Zingg Training Error: Insufficient Training Data Showing 0 Matches Despite Labeling 76 Matches and 41 Non-Matches

You have labeled 76 matches and 41 non-matches.
If you need more pairs to label, re-start the iteration loop.

['--phase', 'trainMatch']
arguments for client options are  ['--phase', 'trainMatch', '--license', 'zinggLic.txt', '--email', 'zingg@zingg.ai', '--conf', 'dummyConf.json']
Py4JJavaError: An error occurred while calling o518.execute.
: zingg.common.client.ZinggClientException: Unable to train as insufficient training data found. Training data has 0 matches and 17 non matches. Please run findTrainingData and label till you have sufficient labelled data to build the models
	at zingg.common.core.executor.Trainer.verifyTraining(Trainer.java:78)
	at zingg.common.core.executor.Trainer.execute(Trainer.java:37)
	at zingg.common.core.executor.TrainMatcher.execute(TrainMatcher.java:34)
	at zingg.common.client.Client.execute(Client.java:251)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:397)
	at py4j.Gateway.invoke(Gateway.java:306)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:199)
	at py4j.ClientServerConnection.run(ClientServerConnection.java:119)
	at java.lang.Thread.run(Thread.java:750)
File <command-3095877016256703>, line 9
      5 options = ClientOptions([ClientOptions.PHASE, "trainMatch"])
      7 zingg = ZinggWithSpark(args, options)
----> 9 zingg.initAndExecute()
File /databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py:326, in get_return_value(answer, gateway_client, target_id, name)
    324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
    325 if answer[1] == REFERENCE_TYPE:
--> 326     raise Py4JJavaError(
    327         "An error occurred while calling {0}{1}{2}.\n".
    328         format(target_id, ".", name), value)
    329 else:
    330     raise Py4JError(
    331         "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
    332         format(target_id, ".", name, value))