apwic/indobert-base-uncased-lora-nergrit

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

• Train Loss: 0.1277
• Validation Loss: 0.1806
• Train Accuracy: 0.9468
• 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2352, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.4709	0.2069	0.9399	0
0.1823	0.1855	0.9441	1
0.1402	0.1806	0.9468	2
0.1287	0.1806	0.9468	3
0.1280	0.1806	0.9468	4
0.1278	0.1806	0.9468	5
0.1285	0.1806	0.9468	6
0.1279	0.1806	0.9468	7
0.1289	0.1806	0.9468	8
0.1277	0.1806	0.9468	9

Framework versions

• PEFT 0.5.0
• PEFT 0.5.0
• Transformers 4.33.0
• TensorFlow 2.12.0
• Datasets 2.14.6
• Tokenizers 0.13.3