
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 41171106189
- CO2 Emissions (in grams): 0.4167

## Validation Metrics

- Loss: 0.368
- Accuracy: 0.818
- Precision: 0.882
- Recall: 0.789
- AUC: 0.921
- F1: 0.833
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["mouss/autotrain-data-bikes_1"], "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": 0.41665410499999395}}
transformers pytorch swin image-classification autotrain vision dataset:mouss/autotrain-data-bikes_1 co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-mouss/autotrain-data-bikes_1 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 41171106189
- CO2 Emissions (in grams): 0.4167

## Validation Metrics

- Loss: 0.368
- Accuracy: 0.818
- Precision: 0.882
- Recall: 0.789
- AUC: 0.921
- F1: 0.833
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 41171106189
- CO2 Emissions (in grams): 0.4167 ## Validation Metrics

- Loss: 0.368
- Accuracy: 0.818
- Precision: 0.882
- Recall: 0.789
- AUC: 0.921
- F1: 0.833
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-mouss/autotrain-data-bikes_1 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 41171106189
- CO2 Emissions (in grams): 0.4167 ## Validation Metrics

- Loss: 0.368
- Accuracy: 0.818
- Precision: 0.882
- Recall: 0.789
- AUC: 0.921
- F1: 0.833
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-mouss/autotrain-data-bikes_1 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 41171106189
- CO2 Emissions (in grams): 0.4167## Validation Metrics

- Loss: 0.368
- Accuracy: 0.818
- Precision: 0.882
- Recall: 0.789
- AUC: 0.921
- F1: 0.833