--- tags: - generated_from_keras_callback model-index: - name: pre_train_bert results: [] --- # pre_train_bert This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 4.9692 - Validation Loss: 4.9819 - 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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 5.0941 | 4.9911 | 0 | | 4.9742 | 4.9628 | 1 | | 4.9660 | 4.9575 | 2 | | 4.9692 | 4.9819 | 3 | ### Framework versions - Transformers 4.41.1 - TensorFlow 2.15.0 - Datasets 2.19.1 - Tokenizers 0.19.1