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update model card README.md

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@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.8396
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- - Nl2bash M: 0.7562
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- - Gen Len: 12.0952
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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- | No log | 1.0 | 126 | 1.3974 | 0.4735 | 12.4603 |
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- | No log | 2.0 | 252 | 1.1782 | 0.5792 | 11.7381 |
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- | No log | 3.0 | 378 | 1.0563 | 0.6427 | 12.0675 |
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- | 1.3402 | 4.0 | 504 | 0.9750 | 0.6694 | 12.1905 |
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- | 1.3402 | 5.0 | 630 | 0.9303 | 0.7065 | 11.7381 |
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- | 1.3402 | 6.0 | 756 | 0.8894 | 0.729 | 11.9365 |
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- | 1.3402 | 7.0 | 882 | 0.8664 | 0.7425 | 11.9444 |
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- | 0.8881 | 8.0 | 1008 | 0.8495 | 0.752 | 12.0397 |
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- | 0.8881 | 9.0 | 1134 | 0.8410 | 0.7568 | 12.131 |
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- | 0.8881 | 10.0 | 1260 | 0.8396 | 0.7562 | 12.0952 |
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  ### Framework versions
 
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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: 0.8142
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+ - Nl2bash M: 0.7744
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+ - Gen Len: 13.0248
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | No log | 1.0 | 121 | 1.3408 | 0.4894 | 12.2107 |
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+ | No log | 2.0 | 242 | 1.0982 | 0.6267 | 13.2562 |
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+ | No log | 3.0 | 363 | 1.0017 | 0.6973 | 13.0207 |
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+ | No log | 4.0 | 484 | 0.9301 | 0.7292 | 12.6818 |
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+ | 1.3353 | 5.0 | 605 | 0.8890 | 0.749 | 12.9752 |
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+ | 1.3353 | 6.0 | 726 | 0.8643 | 0.7611 | 12.9711 |
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+ | 1.3353 | 7.0 | 847 | 0.8370 | 0.7749 | 12.8471 |
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+ | 1.3353 | 8.0 | 968 | 0.8265 | 0.7701 | 12.9174 |
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+ | 0.887 | 9.0 | 1089 | 0.8162 | 0.7768 | 13.0289 |
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+ | 0.887 | 10.0 | 1210 | 0.8142 | 0.7744 | 13.0248 |
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  ### Framework versions