cambridgeltl / composable-sft Goto Github PK
View Code? Open in Web Editor NEWA library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
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[Q] LT-SFT and enc-dec models?
I'm wondering if this method should (theoretically) work with enc-dec models? Have You tried to train those models with code from this repository? I'm interested in utilizing this approach with T5 model.
Language SFT training
For language SFT training for english, did you use the entire wikipedia or just a subset of it?
Adapters models
Hi,
Really nice work. Everything seems to work fine.
I'm wondering if you plan to release the Adapters models (based on MAD-X) too for comparison. I understand that this is focused on SFT, it would be nice to also have the Adapters.
Language SFT training for unseen languages
How does the training happen for unseen languages that are not supported by the pretrained BERT model?
en-target language parallel data
I'm wondering whether using the en-target language parallel data or just the target language data when training the language-sft?
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