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---
tags:
- autotrain
- vision
- image-classification
datasets:
- sasha/autotrain-data-butterfly_similarity_swin
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: 28.296015693616066
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2490776951
- CO2 Emissions (in grams): 28.2960
## Validation Metrics
- Loss: 1.385
- Accuracy: 0.689
- Macro F1: 0.488
- Micro F1: 0.689
- Weighted F1: 0.641
- Macro Precision: 0.483
- Micro Precision: 0.689
- Weighted Precision: 0.628
- Macro Recall: 0.528
- Micro Recall: 0.689
- Weighted Recall: 0.689 |