metadata
library_name: transformers
license: mit
base_model: indobenchmark/indobert-base-p1
tags:
- generated_from_keras_callback
model-index:
- name: damand2061/pfsa-id-indobert-nlu
results: []
damand2061/pfsa-id-indobert-nlu
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0564
- Validation Loss: 0.3296
- Validation F1: 0.8278
- Validation Accuracy: 0.9226
- 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 10440, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Validation F1 | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.3292 | 0.2490 | 0.7686 | 0.9169 | 0 |
| 0.2018 | 0.2370 | 0.8140 | 0.9267 | 1 |
| 0.1353 | 0.2506 | 0.8206 | 0.9220 | 2 |
| 0.0842 | 0.2787 | 0.8220 | 0.9263 | 3 |
| 0.0564 | 0.3296 | 0.8278 | 0.9226 | 4 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 2.21.0
- Tokenizers 0.19.1