--- tags: - autotrain - image-classification base_model: google/mobilenet_v2_1.0_224 widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_title: Teapot - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg example_title: Palace --- # Model Trained Using AutoTrain - Problem type: Image Classification ## Validation Metrics loss: 1.2197859287261963 f1_macro: 0.5238095238095238 f1_micro: 0.6 f1_weighted: 0.5904761904761905 precision_macro: 0.6 precision_micro: 0.6 precision_weighted: 0.6799999999999999 recall_macro: 0.5625 recall_micro: 0.6 recall_weighted: 0.6 accuracy: 0.6