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{ |
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"results": { |
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"arc_challenge": { |
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"acc,none": 0.2363481228668942, |
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"acc_stderr,none": 0.012414960524301842, |
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"acc_norm,none": 0.2696245733788396, |
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"acc_norm_stderr,none": 0.01296804068686915 |
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"acc,none": 0.5505050505050505, |
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"acc_stderr,none": 0.010207308833916047, |
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"acc_norm,none": 0.5290404040404041, |
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"acc_norm_stderr,none": 0.01024246382639562 |
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}, |
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"boolq": { |
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"acc,none": 0.5015290519877675, |
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"acc_stderr,none": 0.008745014084425922 |
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}, |
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"hellaswag": { |
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"acc,none": 0.33808006373232424, |
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"acc_stderr,none": 0.004720891597174752, |
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"acc_norm,none": 0.40111531567416847, |
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"acc_norm_stderr,none": 0.004891226138578059 |
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}, |
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"lambada_openai": { |
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"perplexity,none": 14.092313022096198, |
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"perplexity_stderr,none": 0.4548197909283815, |
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"acc,none": 0.44343101106151755, |
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"acc_stderr,none": 0.006921251108304399 |
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}, |
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"openbookqa": { |
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"acc,none": 0.178, |
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"acc_stderr,none": 0.017123622189062257, |
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"acc_norm,none": 0.288, |
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"acc_norm_stderr,none": 0.020271503835075217 |
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}, |
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"piqa": { |
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"acc,none": 0.6860718171926007, |
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"acc_stderr,none": 0.010827928134189646, |
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"acc_norm,none": 0.6844396082698585, |
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"acc_norm_stderr,none": 0.010843119201758934 |
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}, |
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"sciq": { |
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"acc,none": 0.886, |
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"acc_stderr,none": 0.01005510343582333, |
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"acc_norm,none": 0.879, |
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"acc_norm_stderr,none": 0.010318210380946094 |
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}, |
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"wikitext": { |
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"word_perplexity,none": 35.96785758155289, |
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"byte_perplexity,none": 1.8050958522509775, |
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"bits_per_byte,none": 0.8520754475808856 |
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}, |
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"winogrande": { |
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"acc,none": 0.5327545382794001, |
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"acc_stderr,none": 0.014022300570434137 |
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} |
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}, |
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"configs": { |
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"arc_challenge": { |
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"task": "arc_challenge", |
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"group": [ |
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"ai2_arc", |
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"multiple_choice" |
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], |
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"dataset_path": "ai2_arc", |
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"dataset_name": "ARC-Challenge", |
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"training_split": "train", |
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"validation_split": "validation", |
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"test_split": "test", |
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"doc_to_text": "Question: {{question}}\nAnswer:", |
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"doc_to_target": "{{choices.label.index(answerKey)}}", |
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"doc_to_choice": "{{choices.text}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
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"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:" |
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}, |
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"arc_easy": { |
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"task": "arc_easy", |
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"group": [ |
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"ai2_arc", |
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"multiple_choice" |
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], |
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"dataset_path": "ai2_arc", |
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"dataset_name": "ARC-Easy", |
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"training_split": "train", |
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"validation_split": "validation", |
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"test_split": "test", |
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"doc_to_text": "Question: {{question}}\nAnswer:", |
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"doc_to_target": "{{choices.label.index(answerKey)}}", |
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"doc_to_choice": "{{choices.text}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
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"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:" |
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}, |
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"boolq": { |
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"task": "boolq", |
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"group": [ |
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"super-glue-lm-eval-v1" |
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], |
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"dataset_path": "super_glue", |
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"dataset_name": "boolq", |
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"training_split": "train", |
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"validation_split": "validation", |
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"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:", |
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"doc_to_target": "label", |
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"doc_to_choice": [ |
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"no", |
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"yes" |
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], |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "acc" |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "passage" |
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}, |
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"hellaswag": { |
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"task": "hellaswag", |
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"group": [ |
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"multiple_choice" |
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], |
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"dataset_path": "hellaswag", |
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"training_split": "train", |
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"validation_split": "validation", |
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"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}", |
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"doc_to_target": "{{label}}", |
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"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
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"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": false |
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}, |
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"lambada_openai": { |
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"task": "lambada_openai", |
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"group": [ |
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"lambada", |
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"loglikelihood", |
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"perplexity" |
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], |
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"dataset_path": "EleutherAI/lambada_openai", |
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"dataset_name": "default", |
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"test_split": "test", |
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"template_aliases": "", |
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}", |
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"doc_to_target": "{{' '+text.split(' ')[-1]}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "perplexity", |
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"aggregation": "perplexity", |
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"higher_is_better": false |
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}, |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "loglikelihood", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "{{text}}" |
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}, |
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"openbookqa": { |
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"task": "openbookqa", |
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"group": [ |
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"multiple_choice" |
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], |
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"dataset_path": "openbookqa", |
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"dataset_name": "main", |
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"training_split": "train", |
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"validation_split": "validation", |
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"test_split": "test", |
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"doc_to_text": "question_stem", |
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"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}", |
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"doc_to_choice": "{{choices.text}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
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"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "question_stem" |
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}, |
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"piqa": { |
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"task": "piqa", |
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"group": [ |
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"multiple_choice" |
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], |
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"dataset_path": "piqa", |
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"training_split": "train", |
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"validation_split": "validation", |
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"doc_to_text": "Question: {{goal}}\nAnswer:", |
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"doc_to_target": "label", |
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"doc_to_choice": "{{[sol1, sol2]}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
|
"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
|
"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "goal" |
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}, |
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"sciq": { |
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"task": "sciq", |
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"group": [ |
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"multiple_choice" |
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], |
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"dataset_path": "sciq", |
|
"training_split": "train", |
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"validation_split": "validation", |
|
"test_split": "test", |
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"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:", |
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"doc_to_target": 3, |
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"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
|
"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "{{support}} {{question}}" |
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}, |
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"wikitext": { |
|
"task": "wikitext", |
|
"group": [ |
|
"perplexity", |
|
"loglikelihood_rolling" |
|
], |
|
"dataset_path": "EleutherAI/wikitext_document_level", |
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"dataset_name": "wikitext-2-raw-v1", |
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"training_split": "train", |
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"validation_split": "validation", |
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"test_split": "test", |
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"template_aliases": "", |
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"doc_to_text": "", |
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"doc_to_target": "<function wikitext_detokenizer at 0x7f9fa4a64040>", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
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"metric": "word_perplexity" |
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}, |
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{ |
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"metric": "byte_perplexity" |
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}, |
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{ |
|
"metric": "bits_per_byte" |
|
} |
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], |
|
"output_type": "loglikelihood_rolling", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "{{page}}" |
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}, |
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"winogrande": { |
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"task": "winogrande", |
|
"dataset_path": "winogrande", |
|
"dataset_name": "winogrande_xl", |
|
"training_split": "train", |
|
"validation_split": "validation", |
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"doc_to_text": "<function doc_to_text at 0x7f9fa4a36ef0>", |
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"doc_to_target": "<function doc_to_target at 0x7f9fa4a37370>", |
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"doc_to_choice": "<function doc_to_choice at 0x7f9fa4a375b0>", |
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"description": "", |
|
"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 5, |
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"metric_list": [ |
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{ |
|
"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": false |
|
} |
|
}, |
|
"versions": { |
|
"arc_challenge": "Yaml", |
|
"arc_easy": "Yaml", |
|
"boolq": "Yaml", |
|
"hellaswag": "Yaml", |
|
"lambada_openai": "Yaml", |
|
"openbookqa": "Yaml", |
|
"piqa": "Yaml", |
|
"sciq": "Yaml", |
|
"wikitext": "Yaml", |
|
"winogrande": "Yaml" |
|
}, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=lomahony/eleuther-pythia410m-hh-sft", |
|
"num_fewshot": 5, |
|
"batch_size": 16, |
|
"batch_sizes": [], |
|
"device": "cuda:0", |
|
"use_cache": null, |
|
"limit": null, |
|
"bootstrap_iters": 100000 |
|
}, |
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"git_hash": "4e44f0a" |
|
} |