--- license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_keras_callback model-index: - name: ashhadahsan/amazon-theme-bert-base-finetuned-finetuned results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # ashhadahsan/amazon-theme-bert-base-finetuned-finetuned This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 1.6665 - Train Accuracy: 0.5196 - Validation Loss: 1.4591 - Validation Accuracy: 0.5767 - Epoch: 0 ## 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': 1.0, '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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | 1.6665 | 0.5196 | 1.4591 | 0.5767 | 0 | ### Framework versions - Transformers 4.34.1 - TensorFlow 2.12.0 - Datasets 2.14.5 - Tokenizers 0.14.1