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update model card README.md

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@@ -14,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-small-finetuned-English-to-BASH
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8636
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- - Bleu: 7.596
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- - Gen Len: 10.9583
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  ## Model description
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@@ -48,18 +48,18 @@ The following hyperparameters were used during training:
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  ### Training results
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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 | 36 | 4.5228 | 1.4354 | 14.6667 |
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- | No log | 2.0 | 72 | 3.9716 | 1.6709 | 14.2778 |
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- | No log | 3.0 | 108 | 3.6334 | 2.2286 | 13.0694 |
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- | No log | 4.0 | 144 | 3.3896 | 6.0617 | 11.1389 |
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- | No log | 5.0 | 180 | 3.2192 | 5.4152 | 11.1806 |
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- | No log | 6.0 | 216 | 3.0858 | 8.1953 | 10.8889 |
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- | No log | 7.0 | 252 | 2.9834 | 7.733 | 10.8333 |
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- | No log | 8.0 | 288 | 2.9188 | 7.6827 | 10.6944 |
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- | No log | 9.0 | 324 | 2.8793 | 7.6893 | 10.7361 |
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- | No log | 10.0 | 360 | 2.8636 | 7.596 | 10.9583 |
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  ### Framework versions
 
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  # t5-small-finetuned-English-to-BASH
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+ This model is a fine-tuned version of [kevinum/t5-small-finetuned-English-to-BASH](https://huggingface.co/kevinum/t5-small-finetuned-English-to-BASH) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7624
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+ - Bleu: 15.8119
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+ - Gen Len: 7.75
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  ## Model description
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  ### Training results
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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 | 36 | 2.4759 | 9.4129 | 12.8472 |
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+ | No log | 2.0 | 72 | 2.2581 | 14.8612 | 9.7639 |
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+ | No log | 3.0 | 108 | 2.0998 | 16.1955 | 8.7222 |
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+ | No log | 4.0 | 144 | 1.9945 | 14.576 | 8.4444 |
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+ | No log | 5.0 | 180 | 1.9181 | 15.4464 | 8.1806 |
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+ | No log | 6.0 | 216 | 1.8639 | 14.7446 | 7.9028 |
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+ | No log | 7.0 | 252 | 1.8185 | 14.5825 | 8.0833 |
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+ | No log | 8.0 | 288 | 1.7867 | 14.9773 | 7.9444 |
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+ | No log | 9.0 | 324 | 1.7679 | 15.8119 | 7.75 |
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+ | No log | 10.0 | 360 | 1.7624 | 15.8119 | 7.75 |
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  ### Framework versions