while training - loss parameter almost doesnt decrease

[tamirm2009]

@llSourcell

Hi
I'm running training process but loss parameter doesnt decreasing:
first step it was 107% loss. On Step 425 loss is 102% only. What Should I do ?
Is something suspicious/wrong ?
I have 6 classes 1,2,3,4,5,6 . And dataset of 59 images only(XML file for each image).
I'm training using yolov2-tiny-voc file --> edited to yolov2-tiny-voc-6c . Weights -> yolov2-tiny.weights(43896KB).
BatchSize/Subdivision is relevant?
[net]
/# Testing
batch=16
subdivisions=4
/# Training
/# batch=64
/# subdivisions=2

I added / after the # because its bolding in github the text afterwards.(So my cfg file is without /).

cmdline run string:
python flow --model cfg/yolov2-tiny-6c.cfg --load bin/yolov2-tiny.weights --train --annotation new_model_data/annotations --dataset new_model_data/images