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roberta-fine-tuned-twitter
andrea-t94/roberta-fine-tuned-twitter
roberta-fine-tuned-twitter is a fill-mask model from andrea-t94. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
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…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Feb 8, 2023
- Updated
- Mar 14, 2023
- SHA
- 0bbf9c83
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Datasets
Model card
From the Hugging Face model README
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
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Feb 8, 2023
- Updated
- Mar 14, 2023