singleenc_canvas_nometa_clean.train.log

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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_canvas_nometa_clean
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=True, freeze_metadata_head=False, metadata_lr=None, metadata_fusion=concat, image_fusion=single_encoder_canvas, gate_hidden_dim=64
Loss: ce, class_weight=False, weighted_sampler=False, balance_mode=none

Phase: finetune, epochs=40, encoders_trainable=True

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finetune epoch 001: train_loss=1.3443 val_loss=1.0954 train_bal_acc=0.1979 train_f1=0.1914 val_acc=0.6221 val_bal_acc=0.2619 val_f1=0.2516 val_dice=0.2516 val_top3=0.8922 selected=raw
Saved best raw: f1_macro=0.2516
Saved best checkpoint: phase=finetune epoch=001 best_f1_macro=0.2516 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=001 f1_macro=0.2516 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 002: train_loss=1.0702 val_loss=1.0179 train_bal_acc=0.2538 train_f1=0.2589 val_acc=0.6469 val_bal_acc=0.3046 val_f1=0.3082 val_dice=0.3082 val_top3=0.9074 selected=raw
Saved best raw: f1_macro=0.3082
Saved best checkpoint: phase=finetune epoch=002 best_f1_macro=0.3082 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=002 f1_macro=0.3082 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 003: train_loss=0.9776 val_loss=0.9459 train_bal_acc=0.2986 train_f1=0.3134 val_acc=0.6765 val_bal_acc=0.3382 val_f1=0.3388 val_dice=0.3388 val_top3=0.9170 selected=raw
Saved best raw: f1_macro=0.3388
Saved best checkpoint: phase=finetune epoch=003 best_f1_macro=0.3388 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=003 f1_macro=0.3388 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 004: train_loss=0.9217 val_loss=0.9136 train_bal_acc=0.3520 train_f1=0.3704 val_acc=0.6927 val_bal_acc=0.3520 val_f1=0.3546 val_dice=0.3546 val_top3=0.9246 selected=raw
Saved best raw: f1_macro=0.3546
Saved best checkpoint: phase=finetune epoch=004 best_f1_macro=0.3546 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=004 f1_macro=0.3546 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 005: train_loss=0.8723 val_loss=0.8917 train_bal_acc=0.3888 train_f1=0.4225 val_acc=0.6899 val_bal_acc=0.3572 val_f1=0.3539 val_dice=0.3539 val_top3=0.9284 selected=raw
Saved last checkpoint: phase=finetune epoch=005 f1_macro=0.3539 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 006: train_loss=0.8199 val_loss=0.8869 train_bal_acc=0.3944 train_f1=0.4232 val_acc=0.7032 val_bal_acc=0.3781 val_f1=0.3772 val_dice=0.3772 val_top3=0.9351 selected=raw
Saved best raw: f1_macro=0.3772
Saved best checkpoint: phase=finetune epoch=006 best_f1_macro=0.3772 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=006 f1_macro=0.3772 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 007: train_loss=0.7762 val_loss=0.8755 train_bal_acc=0.4497 train_f1=0.4855 val_acc=0.7042 val_bal_acc=0.3813 val_f1=0.3734 val_dice=0.3734 val_top3=0.9342 selected=raw
Saved last checkpoint: phase=finetune epoch=007 f1_macro=0.3734 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 008: train_loss=0.7274 val_loss=0.8814 train_bal_acc=0.4826 train_f1=0.5166 val_acc=0.6899 val_bal_acc=0.3850 val_f1=0.3777 val_dice=0.3777 val_top3=0.9389 selected=raw
Saved best raw: f1_macro=0.3777
Saved best checkpoint: phase=finetune epoch=008 best_f1_macro=0.3777 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=008 f1_macro=0.3777 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 009: train_loss=0.7013 val_loss=0.8899 train_bal_acc=0.4940 train_f1=0.5276 val_acc=0.7023 val_bal_acc=0.4138 val_f1=0.4143 val_dice=0.4143 val_top3=0.9456 selected=raw
Saved best raw: f1_macro=0.4143
Saved best checkpoint: phase=finetune epoch=009 best_f1_macro=0.4143 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=009 f1_macro=0.4143 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 010: train_loss=0.6537 val_loss=0.9178 train_bal_acc=0.5385 train_f1=0.5711 val_acc=0.7071 val_bal_acc=0.3929 val_f1=0.4020 val_dice=0.4020 val_top3=0.9418 selected=raw
Saved last checkpoint: phase=finetune epoch=010 f1_macro=0.4020 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 011: train_loss=0.6281 val_loss=0.8889 train_bal_acc=0.5555 train_f1=0.5924 val_acc=0.7128 val_bal_acc=0.4224 val_f1=0.4339 val_dice=0.4339 val_top3=0.9427 selected=raw
Saved best raw: f1_macro=0.4339
Saved best checkpoint: phase=finetune epoch=011 best_f1_macro=0.4339 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=011 f1_macro=0.4339 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 012: train_loss=0.6058 val_loss=0.8999 train_bal_acc=0.5699 train_f1=0.6025 val_acc=0.6985 val_bal_acc=0.4029 val_f1=0.4130 val_dice=0.4130 val_top3=0.9437 selected=raw
Saved last checkpoint: phase=finetune epoch=012 f1_macro=0.4130 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 013: train_loss=0.5749 val_loss=0.8983 train_bal_acc=0.5893 train_f1=0.6322 val_acc=0.7185 val_bal_acc=0.4110 val_f1=0.4297 val_dice=0.4297 val_top3=0.9427 selected=raw
Saved last checkpoint: phase=finetune epoch=013 f1_macro=0.4297 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 014: train_loss=0.5415 val_loss=0.9292 train_bal_acc=0.6070 train_f1=0.6409 val_acc=0.7271 val_bal_acc=0.4277 val_f1=0.4521 val_dice=0.4521 val_top3=0.9361 selected=raw
Saved best raw: f1_macro=0.4521
Saved best checkpoint: phase=finetune epoch=014 best_f1_macro=0.4521 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=014 f1_macro=0.4521 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 015: train_loss=0.5035 val_loss=0.9603 train_bal_acc=0.6474 train_f1=0.6750 val_acc=0.7176 val_bal_acc=0.4035 val_f1=0.4158 val_dice=0.4158 val_top3=0.9380 selected=raw
Saved last checkpoint: phase=finetune epoch=015 f1_macro=0.4158 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 016: train_loss=0.5161 val_loss=0.9961 train_bal_acc=0.6306 train_f1=0.6609 val_acc=0.7261 val_bal_acc=0.4106 val_f1=0.4358 val_dice=0.4358 val_top3=0.9380 selected=raw
Saved last checkpoint: phase=finetune epoch=016 f1_macro=0.4358 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 017: train_loss=0.4767 val_loss=1.0261 train_bal_acc=0.6596 train_f1=0.6966 val_acc=0.7185 val_bal_acc=0.4292 val_f1=0.4376 val_dice=0.4376 val_top3=0.9323 selected=raw
Saved last checkpoint: phase=finetune epoch=017 f1_macro=0.4376 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 018: train_loss=0.4111 val_loss=1.0106 train_bal_acc=0.6943 train_f1=0.7205 val_acc=0.7281 val_bal_acc=0.4273 val_f1=0.4470 val_dice=0.4470 val_top3=0.9332 selected=raw
Saved last checkpoint: phase=finetune epoch=018 f1_macro=0.4470 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 019: train_loss=0.3832 val_loss=1.0155 train_bal_acc=0.7129 train_f1=0.7383 val_acc=0.7166 val_bal_acc=0.4326 val_f1=0.4357 val_dice=0.4357 val_top3=0.9399 selected=raw
Saved last checkpoint: phase=finetune epoch=019 f1_macro=0.4357 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 020: train_loss=0.4022 val_loss=1.0144 train_bal_acc=0.7266 train_f1=0.7481 val_acc=0.7204 val_bal_acc=0.4426 val_f1=0.4572 val_dice=0.4572 val_top3=0.9361 selected=raw
Saved best raw: f1_macro=0.4572
Saved best checkpoint: phase=finetune epoch=020 best_f1_macro=0.4572 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/best.pt
Saved last checkpoint: phase=finetune epoch=020 f1_macro=0.4572 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 021: train_loss=0.3857 val_loss=1.0233 train_bal_acc=0.7259 train_f1=0.7520 val_acc=0.7290 val_bal_acc=0.4285 val_f1=0.4542 val_dice=0.4542 val_top3=0.9380 selected=raw
Saved last checkpoint: phase=finetune epoch=021 f1_macro=0.4542 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 022: train_loss=0.3905 val_loss=1.0264 train_bal_acc=0.7355 train_f1=0.7659 val_acc=0.7204 val_bal_acc=0.4375 val_f1=0.4572 val_dice=0.4572 val_top3=0.9313 selected=raw
Saved last checkpoint: phase=finetune epoch=022 f1_macro=0.4572 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 023: train_loss=0.3789 val_loss=1.0494 train_bal_acc=0.7304 train_f1=0.7699 val_acc=0.7195 val_bal_acc=0.4353 val_f1=0.4420 val_dice=0.4420 val_top3=0.9370 selected=raw
Saved last checkpoint: phase=finetune epoch=023 f1_macro=0.4420 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 024: train_loss=0.3553 val_loss=1.0572 train_bal_acc=0.7332 train_f1=0.7609 val_acc=0.7223 val_bal_acc=0.4274 val_f1=0.4472 val_dice=0.4472 val_top3=0.9294 selected=raw
Saved last checkpoint: phase=finetune epoch=024 f1_macro=0.4472 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 025: train_loss=0.3462 val_loss=1.0493 train_bal_acc=0.7420 train_f1=0.7635 val_acc=0.7176 val_bal_acc=0.4322 val_f1=0.4444 val_dice=0.4444 val_top3=0.9332 selected=raw
Saved last checkpoint: phase=finetune epoch=025 f1_macro=0.4444 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt

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finetune epoch 026: train_loss=0.3505 val_loss=1.0337 train_bal_acc=0.7349 train_f1=0.7648 val_acc=0.7109 val_bal_acc=0.4181 val_f1=0.4365 val_dice=0.4365 val_top3=0.9323 selected=raw
Saved last checkpoint: phase=finetune epoch=026 f1_macro=0.4365 path=/marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean/last.pt
Early stopping finetune at epoch 26
Selected deployment variant=raw from best_raw.pt, temperature=1.0000
Done: best_val_f1_macro=0.4572, val_acc=0.7204, balanced_acc=0.4426, f1_macro=0.4572, top3=0.9361, auc_macro=0.8749101635994393