
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3250490787
- CO2 Emissions (in grams): 0.0106

## Validation Metrics

- Loss: 0.217
- Accuracy: 0.941
- Precision: 0.929
- Recall: 1.000
- AUC: 1.000
- F1: 0.963
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["NehaBardeDUKE/autotrain-data-ai-generated-image-classification"], "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": 0.010621816769634656}}
transformers pytorch swin image-classification autotrain vision dataset:NehaBardeDUKE/autotrain-data-ai-generated-image-classification co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-NehaBardeDUKE/autotrain-data-ai-generated-image-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3250490787
- CO2 Emissions (in grams): 0.0106

## Validation Metrics

- Loss: 0.217
- Accuracy: 0.941
- Precision: 0.929
- Recall: 1.000
- AUC: 1.000
- F1: 0.963
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3250490787
- CO2 Emissions (in grams): 0.0106 ## Validation Metrics

- Loss: 0.217
- Accuracy: 0.941
- Precision: 0.929
- Recall: 1.000
- AUC: 1.000
- F1: 0.963
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-NehaBardeDUKE/autotrain-data-ai-generated-image-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3250490787
- CO2 Emissions (in grams): 0.0106 ## Validation Metrics

- Loss: 0.217
- Accuracy: 0.941
- Precision: 0.929
- Recall: 1.000
- AUC: 1.000
- F1: 0.963
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-NehaBardeDUKE/autotrain-data-ai-generated-image-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3250490787
- CO2 Emissions (in grams): 0.0106## Validation Metrics

- Loss: 0.217
- Accuracy: 0.941
- Precision: 0.929
- Recall: 1.000
- AUC: 1.000
- F1: 0.963