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However I can't reach more than a mAP of 19%, compared to the mAP of 22.2 % reported on the modelzoo.
I also trained on coco2017.
The config file from above features a initial learning rate of 0.08, could that be too low? Or are the number of steps too few?
Because in the config file the fine_tune_checkpoint attribute is still present.
The text was updated successfully, but these errors were encountered:
Prerequisites
Please answer the following question for yourself before submitting an issue.
1. The entire URL of the documentation with the issue
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md
2. Describe the issue
I have retrained the model with:
https://github.com/tensorflow/models/blob/master/research/object_detection/configs/tf2/ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8.config
However I can't reach more than a mAP of 19%, compared to the mAP of 22.2 % reported on the modelzoo.
I also trained on coco2017.
The config file from above features a initial learning rate of 0.08, could that be too low? Or are the number of steps too few?
Because in the config file the fine_tune_checkpoint attribute is still present.
The text was updated successfully, but these errors were encountered: