readme: ---
  license: apache-2.0
  tags:
  - image-classification
  - huggingpics
  - generated_from_trainer
  model-index:
  - name: huggingpics-package-demo
    results: []
  ---
  
  <!-- 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. -->
  
  # huggingpics-package-demo
  
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3761
  - Acc: 0.9403
  
  ## 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: 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: 4.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.0328        | 1.0   | 24   | 0.9442          | 0.7463 |
  | 0.8742        | 2.0   | 48   | 0.7099          | 0.9403 |
  | 0.6451        | 3.0   | 72   | 0.5050          | 0.9403 |
  | 0.508         | 4.0   | 96   | 0.3761          | 0.9403 |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.9.0+cu111
  - Tokenizers 0.10.3
  