mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2028
- Accuracy: 0.9456
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.0068 | 0.1 | 625 | 0.2555 | 0.92 |
| 2.1804 | 0.2 | 1250 | 0.2256 | 0.928 |
| 0.0476 | 0.3 | 1875 | 0.2756 | 0.9264 |
| 0.0076 | 0.4 | 2500 | 0.2542 | 0.9324 |
| 0.0135 | 0.5 | 3125 | 0.2057 | 0.9376 |
| 1.1704 | 0.6 | 3750 | 0.2243 | 0.9364 |
| 2.2951 | 0.7 | 4375 | 0.2177 | 0.9404 |
| 0.0069 | 0.8 | 5000 | 0.2136 | 0.938 |
| 0.0039 | 0.9 | 5625 | 0.1977 | 0.9448 |
| 0.1154 | 1.0 | 6250 | 0.2028 | 0.9456 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
