| { | |
| "results": { | |
| "arc_challenge": { | |
| "acc,none": 0.35409556313993173, | |
| "acc_stderr,none": 0.01397545412275655, | |
| "acc_norm,none": 0.3890784982935154, | |
| "acc_norm_stderr,none": 0.014247309976045609 | |
| }, | |
| "arc_easy": { | |
| "acc,none": 0.6944444444444444, | |
| "acc_stderr,none": 0.00945218121359346, | |
| "acc_norm,none": 0.7045454545454546, | |
| "acc_norm_stderr,none": 0.009361987126556446 | |
| }, | |
| "boolq": { | |
| "acc,none": 0.6574923547400612, | |
| "acc_stderr,none": 0.008299903219506771 | |
| }, | |
| "hellaswag": { | |
| "acc,none": 0.4803823939454292, | |
| "acc_stderr,none": 0.004985939292819588, | |
| "acc_norm,none": 0.650866361282613, | |
| "acc_norm_stderr,none": 0.004757220449283696 | |
| }, | |
| "lambada_openai": { | |
| "perplexity,none": 5.632830092794682, | |
| "perplexity_stderr,none": 0.13309255473880457, | |
| "acc,none": 0.6231321560256161, | |
| "acc_stderr,none": 0.006751444407117095 | |
| }, | |
| "openbookqa": { | |
| "acc,none": 0.28, | |
| "acc_stderr,none": 0.020099950647503233, | |
| "acc_norm,none": 0.354, | |
| "acc_norm_stderr,none": 0.021407582047916447 | |
| }, | |
| "piqa": { | |
| "acc,none": 0.764417845484222, | |
| "acc_stderr,none": 0.009901067586473907, | |
| "acc_norm,none": 0.7633297062023939, | |
| "acc_norm_stderr,none": 0.009916841655042809 | |
| }, | |
| "sciq": { | |
| "acc,none": 0.947, | |
| "acc_stderr,none": 0.007088105617246445, | |
| "acc_norm,none": 0.955, | |
| "acc_norm_stderr,none": 0.006558812241406067 | |
| }, | |
| "wikitext": { | |
| "word_perplexity,none": 17.682958079421635, | |
| "byte_perplexity,none": 1.6057045697141277, | |
| "bits_per_byte,none": 0.6832064787735104 | |
| }, | |
| "winogrande": { | |
| "acc,none": 0.6069455406471981, | |
| "acc_stderr,none": 0.013727276249108442 | |
| } | |
| }, | |
| "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 0x7fd39a70d120>", | |
| "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 0x7fd39a70d360>", | |
| "doc_to_target": "<function doc_to_target at 0x7fd39a70d6c0>", | |
| "doc_to_choice": "<function doc_to_choice at 0x7fd39a70da20>", | |
| "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=EleutherAI/pythia-6.9b", | |
| "batch_size": "4", | |
| "batch_sizes": [], | |
| "device": null, | |
| "use_cache": null, | |
| "limit": null, | |
| "bootstrap_iters": 100000 | |
| }, | |
| "git_hash": "d1a44c8" | |
| } |