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: 0.0107
- Validation Loss: 13.3525
- 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 |
---|---|---|
0.0172 | 5.3634 | 0 |
0.0172 | 5.4425 | 1 |
0.0159 | 5.3352 | 2 |
0.0145 | 9.1362 | 3 |
0.0132 | 8.4351 | 4 |
0.0137 | 7.6532 | 5 |
0.0126 | 6.9906 | 6 |
0.0116 | 5.9004 | 7 |
0.0114 | 10.3094 | 8 |
0.0128 | 8.9979 | 9 |
0.0112 | 7.7707 | 10 |
0.0115 | 6.7981 | 11 |
0.0093 | 7.2101 | 12 |
0.0081 | 6.5985 | 13 |
0.0107 | 13.3525 | 14 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1