Model: abullard1/germeval2025-vio-moderngbert-cw_and_focal
Author: abullard1
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, modernbert, text-classification, GermEval, 2025, HarmfulContentDetection, HateSpeech, ClassImbalance, ClassWeightedLoss, FocalLoss, German, SocialMedia, Twitter, University-of-Regensburg, ModernGBERT, ViolenceDetection, de, dataset:abullard1/germeval-2025-harmful-content-detection-training-dataset, base_model:LSX-UniWue/ModernGBERT_134M, base_model:finetune:LSX-UniWue/ModernGBERT_134M, license:openrail, model-index, endpoints_compatible, region:us
Base models (finetune): id: LSX-UniWue/ModernGBERT_134M
Card metadata: license: openrail
license_link: https://huggingface.co/LSX-UniWue/ModernGBERT_134M/blob/main/license.md
datasets: abullard1/germeval-2025-harmful-content-detection-training-dataset
language: de
base_model: LSX-UniWue/ModernGBERT_134M
pipeline_tag: text-classification
library_name: transformers
spaces: abullard1/abullardUR_GermEval2025_Submission_ModelZoo
tags: GermEval, 2025, HarmfulContentDetection, HateSpeech, ClassImbalance, ClassWeightedLoss, FocalLoss, German, SocialMedia, Twitter, University-of-Regensburg, ModernGBERT, ViolenceDetection
developers: Samuel Ruairí Bullard
metrics: accuracy, precision, recall, f1
inference: yes
widget: text: Das Wetter ist heute sehr schön und sonnig.
example_title: No Violence, text: Ich bin sehr wütend auf diese Situation!
example_title: Anger, text: Diese Leute verdienen eine harte Strafe für ihre Taten!
example_title: Potential Violence, text: Man sollte sie alle vernichten und eliminieren!
example_title: Violence
model-index: name: germeval2025-vio-moderngbert-cw_and_focal
results: task: type: text-classification
name: Violence Detection
dataset: name: GermEval 2025 Shared Task
type: GermEval-2025-SharedTask
metrics: name: Macro-F1
type: f1
value: 0.81
verified: no
Likes: 0 | All-time downloads: 40
Created: 2025-08-15 14:51:57