bootstrapping for stddev: perplexity
{
  "results": {
    "arc_challenge": {
      "acc,none": 0.20563139931740615,
      "acc_stderr,none": 0.011810745260742547,
      "acc_norm,none": 0.24744027303754265,
      "acc_norm_stderr,none": 0.01261035266329267
    },
    "arc_easy": {
      "acc,none": 0.46380471380471383,
      "acc_stderr,none": 0.01023286555034674,
      "acc_norm,none": 0.4385521885521885,
      "acc_norm_stderr,none": 0.010182010275471116
    },
    "boolq": {
      "acc,none": 0.6055045871559633,
      "acc_stderr,none": 0.008548152025770934
    },
    "hellaswag": {
      "acc,none": 0.2885879306910974,
      "acc_stderr,none": 0.004521798577922137,
      "acc_norm,none": 0.3088030272854013,
      "acc_norm_stderr,none": 0.004610554974411229
    },
    "lambada_openai": {
      "perplexity,none": 68.78788187981594,
      "perplexity_stderr,none": 3.3418985414978897,
      "acc,none": 0.2815835435668543,
      "acc_stderr,none": 0.006266194106395877
    },
    "openbookqa": {
      "acc,none": 0.158,
      "acc_stderr,none": 0.01632804980457984,
      "acc_norm,none": 0.254,
      "acc_norm_stderr,none": 0.019486596801643368
    },
    "piqa": {
      "acc,none": 0.6284004352557128,
      "acc_stderr,none": 0.011274603006724757,
      "acc_norm,none": 0.6332970620239391,
      "acc_norm_stderr,none": 0.01124362501903826
    },
    "sciq": {
      "acc,none": 0.76,
      "acc_stderr,none": 0.013512312258920836,
      "acc_norm,none": 0.737,
      "acc_norm_stderr,none": 0.013929286594259724
    },
    "wikitext": {
      "word_perplexity,none": 75.24993841350984,
      "byte_perplexity,none": 2.0386909133746456,
      "bits_per_byte,none": 1.0276430644458452
    },
    "winogrande": {
      "acc,none": 0.5138121546961326,
      "acc_stderr,none": 0.014047122916440419
    }
  },
  "configs": {
    "arc_challenge": {
      "task": "arc_challenge",
      "group": [
        "ai2_arc",
        "multiple_choice"
      ],
      "dataset_path": "ai2_arc",
      "dataset_name": "ARC-Challenge",
      "training_split": "train",
      "validation_split": "validation",
      "test_split": "test",
      "doc_to_text": "Question: {{question}}\nAnswer:",
      "doc_to_target": "{{choices.label.index(answerKey)}}",
      "doc_to_choice": "{{choices.text}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        },
        {
          "metric": "acc_norm",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
    },
    "arc_easy": {
      "task": "arc_easy",
      "group": [
        "ai2_arc",
        "multiple_choice"
      ],
      "dataset_path": "ai2_arc",
      "dataset_name": "ARC-Easy",
      "training_split": "train",
      "validation_split": "validation",
      "test_split": "test",
      "doc_to_text": "Question: {{question}}\nAnswer:",
      "doc_to_target": "{{choices.label.index(answerKey)}}",
      "doc_to_choice": "{{choices.text}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        },
        {
          "metric": "acc_norm",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
    },
    "boolq": {
      "task": "boolq",
      "group": [
        "super-glue-lm-eval-v1"
      ],
      "dataset_path": "super_glue",
      "dataset_name": "boolq",
      "training_split": "train",
      "validation_split": "validation",
      "doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
      "doc_to_target": "label",
      "doc_to_choice": [
        "no",
        "yes"
      ],
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc"
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "passage"
    },
    "hellaswag": {
      "task": "hellaswag",
      "group": [
        "multiple_choice"
      ],
      "dataset_path": "hellaswag",
      "training_split": "train",
      "validation_split": "validation",
      "doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace('  ', ' ')}}",
      "doc_to_target": "{{label}}",
      "doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', '  ', ' ')|list}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        },
        {
          "metric": "acc_norm",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false
    },
    "lambada_openai": {
      "task": "lambada_openai",
      "group": [
        "lambada",
        "loglikelihood",
        "perplexity"
      ],
      "dataset_path": "EleutherAI/lambada_openai",
      "dataset_name": "default",
      "test_split": "test",
      "template_aliases": "",
      "doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
      "doc_to_target": "{{' '+text.split(' ')[-1]}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "perplexity",
          "aggregation": "perplexity",
          "higher_is_better": false
        },
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "loglikelihood",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "{{text}}"
    },
    "openbookqa": {
      "task": "openbookqa",
      "group": [
        "multiple_choice"
      ],
      "dataset_path": "openbookqa",
      "dataset_name": "main",
      "training_split": "train",
      "validation_split": "validation",
      "test_split": "test",
      "doc_to_text": "question_stem",
      "doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
      "doc_to_choice": "{{choices.text}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        },
        {
          "metric": "acc_norm",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "question_stem"
    },
    "piqa": {
      "task": "piqa",
      "group": [
        "multiple_choice"
      ],
      "dataset_path": "piqa",
      "training_split": "train",
      "validation_split": "validation",
      "doc_to_text": "Question: {{goal}}\nAnswer:",
      "doc_to_target": "label",
      "doc_to_choice": "{{[sol1, sol2]}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        },
        {
          "metric": "acc_norm",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "goal"
    },
    "sciq": {
      "task": "sciq",
      "group": [
        "multiple_choice"
      ],
      "dataset_path": "sciq",
      "training_split": "train",
      "validation_split": "validation",
      "test_split": "test",
      "doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
      "doc_to_target": 3,
      "doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        },
        {
          "metric": "acc_norm",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": true,
      "doc_to_decontamination_query": "{{support}} {{question}}"
    },
    "wikitext": {
      "task": "wikitext",
      "group": [
        "perplexity",
        "loglikelihood_rolling"
      ],
      "dataset_path": "EleutherAI/wikitext_document_level",
      "dataset_name": "wikitext-2-raw-v1",
      "training_split": "train",
      "validation_split": "validation",
      "test_split": "test",
      "template_aliases": "",
      "doc_to_text": "",
      "doc_to_target": "<function wikitext_detokenizer at 0x7ff6ce1e4040>",
      "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 0x7ff6ce1b6ef0>",
      "doc_to_target": "<function doc_to_target at 0x7ff6ce1b7370>",
      "doc_to_choice": "<function doc_to_choice at 0x7ff6ce1b75b0>",
      "description": "",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false
    }
  },
  "versions": {
    "arc_challenge": "Yaml",
    "arc_easy": "Yaml",
    "boolq": "Yaml",
    "hellaswag": "Yaml",
    "lambada_openai": "Yaml",
    "openbookqa": "Yaml",
    "piqa": "Yaml",
    "sciq": "Yaml",
    "wikitext": "Yaml",
    "winogrande": "Yaml"
  },
  "config": {
    "model": "hf",
    "model_args": "pretrained=lomahony/eleuther-pythia160m-hh-dpo",
    "num_fewshot": 5,
    "batch_size": 16,
    "batch_sizes": [],
    "device": "cuda:0",
    "use_cache": null,
    "limit": null,
    "bootstrap_iters": 100000
  },
  "git_hash": "4e44f0a"
}
hf (pretrained=lomahony/eleuther-pythia160m-hh-dpo), limit: None, num_fewshot: 5, batch_size: 16
|     Task     |Version|Filter|    Metric     | Value |   |Stderr|
|--------------|-------|------|---------------|------:|---|-----:|
|arc_challenge |Yaml   |none  |acc            | 0.2056|±  |0.0118|
|              |       |none  |acc_norm       | 0.2474|±  |0.0126|
|arc_easy      |Yaml   |none  |acc            | 0.4638|±  |0.0102|
|              |       |none  |acc_norm       | 0.4386|±  |0.0102|
|boolq         |Yaml   |none  |acc            | 0.6055|±  |0.0085|
|hellaswag     |Yaml   |none  |acc            | 0.2886|±  |0.0045|
|              |       |none  |acc_norm       | 0.3088|±  |0.0046|
|lambada_openai|Yaml   |none  |perplexity     |68.7879|±  |3.3419|
|              |       |none  |acc            | 0.2816|±  |0.0063|
|openbookqa    |Yaml   |none  |acc            | 0.1580|±  |0.0163|
|              |       |none  |acc_norm       | 0.2540|±  |0.0195|
|piqa          |Yaml   |none  |acc            | 0.6284|±  |0.0113|
|              |       |none  |acc_norm       | 0.6333|±  |0.0112|
|sciq          |Yaml   |none  |acc            | 0.7600|±  |0.0135|
|              |       |none  |acc_norm       | 0.7370|±  |0.0139|
|wikitext      |Yaml   |none  |word_perplexity|75.2499|   |      |
|              |       |none  |byte_perplexity| 2.0387|   |      |
|              |       |none  |bits_per_byte  | 1.0276|   |      |
|winogrande    |Yaml   |none  |acc            | 0.5138|±  |0.0140|