Update README.md

README.md

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 ---
 license: apache-2.0
+language: "es"
+
+tags:
+- generated_from_trainer
+- sentiment
+- emotion
+widget:
+- text: "La vida no merece la pena"
+  example_title: "Ejemplo 1"
+- text: "Para vivir así lo mejor es estar muerto"
+  example_title: "Ejemplo 2"
+- text: "me siento triste por no poder viajar"
+  example_title: "Ejemplo 3"
+- text: "Quiero terminar con todo"  
+  example_title: "Ejemplo 4"
+- text: "Disfruto de la vista"
+  example_title: "Ejemplo 5"    
+  
+metrics:
+- accuracy
+model-index:
+- name: clasificacion-texto-suicida-finetuned-amazon-review
+  results: []
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# clasificacion-texto-suicida-finetuned-amazon-review
+This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0458
+- Accuracy: 0.9916 
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- lr_scheduler_type: linear
+- num_epochs: 15
+### Training results
+| Training Loss | Epoch | Validation Loss | Accuracy |
+|:-------------:|:-----:|:---------------:|:--------:|
+| 0.161100       | 1.0   | 0.133057         | 0.952718 |
+| 0.134500        | 2.0   | 0.110966       | 0.960804 |
+| 0.108500        | 3.0   | 0.086417      | 0.970835 |
+| 0.099400        | 4.0   | 0.073618      | 0.974856 |
+| 0.090500       | 5.0   | 0.065231       | 0.979629 |
+| 0.080700       | 6.0   | 0.060849    | 0.982324   |
+| 0.069200        | 7.0   | 0.054718       | 0.986125 |
+| 0.060400        | 8.0   | 0.051153        | 0.985948 |
+| 0.048200        | 9.0   | 0.045747       | 0.989748 |
+| 0.045500        | 10.0   | 0.049992        | 0.988069 |
+| 0.043400        | 11.0   | 0.046325         | 0.990234 |
+| 0.034300        | 12.0   | 0.050746         | 0.989792 |
+| 0.032900        | 13.0   | 0.043434       | 0.991737 |
+| 0.028400        | 14.0   | 0.045003        | 0.991869 |
+| 0.022300        | 15.0   | 0.045819        | 0.991648 |
+
+
+### Framework versions
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.11.6
+
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