--- license: mit base_model: indolem/indobert-base-uncased tags: - generated_from_keras_callback model-index: - name: arthd24/indobert_artha_tf results: [] --- # arthd24/indobert_artha_tf This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.0690 - Validation Loss: 1.5556 - Train Balanced accuracy: 0.5063 - Epoch: 6 ## 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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 3e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 54890, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 100, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Train Balanced accuracy | Epoch | |:----------:|:---------------:|:-----------------------:|:-----:| | 0.1220 | 1.3476 | 0.5053 | 0 | | 0.1081 | 1.3003 | 0.5210 | 1 | | 0.0979 | 1.2698 | 0.4981 | 2 | | 0.0811 | 1.3053 | 0.5019 | 3 | | 0.0808 | 1.2385 | 0.5034 | 4 | | 0.0875 | 1.3968 | 0.5226 | 5 | | 0.0690 | 1.5556 | 0.5063 | 6 | ### Framework versions - Transformers 4.41.2 - TensorFlow 2.15.0 - Datasets 2.20.0 - Tokenizers 0.19.1