Model: spencercdz/xlm-roberta-sentiment-requests
Author: spencercdz
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, xlm-roberta, text-classification, multi-label-classification, multi-head-classification, disaster-response, humanitarian-aid, social-media, twitter, generated_from_trainer, en, multilingual, dataset:community-datasets/disaster_response_messages, base_model:cardiffnlp/twitter-xlm-roberta-base-sentiment, base_model:finetune:cardiffnlp/twitter-xlm-roberta-base-sentiment, model-index, endpoints_compatible, region:us
Base models (finetune): id: cardiffnlp/twitter-xlm-roberta-base-sentiment
Card metadata: library_name: transformers
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags: text-classification, multi-label-classification, multi-head-classification, disaster-response, humanitarian-aid, social-media, twitter, generated_from_trainer
model-index: name: xlm-roberta-sentiment-requests
results: task: type: text-classification
dataset: name: community-datasets/disaster_response_messages
type: community-datasets
config: default
split: evaluation
metrics: name: F1 Micro
type: f1
value: 0.724
verified: no, name: F1 Macro
type: f1
value: 0.3505
verified: no, name: Subset Accuracy
type: accuracy
value: 0.2588
verified: no
datasets: community-datasets/disaster_response_messages
pipeline_tag: text-classification
language: en, multilingual
Likes: 0 | All-time downloads: 227
Created: 2025-06-26 06:54:16