Comments (4)
I was wondering the same thing, any update on this?
Intuitively it should work, but it is unclear how it compares to solely using TSDAE or using a both methods.
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I'm curious about this, too. We'd like to do domain adaptation for all-mpnet-base-v2
.
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Any update on this?
from gpl.
I went for TSDAE with finetuning on nli and sts corpora (there are scripts on the sentence transformer github that you can use). Seems to have worked great!
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Related Issues (20)
- Version conflict due to `easy-elasticsearch` and latest `beir`
- Website link does not work HOT 2
- Loss function HOT 2
- Support for Azure?
- Multi-lingual GPL HOT 4
- RuntimeError: CUDA out of memory HOT 4
- Evaluation data format HOT 1
- TSDAE to GPL... Error on start HOT 1
- Guidance on gpl_stapes, new_size and batch_size_gpl HOT 1
- Should the leaning domain contain only assertion texts (like "Python is a high-level general-purpose programming language")?
- Can I replace it with codeT5/codebert? HOT 3
- Model not saved HOT 1
- Evaluation every 10k steps HOT 2
- GPL with low performant CE
- TSDAE + GPL with french data
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- Do we have to keep the intermediate results?
- Recomended GPU Memory ? Cuda out of memory during query generation.
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