
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3665397856
- CO2 Emissions (in grams): 0.0048

## Validation Metrics

- Loss: 0.193
- Accuracy: 0.924
- Precision: 0.778
- Recall: 0.875
- AUC: 0.962
- F1: 0.824
{"tags": ["autotrain", "vision", "image-classification"], "metrics": ["accuracy", "precision", "recall", "f1"], "co2_eq_emissions": {"emissions": 0.004813116726195792}}
transformers pytorch swin image-classification autotrain vision co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3665397856
- CO2 Emissions (in grams): 0.0048

## Validation Metrics

- Loss: 0.193
- Accuracy: 0.924
- Precision: 0.778
- Recall: 0.875
- AUC: 0.962
- F1: 0.824
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3665397856
- CO2 Emissions (in grams): 0.0048 ## Validation Metrics

- Loss: 0.193
- Accuracy: 0.924
- Precision: 0.778
- Recall: 0.875
- AUC: 0.962
- F1: 0.824
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3665397856
- CO2 Emissions (in grams): 0.0048 ## Validation Metrics

- Loss: 0.193
- Accuracy: 0.924
- Precision: 0.778
- Recall: 0.875
- AUC: 0.962
- F1: 0.824
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3665397856
- CO2 Emissions (in grams): 0.0048## Validation Metrics

- Loss: 0.193
- Accuracy: 0.924
- Precision: 0.778
- Recall: 0.875
- AUC: 0.962
- F1: 0.824