--- tags: - autotrain - vision - image-classification datasets: - chaphoto/autotrain-data-test3 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 co2_eq_emissions: emissions: 6.055784660601666 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 3741499456 - CO2 Emissions (in grams): 6.0558 ## Validation Metrics - Loss: 0.000 - Accuracy: 1.000 - Macro F1: 1.000 - Micro F1: 1.000 - Weighted F1: 1.000 - Macro Precision: 1.000 - Micro Precision: 1.000 - Weighted Precision: 1.000 - Macro Recall: 1.000 - Micro Recall: 1.000 - Weighted Recall: 1.000