Sentiment_Analysis_French Open-source Model - Free Deployment for French Text Sentiment Classification

Sentiment Analysis French

Developed by ac0hik

A French tweet sentiment classification model fine-tuned based on camembert-base, capable of classifying French text into positive, negative, or neutral

Text Classification

Transformers

Open Source License:MIT #French Sentiment Analysis #Tweet Classification #Multilingual Support

Downloads 276

Release Time : 12/15/2023

Model Overview

This model is a fine-tuned version of camembert-base on the multilingual tweet sentiment analysis dataset (French portion), specifically designed for sentiment analysis tasks in French text

Model Features

French Sentiment Analysis

Sentiment classification capability optimized specifically for French tweets

Based on CamemBERT

Uses an excellent French pre-trained model as the foundation

Multi-classification Capability

Can classify text into three sentiment categories: positive, negative, or neutral

Model Capabilities

French Text Classification

Sentiment Analysis

Tweet Content Understanding

Use Cases

Social Media Analysis

French Tweet Sentiment Monitoring

Analyze user sentiment trends on French social media

Accuracy 76.54%

Market Research

Product Feedback Analysis

Analyze sentiment in French users' evaluations of products or services

🚀 camembert_model

This model is a fine - tuned version of [camembert - base](https://huggingface.co/camembert - base) on the French portion of the tweet_sentiment_multilingual dataset, used for text classification with a certain level of accuracy.

🚀 Quick Start

This camembert_model is a fine - tuned version of [camembert - base](https://huggingface.co/camembert - base) on the tweet_sentiment_multilingual dataset (French portion of it). It achieves the following results on the evaluation set:

Loss: 0.7877
Accuracy: 0.7654

✨ Features

Sentiment Classification: It is a sentiment classifier for the French language, classifying French text into positive, negative, or neutral.

📚 Documentation

Model description

This model serves as a sentiment classifier for the French language. It can classify French text into positive, negative, or neutral categories.

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e - 05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9, 0.999) and epsilon = 1e - 08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	115	0.8510	0.6265
No log	2.0	230	0.7627	0.7130
No log	3.0	345	0.6966	0.7160
No log	4.0	460	0.6862	0.7438
0.7126	5.0	575	0.6637	0.75
0.7126	6.0	690	0.7121	0.7654
0.7126	7.0	805	0.7641	0.7438
0.7126	8.0	920	0.7662	0.7654
0.2932	9.0	1035	0.7765	0.7747
0.2932	10.0	1150	0.7877	0.7654

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

📄 License

This model is released under the MIT license.

📦 Model Information

Property	Details
Model Type	Fine - tuned camembert - base for French sentiment classification
Training Data	tweet_sentiment_multilingual (French portion)
Metrics	Accuracy

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