readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: eng-hin-translator
    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. -->
  
  # eng-hin-translator
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4143
  - Bleu Score: 34.2532
  
  ## 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 Score |
  |:-------------:|:-----:|:----:|:---------------:|:----------:|
  | 1.7332        | 1.0   | 548  | 1.5131          | 31.6167    |
  | 1.3588        | 2.0   | 1096 | 1.4463          | 33.0225    |
  | 1.1651        | 3.0   | 1644 | 1.4209          | 34.0514    |
  | 1.042         | 4.0   | 2192 | 1.4139          | 34.0137    |
  | 0.9686        | 5.0   | 2740 | 1.4143          | 34.2532    |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  