Israaabdelghany/Arabic_POS

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1992
• Validation Loss: 0.1112
• Train Precision: 0.9611
• Train Recall: 0.9577
• Train F1: 0.9594
• Train Accuracy: 0.9699
• 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': 4860, '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
0.1992	0.1112	0.9611	0.9577	0.9594	0.9699	0

Framework versions

• Transformers 4.51.3
• TensorFlow 2.19.0
• Datasets 3.6.0
• Tokenizers 0.21.1