You can deploy this model and start earning money today!

aadhistii/
indobert-lite-base-p1-finetuned-sentiment-analysis

Name: indobert-lite-base-p1-finetuned-sentiment-analysis
Availability: InStock

generated_from_keras_callback

indobenchmark/indobert-lite-base-p1

Views

No views yet

aadhistii/indobert-lite-base-p1-finetuned-sentiment-analysis

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: 0.2109
Validation Loss: 0.4579
Train Accuracy: 0.8191
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
0.8164	0.5814	0.7478	0
0.5053	0.4751	0.8243	1
0.3637	0.4479	0.8174	2
0.2570	0.4593	0.8191	3
0.2109	0.4579	0.8191	4

Framework versions

Transformers 4.42.3
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1