Model: Mitchins/deberta-v3-small-literary-explicitness
Author: Mitchins
Pipeline: text-classification
Tags: safetensors, deberta-v2, text-classification, literary-analysis, content-moderation, explicitness-detection, deberta-v3, pytorch, focal-loss, en, base_model:microsoft/deberta-v3-small, base_model:finetune:microsoft/deberta-v3-small, license:apache-2.0, model-index, region:us
Base models (finetune): id: microsoft/deberta-v3-small
Card metadata: language: en
license: apache-2.0
base_model: microsoft/deberta-v3-small
tags: text-classification, literary-analysis, content-moderation, explicitness-detection, deberta-v3, pytorch, focal-loss
pipeline_tag: text-classification
model-index: name: deberta-v3-small-explicit-classifier-v2
results: task: type: text-classification
name: Literary Explicitness Classification
dataset: name: Custom Literary Dataset (Deduplicated)
type: custom
metrics: type: accuracy
value: 0.818
name: Accuracy
verified: no, type: f1
value: 0.754
name: Macro F1
verified: no, type: f1
value: 0.816
name: Weighted F1
verified: no
widget: text: Content warning: This story contains mature themes including explicit sexual content and violence.
example_title: Content Disclaimer, text: His hand lingered on hers as he helped her from the carriage, their fingers intertwining despite propriety.
example_title: Suggestive Romance, text: She gasped as he traced kisses down her neck, his hands exploring the curves of her body with growing urgency.
example_title: Explicit Sexual, text: The morning mist drifted across the Yorkshire moors as Elizabeth walked the familiar path to the village.
example_title: Non-Explicit Literary
Likes: 0 | All-time downloads: 80
Created: 2025-08-25 21:45:58