
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992159
- CO2 Emissions (in grams): 4.6084

## Validation Metrics

- Loss: 0.040
- Accuracy: 0.992
- Precision: 0.994
- Recall: 0.998
- AUC: 0.993
- F1: 0.996
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post"], "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": 4.608389135708385}}
transformers pytorch safetensors convnext image-classification autotrain vision dataset:davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #convnext #image-classification #autotrain #vision #dataset-davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992159
- CO2 Emissions (in grams): 4.6084

## Validation Metrics

- Loss: 0.040
- Accuracy: 0.992
- Precision: 0.994
- Recall: 0.998
- AUC: 0.993
- F1: 0.996
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992159
- CO2 Emissions (in grams): 4.6084 ## Validation Metrics

- Loss: 0.040
- Accuracy: 0.992
- Precision: 0.994
- Recall: 0.998
- AUC: 0.993
- F1: 0.996
TAGS
#transformers #pytorch #safetensors #convnext #image-classification #autotrain #vision #dataset-davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992159
- CO2 Emissions (in grams): 4.6084 ## Validation Metrics

- Loss: 0.040
- Accuracy: 0.992
- Precision: 0.994
- Recall: 0.998
- AUC: 0.993
- F1: 0.996
TAGS
#transformers #pytorch #safetensors #convnext #image-classification #autotrain #vision #dataset-davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992159
- CO2 Emissions (in grams): 4.6084## Validation Metrics

- Loss: 0.040
- Accuracy: 0.992
- Precision: 0.994
- Recall: 0.998
- AUC: 0.993
- F1: 0.996