model-translate-en-to-ar-from-120k-dataset-ar-en-th230111447
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8730
- Bleu: 20.6264
Model description
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Intended uses & limitations
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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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.7641 | 1.0 | 12500 | 1.8958 | 20.0677 |
| 1.8961 | 2.0 | 25000 | 1.8788 | 20.5618 |
| 1.9399 | 3.0 | 37500 | 1.8730 | 20.6264 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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