Add new SentenceTransformer model.

README.md

@@ -11,38 +11,40 @@ tags:
 base_model: sentence-transformers/all-MiniLM-L6-v2
 datasets: []
 widget:
-- source_sentence: This store featured in the SavaCentre TV adverts in 1983.
+- source_sentence: Truck production was added in May 1993.
   sentences:
-  - I love the Scream movies and all horror movies and this one ranks way up there.
-  - Development of synchronous toothed-belts was halted by the Gilmer company prior
-    to 1940.
-  - This store was not featured in the SavaCentre TV promotions in 1983.
-- source_sentence: In 2014, Nextgen earns KLAS Top Performance Honors for Ambulatory
-    RCM Services.
+  - Commercial DNP is unable to be utilized as an antiseptic or as a non-selective
+    bioaccumulating pesticide.
+  - Research has suggested that the attentional focus is variable in size.
+  - Truck creation was removed in May 1993.
+- source_sentence: This theory is controversial and has been rejected by other researchers.
   sentences:
-  - These strategies employ reporter transposon s and in vitro expression technology
-    (IVET).
+  - The problem of head-of-line blocking using Virtual Output Queues was discussed
+    in the paper.
+  - The theory has been rejected by other researchers.
+  - Omaha Public Power District (OPPD) is considered the state's smallest purchaser
+    of wind energy.
+- source_sentence: In Yunnan, China, several ethnic minority groups produce Rushan
+    and Rubing from cow's milk.
+  sentences:
+  - In Yunnan, China, only the ethnic majority groups produce Rushan and Rubing from
+    cow's milk.
+  - I have always used corded headsets and the freedom from the wireless is very helpful.
   - In 2014, Nextgen fails to achieve KLAS Top Performance Honors for Ambulatory RCM
     Services.
-  - The film's sole bright spot was Jonah Hill (who will look almost unrecognizable
-    to fans of the recent Superbad due to the amount of weight he lost in the interim).
-- source_sentence: E105 has never been implicated in atopic asthma.
-  sentences:
-  - E105 has been implicated in non-atopic asthma.
-  - The species is named in honor of the divorce of Sara Anderson and Malcolm Slaney.
-  - Each annex to a filed document is not required to have page numbering.
-- source_sentence: Additionally, a church at San Lazaro in Orange Walk District escaped
-    all damage.
+- source_sentence: The sultan Muhammad al-Nasir Ibn Qalawun demolished the minaret
+    permanently after an earthquake in October 1318.
   sentences:
-  - Kuwait has a reputation for being the central music influence of the GCC countries.
-  - Early settlers may have introduced it 4,000 years ago.
-  - Additionally, a church at San Lazaro in Orange Walk District suffered severe damage.
-- source_sentence: The content in Australia is lower than in other reports.
+  - Six other dams were unsuccessful that day, two were small and four were minor
+    in size.
+  - This store was not featured in the SavaCentre TV promotions in 1983.
+  - The sultan Muhammad al-Nasir Ibn Qalawun renovated the minaret after an earthquake
+    in October 1318.
+- source_sentence: It must be taken at the start of main meals to have maximal effect.
   sentences:
-  - Other reports also show a content lower than 0.1% in Australia.
-  - Commercial DNP is unable to be utilized as an antiseptic or as a non-selective
-    bioaccumulating pesticide.
-  - Installation of Halon systems is mandated by the European Union.
+  - It must be taken at the start of the main meal.
+  - My name is important.
+  - The species is named in honor of the divorce of Sara Anderson and Malcolm Slaney.
 pipeline_tag: sentence-similarity
 ---
 
@@ -96,9 +98,9 @@ from sentence_transformers import SentenceTransformer
 model = SentenceTransformer("LeoChiuu/all-MiniLM-L6-v2-negations")
 # Run inference
 sentences = [
-    'The content in Australia is lower than in other reports.',
-    'Other reports also show a content lower than 0.1% in Australia.',
-    'Installation of Halon systems is mandated by the European Union.',
+    'It must be taken at the start of main meals to have maximal effect.',
+    'It must be taken at the start of the main meal.',
+    'The species is named in honor of the divorce of Sara Anderson and Malcolm Slaney.',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
@@ -161,11 +163,11 @@ You can finetune this model on your own dataset.
   | type    | string                                                                            | string                                                                            | int                                             |
   | details | <ul><li>min: 9 tokens</li><li>mean: 16.36 tokens</li><li>max: 39 tokens</li></ul> | <ul><li>min: 7 tokens</li><li>mean: 16.55 tokens</li><li>max: 43 tokens</li></ul> | <ul><li>0: ~61.33%</li><li>1: ~38.67%</li></ul> |
 * Samples:
-  | sentence_0                                                                                   | sentence_1                                                                                | label          |
-  |:---------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------|:---------------|
-  | <code>It wasn't an inexpensive piece, but I would still have expected better quality.</code> | <code>It was an inexpensive piece, but I would still have expected better quality.</code> | <code>0</code> |
-  | <code>My name is noncrucial.</code>                                                          | <code>My name is important.</code>                                                        | <code>0</code> |
-  | <code>Hawthorne mostly wrote against his own religious belief.</code>                        | <code>Hawthorne wrote against his beliefs.</code>                                         | <code>1</code> |
+  | sentence_0                                                                                        | sentence_1                                                                                            | label          |
+  |:--------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------|:---------------|
+  | <code>And I tell you something, it's fair.</code>                                                 | <code>And I tell you something, it's not fair.</code>                                                 | <code>0</code> |
+  | <code>The meeting was commemorated with his image on a stamp from the Vatican post office.</code> | <code>The meeting was commemorated with only his name on a stamp from the Vatican post office.</code> | <code>0</code> |
+  | <code>On June 22, 2009, the SEC also filed civil fraud charges.</code>                            | <code>On June 22, 2009, the SEC kept itself from filing civil fraud charges.</code>                   | <code>0</code> |
 * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
   ```json
   {

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:cacdfc32e4c184d153ee335484bf5b37116ffec455f4fb6f046a962c9d09db7a
 size 90864192