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aneurysm-detection-ft
dhananjaypatkar/aneurysm-detection-ft
aneurysm-detection-ft is a machine learning model from dhananjaypatkar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
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At a glance
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 28, 2025
- Updated
- Sep 29, 2025
- SHA
- 08a2a4c4
Base models
Model card
From the Hugging Face model README
Model Card for Model ID
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
Validation Accuracy: 0.8195 Validation F1 Score: 0.7834 Validation ROC AUC: 0.8123
Model Details
Model Description
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Uses
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Recommendations
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How to Get Started with the Model
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Training Details
Training Data
https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/data
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Training Procedure
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Training Hyperparameters
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Evaluation
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Testing Data
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Factors
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Metrics
Validation Metrics
Validation Accuracy: 0.8195
Validation F1 Score: 0.7834
Validation ROC AUC: 0.8123
| precision | recall | f1-score | support | |
|---|---|---|---|---|
| 0 | 0.83 | 0.86 | 0.85 | 497 |
| 1 | 0.81 | 0.76 | 0.78 | 373 |
| accuracy | 0.82 | 870 | ||
| macro avg | 0.82 | 0.81 | 0.81 | 870 |
| weighted avg | 0.82 | 0.82 | 0.82 | 870 |
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Results
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Summary
Model Examination [optional]
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Environmental Impact
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Technical Specifications [optional]
Model Architecture and Objective
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- Type
- vit
- License
- apache-2.0
- Created
- Sep 28, 2025
- Updated
- Sep 29, 2025