CoolFace
Modelpublic

touchtech/fashion-images-perspectives-vit-large-patch16-384-v1

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes3downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

fashion-images-perspectives-vit-large-patch16-384-v1

This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-perspectives-v2 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1572
  • —Accuracy: 0.9545

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
0.17661.034230.15720.9545
0.11082.068460.19680.9580
0.04563.0102690.20580.9607
0.01184.0136920.21660.9634
0.0075.0171150.22900.9642

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.3.2
  • —Tokenizers 0.21.0