A pre-trained Roberta masked language model (MLM) trained on around 12K fake news dataset called LIAR. The perplexity of the original pre-trained Roberta model on the dataset is 5.957 and the perplexity of the adapted model is 3.918.
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transformers pytorch tf roberta fill-mask autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us 

A pre-trained Roberta masked language model (MLM) trained on around 12K fake news dataset called LIAR. The perplexity of the original pre-trained Roberta model on the dataset is 5.957 and the perplexity of the adapted model is 3.918.
TAGS
#transformers #pytorch #tf #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #tf #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us 
