Model: Amirhossein75/multi-label-emotion-classification-reddit-comments-roberta
Author: Amirhossein75
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, roberta, text-classification, multi-label, emotion-detection, reddit, go_emotions, pytorch, huggingface, peft, accelerate, en, dataset:go_emotions, arxiv:2005.00547, base_model:FacebookAI/roberta-base, base_model:finetune:FacebookAI/roberta-base, license:other, model-index, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/roberta-base
Card metadata: language: en
library_name: transformers
pipeline_tag: text-classification
task_categories: text-classification
task_ids: multi-label-classification
tags: multi-label, emotion-detection, reddit, go_emotions, pytorch, huggingface, peft, accelerate
datasets: go_emotions
license: other
base_model: FacebookAI/roberta-base
model-index: name: multi-label-emotion-classification-reddit-comments (RoBERTa-base on GoEmotions)
results: task: name: Text Classification (multi-label emotions)
type: text-classification
dataset: name: GoEmotions
type: go_emotions
config: simplified
split: test
metrics: name: F1 (micro)
type: f1
value: 0.5284209017274747
args: average: micro
threshold: 0.84
verified: no, name: F1 (macro)
type: f1
value: 0.49954895970228047
args: average: macro
threshold: 0.84
verified: no, name: F1 (samples)
type: f1
value: 0.5301482007949669
args: average: samples
threshold: 0.84
verified: no, name: Average Precision (micro)
type: average_precision
value: 0.5351637127240974
args: average: micro
verified: no, name: Average Precision (macro)
type: average_precision
value: 0.5087333698463412
args: average: macro
verified: no, name: ROC AUC (micro)
type: auc
value: 0.9517119218698238
args: average: micro
verified: no, name: ROC AUC (macro)
type: auc
value: 0.9310155721031019
args: average: macro
verified: no
Likes: 0 | All-time downloads: 878
Created: 2025-09-14 18:19:07