Meta-causal/code-withStyleAttack/64943.log

/home/yuqian_fu
here1
here2
{'gpu': '0', 'data': 'art_painting', 'ntr': None, 'translate': None, 'autoaug': 'CA_multiple', 'n': 3, 'stride': 5, 'factor_num': 16, 'epochs': 70, 'nbatch': 100, 'batchsize': 6, 'lr': 0.01, 'lr_scheduler': 'cosine', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//art_painting/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_WithStyleAttackExp1', 'clsadapt': True, 'lambda_causal': 1.0, 'lambda_re': 1.0, 'randm': True, 'randn': True, 'network': 'resnet18'}
stride: 5
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/art_painting_train.hdf5 torch.Size([1840, 3, 227, 227]) torch.Size([1840])
--------------------------CA_multiple--------------------------
---------------------------16 factors-----------------
randm: True
randn: True
n: 3
randm: False
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/art_painting_val.hdf5 torch.Size([208, 3, 227, 227]) torch.Size([208])
-------------------------------------loading pretrain weights----------------------------------
Epoch 1, weight, value: tensor([[ 0.0106, -0.0051,  0.0193,  ...,  0.0075,  0.0158, -0.0062],
        [-0.0130, -0.0094, -0.0199,  ...,  0.0148,  0.0091,  0.0089],
        [ 0.0217,  0.0123, -0.0198,  ..., -0.0208,  0.0086, -0.0179],
        ...,
        [-0.0085, -0.0153,  0.0125,  ...,  0.0016,  0.0065,  0.0184],
        [ 0.0111, -0.0125,  0.0214,  ..., -0.0080,  0.0129, -0.0186],
        [-0.0095,  0.0164,  0.0024,  ..., -0.0037,  0.0123,  0.0207]],
       device='cuda:0'), grad: None
Epoch 1, bias, value: tensor([ 0.0156, -0.0099, -0.0060, -0.0064, -0.0070,  0.0143,  0.0059],
       device='cuda:0'), grad: None
306
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changing lr
---------------------saving model at epoch 0----------------------------------------------------
epoch 0, time 421.76, cls_loss 11.6044 cls_loss_mapping 1.8986 cls_loss_causal 1.9230 re_mapping 0.4058 re_causal 0.4051 /// teacc 43.27 lr 0.00999497
Epoch 2, weight, value: tensor([[ 0.1878,  0.1646,  0.2100,  ..., -0.0196,  0.0020, -0.0184],
        [-0.0649, -0.0708, -0.0772,  ...,  0.0933,  0.0843,  0.0784],
        [-0.0386, -0.0153, -0.0629,  ...,  0.0813,  0.0574,  0.0432],
        ...,
        [-0.0308, -0.0403, -0.0028,  ...,  0.0012,  0.0620,  0.0384],
        [ 0.0231,  0.0282,  0.0095,  ..., -0.1716, -0.1842, -0.2046],
        [-0.0140,  0.0138, -0.0027,  ..., -0.0242, -0.0221,  0.0152]],
       device='cuda:0'), grad: tensor([[-0.2456, -0.2186, -0.2211,  ..., -0.0522, -0.0388, -0.0158],
        [-0.0894, -0.0504, -0.0532,  ..., -0.0684, -0.0511, -0.0178],
        [ 0.0267,  0.0195,  0.0190,  ...,  0.0144,  0.0101,  0.0034],
        ...,
        [-0.0347, -0.0211, -0.0188,  ..., -0.0300, -0.0179, -0.0050],
        [ 0.0645,  0.0405,  0.0429,  ...,  0.0440,  0.0329,  0.0115],
        [ 0.2252,  0.1888,  0.1958,  ...,  0.0678,  0.0501,  0.0192]],
       device='cuda:0')
Epoch 2, bias, value: tensor([-0.0260,  0.0482, -0.0075, -0.0372,  0.0386, -0.0156,  0.0055],
       device='cuda:0'), grad: tensor([-0.2336, -0.2844,  0.0637,  0.0666, -0.1208,  0.2062,  0.3025],
       device='cuda:0')
306
0.009994965332706574
changing lr
epoch 1, time 424.69, cls_loss 2.0222 cls_loss_mapping 1.6048 cls_loss_causal 1.8042 re_mapping 0.1042 re_causal 0.1037 /// teacc 42.31 lr 0.00997987
Epoch 3, weight, value: tensor([[ 0.1727,  0.1568,  0.1972,  ..., -0.0276, -0.0070, -0.0236],
        [-0.1169, -0.1227, -0.1246,  ...,  0.0940,  0.0914,  0.0822],
        [-0.0560, -0.0360, -0.0763,  ...,  0.0755,  0.0478,  0.0340],
        ...,
        [-0.0177, -0.0277,  0.0238,  ..., -0.0073,  0.0621,  0.0368],
        [ 0.0245,  0.0343,  0.0103,  ..., -0.1734, -0.1889, -0.2067],
        [ 0.0536,  0.0736,  0.0462,  ..., -0.0229, -0.0228,  0.0129]],
       device='cuda:0'), grad: tensor([[ 4.2572e-02,  3.2379e-02,  3.3173e-02,  ...,  1.3580e-02,
          9.7656e-03,  4.5853e-03],
        [ 2.6875e-03,  1.4639e-03,  1.4391e-03,  ...,  1.2617e-03,
          9.5606e-04,  5.2929e-04],
        [ 1.7932e-01,  1.0278e-01,  1.1157e-01,  ...,  6.3354e-02,
          4.5898e-02,  2.2125e-02],
        ...,
        [-2.3206e-01, -1.4355e-01, -1.5369e-01,  ..., -7.8003e-02,
         -5.5969e-02, -2.5665e-02],
        [ 7.9679e-04,  4.0364e-04,  3.8266e-04,  ...,  3.4571e-04,
          2.4199e-04,  1.1581e-04],
        [ 4.0680e-02,  2.0706e-02,  2.0401e-02,  ...,  1.9073e-02,
          1.4320e-02,  7.4272e-03]], device='cuda:0')
Epoch 3, bias, value: tensor([-0.0599,  0.0352, -0.0025, -0.0539,  0.0827, -0.0219,  0.0262],
       device='cuda:0'), grad: tensor([ 0.0748,  0.0074,  0.2949, -0.1169, -0.3730,  0.0019,  0.1111],
       device='cuda:0')
306
0.009979871469976196
changing lr
epoch 2, time 425.75, cls_loss 1.2357 cls_loss_mapping 1.2540 cls_loss_causal 1.6276 re_mapping 0.0906 re_causal 0.0899 /// teacc 37.50 lr 0.00995475
Epoch 4, weight, value: tensor([[ 0.1852,  0.1727,  0.2084,  ..., -0.0183, -0.0016, -0.0191],
        [-0.1073, -0.1069, -0.1134,  ...,  0.0933,  0.0911,  0.0836],
        [-0.0701, -0.0514, -0.0840,  ...,  0.0735,  0.0460,  0.0309],
        ...,
        [-0.0694, -0.0779, -0.0236,  ..., -0.0143,  0.0575,  0.0329],
        [ 0.0138,  0.0213, -0.0054,  ..., -0.1757, -0.1922, -0.2086],
        [ 0.1033,  0.1200,  0.0955,  ..., -0.0222, -0.0174,  0.0177]],
       device='cuda:0'), grad: tensor([[-2.4323e-02, -1.7715e-02, -1.8951e-02,  ..., -3.5667e-03,
         -2.6474e-03, -1.3180e-03],
        [ 2.2745e-04,  1.7011e-04,  1.8191e-04,  ...,  2.9743e-05,
          2.2605e-05,  1.0028e-05],
        [ 2.1515e-03,  1.2884e-03,  1.3847e-03,  ...,  5.4646e-04,
          3.7622e-04,  2.5415e-04],
        ...,
        [ 1.3123e-02,  9.5825e-03,  1.0254e-02,  ...,  1.9026e-03,
          1.4153e-03,  6.9475e-04],
        [ 3.9124e-04,  3.5381e-04,  3.7313e-04,  ...,  8.3372e-06,
          1.3404e-05,  1.1101e-06],
        [ 6.6795e-03,  5.0278e-03,  5.3711e-03,  ...,  8.4639e-04,
          6.4564e-04,  2.7847e-04]], device='cuda:0')
Epoch 4, bias, value: tensor([-0.0368,  0.0249, -0.0431, -0.0514,  0.0937, -0.0193,  0.0377],
       device='cuda:0'), grad: tensor([-0.0337,  0.0003,  0.0039,  0.0023,  0.0181,  0.0003,  0.0088],
       device='cuda:0')
306
0.009954748808839675
changing lr
---------------------saving model at epoch 3----------------------------------------------------
epoch 3, time 431.13, cls_loss 0.8660 cls_loss_mapping 0.9373 cls_loss_causal 1.4483 re_mapping 0.0863 re_causal 0.0854 /// teacc 48.56 lr 0.00991965
Epoch 5, weight, value: tensor([[ 0.1969,  0.1932,  0.2240,  ..., -0.0106,  0.0083, -0.0084],
        [-0.1106, -0.1103, -0.1220,  ...,  0.0942,  0.0883,  0.0799],
        [-0.0832, -0.0670, -0.0937,  ...,  0.0688,  0.0420,  0.0268],
        ...,
        [-0.0814, -0.0917, -0.0321,  ..., -0.0199,  0.0522,  0.0261],
        [ 0.0065,  0.0142, -0.0115,  ..., -0.1784, -0.1959, -0.2123],
        [ 0.1163,  0.1315,  0.1102,  ..., -0.0206, -0.0112,  0.0235]],
       device='cuda:0'), grad: tensor([[ 5.9433e-03,  2.8019e-03,  2.9926e-03,  ...,  1.8187e-03,
          1.3828e-03,  1.1148e-03],
        [-5.0812e-02, -2.6550e-02, -2.8870e-02,  ..., -1.4725e-02,
         -1.0307e-02, -8.5678e-03],
        [ 4.2009e-04,  1.5187e-04,  1.5056e-04,  ...,  1.4293e-04,
          1.2743e-04,  9.7096e-05],
        ...,
        [ 5.1514e-02,  2.4612e-02,  2.6321e-02,  ...,  1.5656e-02,
          1.1826e-02,  9.5596e-03],
        [-1.1978e-02, -2.7523e-03, -2.3022e-03,  ..., -4.5547e-03,
         -4.4975e-03, -3.3283e-03],
        [ 3.6449e-03,  1.3599e-03,  1.3704e-03,  ...,  1.2245e-03,
          1.0624e-03,  8.1873e-04]], device='cuda:0')
Epoch 5, bias, value: tensor([-0.0341,  0.0254, -0.0705, -0.0229,  0.1050, -0.0339,  0.0366],
       device='cuda:0'), grad: tensor([ 0.0132, -0.0865,  0.0014,  0.0052,  0.1113, -0.0564,  0.0118],
       device='cuda:0')
306
0.009919647942993149
changing lr
---------------------saving model at epoch 4----------------------------------------------------
epoch 4, time 432.30, cls_loss 0.6247 cls_loss_mapping 0.7047 cls_loss_causal 1.2669 re_mapping 0.0851 re_causal 0.0840 /// teacc 72.12 lr 0.00987464
Epoch 6, weight, value: tensor([[ 0.1957,  0.1933,  0.2247,  ..., -0.0115,  0.0068, -0.0090],
        [-0.1062, -0.1071, -0.1227,  ...,  0.0857,  0.0783,  0.0707],
        [-0.0818, -0.0668, -0.0912,  ...,  0.0748,  0.0483,  0.0343],
        ...,
        [-0.0890, -0.1005, -0.0373,  ..., -0.0144,  0.0582,  0.0325],
        [-0.0086,  0.0016, -0.0259,  ..., -0.1826, -0.1993, -0.2163],
        [ 0.1395,  0.1505,  0.1312,  ..., -0.0195, -0.0080,  0.0255]],
       device='cuda:0'), grad: tensor([[ 0.0750,  0.0472,  0.0440,  ...,  0.0164,  0.0148,  0.0158],
        [-0.0565, -0.0350, -0.0352,  ..., -0.0148, -0.0146, -0.0162],
        [ 0.0156,  0.0057,  0.0061,  ...,  0.0040,  0.0032,  0.0034],
        ...,
        [ 0.0461,  0.0297,  0.0238,  ...,  0.0068,  0.0044,  0.0037],
        [-0.0116, -0.0024, -0.0030,  ..., -0.0031, -0.0021, -0.0022],
        [-0.0692, -0.0453, -0.0359,  ..., -0.0096, -0.0058, -0.0047]],
       device='cuda:0')
Epoch 6, bias, value: tensor([-0.0279,  0.0292, -0.0618, -0.0331,  0.0900, -0.0454,  0.0549],
       device='cuda:0'), grad: tensor([ 0.1162, -0.0898,  0.0411,  0.0019,  0.0696, -0.0381, -0.1008],
       device='cuda:0')
306
0.009874639560909117
changing lr
epoch 5, time 426.44, cls_loss 0.4380 cls_loss_mapping 0.5281 cls_loss_causal 1.2226 re_mapping 0.0861 re_causal 0.0850 /// teacc 42.31 lr 0.00981981
Epoch 7, weight, value: tensor([[ 0.2098,  0.2093,  0.2438,  ..., -0.0112,  0.0055, -0.0106],
        [-0.0974, -0.0969, -0.1146,  ...,  0.0915,  0.0849,  0.0769],
        [-0.0816, -0.0701, -0.0943,  ...,  0.0685,  0.0410,  0.0278],
        ...,
        [-0.1026, -0.1140, -0.0502,  ..., -0.0106,  0.0625,  0.0370],
        [-0.0079,  0.0012, -0.0266,  ..., -0.1819, -0.1995, -0.2156],
        [ 0.1374,  0.1491,  0.1289,  ..., -0.0233, -0.0101,  0.0223]],
       device='cuda:0'), grad: tensor([[-0.0735, -0.0327, -0.0339,  ..., -0.0254, -0.0235, -0.0245],
        [ 0.0145,  0.0052,  0.0056,  ...,  0.0056,  0.0052,  0.0054],
        [-0.0057, -0.0010, -0.0008,  ..., -0.0023, -0.0022, -0.0022],
        ...,
        [ 0.0115,  0.0060,  0.0061,  ...,  0.0034,  0.0032,  0.0033],
        [ 0.0025,  0.0004,  0.0004,  ...,  0.0010,  0.0009,  0.0009],
        [ 0.0484,  0.0214,  0.0222,  ...,  0.0167,  0.0155,  0.0161]],
       device='cuda:0')
Epoch 7, bias, value: tensor([-0.0215,  0.0466, -0.0830, -0.0234,  0.0787, -0.0530,  0.0614],
       device='cuda:0'), grad: tensor([-0.1722,  0.0393, -0.0172,  0.0070,  0.0224,  0.0075,  0.1133],
       device='cuda:0')
306
0.009819814303479266
changing lr
---------------------saving model at epoch 6----------------------------------------------------
epoch 6, time 427.73, cls_loss 0.3658 cls_loss_mapping 0.4601 cls_loss_causal 1.1575 re_mapping 0.0819 re_causal 0.0808 /// teacc 78.85 lr 0.00975528
Epoch 8, weight, value: tensor([[ 0.2240,  0.2268,  0.2634,  ..., -0.0166,  0.0008, -0.0141],
        [-0.0867, -0.0825, -0.1027,  ...,  0.0913,  0.0859,  0.0786],
        [-0.0880, -0.0760, -0.0994,  ...,  0.0664,  0.0399,  0.0277],
        ...,
        [-0.1128, -0.1233, -0.0609,  ..., -0.0075,  0.0650,  0.0393],
        [-0.0067,  0.0008, -0.0251,  ..., -0.1829, -0.1997, -0.2169],
        [ 0.1252,  0.1315,  0.1129,  ..., -0.0217, -0.0112,  0.0210]],
       device='cuda:0'), grad: tensor([[-1.6870e-03, -1.3332e-03, -9.8896e-04,  ..., -2.5082e-04,
         -2.2459e-04, -2.6464e-04],
        [ 2.4211e-04,  6.1810e-05,  4.8459e-05,  ...,  1.4257e-04,
          1.3053e-04,  1.4758e-04],
        [ 2.3880e-03,  1.4086e-03,  1.0519e-03,  ...,  7.5197e-04,
          6.8378e-04,  7.8249e-04],
        ...,
        [ 8.5688e-04,  1.7285e-04,  1.3876e-04,  ...,  5.4407e-04,
          4.9782e-04,  5.6219e-04],
        [-1.4257e-04, -3.1739e-05, -2.5257e-06,  ..., -5.1796e-05,
         -5.4002e-05, -5.2422e-05],
        [ 4.9734e-04,  1.1754e-04,  9.1851e-05,  ...,  3.0231e-04,
          2.7633e-04,  3.1233e-04]], device='cuda:0')
Epoch 8, bias, value: tensor([-0.0263,  0.0549, -0.0846, -0.0161,  0.0702, -0.0534,  0.0610],
       device='cuda:0'), grad: tensor([-0.0018,  0.0007,  0.0042, -0.0068,  0.0026, -0.0004,  0.0015],
       device='cuda:0')
306
0.009755282581475767
changing lr
epoch 7, time 428.13, cls_loss 0.3124 cls_loss_mapping 0.3850 cls_loss_causal 1.0907 re_mapping 0.0829 re_causal 0.0819 /// teacc 77.88 lr 0.00968117
Epoch 9, weight, value: tensor([[ 0.2525,  0.2555,  0.2922,  ..., -0.0049,  0.0127, -0.0029],
        [-0.0902, -0.0873, -0.1086,  ...,  0.0879,  0.0829,  0.0759],
        [-0.0888, -0.0797, -0.1016,  ...,  0.0671,  0.0397,  0.0283],
        ...,
        [-0.1185, -0.1264, -0.0642,  ..., -0.0080,  0.0637,  0.0385],
        [-0.0113, -0.0028, -0.0307,  ..., -0.1846, -0.2024, -0.2191],
        [ 0.1178,  0.1233,  0.1060,  ..., -0.0286, -0.0175,  0.0142]],
       device='cuda:0'), grad: tensor([[ 2.7314e-05, -1.1764e-05, -1.4231e-05,  ...,  2.3901e-05,
          2.5332e-05,  2.7269e-05],
        [ 3.2067e-04,  1.0395e-04,  6.3479e-05,  ...,  1.3578e-04,
          1.5271e-04,  1.6749e-04],
        [-8.8024e-04, -2.0969e-04, -1.2898e-04,  ..., -3.6907e-04,
         -3.9673e-04, -4.4155e-04],
        ...,
        [ 2.5272e-05,  4.2580e-06,  2.9281e-06,  ...,  1.1168e-05,
          1.1407e-05,  1.2547e-05],
        [ 5.6177e-05,  1.7658e-05,  1.0453e-05,  ...,  2.3872e-05,
          2.6867e-05,  2.9534e-05],
        [ 8.3685e-05,  2.6420e-05,  2.0012e-05,  ...,  3.2485e-05,
          3.4392e-05,  3.7998e-05]], device='cuda:0')
Epoch 9, bias, value: tensor([-0.0317,  0.0606, -0.0707, -0.0167,  0.0594, -0.0630,  0.0678],
       device='cuda:0'), grad: tensor([ 1.6165e-04,  1.2770e-03, -3.2120e-03,  1.1988e-03,  8.2850e-05,
         2.2674e-04,  2.6727e-04], device='cuda:0')
306
0.009681174353198686
changing lr
epoch 8, time 424.95, cls_loss 0.2002 cls_loss_mapping 0.3516 cls_loss_causal 1.0047 re_mapping 0.0820 re_causal 0.0811 /// teacc 33.65 lr 0.00959764
Epoch 10, weight, value: tensor([[ 0.2614,  0.2600,  0.2987,  ..., -0.0098,  0.0075, -0.0080],
        [-0.0923, -0.0862, -0.1080,  ...,  0.0822,  0.0782,  0.0712],
        [-0.0955, -0.0838, -0.1060,  ...,  0.0645,  0.0378,  0.0267],
        ...,
        [-0.1192, -0.1275, -0.0653,  ..., -0.0048,  0.0652,  0.0409],
        [-0.0104, -0.0028, -0.0313,  ..., -0.1847, -0.2024, -0.2193],
        [ 0.1168,  0.1226,  0.1041,  ..., -0.0272, -0.0155,  0.0157]],
       device='cuda:0'), grad: tensor([[ 2.3193e-03,  1.1292e-03,  1.1568e-03,  ...,  1.0481e-03,
          1.2121e-03,  1.2636e-03],
        [ 2.1305e-03,  1.9920e-04,  2.6274e-04,  ...,  1.1711e-03,
          1.3361e-03,  1.3800e-03],
        [-5.6152e-03, -1.1911e-03, -1.2016e-03,  ..., -2.9316e-03,
         -3.5038e-03, -3.5591e-03],
        ...,
        [-1.7195e-03, -1.0481e-03, -1.0672e-03,  ..., -7.2527e-04,
         -8.3351e-04, -8.7643e-04],
        [-7.3552e-05, -1.5363e-05, -6.2399e-06,  ..., -2.7969e-05,
         -3.7313e-05, -3.1382e-05],
        [ 4.4250e-04,  7.7963e-05,  8.1897e-05,  ...,  2.3389e-04,
          2.7561e-04,  2.8086e-04]], device='cuda:0')
Epoch 10, bias, value: tensor([-0.0325,  0.0560, -0.0762, -0.0128,  0.0681, -0.0589,  0.0619],
       device='cuda:0'), grad: tensor([ 0.0045,  0.0079, -0.0192,  0.0078, -0.0023, -0.0003,  0.0016],
       device='cuda:0')
306
0.009597638862757255
changing lr
---------------------saving model at epoch 9----------------------------------------------------
epoch 9, time 428.66, cls_loss 0.1527 cls_loss_mapping 0.2936 cls_loss_causal 0.9805 re_mapping 0.0773 re_causal 0.0766 /// teacc 84.13 lr 0.00950484
Epoch 11, weight, value: tensor([[ 0.2543,  0.2539,  0.2933,  ..., -0.0140,  0.0034, -0.0122],
        [-0.0843, -0.0777, -0.1006,  ...,  0.0825,  0.0791,  0.0716],
        [-0.0936, -0.0842, -0.1065,  ...,  0.0610,  0.0347,  0.0243],
        ...,
        [-0.1203, -0.1270, -0.0658,  ..., -0.0010,  0.0682,  0.0443],
        [-0.0038,  0.0005, -0.0281,  ..., -0.1811, -0.1990, -0.2157],
        [ 0.1156,  0.1199,  0.1026,  ..., -0.0263, -0.0146,  0.0164]],
       device='cuda:0'), grad: tensor([[ 2.4765e-02,  6.7558e-03,  6.9962e-03,  ...,  1.8234e-02,
          1.8661e-02,  1.9272e-02],
        [ 4.1313e-03,  1.1272e-03,  1.1683e-03,  ...,  3.0441e-03,
          3.1166e-03,  3.2177e-03],
        [ 7.8964e-03,  2.1553e-03,  2.2316e-03,  ...,  5.8098e-03,
          5.9509e-03,  6.1417e-03],
        ...,
        [-3.7140e-02, -1.0139e-02, -1.0498e-02,  ..., -2.7344e-02,
         -2.7985e-02, -2.8900e-02],
        [ 1.7428e-04,  4.7594e-05,  4.9263e-05,  ...,  1.2815e-04,
          1.3125e-04,  1.3554e-04],
        [ 8.5831e-05,  2.3320e-05,  2.4110e-05,  ...,  6.3360e-05,
          6.4850e-05,  6.6936e-05]], device='cuda:0')
Epoch 11, bias, value: tensor([-0.0377,  0.0606, -0.0670, -0.0292,  0.0683, -0.0484,  0.0588],
       device='cuda:0'), grad: tensor([ 0.0754,  0.0126,  0.0241,  0.0003, -0.1132,  0.0005,  0.0003],
       device='cuda:0')
306
0.009504844339512096
changing lr
epoch 10, time 432.92, cls_loss 0.1024 cls_loss_mapping 0.2664 cls_loss_causal 0.9671 re_mapping 0.0781 re_causal 0.0776 /// teacc 78.85 lr 0.00940298
Epoch 12, weight, value: tensor([[ 0.2556,  0.2549,  0.2939,  ..., -0.0154,  0.0019, -0.0134],
        [-0.0869, -0.0772, -0.1012,  ...,  0.0757,  0.0722,  0.0644],
        [-0.0960, -0.0876, -0.1101,  ...,  0.0613,  0.0361,  0.0255],
        ...,
        [-0.1176, -0.1258, -0.0646,  ...,  0.0041,  0.0723,  0.0490],
        [-0.0108, -0.0027, -0.0305,  ..., -0.1790, -0.1969, -0.2136],
        [ 0.1190,  0.1213,  0.1047,  ..., -0.0270, -0.0154,  0.0159]],
       device='cuda:0'), grad: tensor([[ 4.6939e-06, -6.5342e-06, -7.6517e-06,  ...,  2.5146e-06,
          3.9227e-06,  4.4741e-06],
        [ 2.5302e-05,  8.0988e-06,  5.8897e-06,  ...,  4.1500e-06,
          5.7928e-06,  6.3777e-06],
        [ 6.5279e-04,  9.4473e-05,  5.7399e-05,  ...,  3.0136e-04,
          3.3832e-04,  3.9124e-04],
        ...,
        [-3.4866e-03, -3.1996e-04, -1.4079e-04,  ..., -1.8482e-03,
         -2.0466e-03, -2.3766e-03],
        [-6.5207e-05, -2.3693e-05, -1.9684e-05,  ..., -6.7875e-06,
         -3.9041e-06, -1.0878e-06],
        [-1.3351e-04, -4.1932e-05, -2.8417e-05,  ..., -1.0617e-05,
         -1.9982e-05, -2.1055e-05]], device='cuda:0')
Epoch 12, bias, value: tensor([-0.0359,  0.0466, -0.0613, -0.0207,  0.0722, -0.0636,  0.0679],
       device='cuda:0'), grad: tensor([ 3.7521e-05,  6.2823e-05,  1.5831e-03,  7.4615e-03, -8.5754e-03,
        -2.2757e-04, -3.4595e-04], device='cuda:0')
306
0.009402977659283692
changing lr
epoch 11, time 428.82, cls_loss 0.1045 cls_loss_mapping 0.2426 cls_loss_causal 0.9590 re_mapping 0.0746 re_causal 0.0742 /// teacc 73.08 lr 0.00929224
Epoch 13, weight, value: tensor([[ 0.2544,  0.2549,  0.2941,  ..., -0.0189, -0.0027, -0.0172],
        [-0.0718, -0.0682, -0.0925,  ...,  0.0745,  0.0723,  0.0643],
        [-0.0980, -0.0885, -0.1105,  ...,  0.0600,  0.0352,  0.0247],
        ...,
        [-0.1210, -0.1289, -0.0685,  ...,  0.0058,  0.0737,  0.0503],
        [-0.0109, -0.0042, -0.0327,  ..., -0.1759, -0.1932, -0.2096],
        [ 0.1122,  0.1174,  0.1006,  ..., -0.0270, -0.0160,  0.0152]],
       device='cuda:0'), grad: tensor([[-3.5858e-03, -1.9474e-03, -1.8644e-03,  ..., -1.1988e-03,
         -1.4086e-03, -1.4277e-03],
        [ 3.4409e-03,  1.7090e-03,  1.6346e-03,  ...,  1.1806e-03,
          1.3924e-03,  1.4219e-03],
        [-1.8692e-03, -2.7037e-04, -2.5535e-04,  ..., -6.8378e-04,
         -8.3160e-04, -9.0551e-04],
        ...,
        [ 3.8457e-04,  1.0127e-04,  9.6619e-05,  ...,  1.2803e-04,
          1.5509e-04,  1.6749e-04],
        [ 8.3780e-04,  1.4365e-04,  1.3626e-04,  ...,  3.0255e-04,
          3.6740e-04,  3.9887e-04],
        [ 1.8275e-04,  4.3809e-05,  4.1515e-05,  ...,  6.1333e-05,
          7.4029e-05,  8.0884e-05]], device='cuda:0')
Epoch 13, bias, value: tensor([-0.0398,  0.0663, -0.0684, -0.0271,  0.0654, -0.0569,  0.0658],
       device='cuda:0'), grad: tensor([-0.0050,  0.0056, -0.0061,  0.0013,  0.0010,  0.0026,  0.0005],
       device='cuda:0')
306
0.009292243968009333
changing lr
---------------------saving model at epoch 12----------------------------------------------------
epoch 12, time 433.28, cls_loss 0.1435 cls_loss_mapping 0.2366 cls_loss_causal 0.9508 re_mapping 0.0761 re_causal 0.0760 /// teacc 84.62 lr 0.00917287
Epoch 14, weight, value: tensor([[ 0.2648,  0.2631,  0.3023,  ..., -0.0203, -0.0039, -0.0183],
        [-0.0708, -0.0647, -0.0908,  ...,  0.0738,  0.0713,  0.0633],
        [-0.1016, -0.0902, -0.1106,  ...,  0.0580,  0.0337,  0.0228],
        ...,
        [-0.1377, -0.1389, -0.0794,  ...,  0.0060,  0.0728,  0.0497],
        [-0.0093, -0.0050, -0.0338,  ..., -0.1737, -0.1908, -0.2077],
        [ 0.1134,  0.1155,  0.1006,  ..., -0.0270, -0.0161,  0.0155]],
       device='cuda:0'), grad: tensor([[-1.0452e-02, -4.9820e-03, -4.7569e-03,  ..., -1.1320e-03,
         -1.4286e-03, -1.5659e-03],
        [ 9.8109e-05,  4.7505e-05,  4.5270e-05,  ...,  1.0222e-05,
          1.2979e-05,  1.4357e-05],
        [ 4.1217e-05,  1.9357e-05,  1.8522e-05,  ...,  4.6566e-06,
          5.8375e-06,  6.3404e-06],
        ...,
        [ 1.2827e-03,  6.1560e-04,  5.8699e-04,  ...,  1.3649e-04,
          1.7273e-04,  1.9014e-04],
        [ 6.7101e-03,  3.0994e-03,  2.9678e-03,  ...,  7.8487e-04,
          9.7942e-04,  1.0557e-03],
        [ 1.6441e-03,  8.8120e-04,  8.3113e-04,  ...,  1.2231e-04,
          1.6546e-04,  1.9848e-04]], device='cuda:0')
Epoch 14, bias, value: tensor([-0.0348,  0.0573, -0.0797, -0.0097,  0.0495, -0.0497,  0.0722],
       device='cuda:0'), grad: tensor([-1.6800e-02,  1.5473e-04,  6.7532e-05,  1.0681e-03,  2.0447e-03,
         1.1192e-02,  2.2488e-03], device='cuda:0')
306
0.009172866268606516
changing lr
epoch 13, time 428.41, cls_loss 0.0724 cls_loss_mapping 0.2087 cls_loss_causal 0.9581 re_mapping 0.0757 re_causal 0.0758 /// teacc 82.21 lr 0.00904508
Epoch 15, weight, value: tensor([[ 0.2678,  0.2653,  0.3044,  ..., -0.0203, -0.0042, -0.0183],
        [-0.0688, -0.0640, -0.0901,  ...,  0.0728,  0.0709,  0.0626],
        [-0.1001, -0.0903, -0.1106,  ...,  0.0604,  0.0366,  0.0265],
        ...,
        [-0.1351, -0.1369, -0.0781,  ...,  0.0080,  0.0743,  0.0514],
        [-0.0108, -0.0065, -0.0349,  ..., -0.1723, -0.1900, -0.2064],
        [ 0.1121,  0.1141,  0.0995,  ..., -0.0277, -0.0169,  0.0143]],
       device='cuda:0'), grad: tensor([[ 1.1940e-02,  4.6654e-03,  3.6144e-03,  ...,  3.5648e-03,
          3.6526e-03,  4.1809e-03],
        [ 7.1526e-04,  2.5606e-04,  1.9670e-04,  ...,  2.4796e-04,
          2.5439e-04,  2.9278e-04],
        [ 3.0756e-04,  9.9123e-05,  7.3135e-05,  ...,  1.2970e-04,
          1.3614e-04,  1.5116e-04],
        ...,
        [-1.6800e-02, -6.4583e-03, -4.9934e-03,  ..., -5.1765e-03,
         -5.3024e-03, -6.0768e-03],
        [ 3.9649e-04,  1.4973e-04,  1.1551e-04,  ...,  1.2648e-04,
          1.2982e-04,  1.4853e-04],
        [ 3.3360e-03,  1.2503e-03,  9.6607e-04,  ...,  1.0710e-03,
          1.0958e-03,  1.2627e-03]], device='cuda:0')
Epoch 15, bias, value: tensor([-0.0334,  0.0568, -0.0657, -0.0270,  0.0542, -0.0515,  0.0717],
       device='cuda:0'), grad: tensor([ 0.0220,  0.0015,  0.0007,  0.0002, -0.0316,  0.0008,  0.0065],
       device='cuda:0')
306
0.00904508497187474
changing lr
epoch 14, time 427.18, cls_loss 0.0752 cls_loss_mapping 0.2063 cls_loss_causal 0.9385 re_mapping 0.0745 re_causal 0.0746 /// teacc 77.88 lr 0.00890916
Epoch 16, weight, value: tensor([[ 0.2597,  0.2606,  0.2997,  ..., -0.0224, -0.0069, -0.0210],
        [-0.0762, -0.0676, -0.0934,  ...,  0.0694,  0.0677,  0.0592],
        [-0.0925, -0.0868, -0.1069,  ...,  0.0608,  0.0379,  0.0282],
        ...,
        [-0.1296, -0.1333, -0.0759,  ...,  0.0107,  0.0755,  0.0534],
        [-0.0116, -0.0077, -0.0362,  ..., -0.1713, -0.1888, -0.2052],
        [ 0.1154,  0.1160,  0.1024,  ..., -0.0267, -0.0156,  0.0152]],
       device='cuda:0'), grad: tensor([[-1.1276e-02, -7.5569e-03, -7.1335e-03,  ..., -9.6512e-04,
         -1.2064e-03, -1.4009e-03],
        [ 9.4399e-06,  6.8583e-06,  6.3330e-06,  ...,  1.8068e-06,
          1.8124e-06,  1.7043e-06],
        [ 3.1776e-03,  1.9855e-03,  1.8578e-03,  ...,  3.5858e-04,
          4.3797e-04,  4.9114e-04],
        ...,
        [-5.6791e-04, -1.5104e-04, -1.1533e-04,  ..., -1.8704e-04,
         -2.1851e-04, -2.2566e-04],
        [ 1.1760e-04,  4.9055e-05,  4.1932e-05,  ...,  2.5496e-05,
          3.0220e-05,  3.1352e-05],
        [ 8.4915e-03,  5.6458e-03,  5.3215e-03,  ...,  7.5531e-04,
          9.4271e-04,  1.0891e-03]], device='cuda:0')
Epoch 16, bias, value: tensor([-0.0451,  0.0468, -0.0566, -0.0274,  0.0629, -0.0538,  0.0782],
       device='cuda:0'), grad: tensor([-1.2550e-02,  7.4729e-06,  4.0016e-03,  7.3373e-05, -1.3828e-03,
         2.2531e-04,  9.6130e-03], device='cuda:0')
306
0.008909157412340152
changing lr
epoch 15, time 429.27, cls_loss 0.0493 cls_loss_mapping 0.1644 cls_loss_causal 0.8087 re_mapping 0.0737 re_causal 0.0738 /// teacc 84.13 lr 0.00876536
Epoch 17, weight, value: tensor([[ 0.2622,  0.2626,  0.3013,  ..., -0.0197, -0.0045, -0.0183],
        [-0.0737, -0.0665, -0.0920,  ...,  0.0687,  0.0676,  0.0594],
        [-0.1002, -0.0888, -0.1083,  ...,  0.0566,  0.0336,  0.0238],
        ...,
        [-0.1308, -0.1338, -0.0773,  ...,  0.0105,  0.0745,  0.0524],
        [-0.0091, -0.0070, -0.0355,  ..., -0.1685, -0.1859, -0.2023],
        [ 0.1094,  0.1124,  0.0990,  ..., -0.0280, -0.0173,  0.0129]],
       device='cuda:0'), grad: tensor([[ 3.2349e-03,  9.7322e-04,  1.0643e-03,  ...,  9.9182e-04,
          1.1444e-03,  1.1063e-03],
        [ 1.0931e-04,  3.7700e-05,  2.9683e-05,  ...,  3.7044e-05,
          4.3064e-05,  4.2886e-05],
        [ 3.2806e-04,  1.1384e-04,  1.1349e-04,  ...,  1.0669e-04,
          1.2398e-04,  1.2791e-04],
        ...,
        [-9.7275e-03, -3.2368e-03, -3.2558e-03,  ..., -3.1281e-03,
         -3.6716e-03, -3.7193e-03],
        [ 2.3975e-03,  7.9107e-04,  8.0633e-04,  ...,  7.6532e-04,
          8.9788e-04,  9.0694e-04],
        [ 4.2582e-04,  1.5390e-04,  1.4496e-04,  ...,  1.4293e-04,
          1.7035e-04,  1.7917e-04]], device='cuda:0')
Epoch 17, bias, value: tensor([-0.0407,  0.0508, -0.0761, -0.0104,  0.0615, -0.0460,  0.0660],
       device='cuda:0'), grad: tensor([ 0.0076,  0.0002,  0.0007,  0.0070, -0.0219,  0.0054,  0.0009],
       device='cuda:0')
306
0.00876535733001806
changing lr
epoch 16, time 430.23, cls_loss 0.0479 cls_loss_mapping 0.1632 cls_loss_causal 0.8588 re_mapping 0.0722 re_causal 0.0726 /// teacc 83.65 lr 0.00861397
Epoch 18, weight, value: tensor([[ 0.2592,  0.2595,  0.2979,  ..., -0.0207, -0.0055, -0.0192],
        [-0.0728, -0.0663, -0.0919,  ...,  0.0676,  0.0669,  0.0586],
        [-0.0975, -0.0859, -0.1046,  ...,  0.0558,  0.0330,  0.0236],
        ...,
        [-0.1267, -0.1304, -0.0751,  ...,  0.0126,  0.0759,  0.0540],
        [-0.0114, -0.0086, -0.0370,  ..., -0.1673, -0.1846, -0.2010],
        [ 0.1103,  0.1118,  0.0986,  ..., -0.0272, -0.0167,  0.0132]],
       device='cuda:0'), grad: tensor([[ 1.6737e-04,  5.5701e-05,  5.5939e-05,  ...,  5.0575e-05,
          5.4538e-05,  6.0648e-05],
        [ 4.0913e-04,  1.3793e-04,  1.3995e-04,  ...,  1.1837e-04,
          1.2434e-04,  1.3864e-04],
        [-6.3133e-03, -1.0328e-03, -1.0738e-03,  ..., -2.9068e-03,
         -2.9488e-03, -3.3131e-03],
        ...,
        [ 5.3711e-03,  8.8596e-04,  9.2173e-04,  ...,  2.4643e-03,
          2.5005e-03,  2.8095e-03],
        [ 1.8072e-04,  4.8667e-05,  4.9621e-05,  ...,  6.4075e-05,
          6.6817e-05,  7.4565e-05],
        [-3.5214e-04, -2.0921e-04, -2.0885e-04,  ..., -1.7747e-05,
         -3.2753e-05, -3.3498e-05]], device='cuda:0')
Epoch 18, bias, value: tensor([-0.0402,  0.0505, -0.0748, -0.0158,  0.0623, -0.0484,  0.0714],
       device='cuda:0'), grad: tensor([ 0.0004,  0.0009, -0.0178,  0.0014,  0.0151,  0.0004, -0.0005],
       device='cuda:0')
306
0.008613974319136962
changing lr
epoch 17, time 429.92, cls_loss 0.0243 cls_loss_mapping 0.1391 cls_loss_causal 0.8789 re_mapping 0.0726 re_causal 0.0731 /// teacc 83.17 lr 0.00845531
Epoch 19, weight, value: tensor([[ 0.2583,  0.2586,  0.2964,  ..., -0.0196, -0.0048, -0.0185],
        [-0.0752, -0.0660, -0.0914,  ...,  0.0652,  0.0644,  0.0560],
        [-0.0976, -0.0868, -0.1054,  ...,  0.0534,  0.0304,  0.0213],
        ...,
        [-0.1255, -0.1298, -0.0747,  ...,  0.0132,  0.0766,  0.0549],
        [-0.0113, -0.0088, -0.0373,  ..., -0.1651, -0.1825, -0.1985],
        [ 0.1100,  0.1122,  0.0997,  ..., -0.0276, -0.0173,  0.0123]],
       device='cuda:0'), grad: tensor([[ 1.8403e-06, -8.6240e-07, -1.1362e-06,  ...,  1.7639e-06,
          1.7975e-06,  2.0228e-06],
        [ 8.0653e-07,  2.6636e-07,  1.9558e-07,  ...,  2.4587e-07,
          2.5518e-07,  2.9616e-07],
        [ 1.5311e-06,  3.5390e-07,  1.6950e-07,  ...,  6.5006e-07,
          5.9977e-07,  7.3202e-07],
        ...,
        [-3.5584e-05, -6.4559e-06, -2.1216e-06,  ..., -1.6674e-05,
         -1.6719e-05, -1.9029e-05],
        [-7.9721e-07, -1.6205e-07, -3.1292e-07,  ...,  3.2410e-07,
          2.8685e-07,  2.4214e-07],
        [ 9.9838e-07,  6.4634e-07,  5.4948e-07,  ...,  1.3597e-07,
          1.3970e-07,  1.5274e-07]], device='cuda:0')
Epoch 19, bias, value: tensor([-0.0405,  0.0421, -0.0691, -0.0113,  0.0613, -0.0455,  0.0680],
       device='cuda:0'), grad: tensor([ 8.4639e-06,  1.9073e-06,  3.9414e-06,  8.4400e-05, -9.7275e-05,
        -2.9840e-06,  1.5069e-06], device='cuda:0')
306
0.008455313244934327
changing lr
epoch 18, time 426.88, cls_loss 0.0267 cls_loss_mapping 0.1306 cls_loss_causal 0.8283 re_mapping 0.0700 re_causal 0.0706 /// teacc 84.62 lr 0.00828969
Epoch 20, weight, value: tensor([[ 0.2555,  0.2564,  0.2938,  ..., -0.0193, -0.0046, -0.0181],
        [-0.0724, -0.0644, -0.0896,  ...,  0.0648,  0.0644,  0.0561],
        [-0.0933, -0.0848, -0.1034,  ...,  0.0538,  0.0313,  0.0223],
        ...,
        [-0.1238, -0.1286, -0.0743,  ...,  0.0136,  0.0762,  0.0548],
        [-0.0132, -0.0105, -0.0388,  ..., -0.1628, -0.1805, -0.1963],
        [ 0.1110,  0.1128,  0.1005,  ..., -0.0283, -0.0180,  0.0112]],
       device='cuda:0'), grad: tensor([[ 2.0943e-03,  6.0558e-04,  6.5231e-04,  ...,  1.0023e-03,
          9.3126e-04,  1.0624e-03],
        [ 3.7360e-04,  1.0639e-04,  1.0651e-04,  ...,  1.6189e-04,
          1.5295e-04,  1.7846e-04],
        [ 3.8662e-03,  9.4938e-04,  7.3290e-04,  ...,  1.3113e-03,
          1.5354e-03,  1.6270e-03],
        ...,
        [-8.3771e-03, -2.2507e-03, -2.1477e-03,  ..., -3.5439e-03,
         -3.6964e-03, -4.0207e-03],
        [ 4.0007e-04,  1.0943e-04,  1.0467e-04,  ...,  1.6475e-04,
          1.6594e-04,  1.8454e-04],
        [ 8.8573e-05,  3.6508e-05,  7.8022e-05,  ...,  1.6296e-04,
          1.9848e-04,  1.7130e-04]], device='cuda:0')
Epoch 20, bias, value: tensor([-0.0415,  0.0456, -0.0612, -0.0222,  0.0607, -0.0479,  0.0713],
       device='cuda:0'), grad: tensor([ 0.0055,  0.0010,  0.0094,  0.0041, -0.0212,  0.0010,  0.0003],
       device='cuda:0')
306
0.008289693629698565
changing lr
---------------------saving model at epoch 19----------------------------------------------------
epoch 19, time 432.12, cls_loss 0.0267 cls_loss_mapping 0.1288 cls_loss_causal 0.8148 re_mapping 0.0707 re_causal 0.0716 /// teacc 86.06 lr 0.00811745
Epoch 21, weight, value: tensor([[ 0.2600,  0.2587,  0.2960,  ..., -0.0177, -0.0030, -0.0163],
        [-0.0687, -0.0632, -0.0889,  ...,  0.0651,  0.0654,  0.0569],
        [-0.0958, -0.0865, -0.1049,  ...,  0.0533,  0.0306,  0.0220],
        ...,
        [-0.1248, -0.1282, -0.0745,  ...,  0.0130,  0.0747,  0.0536],
        [-0.0146, -0.0111, -0.0389,  ..., -0.1617, -0.1793, -0.1949],
        [ 0.1092,  0.1118,  0.0995,  ..., -0.0295, -0.0196,  0.0092]],
       device='cuda:0'), grad: tensor([[ 1.8910e-05,  6.5379e-06,  4.4592e-06,  ...,  6.7987e-06,
          7.1824e-06,  7.8008e-06],
        [-1.4128e-06, -1.0086e-06, -1.0710e-06,  ..., -6.9104e-07,
         -1.0608e-06, -9.7603e-07],
        [ 4.8101e-05,  1.2361e-05,  5.9381e-06,  ...,  8.7246e-06,
          5.6922e-06,  8.7470e-06],
        ...,
        [-6.1803e-06, -3.6955e-06, -3.3882e-06,  ..., -5.7295e-06,
         -7.3798e-06, -7.0296e-06],
        [-1.5056e-04, -3.7521e-05, -1.7092e-05,  ..., -2.5272e-05,
         -1.4730e-05, -2.4661e-05],
        [ 3.8624e-05,  1.0028e-05,  4.9323e-06,  ...,  6.9328e-06,
          4.5486e-06,  6.9775e-06]], device='cuda:0')
Epoch 21, bias, value: tensor([-0.0320,  0.0540, -0.0647, -0.0240,  0.0552, -0.0512,  0.0674],
       device='cuda:0'), grad: tensor([ 4.3154e-05, -3.6228e-07,  1.2267e-04,  1.3447e-04, -1.0043e-05,
        -3.8791e-04,  9.7752e-05], device='cuda:0')
306
0.00811744900929367
changing lr
epoch 20, time 429.61, cls_loss 0.0334 cls_loss_mapping 0.1398 cls_loss_causal 0.8032 re_mapping 0.0706 re_causal 0.0716 /// teacc 84.62 lr 0.00793893
Epoch 22, weight, value: tensor([[ 0.2576,  0.2569,  0.2942,  ..., -0.0177, -0.0028, -0.0160],
        [-0.0645, -0.0590, -0.0853,  ...,  0.0635,  0.0634,  0.0551],
        [-0.0925, -0.0848, -0.1032,  ...,  0.0532,  0.0312,  0.0227],
        ...,
        [-0.1247, -0.1288, -0.0756,  ...,  0.0144,  0.0759,  0.0548],
        [-0.0171, -0.0135, -0.0409,  ..., -0.1600, -0.1781, -0.1935],
        [ 0.1069,  0.1103,  0.0983,  ..., -0.0300, -0.0205,  0.0080]],
       device='cuda:0'), grad: tensor([[-8.5533e-05, -6.3598e-05, -6.1393e-05,  ..., -1.3635e-05,
         -1.5028e-05, -1.5661e-05],
        [-9.6858e-05, -2.0891e-05, -1.3158e-05,  ..., -1.9193e-05,
         -2.6330e-05, -3.3528e-05],
        [ 1.8907e-04,  4.3601e-05,  3.0041e-05,  ...,  4.0948e-05,
          4.7296e-05,  5.7191e-05],
        ...,
        [ 8.9645e-05,  4.6551e-05,  4.2140e-05,  ...,  1.4164e-05,
          1.6123e-05,  1.9029e-05],
        [ 3.4887e-06,  1.4324e-06,  1.4063e-06,  ..., -2.2911e-07,
          7.2271e-07,  9.7789e-07],
        [-1.1152e-04, -9.6262e-06, -6.3889e-07,  ..., -2.4766e-05,
         -2.5764e-05, -3.1590e-05]], device='cuda:0')
Epoch 22, bias, value: tensor([-0.0325,  0.0521, -0.0610, -0.0267,  0.0597, -0.0502,  0.0632],
       device='cuda:0'), grad: tensor([-9.4354e-05, -2.4581e-04,  4.6301e-04,  2.9758e-05,  1.5485e-04,
         6.5416e-06, -3.1376e-04], device='cuda:0')
306
0.007938926261462368
changing lr
epoch 21, time 426.58, cls_loss 0.0379 cls_loss_mapping 0.1226 cls_loss_causal 0.8209 re_mapping 0.0672 re_causal 0.0683 /// teacc 80.77 lr 0.00775448
Epoch 23, weight, value: tensor([[ 0.2543,  0.2548,  0.2918,  ..., -0.0181, -0.0035, -0.0166],
        [-0.0610, -0.0557, -0.0815,  ...,  0.0627,  0.0633,  0.0549],
        [-0.0944, -0.0856, -0.1037,  ...,  0.0523,  0.0305,  0.0222],
        ...,
        [-0.1257, -0.1288, -0.0764,  ...,  0.0143,  0.0749,  0.0540],
        [-0.0155, -0.0136, -0.0409,  ..., -0.1578, -0.1759, -0.1909],
        [ 0.1065,  0.1089,  0.0971,  ..., -0.0297, -0.0205,  0.0078]],
       device='cuda:0'), grad: tensor([[-2.0206e-05, -1.4797e-05, -1.2912e-05,  ..., -2.2482e-06,
         -2.2426e-06, -2.8517e-06],
        [ 3.0920e-07,  3.2224e-07,  3.0361e-07,  ..., -7.0781e-08,
         -1.7323e-07, -1.7136e-07],
        [ 8.7991e-06,  3.8929e-06,  3.2075e-06,  ...,  2.0005e-06,
          2.0061e-06,  2.2966e-06],
        ...,
        [-2.0675e-07,  1.2089e-06,  1.0785e-06,  ..., -2.2911e-06,
         -2.1961e-06, -2.2668e-06],
        [-6.8881e-06, -1.1437e-06, -6.6683e-07,  ..., -1.4920e-06,
         -1.4491e-06, -1.6559e-06],
        [ 1.3739e-05,  9.4026e-06,  8.1286e-06,  ...,  1.7323e-06,
          1.7434e-06,  2.1514e-06]], device='cuda:0')
Epoch 23, bias, value: tensor([-0.0375,  0.0531, -0.0654, -0.0235,  0.0556, -0.0433,  0.0657],
       device='cuda:0'), grad: tensor([-1.7449e-05, -2.8312e-07,  1.7524e-05,  1.3448e-05, -7.6182e-06,
        -2.0295e-05,  1.4588e-05], device='cuda:0')
306
0.007754484907260515
changing lr
epoch 22, time 426.67, cls_loss 0.0169 cls_loss_mapping 0.1011 cls_loss_causal 0.7419 re_mapping 0.0658 re_causal 0.0668 /// teacc 85.58 lr 0.00756450
Epoch 24, weight, value: tensor([[ 0.2518,  0.2533,  0.2901,  ..., -0.0181, -0.0037, -0.0170],
        [-0.0619, -0.0557, -0.0812,  ...,  0.0615,  0.0621,  0.0538],
        [-0.0946, -0.0862, -0.1040,  ...,  0.0516,  0.0301,  0.0220],
        ...,
        [-0.1201, -0.1249, -0.0734,  ...,  0.0155,  0.0755,  0.0550],
        [-0.0152, -0.0134, -0.0403,  ..., -0.1562, -0.1744, -0.1893],
        [ 0.1044,  0.1070,  0.0952,  ..., -0.0296, -0.0204,  0.0076]],
       device='cuda:0'), grad: tensor([[ 3.6269e-05,  1.0885e-05,  5.3830e-06,  ...,  2.0787e-05,
          2.2650e-05,  2.5585e-05],
        [ 7.8753e-06,  2.4289e-06,  1.2554e-06,  ...,  4.4480e-06,
          4.8541e-06,  5.4799e-06],
        [ 9.0837e-05,  2.9549e-05,  1.5378e-05,  ...,  5.3287e-05,
          5.8591e-05,  6.5625e-05],
        ...,
        [-1.1673e-03, -3.6597e-04, -1.8895e-04,  ..., -6.7091e-04,
         -7.3385e-04, -8.2588e-04],
        [ 8.7166e-04,  2.7275e-04,  1.4091e-04,  ...,  5.0020e-04,
          5.4693e-04,  6.1560e-04],
        [ 4.8757e-05,  1.5154e-05,  7.8380e-06,  ...,  2.7969e-05,
          3.0503e-05,  3.4362e-05]], device='cuda:0')
Epoch 24, bias, value: tensor([-0.0378,  0.0497, -0.0652, -0.0239,  0.0594, -0.0413,  0.0638],
       device='cuda:0'), grad: tensor([ 1.0443e-04,  2.2441e-05,  2.6131e-04,  3.2115e-04, -3.3417e-03,
         2.4929e-03,  1.3912e-04], device='cuda:0')
306
0.007564496387029534
changing lr
epoch 23, time 429.30, cls_loss 0.0200 cls_loss_mapping 0.1184 cls_loss_causal 0.7899 re_mapping 0.0647 re_causal 0.0658 /// teacc 85.58 lr 0.00736934
Epoch 25, weight, value: tensor([[ 0.2588,  0.2577,  0.2946,  ..., -0.0171, -0.0030, -0.0160],
        [-0.0635, -0.0567, -0.0819,  ...,  0.0609,  0.0619,  0.0534],
        [-0.0968, -0.0871, -0.1049,  ...,  0.0503,  0.0291,  0.0212],
        ...,
        [-0.1225, -0.1247, -0.0735,  ...,  0.0152,  0.0745,  0.0544],
        [-0.0159, -0.0147, -0.0414,  ..., -0.1544, -0.1725, -0.1874],
        [ 0.1051,  0.1059,  0.0938,  ..., -0.0290, -0.0201,  0.0078]],
       device='cuda:0'), grad: tensor([[-7.3481e-04, -4.4537e-04, -4.3368e-04,  ..., -7.9334e-05,
         -8.5056e-05, -9.8109e-05],
        [ 3.8147e-05,  1.6361e-05,  1.4454e-05,  ...,  9.4771e-06,
          1.0312e-05,  1.1541e-05],
        [ 2.7347e-04,  1.6248e-04,  1.5748e-04,  ...,  3.1322e-05,
          3.3647e-05,  3.8832e-05],
        ...,
        [ 1.1367e-04,  6.1572e-05,  5.8204e-05,  ...,  1.6898e-05,
          1.8463e-05,  2.0921e-05],
        [ 1.5259e-04,  1.1063e-04,  1.1152e-04,  ...,  3.8184e-06,
          4.9807e-06,  5.8860e-06],
        [ 6.7055e-05,  4.6581e-05,  4.6998e-05,  ...,  3.6433e-06,
          2.3656e-06,  3.5577e-06]], device='cuda:0')
Epoch 25, bias, value: tensor([-0.0299,  0.0463, -0.0686, -0.0247,  0.0534, -0.0402,  0.0682],
       device='cuda:0'), grad: tensor([-9.9564e-04,  7.6473e-05,  3.8290e-04,  1.4734e-04,  1.8203e-04,
         1.3793e-04,  6.9320e-05], device='cuda:0')
306
0.007369343312364995
changing lr
epoch 24, time 426.07, cls_loss 0.0251 cls_loss_mapping 0.1051 cls_loss_causal 0.7912 re_mapping 0.0639 re_causal 0.0653 /// teacc 86.06 lr 0.00716942
Epoch 26, weight, value: tensor([[ 0.2537,  0.2548,  0.2915,  ..., -0.0177, -0.0040, -0.0170],
        [-0.0597, -0.0541, -0.0789,  ...,  0.0608,  0.0620,  0.0536],
        [-0.0957, -0.0868, -0.1045,  ...,  0.0499,  0.0289,  0.0212],
        ...,
        [-0.1195, -0.1230, -0.0726,  ...,  0.0159,  0.0747,  0.0549],
        [-0.0175, -0.0150, -0.0414,  ..., -0.1536, -0.1717, -0.1865],
        [ 0.1010,  0.1035,  0.0916,  ..., -0.0302, -0.0214,  0.0061]],
       device='cuda:0'), grad: tensor([[ 1.2159e-04,  5.0753e-05,  4.7743e-05,  ...,  3.1084e-05,
          3.1054e-05,  3.8862e-05],
        [ 2.5213e-05,  1.1273e-05,  1.0602e-05,  ...,  5.8673e-06,
          5.9754e-06,  7.4059e-06],
        [ 1.0826e-05,  5.6848e-06,  5.4725e-06,  ...,  2.8498e-06,
          3.1032e-06,  3.4459e-06],
        ...,
        [-3.8218e-04, -1.7190e-04, -1.6272e-04,  ..., -9.3102e-05,
         -9.3400e-05, -1.1605e-04],
        [ 5.5507e-06,  4.1053e-06,  4.2394e-06,  ...,  1.8217e-06,
          1.5423e-06,  1.8962e-06],
        [ 3.5197e-05,  1.7121e-05,  1.6272e-05,  ...,  7.8604e-06,
          7.9349e-06,  9.8199e-06]], device='cuda:0')
Epoch 26, bias, value: tensor([-0.0365,  0.0497, -0.0662, -0.0146,  0.0565, -0.0447,  0.0602],
       device='cuda:0'), grad: tensor([ 2.1684e-04,  4.3213e-05,  1.8209e-05,  3.1137e-04, -6.5041e-04,
         4.7274e-06,  5.6416e-05], device='cuda:0')
306
0.0071694186955877925
changing lr
epoch 25, time 425.98, cls_loss 0.0207 cls_loss_mapping 0.1023 cls_loss_causal 0.7798 re_mapping 0.0635 re_causal 0.0652 /// teacc 85.10 lr 0.00696513
Epoch 27, weight, value: tensor([[ 0.2559,  0.2547,  0.2909,  ..., -0.0169, -0.0032, -0.0158],
        [-0.0587, -0.0531, -0.0774,  ...,  0.0610,  0.0621,  0.0538],
        [-0.0948, -0.0862, -0.1037,  ...,  0.0492,  0.0285,  0.0209],
        ...,
        [-0.1254, -0.1251, -0.0754,  ...,  0.0145,  0.0725,  0.0526],
        [-0.0178, -0.0154, -0.0415,  ..., -0.1522, -0.1701, -0.1848],
        [ 0.1037,  0.1041,  0.0924,  ..., -0.0293, -0.0205,  0.0069]],
       device='cuda:0'), grad: tensor([[ 0.0110,  0.0050,  0.0045,  ...,  0.0032,  0.0036,  0.0042],
        [ 0.0048,  0.0021,  0.0020,  ...,  0.0013,  0.0015,  0.0018],
        [-0.0494, -0.0227, -0.0208,  ..., -0.0142, -0.0161, -0.0184],
        ...,
        [-0.0014, -0.0005, -0.0005,  ..., -0.0004, -0.0004, -0.0005],
        [ 0.0221,  0.0103,  0.0094,  ...,  0.0062,  0.0070,  0.0081],
        [ 0.0116,  0.0054,  0.0049,  ...,  0.0033,  0.0037,  0.0043]],
       device='cuda:0')
Epoch 27, bias, value: tensor([-0.0291,  0.0499, -0.0656, -0.0168,  0.0440, -0.0445,  0.0666],
       device='cuda:0'), grad: tensor([ 0.0222,  0.0096, -0.0975,  0.0028, -0.0031,  0.0432,  0.0229],
       device='cuda:0')
306
0.0069651251582696205
changing lr
epoch 26, time 430.16, cls_loss 0.0187 cls_loss_mapping 0.0969 cls_loss_causal 0.7636 re_mapping 0.0622 re_causal 0.0637 /// teacc 81.25 lr 0.00675687
Epoch 28, weight, value: tensor([[ 0.2514,  0.2523,  0.2883,  ..., -0.0173, -0.0038, -0.0165],
        [-0.0548, -0.0502, -0.0744,  ...,  0.0596,  0.0609,  0.0527],
        [-0.0947, -0.0856, -0.1030,  ...,  0.0477,  0.0272,  0.0195],
        ...,
        [-0.1235, -0.1248, -0.0757,  ...,  0.0164,  0.0739,  0.0545],
        [-0.0161, -0.0152, -0.0411,  ..., -0.1507, -0.1689, -0.1832],
        [ 0.1032,  0.1029,  0.0916,  ..., -0.0280, -0.0190,  0.0081]],
       device='cuda:0'), grad: tensor([[-6.0415e-04, -3.0947e-04, -3.3808e-04,  ..., -1.3041e-04,
         -1.2791e-04, -1.2898e-04],
        [ 4.1664e-05,  2.1353e-05,  2.3395e-05,  ...,  9.0152e-06,
          8.7842e-06,  8.8438e-06],
        [ 1.7655e-04,  9.0182e-05,  9.8526e-05,  ...,  3.8236e-05,
          3.7462e-05,  3.7819e-05],
        ...,
        [ 1.4520e-04,  7.4148e-05,  8.1003e-05,  ...,  3.1382e-05,
          3.0756e-05,  3.1054e-05],
        [ 1.5426e-04,  7.8619e-05,  8.5890e-05,  ...,  3.3408e-05,
          3.2693e-05,  3.3081e-05],
        [ 3.6776e-05,  1.9848e-05,  2.1681e-05,  ...,  7.6070e-06,
          7.5847e-06,  7.5288e-06]], device='cuda:0')
Epoch 28, bias, value: tensor([-0.0358,  0.0521, -0.0681, -0.0243,  0.0515, -0.0394,  0.0684],
       device='cuda:0'), grad: tensor([-9.4175e-04,  6.4969e-05,  2.7657e-04,  7.8797e-05,  2.2757e-04,
         2.4247e-04,  5.2065e-05], device='cuda:0')
306
0.006756874120406716
changing lr
epoch 27, time 426.89, cls_loss 0.0093 cls_loss_mapping 0.0824 cls_loss_causal 0.7365 re_mapping 0.0618 re_causal 0.0635 /// teacc 83.17 lr 0.00654508
Epoch 29, weight, value: tensor([[ 0.2525,  0.2524,  0.2881,  ..., -0.0166, -0.0033, -0.0158],
        [-0.0550, -0.0497, -0.0737,  ...,  0.0594,  0.0608,  0.0527],
        [-0.0931, -0.0852, -0.1024,  ...,  0.0472,  0.0270,  0.0195],
        ...,
        [-0.1213, -0.1236, -0.0752,  ...,  0.0161,  0.0732,  0.0540],
        [-0.0171, -0.0156, -0.0414,  ..., -0.1496, -0.1678, -0.1820],
        [ 0.0988,  0.1004,  0.0894,  ..., -0.0284, -0.0196,  0.0071]],
       device='cuda:0'), grad: tensor([[ 8.8453e-04,  5.9783e-05,  7.9036e-05,  ...,  3.7479e-04,
          4.0603e-04,  4.2248e-04],
        [ 8.6021e-04,  1.4782e-04,  1.5628e-04,  ...,  3.4332e-04,
          3.6836e-04,  3.8695e-04],
        [-3.3932e-03, -5.7173e-04, -6.1417e-04,  ..., -1.2398e-03,
         -1.3380e-03, -1.4076e-03],
        ...,
        [ 7.9203e-04,  1.7011e-04,  1.7536e-04,  ...,  2.8706e-04,
          3.0875e-04,  3.2568e-04],
        [ 9.2268e-04,  1.6189e-04,  1.6904e-04,  ...,  3.9434e-04,
          4.2653e-04,  4.4417e-04],
        [ 6.0749e-04,  1.1957e-04,  1.2189e-04,  ...,  2.7061e-04,
          2.9230e-04,  3.0398e-04]], device='cuda:0')
Epoch 29, bias, value: tensor([-0.0325,  0.0499, -0.0641, -0.0240,  0.0539, -0.0409,  0.0621],
       device='cuda:0'), grad: tensor([ 0.0026,  0.0023, -0.0089, -0.0022,  0.0020,  0.0025,  0.0017],
       device='cuda:0')
306
0.00654508497187474
changing lr
epoch 28, time 428.99, cls_loss 0.0094 cls_loss_mapping 0.0876 cls_loss_causal 0.7353 re_mapping 0.0604 re_causal 0.0621 /// teacc 80.77 lr 0.00633018
Epoch 30, weight, value: tensor([[ 0.2499,  0.2511,  0.2864,  ..., -0.0170, -0.0040, -0.0164],
        [-0.0549, -0.0491, -0.0729,  ...,  0.0583,  0.0598,  0.0516],
        [-0.0926, -0.0852, -0.1023,  ...,  0.0469,  0.0268,  0.0194],
        ...,
        [-0.1186, -0.1221, -0.0742,  ...,  0.0167,  0.0734,  0.0544],
        [-0.0186, -0.0162, -0.0417,  ..., -0.1486, -0.1666, -0.1807],
        [ 0.0981,  0.0995,  0.0886,  ..., -0.0280, -0.0192,  0.0073]],
       device='cuda:0'), grad: tensor([[-1.0252e-04, -6.0618e-05, -6.3598e-05,  ..., -1.8939e-05,
         -2.0102e-05, -2.1175e-05],
        [ 1.9372e-07,  9.1270e-07,  1.0356e-06,  ..., -1.5274e-07,
         -1.6391e-07, -1.3039e-07],
        [ 8.8155e-05,  4.9591e-05,  5.1677e-05,  ...,  1.5959e-05,
          1.6943e-05,  1.8016e-05],
        ...,
        [ 2.2665e-05,  5.7630e-06,  4.2319e-06,  ...,  5.5581e-06,
          6.2585e-06,  7.0035e-06],
        [-1.6429e-06,  1.9372e-07,  3.2037e-07,  ...,  1.7881e-07,
          2.0862e-07, -2.9802e-08],
        [-8.9109e-06,  3.0212e-06,  5.1446e-06,  ..., -2.9318e-06,
         -3.5129e-06, -4.0941e-06]], device='cuda:0')
Epoch 30, bias, value: tensor([-0.0365,  0.0475, -0.0623, -0.0214,  0.0576, -0.0432,  0.0627],
       device='cuda:0'), grad: tensor([-1.2743e-04, -6.9290e-07,  1.1796e-04,  3.1106e-06,  5.4836e-05,
        -1.0312e-05, -3.7611e-05], device='cuda:0')
306
0.006330184227833378
changing lr
---------------------saving model at epoch 29----------------------------------------------------
epoch 29, time 434.47, cls_loss 0.0094 cls_loss_mapping 0.0785 cls_loss_causal 0.7117 re_mapping 0.0606 re_causal 0.0626 /// teacc 87.98 lr 0.00611260
Epoch 31, weight, value: tensor([[ 0.2503,  0.2510,  0.2860,  ..., -0.0165, -0.0035, -0.0157],
        [-0.0539, -0.0484, -0.0720,  ...,  0.0578,  0.0594,  0.0514],
        [-0.0942, -0.0859, -0.1026,  ...,  0.0460,  0.0261,  0.0188],
        ...,
        [-0.1188, -0.1221, -0.0747,  ...,  0.0166,  0.0727,  0.0539],
        [-0.0162, -0.0152, -0.0408,  ..., -0.1465, -0.1646, -0.1787],
        [ 0.0972,  0.0984,  0.0877,  ..., -0.0281, -0.0194,  0.0069]],
       device='cuda:0'), grad: tensor([[-4.4346e-04, -2.6488e-04, -2.6155e-04,  ..., -9.3997e-05,
         -1.1146e-04, -1.1992e-04],
        [-1.3721e-04, -4.3064e-05, -4.4137e-05,  ..., -5.4270e-05,
         -5.3287e-05, -5.9724e-05],
        [ 3.0375e-04,  1.5330e-04,  1.5008e-04,  ...,  8.3685e-05,
          9.2566e-05,  1.0157e-04],
        ...,
        [ 1.5867e-04,  9.5129e-05,  9.6679e-05,  ...,  3.1501e-05,
          3.5971e-05,  3.8385e-05],
        [ 3.0577e-05,  1.7941e-05,  1.7643e-05,  ...,  7.5772e-06,
          8.9332e-06,  9.7007e-06],
        [ 5.4836e-05,  2.5928e-05,  2.5794e-05,  ...,  1.6108e-05,
          1.7121e-05,  1.8835e-05]], device='cuda:0')
Epoch 31, bias, value: tensor([-0.0348,  0.0479, -0.0655, -0.0245,  0.0561, -0.0370,  0.0620],
       device='cuda:0'), grad: tensor([-5.3549e-04, -4.0984e-04,  5.2595e-04,  6.1989e-05,  2.0742e-04,
         4.1455e-05,  1.0896e-04], device='cuda:0')
306
0.006112604669781575
changing lr
epoch 30, time 430.27, cls_loss 0.0094 cls_loss_mapping 0.0758 cls_loss_causal 0.7057 re_mapping 0.0586 re_causal 0.0606 /// teacc 87.98 lr 0.00589278
Epoch 32, weight, value: tensor([[ 0.2509,  0.2513,  0.2860,  ..., -0.0162, -0.0034, -0.0155],
        [-0.0541, -0.0483, -0.0717,  ...,  0.0573,  0.0590,  0.0510],
        [-0.0944, -0.0854, -0.1020,  ...,  0.0452,  0.0255,  0.0182],
        ...,
        [-0.1200, -0.1226, -0.0757,  ...,  0.0161,  0.0717,  0.0530],
        [-0.0130, -0.0142, -0.0394,  ..., -0.1452, -0.1632, -0.1771],
        [ 0.0928,  0.0963,  0.0856,  ..., -0.0284, -0.0198,  0.0063]],
       device='cuda:0'), grad: tensor([[ 1.1826e-03,  5.4789e-04,  4.1938e-04,  ...,  3.5620e-04,
          4.4441e-04,  4.4823e-04],
        [-3.4008e-03, -1.2341e-03, -9.7752e-04,  ..., -9.1982e-04,
         -1.2970e-03, -1.2903e-03],
        [ 1.4651e-04,  4.3333e-05,  2.9847e-05,  ...,  3.4630e-05,
          6.0350e-05,  5.6565e-05],
        ...,
        [ 8.8120e-04,  2.8610e-04,  2.3878e-04,  ...,  1.9145e-04,
          3.2616e-04,  3.1114e-04],
        [ 3.8791e-04,  9.6798e-05,  7.8917e-05,  ...,  1.2290e-04,
          1.5807e-04,  1.6606e-04],
        [ 5.0402e-04,  1.7214e-04,  1.4174e-04,  ...,  1.1754e-04,
          1.8585e-04,  1.8072e-04]], device='cuda:0')
Epoch 32, bias, value: tensor([-0.0336,  0.0461, -0.0671, -0.0183,  0.0533, -0.0309,  0.0549],
       device='cuda:0'), grad: tensor([ 0.0021, -0.0077,  0.0004,  0.0007,  0.0023,  0.0010,  0.0012],
       device='cuda:0')
306
0.005892784473993186
changing lr
---------------------saving model at epoch 31----------------------------------------------------
epoch 31, time 433.10, cls_loss 0.0076 cls_loss_mapping 0.0626 cls_loss_causal 0.6597 re_mapping 0.0570 re_causal 0.0588 /// teacc 88.46 lr 0.00567117
Epoch 33, weight, value: tensor([[ 0.2517,  0.2513,  0.2859,  ..., -0.0157, -0.0029, -0.0148],
        [-0.0529, -0.0478, -0.0712,  ...,  0.0578,  0.0593,  0.0514],
        [-0.0946, -0.0857, -0.1020,  ...,  0.0441,  0.0248,  0.0176],
        ...,
        [-0.1194, -0.1216, -0.0752,  ...,  0.0161,  0.0713,  0.0527],
        [-0.0172, -0.0160, -0.0411,  ..., -0.1449, -0.1629, -0.1767],
        [ 0.0949,  0.0966,  0.0861,  ..., -0.0278, -0.0193,  0.0065]],
       device='cuda:0'), grad: tensor([[-1.3514e-03, -7.8011e-04, -7.8249e-04,  ..., -2.5344e-04,
         -2.6321e-04, -3.0375e-04],
        [ 2.7561e-04,  1.6153e-04,  1.6010e-04,  ...,  5.0634e-05,
          5.1320e-05,  6.0827e-05],
        [ 2.5606e-04,  1.3661e-04,  1.3423e-04,  ...,  5.1290e-05,
          5.2512e-05,  6.0558e-05],
        ...,
        [ 3.1090e-04,  1.7726e-04,  1.7977e-04,  ...,  5.7518e-05,
          6.1095e-05,  6.9439e-05],
        [ 5.1171e-05,  4.8816e-05,  5.0664e-05,  ...,  1.1854e-05,
          1.3553e-05,  1.4424e-05],
        [ 2.8563e-04,  1.6415e-04,  1.6391e-04,  ...,  5.2303e-05,
          5.2512e-05,  6.1929e-05]], device='cuda:0')
Epoch 33, bias, value: tensor([-0.0312,  0.0491, -0.0674, -0.0199,  0.0518, -0.0381,  0.0600],
       device='cuda:0'), grad: tensor([-1.9341e-03,  3.7980e-04,  4.0054e-04,  2.6917e-04,  4.5681e-04,
         2.0683e-05,  4.0674e-04], device='cuda:0')
306
0.00567116632908828
changing lr
epoch 32, time 426.99, cls_loss 0.0106 cls_loss_mapping 0.0678 cls_loss_causal 0.6951 re_mapping 0.0560 re_causal 0.0581 /// teacc 82.69 lr 0.00544820
Epoch 34, weight, value: tensor([[ 0.2521,  0.2514,  0.2857,  ..., -0.0157, -0.0028, -0.0148],
        [-0.0508, -0.0470, -0.0703,  ...,  0.0579,  0.0594,  0.0517],
        [-0.0956, -0.0860, -0.1020,  ...,  0.0434,  0.0242,  0.0169],
        ...,
        [-0.1187, -0.1210, -0.0750,  ...,  0.0163,  0.0710,  0.0527],
        [-0.0184, -0.0165, -0.0415,  ..., -0.1441, -0.1620, -0.1757],
        [ 0.0944,  0.0958,  0.0854,  ..., -0.0276, -0.0192,  0.0065]],
       device='cuda:0'), grad: tensor([[ 5.7459e-04,  2.7680e-04,  2.7418e-04,  ...,  5.6207e-05,
          6.7353e-05,  1.0335e-04],
        [ 1.3304e-04,  6.0856e-05,  5.9932e-05,  ...,  1.6704e-05,
          1.9088e-05,  2.7254e-05],
        [-1.2275e-06,  2.3041e-06,  2.5667e-06,  ..., -1.2163e-06,
         -2.1253e-06, -1.9837e-06],
        ...,
        [ 2.1264e-05,  1.0088e-05,  1.0043e-05,  ...,  2.2147e-06,
          2.6375e-06,  3.8743e-06],
        [ 1.0014e-04,  4.5031e-05,  4.4435e-05,  ...,  1.4551e-05,
          1.6063e-05,  2.1860e-05],
        [-8.6927e-04, -4.2367e-04, -4.2057e-04,  ..., -8.1062e-05,
         -9.7871e-05, -1.5199e-04]], device='cuda:0')
Epoch 34, bias, value: tensor([-0.0304,  0.0528, -0.0694, -0.0211,  0.0513, -0.0399,  0.0607],
       device='cuda:0'), grad: tensor([ 1.0033e-03,  2.4414e-04, -6.8992e-06,  3.7402e-05,  3.8028e-05,
         1.8930e-04, -1.5049e-03], device='cuda:0')
306
0.00544819654451717
changing lr
epoch 33, time 427.05, cls_loss 0.0080 cls_loss_mapping 0.0678 cls_loss_causal 0.7349 re_mapping 0.0560 re_causal 0.0582 /// teacc 86.54 lr 0.00522432
Epoch 35, weight, value: tensor([[ 0.2496,  0.2498,  0.2841,  ..., -0.0159, -0.0032, -0.0152],
        [-0.0509, -0.0468, -0.0699,  ...,  0.0572,  0.0588,  0.0512],
        [-0.0940, -0.0851, -0.1011,  ...,  0.0432,  0.0242,  0.0171],
        ...,
        [-0.1182, -0.1201, -0.0745,  ...,  0.0161,  0.0704,  0.0523],
        [-0.0183, -0.0166, -0.0416,  ..., -0.1430, -0.1609, -0.1745],
        [ 0.0933,  0.0948,  0.0846,  ..., -0.0276, -0.0192,  0.0062]],
       device='cuda:0'), grad: tensor([[-2.4395e-03, -1.4315e-03, -1.4219e-03,  ..., -6.6614e-04,
         -6.5660e-04, -7.2098e-04],
        [ 4.0746e-04,  1.6570e-04,  1.5414e-04,  ...,  8.9586e-05,
          9.1910e-05,  1.0550e-04],
        [ 4.8685e-04,  2.4652e-04,  2.3901e-04,  ...,  1.1039e-04,
          1.1253e-04,  1.2529e-04],
        ...,
        [ 8.7929e-04,  5.0354e-04,  4.9829e-04,  ...,  2.5129e-04,
          2.4438e-04,  2.7108e-04],
        [-3.9077e-04,  3.8408e-06,  4.0323e-05,  ..., -4.2140e-05,
         -4.7147e-05, -6.9320e-05],
        [ 8.9645e-04,  4.3797e-04,  4.2105e-04,  ...,  2.1875e-04,
          2.1732e-04,  2.4557e-04]], device='cuda:0')
Epoch 35, bias, value: tensor([-0.0333,  0.0510, -0.0670, -0.0178,  0.0498, -0.0383,  0.0596],
       device='cuda:0'), grad: tensor([-0.0039,  0.0008,  0.0008,  0.0003,  0.0015, -0.0012,  0.0016],
       device='cuda:0')
306
0.005224324151752577
changing lr
epoch 34, time 428.33, cls_loss 0.0042 cls_loss_mapping 0.0575 cls_loss_causal 0.6963 re_mapping 0.0553 re_causal 0.0577 /// teacc 85.58 lr 0.00500000
Epoch 36, weight, value: tensor([[ 0.2492,  0.2493,  0.2833,  ..., -0.0158, -0.0032, -0.0151],
        [-0.0521, -0.0472, -0.0701,  ...,  0.0566,  0.0582,  0.0505],
        [-0.0929, -0.0847, -0.1006,  ...,  0.0430,  0.0242,  0.0171],
        ...,
        [-0.1164, -0.1190, -0.0738,  ...,  0.0165,  0.0704,  0.0524],
        [-0.0172, -0.0164, -0.0414,  ..., -0.1417, -0.1595, -0.1728],
        [ 0.0920,  0.0938,  0.0838,  ..., -0.0276, -0.0193,  0.0059]],
       device='cuda:0'), grad: tensor([[-2.1362e-04, -1.1706e-04, -1.1629e-04,  ..., -5.4300e-05,
         -5.6475e-05, -5.9038e-05],
        [ 2.7761e-05,  1.4283e-05,  1.4096e-05,  ...,  6.8471e-06,
          7.1414e-06,  7.5735e-06],
        [ 1.2493e-04,  6.5327e-05,  6.4611e-05,  ...,  3.1233e-05,
          3.2574e-05,  3.4422e-05],
        ...,
        [ 1.7971e-05,  9.3132e-06,  9.1493e-06,  ...,  3.6974e-06,
          3.9116e-06,  4.1649e-06],
        [ 4.7088e-05,  2.2233e-05,  2.1875e-05,  ...,  1.0654e-05,
          1.1109e-05,  1.2226e-05],
        [-1.9550e-05, -2.3656e-06, -1.5628e-06,  ..., -1.5832e-06,
         -1.8850e-06, -3.2447e-06]], device='cuda:0')
Epoch 36, bias, value: tensor([-0.0330,  0.0474, -0.0645, -0.0211,  0.0514, -0.0336,  0.0575],
       device='cuda:0'), grad: tensor([-3.4666e-04,  4.8816e-05,  2.1541e-04,  2.4825e-05,  3.2306e-05,
         9.2864e-05, -6.8188e-05], device='cuda:0')
306
0.005000000000000003
changing lr
epoch 35, time 428.68, cls_loss 0.0057 cls_loss_mapping 0.0564 cls_loss_causal 0.6790 re_mapping 0.0534 re_causal 0.0557 /// teacc 86.54 lr 0.00477568
Epoch 37, weight, value: tensor([[ 0.2490,  0.2492,  0.2831,  ..., -0.0157, -0.0032, -0.0150],
        [-0.0533, -0.0474, -0.0702,  ...,  0.0559,  0.0575,  0.0498],
        [-0.0930, -0.0845, -0.1003,  ...,  0.0425,  0.0239,  0.0169],
        ...,
        [-0.1153, -0.1182, -0.0733,  ...,  0.0167,  0.0703,  0.0524],
        [-0.0177, -0.0169, -0.0417,  ..., -0.1408, -0.1588, -0.1719],
        [ 0.0928,  0.0935,  0.0835,  ..., -0.0270, -0.0188,  0.0063]],
       device='cuda:0'), grad: tensor([[-1.9026e-04, -1.2153e-04, -1.2040e-04,  ..., -2.5526e-05,
         -2.8968e-05, -3.4362e-05],
        [ 1.2696e-04,  4.9949e-05,  4.9144e-05,  ...,  3.4660e-05,
          4.0740e-05,  4.1753e-05],
        [ 8.4221e-05,  4.2409e-05,  4.1664e-05,  ...,  1.6063e-05,
          1.8761e-05,  2.1011e-05],
        ...,
        [-4.0221e-04, -1.1349e-04, -1.1182e-04,  ..., -1.4126e-04,
         -1.6749e-04, -1.6463e-04],
        [ 1.6600e-05,  1.8686e-05,  2.0117e-05,  ...,  3.7812e-07,
          2.9206e-06,  2.1532e-06],
        [ 1.7178e-04,  6.0230e-05,  5.8681e-05,  ...,  5.3525e-05,
          6.0827e-05,  6.0886e-05]], device='cuda:0')
Epoch 37, bias, value: tensor([-0.0331,  0.0438, -0.0652, -0.0216,  0.0517, -0.0324,  0.0609],
       device='cuda:0'), grad: tensor([-2.2066e-04,  2.5630e-04,  1.3638e-04,  4.3583e-04, -9.7466e-04,
        -8.4341e-06,  3.7503e-04], device='cuda:0')
306
0.004775675848247429
changing lr
epoch 36, time 426.09, cls_loss 0.0056 cls_loss_mapping 0.0548 cls_loss_causal 0.6659 re_mapping 0.0529 re_causal 0.0553 /// teacc 84.62 lr 0.00455180
Epoch 38, weight, value: tensor([[ 0.2494,  0.2492,  0.2830,  ..., -0.0157, -0.0032, -0.0149],
        [-0.0519, -0.0468, -0.0695,  ...,  0.0557,  0.0575,  0.0499],
        [-0.0936, -0.0847, -0.1003,  ...,  0.0419,  0.0234,  0.0164],
        ...,
        [-0.1138, -0.1172, -0.0726,  ...,  0.0171,  0.0703,  0.0526],
        [-0.0186, -0.0172, -0.0419,  ..., -0.1402, -0.1581, -0.1712],
        [ 0.0912,  0.0921,  0.0822,  ..., -0.0268, -0.0187,  0.0063]],
       device='cuda:0'), grad: tensor([[ 3.4750e-05,  1.2450e-05,  1.1384e-05,  ...,  8.5309e-06,
          9.8050e-06,  1.1593e-05],
        [-1.0271e-03, -4.1318e-04, -3.9172e-04,  ..., -1.4448e-04,
         -1.7440e-04, -2.1589e-04],
        [ 5.4985e-06,  2.5854e-06,  2.5835e-06,  ...,  2.0489e-08,
          1.8626e-08,  2.0862e-07],
        ...,
        [-4.6492e-06, -3.4589e-06, -3.4049e-06,  ..., -4.2692e-06,
         -5.1111e-06, -5.2936e-06],
        [-1.3888e-05, -8.7917e-07, -6.4634e-07,  ..., -3.5372e-06,
         -2.5574e-06, -3.6340e-06],
        [ 9.9373e-04,  3.9911e-04,  3.7861e-04,  ...,  1.4126e-04,
          1.6975e-04,  2.0993e-04]], device='cuda:0')
Epoch 38, bias, value: tensor([-0.0323,  0.0466, -0.0664, -0.0230,  0.0530, -0.0339,  0.0600],
       device='cuda:0'), grad: tensor([ 7.5400e-05, -1.8406e-03,  8.1286e-06,  3.1173e-05, -1.1809e-05,
        -4.4286e-05,  1.7853e-03], device='cuda:0')
306
0.004551803455482836
changing lr
epoch 37, time 425.12, cls_loss 0.0061 cls_loss_mapping 0.0590 cls_loss_causal 0.6774 re_mapping 0.0525 re_causal 0.0551 /// teacc 83.17 lr 0.00432883
Epoch 39, weight, value: tensor([[ 0.2483,  0.2485,  0.2821,  ..., -0.0158, -0.0035, -0.0151],
        [-0.0507, -0.0462, -0.0687,  ...,  0.0556,  0.0575,  0.0499],
        [-0.0933, -0.0845, -0.1000,  ...,  0.0415,  0.0232,  0.0162],
        ...,
        [-0.1130, -0.1164, -0.0722,  ...,  0.0172,  0.0700,  0.0525],
        [-0.0192, -0.0175, -0.0421,  ..., -0.1396, -0.1574, -0.1704],
        [ 0.0900,  0.0911,  0.0812,  ..., -0.0268, -0.0187,  0.0061]],
       device='cuda:0'), grad: tensor([[-1.6487e-04, -1.0222e-04, -1.0294e-04,  ..., -1.8775e-05,
         -1.5110e-05, -1.9088e-05],
        [ 2.0981e-05,  3.2540e-06,  2.7195e-06,  ...,  5.4128e-06,
          6.1393e-06,  7.4096e-06],
        [ 1.8418e-04,  1.0049e-04,  1.0014e-04,  ...,  2.5466e-05,
          2.3037e-05,  2.8580e-05],
        ...,
        [ 4.7654e-05,  9.2238e-06,  7.8902e-06,  ...,  1.1139e-05,
          1.2316e-05,  1.5184e-05],
        [-1.4281e-04, -1.4052e-05, -9.4771e-06,  ..., -3.4928e-05,
         -3.9577e-05, -4.9472e-05],
        [ 8.9034e-06, -2.5947e-06, -2.8443e-06,  ...,  2.9244e-07,
          4.1351e-07,  1.5832e-06]], device='cuda:0')
Epoch 39, bias, value: tensor([-0.0338,  0.0484, -0.0660, -0.0216,  0.0525, -0.0344,  0.0589],
       device='cuda:0'), grad: tensor([-1.9264e-04,  6.2644e-05,  2.6774e-04,  1.4007e-04,  1.3340e-04,
        -4.5323e-04,  4.2528e-05], device='cuda:0')
306
0.004328833670911726
changing lr
---------------------saving model at epoch 38----------------------------------------------------
epoch 38, time 430.89, cls_loss 0.0048 cls_loss_mapping 0.0498 cls_loss_causal 0.6565 re_mapping 0.0502 re_causal 0.0527 /// teacc 90.38 lr 0.00410722
Epoch 40, weight, value: tensor([[ 0.2478,  0.2481,  0.2815,  ..., -0.0158, -0.0035, -0.0151],
        [-0.0505, -0.0459, -0.0683,  ...,  0.0551,  0.0570,  0.0494],
        [-0.0923, -0.0841, -0.0996,  ...,  0.0414,  0.0233,  0.0164],
        ...,
        [-0.1132, -0.1161, -0.0721,  ...,  0.0171,  0.0696,  0.0521],
        [-0.0200, -0.0178, -0.0422,  ..., -0.1390, -0.1568, -0.1697],
        [ 0.0894,  0.0902,  0.0805,  ..., -0.0267, -0.0188,  0.0059]],
       device='cuda:0'), grad: tensor([[-3.8218e-04, -2.5368e-04, -2.5129e-04,  ..., -3.4750e-05,
         -4.4465e-05, -5.1945e-05],
        [ 9.3281e-05,  5.9783e-05,  5.9187e-05,  ...,  1.0341e-05,
          1.3016e-05,  1.4789e-05],
        [ 1.3657e-05,  1.0043e-05,  9.9838e-06,  ...,  1.3318e-06,
          1.8254e-06,  1.9278e-06],
        ...,
        [ 5.6207e-05,  3.2425e-05,  3.2097e-05,  ...,  8.9929e-06,
          1.1019e-05,  1.1913e-05],
        [ 4.3213e-06,  8.9258e-06,  9.3654e-06,  ..., -5.5321e-07,
          8.8103e-07,  4.0978e-07],
        [ 2.1148e-04,  1.3483e-04,  1.3328e-04,  ...,  2.1800e-05,
          2.6941e-05,  3.1203e-05]], device='cuda:0')
Epoch 40, bias, value: tensor([-0.0341,  0.0476, -0.0636, -0.0197,  0.0505, -0.0361,  0.0592],
       device='cuda:0'), grad: tensor([-3.9268e-04,  1.0526e-04,  1.1511e-05, -2.8744e-05,  7.9453e-05,
        -1.2942e-05,  2.3806e-04], device='cuda:0')
306
0.0041072155260068206
changing lr
epoch 39, time 431.70, cls_loss 0.0051 cls_loss_mapping 0.0535 cls_loss_causal 0.7021 re_mapping 0.0495 re_causal 0.0520 /// teacc 86.06 lr 0.00388740
Epoch 41, weight, value: tensor([[ 0.2513,  0.2500,  0.2832,  ..., -0.0149, -0.0026, -0.0140],
        [-0.0511, -0.0459, -0.0682,  ...,  0.0546,  0.0565,  0.0489],
        [-0.0920, -0.0841, -0.0995,  ...,  0.0412,  0.0232,  0.0164],
        ...,
        [-0.1122, -0.1155, -0.0718,  ...,  0.0172,  0.0693,  0.0519],
        [-0.0206, -0.0180, -0.0424,  ..., -0.1384, -0.1561, -0.1690],
        [ 0.0860,  0.0879,  0.0783,  ..., -0.0271, -0.0193,  0.0051]],
       device='cuda:0'), grad: tensor([[-9.6977e-05, -7.2122e-05, -7.0632e-05,  ..., -4.6343e-06,
         -6.8955e-06, -6.5528e-06],
        [ 7.1883e-05,  1.8924e-05,  1.8641e-05,  ...,  2.4423e-05,
          2.8446e-05,  3.0786e-05],
        [-1.3530e-04, -5.0068e-06, -4.9546e-06,  ..., -5.1588e-05,
         -5.1260e-05, -5.7846e-05],
        ...,
        [ 1.7941e-04,  4.3571e-05,  4.2886e-05,  ...,  5.6475e-05,
          6.2644e-05,  6.8307e-05],
        [-4.5598e-05,  6.7055e-08,  9.5367e-07,  ..., -1.6466e-05,
         -2.1920e-05, -2.2978e-05],
        [-3.1441e-05,  5.8487e-07, -5.1036e-07,  ..., -2.8342e-05,
         -3.4481e-05, -3.7223e-05]], device='cuda:0')
Epoch 41, bias, value: tensor([-0.0283,  0.0453, -0.0618, -0.0206,  0.0508, -0.0370,  0.0554],
       device='cuda:0'), grad: tensor([-7.4744e-05,  1.7619e-04, -4.0269e-04,  1.4830e-04,  4.4298e-04,
        -2.0444e-04, -8.5533e-05], device='cuda:0')
306
0.0038873953302184317
changing lr
epoch 40, time 429.47, cls_loss 0.0052 cls_loss_mapping 0.0468 cls_loss_causal 0.6742 re_mapping 0.0483 re_causal 0.0508 /// teacc 87.02 lr 0.00366982
Epoch 42, weight, value: tensor([[ 0.2490,  0.2490,  0.2821,  ..., -0.0153, -0.0030, -0.0145],
        [-0.0508, -0.0456, -0.0678,  ...,  0.0542,  0.0562,  0.0486],
        [-0.0907, -0.0838, -0.0991,  ...,  0.0412,  0.0233,  0.0167],
        ...,
        [-0.1121, -0.1149, -0.0715,  ...,  0.0172,  0.0689,  0.0516],
        [-0.0202, -0.0181, -0.0423,  ..., -0.1376, -0.1552, -0.1681],
        [ 0.0861,  0.0873,  0.0777,  ..., -0.0269, -0.0191,  0.0052]],
       device='cuda:0'), grad: tensor([[ 7.0524e-04,  2.4354e-04,  2.1636e-04,  ...,  9.5367e-05,
          1.0043e-04,  1.0616e-04],
        [ 8.6203e-06, -1.9744e-06, -2.6431e-06,  ..., -6.4969e-06,
         -6.2473e-06, -7.8455e-06],
        [ 1.5199e-04,  4.8757e-05,  4.3005e-05,  ...,  3.3259e-05,
          3.6716e-05,  3.8743e-05],
        ...,
        [ 9.5427e-05,  3.2485e-05,  2.9102e-05,  ...,  1.6078e-05,
          1.7956e-05,  1.9237e-05],
        [ 7.1466e-05,  2.4527e-05,  2.2009e-05,  ...,  1.1332e-05,
          1.2673e-05,  1.3590e-05],
        [-9.4128e-04, -3.2496e-04, -2.8896e-04,  ..., -1.0651e-04,
         -1.1295e-04, -1.1897e-04]], device='cuda:0')
Epoch 42, bias, value: tensor([-0.0322,  0.0448, -0.0585, -0.0213,  0.0490, -0.0356,  0.0576],
       device='cuda:0'), grad: tensor([ 1.4572e-03,  3.4839e-05,  3.1948e-04, -2.0826e-04,  1.9515e-04,
         1.4567e-04, -1.9464e-03], device='cuda:0')
306
0.003669815772166629
changing lr
epoch 41, time 427.88, cls_loss 0.0065 cls_loss_mapping 0.0534 cls_loss_causal 0.6753 re_mapping 0.0489 re_causal 0.0515 /// teacc 86.54 lr 0.00345492
Epoch 43, weight, value: tensor([[ 0.2492,  0.2492,  0.2821,  ..., -0.0153, -0.0032, -0.0146],
        [-0.0510, -0.0455, -0.0676,  ...,  0.0537,  0.0557,  0.0482],
        [-0.0909, -0.0837, -0.0989,  ...,  0.0408,  0.0231,  0.0165],
        ...,
        [-0.1110, -0.1143, -0.0712,  ...,  0.0175,  0.0690,  0.0519],
        [-0.0209, -0.0183, -0.0424,  ..., -0.1370, -0.1546, -0.1674],
        [ 0.0852,  0.0864,  0.0768,  ..., -0.0269, -0.0192,  0.0050]],
       device='cuda:0'), grad: tensor([[ 1.2779e-04,  4.0859e-05,  3.5703e-05,  ...,  3.8385e-05,
          4.5091e-05,  5.1558e-05],
        [ 7.3612e-06,  2.3488e-06,  2.0191e-06,  ...,  2.3954e-06,
          2.9132e-06,  3.2187e-06],
        [-6.0797e-05, -1.8999e-05, -1.8507e-05,  ..., -4.4629e-06,
         -9.8720e-07, -7.0706e-06],
        ...,
        [-1.0753e-04, -3.7402e-05, -3.1054e-05,  ..., -4.6730e-05,
         -5.9545e-05, -6.1870e-05],
        [-4.8988e-06,  8.9221e-07,  1.3467e-06,  ...,  1.0617e-07,
         -4.2282e-07, -1.7136e-07],
        [ 1.0051e-05,  3.7905e-06,  3.2373e-06,  ...,  1.7025e-06,
          2.3823e-06,  2.7604e-06]], device='cuda:0')
Epoch 43, bias, value: tensor([-0.0323,  0.0438, -0.0593, -0.0198,  0.0506, -0.0368,  0.0577],
       device='cuda:0'), grad: tensor([ 2.9945e-04,  1.6332e-05, -1.7369e-04,  6.4611e-05, -2.1088e-04,
        -1.8358e-05,  2.2486e-05], device='cuda:0')
306
0.0034549150281252667
changing lr
epoch 42, time 431.83, cls_loss 0.0043 cls_loss_mapping 0.0461 cls_loss_causal 0.6401 re_mapping 0.0486 re_causal 0.0514 /// teacc 84.62 lr 0.00324313
Epoch 44, weight, value: tensor([[ 0.2495,  0.2492,  0.2820,  ..., -0.0153, -0.0032, -0.0145],
        [-0.0501, -0.0451, -0.0671,  ...,  0.0536,  0.0556,  0.0481],
        [-0.0910, -0.0837, -0.0989,  ...,  0.0405,  0.0229,  0.0163],
        ...,
        [-0.1111, -0.1140, -0.0711,  ...,  0.0175,  0.0687,  0.0517],
        [-0.0213, -0.0185, -0.0426,  ..., -0.1364, -0.1540, -0.1667],
        [ 0.0847,  0.0858,  0.0763,  ..., -0.0268, -0.0192,  0.0050]],
       device='cuda:0'), grad: tensor([[-1.4976e-05, -1.8388e-05, -1.7866e-05,  ...,  1.8664e-06,
          2.2594e-06,  2.4643e-06],
        [ 1.0014e-04,  9.9018e-06,  6.0499e-06,  ...,  3.9488e-05,
          4.5002e-05,  4.9442e-05],
        [ 2.6536e-04,  2.3797e-05,  1.4089e-05,  ...,  1.0502e-04,
          1.2076e-04,  1.3196e-04],
        ...,
        [-6.3515e-04, -4.6462e-05, -2.4155e-05,  ..., -2.5392e-04,
         -2.9373e-04, -3.2043e-04],
        [ 5.5671e-05,  5.0776e-06,  3.2317e-06,  ...,  2.2560e-05,
          2.5466e-05,  2.7850e-05],
        [ 1.9002e-04,  2.3529e-05,  1.6689e-05,  ...,  7.2062e-05,
          8.2552e-05,  9.0301e-05]], device='cuda:0')
Epoch 44, bias, value: tensor([-0.0314,  0.0445, -0.0594, -0.0199,  0.0491, -0.0369,  0.0577],
       device='cuda:0'), grad: tensor([ 1.7658e-05,  3.0422e-04,  8.1301e-04,  1.1760e-04, -1.9779e-03,
         1.6999e-04,  5.5742e-04], device='cuda:0')
306
0.0032431258795932905
changing lr
epoch 43, time 427.82, cls_loss 0.0039 cls_loss_mapping 0.0450 cls_loss_causal 0.6249 re_mapping 0.0474 re_causal 0.0502 /// teacc 86.54 lr 0.00303487
Epoch 45, weight, value: tensor([[ 0.2480,  0.2484,  0.2811,  ..., -0.0155, -0.0035, -0.0148],
        [-0.0493, -0.0446, -0.0666,  ...,  0.0534,  0.0555,  0.0480],
        [-0.0911, -0.0836, -0.0987,  ...,  0.0401,  0.0227,  0.0161],
        ...,
        [-0.1105, -0.1136, -0.0709,  ...,  0.0176,  0.0687,  0.0517],
        [-0.0208, -0.0185, -0.0425,  ..., -0.1358, -0.1533, -0.1659],
        [ 0.0842,  0.0853,  0.0759,  ..., -0.0268, -0.0191,  0.0049]],
       device='cuda:0'), grad: tensor([[ 3.8862e-04,  1.0622e-04,  1.0890e-04,  ...,  1.5783e-04,
          1.7059e-04,  1.8311e-04],
        [ 3.5614e-05,  1.0513e-05,  8.5682e-06,  ...,  1.9521e-05,
          2.2337e-05,  2.3574e-05],
        [-2.2268e-04, -3.7193e-05, -4.0859e-05,  ..., -7.3195e-05,
         -7.8142e-05, -9.1970e-05],
        ...,
        [-3.6907e-04, -1.2648e-04, -1.1647e-04,  ..., -1.8442e-04,
         -2.0373e-04, -2.0933e-04],
        [ 4.9770e-05,  1.2524e-05,  1.2390e-05,  ...,  2.1741e-05,
          2.4214e-05,  2.6256e-05],
        [ 3.8534e-05,  1.1489e-05,  9.8050e-06,  ...,  1.9610e-05,
          2.1860e-05,  2.2933e-05]], device='cuda:0')
Epoch 45, bias, value: tensor([-0.0337,  0.0451, -0.0600, -0.0192,  0.0491, -0.0350,  0.0576],
       device='cuda:0'), grad: tensor([ 8.6308e-04,  7.6950e-05, -5.8699e-04,  1.7869e-04, -7.2908e-04,
         1.1402e-04,  8.3148e-05], device='cuda:0')
306
0.0030348748417303863
changing lr
epoch 44, time 426.53, cls_loss 0.0031 cls_loss_mapping 0.0422 cls_loss_causal 0.6510 re_mapping 0.0467 re_causal 0.0495 /// teacc 86.06 lr 0.00283058
Epoch 46, weight, value: tensor([[ 0.2471,  0.2479,  0.2805,  ..., -0.0157, -0.0037, -0.0151],
        [-0.0492, -0.0445, -0.0663,  ...,  0.0532,  0.0554,  0.0479],
        [-0.0904, -0.0834, -0.0984,  ...,  0.0401,  0.0227,  0.0162],
        ...,
        [-0.1096, -0.1130, -0.0704,  ...,  0.0179,  0.0687,  0.0519],
        [-0.0199, -0.0182, -0.0422,  ..., -0.1351, -0.1525, -0.1650],
        [ 0.0826,  0.0844,  0.0751,  ..., -0.0269, -0.0193,  0.0046]],
       device='cuda:0'), grad: tensor([[ 2.2233e-05,  4.0531e-06,  3.6173e-06,  ...,  7.3127e-06,
          8.8513e-06,  9.5591e-06],
        [ 2.4855e-05,  4.6380e-06,  4.7497e-06,  ...,  1.1235e-05,
          1.2487e-05,  1.3188e-05],
        [-1.9088e-05, -3.9786e-06, -2.7493e-06,  ...,  3.8594e-06,
          1.6009e-06, -4.5635e-07],
        ...,
        [ 7.0989e-05,  8.3148e-06,  9.3728e-06,  ...,  3.5614e-05,
          3.9279e-05,  4.1932e-05],
        [ 1.1116e-04,  1.2904e-05,  1.5192e-05,  ...,  6.3360e-05,
          6.8307e-05,  7.0989e-05],
        [-3.1441e-05, -1.5251e-05, -1.2942e-05,  ..., -6.5006e-07,
         -3.1181e-06, -3.5092e-06]], device='cuda:0')
Epoch 46, bias, value: tensor([-0.0350,  0.0450, -0.0580, -0.0206,  0.0497, -0.0327,  0.0553],
       device='cuda:0'), grad: tensor([ 6.0409e-05,  6.4909e-05, -5.6982e-05, -5.0735e-04,  1.9813e-04,
         3.0398e-04, -6.2764e-05], device='cuda:0')
306
0.0028305813044122124
changing lr
epoch 45, time 428.43, cls_loss 0.0033 cls_loss_mapping 0.0372 cls_loss_causal 0.6389 re_mapping 0.0461 re_causal 0.0489 /// teacc 86.06 lr 0.00263066
Epoch 47, weight, value: tensor([[ 0.2468,  0.2476,  0.2801,  ..., -0.0156, -0.0037, -0.0151],
        [-0.0488, -0.0443, -0.0660,  ...,  0.0530,  0.0552,  0.0478],
        [-0.0904, -0.0833, -0.0983,  ...,  0.0398,  0.0225,  0.0160],
        ...,
        [-0.1086, -0.1124, -0.0699,  ...,  0.0182,  0.0688,  0.0521],
        [-0.0199, -0.0184, -0.0423,  ..., -0.1346, -0.1520, -0.1645],
        [ 0.0815,  0.0837,  0.0744,  ..., -0.0270, -0.0195,  0.0043]],
       device='cuda:0'), grad: tensor([[ 2.9951e-05, -2.6792e-05, -3.1501e-05,  ...,  8.2031e-06,
          8.5086e-06,  1.1154e-05],
        [-1.4961e-04, -6.3956e-05, -6.0052e-05,  ..., -5.1737e-05,
         -6.2943e-05, -6.9201e-05],
        [-9.4604e-04, -1.0973e-04, -5.1677e-05,  ..., -1.7416e-04,
         -1.8346e-04, -2.0885e-04],
        ...,
        [ 3.8338e-04,  8.6546e-05,  6.5982e-05,  ...,  9.0778e-05,
          1.0258e-04,  1.1402e-04],
        [ 4.9114e-04,  6.0260e-05,  3.3230e-05,  ...,  8.3089e-05,
          8.5413e-05,  9.7692e-05],
        [ 1.1992e-04,  3.7611e-05,  3.2216e-05,  ...,  2.8685e-05,
          3.3110e-05,  3.6567e-05]], device='cuda:0')
Epoch 47, bias, value: tensor([-0.0350,  0.0456, -0.0582, -0.0206,  0.0506, -0.0320,  0.0536],
       device='cuda:0'), grad: tensor([ 0.0002, -0.0003, -0.0027,  0.0002,  0.0010,  0.0014,  0.0003],
       device='cuda:0')
306
0.0026306566876350096
changing lr
epoch 46, time 470.73, cls_loss 0.0037 cls_loss_mapping 0.0379 cls_loss_causal 0.6401 re_mapping 0.0456 re_causal 0.0483 /// teacc 86.06 lr 0.00243550
Epoch 48, weight, value: tensor([[ 0.2481,  0.2483,  0.2807,  ..., -0.0153, -0.0034, -0.0146],
        [-0.0491, -0.0443, -0.0660,  ...,  0.0528,  0.0550,  0.0475],
        [-0.0905, -0.0833, -0.0982,  ...,  0.0396,  0.0224,  0.0159],
        ...,
        [-0.1091, -0.1123, -0.0700,  ...,  0.0180,  0.0684,  0.0517],
        [-0.0202, -0.0186, -0.0425,  ..., -0.1343, -0.1516, -0.1641],
        [ 0.0814,  0.0831,  0.0739,  ..., -0.0267, -0.0193,  0.0045]],
       device='cuda:0'), grad: tensor([[-6.1356e-06, -1.0031e-04, -1.0329e-04,  ..., -3.7737e-06,
          4.6641e-06, -4.1816e-07],
        [ 1.4558e-05,  8.7991e-06,  8.2701e-06,  ...,  1.1362e-07,
          1.1306e-06,  1.6019e-06],
        [-2.8872e-04, -2.8953e-05, -2.7329e-05,  ..., -4.5776e-05,
         -5.9903e-05, -6.5863e-05],
        ...,
        [ 1.9741e-04,  9.6142e-05,  9.7275e-05,  ...,  3.3945e-05,
          3.6329e-05,  4.4256e-05],
        [ 5.7846e-05,  1.5557e-05,  1.5691e-05,  ...,  1.1273e-05,
          1.2152e-05,  1.4022e-05],
        [ 1.4775e-05,  4.5337e-06,  5.0813e-06,  ...,  3.1181e-06,
          4.2319e-06,  4.7013e-06]], device='cuda:0')
Epoch 48, bias, value: tensor([-0.0331,  0.0446, -0.0586, -0.0211,  0.0488, -0.0323,  0.0554],
       device='cuda:0'), grad: tensor([ 2.4533e-04,  1.8641e-05, -8.0538e-04,  1.8939e-05,  3.4881e-04,
         1.3614e-04,  3.7193e-05], device='cuda:0')
306
0.0024355036129704724
changing lr
epoch 47, time 429.21, cls_loss 0.0029 cls_loss_mapping 0.0359 cls_loss_causal 0.6213 re_mapping 0.0454 re_causal 0.0483 /// teacc 85.58 lr 0.00224552
Epoch 49, weight, value: tensor([[ 0.2480,  0.2482,  0.2805,  ..., -0.0153, -0.0034, -0.0146],
        [-0.0491, -0.0442, -0.0658,  ...,  0.0525,  0.0547,  0.0473],
        [-0.0902, -0.0832, -0.0981,  ...,  0.0395,  0.0223,  0.0158],
        ...,
        [-0.1089, -0.1120, -0.0699,  ...,  0.0180,  0.0682,  0.0516],
        [-0.0203, -0.0188, -0.0426,  ..., -0.1339, -0.1512, -0.1637],
        [ 0.0814,  0.0828,  0.0736,  ..., -0.0265, -0.0191,  0.0047]],
       device='cuda:0'), grad: tensor([[-2.2233e-04, -1.4102e-04, -1.4091e-04,  ..., -3.0786e-05,
         -3.1620e-05, -3.5584e-05],
        [ 7.0989e-05,  1.6347e-05,  1.2673e-05,  ...,  1.3053e-05,
          1.4298e-05,  1.8820e-05],
        [ 9.7334e-05,  4.0352e-05,  3.7849e-05,  ...,  1.6138e-05,
          1.6898e-05,  2.0996e-05],
        ...,
        [ 1.5485e-04,  8.2076e-05,  8.0466e-05,  ...,  2.3916e-05,
          2.5123e-05,  2.9176e-05],
        [-1.0288e-04, -8.0243e-06,  7.8324e-07,  ..., -2.0772e-05,
         -2.2560e-05, -3.1799e-05],
        [-3.6329e-05,  1.5283e-06,  2.0489e-06,  ..., -9.4473e-06,
         -1.0073e-05, -1.0923e-05]], device='cuda:0')
Epoch 49, bias, value: tensor([-0.0331,  0.0438, -0.0579, -0.0215,  0.0480, -0.0320,  0.0564],
       device='cuda:0'), grad: tensor([-0.0002,  0.0002,  0.0002,  0.0001,  0.0002, -0.0004, -0.0001],
       device='cuda:0')
306
0.00224551509273949
changing lr
epoch 48, time 427.84, cls_loss 0.0030 cls_loss_mapping 0.0376 cls_loss_causal 0.6181 re_mapping 0.0457 re_causal 0.0488 /// teacc 87.98 lr 0.00206107
Epoch 50, weight, value: tensor([[ 0.2472,  0.2477,  0.2799,  ..., -0.0154, -0.0036, -0.0148],
        [-0.0493, -0.0442, -0.0657,  ...,  0.0523,  0.0545,  0.0471],
        [-0.0901, -0.0832, -0.0980,  ...,  0.0394,  0.0223,  0.0158],
        ...,
        [-0.1086, -0.1115, -0.0695,  ...,  0.0177,  0.0678,  0.0513],
        [-0.0209, -0.0190, -0.0428,  ..., -0.1336, -0.1509, -0.1634],
        [ 0.0821,  0.0828,  0.0736,  ..., -0.0262, -0.0188,  0.0050]],
       device='cuda:0'), grad: tensor([[ 1.4400e-04,  4.0770e-05,  3.5912e-05,  ...,  4.9591e-05,
          5.7667e-05,  5.9694e-05],
        [-2.9826e-04, -7.5936e-05, -6.6042e-05,  ..., -1.1307e-04,
         -1.3459e-04, -1.3673e-04],
        [ 1.9684e-05,  1.6894e-06,  8.9593e-07,  ...,  1.1876e-05,
          1.4775e-05,  1.4365e-05],
        ...,
        [ 2.1636e-05,  5.9158e-06,  5.1521e-06,  ...,  7.8231e-06,
          9.0152e-06,  9.3728e-06],
        [ 7.5512e-06, -1.0384e-06, -7.2550e-07,  ...,  5.0589e-06,
          8.4639e-06,  7.0296e-06],
        [ 9.3520e-05,  2.5243e-05,  2.1860e-05,  ...,  3.4422e-05,
          3.9756e-05,  4.1187e-05]], device='cuda:0')
Epoch 50, bias, value: tensor([-0.0340,  0.0430, -0.0577, -0.0202,  0.0473, -0.0331,  0.0585],
       device='cuda:0'), grad: tensor([ 3.0828e-04, -6.5708e-04,  5.1737e-05,  2.4900e-05,  4.6939e-05,
         2.0772e-05,  2.0397e-04], device='cuda:0')
306
0.002061073738537637
changing lr
epoch 49, time 427.43, cls_loss 0.0027 cls_loss_mapping 0.0358 cls_loss_causal 0.6541 re_mapping 0.0448 re_causal 0.0479 /// teacc 88.46 lr 0.00188255
Epoch 51, weight, value: tensor([[ 0.2476,  0.2479,  0.2800,  ..., -0.0152, -0.0035, -0.0146],
        [-0.0483, -0.0439, -0.0654,  ...,  0.0525,  0.0547,  0.0474],
        [-0.0902, -0.0832, -0.0979,  ...,  0.0392,  0.0221,  0.0157],
        ...,
        [-0.1085, -0.1113, -0.0694,  ...,  0.0177,  0.0677,  0.0511],
        [-0.0210, -0.0191, -0.0428,  ..., -0.1333, -0.1506, -0.1629],
        [ 0.0808,  0.0820,  0.0729,  ..., -0.0264, -0.0190,  0.0046]],
       device='cuda:0'), grad: tensor([[-7.3761e-06, -6.8903e-05, -6.1393e-05,  ...,  3.7342e-05,
          4.6521e-05,  4.6879e-05],
        [-4.7827e-04, -1.3089e-04, -1.4806e-04,  ..., -1.6093e-04,
         -1.8084e-04, -1.7262e-04],
        [ 9.6321e-05,  4.4078e-05,  4.3571e-05,  ...,  2.0713e-05,
          2.2292e-05,  2.2203e-05],
        ...,
        [ 1.0103e-04,  4.2081e-05,  4.1813e-05,  ...,  2.4498e-05,
          2.7284e-05,  2.7090e-05],
        [-7.2420e-05, -5.0105e-06, -3.0901e-06,  ..., -3.3885e-05,
         -3.8385e-05, -3.9697e-05],
        [ 3.3355e-04,  1.0943e-04,  1.1837e-04,  ...,  1.0401e-04,
          1.1396e-04,  1.0717e-04]], device='cuda:0')
Epoch 51, bias, value: tensor([-0.0331,  0.0450, -0.0578, -0.0209,  0.0469, -0.0330,  0.0567],
       device='cuda:0'), grad: tensor([ 1.2612e-04, -9.6321e-04,  1.7142e-04,  6.3956e-05,  1.8120e-04,
        -2.7323e-04,  6.9284e-04], device='cuda:0')
306
0.0018825509907063344
changing lr
epoch 50, time 426.95, cls_loss 0.0033 cls_loss_mapping 0.0344 cls_loss_causal 0.6313 re_mapping 0.0445 re_causal 0.0478 /// teacc 86.54 lr 0.00171031
Epoch 52, weight, value: tensor([[ 0.2476,  0.2479,  0.2798,  ..., -0.0152, -0.0035, -0.0146],
        [-0.0481, -0.0439, -0.0653,  ...,  0.0525,  0.0548,  0.0474],
        [-0.0902, -0.0832, -0.0979,  ...,  0.0390,  0.0220,  0.0156],
        ...,
        [-0.1074, -0.1107, -0.0689,  ...,  0.0179,  0.0678,  0.0512],
        [-0.0213, -0.0192, -0.0429,  ..., -0.1330, -0.1503, -0.1626],
        [ 0.0802,  0.0816,  0.0724,  ..., -0.0264, -0.0191,  0.0045]],
       device='cuda:0'), grad: tensor([[ 1.1891e-04,  3.1561e-05,  2.2739e-05,  ...,  3.7551e-05,
          2.8744e-05,  3.4332e-05],
        [ 2.6679e-04,  6.5207e-05,  4.4525e-05,  ...,  7.9095e-05,
          5.8681e-05,  7.3135e-05],
        [ 7.6234e-05,  1.8701e-05,  1.0729e-05,  ...,  2.2352e-05,
          1.4529e-05,  1.7613e-05],
        ...,
        [ 3.4004e-05,  5.2080e-06,  1.2452e-06,  ...,  9.4548e-06,
          6.0275e-06,  6.8285e-06],
        [-1.1311e-03, -2.8086e-04, -1.7083e-04,  ..., -3.4928e-04,
         -2.4164e-04, -2.8658e-04],
        [ 3.1185e-04,  7.9513e-05,  4.2439e-05,  ...,  1.0026e-04,
          6.4373e-05,  7.1526e-05]], device='cuda:0')
Epoch 52, bias, value: tensor([-0.0330,  0.0449, -0.0578, -0.0217,  0.0485, -0.0332,  0.0560],
       device='cuda:0'), grad: tensor([ 0.0003,  0.0008,  0.0002,  0.0009,  0.0001, -0.0033,  0.0009],
       device='cuda:0')
306
0.0017103063703014388
changing lr
epoch 51, time 429.18, cls_loss 0.0033 cls_loss_mapping 0.0337 cls_loss_causal 0.6361 re_mapping 0.0436 re_causal 0.0467 /// teacc 83.65 lr 0.00154469
Epoch 53, weight, value: tensor([[ 0.2471,  0.2476,  0.2795,  ..., -0.0152, -0.0035, -0.0147],
        [-0.0487, -0.0439, -0.0653,  ...,  0.0522,  0.0545,  0.0471],
        [-0.0902, -0.0831, -0.0978,  ...,  0.0388,  0.0219,  0.0155],
        ...,
        [-0.1067, -0.1102, -0.0686,  ...,  0.0180,  0.0678,  0.0513],
        [-0.0216, -0.0193, -0.0429,  ..., -0.1328, -0.1500, -0.1623],
        [ 0.0808,  0.0815,  0.0723,  ..., -0.0261, -0.0189,  0.0047]],
       device='cuda:0'), grad: tensor([[-2.8858e-03, -1.5879e-03, -1.5993e-03,  ..., -4.1032e-04,
         -5.5933e-04, -5.7220e-04],
        [ 2.7132e-04,  1.4031e-04,  1.3936e-04,  ...,  5.5403e-05,
          6.7294e-05,  6.7949e-05],
        [ 7.6151e-04,  4.0030e-04,  4.0221e-04,  ...,  1.1492e-04,
          1.5497e-04,  1.5962e-04],
        ...,
        [ 1.3828e-03,  7.1383e-04,  7.1812e-04,  ...,  1.9825e-04,
          2.7800e-04,  2.9016e-04],
        [-2.2149e-04,  8.4192e-06,  1.9401e-05,  ..., -1.2338e-04,
         -1.3256e-04, -1.3959e-04],
        [ 5.5552e-04,  2.9540e-04,  2.9325e-04,  ...,  1.1337e-04,
          1.3423e-04,  1.3423e-04]], device='cuda:0')
Epoch 53, bias, value: tensor([-0.0338,  0.0429, -0.0577, -0.0219,  0.0494, -0.0337,  0.0586],
       device='cuda:0'), grad: tensor([-0.0040,  0.0004,  0.0011,  0.0004,  0.0021, -0.0009,  0.0009],
       device='cuda:0')
306
0.0015446867550656784
changing lr
epoch 52, time 430.64, cls_loss 0.0035 cls_loss_mapping 0.0352 cls_loss_causal 0.6378 re_mapping 0.0435 re_causal 0.0466 /// teacc 85.58 lr 0.00138603
Epoch 54, weight, value: tensor([[ 0.2474,  0.2477,  0.2796,  ..., -0.0150, -0.0034, -0.0145],
        [-0.0488, -0.0439, -0.0652,  ...,  0.0520,  0.0543,  0.0469],
        [-0.0901, -0.0832, -0.0979,  ...,  0.0387,  0.0218,  0.0155],
        ...,
        [-0.1063, -0.1099, -0.0683,  ...,  0.0181,  0.0678,  0.0514],
        [-0.0212, -0.0193, -0.0429,  ..., -0.1324, -0.1496, -0.1619],
        [ 0.0799,  0.0810,  0.0718,  ..., -0.0262, -0.0191,  0.0045]],
       device='cuda:0'), grad: tensor([[ 4.4417e-04,  1.6558e-04,  1.5855e-04,  ...,  2.1517e-04,
          2.1636e-04,  2.3675e-04],
        [ 9.7871e-05,  3.1441e-05,  2.6315e-05,  ...,  5.4896e-05,
          5.1409e-05,  5.7578e-05],
        [ 5.0247e-05,  2.3901e-05,  2.0757e-05,  ...,  3.8058e-05,
          3.3408e-05,  3.6001e-05],
        ...,
        [-2.1362e-04, -1.0002e-04, -1.0782e-04,  ..., -8.4937e-05,
         -9.6142e-05, -1.0109e-04],
        [ 1.8752e-04,  5.8442e-05,  4.9949e-05,  ...,  9.8109e-05,
          9.3877e-05,  1.0526e-04],
        [ 1.3046e-03,  4.1962e-04,  3.4881e-04,  ...,  7.3671e-04,
          6.8760e-04,  7.7057e-04]], device='cuda:0')
Epoch 54, bias, value: tensor([-0.0333,  0.0422, -0.0572, -0.0223,  0.0495, -0.0324,  0.0572],
       device='cuda:0'), grad: tensor([ 0.0009,  0.0002,  0.0001, -0.0045, -0.0004,  0.0004,  0.0031],
       device='cuda:0')
306
0.001386025680863044
changing lr
epoch 53, time 427.28, cls_loss 0.0021 cls_loss_mapping 0.0327 cls_loss_causal 0.5944 re_mapping 0.0434 re_causal 0.0465 /// teacc 88.94 lr 0.00123464
Epoch 55, weight, value: tensor([[ 0.2475,  0.2476,  0.2795,  ..., -0.0149, -0.0033, -0.0144],
        [-0.0489, -0.0439, -0.0652,  ...,  0.0518,  0.0542,  0.0468],
        [-0.0900, -0.0831, -0.0978,  ...,  0.0387,  0.0218,  0.0155],
        ...,
        [-0.1068, -0.1099, -0.0684,  ...,  0.0180,  0.0676,  0.0511],
        [-0.0210, -0.0193, -0.0429,  ..., -0.1321, -0.1493, -0.1615],
        [ 0.0799,  0.0808,  0.0717,  ..., -0.0261, -0.0190,  0.0045]],
       device='cuda:0'), grad: tensor([[ 3.1680e-05,  1.2154e-06, -2.8219e-07,  ...,  1.5661e-05,
          1.7688e-05,  1.8716e-05],
        [ 2.3949e-04,  2.4959e-05,  1.8969e-05,  ...,  1.3852e-04,
          1.4877e-04,  1.5247e-04],
        [ 1.6904e-04,  3.0249e-05,  1.9073e-05,  ...,  8.3625e-05,
          9.3639e-05,  9.9063e-05],
        ...,
        [ 3.6716e-04,  5.6565e-05,  3.5137e-05,  ...,  1.9920e-04,
          2.1935e-04,  2.2936e-04],
        [ 4.8161e-05,  3.6024e-06, -6.8396e-06,  ...,  5.0902e-05,
          5.4926e-05,  5.8174e-05],
        [ 2.0003e-04,  3.6567e-05,  2.5868e-05,  ...,  9.4771e-05,
          1.0562e-04,  1.1134e-04]], device='cuda:0')
Epoch 55, bias, value: tensor([-0.0327,  0.0418, -0.0569, -0.0223,  0.0481, -0.0316,  0.0574],
       device='cuda:0'), grad: tensor([ 9.8288e-05,  6.6566e-04,  4.4632e-04, -2.8362e-03,  9.7656e-04,
         1.2803e-04,  5.2500e-04], device='cuda:0')
306
0.0012346426699819469
changing lr
epoch 54, time 429.05, cls_loss 0.0017 cls_loss_mapping 0.0296 cls_loss_causal 0.6024 re_mapping 0.0432 re_causal 0.0464 /// teacc 87.50 lr 0.00109084
Epoch 56, weight, value: tensor([[ 0.2472,  0.2475,  0.2793,  ..., -0.0149, -0.0033, -0.0144],
        [-0.0489, -0.0439, -0.0651,  ...,  0.0517,  0.0541,  0.0467],
        [-0.0899, -0.0831, -0.0977,  ...,  0.0386,  0.0218,  0.0155],
        ...,
        [-0.1066, -0.1098, -0.0684,  ...,  0.0180,  0.0675,  0.0511],
        [-0.0209, -0.0193, -0.0429,  ..., -0.1319, -0.1491, -0.1613],
        [ 0.0798,  0.0807,  0.0716,  ..., -0.0261, -0.0190,  0.0045]],
       device='cuda:0'), grad: tensor([[-3.3474e-03, -2.1229e-03, -2.0885e-03,  ..., -2.0981e-04,
         -3.1662e-04, -3.3784e-04],
        [ 2.4605e-04,  1.4138e-04,  1.3793e-04,  ...,  3.1292e-05,
          3.9667e-05,  4.2975e-05],
        [ 1.2693e-03,  7.1526e-04,  6.9714e-04,  ...,  1.6069e-04,
          2.0373e-04,  2.1863e-04],
        ...,
        [ 6.1178e-04,  3.5381e-04,  3.4547e-04,  ...,  7.1764e-05,
          9.2328e-05,  9.9242e-05],
        [ 6.0844e-04,  2.5725e-04,  2.4486e-04,  ...,  1.1837e-04,
          1.4007e-04,  1.4651e-04],
        [ 1.3056e-03,  7.2861e-04,  7.1001e-04,  ...,  1.7309e-04,
          2.1768e-04,  2.3365e-04]], device='cuda:0')
Epoch 56, bias, value: tensor([-0.0329,  0.0416, -0.0569, -0.0224,  0.0480, -0.0312,  0.0576],
       device='cuda:0'), grad: tensor([-0.0040,  0.0004,  0.0019, -0.0025,  0.0009,  0.0013,  0.0020],
       device='cuda:0')
306
0.0010908425876598518
changing lr
epoch 55, time 426.80, cls_loss 0.0022 cls_loss_mapping 0.0329 cls_loss_causal 0.6184 re_mapping 0.0427 re_causal 0.0458 /// teacc 86.06 lr 0.00095492
Epoch 57, weight, value: tensor([[ 0.2475,  0.2476,  0.2794,  ..., -0.0149, -0.0033, -0.0143],
        [-0.0490, -0.0439, -0.0651,  ...,  0.0516,  0.0539,  0.0466],
        [-0.0899, -0.0830, -0.0976,  ...,  0.0385,  0.0217,  0.0154],
        ...,
        [-0.1065, -0.1096, -0.0683,  ...,  0.0180,  0.0674,  0.0511],
        [-0.0207, -0.0193, -0.0429,  ..., -0.1316, -0.1488, -0.1610],
        [ 0.0791,  0.0803,  0.0713,  ..., -0.0262, -0.0191,  0.0043]],
       device='cuda:0'), grad: tensor([[ 4.2391e-04,  1.2326e-04,  1.0896e-04,  ...,  1.5497e-04,
          1.8597e-04,  2.0492e-04],
        [-1.5807e-04, -5.4806e-05, -4.8727e-05,  ..., -3.1233e-05,
         -3.6001e-05, -4.9263e-05],
        [ 2.2995e-04,  7.9930e-05,  6.9261e-05,  ...,  8.5711e-05,
          1.0091e-04,  9.5487e-05],
        ...,
        [-5.3787e-04, -1.6129e-04, -1.4102e-04,  ..., -2.2840e-04,
         -2.7609e-04, -2.7633e-04],
        [ 2.2441e-05,  1.0282e-05,  1.1332e-05,  ...,  7.6592e-06,
          1.0222e-05,  1.0461e-05],
        [ 9.7454e-06,  8.0746e-07, -2.0936e-06,  ...,  9.2760e-06,
          1.2159e-05,  1.1526e-05]], device='cuda:0')
Epoch 57, bias, value: tensor([-0.0323,  0.0411, -0.0570, -0.0218,  0.0477, -0.0305,  0.0565],
       device='cuda:0'), grad: tensor([ 1.1177e-03, -3.0947e-04,  5.4264e-04,  2.3723e-05, -1.4601e-03,
         4.5985e-05,  4.0382e-05], device='cuda:0')
306
0.000954915028125264
changing lr
epoch 56, time 428.67, cls_loss 0.0014 cls_loss_mapping 0.0284 cls_loss_causal 0.5831 re_mapping 0.0422 re_causal 0.0451 /// teacc 89.42 lr 0.00082713
Epoch 58, weight, value: tensor([[ 0.2476,  0.2476,  0.2793,  ..., -0.0148, -0.0033, -0.0143],
        [-0.0488, -0.0438, -0.0650,  ...,  0.0515,  0.0539,  0.0466],
        [-0.0900, -0.0830, -0.0976,  ...,  0.0384,  0.0216,  0.0153],
        ...,
        [-0.1065, -0.1095, -0.0683,  ...,  0.0180,  0.0674,  0.0510],
        [-0.0208, -0.0194, -0.0429,  ..., -0.1315, -0.1486, -0.1608],
        [ 0.0788,  0.0800,  0.0710,  ..., -0.0262, -0.0191,  0.0043]],
       device='cuda:0'), grad: tensor([[ 1.0282e-05, -2.3227e-06, -4.9472e-06,  ...,  5.3830e-06,
          5.2825e-06,  6.8247e-06],
        [-1.4150e-04, -3.4779e-05, -2.1845e-05,  ..., -4.9174e-05,
         -5.9396e-05, -6.2883e-05],
        [ 5.2303e-05,  1.5765e-05,  1.3009e-05,  ...,  1.6302e-05,
          1.9863e-05,  2.0280e-05],
        ...,
        [ 2.0757e-05,  5.6326e-06,  4.7274e-06,  ...,  6.5118e-06,
          7.2829e-06,  7.7114e-06],
        [-4.5560e-06,  1.7434e-06,  8.5402e-07,  ..., -4.2468e-06,
         -4.0457e-06, -3.2615e-06],
        [ 5.4955e-05,  1.2606e-05,  7.1153e-06,  ...,  2.2396e-05,
          2.7567e-05,  2.8089e-05]], device='cuda:0')
Epoch 58, bias, value: tensor([-0.0320,  0.0412, -0.0571, -0.0216,  0.0475, -0.0304,  0.0562],
       device='cuda:0'), grad: tensor([ 5.3912e-05, -3.7479e-04,  1.2082e-04,  2.0117e-05,  5.1171e-05,
        -1.5542e-05,  1.4389e-04], device='cuda:0')
306
0.0008271337313934874
changing lr
epoch 57, time 423.71, cls_loss 0.0016 cls_loss_mapping 0.0269 cls_loss_causal 0.5705 re_mapping 0.0421 re_causal 0.0451 /// teacc 87.98 lr 0.00070776
Epoch 59, weight, value: tensor([[ 0.2474,  0.2474,  0.2791,  ..., -0.0149, -0.0033, -0.0143],
        [-0.0487, -0.0437, -0.0649,  ...,  0.0515,  0.0538,  0.0465],
        [-0.0899, -0.0830, -0.0975,  ...,  0.0383,  0.0216,  0.0153],
        ...,
        [-0.1063, -0.1094, -0.0682,  ...,  0.0181,  0.0674,  0.0510],
        [-0.0207, -0.0194, -0.0429,  ..., -0.1313, -0.1485, -0.1606],
        [ 0.0785,  0.0799,  0.0709,  ..., -0.0262, -0.0192,  0.0042]],
       device='cuda:0'), grad: tensor([[-9.9182e-05, -6.8128e-05, -6.8247e-05,  ..., -9.6485e-06,
         -9.5665e-06, -1.1303e-05],
        [-1.1706e-04, -3.6120e-05, -3.3170e-05,  ..., -3.1769e-05,
         -3.9518e-05, -4.3839e-05],
        [ 1.0276e-04,  3.3408e-05,  3.0905e-05,  ...,  3.1918e-05,
          3.6389e-05,  3.8296e-05],
        ...,
        [-8.3864e-05,  3.0044e-06,  7.2084e-06,  ..., -4.6194e-05,
         -5.0426e-05, -5.1051e-05],
        [ 8.7619e-05,  2.3827e-05,  2.1413e-05,  ...,  3.0056e-05,
          3.3259e-05,  3.5048e-05],
        [ 8.0526e-05,  3.5167e-05,  3.3796e-05,  ...,  1.6659e-05,
          1.9476e-05,  2.1666e-05]], device='cuda:0')
Epoch 59, bias, value: tensor([-0.0322,  0.0413, -0.0569, -0.0217,  0.0476, -0.0303,  0.0558],
       device='cuda:0'), grad: tensor([-1.0520e-04, -2.8086e-04,  2.3329e-04,  6.8605e-05, -2.8443e-04,
         2.1255e-04,  1.5569e-04], device='cuda:0')
306
0.00070775603199067
changing lr
epoch 58, time 421.70, cls_loss 0.0019 cls_loss_mapping 0.0311 cls_loss_causal 0.5978 re_mapping 0.0416 re_causal 0.0446 /// teacc 88.46 lr 0.00059702
Epoch 60, weight, value: tensor([[ 0.2471,  0.2473,  0.2789,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0483, -0.0436, -0.0647,  ...,  0.0515,  0.0539,  0.0466],
        [-0.0900, -0.0830, -0.0975,  ...,  0.0382,  0.0215,  0.0152],
        ...,
        [-0.1060, -0.1092, -0.0680,  ...,  0.0181,  0.0674,  0.0510],
        [-0.0210, -0.0194, -0.0429,  ..., -0.1313, -0.1484, -0.1605],
        [ 0.0782,  0.0797,  0.0707,  ..., -0.0263, -0.0192,  0.0042]],
       device='cuda:0'), grad: tensor([[ 9.6798e-05,  3.5226e-05,  3.2395e-05,  ...,  2.2635e-05,
          2.4319e-05,  2.8834e-05],
        [-1.2958e-04, -2.9504e-05, -2.5034e-05,  ..., -5.7399e-05,
         -6.4015e-05, -7.1168e-05],
        [ 2.7716e-05,  7.5512e-06,  6.8322e-06,  ...,  8.3372e-06,
          8.8662e-06,  1.0163e-05],
        ...,
        [ 1.3828e-05,  3.9861e-06,  3.5781e-06,  ...,  7.3947e-06,
          5.8748e-06,  6.3442e-06],
        [-9.2566e-05, -2.2456e-05, -2.1636e-05,  ..., -2.6435e-05,
         -1.8954e-05, -2.1636e-05],
        [-9.8124e-06, -1.6779e-05, -1.5572e-05,  ...,  9.1493e-06,
          7.4469e-06,  6.7241e-06]], device='cuda:0')
Epoch 60, bias, value: tensor([-0.0326,  0.0420, -0.0573, -0.0211,  0.0478, -0.0307,  0.0556],
       device='cuda:0'), grad: tensor([ 2.0659e-04, -3.7932e-04,  6.7472e-05,  2.5487e-04,  4.3511e-05,
        -2.1946e-04,  2.6584e-05], device='cuda:0')
306
0.0005970223407163104
changing lr
epoch 59, time 419.85, cls_loss 0.0019 cls_loss_mapping 0.0281 cls_loss_causal 0.6170 re_mapping 0.0414 re_causal 0.0446 /// teacc 86.54 lr 0.00049516
Epoch 61, weight, value: tensor([[ 0.2471,  0.2472,  0.2789,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0482, -0.0435, -0.0646,  ...,  0.0515,  0.0538,  0.0465],
        [-0.0900, -0.0830, -0.0975,  ...,  0.0382,  0.0215,  0.0152],
        ...,
        [-0.1060, -0.1092, -0.0680,  ...,  0.0181,  0.0673,  0.0510],
        [-0.0211, -0.0195, -0.0430,  ..., -0.1312, -0.1483, -0.1604],
        [ 0.0781,  0.0796,  0.0706,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[ 3.0851e-04,  8.7559e-05,  8.5950e-05,  ...,  8.6188e-05,
          9.1970e-05,  9.9599e-05],
        [ 9.4950e-05,  2.9132e-05,  2.7582e-05,  ...,  3.2783e-05,
          3.2723e-05,  3.5316e-05],
        [ 2.3806e-04,  6.7055e-05,  6.4909e-05,  ...,  6.5923e-05,
          6.9439e-05,  7.5936e-05],
        ...,
        [-6.3276e-04, -1.7273e-04, -1.7107e-04,  ..., -1.5140e-04,
         -1.6677e-04, -1.8263e-04],
        [ 4.5270e-05,  1.0677e-05,  1.3418e-05,  ...,  2.3127e-05,
          2.5794e-05,  2.4602e-05],
        [ 1.1426e-04,  3.2634e-05,  3.1173e-05,  ...,  3.8356e-05,
          4.0770e-05,  4.3154e-05]], device='cuda:0')
Epoch 61, bias, value: tensor([-0.0325,  0.0420, -0.0571, -0.0209,  0.0476, -0.0309,  0.0554],
       device='cuda:0'), grad: tensor([ 6.9857e-04,  2.1350e-04,  5.4169e-04, -3.6597e-04, -1.4334e-03,
         8.5652e-05,  2.5988e-04], device='cuda:0')
306
0.0004951556604879052
changing lr
epoch 60, time 418.06, cls_loss 0.0022 cls_loss_mapping 0.0259 cls_loss_causal 0.6041 re_mapping 0.0412 re_causal 0.0443 /// teacc 86.54 lr 0.00040236
Epoch 62, weight, value: tensor([[ 0.2470,  0.2472,  0.2788,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0483, -0.0435, -0.0646,  ...,  0.0514,  0.0538,  0.0465],
        [-0.0900, -0.0830, -0.0975,  ...,  0.0382,  0.0215,  0.0152],
        ...,
        [-0.1060, -0.1091, -0.0680,  ...,  0.0181,  0.0673,  0.0510],
        [-0.0210, -0.0195, -0.0430,  ..., -0.1311, -0.1482, -0.1603],
        [ 0.0780,  0.0795,  0.0705,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[-1.7226e-04, -1.2827e-04, -1.2863e-04,  ..., -2.8118e-05,
         -2.7418e-05, -3.1918e-05],
        [ 7.6115e-05,  2.7344e-05,  2.4825e-05,  ...,  2.2009e-05,
          1.9506e-05,  2.3991e-05],
        [-1.7416e-04, -4.3243e-05, -3.6567e-05,  ..., -5.5730e-05,
         -6.6042e-05, -7.8082e-05],
        ...,
        [ 1.4949e-04,  5.6535e-05,  5.2422e-05,  ...,  3.9339e-05,
          4.3750e-05,  5.2392e-05],
        [ 3.4302e-05,  1.2308e-05,  1.1645e-05,  ..., -4.5598e-06,
          4.0010e-06,  5.4576e-06],
        [ 2.7195e-05,  5.8621e-05,  6.1750e-05,  ...,  8.6352e-06,
          8.2105e-06,  5.7817e-06]], device='cuda:0')
Epoch 62, bias, value: tensor([-0.0326,  0.0417, -0.0571, -0.0207,  0.0475, -0.0307,  0.0555],
       device='cuda:0'), grad: tensor([-1.1986e-04,  1.8978e-04, -5.1594e-04,  1.7297e-04,  3.4547e-04,
         1.6943e-05, -8.9169e-05], device='cuda:0')
306
0.00040236113724274745
changing lr
epoch 61, time 417.60, cls_loss 0.0014 cls_loss_mapping 0.0258 cls_loss_causal 0.5725 re_mapping 0.0409 re_causal 0.0440 /// teacc 87.50 lr 0.00031883
Epoch 63, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0483, -0.0435, -0.0645,  ...,  0.0514,  0.0538,  0.0465],
        [-0.0899, -0.0830, -0.0975,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1060, -0.1090, -0.0679,  ...,  0.0181,  0.0672,  0.0509],
        [-0.0210, -0.0195, -0.0430,  ..., -0.1310, -0.1482, -0.1602],
        [ 0.0780,  0.0794,  0.0704,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[-3.8743e-06, -7.7784e-06, -8.5309e-06,  ...,  9.4250e-07,
          1.3597e-06,  1.5721e-06],
        [ 1.4007e-05,  4.0494e-06,  3.5055e-06,  ...,  4.4778e-06,
          4.9956e-06,  5.0962e-06],
        [-1.5117e-05, -8.3074e-07,  8.9593e-07,  ..., -2.8815e-06,
         -3.7625e-06, -4.4890e-06],
        ...,
        [ 3.1926e-06,  2.3656e-07, -2.8312e-07,  ...,  2.5332e-07,
          3.2783e-07,  6.7800e-07],
        [-1.6674e-05, -3.1460e-06, -2.5742e-06,  ..., -6.2101e-06,
         -7.0110e-06, -7.0184e-06],
        [ 1.7866e-05,  6.9812e-06,  6.5118e-06,  ...,  4.3884e-06,
          4.9882e-06,  5.0478e-06]], device='cuda:0')
Epoch 63, bias, value: tensor([-0.0326,  0.0417, -0.0570, -0.0206,  0.0473, -0.0306,  0.0555],
       device='cuda:0'), grad: tensor([ 9.9242e-06,  3.3975e-05, -4.4495e-05,  3.4831e-07,  9.3728e-06,
        -4.6074e-05,  3.7163e-05], device='cuda:0')
306
0.00031882564680131423
changing lr
epoch 62, time 418.99, cls_loss 0.0020 cls_loss_mapping 0.0323 cls_loss_causal 0.5851 re_mapping 0.0406 re_causal 0.0436 /// teacc 88.46 lr 0.00024472
Epoch 64, weight, value: tensor([[ 0.2469,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0482, -0.0434, -0.0645,  ...,  0.0514,  0.0538,  0.0465],
        [-0.0899, -0.0829, -0.0975,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1060, -0.1090, -0.0679,  ...,  0.0181,  0.0672,  0.0509],
        [-0.0210, -0.0195, -0.0430,  ..., -0.1310, -0.1481, -0.1602],
        [ 0.0778,  0.0793,  0.0704,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[ 1.2884e-03,  1.9336e-04,  1.0115e-04,  ...,  3.2020e-04,
          3.5286e-04,  3.9339e-04],
        [ 6.8521e-04,  1.0777e-04,  5.8651e-05,  ...,  1.6892e-04,
          1.8585e-04,  2.0766e-04],
        [ 1.1377e-03,  1.6427e-04,  7.5102e-05,  ...,  2.8133e-04,
          3.1304e-04,  3.5000e-04],
        ...,
        [ 2.3975e-03,  3.2902e-04,  1.3816e-04,  ...,  5.9986e-04,
          6.6805e-04,  7.4720e-04],
        [-8.9111e-03, -1.2150e-03, -5.0020e-04,  ..., -2.2259e-03,
         -2.4834e-03, -2.7771e-03],
        [ 3.9291e-04,  1.2249e-05, -3.6687e-05,  ...,  1.0353e-04,
          1.2201e-04,  1.3936e-04]], device='cuda:0')
Epoch 64, bias, value: tensor([-0.0327,  0.0418, -0.0569, -0.0207,  0.0473, -0.0304,  0.0553],
       device='cuda:0'), grad: tensor([ 0.0043,  0.0023,  0.0039,  0.0104,  0.0083, -0.0308,  0.0017],
       device='cuda:0')
306
0.0002447174185242325
changing lr
epoch 63, time 414.73, cls_loss 0.0017 cls_loss_mapping 0.0244 cls_loss_causal 0.6037 re_mapping 0.0406 re_causal 0.0438 /// teacc 86.06 lr 0.00018019
Epoch 65, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0482, -0.0434, -0.0645,  ...,  0.0514,  0.0538,  0.0465],
        [-0.0899, -0.0829, -0.0975,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1059, -0.1090, -0.0679,  ...,  0.0181,  0.0672,  0.0509],
        [-0.0209, -0.0195, -0.0429,  ..., -0.1309, -0.1480, -0.1601],
        [ 0.0777,  0.0792,  0.0703,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[-4.4964e-06, -1.0490e-05, -1.0796e-05,  ...,  1.2871e-06,
          1.4622e-06,  2.0340e-06],
        [ 7.4387e-05,  1.5885e-05,  1.3448e-05,  ...,  1.7881e-05,
          1.8552e-05,  2.2933e-05],
        [ 9.9063e-05,  2.2203e-05,  1.9148e-05,  ...,  2.7061e-05,
          2.4825e-05,  3.1203e-05],
        ...,
        [ 2.1532e-05,  5.4277e-06,  4.3362e-06,  ..., -1.9260e-06,
         -1.6876e-06, -8.2701e-07],
        [ 1.1361e-04,  2.1651e-05,  1.7896e-05,  ...,  3.0607e-05,
          2.9683e-05,  3.7044e-05],
        [-7.2420e-05, -2.1517e-05, -1.9461e-05,  ..., -1.2890e-05,
         -1.8656e-05, -2.1428e-05]], device='cuda:0')
Epoch 65, bias, value: tensor([-0.0326,  0.0418, -0.0570, -0.0208,  0.0472, -0.0302,  0.0552],
       device='cuda:0'), grad: tensor([ 2.3663e-05,  1.9288e-04,  2.5082e-04, -6.5517e-04,  5.3644e-05,
         3.0255e-04, -1.6916e-04], device='cuda:0')
306
0.0001801856965207339
changing lr
epoch 64, time 413.22, cls_loss 0.0016 cls_loss_mapping 0.0248 cls_loss_causal 0.6161 re_mapping 0.0405 re_causal 0.0437 /// teacc 88.94 lr 0.00012536
Epoch 66, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0481, -0.0434, -0.0645,  ...,  0.0513,  0.0538,  0.0465],
        [-0.0898, -0.0829, -0.0974,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1059, -0.1090, -0.0679,  ...,  0.0180,  0.0672,  0.0509],
        [-0.0209, -0.0195, -0.0430,  ..., -0.1309, -0.1480, -0.1601],
        [ 0.0777,  0.0792,  0.0703,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[-7.0512e-05, -4.7058e-05, -5.0157e-05,  ..., -8.2478e-06,
         -8.2850e-06, -9.5665e-06],
        [ 2.0787e-05,  9.5218e-06,  9.8273e-06,  ...,  3.1665e-06,
          3.2280e-06,  4.0270e-06],
        [-4.8801e-06,  1.4380e-06,  2.3991e-06,  ..., -1.5441e-06,
         -1.7043e-06, -3.0026e-06],
        ...,
        [ 7.8917e-05,  3.0667e-05,  3.0696e-05,  ...,  1.4104e-05,
          1.4886e-05,  1.8507e-05],
        [ 4.3333e-05,  1.1683e-05,  1.1191e-05,  ...,  9.6634e-06,
          9.5069e-06,  1.1683e-05],
        [-9.7632e-05, -2.0340e-05, -1.8418e-05,  ..., -2.1979e-05,
         -2.2665e-05, -2.7910e-05]], device='cuda:0')
Epoch 66, bias, value: tensor([-0.0326,  0.0419, -0.0568, -0.0208,  0.0471, -0.0302,  0.0551],
       device='cuda:0'), grad: tensor([-8.1718e-05,  3.6746e-05, -2.0251e-05,  5.1826e-05,  1.5628e-04,
         1.0252e-04, -2.4605e-04], device='cuda:0')
306
0.000125360439090882
changing lr
epoch 65, time 415.02, cls_loss 0.0015 cls_loss_mapping 0.0254 cls_loss_causal 0.5788 re_mapping 0.0404 re_causal 0.0434 /// teacc 87.50 lr 0.00008035
Epoch 67, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0144],
        [-0.0481, -0.0434, -0.0645,  ...,  0.0513,  0.0537,  0.0465],
        [-0.0898, -0.0829, -0.0974,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1060, -0.1090, -0.0679,  ...,  0.0180,  0.0672,  0.0509],
        [-0.0209, -0.0195, -0.0430,  ..., -0.1309, -0.1480, -0.1600],
        [ 0.0777,  0.0792,  0.0702,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[ 4.1676e-04,  1.7440e-04,  1.6701e-04,  ...,  7.9632e-05,
          8.6963e-05,  9.7990e-05],
        [ 1.0794e-04,  4.8518e-05,  4.6700e-05,  ...,  2.0698e-05,
          2.1353e-05,  2.3842e-05],
        [ 1.4484e-04,  6.3241e-05,  6.0648e-05,  ...,  2.8014e-05,
          3.1024e-05,  3.4124e-05],
        ...,
        [-2.1820e-03, -9.4128e-04, -9.0265e-04,  ..., -4.2129e-04,
         -4.6349e-04, -5.1355e-04],
        [ 8.1873e-04,  3.5405e-04,  3.3951e-04,  ...,  1.5831e-04,
          1.7440e-04,  1.9288e-04],
        [ 6.5470e-04,  2.8372e-04,  2.7227e-04,  ...,  1.2708e-04,
          1.4138e-04,  1.5545e-04]], device='cuda:0')
Epoch 67, bias, value: tensor([-0.0325,  0.0418, -0.0568, -0.0208,  0.0470, -0.0302,  0.0551],
       device='cuda:0'), grad: tensor([ 9.2602e-04,  2.3615e-04,  3.1257e-04,  8.7500e-05, -4.7569e-03,
         1.7815e-03,  1.4172e-03], device='cuda:0')
306
8.03520570068517e-05
changing lr
epoch 66, time 411.65, cls_loss 0.0014 cls_loss_mapping 0.0245 cls_loss_causal 0.5859 re_mapping 0.0403 re_causal 0.0433 /// teacc 88.46 lr 0.00004525
Epoch 68, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0143],
        [-0.0482, -0.0434, -0.0645,  ...,  0.0513,  0.0537,  0.0464],
        [-0.0898, -0.0829, -0.0974,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1060, -0.1089, -0.0679,  ...,  0.0180,  0.0671,  0.0509],
        [-0.0209, -0.0195, -0.0430,  ..., -0.1309, -0.1480, -0.1600],
        [ 0.0776,  0.0792,  0.0702,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[ 6.9320e-05,  2.5973e-05,  2.5213e-05,  ...,  1.3977e-05,
          1.4402e-05,  1.9848e-05],
        [ 9.1970e-05,  1.9833e-05,  1.6674e-05,  ...,  5.2363e-05,
          5.4508e-05,  6.0260e-05],
        [ 1.2094e-04,  4.5180e-05,  4.3631e-05,  ...,  2.4304e-05,
          2.4974e-05,  3.4660e-05],
        ...,
        [ 1.0721e-05,  3.2503e-06,  2.9113e-06,  ...,  4.1090e-06,
          4.3735e-06,  5.1148e-06],
        [-1.9260e-06,  8.3819e-08,  8.9779e-07,  ...,  8.9593e-07,
          7.9162e-07,  1.0133e-06],
        [-2.2829e-04, -8.7917e-05, -8.5890e-05,  ..., -4.2439e-05,
         -4.3660e-05, -6.2108e-05]], device='cuda:0')
Epoch 68, bias, value: tensor([-0.0325,  0.0418, -0.0568, -0.0208,  0.0470, -0.0302,  0.0551],
       device='cuda:0'), grad: tensor([ 1.3232e-04,  2.3067e-04,  2.3127e-04, -1.8311e-04,  2.3663e-05,
        -9.8050e-06, -4.2439e-04], device='cuda:0')
306
4.5251191160326525e-05
changing lr
epoch 67, time 411.01, cls_loss 0.0014 cls_loss_mapping 0.0238 cls_loss_causal 0.6263 re_mapping 0.0403 re_causal 0.0434 /// teacc 86.06 lr 0.00002013
Epoch 69, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0143],
        [-0.0482, -0.0434, -0.0645,  ...,  0.0513,  0.0537,  0.0464],
        [-0.0898, -0.0829, -0.0974,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1060, -0.1089, -0.0679,  ...,  0.0180,  0.0671,  0.0509],
        [-0.0209, -0.0195, -0.0430,  ..., -0.1309, -0.1479, -0.1600],
        [ 0.0776,  0.0792,  0.0702,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[-1.0309e-03, -6.2466e-04, -6.1512e-04,  ..., -9.6560e-05,
         -1.5414e-04, -1.9073e-04],
        [ 5.1165e-04,  2.3520e-04,  2.2519e-04,  ...,  1.5378e-04,
          1.6558e-04,  1.8859e-04],
        [ 3.4738e-04,  1.6952e-04,  1.6379e-04,  ...,  7.6950e-05,
          8.8632e-05,  1.0359e-04],
        ...,
        [-6.6471e-04, -1.8024e-04, -1.5926e-04,  ..., -3.7694e-04,
         -3.6836e-04, -4.0412e-04],
        [ 2.2173e-04,  7.6950e-05,  7.1943e-05,  ...,  7.9215e-05,
          8.2910e-05,  9.3460e-05],
        [ 4.4799e-04,  2.6631e-04,  2.6083e-04,  ...,  8.7559e-05,
          1.0908e-04,  1.2445e-04]], device='cuda:0')
Epoch 69, bias, value: tensor([-0.0325,  0.0418, -0.0568, -0.0208,  0.0470, -0.0301,  0.0551],
       device='cuda:0'), grad: tensor([-0.0012,  0.0010,  0.0006,  0.0004, -0.0018,  0.0005,  0.0005],
       device='cuda:0')
306
2.0128530023804673e-05
changing lr
epoch 68, time 410.85, cls_loss 0.0015 cls_loss_mapping 0.0246 cls_loss_causal 0.5761 re_mapping 0.0403 re_causal 0.0433 /// teacc 89.42 lr 0.00000503
Epoch 70, weight, value: tensor([[ 0.2470,  0.2471,  0.2787,  ..., -0.0149, -0.0034, -0.0143],
        [-0.0482, -0.0434, -0.0645,  ...,  0.0513,  0.0537,  0.0464],
        [-0.0898, -0.0829, -0.0974,  ...,  0.0381,  0.0214,  0.0152],
        ...,
        [-0.1059, -0.1089, -0.0679,  ...,  0.0180,  0.0671,  0.0509],
        [-0.0209, -0.0195, -0.0430,  ..., -0.1309, -0.1479, -0.1600],
        [ 0.0776,  0.0791,  0.0702,  ..., -0.0262, -0.0192,  0.0041]],
       device='cuda:0'), grad: tensor([[ 3.0696e-05,  8.4490e-06,  8.9705e-06,  ...,  7.9796e-06,
          8.0392e-06,  9.2313e-06],
        [ 2.1577e-05,  5.4277e-06,  5.2042e-06,  ...,  7.7486e-06,
          7.9274e-06,  8.6129e-06],
        [ 1.7853e-06,  1.0766e-06,  1.6764e-08,  ...,  1.8803e-06,
          2.0973e-06,  1.9260e-06],
        ...,
        [ 7.2084e-06,  2.0005e-06,  1.8878e-06,  ...,  1.7714e-06,
          1.9129e-06,  2.2277e-06],
        [-7.9811e-05, -2.2769e-05, -2.2128e-05,  ..., -2.4080e-05,
         -2.4781e-05, -2.7478e-05],
        [ 1.5169e-05,  3.6657e-06,  3.6526e-06,  ...,  5.2936e-06,
          5.4389e-06,  5.9977e-06]], device='cuda:0')
Epoch 70, bias, value: tensor([-0.0325,  0.0418, -0.0568, -0.0208,  0.0470, -0.0301,  0.0551],
       device='cuda:0'), grad: tensor([ 8.1778e-05,  6.2466e-05,  9.5889e-06,  1.1146e-05,  2.0608e-05,
        -2.3401e-04,  4.8488e-05], device='cuda:0')
306
5.034667293427056e-06
changing lr
epoch 69, time 414.33, cls_loss 0.0018 cls_loss_mapping 0.0269 cls_loss_causal 0.6085 re_mapping 0.0402 re_causal 0.0433 /// teacc 88.46 lr 0.00000000
---------------------saving last model at epoch 69----------------------------------------------------
/home/yuqian_fu
{'gpu': '0', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//art_painting/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_WithStyleAttackExp1', 'source_domain': 'art_painting', 'svpath': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//art_painting/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_WithStyleAttackExp1/art_painting_16factor_best_test_check.csv', 'factor_num': 16, 'epoch': 'best', 'stride': 5, 'eval_mapping': False, 'network': 'resnet18'}
-------------------------------------loading pretrain weights----------------------------------
loading weight of best
randm: False
stride: 5
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columns: ['art_painting', 'cartoon', 'photo', 'sketch']
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/art_painting_test.hdf5 torch.Size([2048, 3, 227, 227]) torch.Size([2048])
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/cartoon_test.hdf5 torch.Size([2344, 3, 227, 227]) torch.Size([2344])
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/photo_test.hdf5 torch.Size([1670, 3, 227, 227]) torch.Size([1670])
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/sketch_test.hdf5 torch.Size([3929, 3, 227, 227]) torch.Size([3929])
                     art_painting    cartoon      photo     sketch        Avg
w/o do (original x)     99.023438  69.795222  90.778443  73.199287  77.924317
    art_painting  cartoon      photo     sketch        Avg
do     99.023438  72.1843  92.035928  72.410283  78.876837