AAU-NLP
/

BERT-SL1000

Text Classification

token-classification

named entity recognition

sequence labeling

structured extraction

hierarchical taxonomy

financial-information-extraction

text-embeddings-inference

Model card Files Files and versions

rasmus-aau commited on Feb 20, 2025

Commit

ab5866f

·

verified ·

1 Parent(s): d03a12a

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -43,7 +43,7 @@ repo_link: "https://github.com/rasmus393/HiFi-KPI"
 ### **Model Description**
 BERT-SL1000 is a **BERT-based sequence labeling model** fine-tuned on the **[HiFi-KPI dataset](https://huggingface.co/datasets/AAU-NLP/HiFi-KPI)** for extracting **financial key performance indicators (KPIs)** from **SEC earnings filings (10-K & 10-Q)**. It specializes in identifying entities, such as revenue, earnings etc.
-This model is trained of the HiFi-KPI dataset
 ### **Use Cases**
 - Extracting **financial KPIs** from SEC **10-K and 10-Q** reports

 ### **Model Description**
 BERT-SL1000 is a **BERT-based sequence labeling model** fine-tuned on the **[HiFi-KPI dataset](https://huggingface.co/datasets/AAU-NLP/HiFi-KPI)** for extracting **financial key performance indicators (KPIs)** from **SEC earnings filings (10-K & 10-Q)**. It specializes in identifying entities, such as revenue, earnings etc.
+This model is trained on the [HiFi-KPI dataset](https://huggingface.co/datasets/AAU-NLP/HiFi-KPI)
 ### **Use Cases**
 - Extracting **financial KPIs** from SEC **10-K and 10-Q** reports