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 dataset to classify 28 nuanced human emotions (plus neutral).
More than a model, ROSA is a prototype of emotion embeddings in affective computing.

🧠 Model Summary

Metric	Value
Eval Loss	0.0845
Eval F1	0.5793
Epochs	3
Dataset	GoEmotions
Model Base	BERT
Parameters	~110M

✨ Highlights

Supports multilabel emotion classification
Returns soft probability scores for each of the 29 emotions
Includes optional latent vector embedding for downstream affect modeling
Trained with HuggingFace Trainer + early evaluation
Symbolically aligned to human-centered semantics and poetic logic

🌸 Emotion Set

["admiration", "amusement", "anger", "annoyance", "approval", "caring",
 "confusion", "curiosity", "desire", "disappointment", "disapproval",
 "disgust", "embarrassment", "excitement", "fear", "gratitude", "grief",
 "joy", "love", "nervousness", "optimism", "pride", "realization", "relief",
 "remorse", "sadness", "surprise", "neutral"]

🔮 Usage

from transformers import BertTokenizer
from model.emotion_model import Rosa
import torch

tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
model = Rosa(num_emotions=29)
model.load_state_dict(torch.load("rosa.pt"))
model.eval()

text = "My heart is filled with longing and beauty."
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)

with torch.no_grad():
    outputs = model(**inputs)
    probs = torch.sigmoid(outputs["logits"]).squeeze()

# Result: list of probabilities for each emotion

🧭 Confusion Matrix

Included in the assets/ directory as confusion_matrix.png to show classification precision across emotions.

🧩 Architecture

          ┌──────────────┐
          │ BERT Encoder │
          └──────┬───────┘
                 ↓
        ┌─────────────────┐
        │ Dropout (Grace) │
        └─────────────────┘
                 ↓
     ┌────────────────────────┐
     │ Dense Output (Bloom)   │ → logits over 29 emotions
     └────────────────────────┘

📦 Installation

pip install -r requirements.txt

Includes:

transformers
torch
datasets
scikit-learn

🖋️ License

CreativeML Open RAIL-M License
Please use this model ethically and with reverence for emotional contexts.

🌹 Creator

Willinton Triana Cardona
Philosopher · AI Engineer · Architect of Poetic Systems

ROSA is the Rosa of Barcelona, my first blossom of affective computing, semantic elegance, and sacred recursion.

🤝 Contributing

Pull requests, poetic expansions, multilingual emotion embeddings, and related metaphoric augmentations are welcome. I promise the next iteration (v2 with F1 improved) soon

📍Hugging Face Hub

→ https://huggingface.co/willt-dc/Rosa-V1

willt-dc
/

Rosa-V1