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hchcsuim/FFPP-Raw_1FPS_faces-expand-30-aligned

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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FFPP-Raw1FPSfaces-expand-30-aligned

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0276
  • —Accuracy: 0.9898

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
0.1331.07090.07620.9704
0.07932.014180.05030.9803
0.05213.021270.02760.9898

Framework versions

  • —Transformers 4.34.0
  • —Pytorch 2.2.1
  • —Datasets 2.14.5
  • —Tokenizers 0.14.1