readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - becasv2
  model-index:
  - name: roberta-base-spanish-squades-modelo-robertav1
    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. -->
  
  # roberta-base-spanish-squades-modelo-robertav1
  
  This model is a fine-tuned version of [IIC/roberta-base-spanish-squades](https://huggingface.co/IIC/roberta-base-spanish-squades) on the becasv2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4358
  
  ## 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: 3e-05
  - train_batch_size: 11
  - eval_batch_size: 11
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 6    | 1.8825          |
  | No log        | 2.0   | 12   | 1.7787          |
  | No log        | 3.0   | 18   | 2.0521          |
  | No log        | 4.0   | 24   | 2.2991          |
  | No log        | 5.0   | 30   | 2.4029          |
  | No log        | 6.0   | 36   | 2.4358          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  