metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ha-en
tags:
- generated_from_keras_callback
model-index:
- name: Baghdad99/saad-opus-ha-to-en
results: []
Baghdad99/saad-opus-ha-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ha-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.8354
- Validation Loss: 3.9766
- Epoch: 12
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-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 5.3200 | 4.9969 | 0 |
| 4.7301 | 4.7199 | 1 |
| 4.3658 | 4.5332 | 2 |
| 4.0897 | 4.3940 | 3 |
| 3.8568 | 4.2969 | 4 |
| 3.6818 | 4.2143 | 5 |
| 3.5195 | 4.1530 | 6 |
| 3.3799 | 4.1085 | 7 |
| 3.2595 | 4.0679 | 8 |
| 3.1400 | 4.0438 | 9 |
| 3.0337 | 4.0185 | 10 |
| 2.9335 | 3.9988 | 11 |
| 2.8354 | 3.9766 | 12 |
Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1