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  1. config.json +42 -42
config.json CHANGED
@@ -58,30 +58,30 @@
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  "optimizer": "AdamW",
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  "lr": 0.001,
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  "epochs_max": 25,
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- "epochs_actual": 1,
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- "val_accuracy": 0.9234,
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- "val_loss": 1.0109,
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- "train_accuracy": 0.5696,
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  "cutmix_mixup": true,
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  "label_smoothing": 0.1,
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- "early_stop_reason": "myCallback val_acc >= 0.85"
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  },
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  {
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  "name": "Fase 2 - Selective Fine-Tuning",
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  "optimizer": "DiscriminativeAdamW",
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  "lr": 0.0003,
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  "epochs_max": 50,
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- "epochs_actual": 1,
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- "val_accuracy": 0.9628,
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- "val_loss": 0.5655,
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- "train_accuracy": 0.8496,
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  "unfreeze": "block6+top_conv (BN frozen)",
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  "discriminative_lr": {
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  "block6": 0.1
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  },
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  "cutmix_mixup": false,
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  "label_smoothing": 0.05,
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- "early_stop_reason": "myCallback val_acc >= 0.92"
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  },
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  {
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  "name": "SWA Post-Training",
@@ -89,62 +89,62 @@
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  "lr": 0.0001,
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  "bn_update": true,
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  "bn_update_steps": 100,
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- "val_accuracy": 0.9836,
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- "val_loss": 0.4109,
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  "method": "Izmailov et al., UAI 2018"
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  }
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  ],
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  "metrics": {
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- "train_accuracy": 0.9988,
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- "val_accuracy": 0.9836,
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- "test_accuracy": 0.9777,
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- "test_loss": 0.4262,
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- "tta_accuracy": 0.9799,
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- "overfitting_gap": 0.0211,
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- "test_correct": 1314,
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  "test_total": 1344,
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- "macro_precision": 0.9777,
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- "macro_recall": 0.9777,
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- "macro_f1": 0.9777,
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  "per_class_f1": {
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  "barn": 0.9731,
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- "bridge": 0.9676,
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- "castle": 0.9792,
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- "stadium": 0.9791,
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- "temple": 0.9668,
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  },
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  "per_class_recall": {
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  "barn": 0.9702,
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- "temple": 0.9524,
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  "windmill": 0.9881
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  "checkpoint_comparison": {
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  "fine_tuning_swa": {
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- "val_accuracy": 0.9836,
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- "fine_tuning": {
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- "fine_tuning_ema": {
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  "head_training": {
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- "val_accuracy": 0.9234,
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- "val_loss": 1.0109,
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  "rank": 3
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  }
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  }
 
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  "optimizer": "AdamW",
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  "lr": 0.001,
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  "epochs_max": 25,
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+ "epochs_actual": 25,
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+ "val_accuracy": 0.9747,
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+ "val_loss": 0.6859,
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+ "train_accuracy": 0.861,
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  "cutmix_mixup": true,
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  "label_smoothing": 0.1,
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+ "early_stop_reason": "EarlyStopping val_accuracy plateau"
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  },
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  {
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  "name": "Fase 2 - Selective Fine-Tuning",
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  "optimizer": "DiscriminativeAdamW",
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  "lr": 0.0003,
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  "epochs_max": 50,
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+ "epochs_actual": 7,
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+ "val_accuracy": 0.9777,
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+ "val_loss": 0.3988,
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+ "train_accuracy": 0.9722,
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  "unfreeze": "block6+top_conv (BN frozen)",
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  "discriminative_lr": {
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  "block6": 0.1
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  },
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  "cutmix_mixup": false,
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  "label_smoothing": 0.05,
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+ "early_stop_reason": "EarlyStopping val_accuracy plateau"
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  },
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  {
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  "name": "SWA Post-Training",
 
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  "lr": 0.0001,
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  "bn_update": true,
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  "bn_update_steps": 100,
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+ "val_accuracy": 0.9851,
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+ "val_loss": 0.3638,
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  "method": "Izmailov et al., UAI 2018"
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  }
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  ],
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  "metrics": {
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+ "train_accuracy": 0.9997,
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  "test_total": 1344,
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+ "macro_precision": 0.9794,
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  "per_class_f1": {
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  "checkpoint_comparison": {
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  "fine_tuning_swa": {
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+ "fine_tuning_ema": {
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  "rank": 1
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+ "fine_tuning": {
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  "head_training": {
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  "rank": 3
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  }
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  }