CoolFace
Modelpublic

touchtech/fashion-images-gender-age-vit-large-patch16-384-v1

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes346downloads
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-gender-age-vit-large-patch16-384-v1

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

  • —Loss: 0.0306
  • —Accuracy: 0.9951

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
0.0841.024570.04230.9905
0.02332.049140.03530.9928
0.0093.073710.04040.9942
0.00564.098280.03120.9951
0.05.0122850.03060.9951

Framework versions

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