WikiEditBias200k

Model Card for distilRoberta model finetuned on WikiEditBias dataset

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The distilRoberta-base model finetuned on WikiEditBias dataset on the format of edit diff data and 200k samples.

For training data, please ref: https://huggingface.co/datasets/fgs218ok/WikiEditBias/viewer/train200k_val2k_test2k_edit_diff

Uses

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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/WikiEditBias200k")
tokenizer = AutoTokenizer.from_pretrained("fgs218ok/WikiEditBias200k")

Evaluation

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This model achieves the 83.45% accuracy on fgs218ok/WikiEditBias200k dataset, outperforms GPT-3.5-turbo by large margin while competitive to GPT4o: