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Update README.md
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README.md
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@@ -66,7 +66,7 @@ According to our evaluations, Zyda is the most performant per-token open dataset
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<center>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/VdrCqypZtTpjEs7bH1k9s.png" width="
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</center>
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These results are aggregate scores of classic language modeling evaluations (PIQA, WinoGrande, OpenBookQA, ARC-Easy, ARC-Challenge) across time for a 1.4B model trained on 50B tokens of each dataset.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/eCJWG3ZoA4fVk8bZZBHaG.png" width="
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/VdrCqypZtTpjEs7bH1k9s.png" width="650" alt="Zyda performance across steps.">
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</center>
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These results are aggregate scores of classic language modeling evaluations (PIQA, WinoGrande, OpenBookQA, ARC-Easy, ARC-Challenge) across time for a 1.4B model trained on 50B tokens of each dataset.
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<center>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/eCJWG3ZoA4fVk8bZZBHaG.png" width="650" alt="Composition of Zyda">
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