mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3710
- Accuracy: 0.8993
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 |
|---|
| 0.0072 | 0.1 | 1487 | 0.4826 | 0.8833 |
| 0.9742 | 0.2 | 2974 | 0.4212 | 0.8689 |
| 1.9626 | 0.3 | 4461 | 0.4013 | 0.8949 |
| 0.0048 | 0.4 | 5948 | 0.4107 | 0.8954 |
| 0.9199 | 0.5 | 7435 | 0.3877 | 0.8938 |
| 1.3472 | 0.6 | 8922 | 0.4172 | 0.8949 |
| 0.1115 | 0.7 | 10409 | 0.3733 | 0.8971 |
| 0.1208 | 0.8 | 11896 | 0.3935 | 0.8998 |
| 0.0072 | 0.9 | 13383 | 0.3710 | 0.8993 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
