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Model: lomahony/eleuther-pythia2.8b-hh-sft Source: Original Platform
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.gitattributes
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20
README.md
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README.md
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---
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language:
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- en
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tags:
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- pytorch
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- causal-lm
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- pythia
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license: apache-2.0
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datasets:
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- Anthropic/hh-rlhf
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---
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[Pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) supervised finetuned with [Anthropic-hh-rlhf dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf) for 1 epoch.
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[wandb log](https://wandb.ai/pythia_dpo/Pythia_LOM/runs/6wkkckv7?workspace=user-lauraomahony)
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Benchmark evaluations included in repo done using [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/big-refactor).
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See [Pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) for model details [(paper)](https://arxiv.org/abs/2101.00027).
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bootstrapping for stddev: perplexity
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hf (pretrained=EleutherAI/pythia-2.8b), limit: None, num_fewshot: 0, batch_size: 16
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| Task |Version|Filter| Metric | Value | |Stderr|
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|--------------|-------|------|---------------|------:|---|-----:|
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|arc_challenge |Yaml |none |acc | 0.2952|± |0.0133|
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| | |none |acc_norm | 0.3311|± |0.0138|
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|arc_easy |Yaml |none |acc | 0.6448|± |0.0098|
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| | |none |acc_norm | 0.5871|± |0.0101|
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|boolq |Yaml |none |acc | 0.6474|± |0.0084|
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|hellaswag |Yaml |none |acc | 0.4532|± |0.0050|
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| | |none |acc_norm | 0.5926|± |0.0049|
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|lambada_openai|Yaml |none |perplexity | 5.0370|± |0.1191|
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| | |none |acc | 0.6472|± |0.0067|
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|openbookqa |Yaml |none |acc | 0.2400|± |0.0191|
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| | |none |acc_norm | 0.3580|± |0.0215|
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|piqa |Yaml |none |acc | 0.7394|± |0.0102|
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| | |none |acc_norm | 0.7356|± |0.0103|
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|sciq |Yaml |none |acc | 0.8870|± |0.0100|
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| | |none |acc_norm | 0.8350|± |0.0117|
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|wikitext |Yaml |none |word_perplexity|20.0571| | |
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| | |none |byte_perplexity| 1.6394| | |
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| | |none |bits_per_byte | 0.7132| | |
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|winogrande |Yaml |none |acc | 0.5975|± |0.0138|
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404
base-2.8b-eval-files/EleutherAI-pythia-2.8b-0shot/results.json
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base-2.8b-eval-files/EleutherAI-pythia-2.8b-0shot/results.json
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{
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"results": {
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"arc_challenge": {
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"acc,none": 0.295221843003413,
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"acc_stderr,none": 0.013329750293382316,
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"acc_norm,none": 0.3310580204778157,
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"acc_norm_stderr,none": 0.013752062419817836
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},
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"arc_easy": {
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"acc,none": 0.6447811447811448,
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"acc_stderr,none": 0.009820245899287126,
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"acc_norm,none": 0.5871212121212122,
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"acc_norm_stderr,none": 0.010102837421104667
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},
|
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"boolq": {
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"acc,none": 0.6474006116207951,
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"acc_stderr,none": 0.008356412493562119
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},
|
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"hellaswag": {
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"acc,none": 0.4531965743875722,
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"acc_stderr,none": 0.004967872475383267,
|
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"acc_norm,none": 0.5926110336586338,
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"acc_norm_stderr,none": 0.00490344168000382
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},
|
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"lambada_openai": {
|
||||
"perplexity,none": 5.0369907596068435,
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"perplexity_stderr,none": 0.11909165322070424,
|
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"acc,none": 0.6471958082670289,
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"acc_stderr,none": 0.006657279471298494
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},
|
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"openbookqa": {
|
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"acc,none": 0.24,
|
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"acc_stderr,none": 0.019118866653759753,
|
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"acc_norm,none": 0.358,
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"acc_norm_stderr,none": 0.02146143486285912
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},
|
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"piqa": {
|
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"acc,none": 0.7393906420021763,
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"acc_stderr,none": 0.010241826155811627,
|
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"acc_norm,none": 0.735582154515778,
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"acc_norm_stderr,none": 0.01028978724476717
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},
|
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"sciq": {
|
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"acc,none": 0.887,
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"acc_stderr,none": 0.010016552866696846,
|
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"acc_norm,none": 0.835,
|
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"acc_norm_stderr,none": 0.011743632866916171
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},
|
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"wikitext": {
|
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"word_perplexity,none": 20.05713713364702,
|
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"byte_perplexity,none": 1.6394022363791052,
|
||||
"bits_per_byte,none": 0.7131698710530711
|
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},
|
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"winogrande": {
|
||||
"acc,none": 0.5974743488555643,
|
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"acc_stderr,none": 0.013782866831703043
|
||||
}
|
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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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"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}}",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"metric_list": [
|
||||
{
|
||||
"metric": "acc",
|
||||
"aggregation": "mean",
|
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"higher_is_better": true
|
||||
},
|
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{
|
||||
"metric": "acc_norm",
|
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"aggregation": "mean",
|
||||
"higher_is_better": true
|
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}
|
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],
|
||||
"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"
|
||||
],
|
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"dataset_path": "ai2_arc",
|
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"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": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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",
|
||||
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
||||
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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",
|
||||
"doc_to_text": "",
|
||||
"doc_to_target": "<function wikitext_detokenizer at 0x7fbdfeb25120>",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"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 0x7fbdfeb25360>",
|
||||
"doc_to_target": "<function doc_to_target at 0x7fbdfeb256c0>",
|
||||
"doc_to_choice": "<function doc_to_choice at 0x7fbdfeb25a20>",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"metric_list": [
|
||||
{
|
||||
"metric": "acc",
|
||||
"aggregation": "mean",
|
||||
"higher_is_better": true
|
||||
}
|
||||
],
|
||||
"output_type": "multiple_choice",
|
||||
"repeats": 1,
|
||||
"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": "16",
|
||||
"batch_sizes": [],
|
||||
"device": null,
|
||||
"use_cache": null,
|
||||
"limit": null,
|
||||
"bootstrap_iters": 100000
|
||||
},
|
||||
"git_hash": "d1a44c8"
|
||||
}
|
||||
@@ -0,0 +1,24 @@
|
||||
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|
|
||||
|
||||
404
base-2.8b-eval-files/EleutherAI-pythia-2.8b-5shot/results.json
Normal file
404
base-2.8b-eval-files/EleutherAI-pythia-2.8b-5shot/results.json
Normal file
@@ -0,0 +1,404 @@
|
||||
{
|
||||
"results": {
|
||||
"arc_challenge": {
|
||||
"acc,none": 0.3122866894197952,
|
||||
"acc_stderr,none": 0.013542598541688065,
|
||||
"acc_norm,none": 0.35494880546075086,
|
||||
"acc_norm_stderr,none": 0.01398303690409409
|
||||
},
|
||||
"arc_easy": {
|
||||
"acc,none": 0.67003367003367,
|
||||
"acc_stderr,none": 0.009648311574241036,
|
||||
"acc_norm,none": 0.6759259259259259,
|
||||
"acc_norm_stderr,none": 0.009603728850095387
|
||||
},
|
||||
"boolq": {
|
||||
"acc,none": 0.6663608562691131,
|
||||
"acc_stderr,none": 0.008246805985556868
|
||||
},
|
||||
"hellaswag": {
|
||||
"acc,none": 0.450408285202151,
|
||||
"acc_stderr,none": 0.0049651776330499236,
|
||||
"acc_norm,none": 0.6030671181039634,
|
||||
"acc_norm_stderr,none": 0.0048826194841666
|
||||
},
|
||||
"lambada_openai": {
|
||||
"perplexity,none": 6.447861085824152,
|
||||
"perplexity_stderr,none": 0.16023935097204245,
|
||||
"acc,none": 0.5947991461284688,
|
||||
"acc_stderr,none": 0.0068396269826581525
|
||||
},
|
||||
"openbookqa": {
|
||||
"acc,none": 0.248,
|
||||
"acc_stderr,none": 0.019332342821239103,
|
||||
"acc_norm,none": 0.372,
|
||||
"acc_norm_stderr,none": 0.0216371979857224
|
||||
},
|
||||
"piqa": {
|
||||
"acc,none": 0.7426550598476604,
|
||||
"acc_stderr,none": 0.01019992106479251,
|
||||
"acc_norm,none": 0.7442872687704026,
|
||||
"acc_norm_stderr,none": 0.010178690109459857
|
||||
},
|
||||
"sciq": {
|
||||
"acc,none": 0.944,
|
||||
"acc_stderr,none": 0.007274401481697066,
|
||||
"acc_norm,none": 0.94,
|
||||
"acc_norm_stderr,none": 0.007513751157474921
|
||||
},
|
||||
"wikitext": {
|
||||
"word_perplexity,none": 20.05713713364702,
|
||||
"byte_perplexity,none": 1.6394022363791052,
|
||||
"bits_per_byte,none": 0.7131698710530711
|
||||
},
|
||||
"winogrande": {
|
||||
"acc,none": 0.5943172849250198,
|
||||
"acc_stderr,none": 0.013800206336014201
|
||||
}
|
||||
},
|
||||
"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",
|
||||
"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",
|
||||
"doc_to_text": "",
|
||||
"doc_to_target": "<function wikitext_detokenizer at 0x7f80942fd120>",
|
||||
"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 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",
|
||||
"num_fewshot": 5,
|
||||
"metric_list": [
|
||||
{
|
||||
"metric": "acc",
|
||||
"aggregation": "mean",
|
||||
"higher_is_better": true
|
||||
}
|
||||
],
|
||||
"output_type": "multiple_choice",
|
||||
"repeats": 1,
|
||||
"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"
|
||||
}
|
||||
24
config.json
Normal file
24
config.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"architectures": [
|
||||
"GPTNeoXForCausalLM"
|
||||
],
|
||||
"bos_token_id": 0,
|
||||
"eos_token_id": 0,
|
||||
"hidden_act": "gelu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 10240,
|
||||
"layer_norm_eps": 1e-05,
|
||||
"max_position_embeddings": 2048,
|
||||
"model_type": "gpt_neox",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"rotary_emb_base": 10000,
|
||||
"rotary_pct": 0.25,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.24.0",
|
||||
"use_cache": true,
|
||||
"use_parallel_residual": true,
|
||||
"vocab_size": 50304
|
||||
}
|
||||
3
pytorch_model.bin
Normal file
3
pytorch_model.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e8c97eb9f5ff4838883d2b8c6fba8292b0d7b2e672a8d52b5e92635608471861
|
||||
size 11235225025
|
||||
@@ -0,0 +1,24 @@
|
||||
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|
|
||||
|
||||
@@ -0,0 +1,24 @@
|
||||
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|
|
||||
|
||||
24
sft-2.8b-eval-files/dpo-pythia-2.8b-0shot-shelloutput.txt
Normal file
24
sft-2.8b-eval-files/dpo-pythia-2.8b-0shot-shelloutput.txt
Normal file
@@ -0,0 +1,24 @@
|
||||
bootstrapping for stddev: perplexity
|
||||
hf (pretrained=lomahony/eleuther-pythia2.8b-hh-dpo), limit: None, num_fewshot: 0, batch_size: 16
|
||||
| Task |Version|Filter| Metric | Value | |Stderr|
|
||||
|--------------|-------|------|---------------|------:|---|-----:|
|
||||
|arc_challenge |Yaml |none |acc | 0.3302|± |0.0137|
|
||||
| | |none |acc_norm | 0.3490|± |0.0139|
|
||||
|arc_easy |Yaml |none |acc | 0.6625|± |0.0097|
|
||||
| | |none |acc_norm | 0.5918|± |0.0101|
|
||||
|boolq |Yaml |none |acc | 0.6248|± |0.0085|
|
||||
|hellaswag |Yaml |none |acc | 0.4677|± |0.0050|
|
||||
| | |none |acc_norm | 0.6072|± |0.0049|
|
||||
|lambada_openai|Yaml |none |perplexity | 4.4821|± |0.1220|
|
||||
| | |none |acc | 0.6350|± |0.0067|
|
||||
|openbookqa |Yaml |none |acc | 0.2640|± |0.0197|
|
||||
| | |none |acc_norm | 0.3960|± |0.0219|
|
||||
|piqa |Yaml |none |acc | 0.7535|± |0.0101|
|
||||
| | |none |acc_norm | 0.7454|± |0.0102|
|
||||
|sciq |Yaml |none |acc | 0.8630|± |0.0109|
|
||||
| | |none |acc_norm | 0.8030|± |0.0126|
|
||||
|wikitext |Yaml |none |word_perplexity|21.9279| | |
|
||||
| | |none |byte_perplexity| 1.6637| | |
|
||||
| | |none |bits_per_byte | 0.7344| | |
|
||||
|winogrande |Yaml |none |acc | 0.5967|± |0.0138|
|
||||
|
||||
24
sft-2.8b-eval-files/dpo-pythia-2.8b-5shot-shelloutput.txt
Normal file
24
sft-2.8b-eval-files/dpo-pythia-2.8b-5shot-shelloutput.txt
Normal file
@@ -0,0 +1,24 @@
|
||||
bootstrapping for stddev: perplexity
|
||||
hf (pretrained=lomahony/eleuther-pythia2.8b-hh-dpo), limit: None, num_fewshot: 5, batch_size: 8
|
||||
| Task |Version|Filter| Metric | Value | |Stderr|
|
||||
|--------------|-------|------|---------------|------:|---|-----:|
|
||||
|arc_challenge |Yaml |none |acc | 0.3353|± |0.0138|
|
||||
| | |none |acc_norm | 0.3788|± |0.0142|
|
||||
|arc_easy |Yaml |none |acc | 0.6890|± |0.0095|
|
||||
| | |none |acc_norm | 0.6936|± |0.0095|
|
||||
|boolq |Yaml |none |acc | 0.6495|± |0.0083|
|
||||
|hellaswag |Yaml |none |acc | 0.4680|± |0.0050|
|
||||
| | |none |acc_norm | 0.6124|± |0.0049|
|
||||
|lambada_openai|Yaml |none |perplexity | 5.9966|± |0.1685|
|
||||
| | |none |acc | 0.5789|± |0.0069|
|
||||
|openbookqa |Yaml |none |acc | 0.2720|± |0.0199|
|
||||
| | |none |acc_norm | 0.3740|± |0.0217|
|
||||
|piqa |Yaml |none |acc | 0.7535|± |0.0101|
|
||||
| | |none |acc_norm | 0.7573|± |0.0100|
|
||||
|sciq |Yaml |none |acc | 0.9340|± |0.0079|
|
||||
| | |none |acc_norm | 0.9190|± |0.0086|
|
||||
|wikitext |Yaml |none |word_perplexity|21.9279| | |
|
||||
| | |none |byte_perplexity| 1.6637| | |
|
||||
| | |none |bits_per_byte | 0.7344| | |
|
||||
|winogrande |Yaml |none |acc | 0.5967|± |0.0138|
|
||||
|
||||
24
sft-2.8b-eval-files/sft-pythia-2.8b-0shot-shelloutput.txt
Normal file
24
sft-2.8b-eval-files/sft-pythia-2.8b-0shot-shelloutput.txt
Normal file
@@ -0,0 +1,24 @@
|
||||
bootstrapping for stddev: perplexity
|
||||
hf (pretrained=lomahony/eleuther-pythia2.8b-hh-sft), limit: None, num_fewshot: 0, batch_size: 16
|
||||
| Task |Version|Filter| Metric | Value | |Stderr|
|
||||
|--------------|-------|------|---------------|------:|---|-----:|
|
||||
|arc_challenge |Yaml |none |acc | 0.3003|± |0.0134|
|
||||
| | |none |acc_norm | 0.3268|± |0.0137|
|
||||
|arc_easy |Yaml |none |acc | 0.6486|± |0.0098|
|
||||
| | |none |acc_norm | 0.5657|± |0.0102|
|
||||
|boolq |Yaml |none |acc | 0.6468|± |0.0084|
|
||||
|hellaswag |Yaml |none |acc | 0.4516|± |0.0050|
|
||||
| | |none |acc_norm | 0.5870|± |0.0049|
|
||||
|lambada_openai|Yaml |none |perplexity | 4.9120|± |0.1230|
|
||||
| | |none |acc | 0.6344|± |0.0067|
|
||||
|openbookqa |Yaml |none |acc | 0.2540|± |0.0195|
|
||||
| | |none |acc_norm | 0.3700|± |0.0216|
|
||||
|piqa |Yaml |none |acc | 0.7448|± |0.0102|
|
||||
| | |none |acc_norm | 0.7405|± |0.0102|
|
||||
|sciq |Yaml |none |acc | 0.8720|± |0.0106|
|
||||
| | |none |acc_norm | 0.8010|± |0.0126|
|
||||
|wikitext |Yaml |none |word_perplexity|20.7220| | |
|
||||
| | |none |byte_perplexity| 1.6482| | |
|
||||
| | |none |bits_per_byte | 0.7209| | |
|
||||
|winogrande |Yaml |none |acc | 0.5888|± |0.0138|
|
||||
|
||||
404
sft-2.8b-eval-files/sft-pythia-2.8b-0shot/results.json
Normal file
404
sft-2.8b-eval-files/sft-pythia-2.8b-0shot/results.json
Normal file
@@ -0,0 +1,404 @@
|
||||
{
|
||||
"results": {
|
||||
"arc_challenge": {
|
||||
"acc,none": 0.3003412969283277,
|
||||
"acc_stderr,none": 0.013395909309957,
|
||||
"acc_norm,none": 0.3267918088737201,
|
||||
"acc_norm_stderr,none": 0.013706665975587336
|
||||
},
|
||||
"arc_easy": {
|
||||
"acc,none": 0.6485690235690236,
|
||||
"acc_stderr,none": 0.00979639558281772,
|
||||
"acc_norm,none": 0.5656565656565656,
|
||||
"acc_norm_stderr,none": 0.010170943451269428
|
||||
},
|
||||
"boolq": {
|
||||
"acc,none": 0.6467889908256881,
|
||||
"acc_stderr,none": 0.008359705247064303
|
||||
},
|
||||
"hellaswag": {
|
||||
"acc,none": 0.45160326628161723,
|
||||
"acc_stderr,none": 0.004966351835028203,
|
||||
"acc_norm,none": 0.5870344552877913,
|
||||
"acc_norm_stderr,none": 0.004913604782665858
|
||||
},
|
||||
"lambada_openai": {
|
||||
"perplexity,none": 4.911988887150992,
|
||||
"perplexity_stderr,none": 0.12302146370246485,
|
||||
"acc,none": 0.6343877352998254,
|
||||
"acc_stderr,none": 0.006709649590864073
|
||||
},
|
||||
"openbookqa": {
|
||||
"acc,none": 0.254,
|
||||
"acc_stderr,none": 0.01948659680164338,
|
||||
"acc_norm,none": 0.37,
|
||||
"acc_norm_stderr,none": 0.021613289165165785
|
||||
},
|
||||
"piqa": {
|
||||
"acc,none": 0.7448313384113167,
|
||||
"acc_stderr,none": 0.010171571592521822,
|
||||
"acc_norm,none": 0.7404787812840044,
|
||||
"acc_norm_stderr,none": 0.01022793988817392
|
||||
},
|
||||
"sciq": {
|
||||
"acc,none": 0.872,
|
||||
"acc_stderr,none": 0.010570133761108656,
|
||||
"acc_norm,none": 0.801,
|
||||
"acc_norm_stderr,none": 0.012631649083099182
|
||||
},
|
||||
"wikitext": {
|
||||
"word_perplexity,none": 20.722018295590285,
|
||||
"byte_perplexity,none": 1.6482397447214083,
|
||||
"bits_per_byte,none": 0.720926104999623
|
||||
},
|
||||
"winogrande": {
|
||||
"acc,none": 0.5887924230465666,
|
||||
"acc_stderr,none": 0.013829128358676862
|
||||
}
|
||||
},
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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",
|
||||
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
||||
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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": 0,
|
||||
"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",
|
||||
"doc_to_text": "",
|
||||
"doc_to_target": "<function wikitext_detokenizer at 0x7faa07711120>",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"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 0x7faa07711360>",
|
||||
"doc_to_target": "<function doc_to_target at 0x7faa077116c0>",
|
||||
"doc_to_choice": "<function doc_to_choice at 0x7faa07711a20>",
|
||||
"description": "",
|
||||
"target_delimiter": " ",
|
||||
"fewshot_delimiter": "\n\n",
|
||||
"num_fewshot": 0,
|
||||
"metric_list": [
|
||||
{
|
||||
"metric": "acc",
|
||||
"aggregation": "mean",
|
||||
"higher_is_better": true
|
||||
}
|
||||
],
|
||||
"output_type": "multiple_choice",
|
||||
"repeats": 1,
|
||||
"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=lomahony/eleuther-pythia2.8b-hh-sft",
|
||||
"batch_size": "16",
|
||||
"batch_sizes": [],
|
||||
"device": null,
|
||||
"use_cache": null,
|
||||
"limit": null,
|
||||
"bootstrap_iters": 100000
|
||||
},
|
||||
"git_hash": "d1a44c8"
|
||||
}
|
||||
24
sft-2.8b-eval-files/sft-pythia-2.8b-5shot-shelloutput.txt
Normal file
24
sft-2.8b-eval-files/sft-pythia-2.8b-5shot-shelloutput.txt
Normal file
@@ -0,0 +1,24 @@
|
||||
bootstrapping for stddev: perplexity
|
||||
hf (pretrained=lomahony/eleuther-pythia2.8b-hh-sft), limit: None, num_fewshot: 5, batch_size: 8
|
||||
| Task |Version|Filter| Metric | Value | |Stderr|
|
||||
|--------------|-------|------|---------------|------:|---|-----:|
|
||||
|arc_challenge |Yaml |none |acc | 0.3319|± |0.0138|
|
||||
| | |none |acc_norm | 0.3584|± |0.0140|
|
||||
|arc_easy |Yaml |none |acc | 0.6839|± |0.0095|
|
||||
| | |none |acc_norm | 0.6843|± |0.0095|
|
||||
|boolq |Yaml |none |acc | 0.6700|± |0.0082|
|
||||
|hellaswag |Yaml |none |acc | 0.4509|± |0.0050|
|
||||
| | |none |acc_norm | 0.5901|± |0.0049|
|
||||
|lambada_openai|Yaml |none |perplexity | 6.5403|± |0.1706|
|
||||
| | |none |acc | 0.5758|± |0.0069|
|
||||
|openbookqa |Yaml |none |acc | 0.2560|± |0.0195|
|
||||
| | |none |acc_norm | 0.3580|± |0.0215|
|
||||
|piqa |Yaml |none |acc | 0.7486|± |0.0101|
|
||||
| | |none |acc_norm | 0.7421|± |0.0102|
|
||||
|sciq |Yaml |none |acc | 0.9410|± |0.0075|
|
||||
| | |none |acc_norm | 0.9370|± |0.0077|
|
||||
|wikitext |Yaml |none |word_perplexity|20.7220| | |
|
||||
| | |none |byte_perplexity| 1.6482| | |
|
||||
| | |none |bits_per_byte | 0.7209| | |
|
||||
|winogrande |Yaml |none |acc | 0.5904|± |0.0138|
|
||||
|
||||
404
sft-2.8b-eval-files/sft-pythia-2.8b-5shot/results.json
Normal file
404
sft-2.8b-eval-files/sft-pythia-2.8b-5shot/results.json
Normal file
@@ -0,0 +1,404 @@
|
||||
{
|
||||
"results": {
|
||||
"arc_challenge": {
|
||||
"acc,none": 0.3319112627986348,
|
||||
"acc_stderr,none": 0.013760988200880536,
|
||||
"acc_norm,none": 0.3583617747440273,
|
||||
"acc_norm_stderr,none": 0.014012883334859862
|
||||
},
|
||||
"arc_easy": {
|
||||
"acc,none": 0.6839225589225589,
|
||||
"acc_stderr,none": 0.009540440071928283,
|
||||
"acc_norm,none": 0.6843434343434344,
|
||||
"acc_norm_stderr,none": 0.009537019245566084
|
||||
},
|
||||
"boolq": {
|
||||
"acc,none": 0.6700305810397553,
|
||||
"acc_stderr,none": 0.008223878741654847
|
||||
},
|
||||
"hellaswag": {
|
||||
"acc,none": 0.4509061939852619,
|
||||
"acc_stderr,none": 0.004965670398127348,
|
||||
"acc_norm,none": 0.5901214897430791,
|
||||
"acc_norm_stderr,none": 0.004908059353503842
|
||||
},
|
||||
"lambada_openai": {
|
||||
"perplexity,none": 6.540250350436668,
|
||||
"perplexity_stderr,none": 0.17057269700844382,
|
||||
"acc,none": 0.5757810983892878,
|
||||
"acc_stderr,none": 0.006885504751619328
|
||||
},
|
||||
"openbookqa": {
|
||||
"acc,none": 0.256,
|
||||
"acc_stderr,none": 0.019536923574747605,
|
||||
"acc_norm,none": 0.358,
|
||||
"acc_norm_stderr,none": 0.021461434862859115
|
||||
},
|
||||
"piqa": {
|
||||
"acc,none": 0.7486398258977149,
|
||||
"acc_stderr,none": 0.010121156016819257,
|
||||
"acc_norm,none": 0.7421109902067464,
|
||||
"acc_norm_stderr,none": 0.010206956662056257
|
||||
},
|
||||
"sciq": {
|
||||
"acc,none": 0.941,
|
||||
"acc_stderr,none": 0.007454835650406723,
|
||||
"acc_norm,none": 0.937,
|
||||
"acc_norm_stderr,none": 0.007687007876286444
|
||||
},
|
||||
"wikitext": {
|
||||
"word_perplexity,none": 20.722018295590285,
|
||||
"byte_perplexity,none": 1.6482397447214083,
|
||||
"bits_per_byte,none": 0.720926104999623
|
||||
},
|
||||
"winogrande": {
|
||||
"acc,none": 0.590370955011839,
|
||||
"acc_stderr,none": 0.013821049109655478
|
||||
}
|
||||
},
|
||||
"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",
|
||||
"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",
|
||||
"doc_to_text": "",
|
||||
"doc_to_target": "<function wikitext_detokenizer at 0x7fbe1b3e5120>",
|
||||
"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 0x7fbe1b3e5360>",
|
||||
"doc_to_target": "<function doc_to_target at 0x7fbe1b3e56c0>",
|
||||
"doc_to_choice": "<function doc_to_choice at 0x7fbe1b3e5a20>",
|
||||
"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": 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=lomahony/eleuther-pythia2.8b-hh-sft",
|
||||
"batch_size": "8",
|
||||
"batch_sizes": [],
|
||||
"device": null,
|
||||
"use_cache": null,
|
||||
"limit": null,
|
||||
"bootstrap_iters": 100000
|
||||
},
|
||||
"git_hash": "d1a44c8"
|
||||
}
|
||||
5
special_tokens_map.json
Normal file
5
special_tokens_map.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
100528
tokenizer.json
Normal file
100528
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
9
tokenizer_config.json
Normal file
9
tokenizer_config.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"bos_token": "<|endoftext|>",
|
||||
"eos_token": "<|endoftext|>",
|
||||
"name_or_path": "EleutherAI/gpt-neox-20b",
|
||||
"special_tokens_map_file": "/admin/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/4e49eadb5d14bd22f314ec3f45b69a87b88c7691/special_tokens_map.json",
|
||||
"tokenizer_class": "GPTNeoXTokenizer",
|
||||
"unk_token": "<|endoftext|>"
|
||||
}
|
||||
Reference in New Issue
Block a user