| { | |
| "results": { | |
| "arc_challenge": { | |
| "acc,none": 0.371160409556314, | |
| "acc_stderr,none": 0.014117971901142818, | |
| "acc_norm,none": 0.40102389078498296, | |
| "acc_norm_stderr,none": 0.014322255790719867 | |
| }, | |
| "arc_easy": { | |
| "acc,none": 0.7188552188552189, | |
| "acc_stderr,none": 0.009224735470286998, | |
| "acc_norm,none": 0.7285353535353535, | |
| "acc_norm_stderr,none": 0.009125362970360623 | |
| }, | |
| "boolq": { | |
| "acc,none": 0.7174311926605504, | |
| "acc_stderr,none": 0.007874895085575213 | |
| }, | |
| "hellaswag": { | |
| "acc,none": 0.5075682135032862, | |
| "acc_stderr,none": 0.004989209770743232, | |
| "acc_norm,none": 0.6763592909778928, | |
| "acc_norm_stderr,none": 0.004669085411342217 | |
| }, | |
| "lambada_openai": { | |
| "perplexity,none": 4.362525202130014, | |
| "perplexity_stderr,none": 0.10078560700527144, | |
| "acc,none": 0.6702891519503202, | |
| "acc_stderr,none": 0.006549524731584282 | |
| }, | |
| "openbookqa": { | |
| "acc,none": 0.312, | |
| "acc_stderr,none": 0.020740596536488073, | |
| "acc_norm,none": 0.4, | |
| "acc_norm_stderr,none": 0.021930844120728505 | |
| }, | |
| "piqa": { | |
| "acc,none": 0.7687704026115343, | |
| "acc_stderr,none": 0.009837063180625326, | |
| "acc_norm,none": 0.7704026115342764, | |
| "acc_norm_stderr,none": 0.009812682950815206 | |
| }, | |
| "sciq": { | |
| "acc,none": 0.947, | |
| "acc_stderr,none": 0.007088105617246442, | |
| "acc_norm,none": 0.95, | |
| "acc_norm_stderr,none": 0.006895472974897893 | |
| }, | |
| "wikitext": { | |
| "word_perplexity,none": 16.49715176032047, | |
| "byte_perplexity,none": 1.5874349349461754, | |
| "bits_per_byte,none": 0.6666974605750762 | |
| }, | |
| "winogrande": { | |
| "acc,none": 0.6353591160220995, | |
| "acc_stderr,none": 0.01352774662242984 | |
| } | |
| }, | |
| "configs": { | |
| "arc_challenge": { | |
| "task": "arc_challenge", | |
| "group": [ | |
| "ai2_arc", | |
| "multiple_choice" | |
| ], | |
| "dataset_path": "ai2_arc", | |
| "dataset_name": "ARC-Challenge", | |
| "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": 5, | |
| "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:" | |
| }, | |
| "arc_easy": { | |
| "task": "arc_easy", | |
| "group": [ | |
| "ai2_arc", | |
| "multiple_choice" | |
| ], | |
| "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": 5, | |
| "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:" | |
| }, | |
| "boolq": { | |
| "task": "boolq", | |
| "group": [ | |
| "super-glue-lm-eval-v1" | |
| ], | |
| "dataset_path": "super_glue", | |
| "dataset_name": "boolq", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:", | |
| "doc_to_target": "label", | |
| "doc_to_choice": [ | |
| "no", | |
| "yes" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc" | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "passage" | |
| }, | |
| "hellaswag": { | |
| "task": "hellaswag", | |
| "group": [ | |
| "multiple_choice" | |
| ], | |
| "dataset_path": "hellaswag", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}", | |
| "doc_to_target": "{{label}}", | |
| "doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "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": false | |
| }, | |
| "lambada_openai": { | |
| "task": "lambada_openai", | |
| "group": [ | |
| "lambada", | |
| "loglikelihood", | |
| "perplexity" | |
| ], | |
| "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": 5, | |
| "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}}" | |
| }, | |
| "openbookqa": { | |
| "task": "openbookqa", | |
| "group": [ | |
| "multiple_choice" | |
| ], | |
| "dataset_path": "openbookqa", | |
| "dataset_name": "main", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "question_stem", | |
| "doc_to_target": "{{choices.label.index(answerKey.lstrip())}}", | |
| "doc_to_choice": "{{choices.text}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "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_stem" | |
| }, | |
| "piqa": { | |
| "task": "piqa", | |
| "group": [ | |
| "multiple_choice" | |
| ], | |
| "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": 5, | |
| "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" | |
| }, | |
| "sciq": { | |
| "task": "sciq", | |
| "group": [ | |
| "multiple_choice" | |
| ], | |
| "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": 5, | |
| "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}}" | |
| }, | |
| "wikitext": { | |
| "task": "wikitext", | |
| "group": [ | |
| "perplexity", | |
| "loglikelihood_rolling" | |
| ], | |
| "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 0x7f05d3475120>", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "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}}" | |
| }, | |
| "winogrande": { | |
| "task": "winogrande", | |
| "dataset_path": "winogrande", | |
| "dataset_name": "winogrande_xl", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "doc_to_text": "<function doc_to_text at 0x7f05d3475360>", | |
| "doc_to_target": "<function doc_to_target at 0x7f05d34756c0>", | |
| "doc_to_choice": "<function doc_to_choice at 0x7f05d3475a20>", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "sentence" | |
| } | |
| }, | |
| "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-pythia12b-hh-sft,parallelize=True", | |
| "batch_size": "4", | |
| "batch_sizes": [], | |
| "device": null, | |
| "use_cache": null, | |
| "limit": null, | |
| "bootstrap_iters": 100000 | |
| }, | |
| "git_hash": "d1a44c8" | |
| } |