--- library_name: transformers base_model: asafaya/bert-base-arabic tags: - generated_from_keras_callback model-index: - name: AlaaHussien/Part_of_speech_arabic results: [] --- # AlaaHussien/Part_of_speech_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: 0.0974 - Validation Loss: 0.1114 - Train Precision: 0.9599 - Train Recall: 0.9546 - Train F1: 0.9572 - Train Accuracy: 0.9701 - 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 | |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| | 0.4216 | 0.1348 | 0.9514 | 0.9449 | 0.9482 | 0.9634 | 0 | | 0.1180 | 0.1149 | 0.9579 | 0.9522 | 0.9551 | 0.9686 | 1 | | 0.0974 | 0.1114 | 0.9599 | 0.9546 | 0.9572 | 0.9701 | 2 | ### Framework versions - Transformers 4.51.1 - TensorFlow 2.18.0 - Datasets 3.5.0 - Tokenizers 0.21.0