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One-encoder image fusion: using timm backbone initialized from ImageNet weights.
Data dir: /marimo/milk10k
Output dir: /marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05
Device: cuda
Classes: ['AKIEC', 'BCC', 'BEN_OTH', 'BKL', 'DF', 'INF', 'MAL_OTH', 'MEL', 'NV', 'SCCKA', 'VASC']
Paired lesions: train=4192, val=1048, total=5240
Metadata input dim: 27
MONET columns: 7
Metadata mode: disable_metadata=False, freeze_metadata_head=False, metadata_lr=None, metadata_fusion=concat, image_fusion=shared_encoder_pool, gate_hidden_dim=64
Loss: ce, class_weight=False, weighted_sampler=True, balance_mode=none

Phase: freeze, epochs=8, encoders_trainable=False

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freeze epoch 001: train_loss=1.6736 val_loss=1.1749 train_bal_acc=0.2542 train_f1=0.2542 val_acc=0.6193 val_bal_acc=0.3283 val_f1=0.3109 val_dice=0.3109 val_top3=0.8836 selected=raw
Saved best raw: f1_macro=0.3109
Saved best checkpoint: phase=freeze epoch=001 best_f1_macro=0.3109 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=freeze epoch=001 f1_macro=0.3109 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 002: train_loss=1.3555 val_loss=1.0752 train_bal_acc=0.4184 train_f1=0.4386 val_acc=0.6336 val_bal_acc=0.3620 val_f1=0.3548 val_dice=0.3548 val_top3=0.9084 selected=raw
Saved best raw: f1_macro=0.3548
Saved best checkpoint: phase=freeze epoch=002 best_f1_macro=0.3548 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=freeze epoch=002 f1_macro=0.3548 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 003: train_loss=1.1884 val_loss=1.1765 train_bal_acc=0.5142 train_f1=0.5472 val_acc=0.5887 val_bal_acc=0.4135 val_f1=0.3682 val_dice=0.3682 val_top3=0.8998 selected=raw
Saved best raw: f1_macro=0.3682
Saved best checkpoint: phase=freeze epoch=003 best_f1_macro=0.3682 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=freeze epoch=003 f1_macro=0.3682 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 004: train_loss=1.1192 val_loss=1.0829 train_bal_acc=0.5709 train_f1=0.5992 val_acc=0.6145 val_bal_acc=0.3772 val_f1=0.3765 val_dice=0.3765 val_top3=0.9065 selected=raw
Saved best raw: f1_macro=0.3765
Saved best checkpoint: phase=freeze epoch=004 best_f1_macro=0.3765 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=freeze epoch=004 f1_macro=0.3765 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 005: train_loss=1.0071 val_loss=1.0747 train_bal_acc=0.6306 train_f1=0.6481 val_acc=0.6498 val_bal_acc=0.3880 val_f1=0.4004 val_dice=0.4004 val_top3=0.9017 selected=raw
Saved best raw: f1_macro=0.4004
Saved best checkpoint: phase=freeze epoch=005 best_f1_macro=0.4004 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=freeze epoch=005 f1_macro=0.4004 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 006: train_loss=0.9603 val_loss=1.0238 train_bal_acc=0.6803 train_f1=0.6904 val_acc=0.6594 val_bal_acc=0.4150 val_f1=0.3953 val_dice=0.3953 val_top3=0.9256 selected=raw
Saved last checkpoint: phase=freeze epoch=006 f1_macro=0.3953 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 007: train_loss=0.8752 val_loss=1.0985 train_bal_acc=0.7112 train_f1=0.7188 val_acc=0.6279 val_bal_acc=0.4890 val_f1=0.4243 val_dice=0.4243 val_top3=0.9113 selected=raw
Saved best raw: f1_macro=0.4243
Saved best checkpoint: phase=freeze epoch=007 best_f1_macro=0.4243 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=freeze epoch=007 f1_macro=0.4243 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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freeze epoch 008: train_loss=0.8464 val_loss=1.1218 train_bal_acc=0.7288 train_f1=0.7365 val_acc=0.6097 val_bal_acc=0.3990 val_f1=0.4065 val_dice=0.4065 val_top3=0.9198 selected=raw
Saved last checkpoint: phase=freeze epoch=008 f1_macro=0.4065 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

Phase: finetune, epochs=40, encoders_trainable=True

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finetune epoch 009: train_loss=0.8078 val_loss=1.0449 train_bal_acc=0.7445 train_f1=0.7504 val_acc=0.6641 val_bal_acc=0.4329 val_f1=0.4381 val_dice=0.4381 val_top3=0.9189 selected=raw
Saved best raw: f1_macro=0.4381
Saved best checkpoint: phase=finetune epoch=009 best_f1_macro=0.4381 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best.pt
Saved last checkpoint: phase=finetune epoch=009 f1_macro=0.4381 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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finetune epoch 010: train_loss=0.7262 val_loss=1.0006 train_bal_acc=0.7801 train_f1=0.7847 val_acc=0.6718 val_bal_acc=0.3969 val_f1=0.4132 val_dice=0.4132 val_top3=0.9189 selected=raw
Saved last checkpoint: phase=finetune epoch=010 f1_macro=0.4132 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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finetune epoch 011: train_loss=0.7093 val_loss=1.0157 train_bal_acc=0.7910 train_f1=0.7961 val_acc=0.6574 val_bal_acc=0.3954 val_f1=0.4084 val_dice=0.4084 val_top3=0.9332 selected=raw
Saved last checkpoint: phase=finetune epoch=011 f1_macro=0.4084 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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finetune epoch 012: train_loss=0.6541 val_loss=1.0722 train_bal_acc=0.8149 train_f1=0.8162 val_acc=0.6574 val_bal_acc=0.4035 val_f1=0.4091 val_dice=0.4091 val_top3=0.9208 selected=raw
Saved last checkpoint: phase=finetune epoch=012 f1_macro=0.4091 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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finetune epoch 013: train_loss=0.5852 val_loss=1.0361 train_bal_acc=0.8277 train_f1=0.8332 val_acc=0.6651 val_bal_acc=0.4136 val_f1=0.4132 val_dice=0.4132 val_top3=0.9208 selected=raw
Saved last checkpoint: phase=finetune epoch=013 f1_macro=0.4132 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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finetune epoch 014: train_loss=0.5532 val_loss=1.0261 train_bal_acc=0.8450 train_f1=0.8482 val_acc=0.6775 val_bal_acc=0.4136 val_f1=0.4337 val_dice=0.4337 val_top3=0.9294 selected=raw
Saved last checkpoint: phase=finetune epoch=014 f1_macro=0.4337 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt

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finetune epoch 015: train_loss=0.5697 val_loss=0.9896 train_bal_acc=0.8363 train_f1=0.8389 val_acc=0.6985 val_bal_acc=0.4070 val_f1=0.4134 val_dice=0.4134 val_top3=0.9342 selected=raw
Saved last checkpoint: phase=finetune epoch=015 f1_macro=0.4134 path=/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/last.pt
Early stopping finetune at epoch 15
Selected deployment variant=raw from best_raw.pt, temperature=1.0000
Done: best_val_f1_macro=0.4381, val_acc=0.6641, balanced_acc=0.4329, f1_macro=0.4381, top3=0.9189, auc_macro=0.8857308386990298