_to_text": "<function doc_to_text at 0x7fb2a4fd3370>", |
|
"doc_to_target": "<function doc_to_target at 0x7fb2a4df1480>", |
|
"doc_to_choice": "<function doc_to_choice at 0x7fb2a4df16c0>", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "sentence", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
} |
|
}, |
|
"versions": { |
|
"arc_easy": 1.0, |
|
"lambada_openai": 1.0, |
|
"piqa": 1.0, |
|
"sciq": 1.0, |
|
"wikitext": 2.0, |
|
"winogrande": 1.0 |
|
}, |
|
"n-shot": { |
|
"arc_easy": 0, |
|
"lambada_openai": 0, |
|
"piqa": 0, |
|
"sciq": 0, |
|
"wikitext": 0, |
|
"winogrande": 0 |
|
}, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=/netscratch/mostendorff/experiments/pythia-data-ablations/data/continued-pythia-410m/es_hard/hf_checkpoints/global_step9537,dtype=float16", |
|
"batch_size": "auto", |
|
"batch_sizes": [ |
|
64 |
|
], |
|
"device": "cuda:0", |
|
"use_cache": null, |
|
"limit": null, |
|
"bootstrap_iters": 100000, |
|
"gen_kwargs": null |
|
}, |
|
"git_hash": null |
|
} |