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xlmr-sentiment-es-en
Ricardouchub/xlmr-sentiment-es-en
xlmr-sentiment-es-en is a machine learning model from Ricardouchub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Clasificador binario (Positive/Negative) para reseñas de películas en inglés y español, fine-tuned desde xlm-roberta-base con Rotten Tomatoes movies and critic reviews dataset from Kaggle
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At a glance
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 21, 2025
- Updated
- Oct 20, 2025
- SHA
- 8b8435d2
Base models
Model card
From the Hugging Face model README
XLM-R Sentiment EN/ES (Movie Reviews)
Clasificador binario (Positive/Negative) para reseñas de películas en inglés y español, fine-tuned desde xlm-roberta-base con Rotten Tomatoes movies and critic reviews dataset from Kaggle
Métricas:
Acc 0.8519 · F1 0.8876 · Prec 0.8646 · Rec 0.9119 · AUC 0.9260
Umbral recomendado:* *0.48
Uso rápido
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
m = "Ricardouchub/xlmr-sentiment-es-en"; thr = 0.48
tok = AutoTokenizer.from_pretrained(m, use_fast=True)
mdl = AutoModelForSequenceClassification.from_pretrained(m).eval()
enc = tok(["Excelente actuación, final predecible."], truncation=True, max_length=224, padding=True, return_tensors="pt")
p = torch.softmax(mdl(**enc).logits, dim=-1)[:,1].item()
print(("POSITIVE" if p>=thr else "NEGATIVE"), round(p*100,1), "%")
Notas: split por película (evita fuga); limpieza mínima de texto. No apto para usos sensibles.
Autor: Ricardo Urdaneta
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- es, en
- Created
- Aug 21, 2025
- Updated
- Oct 20, 2025