distilbert-foundation-category-c5
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: 0.3193
- Accuracy: 0.9335
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 |
|---|---|---|---|---|
| 0.3933 | 1.0 | 872 | 0.2370 | 0.9348 |
| 0.2115 | 2.0 | 1744 | 0.2543 | 0.9270 |
| 0.1592 | 3.0 | 2616 | 0.2666 | 0.9303 |
| 0.126 | 4.0 | 3488 | 0.2988 | 0.9296 |
| 0.0768 | 5.0 | 4360 | 0.3193 | 0.9335 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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