bert-base-dutch-cased-finetuned-gv: An Open-Source Dutch BERT Model

Bert Base Dutch Cased Finetuned Gv

Developed by Pyjay

A Dutch BERT model fine-tuned on an unknown dataset based on the GroNLP/bert-base-dutch-cased model, specialized for masked language modeling tasks.

Large Language Model

Transformers

#Dutch Masked Language Modeling #BERT Fine-tuned Model #Low-resource Optimization

Downloads 19

Release Time : 3/2/2022

Model Overview

This model is a Dutch-optimized BERT variant, fine-tuned specifically for Masked Language Modeling tasks, suitable for applications requiring Dutch text understanding or generation.

Model Features

Dutch Language Optimization

Fine-tuned from a Dutch pre-trained model, offering better understanding of Dutch text.

Efficient Fine-tuning

Achieved low validation loss (1.7837) within 3 training epochs, demonstrating good training efficiency.

Standardized Processing

Uses cased tokenizer (preserving letter cases), suitable for case-sensitive applications.

Model Capabilities

Dutch Text Understanding

Masked Word Prediction

Contextual Semantic Analysis

Use Cases

Text Processing

Automatic Text Completion

Predicting missing words in Dutch text editing tools

Grammar Checking

Identifying anomalous words or grammatical structures in Dutch text

Training Loss	Epoch	Step	Validation Loss
1.4741	1.0	2603	1.8404
1.2384	2.0	5206	1.8457
1.2121	3.0	7809	1.7837

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Bert Base Dutch Cased Finetuned Gv

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 bert-base-dutch-cased-finetuned-gv

🚀 Quick Start

📚 Documentation

Training and Evaluation

Training hyperparameters

Training results

Framework versions