
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 49749119793
- CO2 Emissions (in grams): 0.0090

## Validation Metrics

- Loss: 0.760
- Accuracy: 0.825
- Macro F1: 0.735
- Micro F1: 0.825
- Weighted F1: 0.808
- Macro Precision: 0.777
- Micro Precision: 0.825
- Weighted Precision: 0.809
- Macro Recall: 0.719
- Micro Recall: 0.825
- Weighted Recall: 0.825
{"tags": ["vision", "image-classification"], "widget": [{"src": "https://raw.githubusercontent.com/ashokgit/AI-Resources/main/document.jpg", "example_title": "Invalid"}], "co2_eq_emissions": {"emissions": 0.008981790828175018}}
transformers pytorch swin image-classification vision co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #swin #image-classification #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 49749119793
- CO2 Emissions (in grams): 0.0090

## Validation Metrics

- Loss: 0.760
- Accuracy: 0.825
- Macro F1: 0.735
- Micro F1: 0.825
- Weighted F1: 0.808
- Macro Precision: 0.777
- Micro Precision: 0.825
- Weighted Precision: 0.809
- Macro Recall: 0.719
- Micro Recall: 0.825
- Weighted Recall: 0.825
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 49749119793
- CO2 Emissions (in grams): 0.0090 ## Validation Metrics

- Loss: 0.760
- Accuracy: 0.825
- Macro F1: 0.735
- Micro F1: 0.825
- Weighted F1: 0.808
- Macro Precision: 0.777
- Micro Precision: 0.825
- Weighted Precision: 0.809
- Macro Recall: 0.719
- Micro Recall: 0.825
- Weighted Recall: 0.825
TAGS
#transformers #pytorch #swin #image-classification #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 49749119793
- CO2 Emissions (in grams): 0.0090 ## Validation Metrics

- Loss: 0.760
- Accuracy: 0.825
- Macro F1: 0.735
- Micro F1: 0.825
- Weighted F1: 0.808
- Macro Precision: 0.777
- Micro Precision: 0.825
- Weighted Precision: 0.809
- Macro Recall: 0.719
- Micro Recall: 0.825
- Weighted Recall: 0.825
TAGS
#transformers #pytorch #swin #image-classification #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 49749119793
- CO2 Emissions (in grams): 0.0090## Validation Metrics

- Loss: 0.760
- Accuracy: 0.825
- Macro F1: 0.735
- Micro F1: 0.825
- Weighted F1: 0.808
- Macro Precision: 0.777
- Micro Precision: 0.825
- Weighted Precision: 0.809
- Macro Recall: 0.719
- Micro Recall: 0.825
- Weighted Recall: 0.825