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

Text2Text Generation
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PyTorch
marian
Generated from Trainer
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opus-mt-en-ar-finetuned-en-to-ar / README.md
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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-en-ar-finetuned-en-to-ar
    results: []

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

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

  • Loss: 2.3845
  • Bleu: 10.5436
  • Gen Len: 24.5802

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.6662 1.0 26718 2.5506 9.195 30.2454
2.4624 2.0 53436 2.4236 9.7626 25.7695
2.3456 3.0 80154 2.3845 10.5436 24.5802

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.14.1