cardiffnlp / xlm-roberta-base-sentiment-multilingual

huggingface.co
Total runs: 163
24-hour runs: -8
7-day runs: -56
30-day runs: 47
Model's Last Updated: December 01 2022
text-classification

Introduction of xlm-roberta-base-sentiment-multilingual

Model Details of xlm-roberta-base-sentiment-multilingual

cardiffnlp/xlm-roberta-base-sentiment-multilingual

This model is a fine-tuned version of xlm-roberta-base on the cardiffnlp/tweet_sentiment_multilingual (all) via tweetnlp . Training split is train and parameters have been tuned on the validation split validation .

Following metrics are achieved on the test split test ( link ).

  • F1 (micro): 0.665948275862069
  • F1 (macro): 0.6628627126803655
  • Accuracy: 0.665948275862069
Usage

Install tweetnlp via pip.

pip install tweetnlp

Load the model in python.

import tweetnlp
model = tweetnlp.Classifier("cardiffnlp/xlm-roberta-base-sentiment-multilingual", max_length=128)
model.predict('Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}')
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 xlm-roberta-base-sentiment-multilingual on huggingface.co

163
Total runs
-8
24-hour runs
-12
3-day runs
-56
7-day runs
47
30-day runs

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xlm-roberta-base-sentiment-multilingual install

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