
## Validation Metrics

- Loss: 0.772
- Accuracy: 0.792
- Macro F1: 0.754
- Micro F1: 0.792
- Weighted F1: 0.747
- Macro Precision: 0.744
- Micro Precision: 0.792
- Weighted Precision: 0.743
- Macro Recall: 0.808
- Micro Recall: 0.792
- Weighted Recall: 0.792
{"tags": ["tree", "vision", "image-classification"], "metrics": ["accuracy"], "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": 0.8942374660281194}}
transformers pytorch swin image-classification tree vision co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #swin #image-classification #tree #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


## Validation Metrics

- Loss: 0.772
- Accuracy: 0.792
- Macro F1: 0.754
- Micro F1: 0.792
- Weighted F1: 0.747
- Macro Precision: 0.744
- Micro Precision: 0.792
- Weighted Precision: 0.743
- Macro Recall: 0.808
- Micro Recall: 0.792
- Weighted Recall: 0.792
## Validation Metrics

- Loss: 0.772
- Accuracy: 0.792
- Macro F1: 0.754
- Micro F1: 0.792
- Weighted F1: 0.747
- Macro Precision: 0.744
- Micro Precision: 0.792
- Weighted Precision: 0.743
- Macro Recall: 0.808
- Micro Recall: 0.792
- Weighted Recall: 0.792
TAGS
#transformers #pytorch #swin #image-classification #tree #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 ## Validation Metrics

- Loss: 0.772
- Accuracy: 0.792
- Macro F1: 0.754
- Micro F1: 0.792
- Weighted F1: 0.747
- Macro Precision: 0.744
- Micro Precision: 0.792
- Weighted Precision: 0.743
- Macro Recall: 0.808
- Micro Recall: 0.792
- Weighted Recall: 0.792
TAGS
#transformers #pytorch #swin #image-classification #tree #vision #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
## Validation Metrics

- Loss: 0.772
- Accuracy: 0.792
- Macro F1: 0.754
- Micro F1: 0.792
- Weighted F1: 0.747
- Macro Precision: 0.744
- Micro Precision: 0.792
- Weighted Precision: 0.743
- Macro Recall: 0.808
- Micro Recall: 0.792
- Weighted Recall: 0.792