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---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: vit-base-patch16-224-in21k_covid_19_ct_scans
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8887841658812441
    - name: F1
      type: f1
      value: 0.7572553125484722
    - name: Recall
      type: recall
      value: 0.9729119638826185
    - name: Precision
      type: precision
      value: 0.9016736401673641
---

<!-- 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-base-patch16-224-in21k_covid_19_ct_scans

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 imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7287
- Accuracy: 0.8888
- F1: 0.7573
- Auc: 0.7179
- Recall: 0.9729
- Precision: 0.9017

## 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: 0.0002
- 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: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Auc    | Recall | Precision |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:---------:|
| 0.768         | 1.0   | 266   | 0.4546          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4516        | 2.0   | 532   | 0.4498          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4516        | 3.0   | 798   | 0.4492          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4521        | 4.0   | 1064  | 0.4486          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4521        | 5.0   | 1330  | 0.4457          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4415        | 6.0   | 1596  | 0.4422          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4415        | 7.0   | 1862  | 0.4249          | 0.8351   | 0.4551 | 0.5    | 1.0    | 0.8351    |
| 0.4344        | 8.0   | 2128  | 0.4644          | 0.8351   | 0.4966 | 0.5183 | 0.9910 | 0.8402    |
| 0.4344        | 9.0   | 2394  | 0.4209          | 0.8407   | 0.5272 | 0.5355 | 0.9910 | 0.8450    |
| 0.3848        | 10.0  | 2660  | 0.4336          | 0.8030   | 0.6572 | 0.6642 | 0.8713 | 0.8904    |
| 0.3848        | 11.0  | 2926  | 0.4307          | 0.8407   | 0.6595 | 0.6387 | 0.9402 | 0.8778    |
| 0.2882        | 12.0  | 3192  | 0.5094          | 0.8219   | 0.6913 | 0.7007 | 0.8815 | 0.9029    |
| 0.2882        | 13.0  | 3458  | 0.4620          | 0.8520   | 0.6637 | 0.6363 | 0.9582 | 0.8762    |
| 0.1654        | 14.0  | 3724  | 0.5891          | 0.8351   | 0.7142 | 0.7247 | 0.8894 | 0.9110    |
| 0.1654        | 15.0  | 3990  | 0.5602          | 0.8417   | 0.6940 | 0.6828 | 0.9199 | 0.8936    |
| 0.0868        | 16.0  | 4256  | 0.5928          | 0.8690   | 0.7114 | 0.6785 | 0.9628 | 0.8895    |
| 0.045         | 17.0  | 4522  | 0.6154          | 0.8633   | 0.7268 | 0.7072 | 0.9402 | 0.9005    |
| 0.045         | 18.0  | 4788  | 0.6358          | 0.8680   | 0.7370 | 0.7169 | 0.9424 | 0.9037    |
| 0.021         | 19.0  | 5054  | 0.8247          | 0.8530   | 0.7379 | 0.7423 | 0.9074 | 0.9157    |
| 0.021         | 20.0  | 5320  | 0.9930          | 0.8473   | 0.7229 | 0.7229 | 0.9086 | 0.9086    |
| 0.0136        | 21.0  | 5586  | 0.5601          | 0.8652   | 0.7262 | 0.7038 | 0.9447 | 0.8990    |
| 0.0136        | 22.0  | 5852  | 0.6475          | 0.8699   | 0.6935 | 0.6562 | 0.9752 | 0.8816    |
| 0.0464        | 23.0  | 6118  | 0.5767          | 0.8567   | 0.7273 | 0.7170 | 0.9255 | 0.9051    |
| 0.0464        | 24.0  | 6384  | 0.7394          | 0.8501   | 0.7369 | 0.7452 | 0.9018 | 0.9173    |
| 0.0438        | 25.0  | 6650  | 0.7622          | 0.8680   | 0.6781 | 0.6413 | 0.9797 | 0.8768    |
| 0.0438        | 26.0  | 6916  | 0.7617          | 0.8831   | 0.7509 | 0.7168 | 0.9650 | 0.9019    |
| 0.0126        | 27.0  | 7182  | 0.8841          | 0.8624   | 0.7354 | 0.7227 | 0.9312 | 0.9066    |
| 0.0126        | 28.0  | 7448  | 0.7538          | 0.8784   | 0.7544 | 0.7300 | 0.9515 | 0.9074    |
| 0.016         | 29.0  | 7714  | 0.7106          | 0.8718   | 0.6709 | 0.6321 | 0.9898 | 0.8735    |
| 0.016         | 30.0  | 7980  | 0.6112          | 0.8756   | 0.7251 | 0.6893 | 0.9673 | 0.8927    |
| 0.0384        | 31.0  | 8246  | 0.5990          | 0.8784   | 0.7271 | 0.6887 | 0.9718 | 0.8922    |
| 0.0276        | 32.0  | 8512  | 0.6617          | 0.8850   | 0.7411 | 0.6996 | 0.9763 | 0.8954    |
| 0.0276        | 33.0  | 8778  | 0.7069          | 0.8907   | 0.7599 | 0.7190 | 0.9752 | 0.9019    |
| 0.0109        | 34.0  | 9044  | 0.8042          | 0.8746   | 0.6974 | 0.6567 | 0.9819 | 0.8815    |
| 0.0109        | 35.0  | 9310  | 0.7706          | 0.8831   | 0.7369 | 0.6962 | 0.9752 | 0.8944    |
| 0.0028        | 36.0  | 9576  | 0.8394          | 0.8869   | 0.7516 | 0.7122 | 0.9729 | 0.8998    |
| 0.0028        | 37.0  | 9842  | 0.8954          | 0.8850   | 0.7475 | 0.7087 | 0.9718 | 0.8987    |
| 0.0076        | 38.0  | 10108 | 0.9389          | 0.8850   | 0.7475 | 0.7087 | 0.9718 | 0.8987    |
| 0.0076        | 39.0  | 10374 | 0.9697          | 0.8850   | 0.7475 | 0.7087 | 0.9718 | 0.8987    |
| 0.0001        | 40.0  | 10640 | 0.9954          | 0.8850   | 0.7475 | 0.7087 | 0.9718 | 0.8987    |
| 0.0001        | 41.0  | 10906 | 1.0169          | 0.8850   | 0.7475 | 0.7087 | 0.9718 | 0.8987    |
| 0.0           | 42.0  | 11172 | 1.0381          | 0.8860   | 0.7488 | 0.7093 | 0.9729 | 0.8989    |
| 0.0           | 43.0  | 11438 | 1.0582          | 0.8860   | 0.7488 | 0.7093 | 0.9729 | 0.8989    |
| 0.0           | 44.0  | 11704 | 1.0763          | 0.8860   | 0.7488 | 0.7093 | 0.9729 | 0.8989    |
| 0.0           | 45.0  | 11970 | 1.0937          | 0.8860   | 0.7488 | 0.7093 | 0.9729 | 0.8989    |
| 0.0           | 46.0  | 12236 | 1.1095          | 0.8878   | 0.7545 | 0.7150 | 0.9729 | 0.9007    |
| 0.0           | 47.0  | 12502 | 1.1263          | 0.8878   | 0.7545 | 0.7150 | 0.9729 | 0.9007    |
| 0.0           | 48.0  | 12768 | 1.1427          | 0.8878   | 0.7545 | 0.7150 | 0.9729 | 0.9007    |
| 0.0           | 49.0  | 13034 | 1.1587          | 0.8878   | 0.7545 | 0.7150 | 0.9729 | 0.9007    |
| 0.0           | 50.0  | 13300 | 1.1745          | 0.8878   | 0.7545 | 0.7150 | 0.9729 | 0.9007    |
| 0.0           | 51.0  | 13566 | 1.1901          | 0.8878   | 0.7545 | 0.7150 | 0.9729 | 0.9007    |
| 0.0           | 52.0  | 13832 | 1.2052          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 53.0  | 14098 | 1.2201          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 54.0  | 14364 | 1.2350          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 55.0  | 14630 | 1.2497          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 56.0  | 14896 | 1.2641          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 57.0  | 15162 | 1.2785          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 58.0  | 15428 | 1.2925          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 59.0  | 15694 | 1.3068          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 60.0  | 15960 | 1.3207          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 61.0  | 16226 | 1.3346          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 62.0  | 16492 | 1.3485          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 63.0  | 16758 | 1.3622          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 64.0  | 17024 | 1.3758          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 65.0  | 17290 | 1.3893          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 66.0  | 17556 | 1.4029          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 67.0  | 17822 | 1.4166          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 68.0  | 18088 | 1.4298          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 69.0  | 18354 | 1.4431          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 70.0  | 18620 | 1.4566          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 71.0  | 18886 | 1.4695          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 72.0  | 19152 | 1.4824          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 73.0  | 19418 | 1.4950          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 74.0  | 19684 | 1.5076          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 75.0  | 19950 | 1.5201          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 76.0  | 20216 | 1.5321          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 77.0  | 20482 | 1.5441          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 78.0  | 20748 | 1.5564          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 79.0  | 21014 | 1.5691          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 80.0  | 21280 | 1.5800          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 81.0  | 21546 | 1.5910          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 82.0  | 21812 | 1.6021          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 83.0  | 22078 | 1.6133          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 84.0  | 22344 | 1.6244          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 85.0  | 22610 | 1.6357          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 86.0  | 22876 | 1.6468          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 87.0  | 23142 | 1.6580          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 88.0  | 23408 | 1.6694          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 89.0  | 23674 | 1.6806          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 90.0  | 23940 | 1.6876          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 91.0  | 24206 | 1.6938          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 92.0  | 24472 | 1.6996          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 93.0  | 24738 | 1.7051          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 94.0  | 25004 | 1.7104          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 95.0  | 25270 | 1.7152          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 96.0  | 25536 | 1.7195          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 97.0  | 25802 | 1.7232          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 98.0  | 26068 | 1.7260          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 99.0  | 26334 | 1.7280          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |
| 0.0           | 100.0 | 26600 | 1.7287          | 0.8888   | 0.7573 | 0.7179 | 0.9729 | 0.9017    |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1