Model: redis/langcache-reranker-v1-miniL6-softmnrl-triplet
Author: redis
Pipeline: text-ranking
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, cross-encoder, text-classification, sentence-pair-classification, semantic-similarity, semantic-search, retrieval, reranking, generated_from_trainer, dataset_size:1452533, loss:MultipleNegativesRankingLoss, text-ranking, en, dataset:redis/langcache-sentencepairs-v1, arxiv:1908.10084, base_model:cross-encoder/ms-marco-MiniLM-L6-v2, base_model:finetune:cross-encoder/ms-marco-MiniLM-L6-v2, license:apache-2.0, model-index, region:us
Base models (finetune): id: cross-encoder/ms-marco-MiniLM-L6-v2
Card 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:1452533, loss:MultipleNegativesRankingLoss
base_model: cross-encoder/ms-marco-MiniLM-L6-v2
datasets: redis/langcache-sentencepairs-v1
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: test cls
type: test_cls
metrics: type: accuracy
value: 0.8275422840650747
name: Accuracy
verified: no, type: accuracy_threshold
value: 0.00318145751953125
name: Accuracy Threshold
verified: no, type: f1
value: 0.8104219459514619
name: F1
verified: no, type: f1_threshold
value: -0.298828125
name: F1 Threshold
verified: no, type: precision
value: 0.7457510407211493
name: Precision
verified: no, type: recall
value: 0.8873743016759776
name: Recall
verified: no, type: average_precision
value: 0.8721928487901052
name: Average Precision
verified: no
Likes: 0 | All-time downloads: 305
Created: 2025-12-04 23:14:56