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---
license: apache-2.0
datasets:
- fgs218ok/WikiEditBias
language:
- en
---
# Model Card for distilRoberta model finetuned on WikiEditBias dataset
<!-- Provide a quick summary of what the model is/does. -->
The [distilRoberta-base](distilbert/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
<!-- 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/WikiEditBias200k")
tokenizer = AutoTokenizer.from_pretrained("fgs218ok/WikiEditBias200k")
```
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
This model achieves the 83.45% accuracy on fgs218ok/WikiEditBias200k dataset, outperforms GPT-3.5-turbo by large margin while competitive to GPT4o:
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