add model

README.md

@@ -1,13 +1,75 @@
----
-title: Effnetb2 Sentiment Analysis
-emoji: 👁
-colorFrom: indigo
-colorTo: gray
-sdk: gradio
-sdk_version: 4.42.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# EfficientNet B2 Image Classification
+
+This project implements an image classification model using the EfficientNet B2 architecture, fine-tuned on a custom dataset. It provides a modular and easy-to-use structure for training and evaluating the model.
+
+## Project Structure
+
+```
+project_root/
+│
+├── data/
+│   ├── train/
+│   └── test/
+│
+├── src/
+│   ├── __init__.py
+│   ├── data_setup.py
+│   ├── train_and_test.py
+│   ├── model.py
+│
+├── main.py
+├── requirements.txt
+└── README.md
+```
+
+- `data/`: Contains the training and testing datasets.
+- `src/`: Source code for the project.
+- `main.py`: The entry point of the project.
+
+## Setup
+
+1. Clone the repository:
+
+   ```
+   git clone https://github.com/brepositorium/effnetb2-sentiment-analysis.git
+   cd effnetb2-sentiment-analysis
+   ```
+
+2. Create a virtual environment and activate it:
+
+   ```
+   python -m venv venv
+   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
+   ```
+
+3. Install the required packages:
+   ```
+   pip install -r requirements.txt
+   ```
+
+## Usage
+
+To train the model, run:
+
+```
+python main.py
+```
+
+This will start the training process using the EfficientNet B2 model on your dataset. The script will output training progress and final results.
+
+## Customization
+
+- Edit `src/model.py` to experiment with different model architectures or layer configurations.
+- Adjust data augmentation in `src/data_setup.py` if needed.
+
+## Results
+
+After training, the model will output training and validation accuracy and loss. You can find these results printed in the console output.
+
+## Contributing
+
+Feel free to open issues or submit pull requests if you have suggestions for improvements or encounter any problems.
+
+## License
+
+MIT License