Loss in training

[Hydrogenion]

Hi, I am trying to train my new rendered dataset based on your checkpoint SDF_DISN. But I found that the SDF loss is about 420-450 and stop dropping.
I use 224 * 224 no texture images with white background of bookshelf(02871439) as dataset.

more log for you:
-- 320 / 471 -- accuracy: 0.593915, sdf_loss_realvalue: 0.026241, sdf_loss: 451.525377, regularization: 0.893302, overall_loss: 452.418687, lr: 0.000100 time: 8.39, , fetch time per b: 0.00,
-- 340 / 471 -- accuracy: 0.581656, sdf_loss_realvalue: 0.025718, sdf_loss: 422.088892, regularization: 0.893302, overall_loss: 422.982202, lr: 0.000100 time: 8.35, , fetch time per b: 0.00,
-- 360 / 471 -- accuracy: 0.590842, sdf_loss_realvalue: 0.026418, sdf_loss: 456.267525, regularization: 0.893302, overall_loss: 457.160835, lr: 0.000100 time: 8.39, , fetch time per b: 0.00,
-- 380 / 471 -- accuracy: 0.589285, sdf_loss_realvalue: 0.025546, sdf_loss: 420.783688, regularization: 0.893303, overall_loss: 421.676999, lr: 0.000100 time: 8.36, , fetch time per b: 0.00,
-- 400 / 471 -- accuracy: 0.590341, sdf_loss_realvalue: 0.026002, sdf_loss: 436.560864, regularization: 0.893304, overall_loss: 437.454175, lr: 0.000100 time: 8.42, , fetch time per b: 0.00,

Am I doing right?

Thank you

[Xharlie]

please check the definition of loss and loss_realvalue in the code.