441 lines
15 KiB
Plaintext
441 lines
15 KiB
Plaintext
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|
|
|
|