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README.md
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@@ -66,12 +66,13 @@ Rather than training one model, we trained multiple models, each on a different
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# Results
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Accuracy is normalized by length and shown as a percentage.
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| Dataset
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| DCLM-1.0-Baseline
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| DOAB
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| Project Gutenberg
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The II is calculated based on these weights:
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| ARC-Easy | 1.00 | β |
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| ARC-Challenge | 0.5 | ARC-Challenge is consistently below chance at small scales, so we assign it a much lower weight. |
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| HellaSwag | 1.00 | β |
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| SWAG | 0.75 | SWAG is an easier version of HellaSwag, so we assign it a lower weight. |
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| PIQA | 1.00 | β |
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| BLiMP | 0.
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# Results
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Accuracy is normalized by length and shown as a percentage.
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| Dataset | ARC-Easy | ARC-Challenge | HellaSwag | PIQA | BLiMP | **Avg β** | **II β** |
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| :---------------- | -------: | ------------: | --------: | -----: | -----: | ---------: | ---------: |
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| FineWeb | 27.82% | 22.01% | 26.89% | 52.83% | 65.21% | **38.95%** | **37.51%** |
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| DCLM-1.0-Baseline | 29.08% | 22.41% | 27.06% | 52.23% | 66.16% | **39.39%** | **37.95%** |
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| DOAB | 31.14% | 20.99% | 28.00% | 52.18% | 62.15% | **38.89%** | **37.59%** |
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| Project Gutenberg | 25.84% | 23.04% | 24.63% | 50.21% | 64.07% | **37.56%** | **36.35%** |
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| EOT-2004-Raw | 29.08% | 21.50% | 27.54% | 51.31% | 59.92% | **37.87%** | **36.91%** |
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The II is calculated based on these weights:
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| ARC-Easy | 1.00 | β |
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| ARC-Challenge | 0.5 | ARC-Challenge is consistently below chance at small scales, so we assign it a much lower weight. |
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| HellaSwag | 1.00 | β |
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| PIQA | 1.00 | β |
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| BLiMP | 0.60 | BLiMP primarily measures grammatical correctness rather than broader reasoning ability. |
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