readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: Nso-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. -->
  
  # Nso-En_update
  
  This model is a fine-tuned version of [kabelomalapane/En-Nso](https://huggingface.co/kabelomalapane/En-Nso) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9219
  - Bleu: 0.0
  
  ## 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: 32
  - eval_batch_size: 64
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:----:|
  | No log        | 1.0   | 108  | 2.0785          | 0.0  |
  | No log        | 2.0   | 216  | 1.9015          | 0.0  |
  | No log        | 3.0   | 324  | 1.8730          | 0.0  |
  | No log        | 4.0   | 432  | 1.8626          | 0.0  |
  | 2.1461        | 5.0   | 540  | 1.8743          | 0.0  |
  | 2.1461        | 6.0   | 648  | 1.8903          | 0.0  |
  | 2.1461        | 7.0   | 756  | 1.9018          | 0.0  |
  | 2.1461        | 8.0   | 864  | 1.9236          | 0.0  |
  | 2.1461        | 9.0   | 972  | 1.9210          | 0.0  |
  | 1.2781        | 10.0  | 1080 | 1.9219          | 0.0  |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  