irdazh12/indobert-lite-base-p1-finetuned-smsa

This model is a fine-tuned version of indobenchmark/indobert-lite-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1868
• Validation Loss: 0.5094
• Train Accuracy: 0.8
• 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: {'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': 835, '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
0.7801	0.6185	0.7409	0
0.5082	0.5097	0.7965	1
0.3493	0.4898	0.8035	2
0.2277	0.5087	0.8	3
0.1868	0.5094	0.8	4

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.19.2
• Tokenizers 0.19.1