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
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Base model
markussagen/xlm-roberta-longformer-base-4096