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- ru |
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# FRED-T5 1.7B (Full-scale Russian Enhanced Denoisers T5) |
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Architecture based on T5. |
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It has 24 layers and 1536 hidden size. |
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Model was trained on a mixture of 7 denoisers like UL2 with several differences . |
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It trained on Russian language corpus (300GB). The dataset is the same as for ruT5 models. |
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Bbpe tokenizer. First half of the time model was trained on the small part of all datasets (1%). |
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We continue to experiment... |
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We'll tell you more and release checkpoint to the public soon. |
