metadata
license: mit
datasets:
- LennardZuendorf/legalis
language:
- de
metrics:
- accuracy
library_name: transformers
tags:
- legal
Legalis BERT Model
Model Details
Model Description
This is a court case prediction model build for a university course, this particular one utalises text classification with
- Developed by: Lennard Zündorf
- Model type: transformer-based
- Language(s) (NLP): German
- Finetuned from model : German BERT/ gbert-base
Model Sources
- Repository: GitHub
- Demo: on Huggingface
Uses
You can use this model to try and predict the outcome of a court case based on the legal facts.
Training Details
Training Data
This model uses the similarly named dataset
Testing Data & Metrics
Metrics
There has not been any testing yet.
Results
The accuracy score against the testing split is as high as 0.60