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Distilroberta Base 1
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Distilroberta Base 1

Developed by uhlenbeckmew
A fine-tuned version based on the distilroberta-base model, suitable for text-related tasks
Large Language Model
Transformers
Open Source License:Apache-2.0#Lightweight RoBERTa#Text Understanding#Efficient Fine-tuning
Downloads 56
Release Time : 4/10/2022

Model Overview

This model is a fine-tuned version based on distilroberta-base, primarily used for text processing tasks. The specific task types are not explicitly stated, but given the RoBERTa architecture, it may be suitable for natural language processing tasks such as text classification and named entity recognition.

Model Features

Lightweight Model
Based on the DistilRoBERTa architecture, it reduces model size while maintaining performance.
Fine-tuning Optimization
Fine-tuned on specific datasets, potentially improving performance for particular tasks.
Efficient Training
Training process utilizes the Adam optimizer and linear learning rate scheduler.

Model Capabilities

Text Understanding
Text Classification
Named Entity Recognition

Use Cases

Natural Language Processing
Text Classification
Classify text content
Sentiment Analysis
Analyze the sentiment tendency of text
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