Image Classification
Transformers
PyTorch
vit
Trained with AutoTrain
vision
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---
tags:
- autotrain
- vision
- image-classification
datasets:
- ppicazo/autotrain-data-astrophotography-object-classifier-alpha3
widget:
- src: https://astronomy.sfo3.digitaloceanspaces.com/datasets/leo_triplet_19hrs_preview.png
  example_title: Leo Triplet
- src: https://astronomy.sfo3.digitaloceanspaces.com/datasets/Cone_Preview.png
  example_title: Cone Nebula
- src: https://astronomy.sfo3.digitaloceanspaces.com/datasets/HeartPreview.png
  example_title: Heart Nebula
co2_eq_emissions:
  emissions: 1.9111577522230074
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 39543103134
- CO2 Emissions (in grams): 1.9112

## Validation Metrics

- Loss: 0.011
- 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