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Tapt Nbme Deberta V3 Base

Developed by ZZ99
A model fine-tuned based on microsoft/deberta-v3-base, achieving an accuracy of 75.76% on the evaluation set
Downloads 15
Release Time : 4/11/2022

Model Overview

This model is a fine-tuned version based on the DeBERTa-v3-base architecture, primarily used for masked language modeling tasks.

Model Features

High accuracy
Achieved an accuracy of 75.76% on the evaluation set
Based on DeBERTa-v3
Utilizes the advanced DeBERTa-v3-base architecture for fine-tuning
Efficient training
Optimizes training efficiency using mixed-precision training and gradient accumulation techniques

Model Capabilities

Masked language modeling
Text understanding

Use Cases

Natural language processing
Text completion
Can be used to predict masked words or phrases in text
Language understanding
Can be used to enhance the performance of downstream NLP tasks
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