
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 57
- CO2 Emissions (in grams): 17.3923

## Validation Metrics

- Loss: 0.875
- Accuracy: 0.762
- Macro F1: 0.758
- Micro F1: 0.762
- Weighted F1: 0.758
- Macro Precision: 0.772
- Micro Precision: 0.762
- Weighted Precision: 0.772
- Macro Recall: 0.762
- Micro Recall: 0.762
- Weighted Recall: 0.762
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["abhishek/autotrain-data-indian-food-image-classification"], "co2_eq_emissions": {"emissions": 17.39230724017564}}
transformers pytorch vit image-classification autotrain vision dataset:abhishek/autotrain-data-indian-food-image-classification co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-abhishek/autotrain-data-indian-food-image-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 57
- CO2 Emissions (in grams): 17.3923

## Validation Metrics

- Loss: 0.875
- Accuracy: 0.762
- Macro F1: 0.758
- Micro F1: 0.762
- Weighted F1: 0.758
- Macro Precision: 0.772
- Micro Precision: 0.762
- Weighted Precision: 0.772
- Macro Recall: 0.762
- Micro Recall: 0.762
- Weighted Recall: 0.762
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 57
- CO2 Emissions (in grams): 17.3923 ## Validation Metrics

- Loss: 0.875
- Accuracy: 0.762
- Macro F1: 0.758
- Micro F1: 0.762
- Weighted F1: 0.758
- Macro Precision: 0.772
- Micro Precision: 0.762
- Weighted Precision: 0.772
- Macro Recall: 0.762
- Micro Recall: 0.762
- Weighted Recall: 0.762
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-abhishek/autotrain-data-indian-food-image-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 57
- CO2 Emissions (in grams): 17.3923 ## Validation Metrics

- Loss: 0.875
- Accuracy: 0.762
- Macro F1: 0.758
- Micro F1: 0.762
- Weighted F1: 0.758
- Macro Precision: 0.772
- Micro Precision: 0.762
- Weighted Precision: 0.772
- Macro Recall: 0.762
- Micro Recall: 0.762
- Weighted Recall: 0.762
passage: TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-abhishek/autotrain-data-indian-food-image-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 57
- CO2 Emissions (in grams): 17.3923## Validation Metrics

- Loss: 0.875
- Accuracy: 0.762
- Macro F1: 0.758
- Micro F1: 0.762
- Weighted F1: 0.758
- Macro Precision: 0.772
- Micro Precision: 0.762
- Weighted Precision: 0.772
- Macro Recall: 0.762
- Micro Recall: 0.762
- Weighted Recall: 0.762