AllanK24/modernbert-Aegis-2.0-Wildguard-Content-Safety

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modernbert-Aegis-2.0-Wildguard-Content-Safety

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset.

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: 0.0002
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 4
• —optimizer: Use adamwtorchfused with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.50.3
• —Pytorch 2.6.0+cu126
• —Datasets 3.3.1
• —Tokenizers 0.21.0