stevanussmbrng/speeches_sentiment

This model is a fine-tuned version of ayameRushia/indobert-base-uncased-finetuned-indonlu-smsa on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0253
• Validation Loss: 0.3025
• Train Accuracy: 0.9
• 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': 420, '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
0.5261	0.2992	0.9059	0
0.2843	0.2773	0.8941	1
0.1874	0.3459	0.8706	2
0.1765	0.3533	0.8706	3
0.0829	0.2778	0.9059	4
0.0566	0.2593	0.8941	5
0.0394	0.2550	0.9176	6
0.0252	0.2876	0.9	7
0.0268	0.3052	0.8941	8
0.0253	0.3025	0.9	9

Framework versions

• Transformers 4.41.1
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1