Hugging Face model: willt-dc/Rosa-V1
Author: willt-dc
Created: 2025-07-04 10:18:51
Last modified: 2025-07-31 06:18:39
Pipeline: text-classification
Library: transformers
Likes: 1 | Downloads: 71
Tags: transformers, safetensors, gguf, bert, text-classification, emotion-classification, multilabel, goemotions, affective-computing, psychology, NLP, embeddings, symbolic-ai, poetic-ai, quantized, en, dataset:go_emotions, base_model:google-bert/bert-base-uncased, base_model:quantized:google-bert/bert-base-uncased, doi:10.57967/hf/5928, license:creativeml-openrail-m, endpoints_compatible, region:us, feature-extraction
Base model relation: quantized
Base models: id: google-bert/bert-base-uncased
Card metadata:
language: en
license: creativeml-openrail-m
quantized_by: Willinton Triana Cardona
quantized_models: name: Rosa-V1-fp16
path: quantized/Rosa-V1-fp16.gguf
format: GGUF
description: Full-precision baseline, name: Rosa-V1-q8_0
path: quantized/Rosa-V1-q8_0.gguf
format: GGUF
description: Near-lossless 8-bit quantization, name: Rosa-V1-q6_k
path: quantized/Rosa-V1-q6_k.gguf
format: GGUF
description: Balanced 6-bit quantization for portability
tags: emotion-classification, multilabel, bert, goemotions, affective-computing, psychology, NLP, embeddings, symbolic-ai, poetic-ai, quantized, gguf
library_name: transformers
datasets: go_emotions
model_name: Rosa-V1
model_type: bert
pipeline_tag: text-classification
base_model: bert-base-uncased
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.