| library_name: transformers | |
| base_model: mrm8488/bert-tiny-finetuned-sms-spam-detection | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: results | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # results | |
| This model is a fine-tuned version of [mrm8488/bert-tiny-finetuned-sms-spam-detection](https://huggingface.co/mrm8488/bert-tiny-finetuned-sms-spam-detection) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0884 | |
| - Accuracy: 0.5480 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 1.1383 | 1.0 | 42 | 1.1377 | 0.5367 | | |
| | 1.0594 | 2.0 | 84 | 1.0975 | 0.5424 | | |
| | 1.0472 | 3.0 | 126 | 1.0884 | 0.5480 | | |
| ### Framework versions | |
| - Transformers 4.49.0 | |
| - Pytorch 2.6.0+cpu | |
| - Datasets 3.3.2 | |
| - Tokenizers 0.21.1 | |