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 | |