Estimator's model_fn includes params argument, but params are not passed to Estimator

I met the same problem, and I found that this warning has nothing to do with the problem that the model doesn't work. I can make the model work as this warning showing.

My mistake was that I misunderstood the line in the document of running_locally.md

"${MODEL_DIR} points to the directory in which training checkpoints and events will be written to"

I changed the MODEL_DIR to the {project directory}/models/model where the structure of the directory is:

+data
  -label_map file
  -train TFRecord file
  -eval TFRecord file
+models
  + model
    -pipeline config file
    +train
    +eval

And it worked. Hoping this can help you.

Edit: while this may work, in this case model_dir does not contain any saved checkpoint files, if you stop the training after some checkpoint files are saved and restart again, the training would still be skipped. The doc specifies the recommended directory structure, but it is not necessary to be the same structure as all paths to tfrecord, pretrained checkpoints can be configured in the config file.

The actual reason is when model_dir contains checkpoint files which already reached the NUM_TRAIN_STEP, the script will assume the training is finished and exit. Remove the checkpoint files and restart training will work.

In my case, I had the same error because I had inside of the folder where my .cpkt files were, the checkpoint of the pre-trained models too.

Removing that file came inside of the .tar.gz file, the training worked.

I also received this error, and it was because I had previously trained a model on a different dataset/model/config file, and the previous ckpt files still existed in the directory I was working with, moving the old ckpt training data to a different directory fixed the issue