WikiEditBias400k_UnBIAS-BERT

Model Card for distilRoberta model finetuned on WikiEditBias dataset

<!-- Provide a quick summary of what the model is/does. -->

The UnBIAS-BERT model finetuned on WikiEditBias dataset on the format of edit diff data and 400k samples.

For training data, please ref: https://huggingface.co/datasets/fgs218ok/WikiEditBias/viewer/train400k_val2k_test2k_edit_diff

Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

Input format

The input should be in diff format:

<old_text>{old_sentence1} ... {old_sentenceN}<new_text>{new_sentence1} ... {new_sentenceN}

For example:

<old_text>He is a boy.<new_text>He is a nice boy.

Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

model = AutoModel.from_pretrained("fgs218ok/WikiEditBias400k_UnBIAS-BERT")
tokenizer = AutoTokenizer.from_pretrained("fgs218ok/WikiEditBias400k_UnBIAS-BERT")

Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

This model achieves the 85.30% accuracy on fgs218ok/WikiEditBias200k dataset: