Al Jaheth0.1

🚀 mohdyaser/helsinki-al-jaheth

This model is a fine - tuned version of Helsinki-NLP/opus-mt-en-ar, aiming to provide better performance on specific tasks.

🚀 Quick Start

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:

• Train Loss: 1.4972
• Validation Loss: 1.6014
• Epoch: 2

📚 Documentation

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e - 05, 'decay_steps': 1014, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e - 08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Framework versions

📄 License

This model is licensed under the Apache 2.0 license.