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Model: lomahony/eleuther-pythia2.8b-hh-sft
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2026-08-01 12:43:18 +08:00
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base-2.8b-eval-files/EleutherAI-pythia-2.8b-0shot-shelloutput.txt Normal file
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bootstrapping for stddev: perplexity
hf (pretrained=EleutherAI/pythia-2.8b), limit: None, num_fewshot: 0, batch_size: 16
| Task |Version|Filter| Metric | Value | |Stderr|
|--------------|-------|------|---------------|------:|---|-----:|
|arc_challenge |Yaml |none |acc | 0.2952|± |0.0133|
| | |none |acc_norm | 0.3311|± |0.0138|
|arc_easy |Yaml |none |acc | 0.6448|± |0.0098|
| | |none |acc_norm | 0.5871|± |0.0101|
|boolq |Yaml |none |acc | 0.6474|± |0.0084|
|hellaswag |Yaml |none |acc | 0.4532|± |0.0050|
| | |none |acc_norm | 0.5926|± |0.0049|
|lambada_openai|Yaml |none |perplexity | 5.0370|± |0.1191|
| | |none |acc | 0.6472|± |0.0067|
|openbookqa |Yaml |none |acc | 0.2400|± |0.0191|
| | |none |acc_norm | 0.3580|± |0.0215|
|piqa |Yaml |none |acc | 0.7394|± |0.0102|
| | |none |acc_norm | 0.7356|± |0.0103|
|sciq |Yaml |none |acc | 0.8870|± |0.0100|
| | |none |acc_norm | 0.8350|± |0.0117|
|wikitext |Yaml |none |word_perplexity|20.0571| | |
| | |none |byte_perplexity| 1.6394| | |
| | |none |bits_per_byte | 0.7132| | |
|winogrande |Yaml |none |acc | 0.5975|± |0.0138|

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base-2.8b-eval-files/EleutherAI-pythia-2.8b-0shot/results.json Normal file
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{
"results": {
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"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": 0,
"metric_list": [
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"higher_is_better": true
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"output_type": "multiple_choice",
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"lambada_openai": {
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"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": 0,
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"aggregation": "perplexity",
"higher_is_better": false
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{
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"higher_is_better": true
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"dataset_name": "main",
"training_split": "train",
"validation_split": "validation",
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"doc_to_text": "question_stem",
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
"doc_to_choice": "{{choices.text}}",
"description": "",
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"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",
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"metric_list": [
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"doc_to_decontamination_query": "goal"
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"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": 0,
"metric_list": [
{
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"higher_is_better": true
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}
],
"output_type": "multiple_choice",
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"doc_to_decontamination_query": "{{support}} {{question}}"
},
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],
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"doc_to_decontamination_query": "{{page}}"
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"versions": {
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"openbookqa": "Yaml",
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"config": {
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}

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base-2.8b-eval-files/EleutherAI-pythia-2.8b-5shot-shelloutput.txt Normal file
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bootstrapping for stddev: perplexity
hf (pretrained=EleutherAI/pythia-2.8b), limit: None, num_fewshot: 5, batch_size: 8
| Task |Version|Filter| Metric | Value | |Stderr|
|--------------|-------|------|---------------|------:|---|-----:|
|arc_challenge |Yaml |none |acc | 0.3123|± |0.0135|
| | |none |acc_norm | 0.3549|± |0.0140|
|arc_easy |Yaml |none |acc | 0.6700|± |0.0096|
| | |none |acc_norm | 0.6759|± |0.0096|
|boolq |Yaml |none |acc | 0.6664|± |0.0082|
|hellaswag |Yaml |none |acc | 0.4504|± |0.0050|
| | |none |acc_norm | 0.6031|± |0.0049|
|lambada_openai|Yaml |none |perplexity | 6.4479|± |0.1602|
| | |none |acc | 0.5948|± |0.0068|
|openbookqa |Yaml |none |acc | 0.2480|± |0.0193|
| | |none |acc_norm | 0.3720|± |0.0216|
|piqa |Yaml |none |acc | 0.7427|± |0.0102|
| | |none |acc_norm | 0.7443|± |0.0102|
|sciq |Yaml |none |acc | 0.9440|± |0.0073|
| | |none |acc_norm | 0.9400|± |0.0075|
|wikitext |Yaml |none |word_perplexity|20.0571| | |
| | |none |byte_perplexity| 1.6394| | |
| | |none |bits_per_byte | 0.7132| | |
|winogrande |Yaml |none |acc | 0.5943|± |0.0138|

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base-2.8b-eval-files/EleutherAI-pythia-2.8b-5shot/results.json Normal file
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{
"results": {
"arc_challenge": {
"acc,none": 0.3122866894197952,
"acc_stderr,none": 0.013542598541688065,
"acc_norm,none": 0.35494880546075086,
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"acc_stderr,none": 0.009648311574241036,
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},
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"wikitext": {
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"byte_perplexity,none": 1.6394022363791052,
"bits_per_byte,none": 0.7131698710530711
},
"winogrande": {
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"acc_stderr,none": 0.013800206336014201
}
},
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],
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},
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],
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"validation_split": "validation",
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"doc_to_target": "label",
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],
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"training_split": "train",
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"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
},
{
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"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": [
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],
"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": " ",
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"num_fewshot": 5,
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"higher_is_better": true
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{
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"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": true,
"doc_to_decontamination_query": "question_stem"
},
"piqa": {
"task": "piqa",
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],
"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": [
{
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},
{
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}
],
"output_type": "multiple_choice",
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"doc_to_decontamination_query": "goal"
},
"sciq": {
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],
"dataset_path": "sciq",
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"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]}}",
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"target_delimiter": " ",
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{
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{
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],
"output_type": "multiple_choice",
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"doc_to_decontamination_query": "{{support}} {{question}}"
},
"wikitext": {
"task": "wikitext",
"group": [
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"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 0x7f80942fd120>",
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"fewshot_delimiter": "\n\n",
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"metric_list": [
{
"metric": "word_perplexity"
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{
"metric": "byte_perplexity"
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{
"metric": "bits_per_byte"
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],
"output_type": "loglikelihood_rolling",
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"should_decontaminate": true,
"doc_to_decontamination_query": "{{page}}"
},
"winogrande": {
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"dataset_path": "winogrande",
"dataset_name": "winogrande_xl",
"training_split": "train",
"validation_split": "validation",
"doc_to_text": "<function doc_to_text at 0x7f80942fd360>",
"doc_to_target": "<function doc_to_target at 0x7f80942fd6c0>",
"doc_to_choice": "<function doc_to_choice at 0x7f80942fda20>",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
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"metric_list": [
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}
],
"output_type": "multiple_choice",
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"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-2.8b",
"batch_size": "8",
"batch_sizes": [],
"device": null,
"use_cache": null,
"limit": null,
"bootstrap_iters": 100000
},
"git_hash": "d1a44c8"
}