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Model: lomahony/eleuther-pythia6.9b-hh-sft Source: Original Platform
This commit is contained in:
24
sft-6.9b-eval-files/sft-pythia-6.9b-0shot-shelloutput.txt
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24
sft-6.9b-eval-files/sft-pythia-6.9b-0shot-shelloutput.txt
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bootstrapping for stddev: perplexity
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hf (pretrained=lomahony/eleuther-pythia6.9b-hh-sft), limit: None, num_fewshot: 0, batch_size: 4
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| Task |Version|Filter| Metric | Value | |Stderr|
|
||||
|--------------|-------|------|---------------|------:|---|-----:|
|
||||
|arc_challenge |Yaml |none |acc | 0.3080|± |0.0135|
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||||
| | |none |acc_norm | 0.3379|± |0.0138|
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|arc_easy |Yaml |none |acc | 0.6789|± |0.0096|
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||||
| | |none |acc_norm | 0.6048|± |0.0100|
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||||
|boolq |Yaml |none |acc | 0.6657|± |0.0083|
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|hellaswag |Yaml |none |acc | 0.4847|± |0.0050|
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||||
| | |none |acc_norm | 0.6404|± |0.0048|
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||||
|lambada_openai|Yaml |none |perplexity | 3.9049|± |0.0904|
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||||
| | |none |acc | 0.6920|± |0.0064|
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||||
|openbookqa |Yaml |none |acc | 0.2640|± |0.0197|
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||||
| | |none |acc_norm | 0.3740|± |0.0217|
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|piqa |Yaml |none |acc | 0.7601|± |0.0100|
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||||
| | |none |acc_norm | 0.7661|± |0.0099|
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||||
|sciq |Yaml |none |acc | 0.9010|± |0.0094|
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||||
| | |none |acc_norm | 0.8290|± |0.0119|
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|wikitext |Yaml |none |word_perplexity|18.0722| | |
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||||
| | |none |byte_perplexity| 1.6115| | |
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||||
| | |none |bits_per_byte | 0.6884| | |
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|winogrande |Yaml |none |acc | 0.6164|± |0.0137|
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404
sft-6.9b-eval-files/sft-pythia-6.9b-0shot/results.json
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404
sft-6.9b-eval-files/sft-pythia-6.9b-0shot/results.json
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@@ -0,0 +1,404 @@
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{
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"results": {
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||||
"arc_challenge": {
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||||
"acc,none": 0.30802047781569963,
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||||
"acc_stderr,none": 0.013491429517292038,
|
||||
"acc_norm,none": 0.3378839590443686,
|
||||
"acc_norm_stderr,none": 0.013822047922283512
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},
|
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"arc_easy": {
|
||||
"acc,none": 0.6788720538720538,
|
||||
"acc_stderr,none": 0.009580787536986797,
|
||||
"acc_norm,none": 0.6047979797979798,
|
||||
"acc_norm_stderr,none": 0.010031894052790976
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},
|
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"boolq": {
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"acc,none": 0.6657492354740061,
|
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"acc_stderr,none": 0.00825057245508343
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},
|
||||
"hellaswag": {
|
||||
"acc,none": 0.48466440948018324,
|
||||
"acc_stderr,none": 0.004987433862274563,
|
||||
"acc_norm,none": 0.6404102768372834,
|
||||
"acc_norm_stderr,none": 0.004788994060654275
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},
|
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"lambada_openai": {
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"perplexity,none": 3.9048816842205616,
|
||||
"perplexity_stderr,none": 0.0904411518306548,
|
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"acc,none": 0.6920240636522415,
|
||||
"acc_stderr,none": 0.006431778256505186
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},
|
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"openbookqa": {
|
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"acc,none": 0.264,
|
||||
"acc_stderr,none": 0.019732885585922094,
|
||||
"acc_norm,none": 0.374,
|
||||
"acc_norm_stderr,none": 0.021660710347204484
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},
|
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"piqa": {
|
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"acc,none": 0.7600652883569097,
|
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"acc_stderr,none": 0.009963625892809545,
|
||||
"acc_norm,none": 0.766050054406964,
|
||||
"acc_norm_stderr,none": 0.009877236895137463
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},
|
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"sciq": {
|
||||
"acc,none": 0.901,
|
||||
"acc_stderr,none": 0.009449248027662744,
|
||||
"acc_norm,none": 0.829,
|
||||
"acc_norm_stderr,none": 0.011912216456264583
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||||
},
|
||||
"wikitext": {
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||||
"word_perplexity,none": 18.072185827315998,
|
||||
"byte_perplexity,none": 1.6114783437385283,
|
||||
"bits_per_byte,none": 0.6883848005035924
|
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},
|
||||
"winogrande": {
|
||||
"acc,none": 0.6164167324388319,
|
||||
"acc_stderr,none": 0.01366627588953902
|
||||
}
|
||||
},
|
||||
"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
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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"
|
||||
],
|
||||
"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 0x7f5ef3dc5120>",
|
||||
"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 0x7f5ef3dc5360>",
|
||||
"doc_to_target": "<function doc_to_target at 0x7f5ef3dc56c0>",
|
||||
"doc_to_choice": "<function doc_to_choice at 0x7f5ef3dc5a20>",
|
||||
"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-pythia6.9b-hh-sft",
|
||||
"batch_size": "4",
|
||||
"batch_sizes": [],
|
||||
"device": null,
|
||||
"use_cache": null,
|
||||
"limit": null,
|
||||
"bootstrap_iters": 100000
|
||||
},
|
||||
"git_hash": "d1a44c8"
|
||||
}
|
||||
24
sft-6.9b-eval-files/sft-pythia-6.9b-5shot-shelloutput.txt
Normal file
24
sft-6.9b-eval-files/sft-pythia-6.9b-5shot-shelloutput.txt
Normal file
@@ -0,0 +1,24 @@
|
||||
bootstrapping for stddev: perplexity
|
||||
hf (pretrained=lomahony/eleuther-pythia6.9b-hh-sft), limit: None, num_fewshot: 5, batch_size: 4
|
||||
| Task |Version|Filter| Metric | Value | |Stderr|
|
||||
|--------------|-------|------|---------------|------:|---|-----:|
|
||||
|arc_challenge |Yaml |none |acc | 0.3584|± |0.0140|
|
||||
| | |none |acc_norm | 0.3848|± |0.0142|
|
||||
|arc_easy |Yaml |none |acc | 0.7104|± |0.0093|
|
||||
| | |none |acc_norm | 0.7134|± |0.0093|
|
||||
|boolq |Yaml |none |acc | 0.6664|± |0.0082|
|
||||
|hellaswag |Yaml |none |acc | 0.4829|± |0.0050|
|
||||
| | |none |acc_norm | 0.6446|± |0.0048|
|
||||
|lambada_openai|Yaml |none |perplexity | 5.0215|± |0.1228|
|
||||
| | |none |acc | 0.6385|± |0.0067|
|
||||
|openbookqa |Yaml |none |acc | 0.2760|± |0.0200|
|
||||
| | |none |acc_norm | 0.3700|± |0.0216|
|
||||
|piqa |Yaml |none |acc | 0.7688|± |0.0098|
|
||||
| | |none |acc_norm | 0.7709|± |0.0098|
|
||||
|sciq |Yaml |none |acc | 0.9520|± |0.0068|
|
||||
| | |none |acc_norm | 0.9540|± |0.0066|
|
||||
|wikitext |Yaml |none |word_perplexity|18.0722| | |
|
||||
| | |none |byte_perplexity| 1.6115| | |
|
||||
| | |none |bits_per_byte | 0.6884| | |
|
||||
|winogrande |Yaml |none |acc | 0.6156|± |0.0137|
|
||||
|
||||
404
sft-6.9b-eval-files/sft-pythia-6.9b-5shot/results.json
Normal file
404
sft-6.9b-eval-files/sft-pythia-6.9b-5shot/results.json
Normal file
@@ -0,0 +1,404 @@
|
||||
{
|
||||
"results": {
|
||||
"arc_challenge": {
|
||||
"acc,none": 0.3583617747440273,
|
||||
"acc_stderr,none": 0.014012883334859871,
|
||||
"acc_norm,none": 0.3848122866894198,
|
||||
"acc_norm_stderr,none": 0.014218371065251107
|
||||
},
|
||||
"arc_easy": {
|
||||
"acc,none": 0.7104377104377104,
|
||||
"acc_stderr,none": 0.0093068389121739,
|
||||
"acc_norm,none": 0.7133838383838383,
|
||||
"acc_norm_stderr,none": 0.009278551100969293
|
||||
},
|
||||
"boolq": {
|
||||
"acc,none": 0.6663608562691131,
|
||||
"acc_stderr,none": 0.008246805985556873
|
||||
},
|
||||
"hellaswag": {
|
||||
"acc,none": 0.48287193786098387,
|
||||
"acc_stderr,none": 0.004986852842576715,
|
||||
"acc_norm,none": 0.6445927106154152,
|
||||
"acc_norm_stderr,none": 0.004776583530909558
|
||||
},
|
||||
"lambada_openai": {
|
||||
"perplexity,none": 5.021473818972182,
|
||||
"perplexity_stderr,none": 0.12279168525921821,
|
||||
"acc,none": 0.6384630312439356,
|
||||
"acc_stderr,none": 0.006693546839258681
|
||||
},
|
||||
"openbookqa": {
|
||||
"acc,none": 0.276,
|
||||
"acc_stderr,none": 0.020011219298073528,
|
||||
"acc_norm,none": 0.37,
|
||||
"acc_norm_stderr,none": 0.021613289165165785
|
||||
},
|
||||
"piqa": {
|
||||
"acc,none": 0.7687704026115343,
|
||||
"acc_stderr,none": 0.009837063180625329,
|
||||
"acc_norm,none": 0.7709466811751904,
|
||||
"acc_norm_stderr,none": 0.009804509865175504
|
||||
},
|
||||
"sciq": {
|
||||
"acc,none": 0.952,
|
||||
"acc_stderr,none": 0.006763264133666668,
|
||||
"acc_norm,none": 0.954,
|
||||
"acc_norm_stderr,none": 0.006627814717380702
|
||||
},
|
||||
"wikitext": {
|
||||
"word_perplexity,none": 18.072185827315998,
|
||||
"byte_perplexity,none": 1.6114783437385283,
|
||||
"bits_per_byte,none": 0.6883848005035924
|
||||
},
|
||||
"winogrande": {
|
||||
"acc,none": 0.6156274664561957,
|
||||
"acc_stderr,none": 0.01367156760083619
|
||||
}
|
||||
},
|
||||
"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 0x7fed99361120>",
|
||||
"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 0x7fed99361360>",
|
||||
"doc_to_target": "<function doc_to_target at 0x7fed993616c0>",
|
||||
"doc_to_choice": "<function doc_to_choice at 0x7fed99361a20>",
|
||||
"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-pythia6.9b-hh-sft",
|
||||
"batch_size": "4",
|
||||
"batch_sizes": [],
|
||||
"device": null,
|
||||
"use_cache": null,
|
||||
"limit": null,
|
||||
"bootstrap_iters": 100000
|
||||
},
|
||||
"git_hash": "d1a44c8"
|
||||
}
|
||||
Reference in New Issue
Block a user