distilbert-base-uncased-survey-identical-category-0.0.2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 344 | 0.0004 | 1.0 |
| 0.0259 | 2.0 | 688 | 0.0002 | 1.0 |
| 0.0021 | 3.0 | 1032 | 0.0001 | 1.0 |
| 0.0021 | 4.0 | 1376 | 0.0001 | 1.0 |
| 0.0001 | 5.0 | 1720 | 0.0001 | 1.0 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0