---
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