
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1417653460
- CO2 Emissions (in grams): 2.2028

## Validation Metrics

- Loss: 0.023
- Accuracy: 0.994
- Precision: 0.995
- Recall: 0.995
- AUC: 1.000
- F1: 0.995
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["victor/autotrain-data-donut-vs-croissant"], "widget": [{"src": "https://huggingface.co/datasets/victor/autotrain-data-donut-vs-croissant/resolve/main/raw/image_folders/valid/valid/croissant/croissant10.jpg", "example_title": "Croissant"}, {"src": "https://huggingface.co/datasets/victor/autotrain-data-donut-vs-croissant/resolve/main/raw/image_folders/valid/valid/donut/donut-106.jpg", "example_title": "Donut"}], "co2_eq_emissions": {"emissions": 2.2028215716577684}}
transformers pytorch autotrain vision image-classification dataset:victor/autotrain-data-donut-vs-croissant co2_eq_emissions endpoints_compatible region:us
TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-victor/autotrain-data-donut-vs-croissant #co2_eq_emissions #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1417653460
- CO2 Emissions (in grams): 2.2028

## Validation Metrics

- Loss: 0.023
- Accuracy: 0.994
- Precision: 0.995
- Recall: 0.995
- AUC: 1.000
- F1: 0.995
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1417653460
- CO2 Emissions (in grams): 2.2028 ## Validation Metrics

- Loss: 0.023
- Accuracy: 0.994
- Precision: 0.995
- Recall: 0.995
- AUC: 1.000
- F1: 0.995
TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-victor/autotrain-data-donut-vs-croissant #co2_eq_emissions #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1417653460
- CO2 Emissions (in grams): 2.2028 ## Validation Metrics

- Loss: 0.023
- Accuracy: 0.994
- Precision: 0.995
- Recall: 0.995
- AUC: 1.000
- F1: 0.995
passage: TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-victor/autotrain-data-donut-vs-croissant #co2_eq_emissions #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1417653460
- CO2 Emissions (in grams): 2.2028## Validation Metrics

- Loss: 0.023
- Accuracy: 0.994
- Precision: 0.995
- Recall: 0.995
- AUC: 1.000
- F1: 0.995