| Downloading and preparing dataset super_glue/boolq to /home/laura/.cache/huggingface/datasets/super_glue/boolq/1.0.3/bb9675f958ebfee0d5d6dc5476fafe38c79123727a7258d515c450873dbdbbed... | |
| 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... | |
| Dataset openbookqa downloaded and prepared to /home/laura/.cache/huggingface/datasets/openbookqa/main/1.0.1/f338ccacfbc86fb8c2de3aa1c06d2ce686933de3bca284dba97d32592c52b33f. Subsequent calls will reuse this data. | |
| Downloading and preparing dataset piqa/plain_text to /home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011... | |
| Dataset piqa downloaded and prepared to /home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011. Subsequent calls will reuse this data. | |
| Downloading and preparing dataset sciq/default to /home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493... | |
| Dataset sciq downloaded and prepared to /home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493. Subsequent calls will reuse this data. | |
| Downloading and preparing dataset winogrande/winogrande_xl to /home/laura/.cache/huggingface/datasets/winogrande/winogrande_xl/1.1.0/a826c3d3506aefe0e9e9390dcb53271070536586bab95849876b2c1743df56e2... | |
| 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| | |