Hugging Face model: AAU-NLP/BERT-SL1000
Author: AAU-NLP
Created: 2025-02-19 09:40:43
Last modified: 2026-04-24 11:08:23
Pipeline: text-classification
Library: transformers
Likes: 0 | Downloads: 49
Tags: transformers, safetensors, bert, token-classification, financial NLP, named entity recognition, sequence labeling, structured extraction, hierarchical taxonomy, XBRL, iXBRL, SEC filings, financial-information-extraction, text-classification, en, dataset:AAU-NLP/HiFi-KPI, arxiv:2502.15411, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: google-bert/bert-base-uncased
Card metadata:
base_model: bert-base-uncased
datasets: AAU-NLP/HiFi-KPI
language: en
library_name: transformers
license: apache-2.0
model_name: BERT-SL1000
pipeline_tag: text-classification
tags: financial NLP, named entity recognition, sequence labeling, structured extraction, hierarchical taxonomy, XBRL, iXBRL, SEC filings, financial-information-extraction
task_categories: text-classification, token-classification
task_ids: named-entity-recognition, financial-information-extraction
pretty_name: BERT-SL1000: Sequence Labeling for Financial KPI Extraction
size_categories: 1M<n<10M
languages: en
dataset_name: HiFi-KPI
model_description: BERT-SL1000 is a **BERT-based sequence labeling model** fine-tuned on the **HiFi-KPI dataset** for extracting 
**financial key performance indicators (KPIs)** from **SEC earnings filings (10-K & 10-Q)**. It specializes in identifying 
entities, such as revenue, earnings, and financial ratios, using **token classification**.

This model is part of the **HiFi-KPI benchmark** and is optimized for **hierarchical label consistency**.

dataset_link: https://huggingface.co/datasets/AAU-NLP/HiFi-KPI
repo_link: https://github.com/aaunlp/HiFi-KPI