Why my loss have no changes?

[pixixiaonaogou]

I have train the pretrained_model on my own datasets by using this command

DATASET_DIR=./tfrecords TRAIN_DIR=./log/ CHECKPOINT_PATH=./checkpoints/vgg_16.ckpt python train_ssd_network.py
--train_dir=${TRAIN_DIR}
--dataset_dir=${DATASET_DIR}
--dataset_name=pascalvoc_2007
--dataset_split_name=train
--model_name=ssd_300_vgg
--checkpoint_path=${CHECKPOINT_PATH}
--checkpoint_model_scope=vgg_16
--checkpoint_exclude_scopes=ssd_300_vgg/conv6,ssd_300_vgg/conv7,ssd_300_vgg/block8,ssd_300_vgg/block9,ssd_300_vgg/block10,ssd_300_vgg/block11,ssd_300_vgg/block4_box,ssd_300_vgg/block7_box,ssd_300_vgg/block8_box,ssd_300_vgg/block9_box,ssd_300_vgg/block10_box,ssd_300_vgg/block11_box
--trainable_scopes=ssd_300_vgg/conv6,ssd_300_vgg/conv7,ssd_300_vgg/block8,ssd_300_vgg/block9,ssd_300_vgg/block10,ssd_300_vgg/block11,ssd_300_vgg/block4_box,ssd_300_vgg/block7_box,ssd_300_vgg/block8_box,ssd_300_vgg/block9_box,ssd_300_vgg/block10_box,ssd_300_vgg/block11_box
--save_summaries_secs=60
--save_interval_secs=600
--weight_decay=0.0005
--optimizer=adam
--learning_rate=0.001
--learning_rate_decay_factor=0.94
--batch_size=32 Some problems in this process is solved by me . But the loss have no changes in the process of training So i want to ask some help for this question

[pixixiaonaogou]

And I provide some detail for my datasets NUM_CLASSES = 1 and the loss is 1.3292 all the time .

[jhgfkdj]

Me too, and my total_loss always wave at 100 up and down and never devline , have you solved this problem?

[yyc9268]

I guess the NUM_CLASSES should be 2 because it includes background class. You can confirm that default NUM_CLASSES is set to 21 although PASCAL VOC includes only 20 classes.