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# detectors_legit_user

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: 0.0005
- eval_accuracy: 1.0
- eval_precision_safe: 1.0
- eval_recall_safe: 1.0
- eval_precision_jailbroken: 1.0
- eval_recall_jailbroken: 1.0
- eval_runtime: 6.8117
- eval_samples_per_second: 46.391
- eval_steps_per_second: 2.936
- epoch: 4.0
- step: 158

## 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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "markussagen/xlm-roberta-longformer-base-4096", "model-index": [{"name": "detectors_legit_user", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:markussagen/xlm-roberta-longformer-base-4096 license:apache-2.0 autotrain_compatible endpoints_compatible region:us