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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: vit-base-patch16-224-in21k_covid_19_ct_scans
    results: []

vit-base-patch16-224-in21k_covid_19_ct_scans

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:

  • eval_loss: 0.2255
  • eval_accuracy: 0.9671
  • eval_F1: 0.9163
  • eval_AUC: 0.8704
  • eval_Recall: 1.0
  • eval_Precision: 0.9637
  • eval_runtime: 4.1611
  • eval_samples_per_second: 51.189
  • eval_steps_per_second: 3.365
  • epoch: 20.0
  • step: 1080

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

Framework versions

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