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detector_god2 – AI Model by Sydelabs | AlphaNeural AI
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detector_god2
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
markussagen/xlm-roberta-longformer-base-4096
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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detectors_god2
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: 0.7154
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
