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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 [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0294
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- - Accuracy: 0.6233
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- - F1: 0.6503
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  ## Model description
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@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 375 | 1.0294 | 0.6233 | 0.6503 |
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- | 1.1597 | 2.0 | 750 | 1.0168 | 0.6217 | 0.6526 |
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- | 0.8882 | 3.0 | 1125 | 1.0416 | 0.62 | 0.6590 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0046
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+ - Accuracy: 0.65
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+ - F1: 0.6646
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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: 7e-06
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 375 | 1.0046 | 0.65 | 0.6646 |
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+ | 1.2137 | 2.0 | 750 | 1.0212 | 0.61 | 0.6398 |
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+ | 0.9497 | 3.0 | 1125 | 1.0247 | 0.6133 | 0.6478 |
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  ### Framework versions