distilbert-sql-timeout-classifier-2024022823
This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6255
- Accuracy: 0.8432
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.3076 | 1.0 | 702 | 0.4457 | 0.8545 |
| 0.139 | 2.0 | 1404 | 0.5291 | 0.8296 |
| 0.0807 | 3.0 | 2106 | 0.6255 | 0.8432 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
