mamba_370m_imdb_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5286
- Accuracy: 0.712
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.1109 | 0.1 | 625 | 0.4201 | 0.852 |
| 0.9532 | 0.2 | 1250 | 0.3804 | 0.868 |
| 0.9931 | 0.3 | 1875 | 0.3834 | 0.868 |
| 0.3804 | 0.4 | 2500 | 0.3582 | 0.856 |
| 0.0376 | 0.5 | 3125 | 1.3456 | 0.64 |
| 0.8743 | 0.6 | 3750 | 0.3655 | 0.86 |
| 0.3276 | 0.7 | 4375 | 0.4749 | 0.764 |
| 0.3498 | 0.8 | 5000 | 0.5178 | 0.796 |
| 0.4449 | 0.9 | 5625 | 0.5278 | 0.728 |
| 0.6826 | 1.0 | 6250 | 0.5286 | 0.712 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
