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AHarbury/debiasNLPFinal
This model is a fine-tuned version of d4data/bias-detection-model on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4182
- Train Accuracy: 0.7945
- Validation Loss: 0.6095
- Validation Accuracy: 0.6977
- Epoch: 5
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': 5e-05, 'decay_steps': 80700, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.6165 | 0.6467 | 0.5900 | 0.6637 | 0 |
| 0.5788 | 0.6844 | 0.5746 | 0.6892 | 1 |
| 0.5392 | 0.7147 | 0.5621 | 0.7017 | 2 |
| 0.5016 | 0.7416 | 0.5784 | 0.6967 | 3 |
| 0.4573 | 0.7714 | 0.5928 | 0.6957 | 4 |
| 0.4182 | 0.7945 | 0.6095 | 0.6977 | 5 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
