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swin-tiny-patch4-window7-224-finetunedo

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3710
  • Roc Auc: 0.8606

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss Roc Auc
No log 1.0 3 0.5066 0.7647
No log 2.0 6 0.4204 0.7941
No log 3.0 9 0.4298 0.7353
0.4868 4.0 12 0.4040 0.8018
0.4868 5.0 15 0.3925 0.7724
0.4868 6.0 18 0.3674 0.8235
0.4096 7.0 21 0.3673 0.8606
0.4096 8.0 24 0.3710 0.8606

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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