readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mt5-small-finetuned-src-to-trg-testing
    results: []
  ---
  
  <!-- 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. -->
  
  # mt5-small-finetuned-src-to-trg-testing
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 15.8614
  - Bleu: 0.1222
  - Gen Len: 3.75
  
  ## 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: 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 4    | 15.8782         | 0.1222 | 3.75    |
  | No log        | 2.0   | 8    | 15.7909         | 0.1222 | 3.75    |
  | No log        | 3.0   | 12   | 15.8614         | 0.1222 | 3.75    |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.7.1
  - Datasets 1.16.2.dev0
  - Tokenizers 0.10.3
  