Model: terrencewee12/xlm-roberta-base-sentiment-multilingual-finetuned
Author: terrencewee12
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, xlm-roberta, text-classification, sentiment-analysis, multilingual, en, ms, zh, dataset:tyqiangz/multilingual-sentiments, arxiv:1910.09700, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: language: en, ms, zh
tags: sentiment-analysis, text-classification, multilingual
license: apache-2.0
datasets: tyqiangz/multilingual-sentiments
metrics: accuracy
model-index: name: xlm-roberta-base-sentiment-multilingual-finetuned
results: task: type: text-classification
name: Text Classification
dataset: type: tyqiangz/multilingual-sentiments
name: Multilingual Sentiments
metrics: type: accuracy
value: 0.7528205128205128
verified: no
Baseline Scores: Classification Report: Negative: Precision: 0.6153
Recall: 0.8292
F1-score: 0.7064
Support: 1680
Neutral: Precision: 0.5381
Recall: 0.3035
F1-score: 0.3881
Support: 1443
Positive: Precision: 0.7607
Recall: 0.7803
F1-score: 0.7704
Support: 1752
Metrics: Accuracy: Value: 0.656
Support: 4875
Macro Avg: Value: 0.638
Support: 4875
Weighted Avg: Value: 0.6447
Support: 4875
Finetuned Scores: Classification Report: Negative: Precision: 0.7487
Recall: 0.7875
F1-score: 0.7676
Support: 1680
Neutral: Precision: 0.6775
Recall: 0.6216
F1-score: 0.6484
Support: 1443
Positive: Precision: 0.8128
Recall: 0.8276
F1-score: 0.8201
Support: 1752
Metrics: Accuracy: Value: 0.7528
Support: 4875
Macro Avg: Value: 0.7463
Support: 4875
Weighted Avg: Value: 0.7507
Support: 4875
Likes: 0 | All-time downloads: 464
Created: 2024-07-04 07:42:33