readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: En-Tn_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. -->
  
  # En-Tn_update
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-tn](https://huggingface.co/Helsinki-NLP/opus-mt-en-tn) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.13002
  - Bleu: 39.1470
  
  ## 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
  
  |Epoch| 	Training Loss |	 Validation Loss|  	Bleu |
  |:---:|:---------------:|:----------------:|:-------:|
  | 1   | 1.929300        |	1.884056        | 29.762382|
  | 2   | 1.637300        |	1.605588        | 32.846868|
  | 3   | 1.500000        |	1.457442        | 34.307484|
  | 4   | 1.402400        |	1.356578        | 35.423774|
  | 5 	| 1.324000        |	1.276492        | 36.553368|
  | 6 	| 1.251300        |	1.221768        | 37.464270|
  | 7 	| 1.224700        |	1.181320        | 38.157490|
  | 8 	| 1.193200        |	1.152997        | 38.800566|
  | 9 	| 1.166700        |	1.136147      	| 38.985707|
  | 10  | 1.142500        |	1.130020      	| 39.209327|
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  