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: 8192 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': 8192, '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("aditeyabaral-redis/langcache-embed-v3")
# Run inference
sentences = [
'The band pursued `` signals `` in January 2012 in three weeks , and drums were recorded in a day and a half .',
'The band tracked `` Signals `` in three weeks in January 2012 . Drums were recorded in a day and a half .',
'Contributors include actor Anton LaVey , Satanist Christopher Lee , serial killer expert Clive Barker , author Karen Greenlee , and necrophile Robert Ressler .',
]
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, 0.9599, 0.4944],
# [0.9599, 1.0000, 0.5097],
# [0.4944, 0.5097, 1.0000]])
Evaluation
Metrics
Binary Classification
- Datasets:
val
andtest
- Evaluated with
BinaryClassificationEvaluator
Metric | val | test |
---|---|---|
cosine_accuracy | 0.763 | 0.7035 |
cosine_accuracy_threshold | 0.864 | 0.8521 |
cosine_f1 | 0.6907 | 0.7118 |
cosine_f1_threshold | 0.8262 | 0.811 |
cosine_precision | 0.6291 | 0.5979 |
cosine_recall | 0.7658 | 0.8794 |
cosine_ap | 0.7351 | 0.6474 |
cosine_mcc | 0.4771 | 0.4409 |
Training Details
Training Dataset
LangCache Sentence Pairs (all)
- Dataset: LangCache Sentence Pairs (all)
- Size: 62,021 training samples
- Columns:
sentence1
,sentence2
, andlabel
- Approximate statistics based on the first 1000 samples:
sentence1 sentence2 label type string string int details - min: 8 tokens
- mean: 27.46 tokens
- max: 53 tokens
- min: 9 tokens
- mean: 27.36 tokens
- max: 52 tokens
- 0: ~50.30%
- 1: ~49.70%
- Samples:
sentence1 sentence2 label 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 .
1
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 .
0
After losing his second election , he resigned as opposition leader and was replaced by Geoff Pearsall .
Max Bingham resigned as opposition leader after losing his second election , and was replaced by Geoff Pearsall .
1
- Loss:
CoSENTLoss
with these parameters:{ "scale": 20.0, "similarity_fct": "pairwise_cos_sim" }
Evaluation Dataset
LangCache Sentence Pairs (all)
- Dataset: LangCache Sentence Pairs (all)
- Size: 62,021 evaluation samples
- Columns:
sentence1
,sentence2
, andlabel
- Approximate statistics based on the first 1000 samples:
sentence1 sentence2 label type string string int details - min: 8 tokens
- mean: 27.46 tokens
- max: 53 tokens
- min: 9 tokens
- mean: 27.36 tokens
- max: 52 tokens
- 0: ~50.30%
- 1: ~49.70%
- Samples:
sentence1 sentence2 label 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 .
1
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 .
0
After losing his second election , he resigned as opposition leader and was replaced by Geoff Pearsall .
Max Bingham resigned as opposition leader after losing his second election , and was replaced by Geoff Pearsall .
1
- Loss:
CoSENTLoss
with these parameters:{ "scale": 20.0, "similarity_fct": "pairwise_cos_sim" }
Training Logs
Epoch | Step | val_cosine_ap | test_cosine_ap |
---|---|---|---|
-1 | -1 | 0.7351 | 0.6474 |
Framework Versions
- Python: 3.12.3
- Sentence Transformers: 5.1.0
- Transformers: 4.55.0
- PyTorch: 2.8.0+cu128
- Accelerate: 1.10.0
- Datasets: 4.0.0
- Tokenizers: 0.21.4
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",
}
CoSENTLoss
@online{kexuefm-8847,
title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
author={Su Jianlin},
year={2022},
month={Jan},
url={https://kexue.fm/archives/8847},
}
- Downloads last month
- 96
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for aditeyabaral-redis/langcache-embed-v3
Base model
answerdotai/ModernBERT-base
Finetuned
Alibaba-NLP/gte-modernbert-base
Dataset used to train aditeyabaral-redis/langcache-embed-v3
Evaluation results
- Cosine Accuracy on valself-reported0.763
- Cosine Accuracy Threshold on valself-reported0.864
- Cosine F1 on valself-reported0.691
- Cosine F1 Threshold on valself-reported0.826
- Cosine Precision on valself-reported0.629
- Cosine Recall on valself-reported0.766
- Cosine Ap on valself-reported0.735
- Cosine Mcc on valself-reported0.477
- Cosine Accuracy on testself-reported0.704
- Cosine Accuracy Threshold on testself-reported0.852