--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: abdelmageed/reviews_classification2 results: [] --- # abdelmageed/reviews_classification2 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.0727 - Validation Loss: 0.8048 - Train Accuracy: 0.8007 - 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 12730, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 Accuracy | Epoch | |:----------:|:---------------:|:--------------:|:-----:| | 0.5965 | 0.6820 | 0.7169 | 0 | | 0.3524 | 0.5715 | 0.7821 | 1 | | 0.1814 | 0.7006 | 0.7821 | 2 | | 0.0727 | 0.8048 | 0.8007 | 3 | ### Framework versions - Transformers 4.26.1 - TensorFlow 2.11.0 - Datasets 2.10.0 - Tokenizers 0.13.2