CoolFace
Modelpublic

ALM-AHME/swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuffled

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
1likes20downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuffled

This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0289
  • —Accuracy: 0.9953

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: 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: 12

Training results

Training LossEpochStepValidation LossAccuracy
0.18941.01990.17390.9307
0.39512.03980.10660.9614
0.10213.05970.07410.9708
0.07844.07960.08150.9760
0.08355.09950.07230.9774
0.13946.011940.05320.9840
0.17557.013930.10680.9722
0.11348.015920.03900.9892
0.02379.017910.07890.9863
0.02710.019900.04920.9887
0.008111.021890.04290.9934
0.01112.023880.02890.9953

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.0
  • —Tokenizers 0.13.3