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Deep98/Canadian_Armed_Forces-clustered
This model is a fine-tuned version of nandysoham16/0-clustered_aug on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4369
- Train End Logits Accuracy: 0.8785
- Train Start Logits Accuracy: 0.8507
- Validation Loss: 1.3005
- Validation End Logits Accuracy: 0.6000
- Validation Start Logits Accuracy: 0.4000
- Epoch: 0
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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 18, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.4369 | 0.8785 | 0.8507 | 1.3005 | 0.6000 | 0.4000 | 0 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
