
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3726099222
- CO2 Emissions (in grams): 0.0850

## Validation Metrics

- Loss: 0.314
- Accuracy: 0.909
- Macro F1: 0.904
- Micro F1: 0.909
- Weighted F1: 0.904
- Macro Precision: 0.926
- Micro Precision: 0.909
- Weighted Precision: 0.926
- Macro Recall: 0.909
- Micro Recall: 0.909
- Weighted Recall: 0.909
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["rwcuffney/autotrain-data-pick_a_card"], "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": 0.08500926102855322}}
transformers pytorch vit image-classification autotrain vision dataset:rwcuffney/autotrain-data-pick_a_card co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-rwcuffney/autotrain-data-pick_a_card #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3726099222
- CO2 Emissions (in grams): 0.0850

## Validation Metrics

- Loss: 0.314
- Accuracy: 0.909
- Macro F1: 0.904
- Micro F1: 0.909
- Weighted F1: 0.904
- Macro Precision: 0.926
- Micro Precision: 0.909
- Weighted Precision: 0.926
- Macro Recall: 0.909
- Micro Recall: 0.909
- Weighted Recall: 0.909
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3726099222
- CO2 Emissions (in grams): 0.0850 ## Validation Metrics

- Loss: 0.314
- Accuracy: 0.909
- Macro F1: 0.904
- Micro F1: 0.909
- Weighted F1: 0.904
- Macro Precision: 0.926
- Micro Precision: 0.909
- Weighted Precision: 0.926
- Macro Recall: 0.909
- Micro Recall: 0.909
- Weighted Recall: 0.909
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-rwcuffney/autotrain-data-pick_a_card #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3726099222
- CO2 Emissions (in grams): 0.0850 ## Validation Metrics

- Loss: 0.314
- Accuracy: 0.909
- Macro F1: 0.904
- Micro F1: 0.909
- Weighted F1: 0.904
- Macro Precision: 0.926
- Micro Precision: 0.909
- Weighted Precision: 0.926
- Macro Recall: 0.909
- Micro Recall: 0.909
- Weighted Recall: 0.909
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-rwcuffney/autotrain-data-pick_a_card #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3726099222
- CO2 Emissions (in grams): 0.0850## Validation Metrics

- Loss: 0.314
- Accuracy: 0.909
- Macro F1: 0.904
- Micro F1: 0.909
- Weighted F1: 0.904
- Macro Precision: 0.926
- Micro Precision: 0.909
- Weighted Precision: 0.926
- Macro Recall: 0.909
- Micro Recall: 0.909
- Weighted Recall: 0.909