readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-small-spanish-disco-poetry
    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. -->
  
  # gpt2-small-spanish-disco-poetry
  
  This model is a fine-tuned version of [datificate/gpt2-small-spanish](https://huggingface.co/datificate/gpt2-small-spanish) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.2471
  
  ## 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: 6
  - eval_batch_size: 6
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.7329        | 1.0   | 750  | 4.4635          |
  | 4.4445        | 2.0   | 1500 | 4.3703          |
  | 4.3344        | 3.0   | 2250 | 4.3262          |
  | 4.2352        | 4.0   | 3000 | 4.3045          |
  | 4.1714        | 5.0   | 3750 | 4.2821          |
  | 4.1034        | 6.0   | 4500 | 4.2619          |
  | 4.0668        | 7.0   | 5250 | 4.2554          |
  | 4.0322        | 8.0   | 6000 | 4.2515          |
  | 4.0163        | 9.0   | 6750 | 4.2489          |
  | 4.0011        | 10.0  | 7500 | 4.2471          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  