Model: convexray/alignment-module-cross-encoder-base
Author: convexray
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, deberta-v2, text-classification, citation-verification, retrieval-augmented-generation, rag, cross-lingual, deberta, cross-encoder, nli, attribution, en, dataset:fever, dataset:din0s/asqa, dataset:miracl/hagrid, base_model:microsoft/deberta-v3-base, base_model:finetune:microsoft/deberta-v3-base, license:cc-by-nc-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v3-base
Card metadata: language: en
license: cc-by-nc-2.0
library_name: transformers
tags: citation-verification, retrieval-augmented-generation, rag, cross-lingual, deberta, cross-encoder, nli, attribution
pipeline_tag: text-classification
datasets: fever, din0s/asqa, miracl/hagrid
metrics: f1, precision, recall, accuracy, roc_auc
base_model: microsoft/deberta-v3-base
model-index: name: dualtrack-alignment-module
results: task: type: text-classification
name: Citation Verification
metrics: type: f1
value: 0.89
name: F1 Score
verified: no, type: accuracy
value: 0.87
name: Accuracy
verified: no, type: roc_auc
value: 0.94
name: ROC-AUC
verified: no
Likes: 0 | All-time downloads: 20
Created: 2025-12-27 17:30:05