--- 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.