mamba_sec_category_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0895
- Accuracy: 0.985
- Precision: 0.985
- Recall: 0.985
- F1: 0.985
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|
| 0.0049 | 1.0 | 1000 | 0.0999 | 0.975 | 0.975 | 0.975 | 0.975 |
| 0.0002 | 2.0 | 2000 | 0.0895 | 0.985 | 0.985 | 0.985 | 0.985 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu118
- Datasets 3.1.0
- Tokenizers 0.19.1
