| license: apache-2.0 | |
| base_model: albert-base-v2 | |
| tags: | |
| - generated_from_keras_callback | |
| model-index: | |
| - name: albert-spam-filter | |
| results: [] | |
| datasets: | |
| - NotShrirang/email-spam-filter | |
| language: | |
| - en | |
| library_name: transformers | |
| pipeline_tag: text-classification | |
| # albert-spam-filter | |
| This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on [this](https://huggingface.co/datasets/NotShrirang/email-spam-filter) dataset. | |
| ### 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': 1130, '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 | |
| ### Framework versions | |
| - Transformers 4.34.0 | |
| - TensorFlow 2.13.0 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.14.1 |