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End of training

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README.md CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2583
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- - Bleu: 5.4572
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- - Gen Len: 16.7742
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | No log | 1.0 | 114 | 2.4430 | 4.6333 | 16.5434 |
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- | No log | 2.0 | 228 | 2.3997 | 5.0426 | 16.397 |
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- | No log | 3.0 | 342 | 2.3420 | 5.4095 | 16.4839 |
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- | No log | 4.0 | 456 | 2.3057 | 5.1802 | 16.5782 |
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- | 2.7713 | 5.0 | 570 | 2.2985 | 5.6607 | 16.5831 |
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- | 2.7713 | 6.0 | 684 | 2.2824 | 5.5811 | 16.5757 |
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- | 2.7713 | 7.0 | 798 | 2.2759 | 6.1988 | 16.7221 |
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- | 2.7713 | 8.0 | 912 | 2.2611 | 5.6654 | 16.7097 |
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- | 2.5304 | 9.0 | 1026 | 2.2586 | 5.839 | 16.8065 |
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- | 2.5304 | 10.0 | 1140 | 2.2583 | 5.4572 | 16.7742 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2898
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+ - Bleu: 5.3699
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+ - Gen Len: 16.6005
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | No log | 1.0 | 114 | 2.7730 | 3.0092 | 15.861 |
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+ | No log | 2.0 | 228 | 2.5655 | 3.9211 | 16.0397 |
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+ | No log | 3.0 | 342 | 2.4573 | 4.7281 | 16.4218 |
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+ | No log | 4.0 | 456 | 2.3735 | 5.0843 | 16.2531 |
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+ | 3.5284 | 5.0 | 570 | 2.3490 | 5.7483 | 16.5533 |
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+ | 3.5284 | 6.0 | 684 | 2.3254 | 5.6331 | 16.4963 |
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+ | 3.5284 | 7.0 | 798 | 2.3095 | 5.6877 | 16.6898 |
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+ | 3.5284 | 8.0 | 912 | 2.2949 | 5.6496 | 16.5583 |
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+ | 2.6344 | 9.0 | 1026 | 2.2913 | 5.4792 | 16.6452 |
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+ | 2.6344 | 10.0 | 1140 | 2.2898 | 5.3699 | 16.6005 |
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  ### Framework versions
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