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question about the training process #23

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sakura2233565548 opened this issue Mar 5, 2020 · 4 comments
Open

question about the training process #23

sakura2233565548 opened this issue Mar 5, 2020 · 4 comments

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@sakura2233565548
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Hi Yang:
I use the code that you release in the github, and I run the train code with the parameter: two GPUs,
batch_size 256, lr_rate 0.0005, now training 26000 batch_size, but the found_object is so low, about 0.14. I observe your training process and your found_object is increasing so high after 14k batch_size,
so can you have some answers for this symptom? I'd appreciate it if you can help solve this problem!

@fengyang0317
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Are you using the MSCOCO dataset?
Have you tried the data files in https://drive.google.com/drive/folders/1ol8gLj6hYgluldvdj9XFKm16TCqOr7EE?

@sakura2233565548
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Are you using the MSCOCO dataset?
Have you tried the data files in https://drive.google.com/drive/folders/1ol8gLj6hYgluldvdj9XFKm16TCqOr7EE?

yes,I have checked the dataset ,mscoco 2014, No problem~So I am confused with this problem.

@fengyang0317
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Did you generate the training input by yourself?
You may try to use the input files from google drive.

@sakura2233565548
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Did you generate the training input by yourself?
You may try to use the input files from google drive.

I didn't use the input files that you release on google drive~I use the code to preprocess the image dataset by myself.

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