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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: 0.8142
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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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@@ -41,22 +41,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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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
 
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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: 0.9899
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+ - Nl2bash M: 0.6953
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+ - Gen Len: 13.0909
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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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 | 1.3618 | 0.4686 | 12.2562 |
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+ | No log | 2.0 | 242 | 1.1341 | 0.6049 | 12.8967 |
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+ | No log | 3.0 | 363 | 1.0489 | 0.6468 | 13.0909 |
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+ | No log | 4.0 | 484 | 1.0048 | 0.684 | 13.0661 |
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+ | 1.3783 | 5.0 | 605 | 0.9899 | 0.6953 | 13.0909 |
 
 
 
 
 
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  ### Framework versions