Universal Language Model Fine-tuning for Text Classification
Paper
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1801.06146
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Published
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8
Twitter-roBERTa-base fine-tuned using masked language modelling
This is a RoBERTa-base model finetuned (domain adaptation) on ~2M tweets from Jin 2009 (sentiment140). This is the first step of a two steps approach to finetune for sentiment analysis (ULMFit) This model is suitable for English.
Main charachetistics:
- pretrained model and tokenizer: distillroberta-base
- no cleaning/processing applied to the data
Reference Paper: ULMFit. Reference dataset: Sentiment140 Git Repo: TBD Labels: 0 -> Negative; 1 -> Positive
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