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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 [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0110
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  - Semantic-accuracy: 0.36
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- - Gen Len: 18.018
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  ## Model description
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@@ -48,24 +48,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Semantic-accuracy | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-------:|
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- | 0.0324 | 1.0 | 563 | 0.0191 | 0.362 | 18.018 |
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- | 0.0235 | 2.0 | 1126 | 0.0231 | 0.354 | 18.04 |
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- | 0.0233 | 3.0 | 1689 | 0.0134 | 0.372 | 18.01 |
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- | 0.0206 | 4.0 | 2252 | 0.0114 | 0.364 | 18.04 |
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- | 0.0173 | 5.0 | 2815 | 0.0121 | 0.364 | 18.042 |
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- | 0.0155 | 6.0 | 3378 | 0.0104 | 0.368 | 18.048 |
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- | 0.0139 | 7.0 | 3941 | 0.0103 | 0.364 | 18.016 |
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- | 0.0143 | 8.0 | 4504 | 0.0100 | 0.362 | 18.026 |
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- | 0.0119 | 9.0 | 5067 | 0.0098 | 0.364 | 18.032 |
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- | 0.0123 | 10.0 | 5630 | 0.0104 | 0.364 | 18.04 |
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- | 0.0109 | 11.0 | 6193 | 0.0118 | 0.364 | 18.05 |
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- | 0.0104 | 12.0 | 6756 | 0.0106 | 0.36 | 18.016 |
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- | 0.0101 | 13.0 | 7319 | 0.0102 | 0.358 | 18.02 |
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- | 0.0099 | 14.0 | 7882 | 0.0111 | 0.364 | 18.012 |
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- | 0.0091 | 15.0 | 8445 | 0.0110 | 0.362 | 18.02 |
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- | 0.0087 | 16.0 | 9008 | 0.0118 | 0.356 | 18.02 |
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- | 0.0083 | 17.0 | 9571 | 0.0106 | 0.368 | 18.016 |
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- | 0.0083 | 17.76 | 10000 | 0.0110 | 0.36 | 18.018 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0131
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  - Semantic-accuracy: 0.36
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+ - Gen Len: 18.24
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Semantic-accuracy | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-------:|
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+ | 0.2382 | 1.0 | 563 | 0.0431 | 0.322 | 18.224 |
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+ | 0.0477 | 2.0 | 1126 | 0.0229 | 0.356 | 18.236 |
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+ | 0.0305 | 3.0 | 1689 | 0.0259 | 0.34 | 18.266 |
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+ | 0.0231 | 4.0 | 2252 | 0.0204 | 0.35 | 18.238 |
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+ | 0.0197 | 5.0 | 2815 | 0.0162 | 0.352 | 18.232 |
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+ | 0.02 | 6.0 | 3378 | 0.0162 | 0.354 | 18.238 |
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+ | 0.0172 | 7.0 | 3941 | 0.0147 | 0.356 | 18.24 |
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+ | 0.0145 | 8.0 | 4504 | 0.0259 | 0.34 | 18.246 |
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+ | 0.0133 | 9.0 | 5067 | 0.0129 | 0.358 | 18.238 |
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+ | 0.0131 | 10.0 | 5630 | 0.0121 | 0.366 | 18.242 |
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+ | 0.0122 | 11.0 | 6193 | 0.0128 | 0.354 | 18.242 |
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+ | 0.0123 | 12.0 | 6756 | 0.0129 | 0.356 | 18.222 |
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+ | 0.0113 | 13.0 | 7319 | 0.0131 | 0.362 | 18.232 |
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+ | 0.0095 | 14.0 | 7882 | 0.0124 | 0.358 | 18.238 |
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+ | 0.0102 | 15.0 | 8445 | 0.0127 | 0.362 | 18.244 |
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+ | 0.0089 | 16.0 | 9008 | 0.0126 | 0.358 | 18.242 |
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+ | 0.0086 | 17.0 | 9571 | 0.0133 | 0.358 | 18.242 |
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+ | 0.0084 | 17.76 | 10000 | 0.0131 | 0.36 | 18.24 |
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  ### Framework versions