metadata

license: apache-2.0
base_model: markussagen/xlm-roberta-longformer-base-4096
tags:
  - generated_from_trainer
model-index:
  - name: detectors_legit_user
    results: []

detectors_legit_user

This model is a fine-tuned version of markussagen/xlm-roberta-longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0591
eval_accuracy: 0.9934
eval_precision_safe: 0.9918
eval_recall_safe: 1.0
eval_precision_jailbroken: 1.0
eval_recall_jailbroken: 0.9681
eval_runtime: 19.1867
eval_samples_per_second: 47.481
eval_steps_per_second: 2.971
epoch: 4.0
step: 114

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