
# Model Trained Using AutoTrain

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

## Validation Metrics
loss: 0.14338010549545288

f1_macro: 0.940526140757593

f1_micro: 0.94

f1_weighted: 0.9398044781162052

precision_macro: 0.940964983321917

precision_micro: 0.94

precision_weighted: 0.9410628287317604

recall_macro: 0.9414679313146717

recall_micro: 0.94

recall_weighted: 0.94

accuracy: 0.94

{"tags": ["autotrain", "image-classification"], "datasets": ["abhishek/autotrain-data-imgadvtest3"], "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:abhishek/autotrain-data-imgadvtest3 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #swin #image-classification #autotrain #dataset-abhishek/autotrain-data-imgadvtest3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

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

## Validation Metrics
loss: 0.14338010549545288

f1_macro: 0.940526140757593

f1_micro: 0.94

f1_weighted: 0.9398044781162052

precision_macro: 0.940964983321917

precision_micro: 0.94

precision_weighted: 0.9410628287317604

recall_macro: 0.9414679313146717

recall_micro: 0.94

recall_weighted: 0.94

accuracy: 0.94

# Model Trained Using AutoTrain

- Problem type: Text Classification
- CO2 Emissions (in grams): 0.0000 ## Validation Metrics
loss: 0.14338010549545288

f1_macro: 0.940526140757593

f1_micro: 0.94

f1_weighted: 0.9398044781162052

precision_macro: 0.940964983321917

precision_micro: 0.94

precision_weighted: 0.9410628287317604

recall_macro: 0.9414679313146717

recall_micro: 0.94

recall_weighted: 0.94

accuracy: 0.94
TAGS
#transformers #pytorch #swin #image-classification #autotrain #dataset-abhishek/autotrain-data-imgadvtest3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Text Classification
- CO2 Emissions (in grams): 0.0000 ## Validation Metrics
loss: 0.14338010549545288

f1_macro: 0.940526140757593

f1_micro: 0.94

f1_weighted: 0.9398044781162052

precision_macro: 0.940964983321917

precision_micro: 0.94

precision_weighted: 0.9410628287317604

recall_macro: 0.9414679313146717

recall_micro: 0.94

recall_weighted: 0.94

accuracy: 0.94
TAGS
#transformers #pytorch #swin #image-classification #autotrain #dataset-abhishek/autotrain-data-imgadvtest3 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Text Classification
- CO2 Emissions (in grams): 0.0000## Validation Metrics
loss: 0.14338010549545288

f1_macro: 0.940526140757593

f1_micro: 0.94

f1_weighted: 0.9398044781162052

precision_macro: 0.940964983321917

precision_micro: 0.94

precision_weighted: 0.9410628287317604

recall_macro: 0.9414679313146717

recall_micro: 0.94

recall_weighted: 0.94

accuracy: 0.94