readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: mt5_fill_puntuation
    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. -->
  
  # mt5_fill_puntuation
  
  This model is a fine-tuned version of [jamie613/mt5_fill_puntuation](https://huggingface.co/jamie613/mt5_fill_puntuation) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0717
  
  ## 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: 5e-05
  - train_batch_size: 5
  - eval_batch_size: 5
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0918        | 0.04  | 500   | 0.0803          |
  | 0.0894        | 0.07  | 1000  | 0.0773          |
  | 0.0905        | 0.11  | 1500  | 0.0822          |
  | 0.0908        | 0.15  | 2000  | 0.0833          |
  | 0.0868        | 0.18  | 2500  | 0.0840          |
  | 0.09          | 0.22  | 3000  | 0.0811          |
  | 0.0868        | 0.26  | 3500  | 0.0735          |
  | 0.0869        | 0.29  | 4000  | 0.0805          |
  | 0.0874        | 0.33  | 4500  | 0.0742          |
  | 0.088         | 0.37  | 5000  | 0.0749          |
  | 0.0884        | 0.4   | 5500  | 0.0730          |
  | 0.0861        | 0.44  | 6000  | 0.0749          |
  | 0.0804        | 0.48  | 6500  | 0.0739          |
  | 0.0845        | 0.51  | 7000  | 0.0717          |
  | 0.0861        | 0.55  | 7500  | 0.0743          |
  | 0.0812        | 0.59  | 8000  | 0.0726          |
  | 0.0824        | 0.62  | 8500  | 0.0729          |
  | 0.0836        | 0.66  | 9000  | 0.0751          |
  | 0.079         | 0.7   | 9500  | 0.0731          |
  | 0.0806        | 0.73  | 10000 | 0.0725          |
  | 0.0798        | 0.77  | 10500 | 0.0749          |
  | 0.0794        | 0.81  | 11000 | 0.0725          |
  | 0.0795        | 0.84  | 11500 | 0.0726          |
  | 0.0755        | 0.88  | 12000 | 0.0732          |
  | 0.0815        | 0.92  | 12500 | 0.0722          |
  | 0.0776        | 0.95  | 13000 | 0.0719          |
  | 0.0838        | 0.99  | 13500 | 0.0717          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  