single_cls_mamba2-780
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1390
- Accuracy: 0.98
- Micro Precision: 0.98
- Micro Recall: 0.98
- Micro F1: 0.98
- Macro Precision: 0.9801
- Macro Recall: 0.9800
- Macro F1: 0.9800
- Weighted Precision: 0.9801
- Weighted Recall: 0.98
- Weighted F1: 0.9800
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: 8
- eval_batch_size: 8
- 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 | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Weighted Precision | Weighted Recall | Weighted F1 |
|---|
| 0.1215 | 1.0 | 1250 | 0.1308 | 0.972 | 0.972 | 0.972 | 0.972 | 0.9724 | 0.9720 | 0.9720 | 0.9724 | 0.972 | 0.9720 |
| 0.0312 | 2.0 | 2500 | 0.1271 | 0.981 | 0.981 | 0.981 | 0.981 | 0.9811 | 0.9810 | 0.9810 | 0.9811 | 0.981 | 0.9810 |
| 0.0231 | 3.0 | 3750 | 0.1410 | 0.979 | 0.979 | 0.979 | 0.979 | 0.9790 | 0.9790 | 0.9790 | 0.9790 | 0.979 | 0.9790 |
| 0.0025 | 4.0 | 5000 | 0.1497 | 0.982 | 0.982 | 0.982 | 0.982 | 0.9821 | 0.982 | 0.9820 | 0.9821 | 0.982 | 0.9820 |
| 0.0006 | 5.0 | 6250 | 0.1390 | 0.98 | 0.98 | 0.98 | 0.98 | 0.9801 | 0.9800 | 0.9800 | 0.9801 | 0.98 | 0.9800 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu118
- Datasets 3.1.0
- Tokenizers 0.19.1
