anum231/cancer_classifier_100
This model is a fine-tuned version of anum231/cancer_classifier_100 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5354
- Validation Loss: 0.8077
- Train Accuracy: 0.6724
- Epoch: 22
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': 3e-05, 'decay_steps': 4640, '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 | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 1.0644 | 0.9210 | 0.5690 | 0 |
| 0.8927 | 0.8785 | 0.5345 | 1 |
| 0.8065 | 0.9131 | 0.6379 | 2 |
| 0.7085 | 0.7569 | 0.7241 | 3 |
| 0.7407 | 0.7963 | 0.6897 | 4 |
| 0.6635 | 0.8031 | 0.6897 | 5 |
| 0.7505 | 0.8074 | 0.6552 | 6 |
| 0.6149 | 0.8540 | 0.6379 | 7 |
| 0.6530 | 0.7823 | 0.6379 | 8 |
| 0.5969 | 0.8384 | 0.6552 | 9 |
| 0.6808 | 0.7863 | 0.6552 | 10 |
| 0.6269 | 0.8650 | 0.6552 | 11 |
| 0.5665 | 0.7941 | 0.6897 | 12 |
| 0.6414 | 0.8927 | 0.6552 | 13 |
| 0.7304 | 0.9703 | 0.6034 | 14 |
| 0.5518 | 0.9204 | 0.6552 | 15 |
| 0.6184 | 0.8850 | 0.6897 | 16 |
| 0.6397 | 0.8827 | 0.6724 | 17 |
| 0.5697 | 0.8658 | 0.6207 | 18 |
| 0.6103 | 0.8177 | 0.6379 | 19 |
| 0.5541 | 0.8526 | 0.6552 | 20 |
| 0.5831 | 0.8632 | 0.6379 | 21 |
| 0.5354 | 0.8077 | 0.6724 | 22 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1