
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42305108508
- CO2 Emissions (in grams): 0.3428

## Validation Metrics

- Loss: 0.078
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["amiune/autotrain-data-pokemonclassification"], "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": 0.342784723518607}}
transformers pytorch swin image-classification autotrain vision dataset:amiune/autotrain-data-pokemonclassification co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-amiune/autotrain-data-pokemonclassification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42305108508
- CO2 Emissions (in grams): 0.3428

## Validation Metrics

- Loss: 0.078
- 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: 42305108508
- CO2 Emissions (in grams): 0.3428 ## Validation Metrics

- Loss: 0.078
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-amiune/autotrain-data-pokemonclassification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42305108508
- CO2 Emissions (in grams): 0.3428 ## Validation Metrics

- Loss: 0.078
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-amiune/autotrain-data-pokemonclassification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 42305108508
- CO2 Emissions (in grams): 0.3428## Validation Metrics

- Loss: 0.078
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000