classic_pythia-2.8b-step2000/groups/knowledge.json

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        "lower_is_better": true,
        "metadata": {
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          "description": "No matching runs",
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          "description": "No matching runs",
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    "title": "Toxicity",
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        "metadata": {}
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        "lower_is_better": true,
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    "links": [
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        "text": "LaTeX",
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          "markdown": false
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        "markdown": false,
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        "markdown": false,
        "metadata": {
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        "markdown": false,
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        "markdown": false,
        "metadata": {
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      {
        "value": "HellaSwag - truncated",
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        "markdown": false,
        "metadata": {
          "metric": "truncated",
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      {
        "value": "HellaSwag - # prompt tokens",
        "description": "The HellaSwag benchmark for commonsense reasoning in question answering [(Zellers et al., 2019)](https://aclanthology.org/P19-1472/).\n\n# prompt tokens: Number of tokens in the prompt.",
        "markdown": false,
        "metadata": {
          "metric": "# prompt tokens",
          "run_group": "HellaSwag"
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        "value": "HellaSwag - # output tokens",
        "description": "The HellaSwag benchmark for commonsense reasoning in question answering [(Zellers et al., 2019)](https://aclanthology.org/P19-1472/).\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
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        "value": "HellaSwag - # trials",
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        "markdown": false,
        "metadata": {
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          "run_group": "HellaSwag"
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        "value": "OpenbookQA - # eval",
        "description": "The OpenbookQA benchmark for commonsense-intensive open book question answering [(Mihaylov et al., 2018)](https://aclanthology.org/D18-1260/).\n\n# eval: Number of evaluation instances.",
        "markdown": false,
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        "description": "The OpenbookQA benchmark for commonsense-intensive open book question answering [(Mihaylov et al., 2018)](https://aclanthology.org/D18-1260/).\n\n# prompt tokens: Number of tokens in the prompt.",
        "markdown": false,
        "metadata": {
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        "value": "OpenbookQA - # output tokens",
        "description": "The OpenbookQA benchmark for commonsense-intensive open book question answering [(Mihaylov et al., 2018)](https://aclanthology.org/D18-1260/).\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
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        "markdown": false,
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        "markdown": false,
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        "description": "The TruthfulQA benchmarking for measuring model truthfulness and commonsense knowledge in question answering [(Lin et al., 2022)](https://aclanthology.org/2022.acl-long.229/).\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
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        "description": "The TruthfulQA benchmarking for measuring model truthfulness and commonsense knowledge in question answering [(Lin et al., 2022)](https://aclanthology.org/2022.acl-long.229/).\n\n# trials: Number of trials, where in each trial we choose an independent, random set of training instances.",
        "markdown": false,
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        "markdown": false,
        "metadata": {
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      },
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        "value": "MMLU - # train",
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        "markdown": false,
        "metadata": {
          "metric": "# train",
          "run_group": "MMLU"
        }
      },
      {
        "value": "MMLU - truncated",
        "description": "The Massive Multitask Language Understanding (MMLU) benchmark for knowledge-intensive question answering across 57 domains [(Hendrycks et al., 2021)](https://openreview.net/forum?id=d7KBjmI3GmQ).\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).",
        "markdown": false,
        "metadata": {
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          "run_group": "MMLU"
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      },
      {
        "value": "MMLU - # prompt tokens",
        "description": "The Massive Multitask Language Understanding (MMLU) benchmark for knowledge-intensive question answering across 57 domains [(Hendrycks et al., 2021)](https://openreview.net/forum?id=d7KBjmI3GmQ).\n\n# prompt tokens: Number of tokens in the prompt.",
        "markdown": false,
        "metadata": {
          "metric": "# prompt tokens",
          "run_group": "MMLU"
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      {
        "value": "MMLU - # output tokens",
        "description": "The Massive Multitask Language Understanding (MMLU) benchmark for knowledge-intensive question answering across 57 domains [(Hendrycks et al., 2021)](https://openreview.net/forum?id=d7KBjmI3GmQ).\n\n# output tokens: Actual number of output tokens.",
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        "markdown": false,
        "metadata": {
          "metric": "# trials",
          "run_group": "MMLU"
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      },
      {
        "value": "WikiFact - # eval",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# eval: Number of evaluation instances.",
        "markdown": false,
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        "markdown": false,
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      {
        "value": "WikiFact - truncated",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\ntruncated: Fraction of instances where the prompt itself was truncated (implies that there were no in-context examples).",
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        "markdown": false,
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      {
        "value": "WikiFact - # output tokens",
        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# output tokens: Actual number of output tokens.",
        "markdown": false,
        "metadata": {
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          "run_group": "WikiFact"
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      {
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        "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\n# trials: Number of trials, where in each trial we choose an independent, random set of training instances.",
        "markdown": false,
        "metadata": {
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          "description": "No matching runs",
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        {
          "description": "No matching runs",
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        {
          "description": "No matching runs",
          "markdown": false
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          "description": "No matching runs",
          "markdown": false
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          "description": "No matching runs",
          "markdown": false
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