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ALM-AHME/swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30-S

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-LungCancer-LC25000-AH-40-30-30-S

This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0217
  • —Accuracy: 0.9931

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: 0.0005
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.5
  • —num_epochs: 7

Training results

Training LossEpochStepValidation LossAccuracy
0.1761.01870.08910.9663
0.25742.03740.21270.9249
0.24163.05610.24070.9236
0.24574.07490.12450.9632
0.35835.09360.17090.9404
0.1496.011230.05020.9814
0.0616.9913090.02170.9931

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3