---
tags:
- autotrain
- vision
- image-classification
datasets:
- SebasV/autotrain-data-tableros_factibilidad
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: 0.7280371574302341
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 44246111623
- CO2 Emissions (in grams): 0.7280

## Validation Metrics

- Loss: 0.962
- Accuracy: 0.400
- Macro F1: 0.375
- Micro F1: 0.400
- Weighted F1: 0.300
- Macro Precision: 0.333
- Micro Precision: 0.400
- Weighted Precision: 0.267
- Macro Recall: 0.500
- Micro Recall: 0.400
- Weighted Recall: 0.400