
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3268491180
- CO2 Emissions (in grams): 2.0388

## Validation Metrics

- Loss: 0.044
- Accuracy: 0.970
- Precision: 0.966
- Recall: 0.982
- AUC: 0.998
- F1: 0.974
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["Ailyth/autotrain-data-2labels"], "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": 2.038789255434584}}
transformers pytorch swin image-classification autotrain vision dataset:Ailyth/autotrain-data-2labels co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-Ailyth/autotrain-data-2labels #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3268491180
- CO2 Emissions (in grams): 2.0388

## Validation Metrics

- Loss: 0.044
- Accuracy: 0.970
- Precision: 0.966
- Recall: 0.982
- AUC: 0.998
- F1: 0.974
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3268491180
- CO2 Emissions (in grams): 2.0388 ## Validation Metrics

- Loss: 0.044
- Accuracy: 0.970
- Precision: 0.966
- Recall: 0.982
- AUC: 0.998
- F1: 0.974
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-Ailyth/autotrain-data-2labels #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3268491180
- CO2 Emissions (in grams): 2.0388 ## Validation Metrics

- Loss: 0.044
- Accuracy: 0.970
- Precision: 0.966
- Recall: 0.982
- AUC: 0.998
- F1: 0.974
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-Ailyth/autotrain-data-2labels #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3268491180
- CO2 Emissions (in grams): 2.0388## Validation Metrics

- Loss: 0.044
- Accuracy: 0.970
- Precision: 0.966
- Recall: 0.982
- AUC: 0.998
- F1: 0.974