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Codebert Javascript

Developed by neulab
A masked language model fine-tuned on JavaScript code based on microsoft/codebert-base-mlm, primarily used for code evaluation
Downloads 19.61k
Release Time : 9/23/2022

Model Overview

This model is a masked language model trained for 1 million steps on JavaScript code from the codeparrot/github-code-clean dataset, mainly applied in the CodeBERTScore code generation evaluation tool

Model Features

JavaScript Code-Specific
Specially optimized and trained for JavaScript code, with enhanced comprehension of JS code
Code Evaluation Optimization
Particularly suitable for evaluating the quality of code generation tasks
Large-Scale Training
Processed 32 samples per batch during 1 million training steps to ensure model performance

Model Capabilities

Code Understanding
Code Quality Evaluation
Masked Language Modeling
JavaScript Code Analysis

Use Cases

Code Quality Evaluation
CodeBERTScore Evaluation Tool
Used to assess the quality of outputs from code generation models
Provides more accurate evaluation metrics for code generation
Code Understanding
JavaScript Code Analysis
Understanding the semantics and structure of JavaScript code
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