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ALM-AHME/convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20

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

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convnextv2-large-1k-224-finetuned-LungCancer-Classification-LC25000-AH-60-20-20

This model is a fine-tuned version of facebook/convnextv2-large-1k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0043
  • —Accuracy: 0.9997

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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.9
  • —num_epochs: 12

Training results

Training LossEpochStepValidation LossAccuracy
0.43321.02810.38240.947
0.15582.05630.12920.9737
0.11613.08440.05560.9887
0.23374.011260.06830.982
0.12855.014070.02930.9923
0.0476.016890.09870.975
0.07417.019700.03730.988
0.1538.022520.00430.9997
0.02449.025330.06960.981
0.064610.028150.01200.995
0.002511.030960.00760.9977
0.061111.9833720.00240.9997

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3