metadata
library_name: transformers
base_model: asafaya/bert-base-arabic
tags:
- generated_from_keras_callback
model-index:
- name: saraaaaaaaaaaaaaa/first_pos_project
results: []
saraaaaaaaaaaaaaa/first_pos_project
This model is a fine-tuned version of asafaya/bert-base-arabic on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1010
- Validation Loss: 0.1099
- Train Accuracy: 0.9697
- Train F1: 0.9565
- Train Precision: 0.9588
- Train Recall: 0.9542
- Epoch: 0
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 909, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Train F1 | Train Precision | Train Recall | Epoch |
|---|---|---|---|---|---|---|
| 0.1010 | 0.1099 | 0.9697 | 0.9565 | 0.9588 | 0.9542 | 0 |
Framework versions
- Transformers 4.51.3
- TensorFlow 2.18.0
- Datasets 3.6.0
- Tokenizers 0.21.1