run_name stringclasses 6
values | accuracy float64 0.46 0.64 | precision float64 0.38 0.75 | recall float64 0.06 0.85 | f1_score float64 0.1 0.67 | roc_auc float64 0.55 0.71 | pr_auc float64 0.54 0.74 |
|---|---|---|---|---|---|---|
epochs1_bs8_lr0p0001_183619 | 0.57 | 0.556962 | 0.846154 | 0.671756 | 0.564904 | 0.58451 |
epochs1_bs8_lr0p0001_185026 | 0.46 | 0.375 | 0.057692 | 0.1 | 0.553686 | 0.539457 |
epochs3_bs8_lr0p0001_190520 | 0.58 | 0.692308 | 0.346154 | 0.461538 | 0.566907 | 0.592806 |
epochs5_bs16_lr0p0001_190528 | 0.54 | 0.75 | 0.173077 | 0.28125 | 0.63742 | 0.691261 |
epochs8_bs16_lr5e-05_190540 | 0.64 | 0.75 | 0.461538 | 0.571429 | 0.707532 | 0.737011 |
epochs10_bs32_lr5e-05_192729 | 0.61 | 0.675676 | 0.480769 | 0.561798 | 0.659054 | 0.638121 |
Initial Evaluation Results
This repo contains the results from our Stage 1 baseline deepfake classifier
Runs included:
-# Initial Evaluation Results
Baseline ViT runs with different training settings:
- epochs=1, batch_size=8, lr=1e-4
- epochs=3, batch_size=8, lr=1e-4
- epochs=5, batch_size=16, lr=1e-4
- epochs=8, batch_size=16, lr=5e-5
- epochs=10, batch_size=32, lr=5e-5
Best run:
- epochs=8, batch_size=16, lr=5e-5
- Accuracy: 0.64 | F1: 0.57 | ROC-AUC: 0.71
See all_runs_summary.csv for full comparison.
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