metadata
language:
- en
license: apache-2.0
tags:
- cross-encoder
- sentence-transformers
- text-classification
- sentence-pair-classification
- semantic-similarity
- semantic-search
- retrieval
- reranking
- generated_from_trainer
- dataset_size:1047690
- loss:BinaryCrossEntropyLoss
base_model: Alibaba-NLP/gte-reranker-modernbert-base
datasets:
- aditeyabaral-redis/langcache-sentencepairs
pipeline_tag: text-ranking
library_name: sentence-transformers
metrics:
- accuracy
- accuracy_threshold
- f1
- f1_threshold
- precision
- recall
- average_precision
model-index:
- name: Redis fine-tuned CrossEncoder model for semantic caching on LangCache
results:
- task:
type: cross-encoder-classification
name: Cross Encoder Classification
dataset:
name: val
type: val
metrics:
- type: accuracy
value: 0.77180249851279
name: Accuracy
- type: accuracy_threshold
value: 0.8926752805709839
name: Accuracy Threshold
- type: f1
value: 0.6933947772657449
name: F1
- type: f1_threshold
value: 0.8759380578994751
name: F1 Threshold
- type: precision
value: 0.678796992481203
name: Precision
- type: recall
value: 0.7086342229199372
name: Recall
- type: average_precision
value: 0.7676424589681807
name: Average Precision
- task:
type: cross-encoder-classification
name: Cross Encoder Classification
dataset:
name: test
type: test
metrics:
- type: accuracy
value: 0.7230292965285952
name: Accuracy
- type: accuracy_threshold
value: 0.9352303147315979
name: Accuracy Threshold
- type: f1
value: 0.7144263194410831
name: F1
- type: f1_threshold
value: 0.9142870903015137
name: F1 Threshold
- type: precision
value: 0.6302559284880577
name: Precision
- type: recall
value: 0.8245437616387337
name: Recall
- type: average_precision
value: 0.6906882331078481
name: Average Precision
Redis fine-tuned CrossEncoder model for semantic caching on LangCache
This is a Cross Encoder model finetuned from Alibaba-NLP/gte-reranker-modernbert-base on the LangCache Sentence Pairs (all) dataset using the sentence-transformers library. It computes scores for pairs of texts, which can be used for sentence pair classification.
Model Details
Model Description
- Model Type: Cross Encoder
- Base model: Alibaba-NLP/gte-reranker-modernbert-base
- Maximum Sequence Length: 8192 tokens
- Number of Output Labels: 1 label
- Training Dataset:
- Language: en
- License: apache-2.0
Model Sources
- Documentation: Sentence Transformers Documentation
- Documentation: Cross Encoder Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Cross Encoders on Hugging Face
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 CrossEncoder
# Download from the 🤗 Hub
model = CrossEncoder("aditeyabaral-redis/langcache-reranker-v1")
# Get scores for pairs of texts
pairs = [
['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 .'],
['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 .'],
['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 .'],
['She married Peter Haygarth on 29 May 1964 in Durban . Her second marriage , to Robin Osborne , took place in 1977 .', 'She married Robin Osborne on May 29 , 1964 in Durban , and her second marriage with Peter Haygarth took place in 1977 .'],
['In 2005 she moved to Norway , settled in Geilo and worked as a rafting guide , in 2006 she started mountain biking - races .', 'In 2005 , she moved to Geilo , settling in Norway and worked as a rafting guide . She started mountain bike races in 2006 .'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)
# Or rank different texts based on similarity to a single text
ranks = model.rank(
'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 .',
'Turner Valley Bar N Ranch Airport , , was located at Turner Valley Bar N Ranch , southwest of Turner Valley , Alberta , Canada .',
'Max Bingham resigned as opposition leader after losing his second election , and was replaced by Geoff Pearsall .',
'She married Robin Osborne on May 29 , 1964 in Durban , and her second marriage with Peter Haygarth took place in 1977 .',
'In 2005 , she moved to Geilo , settling in Norway and worked as a rafting guide . She started mountain bike races in 2006 .',
]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]
Evaluation
Metrics
Cross Encoder Classification
- Datasets:
val
andtest
- Evaluated with
CrossEncoderClassificationEvaluator
Metric | val | test |
---|---|---|
accuracy | 0.7718 | 0.723 |
accuracy_threshold | 0.8927 | 0.9352 |
f1 | 0.6934 | 0.7144 |
f1_threshold | 0.8759 | 0.9143 |
precision | 0.6788 | 0.6303 |
recall | 0.7086 | 0.8245 |
average_precision | 0.7676 | 0.6907 |
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: 27 characters
- mean: 112.72 characters
- max: 197 characters
- min: 27 characters
- mean: 112.54 characters
- max: 198 characters
- 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:
BinaryCrossEntropyLoss
with these parameters:{ "activation_fn": "torch.nn.modules.linear.Identity", "pos_weight": null }
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: 27 characters
- mean: 112.72 characters
- max: 197 characters
- min: 27 characters
- mean: 112.54 characters
- max: 198 characters
- 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:
BinaryCrossEntropyLoss
with these parameters:{ "activation_fn": "torch.nn.modules.linear.Identity", "pos_weight": null }
Training Logs
Epoch | Step | val_average_precision | test_average_precision |
---|---|---|---|
-1 | -1 | 0.7676 | 0.6907 |
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",
}