
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54382127388
- CO2 Emissions (in grams): 0.7559

## Validation Metrics

- Loss: 0.378
- Accuracy: 0.846
- Precision: 1.000
- Recall: 0.500
- AUC: 0.917
- F1: 0.667
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["nandodeomkar/autotrain-data-fracture-detection-using-google-vit-base-patch-16"], "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": 0.7558780597193974}}
transformers pytorch vit image-classification autotrain vision dataset:nandodeomkar/autotrain-data-fracture-detection-using-google-vit-base-patch-16 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-nandodeomkar/autotrain-data-fracture-detection-using-google-vit-base-patch-16 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54382127388
- CO2 Emissions (in grams): 0.7559

## Validation Metrics

- Loss: 0.378
- Accuracy: 0.846
- Precision: 1.000
- Recall: 0.500
- AUC: 0.917
- F1: 0.667
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54382127388
- CO2 Emissions (in grams): 0.7559 ## Validation Metrics

- Loss: 0.378
- Accuracy: 0.846
- Precision: 1.000
- Recall: 0.500
- AUC: 0.917
- F1: 0.667
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-nandodeomkar/autotrain-data-fracture-detection-using-google-vit-base-patch-16 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54382127388
- CO2 Emissions (in grams): 0.7559 ## Validation Metrics

- Loss: 0.378
- Accuracy: 0.846
- Precision: 1.000
- Recall: 0.500
- AUC: 0.917
- F1: 0.667