readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt16
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-de-to-en-lr1e-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: 11.427
  ---
  
  <!-- 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-lr1e-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: 1.8228
  - Bleu: 11.427
  - Gen Len: 17.2674
  
  ## 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: 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  | 1.9605          | 9.0786  | 17.3148 |
  | 2.3992        | 2.0   | 544  | 1.8884          | 10.1443 | 17.3301 |
  | 2.3992        | 3.0   | 816  | 1.8647          | 10.4816 | 17.3258 |
  | 2.0832        | 4.0   | 1088 | 1.8473          | 10.7396 | 17.3231 |
  | 2.0832        | 5.0   | 1360 | 1.8343          | 11.0937 | 17.2621 |
  | 1.9193        | 6.0   | 1632 | 1.8282          | 11.1303 | 17.3098 |
  | 1.9193        | 7.0   | 1904 | 1.8234          | 11.2971 | 17.2991 |
  | 1.8351        | 8.0   | 2176 | 1.8241          | 11.3433 | 17.2621 |
  | 1.8351        | 9.0   | 2448 | 1.8224          | 11.394  | 17.2691 |
  | 1.7747        | 10.0  | 2720 | 1.8228          | 11.427  | 17.2674 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  