Arabic_POS_classifer

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: 0.0665
• Validation Loss: 0.1015
• Train Precision: 0.9651
• Train Recall: 0.9605
• Train F1: 0.9628
• Train Accuracy: 0.9725
• Epoch: 1

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
0.0670	0.1015	0.9651	0.9605	0.9628	0.9725	0
0.0665	0.1015	0.9651	0.9605	0.9628	0.9725	1

Framework versions

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