
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 52100122886
- CO2 Emissions (in grams): 2.6171

## Validation Metrics

- Loss: 0.115
- Accuracy: 0.944
- Macro F1: 0.923
- Micro F1: 0.944
- Weighted F1: 0.942
- Macro Precision: 0.938
- Micro Precision: 0.944
- Weighted Precision: 0.947
- Macro Recall: 0.919
- Micro Recall: 0.944
- Weighted Recall: 0.944
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["nicolasvillamilsanchez/autotrain-data-igneus-petrography"], "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": 2.6170542828775685}}
transformers pytorch swin image-classification autotrain vision dataset:nicolasvillamilsanchez/autotrain-data-igneus-petrography co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-nicolasvillamilsanchez/autotrain-data-igneus-petrography #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 52100122886
- CO2 Emissions (in grams): 2.6171

## Validation Metrics

- Loss: 0.115
- Accuracy: 0.944
- Macro F1: 0.923
- Micro F1: 0.944
- Weighted F1: 0.942
- Macro Precision: 0.938
- Micro Precision: 0.944
- Weighted Precision: 0.947
- Macro Recall: 0.919
- Micro Recall: 0.944
- Weighted Recall: 0.944
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 52100122886
- CO2 Emissions (in grams): 2.6171 ## Validation Metrics

- Loss: 0.115
- Accuracy: 0.944
- Macro F1: 0.923
- Micro F1: 0.944
- Weighted F1: 0.942
- Macro Precision: 0.938
- Micro Precision: 0.944
- Weighted Precision: 0.947
- Macro Recall: 0.919
- Micro Recall: 0.944
- Weighted Recall: 0.944
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-nicolasvillamilsanchez/autotrain-data-igneus-petrography #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 52100122886
- CO2 Emissions (in grams): 2.6171 ## Validation Metrics

- Loss: 0.115
- Accuracy: 0.944
- Macro F1: 0.923
- Micro F1: 0.944
- Weighted F1: 0.942
- Macro Precision: 0.938
- Micro Precision: 0.944
- Weighted Precision: 0.947
- Macro Recall: 0.919
- Micro Recall: 0.944
- Weighted Recall: 0.944
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #dataset-nicolasvillamilsanchez/autotrain-data-igneus-petrography #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 52100122886
- CO2 Emissions (in grams): 2.6171## Validation Metrics

- Loss: 0.115
- Accuracy: 0.944
- Macro F1: 0.923
- Micro F1: 0.944
- Weighted F1: 0.942
- Macro Precision: 0.938
- Micro Precision: 0.944
- Weighted Precision: 0.947
- Macro Recall: 0.919
- Micro Recall: 0.944
- Weighted Recall: 0.944