README.md

---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_keras_callback
model-index:
- name: albert-spam-filter
  results: []
---

# albert-spam-filter

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an [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