Unfortunately not but was able to generate a submission. I also started from scratch and reviewed learner and dataset.py, reviewed videos (no solution but learnt alot about the fastai library 
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Running this code right at the beginning
data = ImageClassifierData.from_csv(path, 'train', labels_csv, test_name='test', val_idxs=val_idxs, bs=bs, tfms=tfms, skip_header=True, continuous=False)
learn = ConvLearner.pretrained(arch, data, precompute=True)creates the tmp file which as 793 entries instead of 794 hence no need to train the model fully all the way to realize there is a difference in the sizes. The tmp files dont correspond to anything I can reference back to the 794 in the test folder. The meta file provides shape, cbytes and nbytes. Is there any way to know what the data corresponds to in the tmp file?