model

• Train Loss: 0.0798
• Validation Loss: 0.0372
• Train Precision: 0.9610
• Train Recall: 0.9634
• Train F1: 0.9622
• Train Accuracy: 0.9887
• Epoch: 0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 937, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Framework versions

• Transformers 4.47.0
• TensorFlow 2.18.0
• Datasets 3.2.0
• Tokenizers 0.21.0