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touchtech/fashion-images-perspectives-vit-large-patch16-384-v2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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fashion-images-perspectives-vit-large-patch16-384-v2

This model is a fine-tuned version of google/vit-large-patch16-384 on the /workspace/fashion-images-perspectives-v4 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1395
  • —Accuracy: 0.9655

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: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 5.0

Training results

Training LossEpochStepValidation LossAccuracy
0.17471.055310.20320.9456
0.08362.0110620.13950.9655
0.04793.0165930.15640.9675
0.01564.0221240.17450.9700
0.00655.0276550.19480.9690

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.4.1
  • —Tokenizers 0.21.1