Rename model_card.yml to model_card.md

model_card.yml → model_card.md

@@ -1,43 +1,44 @@
----
-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
+---
+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
+---