aadhistii/tsel-finetune-indobert-base-p1-formal-v1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0058
• Validation Loss: 1.0176
• Train Precision: 0.7872
• Train Recall: 0.7872
• Train F1: 0.7872
• 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 940, '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 Precision	Train Recall	Train F1	Epoch
0.8278	0.6154	0.7447	0.7447	0.7447	0
0.5217	0.5614	0.7872	0.7872	0.7872	1
0.2524	0.6063	0.7394	0.7394	0.7394	2
0.0923	0.8341	0.7660	0.7660	0.7660	3
0.0524	0.9632	0.7261	0.7261	0.7261	4
0.0215	0.9419	0.7819	0.7819	0.7819	5
0.0174	1.0431	0.7553	0.7553	0.7553	6
0.0108	1.0288	0.75	0.75	0.75	7
0.0087	1.0092	0.7846	0.7846	0.7846	8
0.0058	1.0176	0.7872	0.7872	0.7872	9

Framework versions

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