
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 50559120777
- CO2 Emissions (in grams): 0.8787

## Validation Metrics

- Loss: 0.033
- Accuracy: 0.992
- Macro F1: 0.641
- Micro F1: 0.992
- Weighted F1: 0.989
- Macro Precision: 0.619
- Micro Precision: 0.992
- Weighted Precision: 0.986
- Macro Recall: 0.667
- Micro Recall: 0.992
- Weighted Recall: 0.992
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["andrewgray11/autotrain-data-solar-panel-object-detection"], "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": 0.8786506717520287}}
transformers pytorch vit image-classification autotrain vision dataset:andrewgray11/autotrain-data-solar-panel-object-detection co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-andrewgray11/autotrain-data-solar-panel-object-detection #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 50559120777
- CO2 Emissions (in grams): 0.8787

## Validation Metrics

- Loss: 0.033
- Accuracy: 0.992
- Macro F1: 0.641
- Micro F1: 0.992
- Weighted F1: 0.989
- Macro Precision: 0.619
- Micro Precision: 0.992
- Weighted Precision: 0.986
- Macro Recall: 0.667
- Micro Recall: 0.992
- Weighted Recall: 0.992
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 50559120777
- CO2 Emissions (in grams): 0.8787 ## Validation Metrics

- Loss: 0.033
- Accuracy: 0.992
- Macro F1: 0.641
- Micro F1: 0.992
- Weighted F1: 0.989
- Macro Precision: 0.619
- Micro Precision: 0.992
- Weighted Precision: 0.986
- Macro Recall: 0.667
- Micro Recall: 0.992
- Weighted Recall: 0.992
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-andrewgray11/autotrain-data-solar-panel-object-detection #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 50559120777
- CO2 Emissions (in grams): 0.8787 ## Validation Metrics

- Loss: 0.033
- Accuracy: 0.992
- Macro F1: 0.641
- Micro F1: 0.992
- Weighted F1: 0.989
- Macro Precision: 0.619
- Micro Precision: 0.992
- Weighted Precision: 0.986
- Macro Recall: 0.667
- Micro Recall: 0.992
- Weighted Recall: 0.992
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-andrewgray11/autotrain-data-solar-panel-object-detection #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 50559120777
- CO2 Emissions (in grams): 0.8787## Validation Metrics

- Loss: 0.033
- Accuracy: 0.992
- Macro F1: 0.641
- Micro F1: 0.992
- Weighted F1: 0.989
- Macro Precision: 0.619
- Micro Precision: 0.992
- Weighted Precision: 0.986
- Macro Recall: 0.667
- Micro Recall: 0.992
- Weighted Recall: 0.992