
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3741499454
- CO2 Emissions (in grams): 0.0175

## Validation Metrics

- Loss: 0.002
- 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
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["chaphoto/autotrain-data-test3"], "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": 0.017487895477851116}}
transformers pytorch vit image-classification autotrain vision dataset:chaphoto/autotrain-data-test3 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-chaphoto/autotrain-data-test3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3741499454
- CO2 Emissions (in grams): 0.0175

## Validation Metrics

- Loss: 0.002
- 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
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3741499454
- CO2 Emissions (in grams): 0.0175 ## Validation Metrics

- Loss: 0.002
- 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
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-chaphoto/autotrain-data-test3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3741499454
- CO2 Emissions (in grams): 0.0175 ## Validation Metrics

- Loss: 0.002
- 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