readme: ---
  language: "es"
  
  tags:
  - generated_from_trainer
  - sentiment
  - emotion
  widget:
  - text: "no me gusta esta vida."
    example_title: "Ejemplo 1"
  - text: "odio estar ahi"
    example_title: "Ejemplo 2"
  - text: "me siento triste por no poder viajar"
    example_title: "Ejemplo 3"
  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: 0.1546
  - Accuracy: 0.9488
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.1643        | 1.0   | 12022 | 0.1546          | 0.9488   |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  