README.md

---
license: mit
datasets:
- louiecerv/cats_dogs_dataset
language:
- en
pipeline_tag: image-classification
---

# Model Card for Cats vs Dogs Classifier

## Model Description
This model is a Convolutional Neural Network (CNN) designed to classify images of cats and dogs. It was trained on the "louiecerv/cats_dogs_dataset" dataset.

## Intended Use
The model is intended for educational purposes and as a demonstration of image classification using CNNs. It can be used to classify images of cats and dogs.

## Training Data
The model was trained on the "louiecerv/cats_dogs_dataset" dataset, which contains images of cats and dogs.

## Training Procedure
The model was trained using the following procedure:
- Optimizer: Adam
- Learning Rate: 0.001
- Loss Function: CrossEntropyLoss
- Number of Epochs: 10
- Batch Size: 32

## Evaluation
The model was evaluated on the training dataset. Further evaluation on a separate validation or test dataset is recommended.

## Limitations
The model may not perform well on images that are significantly different from the training data. It is also limited to binary classification (cats vs. dogs).

## License
The model is licensed under the MIT License.