after run model_main.py

It show me this :

creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type bbox
DONE (t=39.81s).
Accumulating evaluation results...
DONE (t=11.59s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.334
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.548
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.350
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.014
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.110
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.455
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.357
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.490
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.514
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.070
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.311
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.638
2018-11-07 04:40:20.876549: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1490] Adding visible gpu devices: 0
2018-11-07 04:40:20.876662: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-11-07 04:40:20.876675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 0
2018-11-07 04:40:20.876682: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0: N
2018-11-07 04:40:20.877056: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7942 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:03:00.0, compute capability: 6.0)
WARNING:tensorflow:From /home-ex/tclsz/miniconda3/envs/tensorflow-abb/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py:1018: calling SavedModelBuilder.add_meta_graph_and_variables (from tensorflow.python.saved_model.builder_impl) with legacy_init_op is deprecated and will be removed in a future version.
Instructions for updating:
Pass your op to the equivalent parameter main_op instead.
W1107 04:40:21.531219 140403135842112 tf_logging.py:125] From /home-ex/tclsz/miniconda3/envs/tensorflow-abb/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py:1018: calling SavedModelBuilder.add_meta_graph_and_variables (from tensorflow.python.saved_model.builder_impl) with legacy_init_op is deprecated and will be removed in a future version.
Instructions for updating:
Pass your op to the equivalent parameter main_op instead.

and then It stopped.

I don't know what it means.

So who can tell me what the right method to train the ssdlite model that can show me the steps and the loss ?