Mamba for Text Classification
This model was trained from scratch on IMDB dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1901
- Accuracy: 0.9536
It achieves the following results on the evaluation set:
- Loss: 0.1981
- Accuracy: 0.94
Model description
Mamba model for text classification
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 |
|---|
| 0.0205 | 0.1 | 625 | 0.2462 | 0.928 |
| 0.671 | 0.2 | 1250 | 0.1958 | 0.9408 |
| 0.5961 | 0.3 | 1875 | 0.2661 | 0.9344 |
| 0.0167 | 0.4 | 2500 | 0.2171 | 0.9412 |
| 0.0007 | 0.5 | 3125 | 0.2095 | 0.9448 |
| 2.6807 | 0.6 | 3750 | 0.1888 | 0.9492 |
| 0.0155 | 0.7 | 4375 | 0.2249 | 0.95 |
| 0.0021 | 0.8 | 5000 | 0.1991 | 0.9528 |
| 0.0134 | 0.9 | 5625 | 0.1920 | 0.9524 |
| 0.1525 | 1.0 | 6250 | 0.1901 | 0.9536 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
