Model: haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d
Author: haryoaw
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, xlm-roberta, text-classification, generated_from_trainer, dataset:tweet_sentiment_multilingual, base_model:FacebookAI/xlm-roberta-base, base_model:finetune:FacebookAI/xlm-roberta-base, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/xlm-roberta-base
Card metadata: license: mit
base_model: xlm-roberta-base
tags: generated_from_trainer
datasets: tweet_sentiment_multilingual
metrics: accuracy, f1
model-index: name: scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d
results: task: name: Text Classification
type: text-classification
dataset: name: tweet_sentiment_multilingual
type: tweet_sentiment_multilingual
config: all
split: validation
args: all
metrics: name: Accuracy
type: accuracy
value: 0.6396604938271605
verified: no, name: F1
type: f1
value: 0.6384456793550767
verified: no
Likes: 0 | All-time downloads: 241
Created: 2024-04-09 18:17:41