metadata
language:
- en
license: apache-2.0
tags:
- biencoder
- sentence-transformers
- text-classification
- sentence-pair-classification
- semantic-similarity
- semantic-search
- retrieval
- reranking
- generated_from_trainer
- dataset_size:3119809
- loss:ArcTripletLoss
base_model: Alibaba-NLP/gte-modernbert-base
widget:
- source_sentence: >-
Hayley Vaughan portrayed Ripa on the ABC daytime soap opera , `` All My
Children `` , between 1990 and 2002 .
sentences:
- >-
Traxxpad is a music application for Sony 's PlayStation Portable
published by Definitive Studios and developed by Eidos Interactive .
- >-
Between 1990 and 2002 , Hayley Vaughan Ripa portrayed in the ABC soap
opera `` All My Children `` .
- >-
Between 1990 and 2002 , Ripa Hayley portrayed Vaughan in the ABC soap
opera `` All My Children `` .
- source_sentence: >-
Olivella monilifera is a species of dwarf sea snail , small gastropod
mollusk in the family Olivellidae , the marine olives .
sentences:
- >-
Olivella monilifera is a species of the dwarf - sea snail , small
gastropod mollusk in the Olivellidae family , the marine olives .
- >-
He was cut by the Browns after being signed by the Bills in 2013 . He
was later released .
- >-
Olivella monilifera is a kind of sea snail , marine gastropod mollusk in
the Olivellidae family , the dwarf olives .
- source_sentence: >-
Hayashi said that Mackey `` is a sort of `` of the original model for
Tenchi .
sentences:
- >-
In the summer of 2009 , Ellick shot a documentary about Malala Yousafzai
.
- >-
Hayashi said that Mackey is `` sort of `` the original model for Tenchi
.
- >-
Mackey said that Hayashi is `` sort of `` the original model for Tenchi
.
- source_sentence: >-
Much of the film was shot on location in Los Angeles and in nearby Burbank
and Glendale .
sentences:
- >-
Much of the film was shot on location in Los Angeles and in nearby
Burbank and Glendale .
- >-
Much of the film was shot on site in Burbank and Glendale and in the
nearby Los Angeles .
- >-
Traxxpad is a music application for the Sony PlayStation Portable
developed by the Definitive Studios and published by Eidos Interactive .
- source_sentence: >-
According to him , the earth is the carrier of his artistic work , which
is only integrated into the creative process by minimal changes .
sentences:
- National players are Bold players .
- >-
According to him , earth is the carrier of his artistic work being
integrated into the creative process only by minimal changes .
- >-
According to him , earth is the carrier of his creative work being
integrated into the artistic process only by minimal changes .
datasets:
- redis/langcache-sentencepairs-v2
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_precision@1
- cosine_recall@1
- cosine_ndcg@10
- cosine_mrr@1
- cosine_map@100
model-index:
- name: Redis fine-tuned BiEncoder model for semantic caching on LangCache
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: test
type: test
metrics:
- type: cosine_accuracy@1
value: 0.5861241448475948
name: Cosine Accuracy@1
- type: cosine_precision@1
value: 0.5861241448475948
name: Cosine Precision@1
- type: cosine_recall@1
value: 0.5679885764966713
name: Cosine Recall@1
- type: cosine_ndcg@10
value: 0.7729838064849864
name: Cosine Ndcg@10
- type: cosine_mrr@1
value: 0.5861241448475948
name: Cosine Mrr@1
- type: cosine_map@100
value: 0.7216697804426214
name: Cosine Map@100
Redis fine-tuned BiEncoder model for semantic caching on LangCache
This is a sentence-transformers model finetuned from Alibaba-NLP/gte-modernbert-base on the LangCache Sentence Pairs (all) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for sentence pair similarity.
Model Details
Model Description
- Model Type: Sentence Transformer
- Base model: Alibaba-NLP/gte-modernbert-base
- Maximum Sequence Length: 100 tokens
- Output Dimensionality: 768 dimensions
- Similarity Function: Cosine Similarity
- Training Dataset:
- Language: en
- License: apache-2.0
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 100, 'do_lower_case': False, 'architecture': 'ModernBertModel'})
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("redis/langcache-embed-v3")
# Run inference
sentences = [
'According to him , the earth is the carrier of his artistic work , which is only integrated into the creative process by minimal changes .',
'According to him , earth is the carrier of his artistic work being integrated into the creative process only by minimal changes .',
'According to him , earth is the carrier of his creative work being integrated into the artistic process only by minimal changes .',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.9961, 0.9922],
# [0.9961, 1.0000, 0.9961],
# [0.9922, 0.9961, 0.9961]], dtype=torch.bfloat16)
Evaluation
Metrics
Information Retrieval
- Dataset:
test
- Evaluated with
InformationRetrievalEvaluator
Metric | Value |
---|---|
cosine_accuracy@1 | 0.5861 |
cosine_precision@1 | 0.5861 |
cosine_recall@1 | 0.568 |
cosine_ndcg@10 | 0.773 |
cosine_mrr@1 | 0.5861 |
cosine_map@100 | 0.7217 |
Training Details
Training Dataset
LangCache Sentence Pairs (all)
- Dataset: LangCache Sentence Pairs (all)
- Size: 126,938 training samples
- Columns:
anchor
,positive
, andnegative
- Approximate statistics based on the first 1000 samples:
anchor positive negative type string string string details - min: 8 tokens
- mean: 27.27 tokens
- max: 49 tokens
- min: 8 tokens
- mean: 27.27 tokens
- max: 48 tokens
- min: 7 tokens
- mean: 26.54 tokens
- max: 61 tokens
- Samples:
anchor positive negative The newer Punts are still very much in existence today and race in the same fleets as the older boats .
The newer punts are still very much in existence today and run in the same fleets as the older boats .
how can I get financial freedom as soon as possible?
The newer punts are still very much in existence today and run in the same fleets as the older boats .
The newer Punts are still very much in existence today and race in the same fleets as the older boats .
The older Punts are still very much in existence today and race in the same fleets as the newer boats .
Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .
Turner Valley , , was located at Turner Valley Bar N Ranch Airport , southwest of Turner Valley Bar N Ranch , Alberta , Canada .
Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .
- Loss:
losses.ArcTripletLoss
Evaluation Dataset
LangCache Sentence Pairs (all)
- Dataset: LangCache Sentence Pairs (all)
- Size: 126,938 evaluation samples
- Columns:
anchor
,positive
, andnegative
- Approximate statistics based on the first 1000 samples:
anchor positive negative type string string string details - min: 8 tokens
- mean: 27.27 tokens
- max: 49 tokens
- min: 8 tokens
- mean: 27.27 tokens
- max: 48 tokens
- min: 7 tokens
- mean: 26.54 tokens
- max: 61 tokens
- Samples:
anchor positive negative The newer Punts are still very much in existence today and race in the same fleets as the older boats .
The newer punts are still very much in existence today and run in the same fleets as the older boats .
how can I get financial freedom as soon as possible?
The newer punts are still very much in existence today and run in the same fleets as the older boats .
The newer Punts are still very much in existence today and race in the same fleets as the older boats .
The older Punts are still very much in existence today and race in the same fleets as the newer boats .
Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .
Turner Valley , , was located at Turner Valley Bar N Ranch Airport , southwest of Turner Valley Bar N Ranch , Alberta , Canada .
Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .
- Loss:
losses.ArcTripletLoss
Training Logs
Epoch | Step | test_cosine_ndcg@10 |
---|---|---|
-1 | -1 | 0.7730 |
Framework Versions
- Python: 3.12.3
- Sentence Transformers: 5.1.0
- Transformers: 4.56.0
- PyTorch: 2.8.0+cu128
- Accelerate: 1.10.1
- Datasets: 4.0.0
- Tokenizers: 0.22.0
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}