| [ | |
| { | |
| "title": "WikiFact", | |
| "header": [ | |
| { | |
| "value": "Model", | |
| "markdown": false, | |
| "metadata": {} | |
| }, | |
| { | |
| "value": "EM", | |
| "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.", | |
| "markdown": false, | |
| "lower_is_better": false, | |
| "metadata": { | |
| "metric": "EM", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "Denoised inference time (s)", | |
| "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.", | |
| "markdown": false, | |
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| "metadata": { | |
| "metric": "Denoised inference time (s)", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# 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, | |
| "metadata": { | |
| "metric": "# eval", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# train", | |
| "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# train: Number of training instances (e.g., in-context examples).", | |
| "markdown": false, | |
| "metadata": { | |
| "metric": "# train", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "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).", | |
| "markdown": false, | |
| "metadata": { | |
| "metric": "truncated", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# prompt 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# prompt tokens: Number of tokens in the prompt.", | |
| "markdown": false, | |
| "metadata": { | |
| "metric": "# prompt tokens", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# 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": { | |
| "metric": "# output tokens", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# trials", | |
| "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": { | |
| "metric": "# trials", | |
| "run_group": "WikiFact" | |
| } | |
| } | |
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| { | |
| "value": "EleutherAI/pythia-2.8b", | |
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| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
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| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
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| "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b" | |
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| { | |
| "description": "10 matching runs, but no matching metrics", | |
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| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b", | |
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| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b", | |
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| "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b" | |
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| "value": 83.9422429501836, | |
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| "run_spec_names": [ | |
| "wikifact:k=5,subject=author,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b" | |
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| "value": 7.866394763735883, | |
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| "wikifact:k=5,subject=author,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b" | |
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| "value": 1.0, | |
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| "wikifact:k=5,subject=author,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=currency,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=discoverer_or_inventor,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=instance_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=medical_condition_treated,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=part_of,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=place_of_birth,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=plaintiff,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=position_held,model=EleutherAI_pythia-2.8b", | |
| "wikifact:k=5,subject=symptoms_and_signs,model=EleutherAI_pythia-2.8b" | |
| ] | |
| } | |
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| ], | |
| "links": [ | |
| { | |
| "text": "LaTeX", | |
| "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/latex/wikifact_wikifact.tex" | |
| }, | |
| { | |
| "text": "JSON", | |
| "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/json/wikifact_wikifact.json" | |
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| ], | |
| "name": "wikifact" | |
| }, | |
| { | |
| "title": "subject: author", | |
| "header": [ | |
| { | |
| "value": "Model", | |
| "markdown": false, | |
| "metadata": {} | |
| }, | |
| { | |
| "value": "EM", | |
| "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.", | |
| "markdown": false, | |
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| "metadata": { | |
| "metric": "EM", | |
| "run_group": "WikiFact" | |
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| }, | |
| { | |
| "value": "Denoised inference time (s)", | |
| "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.", | |
| "markdown": false, | |
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| "metadata": { | |
| "metric": "Denoised inference time (s)", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# 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, | |
| "metadata": { | |
| "metric": "# eval", | |
| "run_group": "WikiFact" | |
| } | |
| }, | |
| { | |
| "value": "# train", | |
| "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# train: Number of training instances (e.g., in-context examples).", | |
| "markdown": false, | |
| "metadata": { | |
| "metric": "# train", | |
| "run_group": "WikiFact" | |
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| { | |
| "value": "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).", | |
| "markdown": false, | |
| "metadata": { | |
| "metric": "truncated", | |
| "run_group": "WikiFact" | |
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| }, | |
| { | |
| "value": "# prompt 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# prompt tokens: Number of tokens in the prompt.", | |
| "markdown": false, | |
| "metadata": { | |
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| "run_group": "WikiFact" | |
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| { | |
| "value": "# 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, | |
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| { | |
| "value": "# trials", | |
| "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": "1 matching runs, but no matching metrics", | |
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| "links": [ | |
| { | |
| "text": "LaTeX", | |
| "href": "benchmark_output/runs/classic_pythia-2.8b-step2/groups/latex/wikifact_wikifact_subject:author.tex" | |
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| { | |
| "text": "JSON", | |
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| { | |
| "title": "subject: currency", | |
| "header": [ | |
| { | |
| "value": "Model", | |
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| "metadata": {} | |
| }, | |
| { | |
| "value": "EM", | |
| "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nQuasi-exact match: Fraction of instances that the predicted output matches a correct reference up to light processing.", | |
| "markdown": false, | |
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| "metadata": { | |
| "metric": "EM", | |
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| }, | |
| { | |
| "value": "Denoised inference time (s)", | |
| "description": "Scenario introduced in this work, inspired by [Petroni et al. (2019)](https://aclanthology.org/D19-1250/), to more extensively test factual knowledge.\n\nDenoised inference runtime (s): Average time to process a request to the model minus performance contention by using profiled runtimes from multiple trials of SyntheticEfficiencyScenario.", | |
| "markdown": false, | |
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| "metadata": { | |
| "metric": "Denoised inference time (s)", | |
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| } | |
| }, | |
| { | |
| "value": "# 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.", | |
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| "metric": "# eval", | |
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| } | |
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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# train: Number of training instances (e.g., in-context examples).", | |
| "markdown": false, | |
| "metadata": { | |
| "metric": "# train", | |
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| { | |
| "value": "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).", | |
| "markdown": false, | |
| "metadata": { | |
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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# prompt tokens: Number of tokens in the prompt.", | |
| "markdown": false, | |
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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# output tokens: Actual number of output tokens.", | |
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