README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cuad
model-index:
  - name: bert-small-finetuned-cuad-full
    results: []

bert-small-finetuned-cuad-full

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of cuad dataset.

Note

The model was not trained on the whole dataset but, the first 10% of train + the first 10% of test.

raw_datasets_train, raw_datasets_test = load_dataset("cuad", split=['train[:10%]', 'test[:10%]']) 
datasets = DatasetDict({'train': raw_datasets_train, 'validation': raw_datasets_test})