
# Model Trained Using AutoTrain

- Problem type: Image Classification
- CO2 Emissions (in grams): 0.0000

## Validation Metricsg
loss: 0.9600464105606079

f1_macro: 0.5260821309655938

f1_micro: 0.675

f1_weighted: 0.5832408435072142

precision_macro: 0.5353535353535354

precision_micro: 0.675

precision_weighted: 0.553030303030303

recall_macro: 0.5666666666666667

recall_micro: 0.675

recall_weighted: 0.675

accuracy: 0.675

{"tags": ["autotrain", "image-classification"], "datasets": ["SriPrasanna/autotrain-data-8v13-xs57-x55z"], "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}}
transformers pytorch swin image-classification autotrain dataset:SriPrasanna/autotrain-data-8v13-xs57-x55z co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #dataset-SriPrasanna/autotrain-data-8v13-xs57-x55z #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Image Classification
- CO2 Emissions (in grams): 0.0000

## Validation Metricsg
loss: 0.9600464105606079

f1_macro: 0.5260821309655938

f1_micro: 0.675

f1_weighted: 0.5832408435072142

precision_macro: 0.5353535353535354

precision_micro: 0.675

precision_weighted: 0.553030303030303

recall_macro: 0.5666666666666667

recall_micro: 0.675

recall_weighted: 0.675

accuracy: 0.675

# Model Trained Using AutoTrain

- Problem type: Image Classification
- CO2 Emissions (in grams): 0.0000 ## Validation Metricsg
loss: 0.9600464105606079

f1_macro: 0.5260821309655938

f1_micro: 0.675

f1_weighted: 0.5832408435072142

precision_macro: 0.5353535353535354

precision_micro: 0.675

precision_weighted: 0.553030303030303

recall_macro: 0.5666666666666667

recall_micro: 0.675

recall_weighted: 0.675

accuracy: 0.675
TAGS
#transformers #pytorch #swin #image-classification #autotrain #dataset-SriPrasanna/autotrain-data-8v13-xs57-x55z #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Image Classification
- CO2 Emissions (in grams): 0.0000 ## Validation Metricsg
loss: 0.9600464105606079

f1_macro: 0.5260821309655938

f1_micro: 0.675

f1_weighted: 0.5832408435072142

precision_macro: 0.5353535353535354

precision_micro: 0.675

precision_weighted: 0.553030303030303

recall_macro: 0.5666666666666667

recall_micro: 0.675

recall_weighted: 0.675

accuracy: 0.675