bert_classification_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0028
- Accuracy: 0.9996
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 0.2591 | 1.0 | 585 | 0.0041 | 0.9996 |
| 0.0069 | 2.0 | 1170 | 0.0028 | 0.9996 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.20.1
