readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bertin-roberta-base-spanish-finetuned-recores3
    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. -->
  
  # bertin-roberta-base-spanish-finetuned-recores3
  
  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.0975
  - Accuracy: 0.3884
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 3000
  - num_epochs: 25
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 1.6095        | 1.0   | 524   | 1.6094          | 0.2342   |
  | 1.607         | 2.0   | 1048  | 1.5612          | 0.3058   |
  | 1.4059        | 3.0   | 1572  | 1.6292          | 0.3361   |
  | 0.7047        | 4.0   | 2096  | 2.5111          | 0.4132   |
  | 0.2671        | 5.0   | 2620  | 3.2399          | 0.3499   |
  | 0.1065        | 6.0   | 3144  | 5.1217          | 0.3444   |
  | 0.0397        | 7.0   | 3668  | 4.3270          | 0.3691   |
  | 0.0162        | 8.0   | 4192  | 5.1796          | 0.3719   |
  | 0.0096        | 9.0   | 4716  | 5.2161          | 0.3994   |
  | 0.0118        | 10.0  | 5240  | 4.9225          | 0.3719   |
  | 0.0015        | 11.0  | 5764  | 5.0544          | 0.3829   |
  | 0.0091        | 12.0  | 6288  | 5.7731          | 0.3884   |
  | 0.0052        | 13.0  | 6812  | 4.1606          | 0.3939   |
  | 0.0138        | 14.0  | 7336  | 6.2725          | 0.3857   |
  | 0.0027        | 15.0  | 7860  | 6.2274          | 0.3857   |
  | 0.0003        | 16.0  | 8384  | 6.0935          | 0.4022   |
  | 0.0002        | 17.0  | 8908  | 5.7650          | 0.3994   |
  | 0.0           | 18.0  | 9432  | 6.3595          | 0.4215   |
  | 0.0           | 19.0  | 9956  | 5.8934          | 0.3747   |
  | 0.0001        | 20.0  | 10480 | 6.0571          | 0.3884   |
  | 0.0           | 21.0  | 11004 | 6.0718          | 0.3884   |
  | 0.0           | 22.0  | 11528 | 6.0844          | 0.3884   |
  | 0.0           | 23.0  | 12052 | 6.0930          | 0.3884   |
  | 0.0           | 24.0  | 12576 | 6.0966          | 0.3884   |
  | 0.0           | 25.0  | 13100 | 6.0975          | 0.3884   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  