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topic_classification_03
This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0459
- Train Sparse Categorical Accuracy: 0.6535
- Validation Loss: 1.1181
- Validation Sparse Categorical Accuracy: 0.6354
- 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|
| 1.2710 | 0.5838 | 1.1683 | 0.6156 | 0 |
| 1.1546 | 0.6193 | 1.1376 | 0.6259 | 1 |
| 1.1163 | 0.6314 | 1.1247 | 0.6292 | 2 |
| 1.0888 | 0.6400 | 1.1253 | 0.6323 | 3 |
| 1.0662 | 0.6473 | 1.1182 | 0.6344 | 4 |
| 1.0459 | 0.6535 | 1.1181 | 0.6354 | 5 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.9.1
- Datasets 2.3.2
- Tokenizers 0.12.1
