Edit model card

image_classification

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

  • Loss: 1.6432
  • Accuracy: 0.3688

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 40 1.8982 0.3
No log 2.0 80 1.6882 0.3438
No log 3.0 120 1.6481 0.3812

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.2.0.dev20230906
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
1

Finetuned from

Evaluation results