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 +1,28 @@
+{
+  "rl_lr": 0.00010813783435909571,
+  "weight_decay": 7.7344821566468e-06,
+  "dropout_p": 0.0599326836668414,
+  "tmax": 5,
+  "encoder_lr": 0,
+  "head_lr": 0,
+  "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
+
+}

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_Folds_1/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.csv

@@ -0,0 +1,5 @@
+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
+0.08306951075792313,0.0,0.08883366733789444,5,0.653180718421936,0.0,0.29808029532432556,21.579689025878906,0.0,20.939205169677734,0.5482158064842224,0.0,0.2896190881729126,1,0.7285829782485962,0.0,0.3078673779964447,0.6838089823722839,0.0,0.3283780813217163,2
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.json

@@ -0,0 +1,94 @@
+[
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+    "hd95_within_run_std_mean": 20.939205169677734,
+    "iou_mean": 0.5482158064842224,
+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.2896190881729126,
+    "n_runs": 1,
+    "ppv_mean": 0.7285829782485962,
+    "ppv_std": 0.0,
+    "ppv_within_run_std_mean": 0.3078673779964447,
+    "sen_mean": 0.6838089823722839,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.3283780813217163,
+    "strategy": 2
+  },
+  {
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+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.3056126832962036,
+    "n_runs": 1,
+    "ppv_mean": 0.7488996982574463,
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+    "sen_mean": 0.6567749381065369,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.3392448127269745,
+    "strategy": 3
+  },
+  {
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+    "dice_within_run_std_mean": 0.2835729718208313,
+    "hd95_mean": Infinity,
+    "hd95_std": NaN,
+    "hd95_within_run_std_mean": null,
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+    "iou_std": 0.0,
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+    "sen_std": 0.0,
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+    "strategy": 3
+  }
+]

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.csv

@@ -0,0 +1,5 @@
+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_Folds_1/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.json

@@ -0,0 +1,90 @@
+[
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+    "split_repeat_index": 1,
+    "strategy": 3,
+    "subset_manifest_path": "/workspace/runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/manifests/subsets/split_001_pct_015_repeat_01.json",
+    "subset_repeat_index": 1
+  }
+]

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/norm_stats_BUSI_with_classes_stratified_80_10_10_005pct_repeat01.json

@@ -0,0 +1,33 @@
+{
+  "filenames": [
+    "BUSI_0116_M.png",
+    "BUSI_0240_B.png",
+    "BUSI_0233_B.png",
+    "BUSI_0031_B.png",
+    "BUSI_0194_M.png",
+    "BUSI_0141_M.png",
+    "BUSI_0105_M.png",
+    "BUSI_0093_B.png",
+    "BUSI_0423_B.png",
+    "BUSI_0003_M.png",
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+    "BUSI_0072_B.png",
+    "BUSI_0252_B.png",
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+    "BUSI_0158_B.png",
+    "BUSI_0003_B.png",
+    "BUSI_0124_B.png",
+    "BUSI_0235_B.png",
+    "BUSI_0024_M.png",
+    "BUSI_0028_B.png",
+    "BUSI_0253_B.png",
+    "BUSI_0254_B.png"
+  ],
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+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/checkpoints/latest.pt.meta.json

@@ -0,0 +1,39 @@
+{
+  "backbone_family": "smp",
+  "checkpoint_path": "/workspace/runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/checkpoints/latest.pt",
+  "dataset_percent": 0.05,
+  "epoch": 100,
+  "run_type": "final",
+  "saved_keys": [
+    "best_metric_name",
+    "best_metric_value",
+    "config",
+    "elapsed_seconds",
+    "epoch",
+    "epoch_metrics",
+    "history",
+    "model_state_dict",
+    "optimizer_state_dict",
+    "patience_counter",
+    "run_config",
+    "run_type",
+    "scheduler_state_dict"
+  ],
+  "state_presence": {
+    "alpha_optimizer_state_dict": false,
+    "best_metric_name": true,
+    "best_metric_value": true,
+    "elapsed_seconds": true,
+    "epoch_metrics": true,
+    "history": true,
+    "log_alpha": false,
+    "model_state_dict": true,
+    "optimizer_state_dict": true,
+    "patience_counter": true,
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/evaluation.json

@@ -0,0 +1,620 @@
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/evaluation_summary.json

@@ -0,0 +1,4 @@
+{
+  "mean_dice": 0.653180718421936,
+  "mean_iou": 0.5482158064842224
+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/low_iou_samples.csv

@@ -0,0 +1,7 @@
+sample_id
+BUSI_0273_B
+BUSI_0349_B
+BUSI_0163_M
+BUSI_0157_M
+BUSI_0192_M
+BUSI_0256_B

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/run_config.json

@@ -0,0 +1,63 @@
+{
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+  "tmax": 5,
+  "train_resume_mode": "off",
+  "train_resume_specific_checkpoint": "",
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_2/final/summary.json

@@ -0,0 +1,20 @@
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/checkpoints/best.pt.meta.json

@@ -0,0 +1,61 @@
+{
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/checkpoints/latest.pt.meta.json

@@ -0,0 +1,41 @@
+{
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/evaluation.json

@@ -0,0 +1,620 @@
+{
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/evaluation_summary.json

@@ -0,0 +1,4 @@
+{
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+  "mean_iou": 0.5500392913818359
+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/low_iou_samples.csv

@@ -0,0 +1,8 @@
+sample_id
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+BUSI_0349_B
+BUSI_0163_M
+BUSI_0222_B
+BUSI_0157_M
+BUSI_0192_M
+BUSI_0256_B

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/run_config.json

@@ -0,0 +1,93 @@
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+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_005/repeat_01/strategy_3/final/summary.json

@@ -0,0 +1,26 @@
+{
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+  "strategy3_freeze_requested": true,
+  "strategy3_segmentation_head_state": "frozen"
+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/norm_stats_BUSI_with_classes_stratified_80_10_10_015pct_repeat01.json

@@ -0,0 +1,85 @@
+{
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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/checkpoints/best.pt.meta.json

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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/checkpoints/latest.pt.meta.json

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runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/evaluation.json

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runs/EfficientNetB0_Folds_1/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_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/low_iou_samples.csv

@@ -0,0 +1,5 @@
+sample_id
+BUSI_0273_B
+BUSI_0163_M
+BUSI_0157_M
+BUSI_0256_B

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_2/final/run_config.json

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runs/EfficientNetB0_Folds_1/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_Folds_1/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_Folds_1/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_Folds_1/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_Folds_1/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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+  "mean_iou": 0.6301885843276978
+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/low_iou_samples.csv

@@ -0,0 +1,5 @@
+sample_id
+BUSI_0273_B
+BUSI_0163_M
+BUSI_0157_M
+BUSI_0256_B

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/run_config.json

@@ -0,0 +1,93 @@
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+  "tmax": 5,
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+}

runs/EfficientNetB0_Folds_1/repeated_holdout/stratified_holdout_v1/split_001/pct_015/repeat_01/strategy_3/final/summary.json

@@ -0,0 +1,26 @@
+{
+  "best_model_metric": 0.009271602871510076,
+  "best_model_metric_name": "val_iou_gain",
+  "best_val_dice": 0.7768602744881766,
+  "best_val_iou": 0.6783840611281147,
+  "best_val_iou_gain": 0.009271602871510076,
+  "device_used": "cuda",
+  "early_stopping_best_value": 0.009271602871510076,
+  "early_stopping_min_delta": 0.0,
+  "early_stopping_monitor_mode": "max",
+  "early_stopping_monitor_name": "val_iou_gain",
+  "early_stopping_patience": 0,
+  "early_stopping_start_epoch": 1,
+  "elapsed_seconds": 1357.3748407363892,
+  "final_epoch": 250,
+  "resumed": false,
+  "run_type": "final",
+  "seconds_per_epoch": 5.429499362945557,
+  "strategy": 3,
+  "strategy3_bootstrap_loaded": true,
+  "strategy3_decoder_state": "frozen",
+  "strategy3_encoder_state": "frozen",
+  "strategy3_freeze_active": true,
+  "strategy3_freeze_requested": true,
+  "strategy3_segmentation_head_state": "frozen"
+}