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TAO classification pyt - Very Low accuracy on custom dataset

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Please provide the following information when requesting support.

• Hardware (T4/V100/Xavier/Nano/etc) : A6000
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) : Classification
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here) : 5.3.0
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)

I m trying an custom binary image classification on the image classification pyt notebook, modified the spec’s as per that but the accuracy of the model isnt improving, What could be reason ? Attaching the spec’s and training status json file.

spec.txt (1.1 KB)
status.txt (43.1 KB)

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