Comments (5)
kasra-hosseini
commented on August 28, 2024
Branch: https://github.com/Living-with-machines/DeezyMatch/tree/feature/25-vocab-issue
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kasra-hosseini
commented on August 28, 2024
This should be solved in this PR (under review): #26
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mcollardanuy
commented on August 28, 2024
Hi @fedenanni and @kasra-hosseini, if I'm not wrong, at the moment we use the vocabulary of the dataset of the original model for fine-tuning, so we fixed this by making sure we had a general vocabulary that covers both the original and potential fine-tuning vocabularies, when training the original model. This general vocabulary is hard-coded into the code, should we reopen this issue or create a new one?
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kasra-hosseini
commented on August 28, 2024
Good point. We can reopen this issue.
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kasra-hosseini
commented on August 28, 2024
PR #36 closes this issue.
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Related Issues (20)
- Improve documentation on DeezyMatch installation HOT 1
- Improve documentation on generating train/valid/test datasets HOT 4
- Test Tokenizer does not handle n-gram HOT 9
- Add specific datasets for the different DM functions and adapt test notebooks HOT 2
- Add option to extend the vocabulary when fine-tuning a model
- Add post-processing filter to candidate ranking with maximum string length difference allowed HOT 1
- Linting HOT 1
- Add OCR tutorial for DH2022
- Add Heritage Gazetteer of Libya tutorial for DH2022
- Query/Candidate matching on-the-fly
- Allow disabling cosine similarity in candidate ranking
- [Tutorials] Issue with pytorch GPU
- Scaling tests
- KeyError: 'general' | Can't train a model
- pip install deezymatch HOT 1
- Paper: Efficient Tokenization-Free Encoder
- Change package dependencies from == to >= HOT 2
- Fix ranking metric documentation in candidateRanker HOT 1
- Fix the hardcoded multiplier in candidateRanker HOT 1
- Improve documentation on string normalization HOT 1
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