Model: AAU-NLP/Pre-BERT-SL1000
Author: AAU-NLP
Pipeline: token-classification
Library: transformers
Tags: transformers, safetensors, bert, token-classification, financial NLP, named entity recognition, sequence labeling, structured extraction, hierarchical taxonomy, XBRL, iXBRL, SEC filings, financial-information-extraction, en, dataset:AAU-NLP/HiFi-KPI, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: language: en
tags: financial NLP, named entity recognition, sequence labeling, structured extraction, hierarchical taxonomy, XBRL, iXBRL, SEC filings, financial-information-extraction
datasets: AAU-NLP/HiFi-KPI
model_name: Pre-BERT-SL1000
library_name: transformers
pipeline_tag: token-classification
base_model: bert-base-uncased
task_categories: token-classification
task_ids: named-entity-recognition, financial-information-extraction
pretty_name: Pre-BERT-SL1000: Sequence Labeling for Presentation Taxonomy KPI Extraction
size_categories: 1M<n<10M
languages: en
dataset_name: HiFi-KPI
model_description: Pre-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 that are one level up the **presentation taxonomy**, such as revenueAbstract, earnings, and financial ratios, using **token classification**. 

This model is trained specifically on n=1 with the **presentation taxonomy labels** from **HiFi-KPI**, focusing on entity identification.

dataset_link: https://huggingface.co/datasets/AAU-NLP/HiFi-KPI
repo_link: https://github.com/rasmus393/HiFi-KPI
Likes: 0 | All-time downloads: 1051
Created: 2025-02-19 09:43:51