Generator Model Training Orchestration#27
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July 1, 2026 11:35
Experiment ID:2 Run ID:5e9a052521da4320871db9625e09cf78 Run Name:agreeable-turtle-117 - ConvNeXtUNet Generator - Single 2D crop input and single 2D crop target - Cache-backed filtered nucleus crops generated from the configured data directory - L1 optimization objective with L2, PSNR, SSIM, and Pearson correlation metric logging - Normalization of input and target images using the max possible pixel intensity - Training on entire initial dataset - Sigmoid output activation function when computing metrics and loss and saving images
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Generator models training orchestration is introduced and pathing is slightly refactored. Future generator models will extend this pattern for training.