readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: poem-gen-spanish-t5-small-test
    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. -->
  
  # poem-gen-spanish-t5-small-test
  
  This model is a fine-tuned version of [hackathon-pln-es/poem-gen-spanish-t5-small](https://huggingface.co/hackathon-pln-es/poem-gen-spanish-t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2170
  
  ## 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: 0.0001
  - 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: 12
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.8391        | 0.73  | 30000  | 2.9486          |
  | 2.6782        | 1.46  | 60000  | 2.8990          |
  | 2.5323        | 2.19  | 90000  | 2.9193          |
  | 2.5191        | 2.93  | 120000 | 2.8982          |
  | 2.4007        | 3.66  | 150000 | 2.9241          |
  | 2.2909        | 4.39  | 180000 | 2.9418          |
  | 2.1741        | 5.12  | 210000 | 2.9783          |
  | 2.1973        | 5.85  | 240000 | 2.9671          |
  | 2.0969        | 6.58  | 270000 | 3.0179          |
  | 1.9818        | 7.31  | 300000 | 3.0582          |
  | 1.8639        | 8.05  | 330000 | 3.0918          |
  | 1.8824        | 8.78  | 360000 | 3.1095          |
  | 1.7929        | 9.51  | 390000 | 3.1502          |
  | 1.7247        | 10.24 | 420000 | 3.1855          |
  | 1.7039        | 10.97 | 450000 | 3.1953          |
  | 1.6475        | 11.7  | 480000 | 3.2180          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  