mamba_text_classification_v1
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5314
- Accuracy: 0.7525
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.2683 | 1.0 | 507 | 0.6658 | 0.7723 |
| 0.0057 | 2.0 | 1014 | 0.8030 | 0.7822 |
| 0.0004 | 3.0 | 1521 | 0.7502 | 0.8119 |
| 0.0002 | 4.0 | 2028 | 0.8550 | 0.8119 |
| 1.2573 | 5.0 | 2535 | 1.1687 | 0.7426 |
| 0.0 | 6.0 | 3042 | 1.2330 | 0.7921 |
| 0.0003 | 7.0 | 3549 | 1.5244 | 0.7624 |
| 0.0 | 8.0 | 4056 | 1.4970 | 0.7624 |
| 0.0 | 9.0 | 4563 | 1.5269 | 0.7525 |
| 0.0002 | 10.0 | 5070 | 1.5314 | 0.7525 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
