Update README.md

README.md

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+---
+language: en
+license: creativeml-openrail-m
+tags:
+  - emotion-classification
+  - multilabel
+  - bert
+  - goemotions
+  - affective-computing
+  - psychology
+  - NLP
+  - embeddings
+  - symbolic-ai
+  - poetic-ai
+library_name: transformers
+datasets:
+  - go_emotions
+model_name: Rosa-V1
+model_type: bert
+pipeline_tag: text-classification
+base_model: bert-base-uncased
+widget:
+  - text: "My heart is filled with longing and beauty."
+  - text: "I'm excited but nervous about what's coming next."
+metrics:
+  - name: eval_loss
+    type: loss
+    value: 0.0845
+  - name: eval_f1
+    type: f1
+    value: 0.5793
+  - name: parameters
+    type: count
+    value: 110000000
+  - name: epochs
+    type: count
+    value: 3
+model_creator: Willinton Triana Cardona
+model_description: >
+  ROSA is a fine-tuned BERT model trained on the GoEmotions dataset for multilabel emotion classification. 
+  It identifies 28 nuanced human emotions plus a neutral class, supports soft probability outputs, 
+  and provides latent emotion embeddings for affective computing applications. 
+  ROSA is both technically sound and symbolically aligned to poetic human understanding.
+---
 
 # ROSA :: Emotional Sensitivity
 
 “To feel is to know; to know is to bloom.”
+·Willinton 
 
 ROSA is a fine-tuned Transformer model based on `bert-base-uncased`, trained on the [GoEmotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) dataset to classify 28 nuanced human emotions (plus neutral).  
 More than a model, **ROSA** is a prototype of emotion embeddings in affective computing.