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Guuuu11 / FC-HGNN_Pytorch

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运行错误：IndexError: index 110 is out of bounds for dimension 0 with size 110 #2

Open cibimo opened 2 weeks ago

cibimo commented 2 weeks ago

我是一名学生，想要复现文章的代码，我按照代码中的注释使用 BrainGNN_Pytorch 项目中的 01-fetch_data.py 下载了 ABIDE 数据集的 pipeline: cpac，atlas: ho 的数据，将下载的数据放在了 ./input/data/ 文件夹，我将 Phenotypic_V1_0b_preprocessed1.csv 中创建了 Group 列，等于 DX_GROUP 减1，另存为了 phenotypic_information.csv，文件结构如下：

.
├── data
│   ├── 50003
│   │   ├── 50003_ho_correlation.mat
│   │   ├── 50003_ho_partial_correlation.mat
│   │   └── Pitt_0050003_rois_ho.1D
│   ├── 50004
│   │   ├── 50004_ho_correlation.mat
│   │   ├── 50004_ho_partial_correlation.mat
│   │   └── Pitt_0050004_rois_ho.1D
......
│   └── 51607
│       ├── 51607_ho_correlation.mat
│       ├── 51607_ho_partial_correlation.mat
│       └── MaxMun_a_0051607_rois_ho.1D
├── phenotypic_information.csv
└── subjects.txt

之后修改了 opt.py 里的 default 值后运行了 main.py 但得到以下报错：

 Using GPU in torch
==========       CONFIG      =============
train:1
use_cpu:False
lr:0.01
wd:5e-05
num_iter:400
dropout:0.3
num_classes:2
n_folds:10
ckpt_path:./
log_path:./inffus_log.txt
subject_IDs_path:./input/subjects.txt
phenotype_path:./input/phenotypic_information.csv
data_path:./input/data
alpha:0.65
beta:1.5
k1:0.9
k2:0.5
time:241110
device:cuda:0
==========     CONFIG END    =============

===> Phase is train.
 Using GPU in torch
==========       CONFIG      =============
train:1
use_cpu:False
lr:0.01
wd:5e-05
num_iter:400
dropout:0.3
num_classes:2
n_folds:10
ckpt_path:./
log_path:./inffus_log.txt
subject_IDs_path:./input/subjects.txt
phenotype_path:./input/phenotypic_information.csv
data_path:./input/data
alpha:0.65
beta:1.5
k1:0.9
k2:0.5
time:241110
device:cuda:0
==========     CONFIG END    =============

===> Phase is train.
 Using GPU in torch
==========       CONFIG      =============
train:1
use_cpu:False
lr:0.01
wd:5e-05
num_iter:400
dropout:0.3
num_classes:2
n_folds:10
ckpt_path:./
log_path:./inffus_log.txt
subject_IDs_path:./input/subjects.txt
phenotype_path:./input/phenotypic_information.csv
data_path:./input/data
alpha:0.65
beta:1.5
k1:0.9
k2:0.5
time:241110
device:cuda:0
==========     CONFIG END    =============

===> Phase is train.
 Using GPU in torch
==========       CONFIG      =============
train:1
use_cpu:False
lr:0.01
wd:5e-05
num_iter:400
dropout:0.3
num_classes:2
n_folds:10
ckpt_path:./
log_path:./inffus_log.txt
subject_IDs_path:./input/subjects.txt
phenotype_path:./input/phenotypic_information.csv
data_path:./input/data
alpha:0.65
beta:1.5
k1:0.9
k2:0.5
time:241110
device:cuda:0
==========     CONFIG END    =============

===> Phase is train.
/home/coder/Documents/FC-HGNN_Pytorch-main/graph.py:52: FutureWarning: adjacency_matrix will return a scipy.sparse array instead of a matrix in Networkx 3.0.
  A = np.array(nx.adjacency_matrix(a_graph).todense())

========================== Fold 0 ==========================

========================== Fold 0 ==========================
fc_hgnn(
  (individual_graph_model): Brain_connectomic_graph(
    (graph_convolution_l_1): GCNConv(111, 64)
    (graph_convolution_r_1): GCNConv(111, 64)
    (graph_convolution_l_2): GCNConv(64, 20)
    (graph_convolution_r_2): GCNConv(64, 20)
    (graph_convolution_g_1): GCNConv(20, 20)
    (pooling_1): SAGPooling(GraphConv, 20, ratio=0.9, multiplier=1.0)
    (socre_gcn): ChebConv(20, 56, K=3, normalization=sym)
    (bns): BatchNorm1d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (population_graph_model): HPG(
    (convs1): ModuleList(
      (0): TransformerConv(2000, 20, heads=1)
      (1): TransformerConv(20, 20, heads=1)
      (2): TransformerConv(20, 20, heads=1)
      (3): TransformerConv(20, 20, heads=1)
    )
    (convs2): ModuleList(
      (0): TransformerConv(2000, 20, heads=1)
      (1): TransformerConv(20, 20, heads=1)
      (2): TransformerConv(20, 20, heads=1)
      (3): TransformerConv(20, 20, heads=1)
    )
    (bns): ModuleList(
      (0): BatchNorm1d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (1): BatchNorm1d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): BatchNorm1d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (3): BatchNorm1d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
    (out_fc): Linear(in_features=80, out_features=2, bias=True)
  )
)
Traceback (most recent call last):
  File "/home/coder/Documents/FC-HGNN_Pytorch-main/main.py", line 126, in <module>
    train()
  File "/home/coder/Documents/FC-HGNN_Pytorch-main/main.py", line 70, in train
    node_logits = model(raw_features)
  File "/root/anaconda3/envs/FCHGNN/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/coder/Documents/FC-HGNN_Pytorch-main/model.py", line 211, in forward
    embedding= self.individual_graph_model(graph)
  File "/root/anaconda3/envs/FCHGNN/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/coder/Documents/FC-HGNN_Pytorch-main/model.py", line 63, in forward
    new_left_edges,new_left_edge_attr = subgraph(subset=leftBrain.type(torch.long),edge_index=edges,edge_attr=edge_attr)
  File "/root/anaconda3/envs/FCHGNN/lib/python3.8/site-packages/torch_geometric/utils/subgraph.py", line 40, in subgraph
    n_mask[subset] = 1
IndexError: index 110 is out of bounds for dimension 0 with size 110

pip包版本列表：

ase==3.23.0
certifi==2024.8.30
charset-normalizer==3.4.0
contourpy==1.1.1
cycler==0.12.1
dataclasses==0.6
fonttools==4.54.1
future==1.0.0
googledrivedownloader==0.4
h5py==3.11.0
idna==3.10
importlib_metadata==8.5.0
importlib_resources==6.4.5
isodate==0.7.2
Jinja2==3.1.4
joblib==1.4.2
kiwisolver==1.4.7
llvmlite==0.41.1
MarkupSafe==2.1.5
matplotlib==3.7.5
networkx==2.8.8
numba==0.58.1
numpy==1.23.5
packaging==24.2
pandas==2.0.3
pillow==10.4.0
pyparsing==3.1.4
python-dateutil==2.9.0.post0
python-louvain==0.16
pytz==2024.2
rdflib==7.1.1
requests==2.32.3
scikit-learn==1.3.2
scipy==1.10.1
six==1.16.0
threadpoolctl==3.5.0
torch==1.7.0+cu110
torch-scatter==2.0.6
torch-sparse==0.6.9
torch_geometric==1.7.0
tqdm==4.67.0
typing_extensions==4.9.0
tzdata==2024.2
urllib3==2.2.3
zipp==3.20.2

希望能得到您的回复，万分感谢！

cibimo commented 2 weeks ago

我尝试把 model.py 里的

# Get a subgraph of the left and right hemispheres of the brain.
new_left_edges,new_left_edge_attr = subgraph(subset=leftBrain.type(torch.long),edge_index=edges,edge_attr=edge_attr)
new_right_dges,new_right_edge_attr = subgraph(subset=rightBrain.type(torch.long), edge_index=edges, edge_attr=edge_attr)

修改为了

# Get a subgraph of the left and right hemispheres of the brain.
new_left_edges,new_left_edge_attr = subgraph(subset=leftBrain.type(torch.long),edge_index=edges,edge_attr=edge_attr, num_nodes=111)
new_right_dges,new_right_edge_attr = subgraph(subset=rightBrain.type(torch.long), edge_index=edges, edge_attr=edge_attr, num_nodes=111)

后，能运行，得到的训练结果是

Epoch: 0,       ce loss: 0.72961,       ce loss_cla: 0.72961,   train acc: 0.48335,     test acc: 0.53846,  test spe: 0.29412,      test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=12, tm_sec=19, tm_wday=6, tm_yday=315, tm_isdst=0)
✔ Saved model to:./\inffus_fold0.pth
Epoch: 1,       ce loss: 0.71517,       ce loss_cla: 0.71517,   train acc: 0.53491,     test acc: 0.50962,      test spe: 0.00000,      test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=13, tm_sec=13, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 2,       ce loss: 0.69966,       ce loss_cla: 0.69966,   train acc: 0.52095,     test acc: 0.50962,      test spe: 1.00000,      test sen: 0.03774 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=14, tm_sec=8, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 3,       ce loss: 0.70456,       ce loss_cla: 0.70456,   train acc: 0.49409,     test acc: 0.50000,      test spe: 1.00000,      test sen: 0.01887 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=15, tm_sec=2, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 4,       ce loss: 0.70448,       ce loss_cla: 0.70448,   train acc: 0.48657,     test acc: 0.50962,      test spe: 1.00000,      test sen: 0.03774 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=15, tm_sec=57, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 5,       ce loss: 0.69778,       ce loss_cla: 0.69778,   train acc: 0.53706,     test acc: 0.50962,      test spe: 0.88235,      test sen: 0.15094 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=16, tm_sec=51, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 6,       ce loss: 0.69767,       ce loss_cla: 0.69767,   train acc: 0.51665,     test acc: 0.50962,      test spe: 0.00000,      test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=17, tm_sec=46, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 7,       ce loss: 0.69323,       ce loss_cla: 0.69323,   train acc: 0.53383,     test acc: 0.50962,      test spe: 0.00000,      test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=18, tm_sec=40, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 8,       ce loss: 0.69240,       ce loss_cla: 0.69240,   train acc: 0.52095,     test acc: 0.50962,      test spe: 0.00000,      test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=19, tm_sec=35, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 9,       ce loss: 0.69369,       ce loss_cla: 0.69369,   train acc: 0.52095,     test acc: 0.50000,      test spe: 0.00000,      test sen: 0.98113 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=20, tm_sec=29, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 10,      ce loss: 0.68903,       ce loss_cla: 0.68903,   train acc: 0.52954,     test acc: 0.49038,      test spe: 0.00000,      test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=21, tm_sec=24, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 11,      ce loss: 0.69224,       ce loss_cla: 0.69224,   train acc: 0.52524,     test acc: 0.49038,      test spe: 0.03922,      test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=22, tm_sec=17, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 12,      ce loss: 0.68972,       ce loss_cla: 0.68972,   train acc: 0.52417,     test acc: 0.50000,      test spe: 0.03922,      test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=23, tm_sec=11, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 13,      ce loss: 0.69338,       ce loss_cla: 0.69338,   train acc: 0.55317,     test acc: 0.51923,      test spe: 0.07843,      test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=24, tm_sec=6, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 14,      ce loss: 0.68661,       ce loss_cla: 0.68661,   train acc: 0.53276,     test acc: 0.50962,      test spe: 0.07843,      test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=25, tm_sec=0, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 15,      ce loss: 0.68805,       ce loss_cla: 0.68805,   train acc: 0.52954,     test acc: 0.52885,      test spe: 0.09804,      test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=25, tm_sec=55, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 16,      ce loss: 0.68700,       ce loss_cla: 0.68700,   train acc: 0.54135,     test acc: 0.49038,      test spe: 0.17647,      test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=26, tm_sec=49, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 17,      ce loss: 0.68580,       ce loss_cla: 0.68580,   train acc: 0.55747,     test acc: 0.50962,      test spe: 0.52941,      test sen: 0.49057 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=27, tm_sec=44, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 18,      ce loss: 0.68841,       ce loss_cla: 0.68841,   train acc: 0.54887,     test acc: 0.48077,      test spe: 0.70588,      test sen: 0.26415 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=28, tm_sec=39, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 19,      ce loss: 0.67969,       ce loss_cla: 0.67969,   train acc: 0.55747,     test acc: 0.50000,      test spe: 0.56863,      test sen: 0.43396 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=29, tm_sec=33, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 20,      ce loss: 0.67706,       ce loss_cla: 0.67706,   train acc: 0.57465,     test acc: 0.54808,      test spe: 0.41176,      test sen: 0.67925 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=30, tm_sec=28, tm_wday=6, tm_yday=315, tm_isdst=0)
✔ Saved model to:./\inffus_fold0.pth
Epoch: 21,      ce loss: 0.67664,       ce loss_cla: 0.67664,   train acc: 0.57143,     test acc: 0.48077,      test spe: 0.66667,      test sen: 0.30189 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=31, tm_sec=22, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 22,      ce loss: 0.66776,       ce loss_cla: 0.66776,   train acc: 0.59936,     test acc: 0.48077,      test spe: 0.92157,      test sen: 0.05660 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=19, tm_min=32, tm_sec=17, tm_wday=6, tm_yday=315, tm_isdst=0)

感觉没有学进去东西且很慢，使用nvidia-smi查看GPU信息 NVIDIA A10，63W / 150W，3257MiB / 23028MiB，13% 感觉有点怪

cibimo commented 2 weeks ago

训练了一晚上，测试集acc达不到80%，很明显有问题

Epoch: 0,   ce loss: 0.72961,   ce loss_cla: 0.72961,   train acc: 0.48335, test acc: 0.52885,  test spe: 0.25490,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=8, tm_sec=41, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 1,   ce loss: 0.71466,   ce loss_cla: 0.71466,   train acc: 0.53598, test acc: 0.50962,  test spe: 0.00000,  test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=9, tm_sec=37, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 2,   ce loss: 0.69949,   ce loss_cla: 0.69949,   train acc: 0.52309, test acc: 0.50962,  test spe: 1.00000,  test sen: 0.03774 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=10, tm_sec=34, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 3,   ce loss: 0.70522,   ce loss_cla: 0.70522,   train acc: 0.49946, test acc: 0.50000,  test spe: 1.00000,  test sen: 0.01887 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=11, tm_sec=31, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 4,   ce loss: 0.70905,   ce loss_cla: 0.70905,   train acc: 0.48013, test acc: 0.49038,  test spe: 0.94118,  test sen: 0.05660 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=12, tm_sec=28, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 5,   ce loss: 0.69764,   ce loss_cla: 0.69764,   train acc: 0.53706, test acc: 0.46154,  test spe: 0.68627,  test sen: 0.24528 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=13, tm_sec=25, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 6,   ce loss: 0.69623,   ce loss_cla: 0.69623,   train acc: 0.52632, test acc: 0.50962,  test spe: 0.00000,  test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=14, tm_sec=22, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 7,   ce loss: 0.69342,   ce loss_cla: 0.69342,   train acc: 0.53598, test acc: 0.50962,  test spe: 0.00000,  test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=15, tm_sec=19, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 8,   ce loss: 0.69364,   ce loss_cla: 0.69364,   train acc: 0.53061, test acc: 0.50962,  test spe: 0.00000,  test sen: 1.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=16, tm_sec=16, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 9,   ce loss: 0.69434,   ce loss_cla: 0.69434,   train acc: 0.52954, test acc: 0.47115,  test spe: 0.01961,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=17, tm_sec=13, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 10,  ce loss: 0.68682,   ce loss_cla: 0.68682,   train acc: 0.54672, test acc: 0.47115,  test spe: 0.68627,  test sen: 0.26415 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=18, tm_sec=10, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 11,  ce loss: 0.68322,   ce loss_cla: 0.68322,   train acc: 0.55424, test acc: 0.50000,  test spe: 0.82353,  test sen: 0.18868 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=19, tm_sec=7, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 12,  ce loss: 0.69023,   ce loss_cla: 0.69023,   train acc: 0.52095, test acc: 0.50000,  test spe: 0.82353,  test sen: 0.18868 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=20, tm_sec=4, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 13,  ce loss: 0.68678,   ce loss_cla: 0.68678,   train acc: 0.55854, test acc: 0.50000,  test spe: 0.84314,  test sen: 0.16981 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=21, tm_sec=2, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 14,  ce loss: 0.68543,   ce loss_cla: 0.68543,   train acc: 0.56069, test acc: 0.50000,  test spe: 0.84314,  test sen: 0.16981 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=22, tm_sec=0, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 15,  ce loss: 0.68894,   ce loss_cla: 0.68894,   train acc: 0.54672, test acc: 0.49038,  test spe: 0.84314,  test sen: 0.15094 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=22, tm_sec=57, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 16,  ce loss: 0.68572,   ce loss_cla: 0.68572,   train acc: 0.53706, test acc: 0.48077,  test spe: 0.84314,  test sen: 0.13208 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=23, tm_sec=54, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 17,  ce loss: 0.68175,   ce loss_cla: 0.68175,   train acc: 0.56498, test acc: 0.47115,  test spe: 0.82353,  test sen: 0.13208 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=24, tm_sec=50, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 18,  ce loss: 0.69129,   ce loss_cla: 0.69129,   train acc: 0.54135, test acc: 0.46154,  test spe: 0.80392,  test sen: 0.13208 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=25, tm_sec=47, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 19,  ce loss: 0.69207,   ce loss_cla: 0.69207,   train acc: 0.52095, test acc: 0.50000,  test spe: 0.76471,  test sen: 0.24528 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=26, tm_sec=44, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 20,  ce loss: 0.68201,   ce loss_cla: 0.68201,   train acc: 0.54458, test acc: 0.50962,  test spe: 0.76471,  test sen: 0.26415 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=27, tm_sec=41, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 21,  ce loss: 0.67914,   ce loss_cla: 0.67914,   train acc: 0.56284, test acc: 0.54808,  test spe: 0.74510,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=28, tm_sec=38, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 22,  ce loss: 0.68263,   ce loss_cla: 0.68263,   train acc: 0.55532, test acc: 0.53846,  test spe: 0.72549,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=29, tm_sec=35, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 23,  ce loss: 0.69172,   ce loss_cla: 0.69172,   train acc: 0.51880, test acc: 0.57692,  test spe: 0.64706,  test sen: 0.50943 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=30, tm_sec=32, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 24,  ce loss: 0.68074,   ce loss_cla: 0.68074,   train acc: 0.54243, test acc: 0.56731,  test spe: 0.52941,  test sen: 0.60377 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=31, tm_sec=29, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 25,  ce loss: 0.67987,   ce loss_cla: 0.67987,   train acc: 0.55854, test acc: 0.53846,  test spe: 0.50980,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=32, tm_sec=25, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 26,  ce loss: 0.68769,   ce loss_cla: 0.68769,   train acc: 0.53598, test acc: 0.52885,  test spe: 0.43137,  test sen: 0.62264 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=33, tm_sec=22, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 27,  ce loss: 0.68621,   ce loss_cla: 0.68621,   train acc: 0.55961, test acc: 0.53846,  test spe: 0.54902,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=34, tm_sec=20, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 28,  ce loss: 0.68059,   ce loss_cla: 0.68059,   train acc: 0.55639, test acc: 0.51923,  test spe: 0.49020,  test sen: 0.54717 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=35, tm_sec=17, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 29,  ce loss: 0.68168,   ce loss_cla: 0.68168,   train acc: 0.55961, test acc: 0.46154,  test spe: 0.29412,  test sen: 0.62264 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=36, tm_sec=14, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 30,  ce loss: 0.68835,   ce loss_cla: 0.68835,   train acc: 0.54887, test acc: 0.48077,  test spe: 0.37255,  test sen: 0.58491 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=37, tm_sec=11, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 31,  ce loss: 0.69165,   ce loss_cla: 0.69165,   train acc: 0.53276, test acc: 0.50962,  test spe: 0.49020,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=38, tm_sec=8, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 32,  ce loss: 0.68918,   ce loss_cla: 0.68918,   train acc: 0.54995, test acc: 0.51923,  test spe: 0.49020,  test sen: 0.54717 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=39, tm_sec=5, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 33,  ce loss: 0.67881,   ce loss_cla: 0.67881,   train acc: 0.55747, test acc: 0.55769,  test spe: 0.50980,  test sen: 0.60377 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=40, tm_sec=3, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 34,  ce loss: 0.69370,   ce loss_cla: 0.69370,   train acc: 0.52739, test acc: 0.53846,  test spe: 0.62745,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=41, tm_sec=1, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 35,  ce loss: 0.70362,   ce loss_cla: 0.70362,   train acc: 0.53061, test acc: 0.52885,  test spe: 0.66667,  test sen: 0.39623 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=41, tm_sec=58, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 36,  ce loss: 0.69774,   ce loss_cla: 0.69774,   train acc: 0.51772, test acc: 0.50962,  test spe: 0.66667,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=42, tm_sec=55, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 37,  ce loss: 0.69080,   ce loss_cla: 0.69080,   train acc: 0.55102, test acc: 0.51923,  test spe: 0.70588,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=43, tm_sec=52, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 38,  ce loss: 0.69503,   ce loss_cla: 0.69503,   train acc: 0.52739, test acc: 0.51923,  test spe: 0.82353,  test sen: 0.22642 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=44, tm_sec=48, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 39,  ce loss: 0.68769,   ce loss_cla: 0.68769,   train acc: 0.54458, test acc: 0.45192,  test spe: 0.74510,  test sen: 0.16981 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=45, tm_sec=45, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 40,  ce loss: 0.68922,   ce loss_cla: 0.68922,   train acc: 0.53061, test acc: 0.50000,  test spe: 0.76471,  test sen: 0.24528 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=46, tm_sec=42, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 41,  ce loss: 0.69010,   ce loss_cla: 0.69010,   train acc: 0.54243, test acc: 0.51923,  test spe: 0.64706,  test sen: 0.39623 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=47, tm_sec=39, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 42,  ce loss: 0.69077,   ce loss_cla: 0.69077,   train acc: 0.53921, test acc: 0.53846,  test spe: 0.50980,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=48, tm_sec=36, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 43,  ce loss: 0.68209,   ce loss_cla: 0.68209,   train acc: 0.54458, test acc: 0.55769,  test spe: 0.43137,  test sen: 0.67925 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=49, tm_sec=33, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 44,  ce loss: 0.68529,   ce loss_cla: 0.68529,   train acc: 0.53491, test acc: 0.58654,  test spe: 0.31373,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=50, tm_sec=30, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 45,  ce loss: 0.68553,   ce loss_cla: 0.68553,   train acc: 0.56069, test acc: 0.58654,  test spe: 0.25490,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=51, tm_sec=27, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 46,  ce loss: 0.68504,   ce loss_cla: 0.68504,   train acc: 0.55424, test acc: 0.57692,  test spe: 0.21569,  test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=52, tm_sec=24, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 47,  ce loss: 0.68302,   ce loss_cla: 0.68302,   train acc: 0.54887, test acc: 0.55769,  test spe: 0.15686,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=53, tm_sec=21, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 48,  ce loss: 0.68562,   ce loss_cla: 0.68562,   train acc: 0.54995, test acc: 0.54808,  test spe: 0.13725,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=54, tm_sec=18, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 49,  ce loss: 0.67814,   ce loss_cla: 0.67814,   train acc: 0.57143, test acc: 0.53846,  test spe: 0.09804,  test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=55, tm_sec=14, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 50,  ce loss: 0.68138,   ce loss_cla: 0.68138,   train acc: 0.54243, test acc: 0.54808,  test spe: 0.11765,  test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=56, tm_sec=11, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 51,  ce loss: 0.67821,   ce loss_cla: 0.67821,   train acc: 0.55639, test acc: 0.52885,  test spe: 0.13725,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=57, tm_sec=8, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 52,  ce loss: 0.67660,   ce loss_cla: 0.67660,   train acc: 0.56391, test acc: 0.52885,  test spe: 0.23529,  test sen: 0.81132 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=58, tm_sec=5, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 53,  ce loss: 0.67209,   ce loss_cla: 0.67209,   train acc: 0.56928, test acc: 0.55769,  test spe: 0.41176,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=22, tm_min=59, tm_sec=3, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 54,  ce loss: 0.67488,   ce loss_cla: 0.67488,   train acc: 0.58432, test acc: 0.58654,  test spe: 0.49020,  test sen: 0.67925 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=0, tm_sec=0, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 55,  ce loss: 0.67813,   ce loss_cla: 0.67813,   train acc: 0.58002, test acc: 0.53846,  test spe: 0.27451,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=0, tm_sec=57, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 56,  ce loss: 0.67847,   ce loss_cla: 0.67847,   train acc: 0.59076, test acc: 0.55769,  test spe: 0.21569,  test sen: 0.88679 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=1, tm_sec=54, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 57,  ce loss: 0.67155,   ce loss_cla: 0.67155,   train acc: 0.57895, test acc: 0.50962,  test spe: 0.15686,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=2, tm_sec=51, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 58,  ce loss: 0.66937,   ce loss_cla: 0.66937,   train acc: 0.58969, test acc: 0.52885,  test spe: 0.25490,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=3, tm_sec=48, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 59,  ce loss: 0.67529,   ce loss_cla: 0.67529,   train acc: 0.57250, test acc: 0.50962,  test spe: 0.37255,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=4, tm_sec=45, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 60,  ce loss: 0.66395,   ce loss_cla: 0.66395,   train acc: 0.58969, test acc: 0.54808,  test spe: 0.47059,  test sen: 0.62264 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=5, tm_sec=42, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 61,  ce loss: 0.66094,   ce loss_cla: 0.66094,   train acc: 0.59184, test acc: 0.54808,  test spe: 0.52941,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=6, tm_sec=38, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 62,  ce loss: 0.67000,   ce loss_cla: 0.67000,   train acc: 0.58324, test acc: 0.56731,  test spe: 0.49020,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=7, tm_sec=35, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 63,  ce loss: 0.66368,   ce loss_cla: 0.66368,   train acc: 0.58110, test acc: 0.46154,  test spe: 0.64706,  test sen: 0.28302 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=8, tm_sec=32, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 64,  ce loss: 0.67466,   ce loss_cla: 0.67466,   train acc: 0.58539, test acc: 0.44231,  test spe: 0.68627,  test sen: 0.20755 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=9, tm_sec=29, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 65,  ce loss: 0.65776,   ce loss_cla: 0.65776,   train acc: 0.60902, test acc: 0.43269,  test spe: 0.64706,  test sen: 0.22642 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=10, tm_sec=26, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 66,  ce loss: 0.65800,   ce loss_cla: 0.65800,   train acc: 0.60258, test acc: 0.49038,  test spe: 0.72549,  test sen: 0.26415 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=11, tm_sec=22, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 67,  ce loss: 0.65739,   ce loss_cla: 0.65739,   train acc: 0.60473, test acc: 0.51923,  test spe: 0.84314,  test sen: 0.20755 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=12, tm_sec=18, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 68,  ce loss: 0.65655,   ce loss_cla: 0.65655,   train acc: 0.61224, test acc: 0.48077,  test spe: 0.96078,  test sen: 0.01887 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=13, tm_sec=15, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 69,  ce loss: 0.66055,   ce loss_cla: 0.66055,   train acc: 0.59291, test acc: 0.48077,  test spe: 0.98039,  test sen: 0.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=14, tm_sec=11, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 70,  ce loss: 0.66429,   ce loss_cla: 0.66429,   train acc: 0.59828, test acc: 0.48077,  test spe: 0.98039,  test sen: 0.00000 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=15, tm_sec=8, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 71,  ce loss: 0.65995,   ce loss_cla: 0.65995,   train acc: 0.59828, test acc: 0.50000,  test spe: 0.98039,  test sen: 0.03774 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=16, tm_sec=4, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 72,  ce loss: 0.65954,   ce loss_cla: 0.65954,   train acc: 0.58217, test acc: 0.50000,  test spe: 0.92157,  test sen: 0.09434 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=17, tm_sec=1, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 73,  ce loss: 0.66096,   ce loss_cla: 0.66096,   train acc: 0.59076, test acc: 0.49038,  test spe: 0.80392,  test sen: 0.18868 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=17, tm_sec=57, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 74,  ce loss: 0.65834,   ce loss_cla: 0.65834,   train acc: 0.62191, test acc: 0.48077,  test spe: 0.68627,  test sen: 0.28302 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=18, tm_sec=53, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 75,  ce loss: 0.65120,   ce loss_cla: 0.65120,   train acc: 0.63265, test acc: 0.50000,  test spe: 0.66667,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=19, tm_sec=50, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 76,  ce loss: 0.65659,   ce loss_cla: 0.65659,   train acc: 0.60687, test acc: 0.49038,  test spe: 0.62745,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=20, tm_sec=46, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 77,  ce loss: 0.65175,   ce loss_cla: 0.65175,   train acc: 0.61869, test acc: 0.54808,  test spe: 0.64706,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=21, tm_sec=43, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 78,  ce loss: 0.65239,   ce loss_cla: 0.65239,   train acc: 0.60043, test acc: 0.60577,  test spe: 0.60784,  test sen: 0.60377 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=22, tm_sec=40, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 79,  ce loss: 0.64534,   ce loss_cla: 0.64534,   train acc: 0.62943, test acc: 0.60577,  test spe: 0.58824,  test sen: 0.62264 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=23, tm_sec=36, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 80,  ce loss: 0.63717,   ce loss_cla: 0.63717,   train acc: 0.63050, test acc: 0.56731,  test spe: 0.50980,  test sen: 0.62264 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=24, tm_sec=33, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 81,  ce loss: 0.64297,   ce loss_cla: 0.64297,   train acc: 0.61332, test acc: 0.57692,  test spe: 0.54902,  test sen: 0.60377 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=25, tm_sec=30, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 82,  ce loss: 0.63469,   ce loss_cla: 0.63469,   train acc: 0.62299, test acc: 0.62500,  test spe: 0.50980,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=26, tm_sec=26, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 83,  ce loss: 0.63563,   ce loss_cla: 0.63563,   train acc: 0.63050, test acc: 0.61538,  test spe: 0.43137,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=27, tm_sec=23, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 84,  ce loss: 0.62653,   ce loss_cla: 0.62653,   train acc: 0.64876, test acc: 0.60577,  test spe: 0.43137,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=28, tm_sec=19, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 85,  ce loss: 0.63316,   ce loss_cla: 0.63316,   train acc: 0.64876, test acc: 0.61538,  test spe: 0.66667,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=29, tm_sec=16, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 86,  ce loss: 0.61545,   ce loss_cla: 0.61545,   train acc: 0.64984, test acc: 0.57692,  test spe: 0.45098,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=30, tm_sec=12, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 87,  ce loss: 0.61904,   ce loss_cla: 0.61904,   train acc: 0.65091, test acc: 0.54808,  test spe: 0.21569,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=31, tm_sec=9, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 88,  ce loss: 0.63085,   ce loss_cla: 0.63085,   train acc: 0.64339, test acc: 0.54808,  test spe: 0.37255,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=32, tm_sec=6, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 89,  ce loss: 0.61006,   ce loss_cla: 0.61006,   train acc: 0.67025, test acc: 0.58654,  test spe: 0.35294,  test sen: 0.81132 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=33, tm_sec=2, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 90,  ce loss: 0.62133,   ce loss_cla: 0.62133,   train acc: 0.63802, test acc: 0.55769,  test spe: 0.15686,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=33, tm_sec=59, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 91,  ce loss: 0.60133,   ce loss_cla: 0.60133,   train acc: 0.68314, test acc: 0.57692,  test spe: 0.19608,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=34, tm_sec=56, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 92,  ce loss: 0.58817,   ce loss_cla: 0.58817,   train acc: 0.69388, test acc: 0.56731,  test spe: 0.19608,  test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=35, tm_sec=54, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 93,  ce loss: 0.59670,   ce loss_cla: 0.59670,   train acc: 0.67669, test acc: 0.59615,  test spe: 0.27451,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=36, tm_sec=51, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 94,  ce loss: 0.58632,   ce loss_cla: 0.58632,   train acc: 0.69066, test acc: 0.57692,  test spe: 0.19608,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=37, tm_sec=48, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 95,  ce loss: 0.60235,   ce loss_cla: 0.60235,   train acc: 0.67777, test acc: 0.59615,  test spe: 0.35294,  test sen: 0.83019 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=38, tm_sec=45, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 96,  ce loss: 0.57594,   ce loss_cla: 0.57594,   train acc: 0.69388, test acc: 0.60577,  test spe: 0.23529,  test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=39, tm_sec=41, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 97,  ce loss: 0.56644,   ce loss_cla: 0.56644,   train acc: 0.69710, test acc: 0.65385,  test spe: 0.66667,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=40, tm_sec=38, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 98,  ce loss: 0.58062,   ce loss_cla: 0.58062,   train acc: 0.70247, test acc: 0.62500,  test spe: 0.31373,  test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=41, tm_sec=35, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 99,  ce loss: 0.57530,   ce loss_cla: 0.57530,   train acc: 0.69495, test acc: 0.59615,  test spe: 0.33333,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=42, tm_sec=31, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 100, ce loss: 0.55781,   ce loss_cla: 0.55781,   train acc: 0.72288, test acc: 0.66346,  test spe: 0.74510,  test sen: 0.58491 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=43, tm_sec=28, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 101, ce loss: 0.57387,   ce loss_cla: 0.57387,   train acc: 0.68851, test acc: 0.62500,  test spe: 0.29412,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=44, tm_sec=24, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 102, ce loss: 0.56721,   ce loss_cla: 0.56721,   train acc: 0.69817, test acc: 0.59615,  test spe: 0.21569,  test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=45, tm_sec=21, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 103, ce loss: 0.57968,   ce loss_cla: 0.57968,   train acc: 0.68528, test acc: 0.71154,  test spe: 0.84314,  test sen: 0.58491 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=46, tm_sec=19, tm_wday=6, tm_yday=315, tm_isdst=0)
?? Saved model to:.//inffus_fold0.pth
Epoch: 104, ce loss: 0.56479,   ce loss_cla: 0.56479,   train acc: 0.70462, test acc: 0.67308,  test spe: 0.70588,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=47, tm_sec=16, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 105, ce loss: 0.55890,   ce loss_cla: 0.55890,   train acc: 0.72503, test acc: 0.65385,  test spe: 0.37255,  test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=48, tm_sec=12, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 106, ce loss: 0.55056,   ce loss_cla: 0.55056,   train acc: 0.71106, test acc: 0.65385,  test spe: 0.33333,  test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=49, tm_sec=9, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 107, ce loss: 0.56271,   ce loss_cla: 0.56271,   train acc: 0.70677, test acc: 0.63462,  test spe: 0.49020,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=50, tm_sec=6, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 108, ce loss: 0.53831,   ce loss_cla: 0.53831,   train acc: 0.72503, test acc: 0.63462,  test spe: 0.62745,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=51, tm_sec=4, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 109, ce loss: 0.54837,   ce loss_cla: 0.54837,   train acc: 0.71321, test acc: 0.66346,  test spe: 0.72549,  test sen: 0.60377 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=52, tm_sec=0, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 110, ce loss: 0.53402,   ce loss_cla: 0.53402,   train acc: 0.72718, test acc: 0.64423,  test spe: 0.58824,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=52, tm_sec=57, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 111, ce loss: 0.52672,   ce loss_cla: 0.52672,   train acc: 0.73255, test acc: 0.63462,  test spe: 0.72549,  test sen: 0.54717 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=53, tm_sec=54, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 112, ce loss: 0.52893,   ce loss_cla: 0.52893,   train acc: 0.72503, test acc: 0.61538,  test spe: 0.70588,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=54, tm_sec=52, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 113, ce loss: 0.53095,   ce loss_cla: 0.53095,   train acc: 0.72610, test acc: 0.64423,  test spe: 0.68627,  test sen: 0.60377 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=55, tm_sec=49, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 114, ce loss: 0.52216,   ce loss_cla: 0.52216,   train acc: 0.75295, test acc: 0.68269,  test spe: 0.64706,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=56, tm_sec=46, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 115, ce loss: 0.51598,   ce loss_cla: 0.51598,   train acc: 0.73684, test acc: 0.65385,  test spe: 0.76471,  test sen: 0.54717 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=57, tm_sec=43, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 116, ce loss: 0.50240,   ce loss_cla: 0.50240,   train acc: 0.75510, test acc: 0.69231,  test spe: 0.56863,  test sen: 0.81132 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=58, tm_sec=40, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 117, ce loss: 0.49248,   ce loss_cla: 0.49248,   train acc: 0.75188, test acc: 0.70192,  test spe: 0.54902,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=10, tm_hour=23, tm_min=59, tm_sec=37, tm_wday=6, tm_yday=315, tm_isdst=0)
Epoch: 118, ce loss: 0.49796,   ce loss_cla: 0.49796,   train acc: 0.74221, test acc: 0.67308,  test spe: 0.68627,  test sen: 0.66038 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=0, tm_sec=34, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 119, ce loss: 0.51211,   ce loss_cla: 0.51211,   train acc: 0.74006, test acc: 0.64423,  test spe: 0.58824,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=1, tm_sec=31, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 120, ce loss: 0.49411,   ce loss_cla: 0.49411,   train acc: 0.75295, test acc: 0.65385,  test spe: 0.35294,  test sen: 0.94340 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=2, tm_sec=28, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 121, ce loss: 0.52035,   ce loss_cla: 0.52035,   train acc: 0.73684, test acc: 0.60577,  test spe: 0.68627,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=3, tm_sec=25, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 122, ce loss: 0.49369,   ce loss_cla: 0.49369,   train acc: 0.76369, test acc: 0.55769,  test spe: 0.78431,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=4, tm_sec=23, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 123, ce loss: 0.50939,   ce loss_cla: 0.50939,   train acc: 0.74329, test acc: 0.65385,  test spe: 0.64706,  test sen: 0.66038 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=5, tm_sec=21, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 124, ce loss: 0.47660,   ce loss_cla: 0.47660,   train acc: 0.76692, test acc: 0.62500,  test spe: 0.37255,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=6, tm_sec=18, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 125, ce loss: 0.51470,   ce loss_cla: 0.51470,   train acc: 0.74436, test acc: 0.61538,  test spe: 0.74510,  test sen: 0.49057 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=7, tm_sec=15, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 126, ce loss: 0.47966,   ce loss_cla: 0.47966,   train acc: 0.75940, test acc: 0.54808,  test spe: 0.78431,  test sen: 0.32075 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=8, tm_sec=11, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 127, ce loss: 0.50396,   ce loss_cla: 0.50396,   train acc: 0.73899, test acc: 0.63462,  test spe: 0.74510,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=9, tm_sec=8, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 128, ce loss: 0.46927,   ce loss_cla: 0.46927,   train acc: 0.77014, test acc: 0.59615,  test spe: 0.45098,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=10, tm_sec=5, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 129, ce loss: 0.48460,   ce loss_cla: 0.48460,   train acc: 0.77229, test acc: 0.57692,  test spe: 0.43137,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=11, tm_sec=2, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 130, ce loss: 0.48797,   ce loss_cla: 0.48797,   train acc: 0.76155, test acc: 0.62500,  test spe: 0.76471,  test sen: 0.49057 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=11, tm_sec=59, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 131, ce loss: 0.45155,   ce loss_cla: 0.45155,   train acc: 0.77121, test acc: 0.53846,  test spe: 0.92157,  test sen: 0.16981 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=12, tm_sec=56, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 132, ce loss: 0.46938,   ce loss_cla: 0.46938,   train acc: 0.77444, test acc: 0.57692,  test spe: 0.84314,  test sen: 0.32075 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=13, tm_sec=52, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 133, ce loss: 0.47387,   ce loss_cla: 0.47387,   train acc: 0.77658, test acc: 0.58654,  test spe: 0.66667,  test sen: 0.50943 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=14, tm_sec=49, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 134, ce loss: 0.47998,   ce loss_cla: 0.47998,   train acc: 0.75725, test acc: 0.55769,  test spe: 0.62745,  test sen: 0.49057 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=15, tm_sec=46, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 135, ce loss: 0.49237,   ce loss_cla: 0.49237,   train acc: 0.75403, test acc: 0.53846,  test spe: 0.56863,  test sen: 0.50943 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=16, tm_sec=43, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 136, ce loss: 0.51030,   ce loss_cla: 0.51030,   train acc: 0.74543, test acc: 0.58654,  test spe: 0.72549,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=17, tm_sec=40, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 137, ce loss: 0.53573,   ce loss_cla: 0.53573,   train acc: 0.71643, test acc: 0.56731,  test spe: 0.72549,  test sen: 0.41509 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=18, tm_sec=37, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 138, ce loss: 0.52471,   ce loss_cla: 0.52471,   train acc: 0.73362, test acc: 0.56731,  test spe: 0.84314,  test sen: 0.30189 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=19, tm_sec=34, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 139, ce loss: 0.54841,   ce loss_cla: 0.54841,   train acc: 0.72073, test acc: 0.54808,  test spe: 0.88235,  test sen: 0.22642 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=20, tm_sec=31, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 140, ce loss: 0.56441,   ce loss_cla: 0.56441,   train acc: 0.69603, test acc: 0.54808,  test spe: 0.74510,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=21, tm_sec=28, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 141, ce loss: 0.54735,   ce loss_cla: 0.54735,   train acc: 0.72073, test acc: 0.56731,  test spe: 0.74510,  test sen: 0.39623 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=22, tm_sec=25, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 142, ce loss: 0.54643,   ce loss_cla: 0.54643,   train acc: 0.74543, test acc: 0.57692,  test spe: 0.80392,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=23, tm_sec=22, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 143, ce loss: 0.54273,   ce loss_cla: 0.54273,   train acc: 0.72180, test acc: 0.58654,  test spe: 0.78431,  test sen: 0.39623 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=24, tm_sec=21, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 144, ce loss: 0.54602,   ce loss_cla: 0.54602,   train acc: 0.71214, test acc: 0.61538,  test spe: 0.78431,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=25, tm_sec=20, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 145, ce loss: 0.54217,   ce loss_cla: 0.54217,   train acc: 0.72288, test acc: 0.58654,  test spe: 0.72549,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=26, tm_sec=19, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 146, ce loss: 0.52582,   ce loss_cla: 0.52582,   train acc: 0.72395, test acc: 0.61538,  test spe: 0.72549,  test sen: 0.50943 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=27, tm_sec=17, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 147, ce loss: 0.51320,   ce loss_cla: 0.51320,   train acc: 0.73577, test acc: 0.60577,  test spe: 0.64706,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=28, tm_sec=15, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 148, ce loss: 0.50974,   ce loss_cla: 0.50974,   train acc: 0.73577, test acc: 0.65385,  test spe: 0.60784,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=29, tm_sec=12, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 149, ce loss: 0.50395,   ce loss_cla: 0.50395,   train acc: 0.75295, test acc: 0.66346,  test spe: 0.58824,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=30, tm_sec=11, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 150, ce loss: 0.50518,   ce loss_cla: 0.50518,   train acc: 0.74866, test acc: 0.64423,  test spe: 0.56863,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=31, tm_sec=11, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 151, ce loss: 0.49358,   ce loss_cla: 0.49358,   train acc: 0.75188, test acc: 0.66346,  test spe: 0.58824,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=32, tm_sec=9, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 152, ce loss: 0.48413,   ce loss_cla: 0.48413,   train acc: 0.75295, test acc: 0.64423,  test spe: 0.54902,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=33, tm_sec=6, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 153, ce loss: 0.47574,   ce loss_cla: 0.47574,   train acc: 0.77014, test acc: 0.64423,  test spe: 0.54902,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=34, tm_sec=4, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 154, ce loss: 0.49283,   ce loss_cla: 0.49283,   train acc: 0.76262, test acc: 0.66346,  test spe: 0.50980,  test sen: 0.81132 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=35, tm_sec=1, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 155, ce loss: 0.49961,   ce loss_cla: 0.49961,   train acc: 0.74329, test acc: 0.70192,  test spe: 0.60784,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=36, tm_sec=0, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 156, ce loss: 0.49576,   ce loss_cla: 0.49576,   train acc: 0.75832, test acc: 0.62500,  test spe: 0.76471,  test sen: 0.49057 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=37, tm_sec=0, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 157, ce loss: 0.54906,   ce loss_cla: 0.54906,   train acc: 0.73899, test acc: 0.57692,  test spe: 0.88235,  test sen: 0.28302 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=38, tm_sec=1, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 158, ce loss: 0.53133,   ce loss_cla: 0.53133,   train acc: 0.74221, test acc: 0.52885,  test spe: 0.94118,  test sen: 0.13208 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=39, tm_sec=1, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 159, ce loss: 0.55702,   ce loss_cla: 0.55702,   train acc: 0.71643, test acc: 0.68269,  test spe: 0.64706,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=40, tm_sec=0, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 160, ce loss: 0.53732,   ce loss_cla: 0.53732,   train acc: 0.73792, test acc: 0.62500,  test spe: 0.43137,  test sen: 0.81132 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=40, tm_sec=58, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 161, ce loss: 0.56718,   ce loss_cla: 0.56718,   train acc: 0.71643, test acc: 0.62500,  test spe: 0.39216,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=41, tm_sec=56, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 162, ce loss: 0.52718,   ce loss_cla: 0.52718,   train acc: 0.73362, test acc: 0.65385,  test spe: 0.66667,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=42, tm_sec=54, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 163, ce loss: 0.53814,   ce loss_cla: 0.53814,   train acc: 0.71966, test acc: 0.62500,  test spe: 0.49020,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=43, tm_sec=52, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 164, ce loss: 0.56530,   ce loss_cla: 0.56530,   train acc: 0.69710, test acc: 0.59615,  test spe: 0.31373,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=44, tm_sec=49, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 165, ce loss: 0.54210,   ce loss_cla: 0.54210,   train acc: 0.71751, test acc: 0.59615,  test spe: 0.31373,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=45, tm_sec=46, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 166, ce loss: 0.53901,   ce loss_cla: 0.53901,   train acc: 0.72288, test acc: 0.62500,  test spe: 0.31373,  test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=46, tm_sec=43, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 167, ce loss: 0.54562,   ce loss_cla: 0.54562,   train acc: 0.73255, test acc: 0.61538,  test spe: 0.72549,  test sen: 0.50943 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=47, tm_sec=41, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 168, ce loss: 0.53718,   ce loss_cla: 0.53718,   train acc: 0.71966, test acc: 0.58654,  test spe: 0.86275,  test sen: 0.32075 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=48, tm_sec=39, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 169, ce loss: 0.55274,   ce loss_cla: 0.55274,   train acc: 0.71106, test acc: 0.58654,  test spe: 0.62745,  test sen: 0.54717 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=49, tm_sec=36, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 170, ce loss: 0.53665,   ce loss_cla: 0.53665,   train acc: 0.71751, test acc: 0.63462,  test spe: 0.43137,  test sen: 0.83019 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=50, tm_sec=34, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 171, ce loss: 0.52234,   ce loss_cla: 0.52234,   train acc: 0.74006, test acc: 0.63462,  test spe: 0.39216,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=51, tm_sec=31, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 172, ce loss: 0.53067,   ce loss_cla: 0.53067,   train acc: 0.74329, test acc: 0.64423,  test spe: 0.43137,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=52, tm_sec=29, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 173, ce loss: 0.53736,   ce loss_cla: 0.53736,   train acc: 0.72288, test acc: 0.64423,  test spe: 0.49020,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=53, tm_sec=27, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 174, ce loss: 0.52307,   ce loss_cla: 0.52307,   train acc: 0.73899, test acc: 0.62500,  test spe: 0.54902,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=54, tm_sec=23, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 175, ce loss: 0.51148,   ce loss_cla: 0.51148,   train acc: 0.74221, test acc: 0.64423,  test spe: 0.58824,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=55, tm_sec=20, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 176, ce loss: 0.50376,   ce loss_cla: 0.50376,   train acc: 0.75295, test acc: 0.66346,  test spe: 0.58824,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=56, tm_sec=17, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 177, ce loss: 0.51625,   ce loss_cla: 0.51625,   train acc: 0.73147, test acc: 0.62500,  test spe: 0.50980,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=57, tm_sec=14, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 178, ce loss: 0.50134,   ce loss_cla: 0.50134,   train acc: 0.73040, test acc: 0.62500,  test spe: 0.52941,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=58, tm_sec=11, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 179, ce loss: 0.49745,   ce loss_cla: 0.49745,   train acc: 0.75188, test acc: 0.62500,  test spe: 0.50980,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=0, tm_min=59, tm_sec=9, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 180, ce loss: 0.48337,   ce loss_cla: 0.48337,   train acc: 0.75832, test acc: 0.61538,  test spe: 0.47059,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=0, tm_sec=6, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 181, ce loss: 0.50805,   ce loss_cla: 0.50805,   train acc: 0.74651, test acc: 0.63462,  test spe: 0.49020,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=1, tm_sec=3, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 182, ce loss: 0.47207,   ce loss_cla: 0.47207,   train acc: 0.75725, test acc: 0.63462,  test spe: 0.56863,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=2, tm_sec=0, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 183, ce loss: 0.47001,   ce loss_cla: 0.47001,   train acc: 0.76584, test acc: 0.58654,  test spe: 0.60784,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=2, tm_sec=57, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 184, ce loss: 0.48859,   ce loss_cla: 0.48859,   train acc: 0.76047, test acc: 0.59615,  test spe: 0.62745,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=3, tm_sec=53, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 185, ce loss: 0.47762,   ce loss_cla: 0.47762,   train acc: 0.76692, test acc: 0.63462,  test spe: 0.60784,  test sen: 0.66038 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=4, tm_sec=50, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 186, ce loss: 0.46165,   ce loss_cla: 0.46165,   train acc: 0.77981, test acc: 0.65385,  test spe: 0.54902,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=5, tm_sec=47, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 187, ce loss: 0.48549,   ce loss_cla: 0.48549,   train acc: 0.74973, test acc: 0.64423,  test spe: 0.49020,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=6, tm_sec=45, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 188, ce loss: 0.47526,   ce loss_cla: 0.47526,   train acc: 0.76584, test acc: 0.62500,  test spe: 0.49020,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=7, tm_sec=44, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 189, ce loss: 0.46604,   ce loss_cla: 0.46604,   train acc: 0.77014, test acc: 0.62500,  test spe: 0.50980,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=8, tm_sec=42, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 190, ce loss: 0.44376,   ce loss_cla: 0.44376,   train acc: 0.79055, test acc: 0.63462,  test spe: 0.52941,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=9, tm_sec=40, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 191, ce loss: 0.45618,   ce loss_cla: 0.45618,   train acc: 0.77444, test acc: 0.66346,  test spe: 0.60784,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=10, tm_sec=38, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 192, ce loss: 0.45191,   ce loss_cla: 0.45191,   train acc: 0.78410, test acc: 0.65385,  test spe: 0.54902,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=11, tm_sec=37, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 193, ce loss: 0.44289,   ce loss_cla: 0.44289,   train acc: 0.77766, test acc: 0.66346,  test spe: 0.58824,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=12, tm_sec=35, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 194, ce loss: 0.44144,   ce loss_cla: 0.44144,   train acc: 0.77981, test acc: 0.68269,  test spe: 0.52941,  test sen: 0.83019 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=13, tm_sec=32, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 195, ce loss: 0.43317,   ce loss_cla: 0.43317,   train acc: 0.78518, test acc: 0.67308,  test spe: 0.47059,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=14, tm_sec=30, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 196, ce loss: 0.43873,   ce loss_cla: 0.43873,   train acc: 0.79377, test acc: 0.66346,  test spe: 0.58824,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=15, tm_sec=26, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 197, ce loss: 0.43000,   ce loss_cla: 0.43000,   train acc: 0.79055, test acc: 0.68269,  test spe: 0.64706,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=16, tm_sec=22, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 198, ce loss: 0.44553,   ce loss_cla: 0.44553,   train acc: 0.77551, test acc: 0.68269,  test spe: 0.58824,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=17, tm_sec=18, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 199, ce loss: 0.43197,   ce loss_cla: 0.43197,   train acc: 0.78733, test acc: 0.69231,  test spe: 0.47059,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=18, tm_sec=14, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 200, ce loss: 0.43440,   ce loss_cla: 0.43440,   train acc: 0.79377, test acc: 0.63462,  test spe: 0.43137,  test sen: 0.83019 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=19, tm_sec=9, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 201, ce loss: 0.40102,   ce loss_cla: 0.40102,   train acc: 0.80881, test acc: 0.67308,  test spe: 0.58824,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=20, tm_sec=5, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 202, ce loss: 0.43185,   ce loss_cla: 0.43185,   train acc: 0.79484, test acc: 0.62500,  test spe: 0.50980,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=21, tm_sec=1, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 203, ce loss: 0.42707,   ce loss_cla: 0.42707,   train acc: 0.79270, test acc: 0.65385,  test spe: 0.54902,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=21, tm_sec=56, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 204, ce loss: 0.40314,   ce loss_cla: 0.40314,   train acc: 0.82599, test acc: 0.68269,  test spe: 0.50980,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=22, tm_sec=51, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 205, ce loss: 0.41051,   ce loss_cla: 0.41051,   train acc: 0.80988, test acc: 0.67308,  test spe: 0.43137,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=23, tm_sec=47, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 206, ce loss: 0.39488,   ce loss_cla: 0.39488,   train acc: 0.80988, test acc: 0.69231,  test spe: 0.47059,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=24, tm_sec=43, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 207, ce loss: 0.38099,   ce loss_cla: 0.38099,   train acc: 0.82492, test acc: 0.67308,  test spe: 0.47059,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=25, tm_sec=38, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 208, ce loss: 0.41266,   ce loss_cla: 0.41266,   train acc: 0.79807, test acc: 0.68269,  test spe: 0.47059,  test sen: 0.88679 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=26, tm_sec=33, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 209, ce loss: 0.39697,   ce loss_cla: 0.39697,   train acc: 0.81418, test acc: 0.69231,  test spe: 0.47059,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=27, tm_sec=28, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 210, ce loss: 0.41921,   ce loss_cla: 0.41921,   train acc: 0.80021, test acc: 0.68269,  test spe: 0.45098,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=28, tm_sec=24, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 211, ce loss: 0.39127,   ce loss_cla: 0.39127,   train acc: 0.80236, test acc: 0.65385,  test spe: 0.41176,  test sen: 0.88679 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=29, tm_sec=19, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 212, ce loss: 0.38233,   ce loss_cla: 0.38233,   train acc: 0.83029, test acc: 0.67308,  test spe: 0.47059,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=30, tm_sec=14, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 213, ce loss: 0.39426,   ce loss_cla: 0.39426,   train acc: 0.81633, test acc: 0.66346,  test spe: 0.60784,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=31, tm_sec=9, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 214, ce loss: 0.38679,   ce loss_cla: 0.38679,   train acc: 0.81633, test acc: 0.66346,  test spe: 0.60784,  test sen: 0.71698 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=32, tm_sec=5, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 215, ce loss: 0.41257,   ce loss_cla: 0.41257,   train acc: 0.80451, test acc: 0.63462,  test spe: 0.35294,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=33, tm_sec=0, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 216, ce loss: 0.38467,   ce loss_cla: 0.38467,   train acc: 0.82492, test acc: 0.63462,  test spe: 0.29412,  test sen: 0.96226 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=33, tm_sec=55, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 217, ce loss: 0.39130,   ce loss_cla: 0.39130,   train acc: 0.81633, test acc: 0.63462,  test spe: 0.50980,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=34, tm_sec=50, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 218, ce loss: 0.36891,   ce loss_cla: 0.36891,   train acc: 0.81525, test acc: 0.65385,  test spe: 0.60784,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=35, tm_sec=45, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 219, ce loss: 0.37895,   ce loss_cla: 0.37895,   train acc: 0.83244, test acc: 0.66346,  test spe: 0.56863,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=36, tm_sec=40, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 220, ce loss: 0.37300,   ce loss_cla: 0.37300,   train acc: 0.83673, test acc: 0.66346,  test spe: 0.50980,  test sen: 0.81132 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=37, tm_sec=35, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 221, ce loss: 0.37542,   ce loss_cla: 0.37542,   train acc: 0.83244, test acc: 0.64423,  test spe: 0.62745,  test sen: 0.66038 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=38, tm_sec=30, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 222, ce loss: 0.35814,   ce loss_cla: 0.35814,   train acc: 0.84103, test acc: 0.62500,  test spe: 0.68627,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=39, tm_sec=26, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 223, ce loss: 0.37513,   ce loss_cla: 0.37513,   train acc: 0.80559, test acc: 0.65385,  test spe: 0.60784,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=40, tm_sec=21, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 224, ce loss: 0.35442,   ce loss_cla: 0.35442,   train acc: 0.82922, test acc: 0.63462,  test spe: 0.43137,  test sen: 0.83019 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=41, tm_sec=16, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 225, ce loss: 0.37849,   ce loss_cla: 0.37849,   train acc: 0.83029, test acc: 0.66346,  test spe: 0.58824,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=42, tm_sec=12, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 226, ce loss: 0.36076,   ce loss_cla: 0.36076,   train acc: 0.83459, test acc: 0.67308,  test spe: 0.66667,  test sen: 0.67925 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=43, tm_sec=7, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 227, ce loss: 0.35826,   ce loss_cla: 0.35826,   train acc: 0.83566, test acc: 0.71154,  test spe: 0.64706,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=44, tm_sec=2, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 228, ce loss: 0.34706,   ce loss_cla: 0.34706,   train acc: 0.83673, test acc: 0.66346,  test spe: 0.45098,  test sen: 0.86792 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=44, tm_sec=58, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 229, ce loss: 0.36156,   ce loss_cla: 0.36156,   train acc: 0.82922, test acc: 0.63462,  test spe: 0.37255,  test sen: 0.88679 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=45, tm_sec=53, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 230, ce loss: 0.35874,   ce loss_cla: 0.35874,   train acc: 0.84318, test acc: 0.65385,  test spe: 0.45098,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=46, tm_sec=48, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 231, ce loss: 0.36240,   ce loss_cla: 0.36240,   train acc: 0.83566, test acc: 0.65385,  test spe: 0.52941,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=47, tm_sec=43, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 232, ce loss: 0.35887,   ce loss_cla: 0.35887,   train acc: 0.82170, test acc: 0.65385,  test spe: 0.52941,  test sen: 0.77358 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=48, tm_sec=38, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 233, ce loss: 0.34752,   ce loss_cla: 0.34752,   train acc: 0.85607, test acc: 0.63462,  test spe: 0.47059,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=49, tm_sec=34, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 234, ce loss: 0.34111,   ce loss_cla: 0.34111,   train acc: 0.84962, test acc: 0.65385,  test spe: 0.50980,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=50, tm_sec=29, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 235, ce loss: 0.32533,   ce loss_cla: 0.32533,   train acc: 0.85929, test acc: 0.65385,  test spe: 0.50980,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=51, tm_sec=24, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 236, ce loss: 0.31963,   ce loss_cla: 0.31963,   train acc: 0.84640, test acc: 0.66346,  test spe: 0.52941,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=52, tm_sec=19, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 237, ce loss: 0.34978,   ce loss_cla: 0.34978,   train acc: 0.83673, test acc: 0.64423,  test spe: 0.52941,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=53, tm_sec=14, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 238, ce loss: 0.32111,   ce loss_cla: 0.32111,   train acc: 0.86144, test acc: 0.67308,  test spe: 0.60784,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=54, tm_sec=9, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 239, ce loss: 0.33781,   ce loss_cla: 0.33781,   train acc: 0.83996, test acc: 0.65385,  test spe: 0.50980,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=55, tm_sec=5, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 240, ce loss: 0.31937,   ce loss_cla: 0.31937,   train acc: 0.85177, test acc: 0.63462,  test spe: 0.47059,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=56, tm_sec=0, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 241, ce loss: 0.34162,   ce loss_cla: 0.34162,   train acc: 0.85070, test acc: 0.64423,  test spe: 0.54902,  test sen: 0.73585 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=56, tm_sec=55, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 242, ce loss: 0.33199,   ce loss_cla: 0.33199,   train acc: 0.85499, test acc: 0.62500,  test spe: 0.45098,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=57, tm_sec=50, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 243, ce loss: 0.32422,   ce loss_cla: 0.32422,   train acc: 0.85070, test acc: 0.61538,  test spe: 0.31373,  test sen: 0.90566 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=58, tm_sec=46, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 244, ce loss: 0.31882,   ce loss_cla: 0.31882,   train acc: 0.85177, test acc: 0.61538,  test spe: 0.29412,  test sen: 0.92453 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=1, tm_min=59, tm_sec=41, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 245, ce loss: 0.31977,   ce loss_cla: 0.31977,   train acc: 0.86574, test acc: 0.63462,  test spe: 0.41176,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=2, tm_min=0, tm_sec=36, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 246, ce loss: 0.30038,   ce loss_cla: 0.30038,   train acc: 0.86788, test acc: 0.66346,  test spe: 0.56863,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=2, tm_min=1, tm_sec=32, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 247, ce loss: 0.30812,   ce loss_cla: 0.30812,   train acc: 0.85499, test acc: 0.66346,  test spe: 0.52941,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=2, tm_min=2, tm_sec=27, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 248, ce loss: 0.29853,   ce loss_cla: 0.29853,   train acc: 0.87218, test acc: 0.64423,  test spe: 0.39216,  test sen: 0.88679 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=2, tm_min=3, tm_sec=22, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 249, ce loss: 0.30024,   ce loss_cla: 0.30024,   train acc: 0.87003, test acc: 0.51923,  test spe: 0.96078,  test sen: 0.09434 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=2, tm_min=4, tm_sec=17, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 250, ce loss: 0.38088,   ce loss_cla: 0.38088,   train acc: 0.82599, test acc: 0.50962,  test spe: 0.96078,  test sen: 0.07547 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=2, tm_min=5, tm_sec=12, tm_wday=0, tm_yday=316, tm_isdst=0) 
......
Epoch: 900, ce loss: 0.53919,   ce loss_cla: 0.53919,   train acc: 0.71321, test acc: 0.54808,  test spe: 0.47059,  test sen: 0.62264 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=4, tm_sec=3, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 901, ce loss: 0.53893,   ce loss_cla: 0.53893,   train acc: 0.70892, test acc: 0.57692,  test spe: 0.49020,  test sen: 0.66038 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=4, tm_sec=58, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 902, ce loss: 0.54098,   ce loss_cla: 0.54098,   train acc: 0.70677, test acc: 0.54808,  test spe: 0.56863,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=5, tm_sec=54, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 903, ce loss: 0.52733,   ce loss_cla: 0.52733,   train acc: 0.72180, test acc: 0.56731,  test spe: 0.68627,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=6, tm_sec=49, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 904, ce loss: 0.54052,   ce loss_cla: 0.54052,   train acc: 0.71214, test acc: 0.57692,  test spe: 0.76471,  test sen: 0.39623 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=7, tm_sec=44, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 905, ce loss: 0.52077,   ce loss_cla: 0.52077,   train acc: 0.73899, test acc: 0.57692,  test spe: 0.82353,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=8, tm_sec=40, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 906, ce loss: 0.51539,   ce loss_cla: 0.51539,   train acc: 0.73147, test acc: 0.55769,  test spe: 0.86275,  test sen: 0.26415 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=9, tm_sec=35, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 907, ce loss: 0.52720,   ce loss_cla: 0.52720,   train acc: 0.73684, test acc: 0.58654,  test spe: 0.82353,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=10, tm_sec=30, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 908, ce loss: 0.50717,   ce loss_cla: 0.50717,   train acc: 0.74221, test acc: 0.58654,  test spe: 0.80392,  test sen: 0.37736 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=11, tm_sec=25, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 909, ce loss: 0.50296,   ce loss_cla: 0.50296,   train acc: 0.73577, test acc: 0.56731,  test spe: 0.80392,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=12, tm_sec=20, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 910, ce loss: 0.50314,   ce loss_cla: 0.50314,   train acc: 0.74973, test acc: 0.55769,  test spe: 0.78431,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=13, tm_sec=15, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 911, ce loss: 0.51053,   ce loss_cla: 0.51053,   train acc: 0.74221, test acc: 0.55769,  test spe: 0.78431,  test sen: 0.33962 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=14, tm_sec=10, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 912, ce loss: 0.48558,   ce loss_cla: 0.48558,   train acc: 0.75081, test acc: 0.55769,  test spe: 0.76471,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=15, tm_sec=6, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 913, ce loss: 0.48548,   ce loss_cla: 0.48548,   train acc: 0.77229, test acc: 0.55769,  test spe: 0.76471,  test sen: 0.35849 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=16, tm_sec=1, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 914, ce loss: 0.47654,   ce loss_cla: 0.47654,   train acc: 0.76584, test acc: 0.58654,  test spe: 0.72549,  test sen: 0.45283 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=16, tm_sec=56, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 915, ce loss: 0.47807,   ce loss_cla: 0.47807,   train acc: 0.75510, test acc: 0.60577,  test spe: 0.50980,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=17, tm_sec=51, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 916, ce loss: 0.47408,   ce loss_cla: 0.47408,   train acc: 0.76692, test acc: 0.59615,  test spe: 0.33333,  test sen: 0.84906 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=18, tm_sec=46, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 917, ce loss: 0.45607,   ce loss_cla: 0.45607,   train acc: 0.76477, test acc: 0.55769,  test spe: 0.27451,  test sen: 0.83019 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=19, tm_sec=42, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 918, ce loss: 0.46849,   ce loss_cla: 0.46849,   train acc: 0.75295, test acc: 0.58654,  test spe: 0.37255,  test sen: 0.79245 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=20, tm_sec=37, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 919, ce loss: 0.45788,   ce loss_cla: 0.45788,   train acc: 0.76262, test acc: 0.60577,  test spe: 0.50980,  test sen: 0.69811 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=21, tm_sec=33, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 920, ce loss: 0.45761,   ce loss_cla: 0.45761,   train acc: 0.77551, test acc: 0.61538,  test spe: 0.58824,  test sen: 0.64151 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=22, tm_sec=28, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 921, ce loss: 0.44707,   ce loss_cla: 0.44707,   train acc: 0.79270, test acc: 0.60577,  test spe: 0.64706,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=23, tm_sec=23, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 922, ce loss: 0.45069,   ce loss_cla: 0.45069,   train acc: 0.78733, test acc: 0.59615,  test spe: 0.66667,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=24, tm_sec=18, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 923, ce loss: 0.44504,   ce loss_cla: 0.44504,   train acc: 0.78518, test acc: 0.59615,  test spe: 0.66667,  test sen: 0.52830 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=25, tm_sec=13, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 924, ce loss: 0.44850,   ce loss_cla: 0.44850,   train acc: 0.77873, test acc: 0.58654,  test spe: 0.58824,  test sen: 0.58491 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=26, tm_sec=8, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 925, ce loss: 0.44020,   ce loss_cla: 0.44020,   train acc: 0.77658, test acc: 0.58654,  test spe: 0.60784,  test sen: 0.56604 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=27, tm_sec=4, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 926, ce loss: 0.43302,   ce loss_cla: 0.43302,   train acc: 0.78947, test acc: 0.59615,  test spe: 0.70588,  test sen: 0.49057 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=27, tm_sec=59, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 927, ce loss: 0.41378,   ce loss_cla: 0.41378,   train acc: 0.81310, test acc: 0.58654,  test spe: 0.76471,  test sen: 0.41509 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=28, tm_sec=55, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 928, ce loss: 0.42438,   ce loss_cla: 0.42438,   train acc: 0.80236, test acc: 0.61538,  test spe: 0.64706,  test sen: 0.58491 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=29, tm_sec=50, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 929, ce loss: 0.40423,   ce loss_cla: 0.40423,   train acc: 0.80881, test acc: 0.62500,  test spe: 0.49020,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=30, tm_sec=45, tm_wday=0, tm_yday=316, tm_isdst=0)
Epoch: 930, ce loss: 0.40195,   ce loss_cla: 0.40195,   train acc: 0.80988, test acc: 0.62500,  test spe: 0.49020,  test sen: 0.75472 time.struct_time(tm_year=2024, tm_mon=11, tm_mday=11, tm_hour=12, tm_min=31, tm_sec=41, tm_wday=0, tm_yday=316, tm_isdst=0)
jadeylove commented 2 weeks ago

@cibimo 你的数据集是哪里来的呀铁子，我也想跑通这个项目

cibimo commented 2 weeks ago

@cibimo 你的数据集是哪里来的呀铁子，我也想跑通这个项目

graph.py 里有注释

# Refer to the data download process: https://github.com/SamitHuang/EV_GCN and https://github.com/xxlya/BrainGNN_Pytorch.

ABIDE是https://github.com/xxlya/BrainGNN_Pytorch

附上一些配环境的代码（linux）

conda create -n FCHGNN python=3.8

pip install torch==1.7.0+cu110 --index-url https://download.pytorch.org/whl
pip install numpy==1.23.5
pip install torch-geometric==1.7.0
pip install torch-sparse==0.6.9 -f https://data.pyg.org/whl/torch-1.7.0+cu110.html
pip install torch-scatter==2.0.6 -f https://data.pyg.org/whl/torch-1.7.0+cu110.html
conda install cudatoolkit=11.0
pip install networkx==2.8.8

# RuntimeError: nvrtc: error: invalid value for --gpu-architecture (-arch) 后调整版本
conda install cudatoolkit=11.8
pip install torch==1.7.1+cu110 --index-url https://download.pytorch.org/whl
Guuuu11 commented 2 weeks ago

感谢讨论。第一个报错应该在subgraph.py文件中，大概率涉及包的版本问题。论文实验时使用的torch和pyg版本较旧。第二个训练问题，首先说明的FC-HGNN的时间复杂度较大，4090ti下十折交叉验证大概需要十几个小时。然后目前你的测试集acc达不到80%，我很难一下子看出哪里设置有问题。请对照论文中的描述检查一下超参、表型数据、模型中的pool和gcn层使用情况（可能是某个消融实验或者分析实验的设置），你也可尝试run一下MDD数据集看下结果。我会抽空去检查一下整理的代码是否有问题。但很抱歉，目前由于在工作，不能保证时效。

cibimo commented 2 weeks ago

非常感谢您的回复

我是根据 https://github.com/xxlya/BrainGNN_Pytorch/blob/main/requirements.txt 安装的包版本，刚才试着调了调 torch-geometric 的版本，再降会发生其他错误，我个人认为代码如果跑通过应该不需要修改，所以我倾向于数据集输入错误

下面是我的数据下载步骤： 我使用 BrainGNN_Pytorch 项目中的 01-fetch_data.py 下载了 ABIDE 数据集的 pipeline: cpac，atlas: ho 的数据，然后直接复制了 BrainGNN_Pytorch-main\data\ABIDE_pcp\cpac\filt_noglobal 文件夹到 FC-HGNN_Pytorch-ABIDE\input\data，没有运行 02-process_data.py

其中修改了 01-fetch_data.py 的参数以及路径，还有preprocess_data.py内的路径

parser.add_argument('--pipeline', default='cpac', type=str,
                        help='Pipeline to preprocess ABIDE data. Available options are ccs, cpac, dparsf and niak.'
                             ' default: cpac.')
parser.add_argument('--atlas', default='ho',
                        help='Brain parcellation atlas. Options: ho, cc200 and cc400, default: aal.')
jadeylove commented 1 week ago

@cibimo 哥们咋样，你这个实验复现得，成功得的话我还想请教一下你嘞

cibimo commented 1 week ago

@cibimo 哥们咋样，你这个实验复现得，成功得的话我还想请教一下你嘞

感觉等作者看看吧，我没复现成功（可以讨论讨论