
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65025136019
- CO2 Emissions (in grams): 0.1012

## Validation Metrics

- Loss: 0.202
- Accuracy: 0.895
- Precision: 0.857
- Recall: 1.000
- AUC: 1.000
- F1: 0.923
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["Hokkaiswimming/autotrain-data-k3"], "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": 0.10121731414520015}}
transformers pytorch safetensors swin image-classification autotrain vision dataset:Hokkaiswimming/autotrain-data-k3 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #swin #image-classification #autotrain #vision #dataset-Hokkaiswimming/autotrain-data-k3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65025136019
- CO2 Emissions (in grams): 0.1012

## Validation Metrics

- Loss: 0.202
- Accuracy: 0.895
- Precision: 0.857
- Recall: 1.000
- AUC: 1.000
- F1: 0.923
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65025136019
- CO2 Emissions (in grams): 0.1012 ## Validation Metrics

- Loss: 0.202
- Accuracy: 0.895
- Precision: 0.857
- Recall: 1.000
- AUC: 1.000
- F1: 0.923
TAGS
#transformers #pytorch #safetensors #swin #image-classification #autotrain #vision #dataset-Hokkaiswimming/autotrain-data-k3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65025136019
- CO2 Emissions (in grams): 0.1012 ## Validation Metrics

- Loss: 0.202
- Accuracy: 0.895
- Precision: 0.857
- Recall: 1.000
- AUC: 1.000
- F1: 0.923