casino-search-query-intent-classifier
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3191
- Accuracy: 0.9922
- F1: 0.9922
- Precision: 0.9923
- Recall: 0.9922
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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 169 | 1.0933 | 0.4119 | 0.3048 | 0.4485 | 0.4119 |
| No log | 2.0 | 338 | 0.9162 | 0.6516 | 0.5873 | 0.7319 | 0.6516 |
| 0.9908 | 3.0 | 507 | 0.7124 | 0.7759 | 0.7617 | 0.8035 | 0.7759 |
| 0.9908 | 4.0 | 676 | 0.5941 | 0.9275 | 0.9270 | 0.9291 | 0.9275 |
| 0.9908 | 5.0 | 845 | 0.5042 | 0.9611 | 0.9610 | 0.9619 | 0.9611 |
| 0.5708 | 6.0 | 1014 | 0.3974 | 0.9832 | 0.9831 | 0.9833 | 0.9832 |
| 0.5708 | 7.0 | 1183 | 0.3191 | 0.9922 | 0.9922 | 0.9923 | 0.9922 |
| 0.5708 | 8.0 | 1352 | 0.2709 | 0.9922 | 0.9922 | 0.9923 | 0.9922 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1.post8
- Datasets 2.21.0
- Tokenizers 0.21.0