cardiffnlp / text-classification updated 3 years ago

twitter-roberta-base-sentiment

Name: twitter-roberta-base-sentiment
Author: cardiffnlp

This is a roBERTa-base model trained on ~58M tweets and finetuned for sentiment analysis with the TweetEval benchmark. This model is suitable for English (for a similar multilingual model, see XLM-T).

Params

—

Context

512

Downloads 30d

247 K

Likes

339

Licence: unknown Not gated 1 languages View on Hugging Face ↗

Download history

daily snapshots · 55 days

▲ 252 K in the last 30 days (50.5%)

560 K247 K

Jul 28Aug 15Sep 2Sep 20

Specifications

Architecture: RobertaForSequenceClassification
Context length: 512
Vocabulary: 50,265
Layers / heads: 12 / 12
First seen on the Hub: 2022-03-02
Training datasets: tweet_eval
Added to our catalog: 2026-07-28

Compare with any text-classification model

Popular comparisons

bge-reranker-v2-m3 17.6 M finbert 5.3 M Prompt-Guard-86M 4.4 M bge-reranker-base 4.0 M distilbert-base-uncased-finetuned-sst-2-english 3.7 M twitter-roberta-base-sentiment-latest 3.2 M