---
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
---