Cal-BERT-SL1000

Model Description

Cal-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, such as revenue, earnings, etc. This model is trained on the HiFi-KPI dataset and is focused on the calculation layer taxonomy with n=1

Use Cases

  • Extracting financial KPIs using iXBRL calculation taxonomy
  • Financial document parsing with entity recognition

Performance

  • Trained on 1,000 most frequent labels from the HiFi-KPI dataset with n=1 in the calculation taxonomy

Dataset & Code

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Dataset used to train AAU-NLP/Cal-BERT-SL1000