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MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-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: 0.0053
- Validation Loss: 8.2764
- Epoch: 14
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 | Epoch |
|---|---|---|
| 0.0090 | 12.3530 | 0 |
| 0.0134 | 11.3018 | 1 |
| 0.0110 | 10.5958 | 2 |
| 0.0083 | 9.7381 | 3 |
| 0.0068 | 8.9434 | 4 |
| 0.0080 | 12.7723 | 5 |
| 0.0071 | 11.5191 | 6 |
| 0.0077 | 10.6246 | 7 |
| 0.0101 | 10.3368 | 8 |
| 0.0092 | 8.7824 | 9 |
| 0.0070 | 7.7344 | 10 |
| 0.0070 | 8.2180 | 11 |
| 0.0079 | 7.8572 | 12 |
| 0.0070 | 9.3053 | 13 |
| 0.0053 | 8.2764 | 14 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
