Too many hours for Training Custom Object Detector

I am following this tutorial: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html When I reach the training paragraph ( Training the Model ) and run this command: python3 model_main_tf2.py --model_dir=models/my_ssd_resnet50_v1_fpn --pipeline_config_path=models/my_ssd_resnet50_v1_fpn/pipeline.config I get mesages like this:

Instructions for updating:
`seed2` arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
W0128 18:24:29.575707 140532950755136 deprecation.py:341] From /usr/local/lib/python3.9/dist-packages/tensorflow/python/util/dispatch.py:1096: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.
Instructions for updating:
`seed2` arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
WARNING:tensorflow:From /usr/local/lib/python3.9/dist-packages/tensorflow/python/autograph/impl/api.py:465: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
W0128 18:24:30.771597 140532950755136 deprecation.py:341] From /usr/local/lib/python3.9/dist-packages/tensorflow/python/autograph/impl/api.py:465: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
2022-01-28 18:24:33.596621: W tensorflow/core/framework/dataset.cc:744] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.

And as I see from htop command the threads still running. Is it normal? I mean the training is more than 20 hours... and is still training, it hasn't stop yet. I also tried this: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#tensorboard-sec in order to visualize what is happening on training but nothing was displayed... I include a printscreen below... Do you see something strange?