
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093036
- CO2 Emissions (in grams): 4.8204

## Validation Metrics

- Loss: 0.186
- Accuracy: 0.933
- Macro F1: 0.933
- Micro F1: 0.933
- Weighted F1: 0.932
- Macro Precision: 0.929
- Micro Precision: 0.933
- Weighted Precision: 0.934
- Macro Recall: 0.941
- Micro Recall: 0.933
- Weighted Recall: 0.933
{"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": 4.820448255825163}}
transformers pytorch vit image-classification autotrain vision dataset:JoffreyMa/autotrain-data-histopathological_image_classification co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #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: 3393093036
- CO2 Emissions (in grams): 4.8204

## Validation Metrics

- Loss: 0.186
- Accuracy: 0.933
- Macro F1: 0.933
- Micro F1: 0.933
- Weighted F1: 0.932
- Macro Precision: 0.929
- Micro Precision: 0.933
- Weighted Precision: 0.934
- Macro Recall: 0.941
- Micro Recall: 0.933
- Weighted Recall: 0.933
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093036
- CO2 Emissions (in grams): 4.8204 ## Validation Metrics

- Loss: 0.186
- Accuracy: 0.933
- Macro F1: 0.933
- Micro F1: 0.933
- Weighted F1: 0.932
- Macro Precision: 0.929
- Micro Precision: 0.933
- Weighted Precision: 0.934
- Macro Recall: 0.941
- Micro Recall: 0.933
- Weighted Recall: 0.933
TAGS
#transformers #pytorch #vit #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: 3393093036
- CO2 Emissions (in grams): 4.8204 ## Validation Metrics

- Loss: 0.186
- Accuracy: 0.933
- Macro F1: 0.933
- Micro F1: 0.933
- Weighted F1: 0.932
- Macro Precision: 0.929
- Micro Precision: 0.933
- Weighted Precision: 0.934
- Macro Recall: 0.941
- Micro Recall: 0.933
- Weighted Recall: 0.933
TAGS
#transformers #pytorch #vit #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: 3393093036
- CO2 Emissions (in grams): 4.8204## Validation Metrics

- Loss: 0.186
- Accuracy: 0.933
- Macro F1: 0.933
- Micro F1: 0.933
- Weighted F1: 0.932
- Macro Precision: 0.929
- Micro Precision: 0.933
- Weighted Precision: 0.934
- Macro Recall: 0.941
- Micro Recall: 0.933
- Weighted Recall: 0.933