readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: Ts-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. -->
  
  # Ts-En_update
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ts-en](https://huggingface.co/Helsinki-NLP/opus-mt-ts-en) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2030
  - Bleu: 44.6835
  
  ## 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   | 1.650900      	| 1.676816        	| 31.785027|
  | 2   | 1.365800      	| 1.478832        	| 35.611479|
  | 3   | 1.205400      	| 1.376320        	| 38.719939|
  | 4   | 1.095300      	| 1.315572        	| 40.419038|
  | 5 	| 1.020000      	| 1.275409        	| 41.858332|
  | 6 	| 0.959000      	| 1.245399        	| 42.456983|
  | 7 	| 0.915700      	| 1.225268        	| 41.888945|
  | 8 	| 0.879100      	| 1.213904        	| 43.738043|
  | 9 	| 0.841900      	| 1.205976        	| 43.683633|
  | 10  | 0.800600      	| 1.203017        	| 44.294833|
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  