
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 40340104916
- CO2 Emissions (in grams): 1.1040

## Validation Metrics

- Loss: 0.068
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["dpogreb/autotrain-data-nyx"], "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": 1.1040305125054486}, "pipeline_tag": "unconditional-image-generation"}
transformers pytorch swin image-classification autotrain vision unconditional-image-generation dataset:dpogreb/autotrain-data-nyx doi:10.57967/hf/0432 co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #unconditional-image-generation #dataset-dpogreb/autotrain-data-nyx #doi-10.57967/hf/0432 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 40340104916
- CO2 Emissions (in grams): 1.1040

## Validation Metrics

- Loss: 0.068
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 40340104916
- CO2 Emissions (in grams): 1.1040 ## Validation Metrics

- Loss: 0.068
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #unconditional-image-generation #dataset-dpogreb/autotrain-data-nyx #doi-10.57967/hf/0432 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 40340104916
- CO2 Emissions (in grams): 1.1040 ## Validation Metrics

- Loss: 0.068
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #unconditional-image-generation #dataset-dpogreb/autotrain-data-nyx #doi-10.57967/hf/0432 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 40340104916
- CO2 Emissions (in grams): 1.1040## Validation Metrics

- Loss: 0.068
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000