running 6 configs: ['abl_A1_axial', 'abl_A2_meanpool', 'abl_A3_nometa', 'abl_A4_concat', 'abl_A5_weightedce', 'abl_full'] ===== abl_A1_axial (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) [abl_A1_axial] seed=7 fold=0 macro_f1=0.3806 Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. /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) [abl_A1_axial] seed=7 fold=1 macro_f1=0.5581 /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) [abl_A1_axial] seed=7 fold=2 macro_f1=0.4512 /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) [abl_A1_axial] seed=7 fold=3 macro_f1=0.4726 /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) [abl_A1_axial] seed=7 fold=4 macro_f1=0.5141 /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) [abl_A1_axial] seed=13 fold=0 macro_f1=0.5078 /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) [abl_A1_axial] seed=13 fold=1 macro_f1=0.5330 /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) [abl_A1_axial] seed=13 fold=2 macro_f1=0.5180 /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) [abl_A1_axial] seed=13 fold=3 macro_f1=0.3980 /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) [abl_A1_axial] seed=13 fold=4 macro_f1=0.2990 /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) [abl_A1_axial] seed=21 fold=0 macro_f1=0.4534 /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) [abl_A1_axial] seed=21 fold=1 macro_f1=0.5390 /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) [abl_A1_axial] seed=21 fold=2 macro_f1=0.4597 /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) [abl_A1_axial] seed=21 fold=3 macro_f1=0.5629 /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) [abl_A1_axial] seed=21 fold=4 macro_f1=0.5077 [abl_A1_axial] macro_f1 = 0.4770 ± 0.0705 (CI 0.443-0.527) ===== abl_A2_meanpool (trifuse_meanpool, 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( [abl_A2_meanpool] seed=7 fold=0 macro_f1=0.5310 [abl_A2_meanpool] seed=7 fold=1 macro_f1=0.5057 [abl_A2_meanpool] seed=7 fold=2 macro_f1=0.3913 [abl_A2_meanpool] seed=7 fold=3 macro_f1=0.4712 [abl_A2_meanpool] seed=7 fold=4 macro_f1=0.3463 [abl_A2_meanpool] seed=13 fold=0 macro_f1=0.4879 [abl_A2_meanpool] seed=13 fold=1 macro_f1=0.4030 [abl_A2_meanpool] seed=13 fold=2 macro_f1=0.5204 [abl_A2_meanpool] seed=13 fold=3 macro_f1=0.5053 [abl_A2_meanpool] seed=13 fold=4 macro_f1=0.4639 [abl_A2_meanpool] seed=21 fold=0 macro_f1=0.3321 [abl_A2_meanpool] seed=21 fold=1 macro_f1=0.5444 [abl_A2_meanpool] seed=21 fold=2 macro_f1=0.3201 [abl_A2_meanpool] seed=21 fold=3 macro_f1=0.5753 [abl_A2_meanpool] seed=21 fold=4 macro_f1=0.5746 [abl_A2_meanpool] macro_f1 = 0.4648 ± 0.0832 (CI 0.437-0.520) ===== abl_A3_nometa (trifuse_nometa, 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) [abl_A3_nometa] seed=7 fold=0 macro_f1=0.3938 /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) [abl_A3_nometa] seed=7 fold=1 macro_f1=0.5495 /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) [abl_A3_nometa] seed=7 fold=2 macro_f1=0.4647 /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) [abl_A3_nometa] seed=7 fold=3 macro_f1=0.4259 /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) [abl_A3_nometa] seed=7 fold=4 macro_f1=0.5252 /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) [abl_A3_nometa] seed=13 fold=0 macro_f1=0.5054 /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) [abl_A3_nometa] seed=13 fold=1 macro_f1=0.3634 /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) [abl_A3_nometa] seed=13 fold=2 macro_f1=0.3882 /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) [abl_A3_nometa] seed=13 fold=3 macro_f1=0.2184 /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) [abl_A3_nometa] seed=13 fold=4 macro_f1=0.2138 /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) [abl_A3_nometa] seed=21 fold=0 macro_f1=0.2596 /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) [abl_A3_nometa] seed=21 fold=1 macro_f1=0.3425 /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) [abl_A3_nometa] seed=21 fold=2 macro_f1=0.3149 /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) [abl_A3_nometa] seed=21 fold=3 macro_f1=0.4012 /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) [abl_A3_nometa] seed=21 fold=4 macro_f1=0.4864 [abl_A3_nometa] macro_f1 = 0.3902 ± 0.1031 (CI 0.386-0.473) ===== abl_A4_concat (trifuse_concat, 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) [abl_A4_concat] seed=7 fold=0 macro_f1=0.3974 /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) [abl_A4_concat] seed=7 fold=1 macro_f1=0.4757 /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) [abl_A4_concat] seed=7 fold=2 macro_f1=0.4291 /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) [abl_A4_concat] seed=7 fold=3 macro_f1=0.5150 /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) [abl_A4_concat] seed=7 fold=4 macro_f1=0.5978 /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) [abl_A4_concat] seed=13 fold=0 macro_f1=0.5378 /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) [abl_A4_concat] seed=13 fold=1 macro_f1=0.4986 /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) [abl_A4_concat] seed=13 fold=2 macro_f1=0.4590 /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) [abl_A4_concat] seed=13 fold=3 macro_f1=0.4832 /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) [abl_A4_concat] seed=13 fold=4 macro_f1=0.4228 /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) [abl_A4_concat] seed=21 fold=0 macro_f1=0.4534 /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) [abl_A4_concat] seed=21 fold=1 macro_f1=0.5196 /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) [abl_A4_concat] seed=21 fold=2 macro_f1=0.4942 /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) [abl_A4_concat] seed=21 fold=3 macro_f1=0.5678 /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) [abl_A4_concat] seed=21 fold=4 macro_f1=0.4593 [abl_A4_concat] macro_f1 = 0.4874 ± 0.0528 (CI 0.460-0.543) ===== abl_A5_weightedce (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) [abl_A5_weightedce] seed=7 fold=0 macro_f1=0.4202 /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) [abl_A5_weightedce] seed=7 fold=1 macro_f1=0.4925 /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) [abl_A5_weightedce] seed=7 fold=2 macro_f1=0.4755 /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) [abl_A5_weightedce] seed=7 fold=3 macro_f1=0.4872 /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) [abl_A5_weightedce] seed=7 fold=4 macro_f1=0.5448 /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) [abl_A5_weightedce] seed=13 fold=0 macro_f1=0.5078 /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) [abl_A5_weightedce] seed=13 fold=1 macro_f1=0.4724 /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) [abl_A5_weightedce] seed=13 fold=2 macro_f1=0.5381 /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) [abl_A5_weightedce] seed=13 fold=3 macro_f1=0.5643 /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) [abl_A5_weightedce] seed=13 fold=4 macro_f1=0.3980 /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) [abl_A5_weightedce] seed=21 fold=0 macro_f1=0.4510 /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) [abl_A5_weightedce] seed=21 fold=1 macro_f1=0.5052 /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) [abl_A5_weightedce] seed=21 fold=2 macro_f1=0.4770 /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) [abl_A5_weightedce] seed=21 fold=3 macro_f1=0.5579 /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) [abl_A5_weightedce] seed=21 fold=4 macro_f1=0.6104 [abl_A5_weightedce] macro_f1 = 0.5002 ± 0.0545 (CI 0.458-0.544) ===== abl_full (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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] 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) [abl_full] seed=21 fold=4 macro_f1=0.5714 [abl_full] macro_f1 = 0.4880 ± 0.0657 (CI 0.458-0.540)