twitter-roberta-base-sentiment-latest
This is a RoBERTa-base model trained on ~124M tweets from January 2018 to December 2021, and finetuned for sentiment analysis with the TweetEval benchmark. The original Twitter-based RoBERTa model can be found here and the original reference paper is TweetEval. This model is suitable for English.
Params
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Context
512
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2.4 M
Likes
857
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Specifications
- Architecture
- RobertaForSequenceClassification
- Context length
- 512
- Vocabulary
- 50,265
- Layers / heads
- 12 / 12
- Licence
- cc-by-4.0
- First seen on the Hub
- 2022-03-15
- Training datasets
- tweet_eval
- Added to our catalog
- 2026-07-28
Compare with any text-classification model