Hi, thanks alot for the repply
by the way i end up buying and nvidia card (GTX1650) it was the best option without bottleneck in my processor.
i decided to try a new model, so i started training with model DHL-128, it made 40k+ iterations, but then cashed, the converted file was way better than a previous original model with 1M iterations.,
ever since then i cannot resume training: status failed train.py. return code 1.
ive tried the suggestions but non of them worked.
even with other models,
11/08/2023 17:04:08 CRITICAL Error caught! Exiting...
11/08/2023 17:04:08 ERROR Caught exception in thread: '_training'
11/08/2023 17:04:08 ERROR You do not have enough GPU memory available to train the selected model at the selected settings. You can try a number of things:
11/08/2023 17:04:08 ERROR 1) Close any other application that is using your GPU (web browsers are particularly bad for this).
11/08/2023 17:04:08 ERROR 2) Lower the batchsize (the amount of images fed into the model each iteration).
11/08/2023 17:04:08 ERROR 3) Try enabling 'Mixed Precision' training.
11/08/2023 17:04:08 ERROR 4) Use a more lightweight model, or select the model's 'LowMem' option (in config) if it has one.
got any idea of why is this happening.
thanks in advance.