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Dear Patrick Your researches are really amazing and I am really interested in them. Currently, I am working on the impact of data augmentation on low-resource language. There are some questions, and I would appreciate it if could help me. My first question is that when I fine-tune the model, even if I use the same data for validation and test, always the WER on test data is always lower (by considerable difference) than WER on the last training step. I don't why this happens. The second one is that is there any way to load the checkpoint models and processor from HDD or Google Colab or I must first upload it on HuggingFace git. Thank you for your time and your Consideration Mohammad-reza
Dear Patrick

Your researches are
really
amazing and
I am
really
interested in them.
Currently
, I am working on the impact of data augmentation on low-resource language. There are
some
questions, and I would appreciate it if could
help
me.

My
first
question is that when I fine-tune the model, even if I
use
the same data for validation and
test
, always the
WER on
test
data is always lower (by considerable difference) than
WER on
the last training step. I don't why this happens.

The second one is
that is
there any way to load the checkpoint models and processor from HDD or Google
Colab
or I
must
first
upload it on
HuggingFace
git.

Thank you for your time and your Consideration

Mohammad-reza
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