
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 264300
- CO2 Emissions (in grams): 2.050948967287266

## Validation Metrics

- Loss: 0.009216072037816048
- Accuracy: 0.9976190476190476
- Macro F1: 0.9973261861865685
- Micro F1: 0.9976190476190476
- Weighted F1: 0.997621154535828
- Macro Precision: 0.9964539007092199
- Micro Precision: 0.9976190476190476
- Weighted Precision: 0.9976359338061465
- Macro Recall: 0.9982142857142857
- Micro Recall: 0.9976190476190476
- Weighted Recall: 0.9976190476190476
{"tags": "autotrain", "datasets": ["abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934", "sasha/dog-food"], "co2_eq_emissions": 2.050948967287266, "model-index": [{"name": "autotrain-dog-vs-food", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "sasha/dog-food", "type": "sasha/dog-food"}, "metrics": [{"type": "accuracy", "value": 0.9976190476190476, "name": "Accuracy"}]}, {"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "sasha/dog-food", "type": "sasha/dog-food", "config": "sasha--dog-food", "split": "test"}, "metrics": [{"type": "accuracy", "value": 1.0, "name": "Accuracy", "verified": true}, {"type": "precision", "value": 1.0, "name": "Precision", "verified": true}, {"type": "recall", "value": 1.0, "name": "Recall", "verified": true}, {"type": "auc", "value": 1.0, "name": "AUC", "verified": true}, {"type": "f1", "value": 1.0, "name": "F1", "verified": true}, {"type": "loss", "value": 0.001115015591494739, "name": "loss", "verified": true}]}]}]}
transformers pytorch vit image-classification autotrain dataset:abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934 dataset:sasha/dog-food model-index co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #dataset-abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934 #dataset-sasha/dog-food #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 264300
- CO2 Emissions (in grams): 2.050948967287266

## Validation Metrics

- Loss: 0.009216072037816048
- Accuracy: 0.9976190476190476
- Macro F1: 0.9973261861865685
- Micro F1: 0.9976190476190476
- Weighted F1: 0.997621154535828
- Macro Precision: 0.9964539007092199
- Micro Precision: 0.9976190476190476
- Weighted Precision: 0.9976359338061465
- Macro Recall: 0.9982142857142857
- Micro Recall: 0.9976190476190476
- Weighted Recall: 0.9976190476190476
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 264300
- CO2 Emissions (in grams): 2.050948967287266 ## Validation Metrics

- Loss: 0.009216072037816048
- Accuracy: 0.9976190476190476
- Macro F1: 0.9973261861865685
- Micro F1: 0.9976190476190476
- Weighted F1: 0.997621154535828
- Macro Precision: 0.9964539007092199
- Micro Precision: 0.9976190476190476
- Weighted Precision: 0.9976359338061465
- Macro Recall: 0.9982142857142857
- Micro Recall: 0.9976190476190476
- Weighted Recall: 0.9976190476190476
TAGS
#transformers #pytorch #vit #image-classification #autotrain #dataset-abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934 #dataset-sasha/dog-food #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 264300
- CO2 Emissions (in grams): 2.050948967287266 ## Validation Metrics

- Loss: 0.009216072037816048
- Accuracy: 0.9976190476190476
- Macro F1: 0.9973261861865685
- Micro F1: 0.9976190476190476
- Weighted F1: 0.997621154535828
- Macro Precision: 0.9964539007092199
- Micro Precision: 0.9976190476190476
- Weighted Precision: 0.9976359338061465
- Macro Recall: 0.9982142857142857
- Micro Recall: 0.9976190476190476
- Weighted Recall: 0.9976190476190476
passage: TAGS
#transformers #pytorch #vit #image-classification #autotrain #dataset-abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934 #dataset-sasha/dog-food #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 264300
- CO2 Emissions (in grams): 2.050948967287266## Validation Metrics

- Loss: 0.009216072037816048
- Accuracy: 0.9976190476190476
- Macro F1: 0.9973261861865685
- Micro F1: 0.9976190476190476
- Weighted F1: 0.997621154535828
- Macro Precision: 0.9964539007092199
- Micro Precision: 0.9976190476190476
- Weighted Precision: 0.9976359338061465
- Macro Recall: 0.9982142857142857
- Micro Recall: 0.9976190476190476
- Weighted Recall: 0.9976190476190476