Hxyz-123 / Font-diff

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How much the loss has to be reduced before the model is feasible? #11

Open leonzhu211 opened 1 year ago

leonzhu211 commented 1 year ago

As I trained it with my own dataset and got the following loss output

item value
grad_norm 0.0203
loss 0.00342
loss_q0 0.0074
loss_q1 0.00366
loss_q2 0.00215
loss_q3 0.000243
mse 0.00342
mse_q0 0.0074
mse_q1 0.00366
mse_q2 0.00215
mse_q3 0.000243
param_norm 1.02e+03
samples 3.36e+06
step 4.2e+05

the test result is totally unacceptable.

image

How much the loss has to be reduced before the model is feasible?

qqpann commented 1 year ago

I'm curious too, @Hxyz-123 ? The MSE seems pretty low compared to 0.27 in the paper? Correct me if I'm wrong!

MEIZU16 commented 1 year ago

Do you have any idea now ?

leonzhu211 commented 1 year ago

NO