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Model: lomahony/eleuther-pythia410m-hh-sft Source: Original Platform
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406
base-410m-eval-files/EleutherAI-pythia-410m-0shot/results.json
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406
base-410m-eval-files/EleutherAI-pythia-410m-0shot/results.json
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{
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"results": {
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"arc_challenge": {
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"acc,none": 0.21416382252559726,
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"acc_stderr,none": 0.011988383205966515,
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},
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},
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},
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"lambada_openai": {
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},
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"openbookqa": {
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"acc_norm,none": 0.294,
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"acc_norm_stderr,none": 0.020395095484936624
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},
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"piqa": {
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"acc_norm,none": 0.6719260065288357,
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"acc_norm_stderr,none": 0.010954487135124227
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},
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"sciq": {
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"acc,none": 0.815,
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"acc_stderr,none": 0.012285191326386667,
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"acc_norm,none": 0.725,
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"acc_norm_stderr,none": 0.014127086556490528
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},
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"wikitext": {
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"word_perplexity,none": 34.50450469911897,
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"byte_perplexity,none": 1.7927778872125213,
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"bits_per_byte,none": 0.842196759334895
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},
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"winogrande": {
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"acc,none": 0.5335438042620363,
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"acc_stderr,none": 0.014020826677598103
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}
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},
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"configs": {
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"arc_challenge": {
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"task": "arc_challenge",
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"group": [
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"ai2_arc",
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"multiple_choice"
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],
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"dataset_path": "ai2_arc",
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"dataset_name": "ARC-Challenge",
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"training_split": "train",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "Question: {{question}}\nAnswer:",
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"doc_to_target": "{{choices.label.index(answerKey)}}",
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"doc_to_choice": "{{choices.text}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
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},
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"arc_easy": {
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"task": "arc_easy",
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"group": [
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"ai2_arc",
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"multiple_choice"
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],
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"dataset_path": "ai2_arc",
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"dataset_name": "ARC-Easy",
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"training_split": "train",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "Question: {{question}}\nAnswer:",
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"doc_to_target": "{{choices.label.index(answerKey)}}",
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"doc_to_choice": "{{choices.text}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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"output_type": "multiple_choice",
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
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},
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"boolq": {
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"task": "boolq",
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"group": [
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"super-glue-lm-eval-v1"
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],
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"dataset_name": "boolq",
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"training_split": "train",
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"validation_split": "validation",
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"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
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"doc_to_target": "label",
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"doc_to_choice": [
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"no",
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"yes"
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],
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc"
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "passage"
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},
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"hellaswag": {
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"task": "hellaswag",
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"group": [
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"multiple_choice"
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],
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"dataset_path": "hellaswag",
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"training_split": "train",
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"validation_split": "validation",
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"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
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"doc_to_target": "{{label}}",
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"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": false
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},
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"lambada_openai": {
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"task": "lambada_openai",
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"group": [
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"lambada",
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"loglikelihood",
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"perplexity"
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],
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"dataset_path": "EleutherAI/lambada_openai",
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"dataset_name": "default",
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"test_split": "test",
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"template_aliases": "",
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"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
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"doc_to_target": "{{' '+text.split(' ')[-1]}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "perplexity",
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"aggregation": "perplexity",
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"higher_is_better": false
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},
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "loglikelihood",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "{{text}}"
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},
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"openbookqa": {
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"task": "openbookqa",
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"group": [
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"multiple_choice"
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],
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"dataset_path": "openbookqa",
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"dataset_name": "main",
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"training_split": "train",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "question_stem",
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"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
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"doc_to_choice": "{{choices.text}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "question_stem"
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},
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"piqa": {
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"task": "piqa",
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"group": [
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"multiple_choice"
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],
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"dataset_path": "piqa",
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"training_split": "train",
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"validation_split": "validation",
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"doc_to_text": "Question: {{goal}}\nAnswer:",
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"doc_to_target": "label",
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"doc_to_choice": "{{[sol1, sol2]}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "goal"
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},
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"sciq": {
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"task": "sciq",
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"group": [
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"multiple_choice"
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],
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"dataset_path": "sciq",
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"training_split": "train",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
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"doc_to_target": 3,
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"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "{{support}} {{question}}"
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},
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"wikitext": {
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"task": "wikitext",
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"group": [
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"perplexity",
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"loglikelihood_rolling"
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],
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"dataset_path": "EleutherAI/wikitext_document_level",
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"dataset_name": "wikitext-2-raw-v1",
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"training_split": "train",
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"validation_split": "validation",
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"test_split": "test",
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"template_aliases": "",
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"doc_to_text": "",
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"doc_to_target": "<function wikitext_detokenizer at 0x7fae1b130040>",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "word_perplexity"
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},
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{
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"metric": "byte_perplexity"
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},
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{
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"metric": "bits_per_byte"
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}
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],
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"output_type": "loglikelihood_rolling",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "{{page}}"
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},
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"winogrande": {
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"task": "winogrande",
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"dataset_path": "winogrande",
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"dataset_name": "winogrande_xl",
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"training_split": "train",
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"validation_split": "validation",
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"doc_to_text": "<function doc_to_text at 0x7fae1b102ef0>",
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"doc_to_target": "<function doc_to_target at 0x7fae1b103370>",
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"doc_to_choice": "<function doc_to_choice at 0x7fae1b1035b0>",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": false
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}
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},
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"versions": {
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"arc_challenge": "Yaml",
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"arc_easy": "Yaml",
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"boolq": "Yaml",
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"hellaswag": "Yaml",
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"lambada_openai": "Yaml",
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"openbookqa": "Yaml",
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"piqa": "Yaml",
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"sciq": "Yaml",
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"wikitext": "Yaml",
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"winogrande": "Yaml"
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},
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"config": {
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"model": "hf",
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"model_args": "pretrained=EleutherAI/pythia-410m",
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"num_fewshot": 0,
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"batch_size": 16,
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"batch_sizes": [],
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"device": "cuda:0",
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"use_cache": null,
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"limit": null,
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"bootstrap_iters": 100000
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},
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"git_hash": "4e44f0a"
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}
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