huggingface / huggingface/sentence-transformers
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- Dominant language
- Python
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Description
Hi,
The score (0-5) given in the data sets (like sts)...is it randomly given score or is there any criteria in defining that score?
I am training the model with some custom data and am confused what score to give for sentences. Am fine if the sentences are exactly similar (highest score) or entirely different (lowest score) but if matching is partial how to define score?
Thanks,
Praneeth
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Research direction
No file, test, or entry point is identified in the issue. Begin by locating the documentation for STS datasets and custom training labels; done would be a documented, unambiguous rule for assigning partial similarity scores.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100