metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mamba_text_classification
results: []
mamba_text_classification
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2717
- Accuracy: 0.9286
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 |
|---|---|---|---|---|
| 0.1395 | 0.1001 | 794 | 0.7047 | 0.8359 |
| 1.6796 | 0.2001 | 1588 | 0.4071 | 0.8688 |
| 0.1366 | 0.3002 | 2382 | 0.3954 | 0.8869 |
| 3.6069 | 0.4002 | 3176 | 0.3804 | 0.8946 |
| 0.0243 | 0.5003 | 3970 | 0.3265 | 0.9144 |
| 0.0027 | 0.6003 | 4764 | 0.2946 | 0.9188 |
| 0.0019 | 0.7004 | 5558 | 0.2919 | 0.9237 |
| 0.0 | 0.8004 | 6352 | 0.2816 | 0.9265 |
| 0.0045 | 0.9005 | 7146 | 0.2717 | 0.9286 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1