Filter p-tuning by example length #6182
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… attribute Signed-off-by: arendu <[email protected]>
Signed-off-by: arendu <[email protected]>
Signed-off-by: arendu <[email protected]>
Zhilin123
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Mar 13, 2023
nemo/collections/nlp/models/language_modeling/megatron_gpt_prompt_learning_model.py
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Zhilin123
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LGTM - there remains some more things to handle but @arendu / @Zhilin123 will work on them in a separate PR.
okuchaiev
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titu1994
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Mar 24, 2023
* patch to allow using tokenizers without additional_special_tokens_ids attribute Signed-off-by: arendu <[email protected]> * filter long and/or short training and validation examples Signed-off-by: arendu <[email protected]> --------- Signed-off-by: arendu <[email protected]>
hsiehjackson
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* patch to allow using tokenizers without additional_special_tokens_ids attribute Signed-off-by: arendu <[email protected]> * filter long and/or short training and validation examples Signed-off-by: arendu <[email protected]> --------- Signed-off-by: arendu <[email protected]> Signed-off-by: hsiehjackson <[email protected]>
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What does this PR do ?
Previously only training and validation examples longer than the max encoder length were filtered out. This PR makes it possible to filter out by a specified length. This will save training time, as larger batch sizes will be possible after removing a small % of training and validation examples.
Collection: [NLP]
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