Commit Inicial JustinIA V2.0
Browse files
README.md
CHANGED
|
@@ -7,4 +7,45 @@ library_name: transformers
|
|
| 7 |
pipeline_tag: text-classification
|
| 8 |
tags:
|
| 9 |
- legal
|
| 10 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
pipeline_tag: text-classification
|
| 8 |
tags:
|
| 9 |
- legal
|
| 10 |
+
---
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
JustinIA V1.0 2023
|
| 14 |
+
|
| 15 |
+
## Model Details
|
| 16 |
+
|
| 17 |
+
Modelo Base: roBERTa
|
| 18 |
+
Dataset: Propietario del TRIJAEM
|
| 19 |
+
Publicado: 31 de marzo del 2023
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
Modelo de Inteligencia Artificial para la tarea de clasificación de textos juridicos en español.
|
| 24 |
+
Clasificación de acuerdo al tema de una sentencia en materia de justicia administrativa
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** Salazar Flores Carlos Francisco
|
| 29 |
+
- **Shared by [optional]:** Salazar Flores Carlos Francisco]
|
| 30 |
+
- **Model type:** Transformers
|
| 31 |
+
- **Language(s) (NLP):** Español Méxicano
|
| 32 |
+
- **License:**
|
| 33 |
+
- **Finetuned from model :** BSC-TeMU/roberta-base-bne
|
| 34 |
+
|
| 35 |
+
### Model Sources
|
| 36 |
+
|
| 37 |
+
- **Repository:** BSC-TeMU/roberta-base-bne
|
| 38 |
+
|
| 39 |
+
## Training Details
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
#### Metrics
|
| 43 |
+
|
| 44 |
+
Precisión
|
| 45 |
+
|
| 46 |
+
### Results
|
| 47 |
+
|
| 48 |
+
5 ciclos de entrenamiento, con una precisión máxima de 28.86%
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
|