readme: ---
  license: afl-3.0
  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: electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
    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. -->
  # electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
  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
  