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Downloading and preparing dataset super_glue/boolq to /home/laura/.cache/huggingface/datasets/super_glue/boolq/1.0.3/bb9675f958ebfee0d5d6dc5476fafe38c79123727a7258d515c450873dbdbbed... |
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Dataset super_glue downloaded and prepared to /home/laura/.cache/huggingface/datasets/super_glue/boolq/1.0.3/bb9675f958ebfee0d5d6dc5476fafe38c79123727a7258d515c450873dbdbbed. Subsequent calls will reuse this data. |
|
Downloading and preparing dataset openbookqa/main to /home/laura/.cache/huggingface/datasets/openbookqa/main/1.0.1/f338ccacfbc86fb8c2de3aa1c06d2ce686933de3bca284dba97d32592c52b33f... |
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Dataset openbookqa downloaded and prepared to /home/laura/.cache/huggingface/datasets/openbookqa/main/1.0.1/f338ccacfbc86fb8c2de3aa1c06d2ce686933de3bca284dba97d32592c52b33f. Subsequent calls will reuse this data. |
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Downloading and preparing dataset piqa/plain_text to /home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011... |
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Dataset piqa downloaded and prepared to /home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011. Subsequent calls will reuse this data. |
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Downloading and preparing dataset sciq/default to /home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493... |
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Dataset sciq downloaded and prepared to /home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493. Subsequent calls will reuse this data. |
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Downloading and preparing dataset winogrande/winogrande_xl to /home/laura/.cache/huggingface/datasets/winogrande/winogrande_xl/1.1.0/a826c3d3506aefe0e9e9390dcb53271070536586bab95849876b2c1743df56e2... |
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Dataset winogrande downloaded and prepared to /home/laura/.cache/huggingface/datasets/winogrande/winogrande_xl/1.1.0/a826c3d3506aefe0e9e9390dcb53271070536586bab95849876b2c1743df56e2. Subsequent calls will reuse this data. |
|
bootstrapping for stddev: perplexity |
|
{ |
|
"results": { |
|
"arc_challenge": { |
|
"acc,none": 0.21843003412969283, |
|
"acc_stderr,none": 0.012074291605700959, |
|
"acc_norm,none": 0.2645051194539249, |
|
"acc_norm_stderr,none": 0.012889272949313368 |
|
}, |
|
"arc_easy": { |
|
"acc,none": 0.54503367003367, |
|
"acc_stderr,none": 0.010218084454602589, |
|
"acc_norm,none": 0.5370370370370371, |
|
"acc_norm_stderr,none": 0.010231597249131058 |
|
}, |
|
"boolq": { |
|
"acc,none": 0.4871559633027523, |
|
"acc_stderr,none": 0.008742169169427067 |
|
}, |
|
"hellaswag": { |
|
"acc,none": 0.33827922724556864, |
|
"acc_stderr,none": 0.004721571443354456, |
|
"acc_norm,none": 0.40818562039434375, |
|
"acc_norm_stderr,none": 0.004904933500255884 |
|
}, |
|
"lambada_openai": { |
|
"perplexity,none": 14.485555582236119, |
|
"perplexity_stderr,none": 0.4358013409476018, |
|
"acc,none": 0.4422666407917718, |
|
"acc_stderr,none": 0.006919384666875831 |
|
}, |
|
"openbookqa": { |
|
"acc,none": 0.188, |
|
"acc_stderr,none": 0.01749067888034625, |
|
"acc_norm,none": 0.28, |
|
"acc_norm_stderr,none": 0.020099950647503237 |
|
}, |
|
"piqa": { |
|
"acc,none": 0.6806311207834603, |
|
"acc_stderr,none": 0.010877964076613737, |
|
"acc_norm,none": 0.6692056583242655, |
|
"acc_norm_stderr,none": 0.010977520584714429 |
|
}, |
|
"sciq": { |
|
"acc,none": 0.892, |
|
"acc_stderr,none": 0.009820001651345682, |
|
"acc_norm,none": 0.887, |
|
"acc_norm_stderr,none": 0.01001655286669685 |
|
}, |
|
"wikitext": { |
|
"word_perplexity,none": 34.50450469911897, |
|
"byte_perplexity,none": 1.7927778872125213, |
|
"bits_per_byte,none": 0.842196759334895 |
|
}, |
|
"winogrande": { |
|
"acc,none": 0.5335438042620363, |
|
"acc_stderr,none": 0.014020826677598103 |
|
} |
|
}, |
|
"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", |
|
"template_aliases": "", |
|
"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", |
|
"template_aliases": "", |
|
"doc_to_text": "", |
|
"doc_to_target": "<function wikitext_detokenizer at 0x7efb86530040>", |
|
"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 0x7efb86502ef0>", |
|
"doc_to_target": "<function doc_to_target at 0x7efb86503370>", |
|
"doc_to_choice": "<function doc_to_choice at 0x7efb865035b0>", |
|
"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": 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=EleutherAI/pythia-410m", |
|
"num_fewshot": 5, |
|
"batch_size": 16, |
|
"batch_sizes": [], |
|
"device": "cuda:0", |
|
"use_cache": null, |
|
"limit": null, |
|
"bootstrap_iters": 100000 |
|
}, |
|
"git_hash": "4e44f0a" |
|
} |
|
hf (pretrained=EleutherAI/pythia-410m), limit: None, num_fewshot: 5, batch_size: 16 |
|
| Task |Version|Filter| Metric | Value | |Stderr| |
|
|--------------|-------|------|---------------|------:|---|-----:| |
|
|arc_challenge |Yaml |none |acc | 0.2184|± |0.0121| |
|
| | |none |acc_norm | 0.2645|± |0.0129| |
|
|arc_easy |Yaml |none |acc | 0.5450|± |0.0102| |
|
| | |none |acc_norm | 0.5370|± |0.0102| |
|
|boolq |Yaml |none |acc | 0.4872|± |0.0087| |
|
|hellaswag |Yaml |none |acc | 0.3383|± |0.0047| |
|
| | |none |acc_norm | 0.4082|± |0.0049| |
|
|lambada_openai|Yaml |none |perplexity |14.4856|± |0.4358| |
|
| | |none |acc | 0.4423|± |0.0069| |
|
|openbookqa |Yaml |none |acc | 0.1880|± |0.0175| |
|
| | |none |acc_norm | 0.2800|± |0.0201| |
|
|piqa |Yaml |none |acc | 0.6806|± |0.0109| |
|
| | |none |acc_norm | 0.6692|± |0.0110| |
|
|sciq |Yaml |none |acc | 0.8920|± |0.0098| |
|
| | |none |acc_norm | 0.8870|± |0.0100| |
|
|wikitext |Yaml |none |word_perplexity|34.5045| | | |
|
| | |none |byte_perplexity| 1.7928| | | |
|
| | |none |bits_per_byte | 0.8422| | | |
|
|winogrande |Yaml |none |acc | 0.5335|± |0.0140| |
|
|
|
|