readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-spanish-uncased-finetuned-opinion
    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. -->
  
  # distilbert-base-spanish-uncased-finetuned-opinion
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.2078
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 12.7318       | 1.0   | 899  | 7.5402          |
  | 7.8137        | 2.0   | 1798 | 7.0341          |
  | 7.2367        | 3.0   | 2697 | 6.7184          |
  | 6.9153        | 4.0   | 3596 | 6.5694          |
  | 6.7086        | 5.0   | 4495 | 6.4376          |
  | 6.5769        | 6.0   | 5394 | 6.3584          |
  | 6.4833        | 7.0   | 6293 | 6.2887          |
  | 6.4076        | 8.0   | 7192 | 6.2511          |
  | 6.362         | 9.0   | 8091 | 6.2257          |
  | 6.3296        | 10.0  | 8990 | 6.2064          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  