
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059

## Validation Metrics

- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: 0.979
- Macro Recall: 0.958
- Micro Recall: 0.976
- Weighted Recall: 0.976
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["shahukareem/autotrain-data-hedhikaa-classification"], "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": 0.0059374716509795235}}
transformers pytorch autotrain vision image-classification dataset:shahukareem/autotrain-data-hedhikaa-classification co2_eq_emissions endpoints_compatible region:us
TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-shahukareem/autotrain-data-hedhikaa-classification #co2_eq_emissions #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059

## Validation Metrics

- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: 0.979
- Macro Recall: 0.958
- Micro Recall: 0.976
- Weighted Recall: 0.976
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059 ## Validation Metrics

- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: 0.979
- Macro Recall: 0.958
- Micro Recall: 0.976
- Weighted Recall: 0.976
TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-shahukareem/autotrain-data-hedhikaa-classification #co2_eq_emissions #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059 ## Validation Metrics

- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: 0.979
- Macro Recall: 0.958
- Micro Recall: 0.976
- Weighted Recall: 0.976
passage: TAGS
#transformers #pytorch #autotrain #vision #image-classification #dataset-shahukareem/autotrain-data-hedhikaa-classification #co2_eq_emissions #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059## Validation Metrics

- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: 0.979
- Macro Recall: 0.958
- Micro Recall: 0.976
- Weighted Recall: 0.976