| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/electra-base-discriminator |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: electra-base-discriminator-jailbreakv-28k |
| 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. --> |
|
|
| # electra-base-discriminator-jailbreakv-28k |
|
|
| This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0000 |
| - Accuracy: 1.0 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.0003 | 1.0 | 1121 | 0.0001 | 1.0 | |
| | 0.0001 | 2.0 | 2242 | 0.0000 | 1.0 | |
| | 0.0000 | 3.0 | 3363 | 0.0000 | 1.0 | |
| | 0.0000 | 4.0 | 4484 | 0.0000 | 1.0 | |
| | 0.0000 | 5.0 | 5605 | 0.0000 | 1.0 | |
| | 0.0000 | 6.0 | 6726 | 0.0000 | 1.0 | |
| | 0.0000 | 7.0 | 7847 | 0.0000 | 1.0 | |
| | 0.0000 | 8.0 | 8968 | 0.0000 | 1.0 | |
| | 0.0000 | 9.0 | 10089 | 0.0000 | 1.0 | |
| | 0.0000 | 10.0 | 11210 | 0.0000 | 1.0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.2.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.2 |
| |
