Comments (1)
mvoelk
commented on July 26, 2024
I had convergence issues with small batch size and was forced to use AdamAccumulate. The initial learning rate of 0.1 and the batch size of 128 were already suspicious to me.
The missing metricas are a known issue. They are more or less a hack and do not work with tf-keras and probably not with multi GPU either. I did not have the time to fix the tf 2 training.
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Related Issues (20)
- TBPP model arbitrary input shape HOT 1
- encode/decode error for tbpp
- Target length zero error
- about environment set (tf version?) HOT 2
- SL_end2end_predict.ipynb: Model dimensions don't match that in weights file. HOT 4
- Request to add .pkl files to repo HOT 4
- DSODSL Output tensor format HOT 1
- CRNN output format HOT 1
- How to convert to tflite?
- SL_end2end_predict.ipynb fails on converting to .py with necessary modifications. HOT 9
- Light architectures for object detection HOT 5
- fit_generator for ssd training & Check loss during training HOT 1
- training with own dataset resize issue HOT 1
- While training, got <UnknownError: AttributeError: 'NoneType' object has no attribute 'shape'> HOT 1
- links to download models not working HOT 2
- TypeError: map() got an unexpected keyword argument 'deterministic' error HOT 3
- How to modify the size of anchor? HOT 4
- Metrics issue ? HOT 4
- Problem during with Crowd Human dataset HOT 1
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