
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 55028128552
- CO2 Emissions (in grams): 0.7315

## Validation Metrics

- Loss: 0.040
- Accuracy: 0.989
- Precision: 0.993
- Recall: 0.993
- AUC: 0.993
- F1: 0.993
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["ImageIN/ImageIn_annotations"], "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": 0.7314698226256887}}
transformers pytorch safetensors convnext image-classification autotrain vision dataset:ImageIN/ImageIn_annotations co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #convnext #image-classification #autotrain #vision #dataset-ImageIN/ImageIn_annotations #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 55028128552
- CO2 Emissions (in grams): 0.7315

## Validation Metrics

- Loss: 0.040
- Accuracy: 0.989
- Precision: 0.993
- Recall: 0.993
- AUC: 0.993
- F1: 0.993
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 55028128552
- CO2 Emissions (in grams): 0.7315 ## Validation Metrics

- Loss: 0.040
- Accuracy: 0.989
- Precision: 0.993
- Recall: 0.993
- AUC: 0.993
- F1: 0.993
TAGS
#transformers #pytorch #safetensors #convnext #image-classification #autotrain #vision #dataset-ImageIN/ImageIn_annotations #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 55028128552
- CO2 Emissions (in grams): 0.7315 ## Validation Metrics

- Loss: 0.040
- Accuracy: 0.989
- Precision: 0.993
- Recall: 0.993
- AUC: 0.993
- F1: 0.993