mamba_sto_tag_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1077
- Flat Accuracy: 0.9623
- Accuracy: 0.7252
- Precision: 0.8487
- Recall: 0.8771
- F1 Score: 0.8627
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Flat Accuracy | Accuracy | Precision | Recall | F1 Score |
|---|
| 0.0269 | 0.25 | 2500 | 0.1188 | 0.9595 | 0.7137 | 0.8598 | 0.8362 | 0.8479 |
| 0.4269 | 0.5 | 5000 | 0.1081 | 0.9628 | 0.7315 | 0.8650 | 0.8581 | 0.8616 |
| 0.158 | 0.75 | 7500 | 0.1061 | 0.9628 | 0.7314 | 0.8569 | 0.8691 | 0.8630 |
| 0.1028 | 1.0 | 10000 | 0.1077 | 0.9623 | 0.7252 | 0.8487 | 0.8771 | 0.8627 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu118
- Datasets 3.1.0
- Tokenizers 0.19.1
