
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3544295625
- CO2 Emissions (in grams): 2.8298

## Validation Metrics

- Loss: 0.159
- Accuracy: 0.940
- Precision: 0.923
- Recall: 0.960
- AUC: 0.988
- F1: 0.941
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["ashutoshmondal/autotrain-data-wilderv2"], "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": 2.829794634796424}}
transformers pytorch vit image-classification autotrain vision dataset:ashutoshmondal/autotrain-data-wilderv2 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-ashutoshmondal/autotrain-data-wilderv2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3544295625
- CO2 Emissions (in grams): 2.8298

## Validation Metrics

- Loss: 0.159
- Accuracy: 0.940
- Precision: 0.923
- Recall: 0.960
- AUC: 0.988
- F1: 0.941
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3544295625
- CO2 Emissions (in grams): 2.8298 ## Validation Metrics

- Loss: 0.159
- Accuracy: 0.940
- Precision: 0.923
- Recall: 0.960
- AUC: 0.988
- F1: 0.941
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-ashutoshmondal/autotrain-data-wilderv2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3544295625
- CO2 Emissions (in grams): 2.8298 ## Validation Metrics

- Loss: 0.159
- Accuracy: 0.940
- Precision: 0.923
- Recall: 0.960
- AUC: 0.988
- F1: 0.941
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-ashutoshmondal/autotrain-data-wilderv2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3544295625
- CO2 Emissions (in grams): 2.8298## Validation Metrics

- Loss: 0.159
- Accuracy: 0.940
- Precision: 0.923
- Recall: 0.960
- AUC: 0.988
- F1: 0.941