
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 37846100283
- CO2 Emissions (in grams): 1.5959

## Validation Metrics

- Loss: 0.001
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["hg2001/autotrain-data-animals-vs-humans2"], "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": 1.5958667599075285}}
transformers pytorch beit image-classification autotrain vision dataset:hg2001/autotrain-data-animals-vs-humans2 co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-hg2001/autotrain-data-animals-vs-humans2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 37846100283
- CO2 Emissions (in grams): 1.5959

## Validation Metrics

- Loss: 0.001
- 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: 37846100283
- CO2 Emissions (in grams): 1.5959 ## Validation Metrics

- Loss: 0.001
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-hg2001/autotrain-data-animals-vs-humans2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 37846100283
- CO2 Emissions (in grams): 1.5959 ## Validation Metrics

- Loss: 0.001
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-hg2001/autotrain-data-animals-vs-humans2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 37846100283
- CO2 Emissions (in grams): 1.5959## Validation Metrics

- Loss: 0.001
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000