mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1883
- Accuracy: 0.956
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 |
|---|
| 0.002 | 0.1 | 625 | 0.4226 | 0.884 |
| 1.0825 | 0.2 | 1250 | 0.2591 | 0.928 |
| 0.0285 | 0.3 | 1875 | 0.2231 | 0.936 |
| 0.5554 | 0.4 | 2500 | 0.2956 | 0.932 |
| 0.0007 | 0.5 | 3125 | 0.2617 | 0.928 |
| 2.6476 | 0.6 | 3750 | 0.2097 | 0.932 |
| 0.0066 | 0.7 | 4375 | 0.2415 | 0.924 |
| 0.0026 | 0.8 | 5000 | 0.1969 | 0.936 |
| 0.0702 | 0.9 | 5625 | 0.1897 | 0.94 |
| 0.4644 | 1.0 | 6250 | 0.1883 | 0.956 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
