readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt16
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-de-to-en
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: wmt16
        type: wmt16
        args: de-en
      metrics:
      - name: Bleu
        type: bleu
        value: 9.2166
  ---
  
  <!-- 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-de-to-en
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt16 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9417
  - Bleu: 9.2166
  - Gen Len: 17.3404
  
  ## 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: 8
  - eval_batch_size: 8
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 272  | 2.1660          | 3.8515 | 17.6289 |
  | 2.6678        | 2.0   | 544  | 2.0656          | 6.4422 | 17.4842 |
  | 2.6678        | 3.0   | 816  | 2.0203          | 7.4348 | 17.3741 |
  | 2.4316        | 4.0   | 1088 | 1.9926          | 8.0914 | 17.3658 |
  | 2.4316        | 5.0   | 1360 | 1.9739          | 8.6535 | 17.3461 |
  | 2.3307        | 6.0   | 1632 | 1.9603          | 8.8757 | 17.3768 |
  | 2.3307        | 7.0   | 1904 | 1.9509          | 9.0744 | 17.3511 |
  | 2.2945        | 8.0   | 2176 | 1.9466          | 9.1111 | 17.3418 |
  | 2.2945        | 9.0   | 2448 | 1.9427          | 9.1969 | 17.3351 |
  | 2.2666        | 10.0  | 2720 | 1.9417          | 9.2166 | 17.3404 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  