readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: lg-en-v3
    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. -->
  
  # lg-en-v3
  
  This model is a fine-tuned version of [AI-Lab-Makerere/lg_en](https://huggingface.co/AI-Lab-Makerere/lg_en) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9289
  - Bleu: 32.5138
  
  ## 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: 4.4271483249908667e-05
  - train_batch_size: 14
  - eval_batch_size: 6
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | No log        | 1.0   | 26   | 1.0323          | 32.6278 |
  | No log        | 2.0   | 52   | 0.9289          | 32.5138 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  