
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 47959117029
- CO2 Emissions (in grams): 6.0228

## Validation Metrics

- Loss: 0.530
- Accuracy: 0.796
- Macro F1: 0.797
- Micro F1: 0.796
- Weighted F1: 0.796
- Macro Precision: 0.797
- Micro Precision: 0.796
- Weighted Precision: 0.796
- Macro Recall: 0.798
- Micro Recall: 0.796
- Weighted Recall: 0.796
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["cledoux42/autotrain-data-ethnicity-test_v003"], "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": 6.022813032092885}}
transformers pytorch vit image-classification autotrain vision dataset:cledoux42/autotrain-data-ethnicity-test_v003 co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-cledoux42/autotrain-data-ethnicity-test_v003 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 47959117029
- CO2 Emissions (in grams): 6.0228

## Validation Metrics

- Loss: 0.530
- Accuracy: 0.796
- Macro F1: 0.797
- Micro F1: 0.796
- Weighted F1: 0.796
- Macro Precision: 0.797
- Micro Precision: 0.796
- Weighted Precision: 0.796
- Macro Recall: 0.798
- Micro Recall: 0.796
- Weighted Recall: 0.796
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 47959117029
- CO2 Emissions (in grams): 6.0228 ## Validation Metrics

- Loss: 0.530
- Accuracy: 0.796
- Macro F1: 0.797
- Micro F1: 0.796
- Weighted F1: 0.796
- Macro Precision: 0.797
- Micro Precision: 0.796
- Weighted Precision: 0.796
- Macro Recall: 0.798
- Micro Recall: 0.796
- Weighted Recall: 0.796
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-cledoux42/autotrain-data-ethnicity-test_v003 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 47959117029
- CO2 Emissions (in grams): 6.0228 ## Validation Metrics

- Loss: 0.530
- Accuracy: 0.796
- Macro F1: 0.797
- Micro F1: 0.796
- Weighted F1: 0.796
- Macro Precision: 0.797
- Micro Precision: 0.796
- Weighted Precision: 0.796
- Macro Recall: 0.798
- Micro Recall: 0.796
- Weighted Recall: 0.796
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-cledoux42/autotrain-data-ethnicity-test_v003 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 47959117029
- CO2 Emissions (in grams): 6.0228## Validation Metrics

- Loss: 0.530
- Accuracy: 0.796
- Macro F1: 0.797
- Micro F1: 0.796
- Weighted F1: 0.796
- Macro Precision: 0.797
- Micro Precision: 0.796
- Weighted Precision: 0.796
- Macro Recall: 0.798
- Micro Recall: 0.796
- Weighted Recall: 0.796