readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: Af-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. -->
  
  # Af-En_update
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-af-en](https://huggingface.co/Helsinki-NLP/opus-mt-af-en) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7197
  - Bleu: 55.3346
  
  ## 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: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 1.3745        | 1.0   | 2553  | 1.7537          | 51.9270 |
  | 1.0462        | 2.0   | 5106  | 1.6305          | 53.9359 |
  | 0.896         | 3.0   | 7659  | 1.6216          | 54.3049 |
  | 0.7824        | 4.0   | 10212 | 1.6108          | 54.9902 |
  | 0.6974        | 5.0   | 12765 | 1.6183          | 55.0265 |
  | 0.643         | 6.0   | 15318 | 1.6207          | 55.4137 |
  | 0.5635        | 7.0   | 17871 | 1.6276          | 55.1335 |
  | 0.5141        | 8.0   | 20424 | 1.6498          | 55.2215 |
  | 0.4681        | 9.0   | 22977 | 1.6678          | 55.2000 |
  | 0.4304        | 10.0  | 25530 | 1.6797          | 55.2748 |
  | 0.425         | 11.0  | 28083 | 1.7004          | 55.0478 |
  | 0.398         | 12.0  | 30636 | 1.7013          | 55.3591 |
  | 0.3759        | 13.0  | 33189 | 1.7082          | 55.3225 |
  | 0.3681        | 14.0  | 35742 | 1.7151          | 55.1793 |
  | 0.3571        | 15.0  | 38295 | 1.7197          | 55.2729 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  