bert-large-japanese-wikipedia-ud-head-finetuned-inquiry Open-source Model - Empowering Japanese Knowledge Query and Analysis

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Bert Large Japanese Wikipedia Ud Head Finetuned Inquiry

Developed by anhcanvasasia

BERT-large model pre-trained on Japanese Wikipedia data, fine-tuned for UD head parsing tasks

Large Language Model

Transformers

#Japanese Q&A System #Wikipedia Fine-tuning #Dependency Parsing Enhancement

Downloads 33

Release Time : 12/1/2022

Model Overview

This model is a fine-tuned version of bert-large-japanese-wikipedia-ud-head for unknown datasets, primarily used for Japanese text processing tasks

Model Features

Japanese-specific Model

BERT model optimized specifically for Japanese text

UD Head Parsing Fine-tuning

Fine-tuned on Universal Dependencies (UD) head parsing tasks

Large-scale Pre-training

Pre-trained on Japanese Wikipedia data

Model Capabilities

Japanese Text Understanding

Q&A System

Text Classification

Dependency Relation Analysis

Use Cases

Business Consultation

Customer Inquiry Processing

Automatically process Japanese customer inquiry emails

Content Analysis

Japanese Text Parsing

Analyze grammatical structure and semantic relationships in Japanese text

Training Loss	Epoch	Step	Validation Loss
No log	1.0	50	1.9136
No log	2.0	100	1.9691
No log	3.0	150	1.9130

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Bert Large Japanese Wikipedia Ud Head Finetuned Inquiry

Model Overview

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🚀 bert-large-japanese-wikipedia-ud-head-finetuned-squad

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