metadata
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: aadhistii/tsel-finetune-indobertweet-base-uncased
results: []
aadhistii/tsel-finetune-indobertweet-base-uncased
This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0327
- Validation Loss: 0.9459
- Train Accuracy: 0.7158
- 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': 730, '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 |
|---|---|---|---|
| 0.8601 | 0.7077 | 0.6644 | 0 |
| 0.5567 | 0.6244 | 0.7021 | 1 |
| 0.3553 | 0.6691 | 0.7158 | 2 |
| 0.2105 | 0.7262 | 0.7055 | 3 |
| 0.1149 | 0.8374 | 0.7192 | 4 |
| 0.0804 | 0.8383 | 0.7021 | 5 |
| 0.0505 | 0.8974 | 0.7295 | 6 |
| 0.0399 | 0.9167 | 0.7055 | 7 |
| 0.0276 | 0.9310 | 0.7123 | 8 |
| 0.0327 | 0.9459 | 0.7158 | 9 |
Framework versions
- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1