mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2112
- Accuracy: 0.9412
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 |
|---|
| 0.0251 | 0.1 | 625 | 0.2726 | 0.9134 |
| 2.5754 | 0.2 | 1250 | 0.2723 | 0.9224 |
| 0.3309 | 0.3 | 1875 | 0.2756 | 0.9278 |
| 0.0039 | 0.4 | 2500 | 0.2353 | 0.9302 |
| 0.0052 | 0.5 | 3125 | 0.2501 | 0.9256 |
| 1.0447 | 0.6 | 3750 | 0.2444 | 0.9326 |
| 1.6424 | 0.7 | 4375 | 0.2267 | 0.9376 |
| 0.003 | 0.8 | 5000 | 0.2205 | 0.9396 |
| 0.1615 | 0.9 | 5625 | 0.2120 | 0.9406 |
| 0.1928 | 1.0 | 6250 | 0.2112 | 0.9412 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
