
## Validation Metrics

- Loss: 0.021
- 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": ["vision", "image-classification"], "datasets": ["OttoYu/LeafCondition"], "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": 0.42691072926709345}}
transformers pytorch beit image-classification vision dataset:OttoYu/LeafCondition co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #beit #image-classification #vision #dataset-OttoYu/LeafCondition #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


## Validation Metrics

- Loss: 0.021
- 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: 0.021
- 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 #beit #image-classification #vision #dataset-OttoYu/LeafCondition #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Validation Metrics

- Loss: 0.021
- 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 #beit #image-classification #vision #dataset-OttoYu/LeafCondition #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Validation Metrics

- Loss: 0.021
- 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