metadata
tags:
- generated_from_keras_callback
model-index:
- name: aadhistii/smsa-tsel-indobert-base-p1-formal
results: []
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: 0.1716
- Validation Loss: 0.6720
- Train Precision: 0.7264
- Train Recall: 0.7282
- Train F1: 0.7269
- Train Accuracy: 0.7282
- Epoch: 3
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': 245, '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 Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.9910 | 0.7836 | 0.6950 | 0.6667 | 0.6676 | 0.6667 | 0 |
| 0.6311 | 0.7570 | 0.7090 | 0.6872 | 0.6783 | 0.6872 | 1 |
| 0.3513 | 0.6524 | 0.7658 | 0.7692 | 0.7651 | 0.7692 | 2 |
| 0.1716 | 0.6720 | 0.7264 | 0.7282 | 0.7269 | 0.7282 | 3 |
Framework versions
- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1