
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1395053127
- CO2 Emissions (in grams): 0.0097

## Validation Metrics

- Loss: 0.178
- Accuracy: 0.941
- Precision: 0.947
- Recall: 0.947
- AUC: 0.974
- F1: 0.947
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["dhruv0808/autotrain-data-ad_detection_ver_1"], "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": 0.009652698067986935}}
transformers pytorch autotrain vision image-classification dataset:dhruv0808/autotrain-data-ad_detection_ver_1 co2_eq_emissions endpoints_compatible region:us
TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-dhruv0808/autotrain-data-ad_detection_ver_1 #co2_eq_emissions #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1395053127
- CO2 Emissions (in grams): 0.0097

## Validation Metrics

- Loss: 0.178
- Accuracy: 0.941
- Precision: 0.947
- Recall: 0.947
- AUC: 0.974
- F1: 0.947
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1395053127
- CO2 Emissions (in grams): 0.0097 ## Validation Metrics

- Loss: 0.178
- Accuracy: 0.941
- Precision: 0.947
- Recall: 0.947
- AUC: 0.974
- F1: 0.947
TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-dhruv0808/autotrain-data-ad_detection_ver_1 #co2_eq_emissions #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1395053127
- CO2 Emissions (in grams): 0.0097 ## Validation Metrics

- Loss: 0.178
- Accuracy: 0.941
- Precision: 0.947
- Recall: 0.947
- AUC: 0.974
- F1: 0.947
passage: TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-dhruv0808/autotrain-data-ad_detection_ver_1 #co2_eq_emissions #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1395053127
- CO2 Emissions (in grams): 0.0097## Validation Metrics

- Loss: 0.178
- Accuracy: 0.941
- Precision: 0.947
- Recall: 0.947
- AUC: 0.974
- F1: 0.947