mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2245
- Accuracy: 0.9426
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.4457 | 0.1 | 625 | 0.3369 | 0.8854 |
| 0.3761 | 0.2 | 1250 | 0.2416 | 0.9246 |
| 0.2872 | 0.3 | 1875 | 0.3062 | 0.923 |
| 0.318 | 0.4 | 2500 | 0.2761 | 0.9198 |
| 0.2845 | 0.5 | 3125 | 0.2261 | 0.9398 |
| 0.2829 | 0.6 | 3750 | 0.2356 | 0.941 |
| 0.2431 | 0.7 | 4375 | 0.2351 | 0.9416 |
| 0.2407 | 0.8 | 5000 | 0.2303 | 0.9418 |
| 0.2174 | 0.9 | 5625 | 0.2257 | 0.9426 |
| 0.2454 | 1.0 | 6250 | 0.2245 | 0.9426 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
