Autonlp-song-lyrics-18753423 Open Source Model - Free Deployment, Precise Handling of Song Lyrics Text Classification

Autonlp Song Lyrics 18753423

Developed by juliensimon

This is a multi-class classification model trained using AutoNLP, specifically designed for song lyrics text classification tasks.

Text Classification

Transformers

English#Lyrics Classification #Multi-class Classification #English Text Processing

Downloads 17

Release Time : 3/2/2022

Model Overview

The model was trained on Hugging Face's AutoNLP platform and can perform multi-class classification on song lyrics, making it suitable for music content analysis and classification applications.

Model Features

Automated Training

Uses the AutoNLP platform for automated training, simplifying the model development process

Multi-class Classification

Capable of handling complex multi-class text classification tasks

Song Lyrics Specialization

A classification model specifically optimized for song lyrics content

Model Capabilities

Text Classification

Multi-class Prediction

Lyrics Content Analysis

Use Cases

Music Content Management

Lyrics Classification

Automatically classify song lyrics to facilitate content management on music platforms

Accuracy 65.4%, F1 score 53.3%

Music Recommendation Systems

Lyrics-based Recommendations

Enhance the relevance of music recommendation systems based on lyrics classification results

🚀 Model Trained Using AutoNLP

This model is trained via AutoNLP, solving multi - class classification problems and offering reliable performance.

🚀 Quick Start

This model is designed for multi - class classification. You can access it through different methods as described below.

✨ Features

Multi - class Classification: Capable of handling multi - class classification tasks effectively.
Low CO2 Emissions: With a relatively low CO2 emission of 55.552987716859484 grams during the training process.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/juliensimon/autonlp-song-lyrics-18753423

Advanced Usage

Use the Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("juliensimon/autonlp-song-lyrics-18753423", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("juliensimon/autonlp-song-lyrics-18753423", use_auth_token=True)

inputs = tokenizer("I love AutoNLP", return_tensors="pt")

outputs = model(**inputs)

📚 Documentation

Model Information

Property	Details
Problem Type	Multi - class Classification
Model ID	18753423
CO2 Emissions (in grams)	55.552987716859484

Validation Metrics

Metric	Value
Loss	0.913820743560791
Accuracy	0.654110224531453
Macro F1	0.5327761649415296
Micro F1	0.654110224531453
Weighted F1	0.6339481529454227
Macro Precision	0.6799297267808116
Micro Precision	0.654110224531453
Weighted Precision	0.6533459269990771
Macro Recall	0.49907494605289154
Micro Recall	0.654110224531453
Weighted Recall	0.654110224531453

🔧 Technical Details

No technical details are provided in the original document.

📄 License

No license information is provided in the original document.

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