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
More Information About roberta-large-tweet-topic-single-all huggingface.co Model
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roberta-large-tweet-topic-single-all install url in huggingface.co: