readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt14
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-de-en-batch8
    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: 10.039
  ---
  
  <!-- 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-batch8
  
  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: 2.1282
  - Bleu: 10.039
  - Gen Len: 17.3839
  
  ## 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: 0.0002
  - 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 375  | 2.0912          | 9.9147 | 17.3084 |
  | 1.5593        | 2.0   | 750  | 2.0858          | 9.9386 | 17.4299 |
  | 1.4383        | 3.0   | 1125 | 2.1137          | 9.9804 | 17.34   |
  | 1.3562        | 4.0   | 1500 | 2.1198          | 9.9685 | 17.367  |
  | 1.3562        | 5.0   | 1875 | 2.1282          | 10.039 | 17.3839 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  