readme: ---
  license: apache-2.0
  tags:
  - image-classification
  - generated_from_trainer
  metrics:
  - accuracy
  datasets:
  - chest X-rays
  widget:
  - src: https://drive.google.com/uc?id=1ygVCyEn6mfsNwpT1ZvWxANg5_DvStA7M
    example_title: PNEUMONIA
  - src: https://drive.google.com/uc?id=1xjcIEDb8kuSd4wF44gCEgsc0PfRvs53m
    example_title: NORMAL
  model-index:
  - name: vit-finetuned-chest-xray-pneumonia
    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. -->
  
  # vit-finetuned-chest-xray-pneumonia
  
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the [chest-xray-pneumonia](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1271
  - Accuracy: 0.9551
  
  ## 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: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 326  | 0.2739          | 0.9167   |
  | 0.2238        | 2.0   | 652  | 0.2892          | 0.9071   |
  | 0.2238        | 3.0   | 978  | 0.2077          | 0.9407   |
  | 0.1385        | 4.0   | 1304 | 0.1349          | 0.9535   |
  | 0.1347        | 5.0   | 1630 | 0.1271          | 0.9551   |
  | 0.1347        | 6.0   | 1956 | 0.1458          | 0.9535   |
  | 0.1112        | 7.0   | 2282 | 0.2040          | 0.9375   |
  | 0.1063        | 8.0   | 2608 | 0.1423          | 0.9567   |
  | 0.1063        | 9.0   | 2934 | 0.1473          | 0.9535   |
  | 0.0944        | 10.0  | 3260 | 0.1385          | 0.9583   |
  
  ## Example Images
  #### Pneumonia Chest X-Ray
  ![Pneumonia](https://drive.google.com/uc?id=1yqnhD4Wjt4Y_NGLtijTGGaaw9GL497kQ)
  #### Normal Chest X-Ray
  ![Normal](https://drive.google.com/uc?id=1xjcIEDb8kuSd4wF44gCEgsc0PfRvs53m)
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  