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Albert Base V2 Mnli
A
Albert Base V2 Mnli
Developed by Alireza1044
A text classification model fine-tuned on the GLUE MNLI dataset based on ALBERT-base-v2, designed for natural language inference tasks
Downloads 18
Release Time : 3/2/2022
Model Overview
This model is specifically designed for natural language inference tasks, capable of determining the relationship between two sentences (entailment, contradiction, or neutral). It achieved an accuracy of 85.01% on the GLUE MNLI evaluation set.
Model Features
High Accuracy
Achieved 85.01% accuracy on the GLUE MNLI evaluation set
Based on ALBERT Architecture
Uses the efficient ALBERT-base-v2 model as the base, with high parameter efficiency
Natural Language Inference
Specifically designed to determine the logical relationship between two sentences (entailment, contradiction, or neutral)
Model Capabilities
Text Classification
Natural Language Inference
Sentence Relationship Analysis
Use Cases
Natural Language Processing
Text Entailment Judgment
Determine whether one sentence entails the meaning of another sentence
85.01% accuracy
QA System Validation
Verify whether the system-generated answer is logically consistent with the question
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