File size: 1,884 Bytes
1723c75 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
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"
---
## **Lite-BERT-SL**
### **Model Description**
Lite-BERT-SL is a **BERT-based sequence labeling model** fine-tuned on the **[HiFi-KPI Lite dataset](https://huggingface.co/datasets/AAU-NLP/hifi-kpi-lite)**,
which is a manually curated version of **HiFi-KPI** with four general KPI categories.
### **Use Cases**
- Identifying **generalized KPIs** from SEC **10-K and 10-Q** reports
- **Financial document parsing** with entity recognition
### **Performance**
- Trained on **HiFi-KPI Lite**, which includes a **manually curated subset** of financial KPIs For performance table see [HiFi-KPI Lite](https://huggingface.co/datasets/AAU-NLP/hifi-kpi-lite)
### **Dataset & Code**
- **Dataset**: [HiFi-KPI Lite on Hugging Face](https://huggingface.co/datasets/AAU-NLP/hifi-kpi-lite)
- **Code example**: [HiFi-KPI GitHub Repository](https://github.com/rasmus393/HiFi-KPI)
|