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opus-mt-ar-en-finetunedTanzil-v7-ar-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1919
- Validation Loss: 0.5047
- Train Rouge1: 49.6877
- Train Rouge2: 25.9574
- Train Rougel: 45.2590
- Train Rougelsum: 45.7464
- Train Gen Len: 85.57
- Epoch: 4
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 0.1959 | 0.5105 | 48.2182 | 23.4978 | 44.1127 | 44.6422 | 87.45 | 0 |
| 0.1950 | 0.5114 | 49.5777 | 25.1663 | 45.7183 | 46.0930 | 86.72 | 1 |
| 0.1937 | 0.5074 | 49.1793 | 24.1899 | 45.3374 | 45.5902 | 84.805 | 2 |
| 0.1929 | 0.5075 | 49.1553 | 24.8199 | 44.7342 | 45.1392 | 87.495 | 3 |
| 0.1919 | 0.5047 | 49.6877 | 25.9574 | 45.2590 | 45.7464 | 85.57 | 4 |
Framework versions
- Transformers 4.17.0.dev0
- TensorFlow 2.7.0
- Datasets 1.18.4.dev0
- Tokenizers 0.10.3
