readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt16
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-de-to-en-lr3e-4
    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: 11.9094
  ---
  
  <!-- 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-lr3e-4
  
  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: 1.9059
  - Bleu: 11.9094
  - Gen Len: 17.2257
  
  ## 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: 0.0003
  - 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  | 1.8814          | 10.3468 | 17.2244 |
  | 2.2309        | 2.0   | 544  | 1.8320          | 10.9949 | 17.2768 |
  | 2.2309        | 3.0   | 816  | 1.8273          | 11.4299 | 17.2147 |
  | 1.7515        | 4.0   | 1088 | 1.8321          | 11.5576 | 17.3191 |
  | 1.7515        | 5.0   | 1360 | 1.8377          | 11.8255 | 17.2244 |
  | 1.488         | 6.0   | 1632 | 1.8562          | 11.6741 | 17.2427 |
  | 1.488         | 7.0   | 1904 | 1.8653          | 11.7363 | 17.2331 |
  | 1.3301        | 8.0   | 2176 | 1.8938          | 12.0458 | 17.2044 |
  | 1.3301        | 9.0   | 2448 | 1.9005          | 11.8676 | 17.2437 |
  | 1.2241        | 10.0  | 2720 | 1.9059          | 11.9094 | 17.2257 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  