# DistilROBERTA fine-tuned for bias detection

This model is based on [distilroberta-base](https://huggingface.co/distilroberta-base) pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).

## Training data
The dataset used to fine-tune the model is [wikirev-bias](https://huggingface.co/datasets/valurank/wikirev-bias), extracted from English wikipedia revisions, see https://github.com/rpryzant/neutralizing-bias for details on the WNC wiki edits corpus.

## Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.


{"language": "en", "license": "other", "datasets": ["valurank/wikirev-bias"]}
transformers pytorch roberta text-classification en dataset:valurank/wikirev-bias license:other autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #roberta #text-classification #en #dataset-valurank/wikirev-bias #license-other #autotrain_compatible #endpoints_compatible #has_space #region-us 

# DistilROBERTA fine-tuned for bias detection

This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).

## Training data
The dataset used to fine-tune the model is wikirev-bias, extracted from English wikipedia revisions, see URL for details on the WNC wiki edits corpus.

## Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.


# DistilROBERTA fine-tuned for bias detection

This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased). ## Training data
The dataset used to fine-tune the model is wikirev-bias, extracted from English wikipedia revisions, see URL for details on the WNC wiki edits corpus. ## Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.
TAGS
#transformers #pytorch #roberta #text-classification #en #dataset-valurank/wikirev-bias #license-other #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # DistilROBERTA fine-tuned for bias detection

This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased). ## Training data
The dataset used to fine-tune the model is wikirev-bias, extracted from English wikipedia revisions, see URL for details on the WNC wiki edits corpus. ## Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.
passage: TAGS
#transformers #pytorch #roberta #text-classification #en #dataset-valurank/wikirev-bias #license-other #autotrain_compatible #endpoints_compatible #has_space #region-us 
# DistilROBERTA fine-tuned for bias detection

This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify text into 2 categories (neutral, biased).## Training data
The dataset used to fine-tune the model is wikirev-bias, extracted from English wikipedia revisions, see URL for details on the WNC wiki edits corpus.## Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.