cardiffnlp / text-classification updated 1 year ago

twitter-roberta-base-sentiment-latest

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

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

—

Context

512

Downloads 30d

2.6 M

Likes

824

Commercial use: allowed cc-by-4.0 Not gated 1 languages View on Hugging Face ↗

Download history

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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

bge-reranker-v2-m3 19.2 M finbert 5.6 M bge-reranker-base 4.6 M Prompt-Guard-86M 4.5 M distilbert-base-uncased-finetuned-sst-2-english 3.7 M koelectra-small-v3-nsmc 2.9 M

Appears in

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