cardiffnlp / roberta-large-tweet-topic-single-2020

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Total runs: 15
24-hour runs: 0
7-day runs: -1
30-day runs: 2
Model's Last Updated: October 01 2022
text-classification

Introduction of roberta-large-tweet-topic-single-2020

Model Details of roberta-large-tweet-topic-single-2020

cardiffnlp/roberta-large-tweet-topic-single-2020

This model is a fine-tuned version of roberta-large on the tweet_topic_single . This model is fine-tuned on train_2020 split and validated on test_2021 split of tweet_topic. Fine-tuning script can be found here . It achieves the following results on the test_2021 set:

  • F1 (micro): 0.8789131718842291
  • F1 (macro): 0.7056499344872201
  • Accuracy: 0.8789131718842291
Usage
from transformers import pipeline

pipe = pipeline("text-classification", "cardiffnlp/roberta-large-tweet-topic-single-2020")  
topic = pipe("Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk. Beautiful weather. Wishing everyone a safe Labor Day weekend in the US.")
print(topic)
Reference

@inproceedings{dimosthenis-etal-2022-twitter,
    title = "{T}witter {T}opic {C}lassification",
    author = "Antypas, Dimosthenis  and
    Ushio, Asahi  and
    Camacho-Collados, Jose  and
    Neves, Leonardo  and
    Silva, Vitor  and
    Barbieri, Francesco",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics"
}

Runs of cardiffnlp roberta-large-tweet-topic-single-2020 on huggingface.co

15
Total runs
0
24-hour runs
-3
3-day runs
-1
7-day runs
2
30-day runs

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