Finetune-data-skills Open-source Data Skills Model - Tailored for Specific NLP Tasks

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Finetune Data Skills

Developed by dpasch01

A BERT-based fine-tuned model for data skills, suitable for specific NLP tasks

Large Language Model

Transformers

Open Source License:Apache-2.0 #BERT fine-tuning #Text feature extraction #Low-resource optimization

Downloads 26

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version based on bert-base-uncased, primarily used for natural language processing tasks related to data skills

Model Features

BERT base architecture

Based on the widely-used bert-base-uncased model with excellent language understanding capabilities

Domain-specific fine-tuning

Specially optimized for data skill-related tasks

Lightweight

Compared to large language models, it has a smaller parameter size, making it suitable for resource-limited environments

Model Capabilities

Text classification

Natural language understanding

Text feature extraction

Use Cases

Data skill assessment

Data skill classification

Identify and classify text content related to data skills

Educational technology

Learning content analysis

Analyze data skill-related content in educational materials

Training Loss	Epoch	Step	Validation Loss
2.7239	1.0	3926	2.2459
2.3113	2.0	7852	2.1255
2.197	3.0	11778	2.0966

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Finetune Data Skills

Model Overview

Model Features

Model Capabilities

Use Cases

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