
## Validation Metrics

- Loss: 0.031
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
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transformers pytorch swin image-classification autotrain vision en zh dataset:OttoYu/TreeHK40 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #en #zh #dataset-OttoYu/TreeHK40 #autotrain_compatible #endpoints_compatible #has_space #region-us 


## Validation Metrics

- Loss: 0.031
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
## Validation Metrics

- Loss: 0.031
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #en #zh #dataset-OttoYu/TreeHK40 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Validation Metrics

- Loss: 0.031
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
TAGS
#transformers #pytorch #swin #image-classification #autotrain #vision #en #zh #dataset-OttoYu/TreeHK40 #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Validation Metrics

- Loss: 0.031
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000