nguyenkhoa/dinov2_LoRA_Liveness_detection_v1.1

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dinov2LoRALivenessdetectionv1.1

This model is a fine-tuned version of nguyenkhoa/dinov2_Liveness_detection_v2.1 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0243
• —Accuracy: 0.9917
• —F1: 0.9917
• —Recall: 0.9917
• —Precision: 0.9917

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: 5e-05
• —trainbatchsize: 512
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.19.1