
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 49296119123
- CO2 Emissions (in grams): 0.3929

## Validation Metrics

- Loss: 0.107
- Accuracy: 0.980
- Precision: 0.962
- Recall: 1.000
- AUC: 0.995
- F1: 0.980
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["rafferty/autotrain-data-amber-mine-tutorial"], "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": 0.392912325396069}}
transformers pytorch beit image-classification autotrain vision dataset:rafferty/autotrain-data-amber-mine-tutorial co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-rafferty/autotrain-data-amber-mine-tutorial #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 49296119123
- CO2 Emissions (in grams): 0.3929

## Validation Metrics

- Loss: 0.107
- Accuracy: 0.980
- Precision: 0.962
- Recall: 1.000
- AUC: 0.995
- F1: 0.980
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 49296119123
- CO2 Emissions (in grams): 0.3929 ## Validation Metrics

- Loss: 0.107
- Accuracy: 0.980
- Precision: 0.962
- Recall: 1.000
- AUC: 0.995
- F1: 0.980
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-rafferty/autotrain-data-amber-mine-tutorial #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 49296119123
- CO2 Emissions (in grams): 0.3929 ## Validation Metrics

- Loss: 0.107
- Accuracy: 0.980
- Precision: 0.962
- Recall: 1.000
- AUC: 0.995
- F1: 0.980
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-rafferty/autotrain-data-amber-mine-tutorial #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 49296119123
- CO2 Emissions (in grams): 0.3929## Validation Metrics

- Loss: 0.107
- Accuracy: 0.980
- Precision: 0.962
- Recall: 1.000
- AUC: 0.995
- F1: 0.980