how to get the mAP graph?

Have i written custom code?
-No
OS Platform and Distribution:
-Windows10
TensorFlow installed from:
-pip install tensorflow
TensorFlow Version:
-1.15.0
Bazel Version:
-N/A
CUDA/cuDNN version:
-10.0/7.6.5
GPU model and memory:
NVIDIA GTX 2060s
Exact command to reproduce:
python model_main.py --logtostderr --model_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config

Managed to make mAP graph show using model_main.py

1. How can I show this training and validation loss in a single graph

This is what I see in my tensorboard

2. My loss_1 and loss_2 in the above training progress is spiking where it should look smooth like this. My loss graph using train.py is similar to the images below.

3. My mAP graph is so low @ 29 mAP. Others training has 80 above mAP. I'm using faster rcnn inception v2 coco
   

4. On my loss graph, when I used model_main.py the loss kept increasing whereas when I use train.py it was decreasing smoothly