
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3416193421
- CO2 Emissions (in grams): 1.6972

## Validation Metrics

- Loss: 0.213
- Accuracy: 0.904
- Precision: 0.714
- Recall: 0.875
- AUC: 0.948
- F1: 0.787
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["davanstrien/autotrain-data-ia_covers"], "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": 1.69724123660189}}
transformers pytorch safetensors vit image-classification autotrain vision dataset:davanstrien/autotrain-data-ia_covers co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #vit #image-classification #autotrain #vision #dataset-davanstrien/autotrain-data-ia_covers #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3416193421
- CO2 Emissions (in grams): 1.6972

## Validation Metrics

- Loss: 0.213
- Accuracy: 0.904
- Precision: 0.714
- Recall: 0.875
- AUC: 0.948
- F1: 0.787
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3416193421
- CO2 Emissions (in grams): 1.6972 ## Validation Metrics

- Loss: 0.213
- Accuracy: 0.904
- Precision: 0.714
- Recall: 0.875
- AUC: 0.948
- F1: 0.787
TAGS
#transformers #pytorch #safetensors #vit #image-classification #autotrain #vision #dataset-davanstrien/autotrain-data-ia_covers #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3416193421
- CO2 Emissions (in grams): 1.6972 ## Validation Metrics

- Loss: 0.213
- Accuracy: 0.904
- Precision: 0.714
- Recall: 0.875
- AUC: 0.948
- F1: 0.787
TAGS
#transformers #pytorch #safetensors #vit #image-classification #autotrain #vision #dataset-davanstrien/autotrain-data-ia_covers #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3416193421
- CO2 Emissions (in grams): 1.6972## Validation Metrics

- Loss: 0.213
- Accuracy: 0.904
- Precision: 0.714
- Recall: 0.875
- AUC: 0.948
- F1: 0.787