Model: haryoaw/scenario-TCR-XLMV_data-cardiffnlp_tweet_sentiment_multilingual_all_beta2
Author: haryoaw
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, xlm-roberta, text-classification, generated_from_trainer, dataset:tweet_sentiment_multilingual, base_model:facebook/xlm-v-base, base_model:finetune:facebook/xlm-v-base, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: facebook/xlm-v-base
Card metadata: license: mit
base_model: facebook/xlm-v-base
tags: generated_from_trainer
datasets: tweet_sentiment_multilingual
metrics: accuracy, f1
model-index: name: scenario-TCR-XLMV_data-cardiffnlp_tweet_sentiment_multilingual_all_beta2
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: 0.3333333333333333
verified: no, name: F1
type: f1
value: 0.16666666666666666
verified: no
Likes: 0 | All-time downloads: 16
Created: 2024-04-02 19:32:29