CoolFace
Modelpublic

DELNORD/vit-beans-demo

sourceHugging Faceapache-2.0updated 18d agoView on Hugging Face
0likes58downloads
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. -->

vit-beans-demo

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1474
  • Accuracy: 0.9531

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: 16
  • evalbatchsize: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 4

Training results

Training LossEpochStepValidation LossAccuracy
0.22021.0650.16070.9624
0.12572.01300.11180.9774
0.09683.01950.13050.9699
0.13414.02600.09970.9774

Framework versions

  • Transformers 5.16.1
  • Pytorch 2.14.0+cu130
  • Datasets 5.0.1
  • Tokenizers 0.23.2