distilroberta-base-finetuned-wikitext2 Open Source Model - Free Deployment, Effortlessly Perform Text Generation!

Distilroberta Base Finetuned Wikitext2

Developed by Roy029

This model is a fine-tuned version of distilroberta-base on the wikitext2 dataset, primarily designed for text generation tasks.

Large Language Model

Transformers

Open Source License:Apache-2.0 #Text Generation Optimization #Lightweight RoBERTa #WikiText Fine-tuning

Downloads 26

Release Time : 3/2/2022

Model Overview

This is a distilled model based on RoBERTa, fine-tuned on the wikitext2 dataset, suitable for text generation and related natural language processing tasks.

Model Features

Efficient Distilled Model

A distilled version of RoBERTa that reduces model size and computational requirements while maintaining performance.

Wikitext2 Fine-tuning

Fine-tuned on the wikitext2 dataset, enhancing text generation capabilities.

Lightweight

Fewer parameters compared to the original RoBERTa model, resulting in faster inference speed.

Model Capabilities

Text Generation

Language Modeling

Text Completion

Use Cases

Text Generation

Automatic Text Completion

Generates coherent subsequent content based on input text.

Content Creation Assistance

Helps authors generate creative text or draft content.

Education

Language Learning Tool

Generates language learning materials and exercises.

Training Loss	Epoch	Step	Validation Loss
No log	1.0	58	2.2650
No log	2.0	116	2.2408
No log	3.0	174	2.1696

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Distilroberta Base Finetuned Wikitext2

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 distilroberta-base-finetuned-wikitext2

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

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