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model_card.yaml

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----
-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