Does including multiple labels impact performance? #180
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stefanfernandes-mantel
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For the vanilla GLINER model, I recommend a limit of 20 labels. However, for the bi-encoder version, the number of labels is not limited this: You can check this: https://huggingface.co/collections/knowledgator/gliner-bi-encoders-66c492ce224a51c54232657b |
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I've found out that splitting my labels (50+) into lists of ~5 based on a sub-category has greatly helped with identifying those labels in a text. |
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Thanks for such a brilliant project. Quick question, does adding more labels to the model impact performance? Or, is there nothing from adding in hundreds of labels if I so wished? Thank you!
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