damand2061/pfsa-id-med-NusaBERT

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

• Train Loss: 0.1463
• Validation Loss: 0.2312
• Validation F1: 0.8260
• Validation Accuracy: 0.9308
• Epoch: 4

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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 19220, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Validation F1	Validation Accuracy	Epoch
0.3937	0.2724	0.6512	0.9110	0
0.2361	0.2354	0.7562	0.9255	1
0.1954	0.2295	0.8054	0.9296	2
0.1651	0.2309	0.8228	0.9303	3
0.1463	0.2312	0.8260	0.9308	4

Framework versions

• Transformers 4.44.2
• TensorFlow 2.17.0
• Datasets 2.21.0
• Tokenizers 0.19.1