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tommilyjones/swin-tiny-patch4-window7-224-finetuned-masked-hateful-meme-restructured

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

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swin-tiny-patch4-window7-224-finetuned-masked-hateful-meme-restructured

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: 0.7166
  • —Accuracy: 0.53

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: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.65070.99660.73520.502
0.64112.01330.70700.528
0.62682.991990.71660.53
0.60074.02660.79340.506
0.58754.993320.80530.52
0.55546.03990.75340.524
0.56136.994650.80750.524
0.57148.05320.78820.522
0.52448.995980.83800.518
0.52519.926600.83310.52

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3