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

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Total runs: 31
24-hour runs: 6
7-day runs: 8
30-day runs: 22
Model's Last Updated: October 01 2022
text-classification

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

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

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

This model is a fine-tuned version of roberta-large on the tweet_topic_single . This model is fine-tuned on train_all 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): 0.896042528056704
  • F1 (macro): 0.8000614127334341
  • Accuracy: 0.896042528056704
Usage
from transformers import pipeline

pipe = pipeline("text-classification", "cardiffnlp/roberta-large-tweet-topic-single-all")  
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-all on huggingface.co

31
Total runs
6
24-hour runs
9
3-day runs
8
7-day runs
22
30-day runs

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