distilbert-base-uncased-finetuned-mi Open Source Model - Free Support for Various Text-related Task Processing

Distilbert Base Uncased Finetuned Mi

Developed by yancong

This model is a fine-tuned version of distilbert-base-uncased on an unspecified dataset, primarily used for text-related tasks.

Large Language Model

Transformers

Open Source License:Apache-2.0 #Lightweight BERT #English text processing #Transfer learning optimization

Downloads 26

Release Time : 3/2/2022

Model Overview

This is a fine-tuned DistilBERT model with unspecified specific applications, potentially suitable for natural language processing tasks such as text classification and question answering.

Model Features

Lightweight BERT

Based on the DistilBERT architecture, smaller and faster than standard BERT while retaining most of its performance.

Fine-tuned version

Fine-tuned on a specific dataset, potentially optimized for particular tasks.

English support

Specifically designed for processing English text (uncased).

Model Capabilities

Text understanding

Text classification

Feature extraction

Use Cases

Natural Language Processing

Text classification

Can be used for tasks such as sentiment analysis and topic classification.

Question answering system

Potentially suitable for simple question answering tasks.

Training Loss	Epoch	Step	Validation Loss
3.1069	1.0	97	2.3524
2.1677	2.0	194	1.9426
1.9197	3.0	291	2.0536

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Distilbert Base Uncased Finetuned Mi

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 distilbert-base-uncased-finetuned-mi

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