
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42327108538
- CO2 Emissions (in grams): 0.5195

## Validation Metrics

- Loss: 0.073
- Accuracy: 0.950
- Precision: 0.979
- Recall: 0.920
- AUC: 0.999
- F1: 0.948
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["wendys-llc/autotrain-data-amber-mines"], "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": 0.5194842286637519}}
transformers pytorch beit image-classification autotrain vision dataset:wendys-llc/autotrain-data-amber-mines co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-wendys-llc/autotrain-data-amber-mines #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42327108538
- CO2 Emissions (in grams): 0.5195

## Validation Metrics

- Loss: 0.073
- Accuracy: 0.950
- Precision: 0.979
- Recall: 0.920
- AUC: 0.999
- F1: 0.948
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42327108538
- CO2 Emissions (in grams): 0.5195 ## Validation Metrics

- Loss: 0.073
- Accuracy: 0.950
- Precision: 0.979
- Recall: 0.920
- AUC: 0.999
- F1: 0.948
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-wendys-llc/autotrain-data-amber-mines #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42327108538
- CO2 Emissions (in grams): 0.5195 ## Validation Metrics

- Loss: 0.073
- Accuracy: 0.950
- Precision: 0.979
- Recall: 0.920
- AUC: 0.999
- F1: 0.948
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-wendys-llc/autotrain-data-amber-mines #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42327108538
- CO2 Emissions (in grams): 0.5195## Validation Metrics

- Loss: 0.073
- Accuracy: 0.950
- Precision: 0.979
- Recall: 0.920
- AUC: 0.999
- F1: 0.948