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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0670
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  ## Model description
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@@ -39,17 +39,32 @@ 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: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.633 | 1.0 | 75 | 1.3252 |
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- | 1.2403 | 2.0 | 150 | 1.1740 |
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- | 1.1388 | 3.0 | 225 | 1.1074 |
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- | 1.0838 | 4.0 | 300 | 1.0790 |
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- | 1.0577 | 5.0 | 375 | 1.0670 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5865
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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: 20
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.8665 | 1.0 | 2089 | 0.7441 |
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+ | 0.7336 | 2.0 | 4178 | 0.6916 |
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+ | 0.6856 | 3.0 | 6267 | 0.6632 |
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+ | 0.6559 | 4.0 | 8356 | 0.6446 |
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+ | 0.6341 | 5.0 | 10445 | 0.6322 |
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+ | 0.6169 | 6.0 | 12534 | 0.6213 |
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+ | 0.6022 | 7.0 | 14623 | 0.6138 |
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+ | 0.5896 | 8.0 | 16712 | 0.6096 |
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+ | 0.5788 | 9.0 | 18801 | 0.6037 |
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+ | 0.5692 | 10.0 | 20890 | 0.5989 |
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+ | 0.5604 | 11.0 | 22979 | 0.5965 |
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+ | 0.5528 | 12.0 | 25068 | 0.5941 |
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+ | 0.5457 | 13.0 | 27157 | 0.5915 |
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+ | 0.5392 | 14.0 | 29246 | 0.5900 |
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+ | 0.5334 | 15.0 | 31335 | 0.5879 |
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+ | 0.5285 | 16.0 | 33424 | 0.5875 |
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+ | 0.524 | 17.0 | 35513 | 0.5870 |
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+ | 0.5209 | 18.0 | 37602 | 0.5866 |
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+ | 0.5179 | 19.0 | 39691 | 0.5867 |
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+ | 0.5157 | 20.0 | 41780 | 0.5865 |
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  ### Framework versions