
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3122688387
- CO2 Emissions (in grams): 0.5722

## Validation Metrics

- Loss: 1.749
- Accuracy: 0.571
- Macro F1: 0.444
- Micro F1: 0.571
- Weighted F1: 0.476
- Macro Precision: 0.417
- Micro Precision: 0.571
- Weighted Precision: 0.429
- Macro Recall: 0.500
- Micro Recall: 0.571
- Weighted Recall: 0.571
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["Lloviant/autotrain-data-ex-and-pt"], "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": 0.5722366196083666}}
transformers pytorch vit image-classification autotrain vision dataset:Lloviant/autotrain-data-ex-and-pt co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-Lloviant/autotrain-data-ex-and-pt #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3122688387
- CO2 Emissions (in grams): 0.5722

## Validation Metrics

- Loss: 1.749
- Accuracy: 0.571
- Macro F1: 0.444
- Micro F1: 0.571
- Weighted F1: 0.476
- Macro Precision: 0.417
- Micro Precision: 0.571
- Weighted Precision: 0.429
- Macro Recall: 0.500
- Micro Recall: 0.571
- Weighted Recall: 0.571
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3122688387
- CO2 Emissions (in grams): 0.5722 ## Validation Metrics

- Loss: 1.749
- Accuracy: 0.571
- Macro F1: 0.444
- Micro F1: 0.571
- Weighted F1: 0.476
- Macro Precision: 0.417
- Micro Precision: 0.571
- Weighted Precision: 0.429
- Macro Recall: 0.500
- Micro Recall: 0.571
- Weighted Recall: 0.571
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-Lloviant/autotrain-data-ex-and-pt #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3122688387
- CO2 Emissions (in grams): 0.5722 ## Validation Metrics

- Loss: 1.749
- Accuracy: 0.571
- Macro F1: 0.444
- Micro F1: 0.571
- Weighted F1: 0.476
- Macro Precision: 0.417
- Micro Precision: 0.571
- Weighted Precision: 0.429
- Macro Recall: 0.500
- Micro Recall: 0.571
- Weighted Recall: 0.571
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-Lloviant/autotrain-data-ex-and-pt #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3122688387
- CO2 Emissions (in grams): 0.5722## Validation Metrics

- Loss: 1.749
- Accuracy: 0.571
- Macro F1: 0.444
- Micro F1: 0.571
- Weighted F1: 0.476
- Macro Precision: 0.417
- Micro Precision: 0.571
- Weighted Precision: 0.429
- Macro Recall: 0.500
- Micro Recall: 0.571
- Weighted Recall: 0.571