BERT Hierarchical Classification Model

This model is a fine-tuned BERT-based model for hierarchical classification of Common Core Standard questions.

Model Description

The model classifies input texts into the following hierarchical levels:

  • Grade
  • Domain
  • Cluster
  • Standard

Files

  • config.json: Model configuration.
  • pytorch_model.bin: Model weights.
  • modeling.py: Model class definition.
  • tokenizer/: Tokenizer files.
  • label_encoders.joblib: Label encoders for mapping predictions back to labels.

Usage

See instructions below on how to load and use the model.

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