---
license: apache-2.0
base_model: markussagen/xlm-roberta-longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: detectors_god2
  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. -->

# detectors_god2

This model is a fine-tuned version of [markussagen/xlm-roberta-longformer-base-4096](https://huggingface.co/markussagen/xlm-roberta-longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7154
- eval_accuracy: 0.9620
- eval_precision_safe: 0.9748
- eval_recall_safe: 0.9547
- eval_precision_jailbroken: 0.9474
- eval_recall_jailbroken: 0.9706
- eval_confusion_matrix: [[232  11]
 [  6 198]]
- eval_runtime: 8.6182
- eval_samples_per_second: 51.867
- eval_steps_per_second: 3.249
- epoch: 0.99
- step: 63

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1