readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: Zu-En_update
    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. -->
  
  # Zu-En_update
  
  This model is a fine-tuned version of [kabelomalapane/model_zu-en_updated](https://huggingface.co/kabelomalapane/model_zu-en_updated) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9399
  - Bleu: 27.9608
  
  ## 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: 32
  - 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 2.1017        | 1.0   | 1173  | 1.8404          | 29.1031 |
  | 1.7497        | 2.0   | 2346  | 1.8318          | 28.9036 |
  | 1.523         | 3.0   | 3519  | 1.8250          | 28.8415 |
  | 1.364         | 4.0   | 4692  | 1.8551          | 28.6215 |
  | 1.2462        | 5.0   | 5865  | 1.8684          | 28.3783 |
  | 1.1515        | 6.0   | 7038  | 1.8948          | 28.3372 |
  | 1.0796        | 7.0   | 8211  | 1.9109          | 28.1603 |
  | 1.0215        | 8.0   | 9384  | 1.9274          | 28.0309 |
  | 0.9916        | 9.0   | 10557 | 1.9323          | 27.9472 |
  | 0.9583        | 10.0  | 11730 | 1.9399          | 27.9260 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  