metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-ar-to-en
results: []
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: 0.0155
- Validation Loss: 5.9802
- 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 |
|---|---|---|
| 0.0522 | 4.5969 | 0 |
| 0.0457 | 4.7198 | 1 |
| 0.0415 | 4.5931 | 2 |
| 0.0379 | 5.4758 | 3 |
| 0.0356 | 4.9914 | 4 |
| 0.0315 | 4.7049 | 5 |
| 0.0277 | 4.5416 | 6 |
| 0.0273 | 5.6735 | 7 |
| 0.0254 | 5.1084 | 8 |
| 0.0249 | 4.9089 | 9 |
| 0.0234 | 6.3506 | 10 |
| 0.0208 | 5.7514 | 11 |
| 0.0201 | 5.3350 | 12 |
| 0.0179 | 6.7838 | 13 |
| 0.0155 | 5.9802 | 14 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1