readme: ---
  license: apache-2.0
  tags:
  - image-classification
  datasets:
  - Face-Mask18K 
  ---
  
  # ConvNeXt for Face Mask Detection
  
  ConvNeXt model pre-trained and fine-tuned on Self Currated Custom Face-Mask18K Dataset (18k images, 2 classes) at resolution 224x224. It was introduced in the paper A ConvNet for the 2020s by Zhuang Liu, Hanzi Mao et al.  
  
  ## Training Metrics
      epoch                    =         3.54
      total_flos               = 1195651761GF
      train_loss               =       0.0079
      train_runtime            =   1:08:20.25
      train_samples_per_second =       14.075
      train_steps_per_second   =         0.22
  
  ---
  
  ## Evaluation Metrics
      epoch                   =       3.54
      eval_accuracy           =     0.9961
      eval_loss               =     0.0151
      eval_runtime            = 0:01:23.47
      eval_samples_per_second =     43.079
      eval_steps_per_second   =      5.391