Model: AAU-NLP/Lite-BERT-SL
Author: AAU-NLP
Pipeline: token-classification
Library: transformers
Tags: transformers, safetensors, bert, token-classification, financial NLP, named entity recognition, sequence labeling, en, dataset:AAU-NLP/hifi-kpi-lite, 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: tags: financial NLP, named entity recognition, sequence labeling
datasets: AAU-NLP/hifi-kpi-lite
model_name: Lite-BERT-SL
library_name: transformers
pipeline_tag: token-classification
base_model: bert-base-uncased
task_categories: token-classification
task_ids: named-entity-recognition
pretty_name: Lite-BERT-SL: Sequence Labeling for HiFi-KPI Lite
size_categories: 10K<n<100K
language: en
dataset_name: HiFi-KPI Lite
model_description: Lite-BERT-SL is a **BERT-based sequence labeling model** fine-tuned on **HiFi-KPI Lite**, a manually curated subset of the 
**HiFi-KPI dataset**. This dataset contains a smaller, expert-chosen set of **financial key performance indicators (KPIs)**.

Unlike the full HiFi-KPI dataset, HiFi-KPI Lite focuses on **four expert-mapped KPI clusters** (e.g., revenue, earnings, 
EPS, EBIT).

dataset_link: https://huggingface.co/datasets/AAU-NLP/hifi-kpi-lite
repo_link: https://github.com/rasmus393/HiFi-KPI
Likes: 1 | All-time downloads: 20
Created: 2025-02-19 09:47:09