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---
tags:
- autotrain
- vision
- image-classification
datasets:
- juanArevalo/autotrain-data-classificacion
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: 0.7664598785084752
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 51168121452
- CO2 Emissions (in grams): 0.7665
## Validation Metrics
- Loss: 0.248
- Accuracy: 0.920
- Macro F1: 0.920
- Micro F1: 0.920
- Weighted F1: 0.920
- Macro Precision: 0.921
- Micro Precision: 0.920
- Weighted Precision: 0.921
- Macro Recall: 0.920
- Micro Recall: 0.920
- Weighted Recall: 0.920 |