distilbert-foundation-category-c6
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: 0.3598
- Accuracy: 0.9226
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4048 | 1.0 | 873 | 0.2698 | 0.9220 |
| 0.2117 | 2.0 | 1746 | 0.2995 | 0.9246 |
| 0.1559 | 3.0 | 2619 | 0.2997 | 0.9265 |
| 0.1297 | 4.0 | 3492 | 0.3366 | 0.9220 |
| 0.0932 | 5.0 | 4365 | 0.3598 | 0.9226 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0