NeuML
/

pubmedbert-base-embeddings

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

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davidmezzetti commited on Oct 18, 2023

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@@ -97,7 +97,7 @@ Evaluation results are shown below. The [Pearson correlation coefficient](https:
 | [all-MiniLM-L6-v2](https://hf.co/sentence-transformers/all-MiniLM-L6-v2)      | 90.40     | 95.86         | 94.07          | 93.44     |
 | [bge-base-en-v1.5](https://hf.co/BAAI/bge-large-en-v1.5)                      | 91.02     | 95.60         | 94.49          | 93.70     |
 | [gte-base](https://hf.co/thenlper/gte-base)                                   | 92.97     | 96.83         | 96.24          | 95.35     |
-| **[pubmedbert-base-embeddings](https://hf.co/neuml/pubmedbert-base-embeddings)**  | **93.27** | **97.07**     | **96.58**      | **95.64** |
 | [S-PubMedBert-MS-MARCO](https://hf.co/pritamdeka/S-PubMedBert-MS-MARCO)       | 90.86     | 93.33         | 93.54          | 92.58     |
 ## Training

 | [all-MiniLM-L6-v2](https://hf.co/sentence-transformers/all-MiniLM-L6-v2)      | 90.40     | 95.86         | 94.07          | 93.44     |
 | [bge-base-en-v1.5](https://hf.co/BAAI/bge-large-en-v1.5)                      | 91.02     | 95.60         | 94.49          | 93.70     |
 | [gte-base](https://hf.co/thenlper/gte-base)                                   | 92.97     | 96.83         | 96.24          | 95.35     |
+| [**pubmedbert-base-embeddings**](https://hf.co/neuml/pubmedbert-base-embeddings) | **93.27** | **97.07**     | **96.58**      | **95.64** |
 | [S-PubMedBert-MS-MARCO](https://hf.co/pritamdeka/S-PubMedBert-MS-MARCO)       | 90.86     | 93.33         | 93.54          | 92.58     |
 ## Training