mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1792
- Accuracy: {'accuracy': 0.936}
- F1: {'f1': 0.9344262295081968}
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: 16
- 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 | F1 |
|---|
| 0.1361 | 0.1004 | 157 | 0.2596 | {'accuracy': 0.892} | {'f1': 0.8778280542986425} |
| 0.1835 | 0.2009 | 314 | 0.2199 | {'accuracy': 0.912} | {'f1': 0.9067796610169492} |
| 0.5121 | 0.3013 | 471 | 0.1870 | {'accuracy': 0.916} | {'f1': 0.9156626506024096} |
| 0.2751 | 0.4018 | 628 | 0.1886 | {'accuracy': 0.924} | {'f1': 0.9224489795918367} |
| 0.3423 | 0.5022 | 785 | 0.1977 | {'accuracy': 0.944} | {'f1': 0.9421487603305785} |
| 0.3017 | 0.6027 | 942 | 0.1722 | {'accuracy': 0.936} | {'f1': 0.9344262295081968} |
| 0.0069 | 0.7031 | 1099 | 0.1821 | {'accuracy': 0.932} | {'f1': 0.9306122448979591} |
| 0.0677 | 0.8036 | 1256 | 0.1775 | {'accuracy': 0.936} | {'f1': 0.9344262295081968} |
| 0.2241 | 0.9040 | 1413 | 0.1792 | {'accuracy': 0.936} | {'f1': 0.9344262295081968} |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
