AI and Human Image Classification Model v1 A fine tuned model trained on 60,000 AI generated and 60,000 human images. Detailed Training Code is available here: blog/ai/fine tuning siglip2 Evaluation Metrics 🏋️♂️ Train Metrics Epoch: 5.0 Total FLOPs: 51,652,280,821 GF Train Loss: 0.0799 Train Runtime: 2:39:49.46 Train Samples/Sec: 69.053 Train Steps/Sec: 4.316 📊 Evaluation Metrics (Fine Tuned Model on Test Set) Epoch: 5.0 Eval Accuracy: 0.9923 Eval Loss: 0.0551 Eval Runtime: 0:02:35.78 Eval Samples/Sec: 212.533 Eval Steps/Sec: 6.644 NOTE: Users report Some users reported overfitting issues 🔦 Prediction Metrics (on test set): Final Test Accuracy: 0.9923 Final Test F1 Score (Macro): 0.9923 Final Test F1 Score (Weighted): 0.9923 Usage Output
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