Bert Ascii Medium
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Bert Ascii Medium
Developed by aajrami
A medium-scale BERT language model pretrained with the unique objective of predicting the sum of ASCII code values for masked tokens.
Downloads 24
Release Time : 11/8/2022
Model Overview
This model is a medium-scale language model based on the BERT architecture, employing a distinctive pretraining objective of predicting the sum of ASCII code values to explore how pretraining objectives affect language attribute learning.
Model Features
ASCII code value prediction objective
Uses the sum of ASCII code values for masked tokens as the pretraining objective, differing from traditional BERT's vocabulary prediction.
Medium-scale architecture
A medium-scale model based on the BERT architecture, balancing performance and computational resource requirements.
Pretraining objective research
Designed specifically to study how pretraining objectives influence language attribute learning.
Model Capabilities
Text representation learning
Language attribute analysis
Pretraining objective research
Use Cases
Natural language processing research
Pretraining objective comparative study
Used to compare the effects of different pretraining objectives on language model learning outcomes
Can evaluate differences between ASCII code prediction objectives and traditional objectives
Language attribute analysis
Used to analyze the model's grasp of specific language attributes
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