readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-en-to-pt
    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. -->
  
  # t5-small-finetuned-en-to-pt
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3295
  - Bleu: 5.6807
  - Gen Len: 18.6772
  
  ## 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: 0.005
  - train_batch_size: 16
  - eval_batch_size: 16
  - 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 | Bleu   | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
  | 0.5787        | 1.0   | 6250  | 0.4928          | 4.1007 | 18.638  |
  | 0.5089        | 2.0   | 12500 | 0.4463          | 4.3492 | 18.663  |
  | 0.4652        | 3.0   | 18750 | 0.4215          | 4.68   | 18.6652 |
  | 0.4353        | 4.0   | 25000 | 0.3980          | 4.8172 | 18.6708 |
  | 0.4042        | 5.0   | 31250 | 0.3799          | 4.9719 | 18.6514 |
  | 0.3734        | 6.0   | 37500 | 0.3676          | 5.2226 | 18.6572 |
  | 0.3396        | 7.0   | 43750 | 0.3513          | 5.2693 | 18.6596 |
  | 0.308         | 8.0   | 50000 | 0.3400          | 5.4546 | 18.676  |
  | 0.2767        | 9.0   | 56250 | 0.3331          | 5.5649 | 18.6708 |
  | 0.2424        | 10.0  | 62500 | 0.3295          | 5.6807 | 18.6772 |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.0
  - Tokenizers 0.10.3
  