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:3587
- loss:CustomBCELoss
base_model: Alibaba-NLP/gte-modernbert-base
widget:
- source_sentence: Hunter College was originally Lehman College 's uptown campus .
sentences:
- >-
Acquired programming includes the Irish soap `` Fair City `` and Finnish
drama `` Black Widows `` .
- >-
According to the United States Census Bureau , the town has a total area
of ; of the area is land and 0.66 % is water .
- Hunter College originally was Lehman College Uptown Campus .
- source_sentence: He hoped to defeat them and then marry Ravonna .
sentences:
- >-
Stillwater Creek received its official name in 1884 when William L.
Couch established his `` boomer colony `` on its banks .
- Note that the invertible of a matrix is always an exponential matrix .
- He hoped to defeat them and marry Ravonna .
- source_sentence: >-
Born on February 2 , 1984 , Abrar Khan is a professional Pakistani
international Kabaddi player .
sentences:
- >-
Born on February 2 , 1984 , Abrar Khan is a professional Pakistani
international Kabaddi player .
- >-
Together , the paired mylohyoid muscles form a muscular floor for the
oral cavity of the mouth .
- >-
Abrar Khan born 2 February 1984 is a Pakistani professional
international Kabaddi player .
- source_sentence: >-
Certainly , `` Lucy was nothing like flat `` in physical form , social
condition , and personality .
sentences:
- >-
The real number is called the `` imaginary part `` of the real number ;
the real number is called the `` complex part `` of .
- >-
From the Celebes lake , the captain Bullock observed the appearance of
the corona , while Gustav Fritsch accompanied an expedition to Aden .
- >-
Certainly `` Lucy was , in physical form , social condition and
personality , nothing like Shallow `` .
- source_sentence: >-
The trio has performed besides Gesaffelstein , Justice , Bob Moses and Lee
Foss .
sentences:
- >-
The trio has performed besides Gesaffelstein , Justice , Bob Moses and
Lee Foss .
- >-
The suttas generally contain educational content , while other early
Buddhist texts deal with monastic discipline or vinaya .
- >-
The trio has performed alongside Bob Moses , Justice , Gesaffelstein and
Lee Foss .
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: 0.773078207125666
name: Cosine Ndcg@10
- type: cosine_mrr@1
value: 0.5861241448475948
name: Cosine Mrr@1
- type: cosine_map@100
value: 0.7217228927629071
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 = [
'The trio has performed besides Gesaffelstein , Justice , Bob Moses and Lee Foss .',
'The trio has performed besides Gesaffelstein , Justice , Bob Moses and Lee Foss .',
'The trio has performed alongside Bob Moses , Justice , Gesaffelstein and Lee Foss .',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[0.9961, 0.9961, 0.9844],
# [0.9961, 0.9961, 0.9844],
# [0.9844, 0.9844, 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 | 0.7731 |
cosine_mrr@1 | 0.5861 |
cosine_map@100 | 0.7217 |
Training Details
Training Dataset
LangCache Sentence Pairs (all)
- Dataset: LangCache Sentence Pairs (all)
- Size: 1,922 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: 27.26 tokens
- max: 49 tokens
- min: 8 tokens
- mean: 27.24 tokens
- max: 49 tokens
- min: 9 tokens
- mean: 27.09 tokens
- max: 49 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 .
At that time , on June 22 , 1754 , Edward Bentham married Bentham Elizabeth Bates ( d . 1790 ) from Hampshire in the nearby county of Alton .
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 .
In 2012 , Cornell 5th and Lehigh 8th , Cornell was also 4th in 2013 and 7th in 2014 .
Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .
Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the 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.CustomBCELoss
Evaluation Dataset
LangCache Sentence Pairs (all)
- Dataset: LangCache Sentence Pairs (all)
- Size: 1,922 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: 27.26 tokens
- max: 49 tokens
- min: 8 tokens
- mean: 27.24 tokens
- max: 49 tokens
- min: 9 tokens
- mean: 27.09 tokens
- max: 49 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 .
At that time , on June 22 , 1754 , Edward Bentham married Bentham Elizabeth Bates ( d . 1790 ) from Hampshire in the nearby county of Alton .
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 .
In 2012 , Cornell 5th and Lehigh 8th , Cornell was also 4th in 2013 and 7th in 2014 .
Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the Turner Valley Bar N Ranch , Alberta , Canada .
Turner Valley , was at the Turner Valley Bar N Ranch Airport , southwest of the 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.CustomBCELoss
Training Logs
Epoch | Step | test_cosine_ndcg@10 |
---|---|---|
-1 | -1 | 0.7731 |
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",
}