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: 0.0544
- Validation Loss: 4.8150
- 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 |
|---|---|---|
| 0.4105 | 4.1274 | 0 |
| 0.3447 | 4.1818 | 1 |
| 0.2915 | 4.2258 | 2 |
| 0.2461 | 4.1676 | 3 |
| 0.2087 | 4.4247 | 4 |
| 0.1769 | 4.3875 | 5 |
| 0.1505 | 4.3661 | 6 |
| 0.1315 | 4.3022 | 7 |
| 0.1144 | 4.3295 | 8 |
| 0.0990 | 4.4973 | 9 |
| 0.0894 | 4.4012 | 10 |
| 0.0774 | 4.4391 | 11 |
| 0.0680 | 4.5967 | 12 |
| 0.0606 | 4.4368 | 13 |
| 0.0544 | 4.8150 | 14 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1