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Allow inheriting the Transformer class #2810
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tomaarsen
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Jul 5, 2024
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I agree completely, this is a much better convention for loading a class instance.
fpgmaas
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Jul 9, 2024
Allow inheriting the Transformer class (UKPLab#2810) [`feat`] Add hard negatives mining utility (UKPLab#2768) * Add hard negatives mining utility * Add example datasets/models for hard negative mining tip * Update phrasing in dataset overview [chore] add test for NoDuplicatesBatchSampler (UKPLab#2795) * add test for NoDuplicatesBatchSampler * formatting * simplify tests [chore] Add test for RoundrobinBatchSampler (UKPLab#2798) * Add test for RoundrobinBatchSampler * fix test * improve RoundRobinBatchSampler and add additional test * Make datasets in ConcatDataset different sizes As the real "use case" of the RoundRobin sampler is to avoid sampling from one dataset more than from another. This is best tested when the datasets have different sizes. --------- Co-authored-by: Tom Aarsen <[email protected]> [feat] Improve GroupByLabelBatchSampler (UKPLab#2788) * Improve GroupByLabelBatchSampler * small fix * improve test * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * fix sampler and add unit test * fix comment * remove .DS_Store * rm DS_Store * change self.groups statement * move to damplers dir * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * Add typing --------- Co-authored-by: Tom Aarsen <[email protected]> Co-authored-by: Tom Aarsen <[email protected]> [`chore`] Clean-up `.gitignore` (UKPLab#2799) add test coverage command add to workflow fix cicd fix cicd fix leave cicd untouched fix gitignore fix gitignore update gitignore update gitignore fix gitignore fix gitignor
fpgmaas
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Jul 9, 2024
Allow inheriting the Transformer class (UKPLab#2810) [`feat`] Add hard negatives mining utility (UKPLab#2768) * Add hard negatives mining utility * Add example datasets/models for hard negative mining tip * Update phrasing in dataset overview [chore] add test for NoDuplicatesBatchSampler (UKPLab#2795) * add test for NoDuplicatesBatchSampler * formatting * simplify tests [chore] Add test for RoundrobinBatchSampler (UKPLab#2798) * Add test for RoundrobinBatchSampler * fix test * improve RoundRobinBatchSampler and add additional test * Make datasets in ConcatDataset different sizes As the real "use case" of the RoundRobin sampler is to avoid sampling from one dataset more than from another. This is best tested when the datasets have different sizes. --------- Co-authored-by: Tom Aarsen <[email protected]> [feat] Improve GroupByLabelBatchSampler (UKPLab#2788) * Improve GroupByLabelBatchSampler * small fix * improve test * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * fix sampler and add unit test * fix comment * remove .DS_Store * rm DS_Store * change self.groups statement * move to damplers dir * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * Add typing --------- Co-authored-by: Tom Aarsen <[email protected]> Co-authored-by: Tom Aarsen <[email protected]> [`chore`] Clean-up `.gitignore` (UKPLab#2799) add test coverage command add to workflow fix cicd fix cicd fix leave cicd untouched fix gitignore fix gitignore update gitignore update gitignore fix gitignore fix gitignor
fpgmaas
pushed a commit
to fpgmaas/sentence-transformers
that referenced
this pull request
Jul 9, 2024
Allow inheriting the Transformer class (UKPLab#2810) [`feat`] Add hard negatives mining utility (UKPLab#2768) * Add hard negatives mining utility * Add example datasets/models for hard negative mining tip * Update phrasing in dataset overview [chore] add test for NoDuplicatesBatchSampler (UKPLab#2795) * add test for NoDuplicatesBatchSampler * formatting * simplify tests [chore] Add test for RoundrobinBatchSampler (UKPLab#2798) * Add test for RoundrobinBatchSampler * fix test * improve RoundRobinBatchSampler and add additional test * Make datasets in ConcatDataset different sizes As the real "use case" of the RoundRobin sampler is to avoid sampling from one dataset more than from another. This is best tested when the datasets have different sizes. --------- Co-authored-by: Tom Aarsen <[email protected]> [feat] Improve GroupByLabelBatchSampler (UKPLab#2788) * Improve GroupByLabelBatchSampler * small fix * improve test * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * fix sampler and add unit test * fix comment * remove .DS_Store * rm DS_Store * change self.groups statement * move to damplers dir * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * Add typing --------- Co-authored-by: Tom Aarsen <[email protected]> Co-authored-by: Tom Aarsen <[email protected]> [`chore`] Clean-up `.gitignore` (UKPLab#2799) add test coverage command add to workflow fix cicd fix cicd fix leave cicd untouched fix gitignore fix gitignore update gitignore update gitignore fix gitignore fix gitignor
tomaarsen
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Jul 9, 2024
#2794) * Update outdated docs links Allow inheriting the Transformer class (#2810) [`feat`] Add hard negatives mining utility (#2768) * Add hard negatives mining utility * Add example datasets/models for hard negative mining tip * Update phrasing in dataset overview [chore] add test for NoDuplicatesBatchSampler (#2795) * add test for NoDuplicatesBatchSampler * formatting * simplify tests [chore] Add test for RoundrobinBatchSampler (#2798) * Add test for RoundrobinBatchSampler * fix test * improve RoundRobinBatchSampler and add additional test * Make datasets in ConcatDataset different sizes As the real "use case" of the RoundRobin sampler is to avoid sampling from one dataset more than from another. This is best tested when the datasets have different sizes. --------- Co-authored-by: Tom Aarsen <[email protected]> [feat] Improve GroupByLabelBatchSampler (#2788) * Improve GroupByLabelBatchSampler * small fix * improve test * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * fix sampler and add unit test * fix comment * remove .DS_Store * rm DS_Store * change self.groups statement * move to damplers dir * Update sentence_transformers/sampler.py Co-authored-by: Tom Aarsen <[email protected]> * Add typing --------- Co-authored-by: Tom Aarsen <[email protected]> Co-authored-by: Tom Aarsen <[email protected]> [`chore`] Clean-up `.gitignore` (#2799) add test coverage command add to workflow fix cicd fix cicd fix leave cicd untouched fix gitignore fix gitignore update gitignore update gitignore fix gitignore fix gitignor * add command to open cov * fix setup.py * remove open command --------- Co-authored-by: Tom Aarsen <[email protected]>
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Creating a custom Transformer class that inherits Transformer would fail as the load function would always the original class. This change would allow smooth inheritance