
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3668397922
- CO2 Emissions (in grams): 0.5711

## Validation Metrics

- Loss: 0.022
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["CharlemagneDeer/autotrain-data-selenophake"], "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": 0.5710813789332319}}
transformers pytorch vit image-classification autotrain vision dataset:CharlemagneDeer/autotrain-data-selenophake co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-CharlemagneDeer/autotrain-data-selenophake #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3668397922
- CO2 Emissions (in grams): 0.5711

## Validation Metrics

- Loss: 0.022
- 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: 3668397922
- CO2 Emissions (in grams): 0.5711 ## Validation Metrics

- Loss: 0.022
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-CharlemagneDeer/autotrain-data-selenophake #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3668397922
- CO2 Emissions (in grams): 0.5711 ## Validation Metrics

- Loss: 0.022
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-CharlemagneDeer/autotrain-data-selenophake #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3668397922
- CO2 Emissions (in grams): 0.5711## Validation Metrics

- Loss: 0.022
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000