distilbert-base-uncased-survey-identical-category-0.0.1
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: 0.0000
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 344 | 0.0003 | 1.0 |
| 0.024 | 2.0 | 688 | 0.0001 | 1.0 |
| 0.0001 | 3.0 | 1032 | 0.0000 | 1.0 |
| 0.0001 | 4.0 | 1376 | 0.0000 | 1.0 |
| 0.0 | 5.0 | 1720 | 0.0000 | 1.0 |
| 0.0 | 6.0 | 2064 | 0.0000 | 1.0 |
| 0.0 | 7.0 | 2408 | 0.0000 | 1.0 |
| 0.0 | 8.0 | 2752 | 0.0000 | 1.0 |
| 0.0 | 9.0 | 3096 | 0.0000 | 1.0 |
| 0.0 | 10.0 | 3440 | 0.0000 | 1.0 |
| 0.0 | 11.0 | 3784 | 0.0000 | 1.0 |
| 0.0 | 12.0 | 4128 | 0.0000 | 1.0 |
| 0.0 | 13.0 | 4472 | 0.0000 | 1.0 |
| 0.0 | 14.0 | 4816 | 0.0000 | 1.0 |
| 0.0012 | 15.0 | 5160 | 0.0000 | 1.0 |
| 0.0015 | 16.0 | 5504 | 0.0000 | 1.0 |
| 0.0015 | 17.0 | 5848 | 0.0000 | 1.0 |
| 0.0 | 18.0 | 6192 | 0.0000 | 1.0 |
| 0.0 | 19.0 | 6536 | 0.0000 | 1.0 |
| 0.0 | 20.0 | 6880 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0