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.
- Downloads last month
- -
Model tree for iolimat482/common-core-bert-hierarchical-classification_v3
Base model
google-bert/bert-base-uncased