
## Validation Metrics

- Loss: 0.416
- Accuracy: 0.880
- Macro F1: 0.851
- Micro F1: 0.880
- Weighted F1: 0.866
- Macro Precision: 0.917
- Micro Precision: 0.880
- Weighted Precision: 0.913
- Macro Recall: 0.857
- Micro Recall: 0.880
- Weighted Recall: 0.880
{"tags": ["vision", "image-classification"], "datasets": ["OttoYu/im-place-data"], "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"}]}
transformers pytorch swin image-classification vision dataset:OttoYu/im-place-data autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #vision #dataset-OttoYu/im-place-data #autotrain_compatible #endpoints_compatible #has_space #region-us 


## Validation Metrics

- Loss: 0.416
- Accuracy: 0.880
- Macro F1: 0.851
- Micro F1: 0.880
- Weighted F1: 0.866
- Macro Precision: 0.917
- Micro Precision: 0.880
- Weighted Precision: 0.913
- Macro Recall: 0.857
- Micro Recall: 0.880
- Weighted Recall: 0.880
## Validation Metrics

- Loss: 0.416
- Accuracy: 0.880
- Macro F1: 0.851
- Micro F1: 0.880
- Weighted F1: 0.866
- Macro Precision: 0.917
- Micro Precision: 0.880
- Weighted Precision: 0.913
- Macro Recall: 0.857
- Micro Recall: 0.880
- Weighted Recall: 0.880
TAGS
#transformers #pytorch #swin #image-classification #vision #dataset-OttoYu/im-place-data #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Validation Metrics

- Loss: 0.416
- Accuracy: 0.880
- Macro F1: 0.851
- Micro F1: 0.880
- Weighted F1: 0.866
- Macro Precision: 0.917
- Micro Precision: 0.880
- Weighted Precision: 0.913
- Macro Recall: 0.857
- Micro Recall: 0.880
- Weighted Recall: 0.880
TAGS
#transformers #pytorch #swin #image-classification #vision #dataset-OttoYu/im-place-data #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Validation Metrics

- Loss: 0.416
- Accuracy: 0.880
- Macro F1: 0.851
- Micro F1: 0.880
- Weighted F1: 0.866
- Macro Precision: 0.917
- Micro Precision: 0.880
- Weighted Precision: 0.913
- Macro Recall: 0.857
- Micro Recall: 0.880
- Weighted Recall: 0.880