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Minilm L12 H384 Uncased Finetuned Imdb
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Minilm L12 H384 Uncased Finetuned Imdb

Developed by lewtun
This model is a fine-tuned version of Microsoft's MiniLM-L12-H384-uncased on the IMDB dataset, primarily used for sentiment analysis tasks.
Large Language Model
Transformers
Open Source License:MIT#IMDB Sentiment Analysis#Small Language Model#Movie Review Classification
Downloads 18
Release Time : 3/2/2022

Model Overview

This model is a pre-trained language model based on the MiniLM architecture, fine-tuned on the IMDB dataset, suitable for text classification and sentiment analysis tasks.

Model Features

Efficient Fine-tuning
Based on the MiniLM architecture, efficiently fine-tuned on the IMDB dataset, suitable for text classification tasks.
Lightweight Model
Compared to large language models, this model has fewer parameters, making it suitable for resource-limited environments.
Sentiment Analysis Optimization
Specifically optimized for the IMDB movie review dataset, ideal for sentiment analysis tasks.

Model Capabilities

Text Classification
Sentiment Analysis
Masked Language Modeling

Use Cases

Sentiment Analysis
Movie Review Sentiment Analysis
Analyze the sentiment tendency (positive/negative) of IMDB movie reviews.
Achieved a loss value of 3.9328 on the evaluation set.
Text Classification
Text Classification Task
Can be used for other similar text classification tasks.
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