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Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0088
  • Accuracy: 1.0

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 7

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7078 0.99 36 0.1447 0.9375
0.1858 1.99 72 0.0584 0.9792
0.0891 2.98 108 0.0082 1.0
0.0619 4.0 145 0.0215 1.0
0.0252 4.99 181 0.0120 1.0
0.018 5.99 217 0.0139 1.0
0.0112 6.95 252 0.0088 1.0

Test results

Classes precision recall f1-score support
Erythromelal 1.00 1.00 1.00 5
Guttate 1.00 1.00 1.00 7
Inverse 1.00 1.00 1.00 4
Nail 1.00 1.00 1.00 10
Normal 1.00 1.00 1.00 11
Plaque 1.00 1.00 1.00 10
Psoriatic Arthritis 1.00 1.00 1.00 6
Pustular 1.00 1.00 1.00 6
accuracy 1.00 59
macro avg 1.00 1.00 1.00 59
weighted avg 1.00 1.00 1.00 59

confusion Matrix results

image/png

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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