metrics are not displayed during training

Hi

I install tensorflow 2.2, and use efficientdet_d2_coco17_tpu-32.
I managed to start training this model with this command:

!python3 ./models/research/object_detection/model_main_tf2.py   \
            --pipeline_config_path=./pipeline.config  \
            --model_dir=./efficient_det  \
            --batch_size=4 \
            --num_train_steps=150_000   --sample_1_of_n_eval_examples=4     --alsologtostderr

But while training it outputs only loss without metrics evaluated on eval set as it was in Tensorflow Object Detection 1.

I0821 09:23:17.842881 140282024908672 model_lib_v2.py:652] Step 16800 per-step time 1.223s loss=0.788
INFO:tensorflow:Step 16900 per-step time 1.076s loss=0.503
I0821 09:25:09.853582 140282024908672 model_lib_v2.py:652] Step 16900 per-step time 1.076s loss=0.503
INFO:tensorflow:Step 17000 per-step time 1.252s loss=1.163
I0821 09:27:01.702962 140282024908672 model_lib_v2.py:652] Step 17000 per-step time 1.252s loss=1.163
INFO:tensorflow:Step 17100 per-step time 1.072s loss=0.916
I0821 09:28:55.677012 140282024908672 model_lib_v2.py:652] Step 17100 per-step time 1.072s loss=0.916
INFO:tensorflow:Step 17200 per-step time 1.138s loss=0.819

How can I see my metrics?

Also, in train folder there are events file. They are initialised in the beginning, and then nothing is happening with them. How can I update events to see model metrics and progress in Tensorboard?