---
tags:
- autotrain
- vision
- image-classification
datasets:
- lewtun/dog_food
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
library_name: transformers
co2_eq_emissions:
  emissions: 6.799888815236616
eval_info:
  col_mapping: test
train-eval-index:
- config: lewtun--dog_food
  task: image-classification
  task_id: image_multi_class_classification
  splits:
    eval_split: test
  col_mapping:
    image: image
    label: target
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1647758504
- CO2 Emissions (in grams): 6.7999

## Validation Metrics

- Loss: 0.001
- 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