
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992158
- CO2 Emissions (in grams): 13.4530

## Validation Metrics

- Loss: 0.025
- Accuracy: 0.992
- Precision: 0.998
- Recall: 0.994
- AUC: 0.998
- F1: 0.996
{"tags": ["autotrain", "vision", "image-classification"], "datasets": ["biglam/encyclopaedia_britannica_illustrated"], "widget": [{"src": "https://datasets-server.huggingface.co/assets/biglam/encyclopaedia_britannica_illustrated/--/biglam--encyclopaedia_britannica_illustrated/train/0/image/image.jpg", "example_title": "not-illustrated example"}, {"src": "https://datasets-server.huggingface.co/assets/biglam/encyclopaedia_britannica_illustrated/--/biglam--encyclopaedia_britannica_illustrated/train/67/image/image.jpg", "example_title": "illustrated example"}], "co2_eq_emissions": {"emissions": 13.45295564861545}}
transformers pytorch vit image-classification autotrain vision dataset:biglam/encyclopaedia_britannica_illustrated co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-biglam/encyclopaedia_britannica_illustrated #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992158
- CO2 Emissions (in grams): 13.4530

## Validation Metrics

- Loss: 0.025
- Accuracy: 0.992
- Precision: 0.998
- Recall: 0.994
- AUC: 0.998
- F1: 0.996
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992158
- CO2 Emissions (in grams): 13.4530 ## Validation Metrics

- Loss: 0.025
- Accuracy: 0.992
- Precision: 0.998
- Recall: 0.994
- AUC: 0.998
- F1: 0.996
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-biglam/encyclopaedia_britannica_illustrated #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992158
- CO2 Emissions (in grams): 13.4530 ## Validation Metrics

- Loss: 0.025
- Accuracy: 0.992
- Precision: 0.998
- Recall: 0.994
- AUC: 0.998
- F1: 0.996
TAGS
#transformers #pytorch #vit #image-classification #autotrain #vision #dataset-biglam/encyclopaedia_britannica_illustrated #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3327992158
- CO2 Emissions (in grams): 13.4530## Validation Metrics

- Loss: 0.025
- Accuracy: 0.992
- Precision: 0.998
- Recall: 0.994
- AUC: 0.998
- F1: 0.996