
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093039
- CO2 Emissions (in grams): 3.9275

## Validation Metrics

- Loss: 0.243
- Accuracy: 0.910
- Macro F1: 0.928
- Micro F1: 0.910
- Weighted F1: 0.910
- Macro Precision: 0.929
- Micro Precision: 0.910
- Weighted Precision: 0.914
- Macro Recall: 0.929
- Micro Recall: 0.910
- Weighted Recall: 0.910
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["JoffreyMa/autotrain-data-histopathological_image_classification"], "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": 3.9274736718723755}}
transformers pytorch beit image-classification autotrain vision dataset:JoffreyMa/autotrain-data-histopathological_image_classification co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-JoffreyMa/autotrain-data-histopathological_image_classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093039
- CO2 Emissions (in grams): 3.9275

## Validation Metrics

- Loss: 0.243
- Accuracy: 0.910
- Macro F1: 0.928
- Micro F1: 0.910
- Weighted F1: 0.910
- Macro Precision: 0.929
- Micro Precision: 0.910
- Weighted Precision: 0.914
- Macro Recall: 0.929
- Micro Recall: 0.910
- Weighted Recall: 0.910
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093039
- CO2 Emissions (in grams): 3.9275 ## Validation Metrics

- Loss: 0.243
- Accuracy: 0.910
- Macro F1: 0.928
- Micro F1: 0.910
- Weighted F1: 0.910
- Macro Precision: 0.929
- Micro Precision: 0.910
- Weighted Precision: 0.914
- Macro Recall: 0.929
- Micro Recall: 0.910
- Weighted Recall: 0.910
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-JoffreyMa/autotrain-data-histopathological_image_classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093039
- CO2 Emissions (in grams): 3.9275 ## Validation Metrics

- Loss: 0.243
- Accuracy: 0.910
- Macro F1: 0.928
- Micro F1: 0.910
- Weighted F1: 0.910
- Macro Precision: 0.929
- Micro Precision: 0.910
- Weighted Precision: 0.914
- Macro Recall: 0.929
- Micro Recall: 0.910
- Weighted Recall: 0.910
TAGS
#transformers #pytorch #beit #image-classification #autotrain #vision #dataset-JoffreyMa/autotrain-data-histopathological_image_classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093039
- CO2 Emissions (in grams): 3.9275## Validation Metrics

- Loss: 0.243
- Accuracy: 0.910
- Macro F1: 0.928
- Micro F1: 0.910
- Weighted F1: 0.910
- Macro Precision: 0.929
- Micro Precision: 0.910
- Weighted Precision: 0.914
- Macro Recall: 0.929
- Micro Recall: 0.910
- Weighted Recall: 0.910