Add files using upload-large-folder tool

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+__pycache__/Changed_MLR_All_Strategies.cpython-312.pyc filter=lfs diff=lfs merge=lfs -text

hyperparams/strat2_best_params.json

@@ -0,0 +1,8 @@
+{
+  "head_lr": 0.002908999360857405,
+  "encoder_lr": 0.002758206281092185,
+  "weight_decay": 0.0001353680433264613,
+  "dropout_p": 0.3284101032191153,
+  "tmax": 5,
+  "entropy_lr": 0.0003
+}

hyperparams/strat3_best_params.json

@@ -0,0 +1,29 @@
+{
+  "rl_lr": 0.00010813783435909571,
+  "weight_decay": 7.7344821566468e-06,
+  "dropout_p": 0.0599326836668414,
+  "tmax": 5,
+  "encoder_lr": 0.0002758206281092185,
+  "head_lr": 0.0002908999360857405,
+  "entropy_lr": 0.0007688106801474952,
+  "smp_encoder_proj_dim": 192,
+  "entropy_target_ratio": 0.43871283308838427,
+  "entropy_alpha_init": 0.16391552721668934,
+  "min_alpha": 0.0005693074767644616,
+  "gae_lambda": 0.8944772161195532,
+  "critic_loss_weight": 0.5212296337434775,
+  "a3c_entropy_coeff": 0.003712624179040533,
+  "asymmetric_reward_alpha": 0.5553304210317992,
+  "boundary_reward_weight": 0.6095643339798968,
+  "binary_reward_weight": 0.6016074139373169,
+  "reward_boundary_focus": 0.33346118831249305,
+  "reward_inaction_cost": 0.0490105049931256,
+  "strategy3_rl_grad_clip_norm": 3.678930600883288,
+  "refine_delta_small": 0.09791237813339448,
+  "refine_delta_large": 0.20071320523192807,
+  "threshold": 0.49683582808326887,
+  "mc_dropout_p": 0.49497765893871026,
+  "mc_n_passes": 4,
+  "strategy3_decoder_unfreeze_warmup_fraction": 0.15,
+  "strategy3_encoder_unfreeze_warmup_fraction": 0.45
+}

requirements_runpod.txt

@@ -0,0 +1,13 @@
+# Use this with a RunPod PyTorch image that already includes torch/torchvision + CUDA.
+# This avoids wasting setup time reinstalling large GPU wheels.
+
+numpy>=1.24.0
+scipy>=1.10.0
+pillow>=10.0.0
+tqdm>=4.66.0
+matplotlib>=3.8.0
+pandas>=2.2.0
+openpyxl>=3.1.0
+optuna>=3.6.0
+segmentation-models-pytorch>=0.5.0
+timm>=1.0.0

runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.csv

@@ -0,0 +1,2 @@
+biou_mean,biou_std,biou_within_run_std_mean,dataset_percent,dice_mean,dice_std,dice_within_run_std_mean,hd95_mean,hd95_std,hd95_within_run_std_mean,iou_mean,iou_std,iou_within_run_std_mean,n_runs,ppv_mean,ppv_std,ppv_within_run_std_mean,sen_mean,sen_std,sen_within_run_std_mean,strategy
+0.07459423691034317,0.0,0.08374274522066116,15,0.6751614809036255,0.0,0.3063052296638489,37.55875015258789,0.0,38.72359848022461,0.5786560773849487,0.0,0.30325081944465637,1,0.7189012169837952,0.0,0.3254406154155731,0.718428909778595,0.0,0.3131425678730011,3

runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.json

@@ -0,0 +1,25 @@
+[
+  {
+    "biou_mean": 0.07459423691034317,
+    "biou_std": 0.0,
+    "biou_within_run_std_mean": 0.08374274522066116,
+    "dataset_percent": 15,
+    "dice_mean": 0.6751614809036255,
+    "dice_std": 0.0,
+    "dice_within_run_std_mean": 0.3063052296638489,
+    "hd95_mean": 37.55875015258789,
+    "hd95_std": 0.0,
+    "hd95_within_run_std_mean": 38.72359848022461,
+    "iou_mean": 0.5786560773849487,
+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.30325081944465637,
+    "n_runs": 1,
+    "ppv_mean": 0.7189012169837952,
+    "ppv_std": 0.0,
+    "ppv_within_run_std_mean": 0.3254406154155731,
+    "sen_mean": 0.718428909778595,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.3131425678730011,
+    "strategy": 3
+  }
+]

runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.csv

@@ -0,0 +1,2 @@
+biou_mean,biou_std,dataset_percent,dice_mean,dice_std,evaluation_path,hd95_mean,hd95_std,iou_mean,iou_std,ppv_mean,ppv_std,run_dir,sen_mean,sen_std,split_manifest_path,split_repeat_index,strategy,subset_manifest_path,subset_repeat_index
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runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.json

@@ -0,0 +1,24 @@
+[
+  {
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+    "biou_std": 0.08374274522066116,
+    "dataset_percent": 15,
+    "dice_mean": 0.6751614809036255,
+    "dice_std": 0.3063052296638489,
+    "evaluation_path": "/workspace/runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/evaluation.json",
+    "hd95_mean": 37.55875015258789,
+    "hd95_std": 38.72359848022461,
+    "iou_mean": 0.5786560773849487,
+    "iou_std": 0.30325081944465637,
+    "ppv_mean": 0.7189012169837952,
+    "ppv_std": 0.3254406154155731,
+    "run_dir": "/workspace/runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final",
+    "sen_mean": 0.718428909778595,
+    "sen_std": 0.3131425678730011,
+    "split_manifest_path": "/workspace/runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/manifests/splits/split_001.json",
+    "split_repeat_index": 1,
+    "strategy": 3,
+    "subset_manifest_path": "/workspace/runs/EfficientNetB0_frozen_new_image_size/repeated_holdout/stratified_holdout_v1/manifests/subsets/split_001_pct_015_repeat_01.json",
+    "subset_repeat_index": 1
+  }
+]

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.csv

@@ -0,0 +1,3 @@
+biou_mean,biou_std,biou_within_run_std_mean,dataset_percent,dice_mean,dice_std,dice_within_run_std_mean,hd95_mean,hd95_std,hd95_within_run_std_mean,iou_mean,iou_std,iou_within_run_std_mean,n_runs,ppv_mean,ppv_std,ppv_within_run_std_mean,sen_mean,sen_std,sen_within_run_std_mean,strategy
+0.08182384073734283,0.0,0.08395849913358688,15,0.7259513735771179,0.0,0.2751016914844513,inf,nan,,0.6318931579589844,0.0,0.2917026877403259,1,0.8192698955535889,0.0,0.24644045531749725,0.7404062747955322,0.0,0.2915607988834381,2
+0.09032101184129715,0.0,0.08992937207221985,15,0.7355818748474121,0.0,0.2857323884963989,inf,nan,,0.6476189494132996,0.0,0.29582080245018005,1,0.8280729651451111,0.0,0.24810878932476044,0.7475545406341553,0.0,0.29091736674308777,3

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.json

@@ -0,0 +1,48 @@
+[
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+    "biou_std": 0.0,
+    "biou_within_run_std_mean": 0.08395849913358688,
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+    "dice_mean": 0.7259513735771179,
+    "dice_std": 0.0,
+    "dice_within_run_std_mean": 0.2751016914844513,
+    "hd95_mean": Infinity,
+    "hd95_std": NaN,
+    "hd95_within_run_std_mean": null,
+    "iou_mean": 0.6318931579589844,
+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.2917026877403259,
+    "n_runs": 1,
+    "ppv_mean": 0.8192698955535889,
+    "ppv_std": 0.0,
+    "ppv_within_run_std_mean": 0.24644045531749725,
+    "sen_mean": 0.7404062747955322,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.2915607988834381,
+    "strategy": 2
+  },
+  {
+    "biou_mean": 0.09032101184129715,
+    "biou_std": 0.0,
+    "biou_within_run_std_mean": 0.08992937207221985,
+    "dataset_percent": 15,
+    "dice_mean": 0.7355818748474121,
+    "dice_std": 0.0,
+    "dice_within_run_std_mean": 0.2857323884963989,
+    "hd95_mean": Infinity,
+    "hd95_std": NaN,
+    "hd95_within_run_std_mean": null,
+    "iou_mean": 0.6476189494132996,
+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.29582080245018005,
+    "n_runs": 1,
+    "ppv_mean": 0.8280729651451111,
+    "ppv_std": 0.0,
+    "ppv_within_run_std_mean": 0.24810878932476044,
+    "sen_mean": 0.7475545406341553,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.29091736674308777,
+    "strategy": 3
+  }
+]

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.csv

@@ -0,0 +1,3 @@
+biou_mean,biou_std,dataset_percent,dice_mean,dice_std,evaluation_path,hd95_mean,hd95_std,iou_mean,iou_std,ppv_mean,ppv_std,run_dir,sen_mean,sen_std,split_manifest_path,split_repeat_index,strategy,subset_manifest_path,subset_repeat_index
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.json

@@ -0,0 +1,46 @@
+[
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+    "ppv_mean": 0.8192698955535889,
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+    "subset_manifest_path": "/workspace/runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/manifests/subsets/split_001_pct_015_repeat_01.json",
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+    "hd95_mean": Infinity,
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+    "ppv_mean": 0.8280729651451111,
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+    "split_repeat_index": 1,
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+    "subset_repeat_index": 1
+  }
+]

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/norm_stats_BUSI_with_classes_stratified_80_10_10_015pct_repeat01.json

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+}

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/evaluation.json

@@ -0,0 +1,620 @@
+{
+  "best_metric_name": "val_iou",
+  "best_metric_value": 0.6740861249381335,
+  "checkpoint_mode": "best",
+  "checkpoint_path": "/workspace/runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/checkpoints/best.pt",
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/evaluation_summary.json

@@ -0,0 +1,4 @@
+{
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/low_iou_samples.csv

@@ -0,0 +1,3 @@
+sample_id
+BUSI_0163_M
+BUSI_0256_B

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/run_config.json

@@ -0,0 +1,63 @@
+{
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/summary.json

@@ -0,0 +1,20 @@
+{
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/checkpoints/best.pt.meta.json

@@ -0,0 +1,61 @@
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/checkpoints/latest.pt.meta.json

@@ -0,0 +1,41 @@
+{
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/evaluation.json

@@ -0,0 +1,620 @@
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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/evaluation_summary.json

@@ -0,0 +1,4 @@
+{
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+}

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/low_iou_samples.csv

@@ -0,0 +1,4 @@
+sample_id
+BUSI_0163_M
+BUSI_0119_B
+BUSI_0256_B

runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/run_config.json

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runs/EfficientNetB0_frozen_new_image_size_BUTWSTRAT2/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/summary.json

@@ -0,0 +1,31 @@
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+}