Comments (2)
@ajay-sreeram here is general intuition:
When you freeze model you have less trainable parameters and thus you can push more data through the computation graph without running out of memory. This is why when we unfreeze the model we decrease the batch size dramatically.
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@hamelsmu I see, thanks for the explanation.
Actually I learn a lot from your approach and code, thanks a lot again.
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Related Issues (20)
- OverflowError in 1 Preprocess Data HOT 8
- Preprocess Data: ModuleNotFoundError: No module named 'general_utils' HOT 2
- ModuleNotFoundError: No module named 'tensorflow' HOT 5
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- Part 3 - Training the language model HOT 5
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