AIbase
EN
Home
Minilm Finetuned Emotion Nm
M

Minilm Finetuned Emotion Nm

Developed by nickmuchi
This model is a fine-tuned version of Microsoft MiniLM-L12-H384-uncased on a sentiment analysis dataset, primarily used for text sentiment classification tasks.
Text Classification
Transformers
Open Source License:MIT#Sentiment Analysis#High F1 Score#Text Classification
Downloads 15
Release Time : 3/2/2022

Model Overview

A sentiment analysis model fine-tuned on the MiniLM architecture, achieving an F1 score of 0.9323 on the evaluation set.

Model Features

Efficient Fine-tuning
Fine-tuned on the lightweight MiniLM architecture, maintaining high performance while reducing computational resource requirements.
Excellent Performance
Achieves an F1 score of 0.9323 on sentiment analysis tasks.
Fast Inference
The 12-layer Transformer structure provides faster inference speeds compared to larger models.

Model Capabilities

Text Classification
Sentiment Analysis
English Text Processing

Use Cases

Social Media Analysis
User Comment Sentiment Analysis
Analyze the sentiment tendencies of user comments on social media.
Accurately identifies positive/negative sentiments.
Customer Service
Customer Feedback Classification
Automatically classify the sentiment tendencies of customer feedback.
Helps quickly identify dissatisfied customers.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase