--- tags: - generated_from_keras_callback model-index: - name: aadhistii/tsel-finetune-indobert-base-p1-formal results: [] --- # aadhistii/tsel-finetune-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: 0.4891 - Validation Loss: 0.5644 - Train Precision: 0.7739 - Train Recall: 0.7739 - Train F1: 0.7739 - Epoch: 1 ## 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': 940, '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 | Epoch | |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:| | 0.8009 | 0.7030 | 0.7128 | 0.7128 | 0.7128 | 0 | | 0.4891 | 0.5644 | 0.7739 | 0.7739 | 0.7739 | 1 | ### Framework versions - Transformers 4.42.3 - TensorFlow 2.15.0 - Datasets 2.20.0 - Tokenizers 0.19.1