Skintelligent Acne

🚀 Acne Severity Detection Model

This model is designed to assess acne severity levels, ranging from clear skin to very severe acne, providing valuable insights in the field of image - classification.

🚀 Quick Start

To utilize the model checkpoint, follow these steps:

1. Download this repository.
2. Ensure the required dependencies are installed (pip install -r requirements.txt).

✨ Features

• The model can accurately assess acne severity levels, covering a wide range from clear skin to very severe acne.
• It comes with a well - structured checkpoint that contains all necessary files for model configuration, training, and preprocessing.

📦 Installation

1. Download this repository.
2. Install the required dependencies by running the command pip install -r requirements.txt.

📚 Documentation

Model Details

The checkpoint includes the following files:

• config.json: Model configuration settings.
• model.safetensors: Serialized model parameters and architecture.
• optimizer.pt: Optimizer state capturing the current model optimization.
• preprocessor_config.json: Configuration file for the preprocessor.
• rng_state.pth: Random number generator state for reproducibility.
• scheduler.pt: Scheduler state for controlling learning rate schedules.
• trainer_state.json: Trainer state with information about the training process.
• training_args.bin: Binary file storing training arguments.

Severity Levels

• Level -1: Clear Skin
• Level 0: Occasional Spots
• Level 1: Mild Acne
• Level 2: Moderate Acne
• Level 3: Severe Acne
• Level 4: Very Severe Acne

📄 License

This Acne Severity Detection model checkpoint is licensed under the MIT License. Please review and adhere to the license when using or modifying the code.

⚠️ Important Note

• The model card provides insight into the model's purpose, capabilities, and usage instructions.
• Ensure all necessary files are present in the checkpoint directory for proper functionality.