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aadhistii/smsa-tsel-indobert-base-p1-formal

sourceHugging Faceupdated 2y agoView on Hugging Face

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aadhistii/smsa-tsel-indobert-base-p1-formal

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

—Train Loss: 0.0770
—Validation Loss: 0.7057
—Train Precision: 0.7275
—Train Recall: 0.7282
—Train F1: 0.7278
—Train Accuracy: 0.7282
—Epoch: 8

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', 'weightdecay': None, 'clipnorm': None, 'globalclipnorm': None, 'clipvalue': None, 'useema': False, 'emamomentum': 0.99, 'emaoverwritefrequency': None, 'jitcompile': True, 'islegacyoptimizer': False, 'learningrate': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': 245, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'beta1': 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	Train Accuracy	Epoch
0.0805	0.7057	0.7275	0.7282	0.7278	0.7282	0
0.0776	0.7057	0.7275	0.7282	0.7278	0.7282	1
0.0828	0.7057	0.7275	0.7282	0.7278	0.7282	2
0.0786	0.7057	0.7275	0.7282	0.7278	0.7282	3
0.0824	0.7057	0.7275	0.7282	0.7278	0.7282	4
0.0787	0.7057	0.7275	0.7282	0.7278	0.7282	5
0.0817	0.7057	0.7275	0.7282	0.7278	0.7282	6
0.0811	0.7057	0.7275	0.7282	0.7278	0.7282	7
0.0770	0.7057	0.7275	0.7282	0.7278	0.7282	8

Framework versions

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