readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-5e-10334t-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-5e-10334t-finetuned-opinion
  
  This model is a fine-tuned version of [CenIA/distilbert-base-spanish-uncased](https://huggingface.co/CenIA/distilbert-base-spanish-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.6764
  
  ## 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.1394        | 1.0   | 898  | 5.4374          |
  | 5.312         | 2.0   | 1796 | 5.0640          |
  | 5.0305        | 3.0   | 2694 | 4.8486          |
  | 4.8765        | 4.0   | 3592 | 4.7270          |
  | 4.7992        | 5.0   | 4490 | 4.6803          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  