Alex034/typo_classifier_2023
This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2560
- Validation Loss: 0.2439
- Train Accuracy: 0.9079
- 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': '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': 12930, '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 |
---|---|---|---|
0.5254 | 0.4244 | 0.8645 | 0 |
0.3893 | 0.3439 | 0.8841 | 1 |
0.3352 | 0.3051 | 0.8900 | 2 |
0.3048 | 0.2825 | 0.8947 | 3 |
0.2858 | 0.2677 | 0.8993 | 4 |
0.2736 | 0.2580 | 0.9021 | 5 |
0.2671 | 0.2519 | 0.9044 | 6 |
0.2617 | 0.2475 | 0.9066 | 7 |
0.2586 | 0.2447 | 0.9079 | 8 |
0.2560 | 0.2439 | 0.9079 | 9 |
Framework versions
- Transformers 4.35.0
- TensorFlow 2.13.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Model tree for Alex034/typo_classifier_2023
Base model
cahya/bert-base-indonesian-1.5G