| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: roberta-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Vulnerability_continuous |
| | 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. --> |
| |
|
| | # Vulnerability_continuous |
| | |
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0401 |
| | - Rmse: 0.2003 |
| | - Mae: 0.1621 |
| | - Corr: 0.3595 |
| | |
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
| | | No log | 1.0 | 268 | 0.0402 | 0.2005 | 0.1615 | 0.3356 | |
| | | 0.0464 | 2.0 | 536 | 0.0408 | 0.2020 | 0.1648 | 0.3461 | |
| | | 0.0464 | 3.0 | 804 | 0.0401 | 0.2003 | 0.1621 | 0.3595 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.1 |
| | - Pytorch 1.11.0 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.19.1 |
| | |
