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touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v3

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

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fashion-images-perspectives-vit-large-patch16-224-in21k-v3

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-perspectives dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2419
  • —Accuracy: 0.9246

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 1337
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5.0

Training results

Training LossEpochStepValidation LossAccuracy
0.43531.030700.33950.8812
0.34152.061400.25440.9192
0.26893.092100.24190.9246
0.25254.0122800.29530.9192
0.19775.0153500.24440.9356

Framework versions

  • —Transformers 4.33.0.dev0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3