bertweet-base-sentiment-analysis
Model trained with SemEval 2017 corpus (around ~40k tweets). Base model is BERTweet, a RoBERTa model trained on English tweets.
Params
—
Context
128
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Likes
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Specifications
- Architecture
- RobertaForSequenceClassification
- Context length
- 128
- Vocabulary
- 64,001
- Layers / heads
- 12 / 12
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-classification model