rufimelo
/

Legal-BERTimbau-sts-base

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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rufimelo commited on Sep 25, 2022

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@@ -33,7 +33,7 @@ model-index:
         value: 0.73545
       - name: Pearson Correlation - stsb_multi_mt pt Dataset
         type: Pearson Correlation
-        value: xxxxx
 ---
 # rufimelo/Legal-BERTimbau-sts-base
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
@@ -87,7 +87,7 @@ print(sentence_embeddings)
 | Model| Assin | Assin2|stsb_multi_mt pt|
 | ---------------------------------------- | ---------- | ---------- |---------- |
-| Legal-BERTimbau-sts-base| 0.71457| 0.73545 | |
 | Legal-BERTimbau-sts-base-ma| 0.74874 | 0.79532|0.82254 |
 | Legal-BERTimbau-sts-base-ma-v2| 0.75481 | 0.80262|0.82178|
 | Legal-BERTimbau-sts-large| 0.76629| 0.82357 | |

         value: 0.73545
       - name: Pearson Correlation - stsb_multi_mt pt Dataset
         type: Pearson Correlation
+        value: 0.72383
 ---
 # rufimelo/Legal-BERTimbau-sts-base
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 | Model| Assin | Assin2|stsb_multi_mt pt|
 | ---------------------------------------- | ---------- | ---------- |---------- |
+| Legal-BERTimbau-sts-base| 0.71457| 0.73545 | 0.72383|
 | Legal-BERTimbau-sts-base-ma| 0.74874 | 0.79532|0.82254 |
 | Legal-BERTimbau-sts-base-ma-v2| 0.75481 | 0.80262|0.82178|
 | Legal-BERTimbau-sts-large| 0.76629| 0.82357 | |