aadhistii/tsel-finetune-bert-base-indonesian-1.5G-sentiment-analysis-smsa

This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0177
• Validation Loss: 1.3858
• Train Accuracy: 0.6712
• Epoch: 9

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 730, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
1.3087	0.8960	0.6336	0
0.7406	0.9109	0.6199	1
0.5737	0.8554	0.6473	2
0.3301	0.9670	0.6473	3
0.1785	1.0983	0.6712	4
0.0729	1.2668	0.6678	5
0.0481	1.3972	0.6541	6
0.0293	1.3686	0.6712	7
0.0255	1.3980	0.6644	8
0.0177	1.3858	0.6712	9

Framework versions

• Transformers 4.42.3
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1