Add new SentenceTransformer model
Browse files
README.md
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- retrieval
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- reranking
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- generated_from_trainer
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- loss:CustomBCELoss
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base_model: Alibaba-NLP/gte-modernbert-base
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widget:
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- source_sentence:
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noun is avoided or feared .
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sentences:
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Perth , the capital city of Western Australia , as HMAS `` Perth `` .
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sentences:
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sentences:
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- source_sentence: It included the original six tracks , re-worked with new vocals
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and live drums , three remixes , and new two tracks .
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sentences:
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sentences:
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datasets:
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- redis/langcache-sentencepairs-v2
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pipeline_tag: sentence-similarity
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@@ -151,9 +148,9 @@ from sentence_transformers import SentenceTransformer
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model = SentenceTransformer("redis/langcache-embed-v3")
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# Run inference
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sentences = [
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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print(similarities)
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# tensor([[1.
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# [0.
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# [0.
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```
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<!--
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#### LangCache Sentence Pairs (all)
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* Dataset: [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v2)
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* Size:
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
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* Approximate statistics based on the first
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| | anchor | positive | negative |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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| type | string | string | string |
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| details | <ul><li>min:
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* Samples:
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| anchor | positive
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| <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code>
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| <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code>
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| <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley , was at
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* Loss: <code>losses.CustomBCELoss</code>
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### Evaluation Dataset
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#### LangCache Sentence Pairs (all)
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* Dataset: [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v2)
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* Size:
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
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* Approximate statistics based on the first
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| | anchor | positive | negative |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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| type | string | string | string |
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| details | <ul><li>min:
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* Samples:
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| anchor | positive
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| <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code>
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| <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code>
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| <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley , was at
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* Loss: <code>losses.CustomBCELoss</code>
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### Training Logs
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- retrieval
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- reranking
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- generated_from_trainer
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- dataset_size:3119809
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- loss:CustomBCELoss
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base_model: Alibaba-NLP/gte-modernbert-base
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widget:
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- source_sentence: Hayley Vaughan portrayed Ripa on the ABC daytime soap opera , ``
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All My Children `` , between 1990 and 2002 .
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sentences:
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- Traxxpad is a music application for Sony 's PlayStation Portable published by
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Definitive Studios and developed by Eidos Interactive .
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- Between 1990 and 2002 , Hayley Vaughan Ripa portrayed in the ABC soap opera ``
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All My Children `` .
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- Between 1990 and 2002 , Ripa Hayley portrayed Vaughan in the ABC soap opera ``
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All My Children `` .
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- source_sentence: Olivella monilifera is a species of dwarf sea snail , small gastropod
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mollusk in the family Olivellidae , the marine olives .
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sentences:
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- Olivella monilifera is a species of the dwarf - sea snail , small gastropod mollusk
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in the Olivellidae family , the marine olives .
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- He was cut by the Browns after being signed by the Bills in 2013 . He was later
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released .
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- Olivella monilifera is a kind of sea snail , marine gastropod mollusk in the Olivellidae
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family , the dwarf olives .
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- source_sentence: Hayashi said that Mackey `` is a sort of `` of the original model
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for Tenchi .
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sentences:
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- In the summer of 2009 , Ellick shot a documentary about Malala Yousafzai .
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- Hayashi said that Mackey is `` sort of `` the original model for Tenchi .
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- Mackey said that Hayashi is `` sort of `` the original model for Tenchi .
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- source_sentence: Much of the film was shot on location in Los Angeles and in nearby
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Burbank and Glendale .
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sentences:
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- Much of the film was shot on location in Los Angeles and in nearby Burbank and
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Glendale .
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- Much of the film was shot on site in Burbank and Glendale and in the nearby Los
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Angeles .
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- Traxxpad is a music application for the Sony PlayStation Portable developed by
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the Definitive Studios and published by Eidos Interactive .
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- source_sentence: According to him , the earth is the carrier of his artistic work
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, which is only integrated into the creative process by minimal changes .
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sentences:
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- National players are Bold players .
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- According to him , earth is the carrier of his artistic work being integrated
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into the creative process only by minimal changes .
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- According to him , earth is the carrier of his creative work being integrated
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into the artistic process only by minimal changes .
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datasets:
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- redis/langcache-sentencepairs-v2
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pipeline_tag: sentence-similarity
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model = SentenceTransformer("redis/langcache-embed-v3")
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# Run inference
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sentences = [
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'According to him , the earth is the carrier of his artistic work , which is only integrated into the creative process by minimal changes .',
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'According to him , earth is the carrier of his artistic work being integrated into the creative process only by minimal changes .',
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'According to him , earth is the carrier of his creative work being integrated into the artistic process only by minimal changes .',
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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print(similarities)
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# tensor([[1.0000, 0.9961, 0.9922],
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# [0.9961, 1.0000, 0.9961],
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# [0.9922, 0.9961, 0.9961]], dtype=torch.bfloat16)
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```
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<!--
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#### LangCache Sentence Pairs (all)
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* Dataset: [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v2)
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* Size: 126,938 training samples
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
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* Approximate statistics based on the first 1000 samples:
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| | anchor | positive | negative |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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| type | string | string | string |
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| details | <ul><li>min: 8 tokens</li><li>mean: 27.27 tokens</li><li>max: 49 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 27.27 tokens</li><li>max: 48 tokens</li></ul> | <ul><li>min: 7 tokens</li><li>mean: 26.54 tokens</li><li>max: 61 tokens</li></ul> |
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* Samples:
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| anchor | positive | negative |
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|:--------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------|
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| <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>how can I get financial freedom as soon as possible?</code> |
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| <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The older Punts are still very much in existence today and race in the same fleets as the newer boats .</code> |
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| <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley , , was located at Turner Valley Bar N Ranch Airport , southwest of Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .</code> |
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* Loss: <code>losses.CustomBCELoss</code>
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### Evaluation Dataset
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#### LangCache Sentence Pairs (all)
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* Dataset: [LangCache Sentence Pairs (all)](https://huggingface.co/datasets/redis/langcache-sentencepairs-v2)
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* Size: 126,938 evaluation samples
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
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* Approximate statistics based on the first 1000 samples:
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| | anchor | positive | negative |
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|:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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| type | string | string | string |
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| details | <ul><li>min: 8 tokens</li><li>mean: 27.27 tokens</li><li>max: 49 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 27.27 tokens</li><li>max: 48 tokens</li></ul> | <ul><li>min: 7 tokens</li><li>mean: 26.54 tokens</li><li>max: 61 tokens</li></ul> |
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* Samples:
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| anchor | positive | negative |
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|:--------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------|
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| <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>how can I get financial freedom as soon as possible?</code> |
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| <code>The newer punts are still very much in existence today and run in the same fleets as the older boats .</code> | <code>The newer Punts are still very much in existence today and race in the same fleets as the older boats .</code> | <code>The older Punts are still very much in existence today and race in the same fleets as the newer boats .</code> |
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| <code>Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley , , was located at Turner Valley Bar N Ranch Airport , southwest of Turner Valley Bar N Ranch , Alberta , Canada .</code> | <code>Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .</code> |
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* Loss: <code>losses.CustomBCELoss</code>
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### Training Logs
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