# \#evaluation

**URL:** https://community.pinecone.io/tag/evaluation/4.md

[Latest](https://community.pinecone.io/latest.md) · [Categories](https://community.pinecone.io/categories.md) · [Tags](https://community.pinecone.io/tags.md)

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## ["Formal Logic" embeddings/metadata for argumentative analysis](https://community.pinecone.io/t/formal-logic-embeddings-metadata-for-argumentative-analysis/3107)

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**Author:** [@mcnojo](https://community.pinecone.io/u/mcnojo)\
**Replies:** 2\
**Last updated:** [January 18, 2024, 1:42pm UTC](https://community.pinecone.io/t/formal-logic-embeddings-metadata-for-argumentative-analysis/3107 "2024-01-18T13:42:12Z")

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Hey Folks - Out of curiosity, and because I’ve been unable to find recent research pertaining to the subject: Has a system for representing the formal logic of different natural-language embeddings been tested with vec…

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## [Is there any function in pinecone that help find out difference between two documents saved in one namespace in pinecone](https://community.pinecone.io/t/is-there-any-function-in-pinecone-that-help-find-out-difference-between-two-documents-saved-in-one-namespace-in-pinecone/2900)

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**Author:** [@nisha.pythonwork123](https://community.pinecone.io/u/nisha.pythonwork123)\
**Replies:** 0\
**Last updated:** [August 6, 2023, 4:16am UTC](https://community.pinecone.io/t/is-there-any-function-in-pinecone-that-help-find-out-difference-between-two-documents-saved-in-one-namespace-in-pinecone/2900 "2023-08-06T04:16:10Z")

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How do i access documents name in one namespace. I want to find out contextual difference between two documents using pinecone. Is it even possible ??

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## [Why is MSE loss preferable over e.g. cosine distance?](https://community.pinecone.io/t/why-is-mse-loss-preferable-over-e-g-cosine-distance/201)

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**Author:** [@rdisipio](https://community.pinecone.io/u/rdisipio)\
**Replies:** 1\
**Last updated:** [February 8, 2022, 1:49pm UTC](https://community.pinecone.io/t/why-is-mse-loss-preferable-over-e-g-cosine-distance/201 "2022-02-08T13:49:39Z")

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Hi, why is MSE loss preferable over e.g. cosine distance when it comes to train a downstream classifier? Regards, Riccardo

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## [Training Sentence Transformers](https://community.pinecone.io/t/training-sentence-transformers/39)

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**Author:** [@jamesbriggs](https://community.pinecone.io/u/jamesbriggs)\
**Replies:** 4\
**Last updated:** [January 27, 2022, 3:40am UTC](https://community.pinecone.io/t/training-sentence-transformers/39 "2022-01-27T03:40:29Z")

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q1) In the course Unsupervised Training for Sentence Transformers | Pinecone you have explained 3 training methods - Training Sentence Transformers with Softmax Loss , Training Sentence Transformers with MNR Loss and …