metadata
language: en
license: creativeml-openrail-m
library_name: transformers
tags:
- emotion-classification
- multilabel
- affective-computing
- semantic-affect
- poetic-ai
- BERT
- huggingface
- rosa
- goemotions
datasets:
- go_emotions
metrics:
- f1
- loss
model_name: Rosa-V1
model_type: bert
pipeline_tag: text-classification
inference: true
base_model: bert-base-uncased
model_description: >
ROSA (Recursive Ontology of Semantic Affect) is a poetic, fine-tuned
BERT-based model
trained on the GoEmotions dataset for multilabel emotion classification.
It classifies text into 28 nuanced emotions plus a neutral category.
Designed by Willinton Triana Cardona, it embodies a graceful fusion of
semantic structure,
affective sensitivity, and symbolic embedding.
Eval F1: ~0.5793
Eval Loss: ~0.0845
Epochs: 3
Batch Size: 16 (train), 32 (eval)
🌹 This is the Rosa of Barcelona— my first blossom of poetic logic and
emotional resonance in AI.
author:
name: Willinton Triana Cardona
role: creator
description: Philosopher · AI Researcher · Poetic Architect of Emotion-Aware Systems