
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093038
- CO2 Emissions (in grams): 3.5031

## Validation Metrics

- Loss: 0.179
- Accuracy: 0.966
- Macro F1: 0.959
- Micro F1: 0.966
- Weighted F1: 0.966
- Macro Precision: 0.969
- Micro Precision: 0.966
- Weighted Precision: 0.969
- Macro Recall: 0.954
- Micro Recall: 0.966
- Weighted Recall: 0.966
{"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": 3.5030531186190697}}
transformers pytorch swin image-classification autotrain vision dataset:JoffreyMa/autotrain-data-histopathological_image_classification co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #swin #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: 3393093038
- CO2 Emissions (in grams): 3.5031

## Validation Metrics

- Loss: 0.179
- Accuracy: 0.966
- Macro F1: 0.959
- Micro F1: 0.966
- Weighted F1: 0.966
- Macro Precision: 0.969
- Micro Precision: 0.966
- Weighted Precision: 0.969
- Macro Recall: 0.954
- Micro Recall: 0.966
- Weighted Recall: 0.966
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3393093038
- CO2 Emissions (in grams): 3.5031 ## Validation Metrics

- Loss: 0.179
- Accuracy: 0.966
- Macro F1: 0.959
- Micro F1: 0.966
- Weighted F1: 0.966
- Macro Precision: 0.969
- Micro Precision: 0.966
- Weighted Precision: 0.969
- Macro Recall: 0.954
- Micro Recall: 0.966
- Weighted Recall: 0.966
TAGS
#transformers #pytorch #swin #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: 3393093038
- CO2 Emissions (in grams): 3.5031 ## Validation Metrics

- Loss: 0.179
- Accuracy: 0.966
- Macro F1: 0.959
- Micro F1: 0.966
- Weighted F1: 0.966
- Macro Precision: 0.969
- Micro Precision: 0.966
- Weighted Precision: 0.969
- Macro Recall: 0.954
- Micro Recall: 0.966
- Weighted Recall: 0.966
TAGS
#transformers #pytorch #swin #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: 3393093038
- CO2 Emissions (in grams): 3.5031## Validation Metrics

- Loss: 0.179
- Accuracy: 0.966
- Macro F1: 0.959
- Micro F1: 0.966
- Weighted F1: 0.966
- Macro Precision: 0.969
- Micro Precision: 0.966
- Weighted Precision: 0.969
- Macro Recall: 0.954
- Micro Recall: 0.966
- Weighted Recall: 0.966