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@@ -42,7 +42,7 @@ repo_link: "https://github.com/rasmus393/HiFi-KPI"
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  ### **Model Description**
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  Cal-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.
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- This model is trained on the [HiFi-KPI dataset](https://huggingface.co/datasets/AAU-NLP/HiFi-KPI) and is focused onthe calculation layer taxonomy with n=1
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  ### **Use Cases**
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  - Extracting **financial KPIs** using **iXBRL calculation taxonomy**
 
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  ### **Model Description**
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  Cal-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.
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+ This model is trained on the [HiFi-KPI dataset](https://huggingface.co/datasets/AAU-NLP/HiFi-KPI) and is focused on the calculation layer taxonomy with n=1
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  ### **Use Cases**
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  - Extracting **financial KPIs** using **iXBRL calculation taxonomy**