readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt14
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-de-en-epochs5
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: wmt14
        type: wmt14
        args: de-en
      metrics:
      - name: Bleu
        type: bleu
        value: 5.8913
  ---
  
  <!-- 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-en-epochs5
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt14 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2040
  - Bleu: 5.8913
  - Gen Len: 17.5408
  
  ## 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: 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 188  | 2.3366          | 2.8075 | 17.8188 |
  | No log        | 2.0   | 376  | 2.2557          | 4.8765 | 17.626  |
  | 2.6928        | 3.0   | 564  | 2.2246          | 5.5454 | 17.5534 |
  | 2.6928        | 4.0   | 752  | 2.2086          | 5.8511 | 17.5461 |
  | 2.6928        | 5.0   | 940  | 2.2040          | 5.8913 | 17.5408 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  