readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt19
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-fi-to-en
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: wmt19
        type: wmt19
        args: fi-en
      metrics:
      - name: Bleu
        type: bleu
        value: 1.618
  ---
  
  <!-- 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-fi-to-en
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt19 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3598
  - Bleu: 1.618
  - Gen Len: 17.3223
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
  | 3.3627        | 1.0   | 6250  | 3.5122          | 1.2882 | 17.1803 |
  | 3.2162        | 2.0   | 12500 | 3.4442          | 1.4329 | 17.2617 |
  | 3.1304        | 3.0   | 18750 | 3.3872          | 1.4862 | 17.296  |
  | 3.0832        | 4.0   | 25000 | 3.3648          | 1.5795 | 17.3047 |
  | 3.0623        | 5.0   | 31250 | 3.3598          | 1.618  | 17.3223 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.9.1
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  