Modelo de Lenguaje para el español de México

Este modelo basado en Roberta se entrenó usando más de 140 millones de tweets de México en español. A cada mensaje se le agruegó una etiqueta de información regionalizada como sigue:

estado _GEO mensaje

Algunos ejemplos son:

Coahuila _GEO Cómo estás amiga, nos conocemos? Soy soltero busco soltera. #PiedrasNegras #nava #allende #zaragoza
Tamaulipas _GEO Ando de buenas que ya les devolví sus unfollows y métanselos por el culo ☺.
BCS _GEO Ésa canción que cantas en silencio y la otra persona tmb. Bn raro.
Tamaulipas _GEO Hoy es la primera vez que manejo en estado de ebriedad 😞🙃

Como se puede observar, se mantuvieron mayúsculas y minúsculas, emoticones y palabras mal escritas. Por motivos de privacidad, se cambiaron las mensciones de usuario por el token _USR y las direcciones de internet por _URL.

Detalles

Los tokens que idican el estado de la república son:

Estado	Token
Aguascalientes	Aguascalientes
Baja California	BC
Baja California Sur	BCS
Campeche	Campeche
Chiapas	Chiapas
Chihuahua	Chihuahua
Ciudad de México	Mexico_City
Coahuila de Zaragoza	Coahuila
Colima	Colima
Durango	Durango
Guanajuato	Guanajuato
Guerrero	Guerrero
Hidalgo	Hidalgo
Jalisco	Jalisco
Michoacán de Ocampo	Michoacán
Morelos	Morelos
México	Mexico
Nayarit	Nayarit
Nuevo León	NL
Oaxaca	Oaxaca
Puebla	Puebla
Querétaro	Querétaro
Quintana Roo	QR
San Luis Potosí	SLP
Sinaloa	Sinaloa
Sonora	Sonora
Tabasco	Tabasco
Tamaulipas	Tamaulipas
Tlaxcala	Tlaxcala
Veracruz de Ignacio de la Llave	Veracruz
Yucatán	Yucatán
Zacatecas	Zacatecas

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Developed by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: [More Information Needed]
Hours used: [More Information Needed]
Cloud Provider: [More Information Needed]
Compute Region: [More Information Needed]
Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]