| | --- |
| | library_name: transformers |
| | base_model: asafaya/bert-base-arabic |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: AlaaHussien/POS_Arabic |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # AlaaHussien/POS_Arabic |
| | |
| | This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0886 |
| | - Validation Loss: 0.1103 |
| | - Train Precision: 0.9604 |
| | - Train Recall: 0.9555 |
| | - Train F1: 0.9579 |
| | - Train Accuracy: 0.9703 |
| | - Epoch: 2 |
| | |
| | ## 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': 795, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch | |
| | |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| |
| | | 0.1303 | 0.1180 | 0.9571 | 0.9508 | 0.9539 | 0.9677 | 0 | |
| | | 0.0995 | 0.1103 | 0.9597 | 0.9555 | 0.9576 | 0.9701 | 1 | |
| | | 0.0886 | 0.1103 | 0.9604 | 0.9555 | 0.9579 | 0.9703 | 2 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.51.1 |
| | - TensorFlow 2.18.0 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.0 |
| |
|
