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Roberta Base Bne Finetuned Hate Speech Offensive Spanish
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Roberta Base Bne Finetuned Hate Speech Offensive Spanish

Developed by JonatanGk
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the MNLI dataset, primarily used for natural language inference tasks.
Text Classification
Transformers
Open Source License:Apache-2.0#Spanish NLI#High Accuracy#Textual Inference
Downloads 240
Release Time : 3/2/2022

Model Overview

This is a pre-trained model based on the RoBERTa architecture, fine-tuned for Multi-Genre Natural Language Inference (MNLI) tasks, capable of determining the logical relationship (entailment, contradiction, or neutral) between two sentences.

Model Features

High Accuracy
Achieves 90.12% accuracy on the evaluation set
Based on RoBERTa Architecture
Utilizes the powerful RoBERTa-base architecture with excellent language understanding capabilities
Spanish Language Optimization
Pre-trained on Spanish corpus (bne), suitable for Spanish NLP tasks

Model Capabilities

Natural Language Inference
Text Classification
Semantic Relation Judgment

Use Cases

Text Analysis
Logical Relation Judgment
Determine whether the relationship between two sentences is entailment, contradiction, or neutral
90.12% accuracy
Educational Technology
Reading Comprehension Assistance
Help students understand logical relationships between texts
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