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.
License: Other
A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.
License: Other
How does the training happen for unseen languages that are not supported by the pretrained BERT model?
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.
I'm wondering whether using the en-target language parallel data or just the target language data when training the language-sft?
For language SFT training for english, did you use the entire wikipedia or just a subset of it?
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.