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update model card README.md

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@@ -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 [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: 4.0205
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- - Bleu: 0.5374
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- - Gen Len: 13.665
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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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 | 55 | 4.4955 | 0.3076 | 17.3941 |
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- | No log | 2.0 | 110 | 4.3058 | 0.3156 | 17.0246 |
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- | No log | 3.0 | 165 | 4.2148 | 0.5398 | 14.8128 |
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- | No log | 4.0 | 220 | 4.1636 | 0.4959 | 14.069 |
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- | No log | 5.0 | 275 | 4.1297 | 0.5139 | 13.9557 |
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- | No log | 6.0 | 330 | 4.1066 | 0.5229 | 14.2906 |
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- | No log | 7.0 | 385 | 4.0838 | 0.5232 | 14.3005 |
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- | No log | 8.0 | 440 | 4.0668 | 0.5211 | 14.2217 |
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- | No log | 9.0 | 495 | 4.0554 | 0.5184 | 14.2512 |
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- | 4.4686 | 10.0 | 550 | 4.0436 | 0.6523 | 14.0296 |
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- | 4.4686 | 11.0 | 605 | 4.0366 | 0.5346 | 13.7291 |
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- | 4.4686 | 12.0 | 660 | 4.0295 | 0.5335 | 13.6946 |
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- | 4.4686 | 13.0 | 715 | 4.0244 | 0.535 | 13.6798 |
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- | 4.4686 | 14.0 | 770 | 4.0213 | 0.5367 | 13.6798 |
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- | 4.4686 | 15.0 | 825 | 4.0205 | 0.5374 | 13.665 |
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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: 5.0757
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+ - Bleu: 2.1864
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+ - Gen Len: 11.867
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.002
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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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 | 55 | 3.7998 | 1.6168 | 13.0394 |
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+ | No log | 2.0 | 110 | 3.6119 | 0.7534 | 13.2315 |
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+ | No log | 3.0 | 165 | 3.6447 | 0.6867 | 13.0443 |
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+ | No log | 4.0 | 220 | 3.7115 | 1.0019 | 12.0148 |
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+ | No log | 5.0 | 275 | 3.8782 | 1.3715 | 13.2217 |
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+ | No log | 6.0 | 330 | 4.0107 | 1.7444 | 11.266 |
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+ | No log | 7.0 | 385 | 4.1611 | 2.7707 | 11.665 |
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+ | No log | 8.0 | 440 | 4.3828 | 3.0123 | 12.0985 |
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+ | No log | 9.0 | 495 | 4.5123 | 3.0296 | 12.6502 |
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+ | 2.3706 | 10.0 | 550 | 4.6470 | 2.3476 | 11.8768 |
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+ | 2.3706 | 11.0 | 605 | 4.8186 | 2.0611 | 12.1182 |
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+ | 2.3706 | 12.0 | 660 | 4.8997 | 2.173 | 11.6995 |
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+ | 2.3706 | 13.0 | 715 | 4.9742 | 2.2424 | 12.1576 |
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+ | 2.3706 | 14.0 | 770 | 5.0570 | 2.0142 | 12.2611 |
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+ | 2.3706 | 15.0 | 825 | 5.0757 | 2.1864 | 11.867 |
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  ### Framework versions