hate_speech_model
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0413
- Train Accuracy: 0.9869
- Validation Loss: 0.4046
- Validation Accuracy: 0.9072
- Epoch: 2
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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3720, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
---|---|---|---|---|
0.1590 | 0.9423 | 0.3013 | 0.9143 | 0 |
0.0909 | 0.9684 | 0.3598 | 0.8951 | 1 |
0.0413 | 0.9869 | 0.4046 | 0.9072 | 2 |
Framework versions
- Transformers 4.48.3
- TensorFlow 2.18.0
- Tokenizers 0.21.0
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