running 11 configs: ['xgboost', 'tabular_mlp', 'resnet50', 'densenet2p5d', 'resnet3d', 'vit_b16', 'swin3d', 'hcct', 'vswin_lite', 'densenet_latefusion', 'trifuse_ad'] ===== xgboost (xgboost, tabular) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [xgboost] macro_f1 = 0.4743 ± 0.0650 (CI 0.435-0.523) ===== tabular_mlp (tabular_mlp, tabular) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [tabular_mlp] seed=7 fold=0 macro_f1=0.1891 [tabular_mlp] seed=7 fold=1 macro_f1=0.2723 [tabular_mlp] seed=7 fold=2 macro_f1=0.5321 [tabular_mlp] seed=7 fold=3 macro_f1=0.5365 [tabular_mlp] seed=7 fold=4 macro_f1=0.4031 [tabular_mlp] seed=13 fold=0 macro_f1=0.4509 [tabular_mlp] seed=13 fold=1 macro_f1=0.5111 [tabular_mlp] seed=13 fold=2 macro_f1=0.4028 [tabular_mlp] seed=13 fold=3 macro_f1=0.3492 [tabular_mlp] seed=13 fold=4 macro_f1=0.3580 [tabular_mlp] seed=21 fold=0 macro_f1=0.2584 [tabular_mlp] seed=21 fold=1 macro_f1=0.4616 [tabular_mlp] seed=21 fold=2 macro_f1=0.3692 [tabular_mlp] seed=21 fold=3 macro_f1=0.3542 [tabular_mlp] seed=21 fold=4 macro_f1=0.3939 [tabular_mlp] macro_f1 = 0.3895 ± 0.0971 (CI 0.362-0.444) ===== resnet50 (resnet50, slice2d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. [resnet50] seed=7 fold=0 macro_f1=0.3198 [resnet50] seed=7 fold=1 macro_f1=0.3659 [resnet50] seed=7 fold=2 macro_f1=0.4766 [resnet50] seed=7 fold=3 macro_f1=0.3403 [resnet50] seed=7 fold=4 macro_f1=0.4348 [resnet50] seed=13 fold=0 macro_f1=0.5054 [resnet50] seed=13 fold=1 macro_f1=0.3850 [resnet50] seed=13 fold=2 macro_f1=0.3545 [resnet50] seed=13 fold=3 macro_f1=0.3159 [resnet50] seed=13 fold=4 macro_f1=0.2200 [resnet50] seed=21 fold=0 macro_f1=0.3168 [resnet50] seed=21 fold=1 macro_f1=0.2862 [resnet50] seed=21 fold=2 macro_f1=0.4609 [resnet50] seed=21 fold=3 macro_f1=0.3896 [resnet50] seed=21 fold=4 macro_f1=0.3537 [resnet50] macro_f1 = 0.3684 ± 0.0739 (CI 0.353-0.432) ===== densenet2p5d (densenet2p5d, slice25d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [densenet2p5d] seed=7 fold=0 macro_f1=0.4249 [densenet2p5d] seed=7 fold=1 macro_f1=0.5217 [densenet2p5d] seed=7 fold=2 macro_f1=0.3352 [densenet2p5d] seed=7 fold=3 macro_f1=0.5045 [densenet2p5d] seed=7 fold=4 macro_f1=0.5915 [densenet2p5d] seed=13 fold=0 macro_f1=0.5159 [densenet2p5d] seed=13 fold=1 macro_f1=0.4609 [densenet2p5d] seed=13 fold=2 macro_f1=0.4156 running 11 configs: ['xgboost', 'tabular_mlp', 'resnet50', 'densenet2p5d', 'resnet3d', 'vit_b16', 'swin3d', 'hcct', 'vswin_lite', 'densenet_latefusion', 'trifuse_ad'] [skip] xgboost (summary.json exists) [skip] tabular_mlp (summary.json exists) [skip] resnet50 (summary.json exists) ===== densenet2p5d (densenet2p5d, slice25d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. [densenet2p5d] seed=7 fold=0 macro_f1=0.4249 [densenet2p5d] seed=7 fold=1 macro_f1=0.5217 [densenet2p5d] seed=7 fold=2 macro_f1=0.3352 [densenet2p5d] seed=7 fold=3 macro_f1=0.5045 [densenet2p5d] seed=7 fold=4 macro_f1=0.5915 [densenet2p5d] seed=13 fold=0 macro_f1=0.5159 [densenet2p5d] seed=13 fold=1 macro_f1=0.4609 [densenet2p5d] seed=13 fold=2 macro_f1=0.4156 running 11 configs: ['xgboost', 'tabular_mlp', 'resnet50', 'densenet2p5d', 'resnet3d', 'vit_b16', 'swin3d', 'hcct', 'vswin_lite', 'densenet_latefusion', 'trifuse_ad'] [skip] xgboost (summary.json exists) [skip] tabular_mlp (summary.json exists) [skip] resnet50 (summary.json exists) ===== densenet2p5d (densenet2p5d, slice25d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [densenet2p5d] seed=7 fold=0 macro_f1=0.4249 [densenet2p5d] seed=7 fold=1 macro_f1=0.5217 Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. [densenet2p5d] seed=7 fold=2 macro_f1=0.3352 [densenet2p5d] seed=7 fold=3 macro_f1=0.5045 [densenet2p5d] seed=7 fold=4 macro_f1=0.5915 [densenet2p5d] seed=13 fold=0 macro_f1=0.5159 [densenet2p5d] seed=13 fold=1 macro_f1=0.4609 [densenet2p5d] seed=13 fold=2 macro_f1=0.4156 [densenet2p5d] seed=13 fold=3 macro_f1=0.4863 [densenet2p5d] seed=13 fold=4 macro_f1=0.4020 [densenet2p5d] seed=21 fold=0 macro_f1=0.3657 [densenet2p5d] seed=21 fold=1 macro_f1=0.5105 [densenet2p5d] seed=21 fold=2 macro_f1=0.2963 [densenet2p5d] seed=21 fold=3 macro_f1=0.4099 [densenet2p5d] seed=21 fold=4 macro_f1=0.5007 [densenet2p5d] macro_f1 = 0.4494 ± 0.0774 (CI 0.413-0.496) ===== resnet3d (resnet3d, vol3d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [resnet3d] seed=7 fold=0 macro_f1=0.3517 [resnet3d] seed=7 fold=1 macro_f1=0.2828 [resnet3d] seed=7 fold=2 macro_f1=0.3434 [resnet3d] seed=7 fold=3 macro_f1=0.2705 [resnet3d] seed=7 fold=4 macro_f1=0.4074 [resnet3d] seed=13 fold=0 macro_f1=0.3299 [resnet3d] seed=13 fold=1 macro_f1=0.2222 [resnet3d] seed=13 fold=2 macro_f1=0.3730 [resnet3d] seed=13 fold=3 macro_f1=0.4294 [resnet3d] seed=13 fold=4 macro_f1=0.4074 [resnet3d] seed=21 fold=0 macro_f1=0.5055 [resnet3d] seed=21 fold=1 macro_f1=0.3049 [resnet3d] seed=21 fold=2 macro_f1=0.3197 [resnet3d] seed=21 fold=3 macro_f1=0.3782 [resnet3d] seed=21 fold=4 macro_f1=0.3906 [resnet3d] macro_f1 = 0.3544 ± 0.0685 (CI 0.364-0.447) ===== vit_b16 (vit2d, slice25d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [vit_b16] seed=7 fold=0 macro_f1=0.4654 [vit_b16] seed=7 fold=1 macro_f1=0.4439 [vit_b16] seed=7 fold=2 macro_f1=0.2184 [vit_b16] seed=7 fold=3 macro_f1=0.5093 [vit_b16] seed=7 fold=4 macro_f1=0.5738 [vit_b16] seed=13 fold=0 macro_f1=0.5654 [vit_b16] seed=13 fold=1 macro_f1=0.5490 [vit_b16] seed=13 fold=2 macro_f1=0.4998 [vit_b16] seed=13 fold=3 macro_f1=0.3871 [vit_b16] seed=13 fold=4 macro_f1=0.5200 [vit_b16] seed=21 fold=0 macro_f1=0.4429 [vit_b16] seed=21 fold=1 macro_f1=0.4290 [vit_b16] seed=21 fold=2 macro_f1=0.4490 [vit_b16] seed=21 fold=3 macro_f1=0.4721 [vit_b16] seed=21 fold=4 macro_f1=0.4054 [vit_b16] macro_f1 = 0.4620 ± 0.0849 (CI 0.442-0.527) ===== swin3d (swin3d, vol3d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [swin3d] seed=7 fold=0 macro_f1=0.4606 [swin3d] seed=7 fold=1 macro_f1=0.4390 [swin3d] seed=7 fold=2 macro_f1=0.2105 [swin3d] seed=7 fold=3 macro_f1=0.3511 [swin3d] seed=7 fold=4 macro_f1=0.4152 [swin3d] seed=13 fold=0 macro_f1=0.4647 [swin3d] seed=13 fold=1 macro_f1=0.5334 [swin3d] seed=13 fold=2 macro_f1=0.3298 [swin3d] seed=13 fold=3 macro_f1=0.4236 [swin3d] seed=13 fold=4 macro_f1=0.4530 [swin3d] seed=21 fold=0 macro_f1=0.3556 [swin3d] seed=21 fold=1 macro_f1=0.4566 [swin3d] seed=21 fold=2 macro_f1=0.3777 [swin3d] seed=21 fold=3 macro_f1=0.5104 [swin3d] seed=21 fold=4 macro_f1=0.2694 [swin3d] macro_f1 = 0.4034 ± 0.0852 (CI 0.392-0.477) ===== hcct (hcct, vol3d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=7 fold=0 macro_f1=0.3651 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=7 fold=1 macro_f1=0.4130 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=7 fold=2 macro_f1=0.4360 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=7 fold=3 macro_f1=0.5555 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=7 fold=4 macro_f1=0.4519 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=13 fold=0 macro_f1=0.4212 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=13 fold=1 macro_f1=0.3673 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=13 fold=2 macro_f1=0.3458 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=13 fold=3 macro_f1=0.3880 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=13 fold=4 macro_f1=0.3235 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=21 fold=0 macro_f1=0.4054 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=21 fold=1 macro_f1=0.3263 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=21 fold=2 macro_f1=0.4112 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=21 fold=3 macro_f1=0.5960 /root/al/src/trifuse/models/hybrids.py:51: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_layers) [hcct] seed=21 fold=4 macro_f1=0.3056 [hcct] macro_f1 = 0.4074 ± 0.0783 (CI 0.407-0.495) ===== vswin_lite (vswin_lite, vol3d) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [vswin_lite] seed=7 fold=0 macro_f1=0.3377 [vswin_lite] seed=7 fold=1 macro_f1=0.4872 [vswin_lite] seed=7 fold=2 macro_f1=0.3451 [vswin_lite] seed=7 fold=3 macro_f1=0.3702 [vswin_lite] seed=7 fold=4 macro_f1=0.4873 [vswin_lite] seed=13 fold=0 macro_f1=0.4432 [vswin_lite] seed=13 fold=1 macro_f1=0.1818 [vswin_lite] seed=13 fold=2 macro_f1=0.2694 [vswin_lite] seed=13 fold=3 macro_f1=0.3043 [vswin_lite] seed=13 fold=4 macro_f1=0.2978 [vswin_lite] seed=21 fold=0 macro_f1=0.3058 [vswin_lite] seed=21 fold=1 macro_f1=0.3639 [vswin_lite] seed=21 fold=2 macro_f1=0.3855 [vswin_lite] seed=21 fold=3 macro_f1=0.3327 [vswin_lite] seed=21 fold=4 macro_f1=0.3979 [vswin_lite] macro_f1 = 0.3540 ± 0.0784 (CI 0.348-0.431) ===== densenet_latefusion (densenet_latefusion, multimodal) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( [densenet_latefusion] seed=7 fold=0 macro_f1=0.4480 [densenet_latefusion] seed=7 fold=1 macro_f1=0.5078 [densenet_latefusion] seed=7 fold=2 macro_f1=0.3819 [densenet_latefusion] seed=7 fold=3 macro_f1=0.4678 [densenet_latefusion] seed=7 fold=4 macro_f1=0.6058 [densenet_latefusion] seed=13 fold=0 macro_f1=0.4865 [densenet_latefusion] seed=13 fold=1 macro_f1=0.4376 [densenet_latefusion] seed=13 fold=2 macro_f1=0.5164 [densenet_latefusion] seed=13 fold=3 macro_f1=0.4551 [densenet_latefusion] seed=13 fold=4 macro_f1=0.4613 [densenet_latefusion] seed=21 fold=0 macro_f1=0.4766 [densenet_latefusion] seed=21 fold=1 macro_f1=0.5592 [densenet_latefusion] seed=21 fold=2 macro_f1=0.4740 [densenet_latefusion] seed=21 fold=3 macro_f1=0.5727 [densenet_latefusion] seed=21 fold=4 macro_f1=0.6025 [densenet_latefusion] macro_f1 = 0.4969 ± 0.0617 (CI 0.459-0.543) ===== trifuse_ad (trifuse, multimodal) ===== /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /venv/main/lib/python3.12/site-packages/sklearn/model_selection/_split.py:812: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5. warnings.warn( /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=7 fold=0 macro_f1=0.3993 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=7 fold=1 macro_f1=0.6047 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=7 fold=2 macro_f1=0.4310 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=7 fold=3 macro_f1=0.5166 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=7 fold=4 macro_f1=0.4892 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=13 fold=0 macro_f1=0.4513 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=13 fold=1 macro_f1=0.4915 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=13 fold=2 macro_f1=0.4481 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=13 fold=3 macro_f1=0.3993 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=13 fold=4 macro_f1=0.4281 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=21 fold=0 macro_f1=0.4371 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=21 fold=1 macro_f1=0.5744 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=21 fold=2 macro_f1=0.5033 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=21 fold=3 macro_f1=0.5751 /root/al/src/trifuse/models/trifuse.py:82: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.norm_first was True self.transformer = nn.TransformerEncoder(layer, num_layers=n_transformer_layers) [trifuse_ad] seed=21 fold=4 macro_f1=0.5714 [trifuse_ad] macro_f1 = 0.4880 ± 0.0657 (CI 0.458-0.540)