FastAI 1.0 Confusion about getting prediction from language classifier

[garfieldchh]

Create data object and fit model

Trying to get the model to predict on the validation set. Expected 93.8% accuracy but get 1.0%

At the same time learner.validate seems to produce the right number:

Now I am trying really hard to reproduce the 93.9% accuracy indicated by the training print out and get.validate. I tried to loop through each row in the validation df frame get the prediction individually.
However, the result accuracy still differes from 93.9%

Question:

1. How do I get predictions from learn object properly?
2. Why are accuracy numbers all over the place between learn.get_preds() learn.validate() and
   training print out ?
3. How do I get predictions from test data in the original order from TextClasDataBunch 's test dataset
   (No random order)

[sgugger]

Note that for 1, learn.predict gives you the index of the class in the second position of the tuple (so there is no need to do an argmax).
For 2, I can’t say since I don’t know your function accuracy_score. Not that learn.validate() gave you the same results as during training.
For 3, use ordered=True in learn.get_preds().

[garfieldchh]

accuracy_score is imported from sklearn.metrics