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End of training
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metadata
license: apache-2.0
base_model: google/vit-large-patch16-224-in21k
tags:
  - image-classification
  - vision
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: fashion-images-pack-types-vit-large-patch16-224-in21k-v3
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: touchtech/fashion-images-pack-types
          type: imagefolder
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9908103592314118

fashion-images-pack-types-vit-large-patch16-224-in21k-v3

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0485
  • Accuracy: 0.9908

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Accuracy Validation Loss
0.1662 1.0 1696 0.9737 0.1074
0.116 2.0 3392 0.9816 0.0545
0.091 3.0 5088 0.9850 0.0647
0.0601 4.0 6784 0.0502 0.9887
0.0438 5.0 8480 0.0485 0.9908

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3