TRACER_B7 Model

Introduction

TRACER_B7 is a machine learning model utilizing the EfficientNet v1 b7 encoder. It includes a pretrained version and a version fine-tuned on the CarveSet dataset, achieving an average F-Beta score of 96.2% on the test set.

Architecture

The model leverages the EfficientNet v1 b7 architecture, known for its scalability and efficiency in processing large datasets. This architecture optimizes both accuracy and computational efficiency.

Training

• Pretrained Model: tracer-b7.pth - This is the base model trained with the EfficientNet v1 b7 encoder.
• Finetuned Model: tracer-b7-carveset-finetuned.pth - This version has been fine-tuned using the CarveSet dataset, resulting in enhanced performance metrics.

Guide: Running Locally

1. Clone Repository: Clone the TRACER_B7 repository from Hugging Face.
2. Install Dependencies: Ensure all necessary libraries and dependencies are installed.
3. Download Model: Obtain the desired model version (tracer-b7.pth or tracer-b7-carveset-finetuned.pth).
4. Run Model: Execute the model using your preferred machine learning framework.
5. Consider Cloud GPUs: For optimal performance, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure.

License

The TRACER_B7 model is licensed under the Apache License 2.0.