griseldans/deepfake_vs_real_image_detection_v2

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deepfakevsrealimagedetection_v2

This model is a fine-tuned version of dima806/deepfake_vs_real_image_detection on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 1.7467
• —evalmodelpreparation_time: 0.003
• —eval_accuracy: 0.6448
• —eval_runtime: 214.8807
• —evalsamplesper_second: 224.259
• —evalstepsper_second: 28.034
• —step: 0

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-06
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.57.2
• —Pytorch 2.9.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.1