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Jobbert De

Developed by agne
A domain-adaptive language model optimized for German job advertisements, continuously pre-trained based on bert-base-german-cased
Downloads 96
Release Time : 6/3/2022

Model Overview

This is a domain-adaptive language model based on the Transformer architecture, optimized for German job advertisements. Built upon bert-base-german-cased, it was refined through continuous domain-specific pre-training on 4 million Swiss German job advertisements from 1990 to 2020.

Model Features

Domain Adaptation Optimization
Specifically optimized for German job advertisements, incorporating high-frequency domain-specific terms, subwords, and abbreviations
Large-scale Training Data
Trained on 4 million Swiss German job advertisements (5.9GB data) from 1990 to 2020
Based on Established Model
Built upon bert-base-german-cased to ensure foundational language understanding capabilities

Model Capabilities

German Text Understanding
Job Advertisement Text Processing
Masked Language Modeling

Use Cases

Job Advertisement Analysis
Job Requirement Analysis
Analyze job requirements and skill demands in advertisements
Job Market Trend Monitoring
Monitor industry trends and changes in job advertisements
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