distilbert-query-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: 0.5211
- Accuracy: 1.0
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:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6723 | 1.0 | 5 | 0.6454 | 0.9 |
| 0.6278 | 2.0 | 10 | 0.6093 | 1.0 |
| 0.6014 | 3.0 | 15 | 0.5759 | 1.0 |
| 0.5738 | 4.0 | 20 | 0.5474 | 1.0 |
| 0.5411 | 5.0 | 25 | 0.5211 | 1.0 |
Framework versions
- Transformers 5.19.0
- Pytorch 2.14.1+cpu
- Datasets 5.1.0
- Tokenizers 0.23.2
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Model tree for Duck859555656/distilbert-query-classifier
Base model
distilbert/distilbert-base-uncased