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I turned off the Automatic Mixed Precision in train.py by setting "amp = False", since using FP16 in my model&dataset make loss becomes nan easily, but when the training process is finished, model summary in the output is wrong(map50=0.904 at 500th epoch, but shows map50=0.611 in the summary),does someone know how to fix this?
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I turned off the Automatic Mixed Precision in train.py by setting "amp = False", since using FP16 in my model&dataset make loss becomes nan easily, but when the training process is finished, model summary in the output is wrong(map50=0.904 at 500th epoch, but shows map50=0.611 in the summary),does someone know how to fix this?
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