Test3 Open-Source AI Model - A Versatile Tool Based on Fine-Tuning, Free Deployment to Boost Diverse Applications

Test3

Developed by YeRyeongLee

A model fine-tuned based on klue/bert-base, with unspecified specific uses and training data

Large Language Model

Transformers

#Korean BERT fine-tuning #Small batch training #Linear learning rate scheduling

Downloads 15

Release Time : 12/22/2022

Model Overview

This model is a fine-tuned version based on klue/bert-base, but detailed information about application scenarios and training data is not provided

Model Features

Based on BERT architecture

Uses klue/bert-base as the base model, featuring standard characteristics of the BERT architecture

Korean language support

Inferred based on klue/bert-base, this model likely supports Korean language processing

Model Capabilities

Text understanding

Text classification

Language representation

Use Cases

Natural Language Processing

Korean text classification

Potentially suitable for Korean text classification tasks

🚀 test3

This is a fine - tuned model based on klue/bert-base. It offers enhanced performance on specific tasks, leveraging the pre - trained knowledge of the base model.

📦 Installation

There is no specific installation step provided in the original document, so this section is skipped.

🚀 Quick Start

This model is a fine - tuned version of klue/bert-base on the None dataset.

✨ Features

There is no detailed feature description in the original document, so this section is skipped.

📚 Documentation

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e - 05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

There is no specific training result content in the original document, so this part is skipped.

Framework versions

Property	Details
Transformers	4.25.1
Pytorch	1.13.0+cu117
Datasets	2.7.1
Tokenizers	0.13.2

💻 Usage Examples

There is no code example in the original document, so this section is skipped.

🔧 Technical Details

There is no detailed technical implementation content in the original document, so this section is skipped.

📄 License

There is no license information in the original document, so this section is skipped.

Phi 2 GGUF

Other

Phi-2 is a small yet powerful language model developed by Microsoft, featuring 2.7 billion parameters, focusing on efficient inference and high-quality text generation.

Large Language Model Supports Multiple Languages

A large English language model pre-trained with masked language modeling objectives, using improved BERT training methods

Large Language Model English

FacebookAI

19.4M

212

Distilbert Base Uncased

Apache-2.0

DistilBERT is a distilled version of the BERT base model, maintaining similar performance while being more lightweight and efficient, suitable for natural language processing tasks such as sequence classification and token classification.

Large Language Model English

distilbert

11.1M

669

Llama 3.1 8B Instruct GGUF

Meta Llama 3.1 8B Instruct is a multilingual large language model optimized for multilingual dialogue use cases, excelling in common industry benchmarks.

Large Language Model English

XLM-RoBERTa is a multilingual model pretrained on 2.5TB of filtered CommonCrawl data across 100 languages, using masked language modeling as the training objective.

Large Language Model Supports Multiple Languages

An English pre-trained model based on Transformer architecture, trained on massive text through masked language modeling objectives, supporting text feature extraction and downstream task fine-tuning

Large Language Model English

OPT is an open pre-trained Transformer language model suite released by Meta AI, with parameter sizes ranging from 125 million to 175 billion, designed to match the performance of the GPT-3 series while promoting open research in large-scale language models.

Large Language Model English

facebook

6.3M

198

A pretrained model based on the transformers library, suitable for various NLP tasks

Llama 3.1 8B Instruct

Llama 3.1 is Meta's multilingual large language model series, featuring 8B, 70B, and 405B parameter scales, supporting 8 languages and code generation, with optimized multilingual dialogue scenarios.

Large Language Model

Transformers Supports Multiple Languages

The T5 Base Version is a text-to-text Transformer model developed by Google with 220 million parameters, supporting multilingual NLP tasks.

Large Language Model Supports Multiple Languages

google-t5

5.4M

702

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご