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opus-mt-ar-en-finetuned-ar-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the news_commentary dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6933
  • Bleu: 32.8872
  • Gen Len: 56.084

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: 3e-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

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 188 0.7407 30.7259 56.296
No log 2.0 376 0.6927 32.2038 58.602
0.8066 3.0 564 0.6898 33.1091 57.72
0.8066 4.0 752 0.6925 33.0842 56.574
0.8066 5.0 940 0.6933 32.8872 56.084

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train shurafa16/opus-mt-ar-en-finetuned-ar-to-en

Evaluation results