aadhistii/tsel-finetune-indobertweet-base-uncased

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

• Train Loss: 0.0327
• Validation Loss: 0.9459
• Train Accuracy: 0.7158
• 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
0.8601	0.7077	0.6644	0
0.5567	0.6244	0.7021	1
0.3553	0.6691	0.7158	2
0.2105	0.7262	0.7055	3
0.1149	0.8374	0.7192	4
0.0804	0.8383	0.7021	5
0.0505	0.8974	0.7295	6
0.0399	0.9167	0.7055	7
0.0276	0.9310	0.7123	8
0.0327	0.9459	0.7158	9

Framework versions

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