/home/yuqian_fu here1 here2 {'gpu': '0', 'data': 'mnist', 'ntr': None, 'translate': None, 'autoaug': 'CA_multiple', 'n': 3, 'stride': 3, 'factor_num': 14, 'epochs': 500, 'nbatch': 100, 'batchsize': 32, 'lr': 0.0001, 'lr_scheduler': 'Step', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-digit/CA_multiple_14fa_all_ep500_lr1e-4_lr_schedulerStep0.8_bs32_lamCa_1_lamRe_1_cls1_adt2_EW2_100_rmTrue_rnTrue_str3_WithStyleAttackExp1_onlyblock1', 'clsadapt': True, 'lambda_causal': 1.0, 'lambda_re': 1.0, 'randm': True, 'randn': True, 'network': 'resnet18'} stride: 3 --------------------------CA_multiple-------------------------- ---------------------------14 factors----------------- randm: True randn: True n: 3 randm: False Epoch 1, weight, value: tensor([[ 0.0173, 0.0306, -0.0042, ..., -0.0188, -0.0066, 0.0181], [ 0.0281, 0.0010, 0.0214, ..., 0.0243, 0.0040, 0.0179], [-0.0077, -0.0215, 0.0062, ..., -0.0144, -0.0264, -0.0055], ..., [ 0.0224, 0.0166, -0.0166, ..., 0.0290, 0.0155, 0.0165], [-0.0193, 0.0286, 0.0257, ..., -0.0082, 0.0264, -0.0109], [-0.0253, 0.0006, -0.0054, ..., -0.0236, 0.0260, -0.0084]], device='cuda:0'), grad: None Epoch 1, bias, value: tensor([-0.0255, -0.0243, 0.0124, 0.0280, -0.0300, 0.0068, -0.0089, 0.0085, 0.0148, 0.0024], device='cuda:0'), grad: None 100 0.0001 changing lr ---------------------saving model at epoch 0---------------------------------------------------- epoch 0, time 231.27, cls_loss 1.4751 cls_loss_mapping 1.9400 cls_loss_causal 2.2389 re_mapping 0.1137 re_causal 0.1194 /// teacc 84.13 lr 0.00010000 Epoch 2, weight, value: tensor([[ 0.0133, 0.0299, -0.0042, ..., -0.0238, -0.0077, 0.0233], [ 0.0266, 0.0002, 0.0214, ..., 0.0301, -0.0032, 0.0105], [-0.0028, -0.0208, 0.0062, ..., -0.0190, -0.0348, -0.0113], ..., [ 0.0157, 0.0158, -0.0166, ..., 0.0328, 0.0181, 0.0169], [-0.0201, 0.0293, 0.0257, ..., -0.0133, 0.0269, -0.0149], [-0.0255, -0.0002, -0.0054, ..., -0.0239, 0.0291, -0.0084]], device='cuda:0'), grad: tensor([[ 2.4967e-03, 0.0000e+00, 0.0000e+00, ..., 4.3988e-04, 3.1681e-03, -1.4107e-02], [ 1.6384e-03, 0.0000e+00, 0.0000e+00, ..., 7.8440e-05, 2.8885e-02, 3.9787e-03], [-5.4455e-04, 0.0000e+00, 0.0000e+00, ..., 6.7253e-03, 5.4855e-03, 1.0399e-02], ..., [ 1.3294e-03, 0.0000e+00, 0.0000e+00, ..., -8.6288e-03, -8.6288e-03, -3.0060e-03], [ 3.6144e-03, 0.0000e+00, 0.0000e+00, ..., -1.3275e-03, 5.7125e-04, -1.9360e-03], [ 2.4452e-03, 0.0000e+00, 0.0000e+00, ..., -8.1940e-03, -7.5867e-02, 4.2076e-03]], device='cuda:0') Epoch 2, bias, value: tensor([-0.0287, -0.0235, 0.0136, 0.0277, -0.0296, 0.0074, -0.0087, 0.0083, 0.0148, 0.0025], device='cuda:0'), grad: tensor([-4.5128e-03, 4.0192e-02, -9.7275e-05, 3.7476e-02, 5.2094e-02, -1.0628e-02, -3.1311e-02, -3.4161e-03, -6.4468e-03, -7.3303e-02], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 1---------------------------------------------------- epoch 1, time 231.25, cls_loss 0.4496 cls_loss_mapping 0.7952 cls_loss_causal 1.9208 re_mapping 0.2048 re_causal 0.2571 /// teacc 91.96 lr 0.00010000 Epoch 3, weight, value: tensor([[ 0.0113, 0.0281, -0.0042, ..., -0.0263, -0.0091, 0.0256], [ 0.0259, -0.0008, 0.0214, ..., 0.0364, -0.0061, 0.0075], [-0.0015, -0.0225, 0.0062, ..., -0.0249, -0.0381, -0.0132], ..., [ 0.0135, 0.0148, -0.0166, ..., 0.0323, 0.0188, 0.0165], [-0.0231, 0.0272, 0.0257, ..., -0.0165, 0.0278, -0.0184], [-0.0304, -0.0013, -0.0054, ..., -0.0254, 0.0302, -0.0065]], device='cuda:0'), grad: tensor([[ 7.9060e-04, 6.3912e-08, 0.0000e+00, ..., 5.9128e-04, 5.7411e-03, 2.6684e-03], [-7.2403e-03, 1.0827e-07, 0.0000e+00, ..., -3.5248e-02, -3.4165e-04, 3.4618e-03], [ 1.7529e-03, 4.5379e-07, 0.0000e+00, ..., 4.0321e-03, -2.6321e-03, -2.0218e-03], ..., [ 1.1425e-03, 8.0094e-08, 0.0000e+00, ..., 1.6190e-02, 4.8859e-02, 3.9795e-02], [ 6.6376e-03, 6.3004e-07, 0.0000e+00, ..., 1.1307e-02, 2.8534e-02, 2.4780e-02], [ 3.6907e-03, 2.6263e-07, 0.0000e+00, ..., -1.3596e-02, -4.4983e-02, -1.8082e-02]], device='cuda:0') Epoch 3, bias, value: tensor([-0.0295, -0.0240, 0.0135, 0.0274, -0.0294, 0.0087, -0.0091, 0.0080, 0.0149, 0.0028], device='cuda:0'), grad: tensor([ 0.0059, -0.0243, -0.0141, -0.0109, 0.0059, -0.0525, 0.0269, 0.0481, 0.0435, -0.0286], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 2---------------------------------------------------- epoch 2, time 230.12, cls_loss 0.2639 cls_loss_mapping 0.4504 cls_loss_causal 1.6539 re_mapping 0.1510 re_causal 0.2428 /// teacc 94.47 lr 0.00010000 Epoch 4, weight, value: tensor([[ 0.0107, 0.0269, -0.0137, ..., -0.0287, -0.0102, 0.0271], [ 0.0260, -0.0124, 0.0275, ..., 0.0406, -0.0077, 0.0060], [-0.0010, -0.0233, 0.0040, ..., -0.0279, -0.0403, -0.0142], ..., [ 0.0119, 0.0040, -0.0148, ..., 0.0314, 0.0189, 0.0160], [-0.0251, 0.0193, 0.0213, ..., -0.0192, 0.0280, -0.0212], [-0.0337, -0.0143, -0.0120, ..., -0.0265, 0.0303, -0.0052]], device='cuda:0'), grad: tensor([[ 9.4986e-04, 1.4651e-04, 0.0000e+00, ..., 5.0879e-04, 3.8013e-03, 4.7684e-03], [-2.6093e-03, 4.9412e-05, 0.0000e+00, ..., -1.5808e-02, 1.6994e-03, 1.7805e-03], [ 3.1796e-03, 7.7724e-05, 0.0000e+00, ..., 4.6939e-05, 2.7771e-03, 2.1725e-03], ..., [ 2.8687e-03, 1.3447e-04, 0.0000e+00, ..., 3.2482e-03, -1.3056e-03, -7.1945e-03], [-4.0627e-03, 9.9421e-05, 0.0000e+00, ..., 3.5896e-03, -3.4698e-02, -1.2833e-02], [ 1.5427e-02, 1.5140e-04, 0.0000e+00, ..., 3.0346e-03, 4.0314e-02, 2.0691e-02]], device='cuda:0') Epoch 4, bias, value: tensor([-0.0295, -0.0240, 0.0138, 0.0274, -0.0291, 0.0089, -0.0095, 0.0082, 0.0149, 0.0025], device='cuda:0'), grad: tensor([ 0.0054, -0.0058, -0.0110, -0.0102, -0.0265, 0.0318, -0.0035, 0.0080, -0.0385, 0.0503], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 3---------------------------------------------------- epoch 3, time 230.50, cls_loss 0.1886 cls_loss_mapping 0.3218 cls_loss_causal 1.4555 re_mapping 0.1124 re_causal 0.2161 /// teacc 95.11 lr 0.00010000 Epoch 5, weight, value: tensor([[ 0.0096, 0.0280, -0.0157, ..., -0.0304, -0.0110, 0.0282], [ 0.0265, -0.0194, 0.0267, ..., 0.0443, -0.0090, 0.0043], [-0.0012, -0.0267, 0.0054, ..., -0.0287, -0.0421, -0.0156], ..., [ 0.0107, -0.0005, -0.0145, ..., 0.0298, 0.0191, 0.0148], [-0.0256, 0.0141, 0.0215, ..., -0.0209, 0.0276, -0.0230], [-0.0364, -0.0251, -0.0142, ..., -0.0267, 0.0309, -0.0032]], device='cuda:0'), grad: tensor([[ 0.0006, 0.0000, 0.0003, ..., 0.0025, 0.0061, 0.0123], [ 0.0015, 0.0000, 0.0003, ..., 0.0003, 0.0019, 0.0022], [ 0.0061, 0.0000, 0.0039, ..., 0.0010, 0.0061, -0.0020], ..., [ 0.0011, 0.0000, 0.0027, ..., -0.0009, 0.0025, 0.0093], [-0.0044, 0.0000, -0.0107, ..., 0.0017, -0.0045, -0.0048], [ 0.0067, 0.0000, 0.0032, ..., 0.0021, -0.0006, -0.0030]], device='cuda:0') Epoch 5, bias, value: tensor([-0.0295, -0.0238, 0.0141, 0.0273, -0.0293, 0.0087, -0.0101, 0.0078, 0.0153, 0.0028], device='cuda:0'), grad: tensor([ 0.0132, 0.0048, 0.0251, 0.0001, -0.0099, -0.0006, -0.0026, 0.0138, -0.0546, 0.0106], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 4---------------------------------------------------- epoch 4, time 230.46, cls_loss 0.1512 cls_loss_mapping 0.2504 cls_loss_causal 1.3337 re_mapping 0.0898 re_causal 0.1937 /// teacc 96.41 lr 0.00010000 Epoch 6, weight, value: tensor([[ 0.0094, 0.0278, -0.0200, ..., -0.0307, -0.0122, 0.0290], [ 0.0257, -0.0178, 0.0243, ..., 0.0463, -0.0100, 0.0022], [-0.0013, -0.0270, 0.0064, ..., -0.0297, -0.0440, -0.0179], ..., [ 0.0095, -0.0040, -0.0122, ..., 0.0290, 0.0196, 0.0143], [-0.0264, 0.0106, 0.0217, ..., -0.0220, 0.0274, -0.0251], [-0.0382, -0.0256, -0.0164, ..., -0.0290, 0.0314, -0.0012]], device='cuda:0'), grad: tensor([[ 8.4996e-05, 2.0981e-05, 1.0990e-05, ..., 3.5644e-04, 7.4673e-04, -1.8234e-03], [-6.3705e-04, 5.0440e-06, 7.8082e-05, ..., -7.6180e-03, 1.4734e-03, 3.2234e-04], [-1.8921e-03, 3.7998e-05, -4.5252e-04, ..., -1.3870e-02, -1.2337e-02, -4.7374e-04], ..., [ 4.7040e-04, 2.0981e-05, -5.6982e-05, ..., 7.6180e-03, 3.4447e-03, 4.6182e-04], [ 3.9554e-04, 4.4763e-05, 2.2495e-04, ..., 6.6910e-03, 1.4734e-03, 1.8108e-04], [ 4.5085e-04, 2.5734e-05, 5.2929e-05, ..., 9.3651e-04, 8.4019e-04, 5.4455e-04]], device='cuda:0') Epoch 6, bias, value: tensor([-0.0290, -0.0241, 0.0139, 0.0276, -0.0295, 0.0086, -0.0102, 0.0082, 0.0153, 0.0028], device='cuda:0'), grad: tensor([ 0.0004, -0.0020, -0.0290, 0.0102, 0.0014, -0.0007, 0.0033, 0.0100, 0.0041, 0.0023], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 5---------------------------------------------------- epoch 5, time 230.74, cls_loss 0.1284 cls_loss_mapping 0.2038 cls_loss_causal 1.2811 re_mapping 0.0751 re_causal 0.1766 /// teacc 97.03 lr 0.00010000 Epoch 7, weight, value: tensor([[ 0.0090, 0.0275, -0.0261, ..., -0.0321, -0.0134, 0.0295], [ 0.0253, -0.0169, 0.0234, ..., 0.0491, -0.0115, 0.0009], [-0.0012, -0.0286, 0.0080, ..., -0.0310, -0.0455, -0.0200], ..., [ 0.0085, -0.0077, -0.0103, ..., 0.0280, 0.0203, 0.0137], [-0.0263, 0.0046, 0.0200, ..., -0.0240, 0.0267, -0.0269], [-0.0401, -0.0252, -0.0186, ..., -0.0302, 0.0317, 0.0007]], device='cuda:0'), grad: tensor([[ 1.0996e-03, 2.5809e-05, -2.8014e-04, ..., 9.1839e-04, 6.6090e-04, -2.5463e-03], [ 3.5706e-03, 4.2588e-05, 9.0122e-05, ..., 8.6975e-04, 7.0906e-04, 3.3836e-03], [ 3.6545e-03, 7.8022e-05, -9.8896e-04, ..., 4.3144e-03, 3.1328e-04, 3.0785e-03], ..., [ 1.7281e-03, 5.5641e-05, -1.6224e-04, ..., 1.9817e-03, 4.4847e-04, 7.7534e-04], [ 3.1147e-03, 1.0502e-04, 2.8872e-04, ..., 5.3978e-03, 1.3161e-03, 3.4294e-03], [ 1.1765e-02, 2.5773e-04, 4.0269e-04, ..., 1.0605e-02, 2.5043e-03, 5.0831e-04]], device='cuda:0') Epoch 7, bias, value: tensor([-0.0291, -0.0238, 0.0134, 0.0276, -0.0295, 0.0083, -0.0105, 0.0081, 0.0156, 0.0031], device='cuda:0'), grad: tensor([-0.0019, 0.0109, 0.0075, -0.0144, -0.0455, 0.0057, 0.0050, 0.0049, 0.0115, 0.0161], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 6---------------------------------------------------- epoch 6, time 231.06, cls_loss 0.1087 cls_loss_mapping 0.1717 cls_loss_causal 1.1810 re_mapping 0.0637 re_causal 0.1592 /// teacc 97.37 lr 0.00010000 Epoch 8, weight, value: tensor([[ 0.0082, 0.0254, -0.0309, ..., -0.0326, -0.0139, 0.0307], [ 0.0247, -0.0162, 0.0240, ..., 0.0509, -0.0125, -0.0010], [-0.0014, -0.0290, 0.0139, ..., -0.0320, -0.0471, -0.0211], ..., [ 0.0086, -0.0152, -0.0109, ..., 0.0273, 0.0204, 0.0127], [-0.0272, -0.0032, 0.0197, ..., -0.0259, 0.0265, -0.0291], [-0.0418, -0.0235, -0.0204, ..., -0.0312, 0.0319, 0.0027]], device='cuda:0'), grad: tensor([[ 2.0659e-04, 1.3776e-05, 1.1206e-04, ..., 2.7084e-04, 8.8501e-04, -1.4124e-03], [ 3.8385e-04, 1.0200e-05, 7.7934e-03, ..., -4.5319e-03, 1.2426e-03, 1.2283e-03], [ 4.0388e-04, 9.1121e-06, -9.3079e-03, ..., -5.7030e-03, 5.2071e-03, 1.1215e-03], ..., [ 4.0817e-04, 8.3223e-06, 2.6751e-04, ..., -2.7351e-03, -1.0582e-02, -6.1750e-04], [-2.2564e-03, 8.2627e-06, -1.6813e-03, ..., 6.9199e-03, -1.2314e-02, -7.4959e-03], [ 1.0405e-03, 4.9233e-05, 9.2220e-04, ..., 9.6464e-04, 3.8605e-03, 2.2106e-03]], device='cuda:0') Epoch 8, bias, value: tensor([-0.0288, -0.0239, 0.0134, 0.0277, -0.0295, 0.0082, -0.0108, 0.0080, 0.0157, 0.0034], device='cuda:0'), grad: tensor([ 0.0003, 0.0056, -0.0089, 0.0345, 0.0042, -0.0150, 0.0040, -0.0097, -0.0233, 0.0083], device='cuda:0') 100 0.0001 changing lr epoch 7, time 214.68, cls_loss 0.0823 cls_loss_mapping 0.1428 cls_loss_causal 1.1545 re_mapping 0.0577 re_causal 0.1501 /// teacc 97.34 lr 0.00010000 Epoch 9, weight, value: tensor([[ 0.0073, 0.0247, -0.0334, ..., -0.0337, -0.0150, 0.0312], [ 0.0238, -0.0150, 0.0206, ..., 0.0527, -0.0134, -0.0025], [-0.0017, -0.0287, 0.0195, ..., -0.0332, -0.0484, -0.0220], ..., [ 0.0081, -0.0187, -0.0115, ..., 0.0265, 0.0213, 0.0123], [-0.0268, -0.0070, 0.0190, ..., -0.0272, 0.0266, -0.0306], [-0.0435, -0.0242, -0.0235, ..., -0.0326, 0.0318, 0.0035]], device='cuda:0'), grad: tensor([[ 4.4137e-05, 2.3633e-05, 6.8247e-05, ..., 1.5807e-04, 6.1035e-04, 2.3067e-04], [ 8.1286e-06, 4.2140e-05, 4.3726e-04, ..., 6.9618e-04, 2.5063e-03, 4.3488e-04], [ 3.5435e-05, 4.6909e-05, -1.0433e-03, ..., 1.8644e-04, 8.8501e-04, 3.9744e-04], ..., [ 8.0884e-05, 5.2959e-05, 3.1018e-04, ..., -8.0156e-04, -2.8038e-03, 4.3030e-03], [ 5.5730e-05, 1.3793e-04, -3.6550e-04, ..., -1.2932e-03, -3.2592e-04, 1.4553e-03], [ 2.0528e-04, 4.6158e-04, 1.4091e-04, ..., 3.6788e-04, -5.8327e-03, -9.0714e-03]], device='cuda:0') Epoch 9, bias, value: tensor([-0.0289, -0.0239, 0.0134, 0.0278, -0.0294, 0.0080, -0.0110, 0.0082, 0.0161, 0.0030], device='cuda:0'), grad: tensor([ 0.0009, 0.0063, 0.0006, 0.0009, 0.0051, 0.0042, -0.0014, -0.0037, -0.0067, -0.0062], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 8---------------------------------------------------- epoch 8, time 231.07, cls_loss 0.0974 cls_loss_mapping 0.1531 cls_loss_causal 1.1205 re_mapping 0.0502 re_causal 0.1329 /// teacc 97.53 lr 0.00010000 Epoch 10, weight, value: tensor([[ 0.0072, 0.0233, -0.0351, ..., -0.0344, -0.0160, 0.0317], [ 0.0225, -0.0134, 0.0201, ..., 0.0539, -0.0142, -0.0035], [-0.0015, -0.0283, 0.0218, ..., -0.0336, -0.0495, -0.0220], ..., [ 0.0079, -0.0234, -0.0112, ..., 0.0261, 0.0215, 0.0112], [-0.0272, -0.0138, 0.0204, ..., -0.0285, 0.0262, -0.0319], [-0.0449, -0.0235, -0.0250, ..., -0.0335, 0.0321, 0.0049]], device='cuda:0'), grad: tensor([[ 0.0004, 0.0003, 0.0008, ..., 0.0004, 0.0013, 0.0034], [ 0.0043, 0.0003, 0.0006, ..., 0.0092, 0.0029, 0.0006], [-0.0104, 0.0009, -0.0106, ..., 0.0009, 0.0014, 0.0018], ..., [ 0.0029, 0.0015, 0.0014, ..., 0.0009, -0.0028, 0.0022], [-0.0035, 0.0021, -0.0004, ..., -0.0122, -0.0012, -0.0011], [ 0.0013, 0.0014, 0.0006, ..., 0.0016, 0.0046, 0.0031]], device='cuda:0') Epoch 10, bias, value: tensor([-0.0288, -0.0241, 0.0137, 0.0277, -0.0297, 0.0080, -0.0111, 0.0081, 0.0163, 0.0032], device='cuda:0'), grad: tensor([ 0.0056, 0.0144, -0.0101, -0.0159, 0.0124, -0.0007, 0.0043, 0.0037, -0.0229, 0.0091], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 9---------------------------------------------------- epoch 9, time 230.97, cls_loss 0.0790 cls_loss_mapping 0.1295 cls_loss_causal 1.1225 re_mapping 0.0458 re_causal 0.1269 /// teacc 97.95 lr 0.00010000 Epoch 11, weight, value: tensor([[ 0.0065, 0.0222, -0.0369, ..., -0.0343, -0.0169, 0.0323], [ 0.0220, -0.0125, 0.0181, ..., 0.0553, -0.0153, -0.0044], [-0.0014, -0.0284, 0.0257, ..., -0.0338, -0.0507, -0.0228], ..., [ 0.0071, -0.0255, -0.0116, ..., 0.0246, 0.0224, 0.0109], [-0.0276, -0.0192, 0.0203, ..., -0.0299, 0.0260, -0.0330], [-0.0466, -0.0224, -0.0260, ..., -0.0344, 0.0321, 0.0061]], device='cuda:0'), grad: tensor([[-3.1185e-04, 4.9257e-04, -2.9831e-03, ..., -2.0015e-04, 1.8823e-04, -1.4885e-02], [ 5.7340e-05, 1.9228e-04, 5.2500e-04, ..., -5.2071e-04, 4.3750e-04, 5.1022e-04], [ 4.1783e-05, 8.4877e-04, 6.0081e-03, ..., 9.0504e-04, 1.7653e-03, 4.0207e-03], ..., [ 2.0897e-04, 2.7394e-04, -3.2539e-03, ..., -7.1955e-04, -3.2024e-03, 2.6226e-03], [ 1.0622e-04, 2.7046e-03, -4.4632e-03, ..., 6.5744e-05, 4.3774e-04, 3.3512e-03], [ 5.2547e-04, 2.4529e-03, 9.9850e-04, ..., 3.6693e-04, 2.9993e-04, 4.5090e-03]], device='cuda:0') Epoch 11, bias, value: tensor([-0.0289, -0.0242, 0.0135, 0.0281, -0.0295, 0.0080, -0.0113, 0.0081, 0.0164, 0.0031], device='cuda:0'), grad: tensor([-0.0171, 0.0017, 0.0174, -0.0117, 0.0024, 0.0072, 0.0050, -0.0046, -0.0073, 0.0070], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 10---------------------------------------------------- epoch 10, time 231.03, cls_loss 0.0718 cls_loss_mapping 0.1160 cls_loss_causal 1.1162 re_mapping 0.0435 re_causal 0.1199 /// teacc 97.97 lr 0.00010000 Epoch 12, weight, value: tensor([[ 0.0058, 0.0214, -0.0391, ..., -0.0350, -0.0177, 0.0331], [ 0.0206, -0.0118, 0.0171, ..., 0.0563, -0.0163, -0.0057], [-0.0013, -0.0283, 0.0293, ..., -0.0341, -0.0515, -0.0238], ..., [ 0.0064, -0.0279, -0.0120, ..., 0.0241, 0.0229, 0.0107], [-0.0279, -0.0214, 0.0190, ..., -0.0311, 0.0258, -0.0338], [-0.0479, -0.0231, -0.0282, ..., -0.0351, 0.0320, 0.0072]], device='cuda:0'), grad: tensor([[ 2.3913e-04, 1.4622e-06, 1.0180e-04, ..., 2.3198e-04, 1.6432e-03, 4.9400e-03], [ 4.5419e-04, 5.9277e-05, 1.0014e-03, ..., -2.4378e-04, 6.2799e-04, 5.5742e-04], [-7.3814e-04, -7.1943e-05, -2.2659e-03, ..., -6.0177e-04, 1.8883e-03, 1.8740e-03], ..., [ 2.6894e-04, 1.0140e-05, 6.6757e-04, ..., 7.9060e-04, 8.1482e-03, 2.3041e-02], [ 1.7941e-04, 2.1402e-06, -7.3791e-05, ..., 1.1390e-04, -2.1229e-03, 3.7932e-04], [ 6.6662e-04, 1.8030e-06, 6.2585e-05, ..., 2.7227e-04, -9.3918e-03, -2.7954e-02]], device='cuda:0') Epoch 12, bias, value: tensor([-0.0290, -0.0247, 0.0137, 0.0280, -0.0293, 0.0078, -0.0115, 0.0083, 0.0169, 0.0029], device='cuda:0'), grad: tensor([ 0.0055, 0.0035, 0.0018, -0.0109, 0.0015, 0.0068, 0.0005, 0.0245, -0.0081, -0.0253], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 11---------------------------------------------------- epoch 11, time 228.28, cls_loss 0.0624 cls_loss_mapping 0.1048 cls_loss_causal 1.0583 re_mapping 0.0395 re_causal 0.1123 /// teacc 98.06 lr 0.00010000 Epoch 13, weight, value: tensor([[ 0.0055, 0.0208, -0.0399, ..., -0.0355, -0.0183, 0.0335], [ 0.0199, -0.0115, 0.0155, ..., 0.0573, -0.0169, -0.0060], [-0.0017, -0.0271, 0.0319, ..., -0.0353, -0.0525, -0.0242], ..., [ 0.0060, -0.0299, -0.0118, ..., 0.0239, 0.0236, 0.0101], [-0.0282, -0.0227, 0.0185, ..., -0.0321, 0.0255, -0.0352], [-0.0488, -0.0242, -0.0291, ..., -0.0363, 0.0319, 0.0085]], device='cuda:0'), grad: tensor([[ 1.4067e-04, 5.7276e-07, -3.7163e-05, ..., -4.7040e-04, 3.6240e-04, -2.5997e-03], [ 1.8835e-04, 8.9258e-06, 2.3699e-04, ..., 6.3086e-04, 1.4210e-03, 6.8903e-04], [ 7.1943e-05, 2.3134e-06, -1.1176e-04, ..., 4.1533e-04, 4.5896e-04, 9.1124e-04], ..., [ 4.7970e-04, 2.0981e-05, -3.2640e-04, ..., -1.2999e-03, -2.5940e-03, -1.6699e-03], [ 1.2094e-04, 2.8554e-06, 5.8591e-05, ..., 3.5858e-04, 2.3210e-04, 6.2180e-04], [-5.5389e-03, 1.3225e-05, 2.5317e-05, ..., -3.8834e-03, -1.3266e-03, -5.9586e-03]], device='cuda:0') Epoch 13, bias, value: tensor([-0.0292, -0.0249, 0.0137, 0.0282, -0.0295, 0.0077, -0.0114, 0.0086, 0.0168, 0.0031], device='cuda:0'), grad: tensor([-0.0042, 0.0036, 0.0021, -0.0016, 0.0144, 0.0008, 0.0009, -0.0084, 0.0014, -0.0090], device='cuda:0') 100 0.0001 changing lr epoch 12, time 214.18, cls_loss 0.0559 cls_loss_mapping 0.0966 cls_loss_causal 1.0011 re_mapping 0.0375 re_causal 0.1037 /// teacc 97.91 lr 0.00010000 Epoch 14, weight, value: tensor([[ 0.0050, 0.0205, -0.0415, ..., -0.0358, -0.0191, 0.0343], [ 0.0189, -0.0113, 0.0146, ..., 0.0584, -0.0177, -0.0067], [-0.0020, -0.0271, 0.0353, ..., -0.0363, -0.0537, -0.0249], ..., [ 0.0051, -0.0297, -0.0129, ..., 0.0229, 0.0247, 0.0096], [-0.0284, -0.0235, 0.0166, ..., -0.0326, 0.0257, -0.0355], [-0.0498, -0.0245, -0.0286, ..., -0.0369, 0.0316, 0.0086]], device='cuda:0'), grad: tensor([[ 1.9512e-03, 3.2131e-06, 1.6785e-04, ..., 1.1234e-03, 7.3576e-04, 2.2926e-03], [ 1.6391e-04, 1.8077e-06, 1.5104e-04, ..., -2.1496e-03, 2.0099e-04, 2.3603e-04], [ 4.7326e-04, 9.2983e-06, -7.1716e-04, ..., 4.7779e-04, 2.4378e-04, 4.7779e-04], ..., [ 2.1756e-04, 3.9898e-06, 2.2173e-04, ..., 4.0388e-04, 3.7289e-04, 1.1110e-03], [ 6.1560e-04, 8.0541e-06, -9.9421e-05, ..., 1.2112e-03, 4.2033e-04, 6.2370e-04], [ 1.7519e-03, 1.0781e-05, -5.7650e-04, ..., 9.7466e-04, -1.6632e-03, -3.2368e-03]], device='cuda:0') Epoch 14, bias, value: tensor([-0.0288, -0.0250, 0.0137, 0.0283, -0.0294, 0.0077, -0.0119, 0.0087, 0.0168, 0.0030], device='cuda:0'), grad: tensor([ 0.0060, -0.0013, 0.0011, -0.0048, -0.0099, 0.0042, 0.0033, 0.0021, 0.0013, -0.0020], device='cuda:0') 100 0.0001 changing lr epoch 13, time 214.32, cls_loss 0.0546 cls_loss_mapping 0.0968 cls_loss_causal 0.9870 re_mapping 0.0357 re_causal 0.0996 /// teacc 97.84 lr 0.00010000 Epoch 15, weight, value: tensor([[ 0.0051, 0.0197, -0.0417, ..., -0.0350, -0.0197, 0.0347], [ 0.0186, -0.0121, 0.0125, ..., 0.0593, -0.0179, -0.0077], [-0.0024, -0.0270, 0.0389, ..., -0.0364, -0.0544, -0.0256], ..., [ 0.0047, -0.0320, -0.0136, ..., 0.0224, 0.0252, 0.0091], [-0.0288, -0.0260, 0.0153, ..., -0.0339, 0.0256, -0.0359], [-0.0506, -0.0243, -0.0294, ..., -0.0379, 0.0313, 0.0095]], device='cuda:0'), grad: tensor([[ 1.3602e-04, 4.5031e-05, 3.8952e-05, ..., 1.0127e-04, 8.5354e-05, -2.6751e-04], [ 2.6107e-04, 8.2850e-05, 8.0228e-05, ..., 1.0633e-04, 1.1951e-04, 8.7261e-05], [ 5.9938e-04, -3.7122e-04, -2.0084e-03, ..., 5.2786e-04, 2.1780e-04, 1.5819e-04], ..., [ 1.9145e-04, 1.4442e-02, 9.4473e-05, ..., 1.9264e-04, 2.5421e-02, 9.4604e-03], [ 8.1360e-05, 7.8261e-05, -3.4690e-05, ..., 1.6093e-04, 7.4089e-05, 1.3435e-04], [ 1.0151e-04, 1.4734e-04, 2.9936e-05, ..., 1.3888e-04, 2.0838e-04, 1.9133e-04]], device='cuda:0') Epoch 15, bias, value: tensor([-0.0287, -0.0252, 0.0139, 0.0286, -0.0296, 0.0074, -0.0119, 0.0087, 0.0170, 0.0028], device='cuda:0'), grad: tensor([-5.5969e-05, 6.4278e-04, -5.5075e-04, -2.2446e-02, -6.3801e-04, 5.7554e-04, -7.2002e-04, 2.2964e-02, -4.8351e-04, 7.1621e-04], device='cuda:0') 100 0.0001 changing lr epoch 14, time 214.33, cls_loss 0.0468 cls_loss_mapping 0.0861 cls_loss_causal 0.9745 re_mapping 0.0334 re_causal 0.0961 /// teacc 98.05 lr 0.00010000 Epoch 16, weight, value: tensor([[ 0.0045, 0.0192, -0.0432, ..., -0.0363, -0.0205, 0.0350], [ 0.0178, -0.0112, 0.0113, ..., 0.0600, -0.0188, -0.0084], [-0.0025, -0.0273, 0.0420, ..., -0.0357, -0.0551, -0.0261], ..., [ 0.0041, -0.0331, -0.0145, ..., 0.0216, 0.0258, 0.0086], [-0.0291, -0.0269, 0.0147, ..., -0.0347, 0.0258, -0.0367], [-0.0512, -0.0248, -0.0307, ..., -0.0384, 0.0313, 0.0103]], device='cuda:0'), grad: tensor([[ 2.6798e-04, 0.0000e+00, 1.2064e-04, ..., 7.6413e-05, 2.3723e-04, -3.7212e-03], [ 6.1154e-05, 0.0000e+00, 6.7770e-05, ..., -9.0301e-06, 2.0134e-04, 3.4022e-04], [ 1.4901e-04, 0.0000e+00, -7.6008e-04, ..., 5.8085e-05, 3.2973e-04, 1.3447e-03], ..., [ 4.6372e-05, 0.0000e+00, 7.8619e-05, ..., 2.8402e-05, -1.1320e-03, -1.8311e-04], [-2.6488e-04, 0.0000e+00, -5.3704e-05, ..., 4.4137e-05, -2.1577e-04, -1.8537e-04], [ 1.3518e-04, 0.0000e+00, 8.1301e-05, ..., 5.2691e-05, 7.5817e-04, 6.7806e-04]], device='cuda:0') Epoch 16, bias, value: tensor([-0.0292, -0.0254, 0.0145, 0.0285, -0.0296, 0.0073, -0.0120, 0.0086, 0.0174, 0.0028], device='cuda:0'), grad: tensor([-0.0048, 0.0009, 0.0026, 0.0020, 0.0007, -0.0001, 0.0021, -0.0007, -0.0048, 0.0022], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 15---------------------------------------------------- epoch 15, time 230.54, cls_loss 0.0490 cls_loss_mapping 0.0858 cls_loss_causal 0.9942 re_mapping 0.0306 re_causal 0.0928 /// teacc 98.42 lr 0.00010000 Epoch 17, weight, value: tensor([[ 0.0040, 0.0188, -0.0446, ..., -0.0367, -0.0211, 0.0354], [ 0.0168, -0.0109, 0.0113, ..., 0.0608, -0.0196, -0.0091], [-0.0030, -0.0269, 0.0448, ..., -0.0366, -0.0555, -0.0265], ..., [ 0.0035, -0.0334, -0.0159, ..., 0.0214, 0.0262, 0.0075], [-0.0293, -0.0278, 0.0150, ..., -0.0356, 0.0254, -0.0380], [-0.0525, -0.0254, -0.0322, ..., -0.0399, 0.0318, 0.0116]], device='cuda:0'), grad: tensor([[ 1.6057e-04, 3.1497e-06, 2.2542e-04, ..., 1.0049e-04, 2.0242e-04, 2.5773e-04], [ 3.0541e-04, 1.8418e-05, 2.9802e-05, ..., -1.9045e-03, 1.7858e-04, 9.9480e-05], [ 2.4402e-04, -3.8922e-05, -1.7452e-03, ..., 9.5415e-04, 1.6773e-04, 6.7413e-05], ..., [ 6.3753e-04, 4.4033e-06, 2.7013e-04, ..., 4.6277e-04, 2.1398e-04, 6.1131e-04], [ 7.8297e-04, 3.6061e-05, 2.0945e-04, ..., 4.7708e-04, 1.0347e-03, 6.9141e-04], [-9.7885e-03, 6.1467e-06, 1.5152e-04, ..., -1.2054e-03, -4.0627e-03, -1.2016e-02]], device='cuda:0') Epoch 17, bias, value: tensor([-0.0292, -0.0256, 0.0147, 0.0286, -0.0293, 0.0073, -0.0120, 0.0083, 0.0173, 0.0027], device='cuda:0'), grad: tensor([ 0.0008, -0.0012, -0.0010, 0.0034, 0.0087, -0.0010, 0.0024, 0.0017, 0.0019, -0.0156], device='cuda:0') 100 0.0001 changing lr epoch 16, time 214.80, cls_loss 0.0466 cls_loss_mapping 0.0831 cls_loss_causal 0.9424 re_mapping 0.0305 re_causal 0.0863 /// teacc 98.30 lr 0.00010000 Epoch 18, weight, value: tensor([[ 0.0037, 0.0189, -0.0435, ..., -0.0370, -0.0216, 0.0357], [ 0.0165, -0.0106, 0.0103, ..., 0.0616, -0.0203, -0.0096], [-0.0033, -0.0265, 0.0474, ..., -0.0371, -0.0563, -0.0271], ..., [ 0.0035, -0.0338, -0.0156, ..., 0.0210, 0.0266, 0.0069], [-0.0298, -0.0292, 0.0147, ..., -0.0365, 0.0257, -0.0387], [-0.0535, -0.0258, -0.0333, ..., -0.0407, 0.0315, 0.0127]], device='cuda:0'), grad: tensor([[ 9.9957e-05, 0.0000e+00, 5.3436e-05, ..., 1.6069e-04, 2.5725e-04, 1.3247e-05], [ 2.2674e-04, 0.0000e+00, -1.9598e-04, ..., -6.7291e-03, 8.9169e-05, 2.0564e-04], [ 2.4390e-04, 0.0000e+00, -4.0512e-03, ..., 3.1929e-03, 5.7316e-04, 3.8385e-04], ..., [ 4.6873e-04, 0.0000e+00, 2.4259e-05, ..., 4.0197e-04, 3.0565e-04, 1.1387e-03], [ 1.7416e-04, 0.0000e+00, 3.7136e-03, ..., 1.8606e-03, -7.9811e-05, 5.3835e-04], [ 1.1492e-03, 0.0000e+00, 2.3708e-05, ..., 8.1062e-04, 2.7537e-04, -1.0710e-03]], device='cuda:0') Epoch 18, bias, value: tensor([-0.0290, -0.0257, 0.0147, 0.0287, -0.0293, 0.0071, -0.0119, 0.0083, 0.0173, 0.0027], device='cuda:0'), grad: tensor([ 0.0006, -0.0082, -0.0008, 0.0003, -0.0039, 0.0004, 0.0028, 0.0017, 0.0069, 0.0004], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 17---------------------------------------------------- epoch 17, time 230.83, cls_loss 0.0416 cls_loss_mapping 0.0765 cls_loss_causal 0.9491 re_mapping 0.0285 re_causal 0.0845 /// teacc 98.57 lr 0.00010000 Epoch 19, weight, value: tensor([[ 0.0034, 0.0191, -0.0448, ..., -0.0371, -0.0222, 0.0360], [ 0.0153, -0.0104, 0.0090, ..., 0.0624, -0.0208, -0.0102], [-0.0034, -0.0264, 0.0500, ..., -0.0375, -0.0573, -0.0279], ..., [ 0.0036, -0.0339, -0.0150, ..., 0.0206, 0.0274, 0.0063], [-0.0304, -0.0296, 0.0139, ..., -0.0373, 0.0256, -0.0396], [-0.0546, -0.0259, -0.0350, ..., -0.0417, 0.0314, 0.0137]], device='cuda:0'), grad: tensor([[ 2.6250e-04, 1.2070e-05, 1.6737e-04, ..., 9.4414e-05, 1.0389e-04, -3.4308e-04], [ 6.6638e-05, 1.1757e-05, 1.1915e-04, ..., -1.3912e-04, 2.2101e-04, 6.7294e-05], [ 1.5283e-04, 1.8090e-05, -1.0204e-03, ..., 1.1706e-04, 8.3864e-05, 9.0897e-05], ..., [ 5.9664e-05, 5.5507e-06, 8.6606e-05, ..., 4.8816e-05, 1.0586e-04, 8.7261e-05], [ 9.3460e-05, 1.7107e-05, -4.7162e-06, ..., 8.5354e-05, 7.4482e-04, 3.2926e-04], [ 3.8832e-05, 3.3110e-05, 3.8445e-05, ..., 2.8834e-05, 1.0061e-04, 1.2815e-04]], device='cuda:0') Epoch 19, bias, value: tensor([-0.0292, -0.0258, 0.0147, 0.0286, -0.0291, 0.0072, -0.0119, 0.0085, 0.0172, 0.0027], device='cuda:0'), grad: tensor([ 3.7718e-04, 6.8760e-04, -1.4963e-03, -2.4357e-03, -1.2207e-03, -5.4866e-05, 9.6369e-04, 8.4400e-04, 1.8358e-03, 4.9543e-04], device='cuda:0') 100 0.0001 changing lr epoch 18, time 214.25, cls_loss 0.0428 cls_loss_mapping 0.0776 cls_loss_causal 0.9661 re_mapping 0.0271 re_causal 0.0810 /// teacc 98.26 lr 0.00010000 Epoch 20, weight, value: tensor([[ 0.0032, 0.0192, -0.0442, ..., -0.0376, -0.0228, 0.0368], [ 0.0140, -0.0103, 0.0078, ..., 0.0630, -0.0215, -0.0111], [-0.0034, -0.0263, 0.0516, ..., -0.0377, -0.0583, -0.0285], ..., [ 0.0030, -0.0339, -0.0153, ..., 0.0199, 0.0279, 0.0060], [-0.0307, -0.0298, 0.0129, ..., -0.0376, 0.0258, -0.0404], [-0.0555, -0.0260, -0.0361, ..., -0.0418, 0.0315, 0.0145]], device='cuda:0'), grad: tensor([[ 3.2735e-04, 5.1921e-08, 3.9250e-05, ..., 9.7036e-04, 7.1383e-04, 1.6327e-03], [ 2.4533e-04, 1.1071e-07, 6.6459e-05, ..., 1.3375e-04, 2.6393e-04, 1.4830e-04], [ 4.9305e-04, 1.6496e-07, 1.4102e-04, ..., 2.7895e-04, 4.6039e-04, 6.1989e-04], ..., [ 1.0967e-03, 1.4342e-07, -4.2462e-04, ..., 5.6076e-04, -1.2217e-03, 2.5809e-05], [ 9.8050e-05, 2.7171e-07, 6.9082e-05, ..., 8.2374e-05, 1.8132e-04, 5.0068e-04], [ 3.2592e-04, 1.0757e-06, 4.0650e-05, ..., 2.1398e-04, 7.0000e-04, 8.1968e-04]], device='cuda:0') Epoch 20, bias, value: tensor([-0.0290, -0.0262, 0.0146, 0.0287, -0.0290, 0.0071, -0.0124, 0.0083, 0.0176, 0.0030], device='cuda:0'), grad: tensor([ 2.5883e-03, 8.6260e-04, 2.1019e-03, -4.8294e-03, -2.7599e-03, 1.4362e-03, -1.0462e-03, -6.5136e-04, 6.4559e-06, 2.2926e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 19---------------------------------------------------- epoch 19, time 231.31, cls_loss 0.0361 cls_loss_mapping 0.0672 cls_loss_causal 0.9177 re_mapping 0.0267 re_causal 0.0819 /// teacc 98.70 lr 0.00010000 Epoch 21, weight, value: tensor([[ 0.0028, 0.0192, -0.0433, ..., -0.0384, -0.0234, 0.0370], [ 0.0135, -0.0097, 0.0074, ..., 0.0637, -0.0223, -0.0110], [-0.0038, -0.0267, 0.0537, ..., -0.0386, -0.0589, -0.0288], ..., [ 0.0027, -0.0341, -0.0145, ..., 0.0202, 0.0288, 0.0056], [-0.0311, -0.0302, 0.0116, ..., -0.0383, 0.0257, -0.0414], [-0.0564, -0.0261, -0.0370, ..., -0.0430, 0.0312, 0.0148]], device='cuda:0'), grad: tensor([[ 3.1851e-06, 1.3590e-05, -1.1407e-05, ..., -2.5511e-04, 7.5758e-05, -8.8549e-04], [ 5.4948e-06, 6.8843e-05, 1.1587e-04, ..., -1.7250e-04, 1.7118e-04, 6.3610e-04], [ 1.5628e-06, -8.2016e-04, -1.4057e-03, ..., 1.0067e-04, -4.8685e-04, -6.4735e-03], ..., [ 1.2949e-05, 1.4389e-04, 2.6202e-04, ..., 1.1271e-04, 4.7183e-04, 1.6041e-03], [ 3.2604e-05, 2.5764e-05, 4.0412e-05, ..., 3.1590e-05, 2.0993e-04, 5.6791e-04], [-6.5613e-04, 4.8578e-05, 9.1374e-05, ..., -3.0637e-05, -2.6155e-04, -1.5955e-03]], device='cuda:0') Epoch 21, bias, value: tensor([-0.0292, -0.0262, 0.0145, 0.0289, -0.0289, 0.0068, -0.0122, 0.0088, 0.0174, 0.0027], device='cuda:0'), grad: tensor([-0.0005, 0.0022, -0.0245, 0.0069, 0.0042, 0.0068, 0.0006, 0.0054, 0.0012, -0.0022], device='cuda:0') 100 0.0001 changing lr epoch 20, time 214.82, cls_loss 0.0323 cls_loss_mapping 0.0641 cls_loss_causal 0.9011 re_mapping 0.0253 re_causal 0.0781 /// teacc 98.62 lr 0.00010000 Epoch 22, weight, value: tensor([[ 0.0023, 0.0192, -0.0433, ..., -0.0393, -0.0241, 0.0375], [ 0.0132, -0.0089, 0.0063, ..., 0.0646, -0.0228, -0.0117], [-0.0041, -0.0270, 0.0555, ..., -0.0389, -0.0598, -0.0293], ..., [ 0.0022, -0.0343, -0.0144, ..., 0.0194, 0.0294, 0.0053], [-0.0313, -0.0301, 0.0115, ..., -0.0397, 0.0262, -0.0420], [-0.0569, -0.0262, -0.0391, ..., -0.0434, 0.0310, 0.0154]], device='cuda:0'), grad: tensor([[ 6.1989e-05, 1.3828e-05, 4.1509e-04, ..., 3.6806e-05, 3.7575e-04, 2.1172e-04], [ 8.8573e-05, 3.4403e-06, 1.6201e-04, ..., -3.9792e-04, 6.2513e-04, 5.2881e-04], [-4.1008e-04, -4.0412e-05, -4.0550e-03, ..., 1.0848e-04, -1.1902e-03, 2.7037e-04], ..., [ 1.2994e-04, 6.5006e-07, 6.1417e-04, ..., 8.3148e-05, 6.5374e-04, 7.2575e-04], [ 1.4532e-04, 1.2532e-05, 9.2316e-04, ..., 5.7727e-05, -4.1084e-03, -4.1771e-03], [ 1.3399e-04, 3.2643e-07, 3.6865e-05, ..., 2.1076e-04, -9.5320e-04, -1.9474e-03]], device='cuda:0') Epoch 22, bias, value: tensor([-0.0291, -0.0259, 0.0145, 0.0286, -0.0290, 0.0068, -0.0123, 0.0088, 0.0177, 0.0026], device='cuda:0'), grad: tensor([ 0.0012, 0.0015, -0.0035, 0.0009, 0.0009, 0.0082, 0.0016, 0.0017, -0.0113, -0.0011], device='cuda:0') 100 0.0001 changing lr epoch 21, time 214.62, cls_loss 0.0252 cls_loss_mapping 0.0508 cls_loss_causal 0.8864 re_mapping 0.0240 re_causal 0.0751 /// teacc 98.64 lr 0.00010000 Epoch 23, weight, value: tensor([[ 0.0019, 0.0196, -0.0438, ..., -0.0393, -0.0249, 0.0379], [ 0.0126, -0.0091, 0.0047, ..., 0.0652, -0.0233, -0.0120], [-0.0043, -0.0270, 0.0582, ..., -0.0391, -0.0605, -0.0296], ..., [ 0.0019, -0.0345, -0.0148, ..., 0.0188, 0.0299, 0.0048], [-0.0316, -0.0304, 0.0108, ..., -0.0405, 0.0259, -0.0428], [-0.0575, -0.0263, -0.0412, ..., -0.0439, 0.0309, 0.0160]], device='cuda:0'), grad: tensor([[ 1.1081e-04, 4.3074e-08, 1.4305e-04, ..., -6.6161e-05, -5.9366e-04, -2.2659e-03], [ 1.0145e-04, 1.0844e-07, 8.4221e-05, ..., 9.5785e-05, 1.0097e-04, 2.5964e-04], [ 5.0426e-05, 1.2142e-07, -3.1261e-03, ..., 1.3494e-04, 9.6083e-05, -1.1692e-03], ..., [ 4.0054e-05, 1.5006e-07, 3.0875e-05, ..., 2.2590e-04, -2.7180e-04, 2.5082e-04], [ 8.9645e-05, 3.0850e-07, 5.4789e-04, ..., 2.0826e-04, 1.5473e-04, 4.9114e-04], [ 1.0328e-03, 2.7381e-07, 3.7670e-05, ..., 8.4305e-04, 8.3447e-04, -5.8985e-04]], device='cuda:0') Epoch 23, bias, value: tensor([-0.0293, -0.0260, 0.0147, 0.0289, -0.0290, 0.0072, -0.0125, 0.0086, 0.0175, 0.0026], device='cuda:0'), grad: tensor([-0.0014, 0.0005, -0.0035, 0.0033, -0.0028, 0.0009, -0.0012, 0.0001, 0.0012, 0.0031], device='cuda:0') 100 0.0001 changing lr epoch 22, time 214.69, cls_loss 0.0232 cls_loss_mapping 0.0481 cls_loss_causal 0.8837 re_mapping 0.0233 re_causal 0.0717 /// teacc 98.64 lr 0.00010000 Epoch 24, weight, value: tensor([[ 0.0014, 0.0201, -0.0443, ..., -0.0394, -0.0255, 0.0382], [ 0.0118, -0.0090, 0.0034, ..., 0.0660, -0.0237, -0.0128], [-0.0048, -0.0271, 0.0606, ..., -0.0397, -0.0611, -0.0301], ..., [ 0.0015, -0.0348, -0.0153, ..., 0.0184, 0.0302, 0.0045], [-0.0318, -0.0310, 0.0104, ..., -0.0412, 0.0258, -0.0431], [-0.0582, -0.0264, -0.0422, ..., -0.0444, 0.0308, 0.0165]], device='cuda:0'), grad: tensor([[ 1.7270e-05, 4.0000e-07, 1.3423e-04, ..., -3.1620e-05, 2.4796e-04, -3.2187e-04], [ 4.7892e-05, 1.5562e-06, 2.3174e-04, ..., 1.7792e-05, 1.8358e-04, 9.0659e-05], [ 2.6256e-05, -1.7500e-06, -2.3127e-04, ..., -2.5749e-05, 1.7333e-04, 1.2445e-04], ..., [ 4.9323e-05, 1.1381e-06, 1.3504e-03, ..., 4.6700e-05, 8.2779e-04, 5.8460e-04], [ 2.3603e-05, 2.1886e-06, -3.0289e-03, ..., 4.6343e-05, -3.2539e-03, -1.5841e-03], [ 1.6856e-04, 4.7102e-07, 9.6560e-04, ..., 1.4269e-04, 1.3037e-03, 4.6396e-04]], device='cuda:0') Epoch 24, bias, value: tensor([-0.0295, -0.0260, 0.0149, 0.0291, -0.0292, 0.0074, -0.0126, 0.0084, 0.0176, 0.0025], device='cuda:0'), grad: tensor([ 0.0005, 0.0009, 0.0001, 0.0007, -0.0005, 0.0011, 0.0003, 0.0055, -0.0135, 0.0048], device='cuda:0') 100 0.0001 changing lr epoch 23, time 214.82, cls_loss 0.0275 cls_loss_mapping 0.0576 cls_loss_causal 0.8671 re_mapping 0.0223 re_causal 0.0675 /// teacc 98.62 lr 0.00010000 Epoch 25, weight, value: tensor([[ 0.0011, 0.0200, -0.0444, ..., -0.0387, -0.0260, 0.0386], [ 0.0114, -0.0088, 0.0028, ..., 0.0668, -0.0245, -0.0133], [-0.0049, -0.0275, 0.0624, ..., -0.0405, -0.0618, -0.0304], ..., [ 0.0010, -0.0349, -0.0152, ..., 0.0177, 0.0309, 0.0043], [-0.0320, -0.0312, 0.0100, ..., -0.0419, 0.0256, -0.0440], [-0.0591, -0.0265, -0.0442, ..., -0.0450, 0.0307, 0.0173]], device='cuda:0'), grad: tensor([[ 1.6645e-05, 2.8580e-08, 1.7691e-04, ..., 5.0604e-05, 1.0574e-04, 9.4995e-08], [ 2.3171e-05, 4.6450e-08, 9.7215e-05, ..., 2.3117e-03, 2.0657e-03, 2.3937e-03], [ 4.6015e-05, 7.0257e-08, -1.0147e-03, ..., 7.5996e-05, 8.3566e-05, 4.8667e-05], ..., [ 2.4259e-05, 8.6671e-08, 4.5466e-04, ..., 6.5470e-04, -3.6359e-05, 6.3372e-04], [ 1.2487e-05, 1.2713e-07, 4.9174e-05, ..., 3.9005e-04, 3.5715e-04, 4.0722e-04], [ 6.4410e-06, 1.8219e-07, 4.4376e-05, ..., -3.7727e-03, -3.0651e-03, -3.9330e-03]], device='cuda:0') Epoch 25, bias, value: tensor([-0.0294, -0.0260, 0.0149, 0.0292, -0.0291, 0.0073, -0.0127, 0.0085, 0.0178, 0.0022], device='cuda:0'), grad: tensor([ 0.0004, 0.0079, -0.0007, 0.0007, 0.0006, 0.0006, -0.0003, 0.0019, 0.0013, -0.0123], device='cuda:0') 100 0.0001 changing lr epoch 24, time 214.53, cls_loss 0.0252 cls_loss_mapping 0.0548 cls_loss_causal 0.8652 re_mapping 0.0218 re_causal 0.0684 /// teacc 98.56 lr 0.00010000 Epoch 26, weight, value: tensor([[ 0.0007, 0.0200, -0.0445, ..., -0.0391, -0.0264, 0.0389], [ 0.0105, -0.0088, 0.0020, ..., 0.0675, -0.0252, -0.0139], [-0.0048, -0.0275, 0.0638, ..., -0.0412, -0.0625, -0.0309], ..., [ 0.0002, -0.0351, -0.0143, ..., 0.0178, 0.0315, 0.0040], [-0.0319, -0.0317, 0.0102, ..., -0.0422, 0.0257, -0.0446], [-0.0598, -0.0265, -0.0469, ..., -0.0458, 0.0305, 0.0182]], device='cuda:0'), grad: tensor([[ 9.4622e-06, 1.3243e-06, 1.0405e-03, ..., -7.5102e-05, 8.0168e-05, -6.8128e-05], [ 6.4075e-05, -6.1810e-05, -5.5075e-04, ..., -2.7227e-04, 1.3709e-04, 4.1068e-05], [ 7.8917e-05, 3.4839e-05, -4.0894e-03, ..., 4.6921e-04, 1.8024e-04, -1.3227e-03], ..., [ 4.8019e-06, 8.6129e-06, 1.6010e-04, ..., 5.0396e-05, -3.7003e-04, 2.3806e-04], [ 4.9084e-05, 2.6412e-06, 2.1286e-03, ..., 1.6069e-04, 3.8624e-04, 9.8228e-04], [ 6.9976e-05, 1.2498e-06, 1.8620e-04, ..., 1.0037e-04, -1.1522e-04, -4.5395e-04]], device='cuda:0') Epoch 26, bias, value: tensor([-0.0296, -0.0264, 0.0151, 0.0292, -0.0290, 0.0068, -0.0125, 0.0091, 0.0180, 0.0020], device='cuda:0'), grad: tensor([ 0.0021, -0.0079, -0.0042, 0.0030, 0.0004, 0.0006, -0.0005, 0.0009, 0.0054, 0.0003], device='cuda:0') 100 0.0001 changing lr epoch 25, time 214.72, cls_loss 0.0244 cls_loss_mapping 0.0504 cls_loss_causal 0.8138 re_mapping 0.0216 re_causal 0.0655 /// teacc 98.60 lr 0.00010000 Epoch 27, weight, value: tensor([[ 0.0007, 0.0200, -0.0438, ..., -0.0388, -0.0268, 0.0391], [ 0.0101, -0.0085, 0.0004, ..., 0.0680, -0.0259, -0.0142], [-0.0048, -0.0277, 0.0663, ..., -0.0421, -0.0631, -0.0311], ..., [ 0.0002, -0.0349, -0.0149, ..., 0.0182, 0.0321, 0.0037], [-0.0321, -0.0322, 0.0094, ..., -0.0430, 0.0254, -0.0452], [-0.0609, -0.0267, -0.0469, ..., -0.0467, 0.0305, 0.0190]], device='cuda:0'), grad: tensor([[ 2.1785e-05, 0.0000e+00, -7.0214e-05, ..., -5.6326e-06, 8.1301e-05, -1.9932e-04], [ 1.1331e-04, 0.0000e+00, 2.1863e-04, ..., 9.8169e-05, 1.0407e-04, 3.8177e-05], [ 2.4423e-05, 0.0000e+00, -7.8583e-04, ..., 2.8372e-05, 2.4283e-04, 7.9334e-05], ..., [ 6.1512e-05, 0.0000e+00, 3.1447e-04, ..., 5.3376e-05, -7.7105e-04, 1.4722e-04], [ 2.8715e-05, 0.0000e+00, 7.7307e-05, ..., 3.9935e-05, 7.0930e-05, -3.0327e-04], [-4.0233e-05, 0.0000e+00, 3.1531e-05, ..., -7.2241e-05, 6.5804e-04, -6.8665e-04]], device='cuda:0') Epoch 27, bias, value: tensor([-0.0297, -0.0265, 0.0152, 0.0289, -0.0292, 0.0070, -0.0125, 0.0092, 0.0180, 0.0022], device='cuda:0'), grad: tensor([-3.3319e-05, 6.3133e-04, 3.1042e-04, -6.7062e-03, 1.0900e-03, 7.5626e-04, 9.0933e-04, -3.0637e-04, 2.6569e-03, 6.9523e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 26---------------------------------------------------- epoch 26, time 230.31, cls_loss 0.0193 cls_loss_mapping 0.0413 cls_loss_causal 0.8155 re_mapping 0.0201 re_causal 0.0634 /// teacc 98.79 lr 0.00010000 Epoch 28, weight, value: tensor([[ 0.0003, 0.0199, -0.0435, ..., -0.0393, -0.0272, 0.0396], [ 0.0092, -0.0080, 0.0003, ..., 0.0687, -0.0265, -0.0145], [-0.0047, -0.0277, 0.0680, ..., -0.0428, -0.0637, -0.0314], ..., [-0.0001, -0.0353, -0.0155, ..., 0.0177, 0.0326, 0.0032], [-0.0324, -0.0324, 0.0091, ..., -0.0438, 0.0255, -0.0458], [-0.0616, -0.0268, -0.0476, ..., -0.0474, 0.0303, 0.0198]], device='cuda:0'), grad: tensor([[ 5.8919e-05, 0.0000e+00, -4.7594e-05, ..., 7.1406e-05, 7.5340e-05, -1.7905e-04], [ 1.5903e-04, 0.0000e+00, 2.5347e-05, ..., -4.8488e-05, 9.4175e-05, 1.1720e-05], [ 1.2076e-04, 0.0000e+00, -5.6190e-03, ..., 9.5785e-05, -1.5516e-03, 4.6462e-05], ..., [ 4.7892e-05, 0.0000e+00, 5.3787e-03, ..., 4.5240e-05, 1.4391e-03, 1.0741e-04], [-1.1482e-03, 0.0000e+00, 6.4373e-05, ..., -4.8518e-04, -2.4581e-04, 2.3639e-04], [ 1.4365e-04, 0.0000e+00, 6.3181e-05, ..., 6.1929e-05, 1.8269e-05, -1.9443e-04]], device='cuda:0') Epoch 28, bias, value: tensor([-0.0295, -0.0265, 0.0154, 0.0288, -0.0290, 0.0068, -0.0125, 0.0089, 0.0182, 0.0021], device='cuda:0'), grad: tensor([ 2.0280e-05, 2.1732e-04, -4.3449e-03, 6.4278e-04, 2.9325e-04, -9.7990e-05, 7.3910e-04, 4.5242e-03, -2.0294e-03, 3.2872e-05], device='cuda:0') 100 0.0001 changing lr epoch 27, time 214.55, cls_loss 0.0158 cls_loss_mapping 0.0356 cls_loss_causal 0.8069 re_mapping 0.0199 re_causal 0.0643 /// teacc 98.76 lr 0.00010000 Epoch 29, weight, value: tensor([[-0.0003, 0.0198, -0.0434, ..., -0.0396, -0.0274, 0.0400], [ 0.0088, -0.0079, -0.0009, ..., 0.0691, -0.0271, -0.0149], [-0.0051, -0.0276, 0.0694, ..., -0.0434, -0.0645, -0.0315], ..., [-0.0006, -0.0361, -0.0152, ..., 0.0177, 0.0330, 0.0029], [-0.0322, -0.0326, 0.0085, ..., -0.0442, 0.0253, -0.0465], [-0.0627, -0.0270, -0.0482, ..., -0.0477, 0.0303, 0.0203]], device='cuda:0'), grad: tensor([[ 1.7405e-05, 0.0000e+00, -2.3857e-05, ..., 1.7941e-05, 9.9719e-05, 1.6078e-05], [ 2.6539e-05, 0.0000e+00, 6.1035e-05, ..., -1.4162e-04, 3.4183e-05, 5.4628e-05], [ 1.8269e-05, 0.0000e+00, -1.1377e-03, ..., 3.3379e-05, -4.7088e-05, 4.3958e-05], ..., [ 2.1294e-05, 0.0000e+00, 5.1641e-04, ..., 3.5137e-05, 1.8616e-03, 2.5520e-03], [ 3.7074e-05, 0.0000e+00, 1.5354e-04, ..., 2.5585e-05, 9.7394e-05, 1.4758e-04], [-2.8372e-04, 0.0000e+00, -4.0233e-05, ..., -3.2783e-05, -2.3193e-03, -3.5610e-03]], device='cuda:0') Epoch 29, bias, value: tensor([-0.0295, -0.0268, 0.0151, 0.0293, -0.0290, 0.0066, -0.0127, 0.0092, 0.0182, 0.0020], device='cuda:0'), grad: tensor([ 1.0771e-04, 9.6858e-06, -1.0481e-03, 5.4741e-04, 8.3494e-04, 1.0329e-04, -6.0499e-05, 3.4904e-03, 4.3774e-04, -4.4289e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 28---------------------------------------------------- epoch 28, time 231.24, cls_loss 0.0141 cls_loss_mapping 0.0330 cls_loss_causal 0.8207 re_mapping 0.0193 re_causal 0.0625 /// teacc 98.83 lr 0.00010000 Epoch 30, weight, value: tensor([[-0.0006, 0.0199, -0.0429, ..., -0.0393, -0.0278, 0.0402], [ 0.0083, -0.0079, -0.0013, ..., 0.0698, -0.0275, -0.0147], [-0.0050, -0.0275, 0.0714, ..., -0.0439, -0.0650, -0.0316], ..., [-0.0011, -0.0362, -0.0152, ..., 0.0175, 0.0334, 0.0022], [-0.0323, -0.0326, 0.0083, ..., -0.0443, 0.0251, -0.0471], [-0.0636, -0.0270, -0.0505, ..., -0.0483, 0.0303, 0.0209]], device='cuda:0'), grad: tensor([[ 1.3821e-05, 0.0000e+00, 8.7261e-05, ..., 1.2830e-05, 4.4197e-05, -2.2836e-06], [ 8.3148e-05, 0.0000e+00, 3.9744e-04, ..., -6.4671e-05, 6.0230e-05, 3.6001e-05], [ 3.8892e-05, 0.0000e+00, -5.2834e-03, ..., 1.4722e-05, 3.2455e-05, 2.6733e-05], ..., [ 4.3958e-05, 0.0000e+00, 1.1988e-03, ..., 2.1666e-05, -1.9622e-04, -4.9314e-07], [ 1.0215e-05, 0.0000e+00, 2.2793e-03, ..., 2.1830e-05, -5.5730e-05, 3.1918e-05], [ 4.5896e-05, 0.0000e+00, 4.7493e-04, ..., 3.2336e-05, 2.1076e-03, 3.0975e-03]], device='cuda:0') Epoch 30, bias, value: tensor([-0.0295, -0.0267, 0.0152, 0.0293, -0.0291, 0.0069, -0.0128, 0.0091, 0.0183, 0.0018], device='cuda:0'), grad: tensor([ 0.0003, 0.0009, -0.0109, 0.0016, 0.0002, -0.0035, 0.0003, 0.0025, 0.0036, 0.0051], device='cuda:0') 100 0.0001 changing lr epoch 29, time 214.59, cls_loss 0.0159 cls_loss_mapping 0.0374 cls_loss_causal 0.7784 re_mapping 0.0186 re_causal 0.0582 /// teacc 98.66 lr 0.00010000 Epoch 31, weight, value: tensor([[-0.0009, 0.0199, -0.0413, ..., -0.0400, -0.0282, 0.0405], [ 0.0069, -0.0079, -0.0015, ..., 0.0704, -0.0279, -0.0151], [-0.0049, -0.0275, 0.0722, ..., -0.0443, -0.0655, -0.0322], ..., [-0.0018, -0.0363, -0.0152, ..., 0.0170, 0.0340, 0.0019], [-0.0326, -0.0327, 0.0074, ..., -0.0450, 0.0252, -0.0477], [-0.0643, -0.0270, -0.0507, ..., -0.0488, 0.0302, 0.0217]], device='cuda:0'), grad: tensor([[ 1.8072e-04, 5.2678e-08, -6.2943e-05, ..., 1.7846e-04, 3.5584e-05, -6.2943e-05], [ 3.2306e-04, 1.4540e-07, 1.0061e-04, ..., 4.3839e-05, 1.0967e-04, 6.4909e-05], [ 2.4986e-04, 1.4994e-07, -3.9744e-04, ..., 2.1970e-04, 6.0976e-05, 1.1897e-04], ..., [ 1.9324e-04, 2.8033e-07, 1.8942e-04, ..., 3.0494e-04, -3.4404e-04, 3.3349e-05], [ 1.3506e-04, 2.2002e-07, 2.9922e-05, ..., 1.5664e-04, 4.3035e-05, 1.2189e-04], [ 1.0824e-03, 8.7486e-08, 1.0496e-04, ..., 9.6703e-04, 2.5392e-04, 6.4731e-05]], device='cuda:0') Epoch 31, bias, value: tensor([-0.0293, -0.0267, 0.0151, 0.0292, -0.0291, 0.0066, -0.0127, 0.0091, 0.0184, 0.0020], device='cuda:0'), grad: tensor([ 0.0004, 0.0007, 0.0004, 0.0003, -0.0057, -0.0010, 0.0012, 0.0003, 0.0005, 0.0029], device='cuda:0') 100 0.0001 changing lr epoch 30, time 215.19, cls_loss 0.0149 cls_loss_mapping 0.0343 cls_loss_causal 0.7769 re_mapping 0.0188 re_causal 0.0583 /// teacc 98.72 lr 0.00010000 Epoch 32, weight, value: tensor([[-0.0012, 0.0204, -0.0398, ..., -0.0399, -0.0288, 0.0406], [ 0.0064, -0.0080, -0.0025, ..., 0.0706, -0.0285, -0.0154], [-0.0052, -0.0275, 0.0734, ..., -0.0454, -0.0660, -0.0325], ..., [-0.0023, -0.0363, -0.0155, ..., 0.0174, 0.0345, 0.0017], [-0.0326, -0.0331, 0.0076, ..., -0.0451, 0.0250, -0.0485], [-0.0650, -0.0271, -0.0517, ..., -0.0493, 0.0302, 0.0224]], device='cuda:0'), grad: tensor([[ 2.1305e-03, 0.0000e+00, 7.1168e-05, ..., 2.8095e-03, 2.9874e-04, 1.7996e-03], [ 3.2353e-04, 0.0000e+00, 1.2410e-04, ..., -3.1567e-04, 5.7727e-05, 6.5088e-05], [ 1.7190e-04, 0.0000e+00, -2.3198e-04, ..., 3.5715e-04, 3.4595e-04, 1.5640e-04], ..., [-6.3324e-04, 0.0000e+00, -2.1935e-03, ..., -2.0275e-03, -3.7308e-03, -1.4961e-04], [ 2.9755e-04, 0.0000e+00, 1.3685e-04, ..., 4.2748e-04, 1.7166e-04, 3.3116e-04], [ 8.0872e-04, 0.0000e+00, -3.0547e-05, ..., 1.0996e-03, 8.5735e-04, 6.9714e-04]], device='cuda:0') Epoch 32, bias, value: tensor([-0.0293, -0.0273, 0.0150, 0.0291, -0.0291, 0.0069, -0.0125, 0.0092, 0.0186, 0.0020], device='cuda:0'), grad: tensor([ 0.0056, 0.0002, 0.0005, -0.0005, 0.0098, 0.0003, -0.0115, -0.0083, 0.0012, 0.0026], device='cuda:0') 100 0.0001 changing lr epoch 31, time 214.89, cls_loss 0.0165 cls_loss_mapping 0.0359 cls_loss_causal 0.7826 re_mapping 0.0178 re_causal 0.0561 /// teacc 98.58 lr 0.00010000 Epoch 33, weight, value: tensor([[-0.0018, 0.0203, -0.0400, ..., -0.0407, -0.0293, 0.0411], [ 0.0054, -0.0080, -0.0032, ..., 0.0712, -0.0289, -0.0157], [-0.0049, -0.0273, 0.0753, ..., -0.0451, -0.0667, -0.0326], ..., [-0.0027, -0.0366, -0.0156, ..., 0.0171, 0.0348, 0.0012], [-0.0329, -0.0334, 0.0067, ..., -0.0456, 0.0249, -0.0496], [-0.0658, -0.0271, -0.0523, ..., -0.0499, 0.0300, 0.0228]], device='cuda:0'), grad: tensor([[ 5.7310e-05, 4.9211e-06, 4.7755e-04, ..., 4.3005e-05, 3.9387e-04, 8.0633e-04], [ 1.2314e-04, 2.6543e-06, 1.3602e-04, ..., 6.6519e-05, 1.7011e-04, 9.9778e-05], [ 1.5402e-04, -2.2936e-04, -2.4354e-04, ..., 1.5271e-04, 2.7466e-04, 3.9077e-04], ..., [ 1.6937e-03, 8.3372e-06, 5.1975e-04, ..., 9.8896e-04, 3.0017e-04, 4.2176e-04], [ 6.1929e-05, 1.9419e-04, 7.7438e-04, ..., -1.5819e-04, -1.0830e-04, 2.7871e-04], [ 4.0030e-04, 2.0477e-07, 1.9884e-04, ..., 2.4939e-04, 3.4523e-04, -6.5565e-04]], device='cuda:0') Epoch 33, bias, value: tensor([-0.0296, -0.0275, 0.0155, 0.0295, -0.0291, 0.0070, -0.0125, 0.0091, 0.0181, 0.0019], device='cuda:0'), grad: tensor([ 0.0015, 0.0008, 0.0006, 0.0029, -0.0044, -0.0056, 0.0005, 0.0034, -0.0006, 0.0008], device='cuda:0') 100 0.0001 changing lr epoch 32, time 214.85, cls_loss 0.0144 cls_loss_mapping 0.0344 cls_loss_causal 0.7362 re_mapping 0.0173 re_causal 0.0536 /// teacc 98.83 lr 0.00010000 Epoch 34, weight, value: tensor([[-0.0022, 0.0201, -0.0400, ..., -0.0408, -0.0295, 0.0412], [ 0.0048, -0.0081, -0.0044, ..., 0.0718, -0.0291, -0.0168], [-0.0053, -0.0270, 0.0766, ..., -0.0455, -0.0672, -0.0329], ..., [-0.0032, -0.0366, -0.0161, ..., 0.0166, 0.0355, 0.0009], [-0.0329, -0.0337, 0.0070, ..., -0.0460, 0.0248, -0.0503], [-0.0665, -0.0272, -0.0522, ..., -0.0503, 0.0298, 0.0237]], device='cuda:0'), grad: tensor([[ 1.4737e-05, 0.0000e+00, -7.9632e-05, ..., 4.6402e-05, 2.4676e-05, -1.0186e-04], [ 3.5644e-05, 0.0000e+00, 6.7949e-06, ..., 1.6451e-04, 1.8966e-04, 5.8889e-04], [ 1.4707e-05, 0.0000e+00, 2.3559e-05, ..., 2.8297e-05, 7.3195e-05, 6.5506e-05], ..., [ 2.9489e-05, 0.0000e+00, -2.4512e-05, ..., 9.9182e-05, -9.3579e-05, 2.0349e-04], [ 1.8820e-05, 0.0000e+00, 1.3690e-06, ..., 1.4889e-04, 9.9301e-05, 2.7132e-04], [ 1.0306e-04, 0.0000e+00, 2.8670e-05, ..., -5.2166e-04, -2.7061e-04, -1.3466e-03]], device='cuda:0') Epoch 34, bias, value: tensor([-0.0300, -0.0277, 0.0153, 0.0297, -0.0291, 0.0073, -0.0128, 0.0091, 0.0184, 0.0021], device='cuda:0'), grad: tensor([-1.5974e-05, 1.1120e-03, 2.5940e-04, -7.8773e-04, 3.1185e-04, 8.2874e-04, -1.1230e-04, 2.4152e-04, 5.3120e-04, -2.3670e-03], device='cuda:0') 100 0.0001 changing lr epoch 33, time 214.69, cls_loss 0.0119 cls_loss_mapping 0.0304 cls_loss_causal 0.7257 re_mapping 0.0165 re_causal 0.0524 /// teacc 98.79 lr 0.00010000 Epoch 35, weight, value: tensor([[-0.0028, 0.0200, -0.0395, ..., -0.0412, -0.0298, 0.0415], [ 0.0044, -0.0082, -0.0052, ..., 0.0722, -0.0293, -0.0172], [-0.0055, -0.0270, 0.0780, ..., -0.0460, -0.0675, -0.0333], ..., [-0.0038, -0.0365, -0.0164, ..., 0.0168, 0.0359, 0.0005], [-0.0334, -0.0337, 0.0064, ..., -0.0462, 0.0243, -0.0512], [-0.0671, -0.0273, -0.0527, ..., -0.0508, 0.0297, 0.0243]], device='cuda:0'), grad: tensor([[ 7.1600e-06, 1.1525e-08, -1.1406e-03, ..., -1.2264e-05, -8.0764e-05, -4.8304e-04], [ 1.0237e-05, 4.1793e-08, 2.0623e-05, ..., -9.2313e-06, 3.4451e-05, 4.2289e-05], [ 6.7689e-06, 8.9232e-08, 9.1410e-04, ..., 1.6317e-05, 1.3769e-04, 4.2582e-04], ..., [ 1.6719e-05, 3.1549e-08, -5.1260e-06, ..., 2.5690e-05, -1.5855e-04, 9.9421e-05], [ 2.0042e-05, 6.5775e-08, -6.1356e-06, ..., 5.2243e-05, -1.0383e-04, 1.8966e-04], [ 2.5868e-05, 1.3923e-07, 9.9957e-05, ..., -4.1783e-05, 5.5820e-05, -3.7432e-04]], device='cuda:0') Epoch 35, bias, value: tensor([-0.0301, -0.0278, 0.0153, 0.0294, -0.0288, 0.0072, -0.0123, 0.0092, 0.0183, 0.0019], device='cuda:0'), grad: tensor([-1.1959e-03, 9.3460e-05, 1.0500e-03, -9.7942e-04, 4.2748e-04, 8.5402e-04, -2.8563e-04, 4.3184e-05, 2.5615e-05, -3.2008e-05], device='cuda:0') 100 0.0001 changing lr epoch 34, time 214.74, cls_loss 0.0168 cls_loss_mapping 0.0401 cls_loss_causal 0.7513 re_mapping 0.0155 re_causal 0.0509 /// teacc 98.68 lr 0.00010000 Epoch 36, weight, value: tensor([[-3.1189e-03, 2.0274e-02, -3.8550e-02, ..., -4.1353e-02, -2.9999e-02, 4.1864e-02], [ 4.1261e-03, -8.0893e-03, -6.1065e-03, ..., 7.2704e-02, -2.9789e-02, -1.7147e-02], [-5.7507e-03, -2.6828e-02, 7.9174e-02, ..., -4.6470e-02, -6.7990e-02, -3.4014e-02], ..., [-4.0540e-03, -3.7017e-02, -1.6908e-02, ..., 1.6857e-02, 3.6527e-02, -1.8020e-05], [-3.3640e-02, -3.3073e-02, 5.8164e-03, ..., -4.6488e-02, 2.4486e-02, -5.1553e-02], [-6.8085e-02, -2.7266e-02, -5.3921e-02, ..., -5.1335e-02, 2.9475e-02, 2.5001e-02]], device='cuda:0'), grad: tensor([[ 1.0870e-05, 2.3007e-05, 1.8482e-03, ..., 1.4007e-04, 3.9637e-05, 5.0783e-04], [ 1.5117e-05, 1.7490e-03, 5.6458e-03, ..., 1.9445e-03, 7.1108e-05, 3.1680e-05], [ 1.1235e-05, -2.1782e-03, -6.5880e-03, ..., -2.8515e-03, 2.4259e-05, 1.4913e-04], ..., [ 2.0027e-05, 1.7583e-04, 5.5885e-04, ..., 2.9707e-04, -2.2459e-04, 3.7700e-05], [ 8.1182e-05, 2.1487e-05, -4.6806e-03, ..., 1.9360e-04, 7.8440e-05, -1.0920e-03], [-5.0843e-05, 1.2100e-05, 2.5511e-04, ..., 5.9783e-05, 4.9472e-05, -4.8184e-04]], device='cuda:0') Epoch 36, bias, value: tensor([-0.0301, -0.0277, 0.0151, 0.0292, -0.0288, 0.0073, -0.0122, 0.0092, 0.0185, 0.0017], device='cuda:0'), grad: tensor([ 0.0054, 0.0108, -0.0125, 0.0036, 0.0004, 0.0010, 0.0032, 0.0010, -0.0121, -0.0009], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 35---------------------------------------------------- epoch 35, time 230.88, cls_loss 0.0119 cls_loss_mapping 0.0323 cls_loss_causal 0.7519 re_mapping 0.0153 re_causal 0.0503 /// teacc 98.86 lr 0.00010000 Epoch 37, weight, value: tensor([[-0.0035, 0.0205, -0.0380, ..., -0.0415, -0.0302, 0.0422], [ 0.0037, -0.0085, -0.0077, ..., 0.0732, -0.0302, -0.0175], [-0.0061, -0.0265, 0.0805, ..., -0.0467, -0.0685, -0.0343], ..., [-0.0046, -0.0370, -0.0164, ..., 0.0166, 0.0369, -0.0006], [-0.0342, -0.0335, 0.0055, ..., -0.0468, 0.0246, -0.0521], [-0.0691, -0.0273, -0.0554, ..., -0.0523, 0.0296, 0.0259]], device='cuda:0'), grad: tensor([[ 2.2650e-05, 0.0000e+00, 9.6858e-06, ..., 5.9307e-05, 1.0274e-05, -2.3052e-05], [ 2.9176e-05, 0.0000e+00, -1.1265e-04, ..., -3.2520e-03, 6.7018e-06, 1.7956e-05], [ 5.9247e-05, 0.0000e+00, -1.7726e-04, ..., 2.1267e-03, 5.9642e-06, -5.2243e-05], ..., [ 1.1063e-04, 0.0000e+00, 4.7594e-05, ..., 5.0545e-04, 3.0845e-05, 2.4557e-04], [ 3.7044e-05, 0.0000e+00, 6.1274e-05, ..., 2.4939e-04, 5.7459e-05, 4.2737e-05], [ 1.4532e-04, 0.0000e+00, 2.7984e-05, ..., 7.2479e-05, 4.5568e-05, -8.3017e-04]], device='cuda:0') Epoch 37, bias, value: tensor([-0.0302, -0.0280, 0.0151, 0.0294, -0.0283, 0.0070, -0.0124, 0.0094, 0.0188, 0.0016], device='cuda:0'), grad: tensor([ 5.9873e-05, -3.5458e-03, 2.1439e-03, 2.8157e-04, 5.5933e-04, 7.0095e-05, -1.2112e-04, 1.0300e-03, 4.2462e-04, -9.0408e-04], device='cuda:0') 100 0.0001 changing lr epoch 36, time 214.27, cls_loss 0.0120 cls_loss_mapping 0.0308 cls_loss_causal 0.7554 re_mapping 0.0157 re_causal 0.0514 /// teacc 98.79 lr 0.00010000 Epoch 38, weight, value: tensor([[-0.0039, 0.0205, -0.0375, ..., -0.0416, -0.0305, 0.0423], [ 0.0037, -0.0085, -0.0094, ..., 0.0740, -0.0306, -0.0180], [-0.0064, -0.0265, 0.0817, ..., -0.0469, -0.0691, -0.0346], ..., [-0.0052, -0.0369, -0.0157, ..., 0.0165, 0.0375, -0.0008], [-0.0346, -0.0336, 0.0047, ..., -0.0476, 0.0244, -0.0527], [-0.0697, -0.0275, -0.0551, ..., -0.0531, 0.0296, 0.0267]], device='cuda:0'), grad: tensor([[ 9.7454e-06, 0.0000e+00, 2.3674e-06, ..., -3.2258e-04, 4.0196e-06, -6.7759e-04], [ 6.3360e-05, 0.0000e+00, -2.4517e-07, ..., -5.8055e-05, 8.1584e-06, 8.3745e-06], [ 2.0576e-04, 0.0000e+00, -7.4208e-05, ..., 1.5318e-04, 8.0466e-06, 1.5229e-05], ..., [ 7.3969e-05, 0.0000e+00, 1.3061e-05, ..., 9.0361e-05, -2.4274e-05, 4.1842e-05], [ 2.0504e-05, 0.0000e+00, 1.8865e-05, ..., 4.2737e-05, 5.0366e-06, -3.6478e-05], [ 5.4330e-05, 0.0000e+00, 7.2941e-06, ..., 6.4433e-05, -1.9953e-05, 2.8864e-05]], device='cuda:0') Epoch 38, bias, value: tensor([-0.0304, -0.0281, 0.0150, 0.0290, -0.0283, 0.0074, -0.0126, 0.0096, 0.0187, 0.0018], device='cuda:0'), grad: tensor([-6.7139e-04, -5.0336e-05, 2.0242e-04, -1.0681e-04, -4.1199e-04, 1.7679e-04, 5.5695e-04, 1.5664e-04, -4.3821e-04, 5.8508e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 37---------------------------------------------------- epoch 37, time 230.22, cls_loss 0.0145 cls_loss_mapping 0.0326 cls_loss_causal 0.7395 re_mapping 0.0161 re_causal 0.0485 /// teacc 98.95 lr 0.00010000 Epoch 39, weight, value: tensor([[-0.0042, 0.0203, -0.0363, ..., -0.0420, -0.0309, 0.0430], [ 0.0024, -0.0085, -0.0102, ..., 0.0745, -0.0307, -0.0184], [-0.0062, -0.0265, 0.0828, ..., -0.0476, -0.0700, -0.0348], ..., [-0.0055, -0.0375, -0.0149, ..., 0.0168, 0.0379, -0.0016], [-0.0348, -0.0340, 0.0036, ..., -0.0483, 0.0244, -0.0530], [-0.0712, -0.0277, -0.0563, ..., -0.0536, 0.0294, 0.0271]], device='cuda:0'), grad: tensor([[ 2.3592e-04, 4.3539e-08, -9.5665e-06, ..., 2.1327e-04, 2.5317e-05, 4.8816e-05], [ 4.5490e-04, 1.6554e-07, 6.3598e-05, ..., 3.2163e-04, 1.6212e-05, -3.2723e-05], [ 2.8634e-04, 4.0280e-08, 3.2842e-05, ..., 3.1114e-04, 1.3731e-05, 2.6897e-05], ..., [ 1.6105e-04, 2.1758e-07, -5.2750e-05, ..., 6.8963e-05, -9.7811e-05, 2.5010e-04], [ 1.8024e-04, 4.8545e-08, 2.3901e-05, ..., 1.8990e-04, 1.7986e-05, 9.9778e-05], [ 4.8351e-04, 2.5909e-06, 1.8343e-05, ..., 1.2517e-04, 1.4293e-04, -7.1096e-04]], device='cuda:0') Epoch 39, bias, value: tensor([-0.0301, -0.0283, 0.0151, 0.0292, -0.0282, 0.0073, -0.0122, 0.0097, 0.0187, 0.0013], device='cuda:0'), grad: tensor([ 0.0004, 0.0007, 0.0006, 0.0002, 0.0006, 0.0002, -0.0034, 0.0004, 0.0005, -0.0001], device='cuda:0') 100 0.0001 changing lr epoch 38, time 214.64, cls_loss 0.0111 cls_loss_mapping 0.0279 cls_loss_causal 0.7313 re_mapping 0.0151 re_causal 0.0481 /// teacc 98.69 lr 0.00010000 Epoch 40, weight, value: tensor([[-0.0044, 0.0202, -0.0360, ..., -0.0420, -0.0310, 0.0430], [ 0.0015, -0.0087, -0.0105, ..., 0.0752, -0.0312, -0.0187], [-0.0057, -0.0260, 0.0843, ..., -0.0483, -0.0703, -0.0352], ..., [-0.0061, -0.0378, -0.0152, ..., 0.0165, 0.0386, -0.0021], [-0.0349, -0.0343, 0.0029, ..., -0.0487, 0.0244, -0.0538], [-0.0717, -0.0278, -0.0561, ..., -0.0537, 0.0292, 0.0283]], device='cuda:0'), grad: tensor([[ 3.6091e-05, 1.3283e-07, -5.2035e-05, ..., 1.4514e-05, 2.1026e-05, -6.3658e-05], [ 5.9932e-05, 3.5297e-07, 1.7211e-05, ..., 8.6650e-06, 6.3956e-05, 1.8597e-05], [ 4.0555e-04, 3.3155e-07, -4.4793e-05, ..., 1.0115e-04, 9.4175e-05, 2.9996e-05], ..., [ 1.4639e-04, 1.1306e-06, -7.7069e-05, ..., 4.4584e-05, -4.7040e-04, 7.6234e-05], [ 6.5207e-05, 4.0000e-07, 2.0698e-05, ..., 2.6822e-05, 8.7261e-05, 7.0870e-05], [ 5.8115e-05, 6.6450e-07, 2.2039e-05, ..., 2.0579e-05, 5.0449e-04, 1.9789e-04]], device='cuda:0') Epoch 40, bias, value: tensor([-0.0302, -0.0284, 0.0153, 0.0291, -0.0285, 0.0069, -0.0123, 0.0096, 0.0184, 0.0021], device='cuda:0'), grad: tensor([-4.7445e-05, 2.0039e-04, 6.5327e-04, 7.0810e-04, -1.2007e-03, -8.1825e-04, 1.5187e-04, -4.7898e-04, 1.4961e-04, 6.8140e-04], device='cuda:0') 100 0.0001 changing lr epoch 39, time 214.35, cls_loss 0.0118 cls_loss_mapping 0.0314 cls_loss_causal 0.7194 re_mapping 0.0149 re_causal 0.0470 /// teacc 98.88 lr 0.00010000 Epoch 41, weight, value: tensor([[-0.0053, 0.0203, -0.0354, ..., -0.0425, -0.0313, 0.0432], [ 0.0013, -0.0087, -0.0105, ..., 0.0767, -0.0316, -0.0191], [-0.0060, -0.0259, 0.0853, ..., -0.0494, -0.0706, -0.0356], ..., [-0.0071, -0.0380, -0.0150, ..., 0.0157, 0.0394, -0.0023], [-0.0352, -0.0349, 0.0023, ..., -0.0494, 0.0242, -0.0539], [-0.0724, -0.0287, -0.0570, ..., -0.0539, 0.0290, 0.0286]], device='cuda:0'), grad: tensor([[ 4.5806e-05, 3.1125e-06, -1.2115e-05, ..., 2.7522e-05, 1.4819e-05, 3.8266e-05], [ 3.5256e-05, 9.3505e-06, 4.7654e-05, ..., -8.9407e-05, 2.3946e-05, 2.5764e-05], [ 1.4770e-04, 2.1204e-05, 5.9575e-05, ..., 3.6895e-05, 4.8131e-05, 2.3022e-05], ..., [ 1.2481e-04, 3.9816e-05, 9.0659e-05, ..., 1.0383e-04, 6.0588e-05, 1.4745e-05], [-2.1374e-04, 3.0160e-05, 3.9935e-05, ..., 6.7472e-05, 2.5010e-04, -4.3654e-04], [ 2.2340e-04, 3.5673e-05, 4.7863e-05, ..., 1.1694e-04, 1.3791e-05, 2.2709e-04]], device='cuda:0') Epoch 41, bias, value: tensor([-0.0305, -0.0278, 0.0149, 0.0293, -0.0283, 0.0068, -0.0123, 0.0096, 0.0185, 0.0018], device='cuda:0'), grad: tensor([ 2.6584e-04, 7.1943e-05, 3.6883e-04, 1.2684e-04, -6.7091e-04, 3.9368e-03, -3.6793e-03, 5.2929e-04, -1.9474e-03, 9.9850e-04], device='cuda:0') 100 0.0001 changing lr epoch 40, time 214.43, cls_loss 0.0106 cls_loss_mapping 0.0263 cls_loss_causal 0.7191 re_mapping 0.0142 re_causal 0.0464 /// teacc 98.92 lr 0.00010000 Epoch 42, weight, value: tensor([[-0.0058, 0.0201, -0.0348, ..., -0.0427, -0.0314, 0.0435], [ 0.0009, -0.0088, -0.0119, ..., 0.0770, -0.0320, -0.0190], [-0.0063, -0.0255, 0.0869, ..., -0.0496, -0.0710, -0.0357], ..., [-0.0077, -0.0383, -0.0147, ..., 0.0161, 0.0398, -0.0026], [-0.0357, -0.0362, 0.0022, ..., -0.0501, 0.0238, -0.0542], [-0.0728, -0.0286, -0.0588, ..., -0.0545, 0.0289, 0.0288]], device='cuda:0'), grad: tensor([[ 5.5172e-06, 1.0524e-06, -3.1739e-05, ..., -2.7031e-05, 7.0892e-06, -5.7340e-05], [ 1.2368e-05, 1.2722e-06, 1.1474e-05, ..., -3.3192e-06, 1.2890e-05, 2.1487e-05], [ 3.0492e-06, 1.2733e-05, 1.4845e-06, ..., 7.2606e-06, 1.9252e-05, 2.7716e-05], ..., [ 2.8443e-06, 5.7332e-06, 1.5192e-05, ..., 1.0900e-05, 7.5847e-06, 2.4796e-05], [ 3.5651e-06, 4.9993e-06, 1.5318e-05, ..., 8.5160e-06, 9.2909e-06, 1.6242e-05], [ 1.2219e-04, 4.1793e-07, 1.1973e-05, ..., 7.8142e-05, 2.6673e-05, 4.9829e-05]], device='cuda:0') Epoch 42, bias, value: tensor([-0.0305, -0.0279, 0.0150, 0.0293, -0.0283, 0.0070, -0.0121, 0.0101, 0.0184, 0.0014], device='cuda:0'), grad: tensor([-6.8545e-05, 4.0650e-05, 9.4831e-05, -1.8060e-04, -1.6820e-04, -1.0055e-04, 4.1217e-05, 6.8426e-05, 6.1989e-05, 2.1029e-04], device='cuda:0') 100 0.0001 changing lr epoch 41, time 214.39, cls_loss 0.0084 cls_loss_mapping 0.0233 cls_loss_causal 0.7036 re_mapping 0.0140 re_causal 0.0463 /// teacc 98.72 lr 0.00010000 Epoch 43, weight, value: tensor([[-0.0059, 0.0201, -0.0339, ..., -0.0428, -0.0316, 0.0438], [ 0.0005, -0.0088, -0.0129, ..., 0.0773, -0.0326, -0.0191], [-0.0063, -0.0250, 0.0883, ..., -0.0492, -0.0712, -0.0359], ..., [-0.0084, -0.0390, -0.0148, ..., 0.0159, 0.0400, -0.0029], [-0.0359, -0.0368, 0.0022, ..., -0.0506, 0.0239, -0.0547], [-0.0734, -0.0286, -0.0601, ..., -0.0550, 0.0287, 0.0292]], device='cuda:0'), grad: tensor([[ 2.8498e-06, 0.0000e+00, -5.1707e-06, ..., 2.7388e-05, 4.3333e-05, 6.7115e-05], [ 4.1127e-06, 0.0000e+00, -1.3793e-04, ..., -2.9850e-03, 1.8388e-05, 1.3702e-05], [ 2.4661e-06, 0.0000e+00, 1.3089e-04, ..., 1.7395e-03, 2.6554e-05, 4.0233e-05], ..., [ 7.4692e-06, 0.0000e+00, -9.0480e-05, ..., 3.7885e-04, -1.7226e-04, 6.1691e-06], [ 4.8950e-06, 0.0000e+00, 1.3769e-05, ..., 6.0022e-05, 5.9694e-05, 3.6335e-04], [-2.1827e-04, 0.0000e+00, 2.0400e-05, ..., 3.4362e-05, 5.9903e-05, -7.4673e-04]], device='cuda:0') Epoch 43, bias, value: tensor([-0.0304, -0.0280, 0.0154, 0.0292, -0.0284, 0.0071, -0.0122, 0.0097, 0.0186, 0.0014], device='cuda:0'), grad: tensor([ 0.0002, -0.0081, 0.0050, 0.0042, 0.0013, -0.0030, 0.0002, 0.0009, 0.0006, -0.0014], device='cuda:0') 100 0.0001 changing lr epoch 42, time 214.27, cls_loss 0.0117 cls_loss_mapping 0.0308 cls_loss_causal 0.7577 re_mapping 0.0139 re_causal 0.0460 /// teacc 98.78 lr 0.00010000 Epoch 44, weight, value: tensor([[-0.0062, 0.0200, -0.0327, ..., -0.0436, -0.0318, 0.0438], [ 0.0002, -0.0089, -0.0145, ..., 0.0778, -0.0327, -0.0191], [-0.0065, -0.0251, 0.0908, ..., -0.0502, -0.0716, -0.0352], ..., [-0.0088, -0.0391, -0.0145, ..., 0.0164, 0.0404, -0.0035], [-0.0359, -0.0373, 0.0014, ..., -0.0508, 0.0236, -0.0552], [-0.0743, -0.0287, -0.0616, ..., -0.0558, 0.0286, 0.0296]], device='cuda:0'), grad: tensor([[ 5.8055e-05, 0.0000e+00, -1.4031e-04, ..., 2.1905e-05, 4.7654e-05, -4.1556e-04], [ 1.8156e-04, 0.0000e+00, 3.2455e-05, ..., 5.8126e-04, 2.5797e-04, 1.1750e-05], [ 1.9634e-04, 0.0000e+00, -6.2101e-06, ..., 2.4962e-04, 1.4091e-04, 2.1294e-05], ..., [-1.1730e-04, 0.0000e+00, -6.4135e-04, ..., -1.7822e-04, -1.7204e-03, 1.5423e-05], [ 1.1623e-04, 0.0000e+00, 2.0847e-05, ..., 1.4853e-04, -3.5822e-05, 5.0515e-05], [ 1.0294e-04, 0.0000e+00, 4.4495e-05, ..., 1.0484e-04, 1.2648e-04, -1.4707e-05]], device='cuda:0') Epoch 44, bias, value: tensor([-0.0307, -0.0283, 0.0158, 0.0294, -0.0283, 0.0073, -0.0120, 0.0100, 0.0183, 0.0008], device='cuda:0'), grad: tensor([-0.0004, 0.0011, 0.0007, 0.0003, -0.0056, 0.0004, 0.0062, -0.0029, -0.0004, 0.0004], device='cuda:0') 100 0.0001 changing lr epoch 43, time 214.60, cls_loss 0.0095 cls_loss_mapping 0.0265 cls_loss_causal 0.7041 re_mapping 0.0136 re_causal 0.0429 /// teacc 98.85 lr 0.00010000 Epoch 45, weight, value: tensor([[-0.0064, 0.0200, -0.0314, ..., -0.0436, -0.0321, 0.0442], [-0.0005, -0.0089, -0.0152, ..., 0.0783, -0.0331, -0.0193], [-0.0065, -0.0251, 0.0915, ..., -0.0507, -0.0721, -0.0356], ..., [-0.0092, -0.0407, -0.0149, ..., 0.0167, 0.0405, -0.0043], [-0.0360, -0.0375, 0.0015, ..., -0.0512, 0.0235, -0.0555], [-0.0750, -0.0286, -0.0613, ..., -0.0562, 0.0286, 0.0308]], device='cuda:0'), grad: tensor([[ 1.4424e-05, 0.0000e+00, -2.5153e-05, ..., 1.2644e-05, 3.7670e-05, 2.6315e-05], [ 1.6809e-05, 0.0000e+00, 6.4746e-06, ..., -4.8846e-05, 9.5487e-05, 1.0175e-04], [ 8.4713e-06, 0.0000e+00, -3.3021e-05, ..., 2.1771e-05, 1.0842e-04, 1.0347e-04], ..., [ 1.5222e-05, 0.0000e+00, 6.4783e-06, ..., -1.2545e-06, 1.4618e-05, 2.0742e-04], [ 1.0937e-05, 0.0000e+00, 1.2614e-05, ..., 1.1563e-05, 6.5446e-05, 1.0121e-04], [-5.0306e-04, 0.0000e+00, 1.0423e-05, ..., -1.8048e-04, 8.9407e-05, -1.5888e-03]], device='cuda:0') Epoch 45, bias, value: tensor([-0.0305, -0.0286, 0.0155, 0.0295, -0.0283, 0.0073, -0.0123, 0.0095, 0.0186, 0.0015], device='cuda:0'), grad: tensor([ 8.1599e-05, 2.7990e-04, 3.4928e-04, -1.1492e-03, 2.7161e-03, -2.8872e-04, 3.0011e-05, 4.6134e-04, 1.7488e-04, -2.6550e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 44---------------------------------------------------- epoch 44, time 230.66, cls_loss 0.0082 cls_loss_mapping 0.0222 cls_loss_causal 0.7015 re_mapping 0.0133 re_causal 0.0437 /// teacc 98.97 lr 0.00010000 Epoch 46, weight, value: tensor([[-0.0071, 0.0200, -0.0312, ..., -0.0442, -0.0323, 0.0443], [-0.0013, -0.0090, -0.0158, ..., 0.0792, -0.0336, -0.0190], [-0.0063, -0.0252, 0.0933, ..., -0.0514, -0.0724, -0.0358], ..., [-0.0094, -0.0408, -0.0149, ..., 0.0164, 0.0411, -0.0046], [-0.0360, -0.0376, 0.0001, ..., -0.0506, 0.0236, -0.0559], [-0.0754, -0.0286, -0.0620, ..., -0.0568, 0.0284, 0.0316]], device='cuda:0'), grad: tensor([[-2.0247e-06, 0.0000e+00, -1.4529e-05, ..., -2.7325e-06, 1.4260e-05, -6.5565e-05], [ 1.3024e-05, 0.0000e+00, 3.1799e-05, ..., -5.7399e-05, 3.4332e-05, 1.2472e-05], [ 5.9344e-06, 0.0000e+00, 2.8014e-05, ..., 1.9640e-05, 3.3110e-05, 2.2516e-05], ..., [ 7.7784e-06, 0.0000e+00, -1.8334e-04, ..., 1.8580e-06, -1.8239e-04, -6.5982e-05], [ 6.6943e-06, 0.0000e+00, 9.5516e-06, ..., 1.4350e-05, 5.1856e-06, 1.9327e-05], [ 1.3739e-05, 0.0000e+00, 3.1769e-05, ..., 1.0841e-05, 2.9847e-05, -1.8373e-05]], device='cuda:0') Epoch 46, bias, value: tensor([-0.0308, -0.0286, 0.0158, 0.0294, -0.0287, 0.0070, -0.0125, 0.0096, 0.0193, 0.0015], device='cuda:0'), grad: tensor([-3.2067e-05, 1.9535e-05, 1.0538e-04, 1.3721e-04, -3.9525e-06, 4.4465e-05, 5.0843e-05, -4.2748e-04, 4.4048e-05, 6.1750e-05], device='cuda:0') 100 0.0001 changing lr epoch 45, time 214.58, cls_loss 0.0072 cls_loss_mapping 0.0225 cls_loss_causal 0.6976 re_mapping 0.0126 re_causal 0.0417 /// teacc 98.85 lr 0.00010000 Epoch 47, weight, value: tensor([[-0.0073, 0.0200, -0.0307, ..., -0.0441, -0.0326, 0.0449], [-0.0015, -0.0091, -0.0164, ..., 0.0801, -0.0341, -0.0199], [-0.0066, -0.0251, 0.0946, ..., -0.0522, -0.0725, -0.0363], ..., [-0.0098, -0.0405, -0.0144, ..., 0.0164, 0.0417, -0.0044], [-0.0363, -0.0379, -0.0014, ..., -0.0511, 0.0234, -0.0563], [-0.0758, -0.0291, -0.0628, ..., -0.0571, 0.0282, 0.0323]], device='cuda:0'), grad: tensor([[ 2.2367e-05, 2.1071e-08, -1.4029e-05, ..., 3.0339e-05, 1.6809e-05, 1.9938e-05], [ 5.4568e-05, 1.5285e-07, 3.1553e-06, ..., -9.4891e-05, 1.5646e-05, -8.3968e-06], [ 7.5459e-05, 9.4180e-08, 1.1444e-05, ..., 3.5673e-05, 2.4766e-05, 2.2113e-05], ..., [ 2.2793e-04, 3.9651e-07, 3.0100e-06, ..., 8.2374e-05, 4.0799e-05, 1.0349e-05], [ 4.7237e-05, 3.9581e-08, -2.4334e-05, ..., 5.4359e-05, 7.4692e-06, 3.6985e-05], [ 3.6001e-04, 3.4715e-07, 1.0639e-05, ..., 1.3232e-04, 3.8922e-05, -4.4048e-05]], device='cuda:0') Epoch 47, bias, value: tensor([-0.0307, -0.0286, 0.0159, 0.0292, -0.0289, 0.0071, -0.0127, 0.0102, 0.0188, 0.0016], device='cuda:0'), grad: tensor([ 8.0109e-05, -9.6440e-05, 1.6332e-04, 2.3055e-04, -1.1473e-03, -9.6798e-05, -1.3328e-04, 3.1233e-04, 1.0788e-04, 5.8031e-04], device='cuda:0') 100 0.0001 changing lr epoch 46, time 214.72, cls_loss 0.0075 cls_loss_mapping 0.0210 cls_loss_causal 0.7203 re_mapping 0.0127 re_causal 0.0426 /// teacc 98.88 lr 0.00010000 Epoch 48, weight, value: tensor([[-0.0074, 0.0201, -0.0304, ..., -0.0440, -0.0328, 0.0449], [-0.0021, -0.0091, -0.0168, ..., 0.0806, -0.0345, -0.0202], [-0.0070, -0.0253, 0.0957, ..., -0.0526, -0.0725, -0.0369], ..., [-0.0104, -0.0411, -0.0148, ..., 0.0162, 0.0422, -0.0050], [-0.0366, -0.0381, -0.0015, ..., -0.0515, 0.0233, -0.0568], [-0.0765, -0.0290, -0.0629, ..., -0.0574, 0.0280, 0.0333]], device='cuda:0'), grad: tensor([[ 1.7852e-05, 3.7160e-07, 5.5122e-04, ..., 1.4193e-05, 1.4524e-03, 3.9482e-03], [ 1.4573e-05, 1.5879e-07, 3.6843e-06, ..., -4.6670e-05, 2.4587e-05, 3.6955e-05], [ 1.0572e-05, 6.4168e-07, 2.4870e-05, ..., 1.9848e-05, 8.4937e-05, 1.4699e-04], ..., [ 4.3325e-06, 9.0757e-07, -3.3706e-05, ..., 8.1807e-06, -3.1620e-05, 6.6876e-05], [ 8.8438e-06, 1.2349e-06, 1.4521e-05, ..., 2.7984e-05, 6.0022e-05, 9.4831e-05], [ 7.0259e-06, 4.8196e-07, 4.6104e-05, ..., 3.5167e-06, 1.4925e-04, 3.0208e-04]], device='cuda:0') Epoch 48, bias, value: tensor([-0.0307, -0.0286, 0.0156, 0.0291, -0.0288, 0.0071, -0.0126, 0.0100, 0.0188, 0.0019], device='cuda:0'), grad: tensor([ 5.7068e-03, 2.9564e-05, 2.9635e-04, -5.5194e-05, 7.1287e-05, -7.2098e-03, 4.3035e-04, 5.6267e-05, 1.6224e-04, 5.1737e-04], device='cuda:0') 100 0.0001 changing lr epoch 47, time 214.66, cls_loss 0.0075 cls_loss_mapping 0.0207 cls_loss_causal 0.6672 re_mapping 0.0131 re_causal 0.0413 /// teacc 98.85 lr 0.00010000 Epoch 49, weight, value: tensor([[-0.0080, 0.0204, -0.0304, ..., -0.0443, -0.0332, 0.0450], [-0.0022, -0.0092, -0.0177, ..., 0.0815, -0.0348, -0.0204], [-0.0073, -0.0255, 0.0971, ..., -0.0527, -0.0729, -0.0373], ..., [-0.0109, -0.0433, -0.0144, ..., 0.0154, 0.0425, -0.0054], [-0.0367, -0.0386, -0.0028, ..., -0.0521, 0.0230, -0.0573], [-0.0773, -0.0294, -0.0637, ..., -0.0581, 0.0277, 0.0336]], device='cuda:0'), grad: tensor([[ 2.4363e-05, 1.6543e-07, -1.7323e-06, ..., 2.0280e-05, 1.0782e-04, 1.6141e-04], [ 4.0323e-05, 4.5099e-07, -5.9128e-04, ..., -1.0786e-03, 1.9938e-05, -1.3039e-05], [ 8.5056e-05, 2.3499e-05, 7.7486e-04, ..., 8.6880e-04, 1.0854e-04, 1.6141e-04], ..., [ 2.8896e-04, -3.9458e-05, -4.0221e-04, ..., 1.5962e-04, -4.4197e-05, 1.6233e-06], [-1.0468e-05, 2.6799e-07, -6.1274e-05, ..., 5.3495e-05, 2.2089e-04, 4.4131e-04], [ 8.8425e-03, 7.1106e-07, 4.5687e-05, ..., 2.4164e-04, 6.0260e-05, 3.8433e-03]], device='cuda:0') Epoch 49, bias, value: tensor([-0.0311, -0.0283, 0.0159, 0.0299, -0.0288, 0.0070, -0.0125, 0.0097, 0.0186, 0.0015], device='cuda:0'), grad: tensor([ 0.0008, -0.0019, 0.0023, 0.0008, -0.0133, -0.0037, 0.0008, 0.0003, 0.0015, 0.0125], device='cuda:0') 100 0.0001 changing lr epoch 48, time 214.72, cls_loss 0.0073 cls_loss_mapping 0.0199 cls_loss_causal 0.6514 re_mapping 0.0125 re_causal 0.0395 /// teacc 98.83 lr 0.00010000 Epoch 50, weight, value: tensor([[-0.0084, 0.0202, -0.0296, ..., -0.0445, -0.0335, 0.0454], [-0.0023, -0.0092, -0.0182, ..., 0.0821, -0.0353, -0.0207], [-0.0074, -0.0254, 0.0982, ..., -0.0531, -0.0735, -0.0376], ..., [-0.0114, -0.0433, -0.0145, ..., 0.0153, 0.0430, -0.0056], [-0.0371, -0.0387, -0.0035, ..., -0.0526, 0.0228, -0.0579], [-0.0787, -0.0290, -0.0649, ..., -0.0583, 0.0277, 0.0341]], device='cuda:0'), grad: tensor([[ 6.6936e-05, 0.0000e+00, -3.9861e-06, ..., 9.6142e-05, 1.2510e-05, -4.3333e-05], [ 8.0764e-05, 0.0000e+00, 7.4208e-06, ..., -5.7268e-04, 7.9572e-06, 1.1727e-05], [ 4.2677e-04, 0.0000e+00, 5.3227e-05, ..., 8.7261e-04, 1.0639e-05, 3.0696e-05], ..., [ 8.2031e-06, 0.0000e+00, 3.1412e-05, ..., 7.4804e-05, -6.0916e-05, 2.1290e-06], [ 6.6161e-05, 0.0000e+00, 1.1319e-04, ..., 1.1677e-04, 1.2055e-05, 2.0728e-05], [ 1.7688e-05, 0.0000e+00, 2.1771e-05, ..., 3.0875e-05, 1.8463e-05, 2.2158e-05]], device='cuda:0') Epoch 50, bias, value: tensor([-0.0308, -0.0282, 0.0160, 0.0298, -0.0285, 0.0073, -0.0127, 0.0098, 0.0181, 0.0014], device='cuda:0'), grad: tensor([ 1.6057e-04, -5.9700e-04, 1.2722e-03, 4.8071e-05, 3.5691e-04, 1.2434e-04, -1.9131e-03, 1.0258e-04, 3.1757e-04, 1.2839e-04], device='cuda:0') 100 0.0001 changing lr epoch 49, time 214.59, cls_loss 0.0063 cls_loss_mapping 0.0189 cls_loss_causal 0.6648 re_mapping 0.0130 re_causal 0.0395 /// teacc 98.84 lr 0.00010000 Epoch 51, weight, value: tensor([[-0.0091, 0.0202, -0.0286, ..., -0.0457, -0.0337, 0.0454], [-0.0027, -0.0093, -0.0184, ..., 0.0829, -0.0357, -0.0210], [-0.0077, -0.0254, 0.0991, ..., -0.0538, -0.0736, -0.0380], ..., [-0.0118, -0.0433, -0.0146, ..., 0.0150, 0.0434, -0.0058], [-0.0377, -0.0388, -0.0043, ..., -0.0529, 0.0227, -0.0583], [-0.0794, -0.0289, -0.0656, ..., -0.0588, 0.0275, 0.0345]], device='cuda:0'), grad: tensor([[ 1.4648e-05, 2.5658e-07, -5.6773e-05, ..., -2.1152e-03, 1.1668e-05, -3.3493e-03], [ 2.1830e-05, 1.2608e-07, 2.1219e-05, ..., 8.5980e-06, 8.0466e-06, 2.5138e-05], [ 1.6525e-05, 1.0012e-07, -3.2663e-05, ..., 1.7211e-05, 4.4219e-06, 3.6031e-05], ..., [ 4.0412e-05, 5.2806e-07, -7.6229e-07, ..., 1.7539e-05, -1.5512e-05, 4.2647e-05], [ 1.2308e-05, 2.9407e-07, 5.3570e-06, ..., 1.8790e-05, 4.8190e-05, 1.0210e-04], [ 3.2753e-05, -2.3600e-06, 8.1137e-06, ..., 1.1826e-04, 4.7743e-05, 2.0802e-05]], device='cuda:0') Epoch 51, bias, value: tensor([-0.0312, -0.0281, 0.0158, 0.0299, -0.0288, 0.0075, -0.0124, 0.0096, 0.0184, 0.0012], device='cuda:0'), grad: tensor([-3.9978e-03, 9.4116e-05, 6.8069e-05, 2.5749e-04, -1.3554e-04, -3.4094e-04, 3.8013e-03, 1.3971e-04, 1.2100e-04, -6.0573e-06], device='cuda:0') 100 0.0001 changing lr epoch 50, time 214.70, cls_loss 0.0055 cls_loss_mapping 0.0192 cls_loss_causal 0.6834 re_mapping 0.0122 re_causal 0.0398 /// teacc 98.83 lr 0.00010000 Epoch 52, weight, value: tensor([[-0.0095, 0.0202, -0.0288, ..., -0.0459, -0.0340, 0.0454], [-0.0026, -0.0093, -0.0193, ..., 0.0839, -0.0360, -0.0213], [-0.0080, -0.0254, 0.1003, ..., -0.0542, -0.0740, -0.0383], ..., [-0.0121, -0.0433, -0.0144, ..., 0.0146, 0.0439, -0.0062], [-0.0382, -0.0390, -0.0044, ..., -0.0536, 0.0226, -0.0587], [-0.0798, -0.0289, -0.0663, ..., -0.0590, 0.0275, 0.0353]], device='cuda:0'), grad: tensor([[-3.8803e-05, 3.6089e-09, -9.1672e-05, ..., 1.0908e-05, 4.0643e-06, -8.3864e-05], [ 8.2329e-06, 1.2806e-09, 1.7524e-05, ..., -5.1945e-05, 6.9439e-05, 7.5027e-06], [ 1.2137e-05, 9.3132e-10, 8.2105e-06, ..., 1.5192e-05, 2.7984e-05, 2.0340e-05], ..., [-5.4628e-05, 7.2177e-09, -1.3757e-04, ..., -4.7028e-05, -4.2033e-04, -7.6815e-06], [ 1.6987e-05, 5.0059e-09, 2.7165e-05, ..., 2.9057e-05, 2.0757e-05, 7.0930e-05], [ 8.5235e-06, -6.6822e-08, 1.7703e-05, ..., 9.2983e-06, 3.5554e-05, -1.1110e-04]], device='cuda:0') Epoch 52, bias, value: tensor([-0.0315, -0.0277, 0.0157, 0.0299, -0.0290, 0.0075, -0.0124, 0.0096, 0.0185, 0.0014], device='cuda:0'), grad: tensor([-1.0473e-04, 6.1989e-05, 9.4116e-05, -6.0111e-05, 3.0828e-04, 2.5272e-04, 6.0126e-06, -6.9427e-04, 1.6713e-04, -3.1710e-05], device='cuda:0') 100 0.0001 changing lr epoch 51, time 214.63, cls_loss 0.0061 cls_loss_mapping 0.0173 cls_loss_causal 0.6699 re_mapping 0.0118 re_causal 0.0386 /// teacc 98.92 lr 0.00010000 Epoch 53, weight, value: tensor([[-0.0098, 0.0201, -0.0282, ..., -0.0459, -0.0342, 0.0456], [-0.0028, -0.0093, -0.0205, ..., 0.0841, -0.0365, -0.0217], [-0.0082, -0.0255, 0.1014, ..., -0.0542, -0.0743, -0.0387], ..., [-0.0118, -0.0418, -0.0140, ..., 0.0150, 0.0445, -0.0065], [-0.0384, -0.0392, -0.0048, ..., -0.0541, 0.0223, -0.0589], [-0.0805, -0.0288, -0.0667, ..., -0.0595, 0.0272, 0.0359]], device='cuda:0'), grad: tensor([[ 1.5132e-05, 0.0000e+00, -1.2979e-05, ..., 5.4576e-06, 8.3670e-06, -2.1711e-05], [ 1.4745e-05, 0.0000e+00, 3.7439e-06, ..., -3.8981e-05, 3.0160e-04, 8.1509e-06], [ 7.2494e-06, 0.0000e+00, -1.4998e-05, ..., 8.1658e-06, 1.4402e-05, 1.0461e-05], ..., [ 3.5673e-05, 0.0000e+00, -1.3903e-05, ..., 1.9655e-05, -4.4894e-04, 8.4937e-05], [ 1.2651e-05, 0.0000e+00, 1.5005e-05, ..., 1.2912e-05, 6.4969e-05, 5.0843e-05], [ 1.5821e-03, 0.0000e+00, 1.1578e-05, ..., 3.9972e-06, -1.9267e-05, 4.6086e-04]], device='cuda:0') Epoch 53, bias, value: tensor([-0.0314, -0.0280, 0.0158, 0.0300, -0.0292, 0.0078, -0.0127, 0.0101, 0.0185, 0.0011], device='cuda:0'), grad: tensor([ 1.9670e-05, 6.5708e-04, 5.4091e-05, 1.1110e-04, -2.8038e-03, 7.2479e-05, -2.8819e-05, -8.2541e-04, 2.2149e-04, 2.5234e-03], device='cuda:0') 100 0.0001 changing lr epoch 52, time 214.62, cls_loss 0.0049 cls_loss_mapping 0.0141 cls_loss_causal 0.6569 re_mapping 0.0116 re_causal 0.0381 /// teacc 98.82 lr 0.00010000 Epoch 54, weight, value: tensor([[-0.0102, 0.0201, -0.0275, ..., -0.0461, -0.0344, 0.0459], [-0.0032, -0.0094, -0.0207, ..., 0.0848, -0.0369, -0.0218], [-0.0083, -0.0255, 0.1020, ..., -0.0547, -0.0746, -0.0390], ..., [-0.0125, -0.0418, -0.0140, ..., 0.0145, 0.0448, -0.0068], [-0.0387, -0.0393, -0.0053, ..., -0.0547, 0.0222, -0.0595], [-0.0812, -0.0288, -0.0672, ..., -0.0598, 0.0270, 0.0362]], device='cuda:0'), grad: tensor([[ 9.4809e-07, 0.0000e+00, -8.5309e-06, ..., 1.9614e-06, 7.3127e-06, 1.0043e-05], [ 2.7474e-06, 0.0000e+00, 1.4648e-05, ..., -3.6269e-05, 1.3277e-05, 5.3607e-06], [ 1.2629e-06, 0.0000e+00, -7.3671e-05, ..., 6.4448e-06, 2.2367e-05, 2.2143e-05], ..., [ 2.3432e-06, 0.0000e+00, 3.0136e-04, ..., 9.7379e-06, 4.7874e-04, 2.3878e-04], [ 1.5926e-06, 0.0000e+00, 1.5795e-05, ..., 9.9465e-06, 1.2197e-05, 2.1532e-05], [ 2.7514e-04, 0.0000e+00, -4.5210e-05, ..., 3.7968e-05, 3.3360e-06, -1.1820e-04]], device='cuda:0') Epoch 54, bias, value: tensor([-0.0312, -0.0276, 0.0154, 0.0300, -0.0288, 0.0078, -0.0129, 0.0099, 0.0184, 0.0009], device='cuda:0'), grad: tensor([ 1.9565e-05, 1.6182e-07, 4.3869e-05, -1.1988e-03, -3.3331e-04, 2.2709e-05, 2.1785e-05, 1.2245e-03, 6.3837e-05, 1.3697e-04], device='cuda:0') 100 0.0001 changing lr epoch 53, time 214.37, cls_loss 0.0053 cls_loss_mapping 0.0160 cls_loss_causal 0.6427 re_mapping 0.0121 re_causal 0.0377 /// teacc 98.75 lr 0.00010000 Epoch 55, weight, value: tensor([[-0.0104, 0.0200, -0.0272, ..., -0.0463, -0.0345, 0.0461], [-0.0038, -0.0094, -0.0216, ..., 0.0851, -0.0372, -0.0241], [-0.0085, -0.0256, 0.1034, ..., -0.0549, -0.0750, -0.0392], ..., [-0.0133, -0.0420, -0.0140, ..., 0.0141, 0.0454, -0.0068], [-0.0390, -0.0394, -0.0064, ..., -0.0556, 0.0220, -0.0598], [-0.0818, -0.0288, -0.0678, ..., -0.0588, 0.0266, 0.0370]], device='cuda:0'), grad: tensor([[ 1.4976e-06, 0.0000e+00, -2.0266e-05, ..., 3.2298e-06, 1.1213e-06, -1.8835e-05], [ 2.2203e-06, 0.0000e+00, 6.7577e-06, ..., -2.5168e-05, 3.4180e-06, 3.1404e-06], [ 1.7956e-06, 0.0000e+00, 7.2658e-05, ..., 1.0423e-05, 4.7684e-06, 7.4543e-06], ..., [ 5.7230e-07, 0.0000e+00, 3.7346e-06, ..., 7.7784e-06, -3.9935e-06, 1.3024e-05], [ 9.4390e-07, 0.0000e+00, -1.3041e-04, ..., 4.7497e-06, -6.2168e-05, 5.1223e-06], [ 8.2701e-06, 0.0000e+00, 3.3885e-05, ..., 5.0589e-06, 1.4668e-06, -3.5197e-05]], device='cuda:0') Epoch 55, bias, value: tensor([-0.0312, -0.0282, 0.0158, 0.0298, -0.0284, 0.0080, -0.0128, 0.0100, 0.0181, 0.0010], device='cuda:0'), grad: tensor([-2.5839e-05, 4.2878e-06, 2.0993e-04, 3.4952e-04, 1.5572e-05, 1.7619e-04, -2.0638e-05, 3.1233e-05, -8.0299e-04, 6.2406e-05], device='cuda:0') 100 0.0001 changing lr epoch 54, time 214.65, cls_loss 0.0088 cls_loss_mapping 0.0218 cls_loss_causal 0.6801 re_mapping 0.0115 re_causal 0.0362 /// teacc 98.82 lr 0.00010000 Epoch 56, weight, value: tensor([[-0.0110, 0.0200, -0.0266, ..., -0.0467, -0.0349, 0.0461], [-0.0043, -0.0094, -0.0224, ..., 0.0855, -0.0377, -0.0244], [-0.0086, -0.0256, 0.1048, ..., -0.0551, -0.0756, -0.0395], ..., [-0.0134, -0.0428, -0.0145, ..., 0.0133, 0.0458, -0.0075], [-0.0394, -0.0396, -0.0072, ..., -0.0559, 0.0217, -0.0606], [-0.0826, -0.0286, -0.0673, ..., -0.0592, 0.0268, 0.0375]], device='cuda:0'), grad: tensor([[ 4.4815e-06, 0.0000e+00, -7.6294e-06, ..., 1.2361e-05, 2.6286e-05, -1.9550e-05], [ 1.0878e-05, 0.0000e+00, -4.2272e-04, ..., -1.1101e-03, 7.2098e-04, 2.9653e-05], [ 2.8964e-06, 0.0000e+00, 1.0338e-03, ..., 1.9569e-03, 1.4839e-03, 2.0608e-05], ..., [ 2.4468e-05, 0.0000e+00, -1.0281e-03, ..., -1.3189e-03, -3.6850e-03, -1.2897e-05], [ 2.1696e-05, 0.0000e+00, 7.1347e-05, ..., 1.6487e-04, 4.7135e-04, 3.5644e-05], [-5.0038e-05, 0.0000e+00, 1.0663e-04, ..., 2.9370e-05, 4.1866e-04, -6.9571e-04]], device='cuda:0') Epoch 56, bias, value: tensor([-0.0315, -0.0285, 0.0159, 0.0302, -0.0278, 0.0078, -0.0126, 0.0095, 0.0179, 0.0011], device='cuda:0'), grad: tensor([ 6.2346e-05, 1.5664e-04, 6.3400e-03, 1.0605e-03, 1.1158e-03, 3.3331e-04, 1.0043e-04, -1.0155e-02, 1.2093e-03, -2.2638e-04], device='cuda:0') 100 0.0001 changing lr epoch 55, time 214.59, cls_loss 0.0066 cls_loss_mapping 0.0176 cls_loss_causal 0.6638 re_mapping 0.0117 re_causal 0.0374 /// teacc 98.80 lr 0.00010000 Epoch 57, weight, value: tensor([[-0.0114, 0.0199, -0.0259, ..., -0.0468, -0.0351, 0.0466], [-0.0057, -0.0095, -0.0226, ..., 0.0866, -0.0382, -0.0241], [-0.0080, -0.0257, 0.1052, ..., -0.0554, -0.0765, -0.0400], ..., [-0.0141, -0.0427, -0.0136, ..., 0.0128, 0.0469, -0.0077], [-0.0399, -0.0397, -0.0074, ..., -0.0565, 0.0217, -0.0611], [-0.0832, -0.0286, -0.0688, ..., -0.0596, 0.0265, 0.0381]], device='cuda:0'), grad: tensor([[ 4.1835e-06, 1.2049e-07, 4.4368e-06, ..., 8.0392e-06, 2.7232e-06, 9.6671e-07], [ 1.8194e-05, 2.6054e-07, 1.0008e-04, ..., 3.3677e-05, 3.6657e-05, 5.6364e-06], [ 1.0461e-04, 4.7730e-07, -2.5225e-04, ..., -5.3272e-06, 7.7710e-06, 3.8855e-06], ..., [ 1.1310e-05, 9.4250e-07, -1.1154e-05, ..., -1.2264e-05, -5.0038e-05, 1.9833e-05], [ 4.1015e-06, 1.2910e-07, 2.6271e-05, ..., 1.2666e-05, 3.2745e-06, 2.7139e-06], [ 1.7494e-05, 1.0440e-06, 7.3686e-06, ..., 1.0826e-05, 1.8060e-05, 1.7166e-05]], device='cuda:0') Epoch 57, bias, value: tensor([-0.0315, -0.0280, 0.0154, 0.0298, -0.0276, 0.0079, -0.0130, 0.0100, 0.0178, 0.0011], device='cuda:0'), grad: tensor([ 5.4866e-05, 2.5678e-04, -2.0111e-04, -1.0377e-04, -2.3341e-04, 1.9535e-05, 9.9242e-05, 2.2650e-06, -3.8654e-05, 1.4412e-04], device='cuda:0') 100 0.0001 changing lr epoch 56, time 214.82, cls_loss 0.0082 cls_loss_mapping 0.0246 cls_loss_causal 0.6794 re_mapping 0.0113 re_causal 0.0365 /// teacc 98.90 lr 0.00010000 Epoch 58, weight, value: tensor([[-0.0119, 0.0202, -0.0251, ..., -0.0450, -0.0353, 0.0462], [-0.0064, -0.0096, -0.0239, ..., 0.0866, -0.0388, -0.0247], [-0.0084, -0.0257, 0.1061, ..., -0.0560, -0.0768, -0.0403], ..., [-0.0147, -0.0429, -0.0133, ..., 0.0124, 0.0474, -0.0080], [-0.0404, -0.0404, -0.0081, ..., -0.0577, 0.0212, -0.0621], [-0.0839, -0.0280, -0.0683, ..., -0.0602, 0.0263, 0.0393]], device='cuda:0'), grad: tensor([[ 3.6621e-03, 0.0000e+00, 2.7835e-05, ..., 3.7766e-03, 6.5640e-06, 4.4022e-03], [ 1.1957e-04, 0.0000e+00, 1.6376e-05, ..., -1.4772e-03, -2.0278e-04, 7.6652e-05], [ 6.4850e-05, 0.0000e+00, -2.4986e-04, ..., 5.8085e-05, 5.1185e-06, 6.3598e-05], ..., [ 7.7128e-05, 0.0000e+00, -1.1818e-06, ..., 1.5717e-03, 1.8334e-04, 1.1683e-04], [ 1.4436e-04, 0.0000e+00, 6.6817e-05, ..., 1.6487e-04, 2.1055e-05, 1.9038e-04], [ 9.1028e-04, 0.0000e+00, 3.5584e-05, ..., 4.1747e-04, -1.6481e-05, 2.6011e-04]], device='cuda:0') Epoch 58, bias, value: tensor([-0.0315, -0.0284, 0.0153, 0.0299, -0.0273, 0.0078, -0.0132, 0.0100, 0.0179, 0.0014], device='cuda:0'), grad: tensor([ 0.0094, -0.0016, -0.0002, 0.0001, -0.0016, 0.0016, -0.0118, 0.0020, 0.0005, 0.0015], device='cuda:0') 100 0.0001 changing lr epoch 57, time 214.51, cls_loss 0.0059 cls_loss_mapping 0.0180 cls_loss_causal 0.6809 re_mapping 0.0110 re_causal 0.0370 /// teacc 98.93 lr 0.00010000 Epoch 59, weight, value: tensor([[-0.0131, 0.0209, -0.0242, ..., -0.0460, -0.0354, 0.0464], [-0.0069, -0.0096, -0.0242, ..., 0.0866, -0.0393, -0.0253], [-0.0086, -0.0256, 0.1069, ..., -0.0565, -0.0771, -0.0407], ..., [-0.0153, -0.0429, -0.0130, ..., 0.0125, 0.0479, -0.0084], [-0.0404, -0.0405, -0.0086, ..., -0.0578, 0.0210, -0.0627], [-0.0849, -0.0280, -0.0693, ..., -0.0607, 0.0263, 0.0400]], device='cuda:0'), grad: tensor([[-2.4378e-05, 0.0000e+00, -1.0151e-06, ..., -2.6390e-05, 1.9986e-06, -1.3936e-04], [ 7.4357e-06, 0.0000e+00, 9.5740e-06, ..., -2.0981e-04, 8.2701e-06, 2.1443e-05], [ 7.3649e-06, 0.0000e+00, -5.1641e-04, ..., 5.3287e-05, 3.8017e-06, 1.6049e-05], ..., [ 6.3740e-06, 0.0000e+00, -9.9689e-06, ..., 2.6882e-05, -2.2888e-05, 4.8354e-06], [-1.3657e-05, 0.0000e+00, 1.7023e-04, ..., -1.8328e-05, 5.2080e-06, -4.3213e-05], [ 2.1338e-04, 0.0000e+00, 8.9109e-06, ..., 2.9519e-05, 1.1668e-05, 1.8165e-05]], device='cuda:0') Epoch 59, bias, value: tensor([-0.0317, -0.0290, 0.0150, 0.0293, -0.0270, 0.0076, -0.0122, 0.0102, 0.0185, 0.0013], device='cuda:0'), grad: tensor([-1.4329e-04, 3.8415e-05, -8.4591e-04, 9.4652e-04, -6.2920e-06, -1.1992e-04, 1.1897e-04, 2.4706e-05, -3.4070e-04, 3.2735e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 58---------------------------------------------------- epoch 58, time 230.85, cls_loss 0.0047 cls_loss_mapping 0.0146 cls_loss_causal 0.6211 re_mapping 0.0109 re_causal 0.0351 /// teacc 99.03 lr 0.00010000 Epoch 60, weight, value: tensor([[-0.0135, 0.0209, -0.0241, ..., -0.0463, -0.0356, 0.0465], [-0.0080, -0.0096, -0.0248, ..., 0.0874, -0.0396, -0.0259], [-0.0080, -0.0256, 0.1079, ..., -0.0568, -0.0773, -0.0410], ..., [-0.0156, -0.0429, -0.0128, ..., 0.0122, 0.0482, -0.0079], [-0.0407, -0.0406, -0.0087, ..., -0.0586, 0.0209, -0.0634], [-0.0854, -0.0280, -0.0707, ..., -0.0611, 0.0260, 0.0404]], device='cuda:0'), grad: tensor([[ 6.7532e-05, 2.7881e-08, -2.6003e-06, ..., 7.9215e-05, 6.9253e-06, 1.0848e-05], [ 5.3108e-05, 2.4389e-08, 2.5220e-06, ..., 4.9859e-05, 3.0585e-06, 2.7530e-06], [ 4.1455e-05, 4.7963e-08, -3.0100e-06, ..., 5.8949e-05, 4.9062e-06, 9.3356e-06], ..., [ 1.6555e-05, 2.6496e-07, -4.8466e-06, ..., 1.0014e-05, -1.0736e-05, 5.5172e-06], [ 3.0756e-05, 7.7940e-08, -2.4498e-05, ..., 3.7283e-05, 1.0759e-05, 1.1541e-05], [ 4.7237e-05, -3.8929e-07, 1.8165e-05, ..., 4.1872e-05, 3.7476e-06, 1.3813e-05]], device='cuda:0') Epoch 60, bias, value: tensor([-0.0319, -0.0290, 0.0153, 0.0293, -0.0268, 0.0076, -0.0122, 0.0104, 0.0183, 0.0009], device='cuda:0'), grad: tensor([ 2.3842e-04, 1.5199e-04, 1.7333e-04, -3.0160e-04, 8.4352e-04, 2.6894e-04, -1.6394e-03, 2.4572e-05, 7.3135e-05, 1.6844e-04], device='cuda:0') 100 0.0001 changing lr epoch 59, time 214.86, cls_loss 0.0066 cls_loss_mapping 0.0189 cls_loss_causal 0.6634 re_mapping 0.0108 re_causal 0.0360 /// teacc 98.99 lr 0.00010000 Epoch 61, weight, value: tensor([[-0.0139, 0.0204, -0.0237, ..., -0.0465, -0.0358, 0.0469], [-0.0083, -0.0098, -0.0254, ..., 0.0881, -0.0400, -0.0261], [-0.0080, -0.0251, 0.1090, ..., -0.0572, -0.0777, -0.0417], ..., [-0.0160, -0.0436, -0.0129, ..., 0.0118, 0.0487, -0.0084], [-0.0409, -0.0422, -0.0095, ..., -0.0593, 0.0205, -0.0639], [-0.0859, -0.0284, -0.0713, ..., -0.0614, 0.0259, 0.0408]], device='cuda:0'), grad: tensor([[ 1.3486e-05, 0.0000e+00, -1.4221e-06, ..., 3.6657e-05, 1.8686e-05, 5.2124e-05], [ 5.5246e-06, 0.0000e+00, 7.6890e-06, ..., -5.0068e-05, 8.5384e-06, 5.9120e-06], [ 3.4925e-06, 0.0000e+00, 4.0114e-05, ..., 1.5482e-05, 2.3678e-05, 3.2298e-06], ..., [ 3.6210e-06, 0.0000e+00, -5.0694e-05, ..., 2.1875e-05, -4.5568e-05, 1.6138e-05], [ 6.9998e-06, 0.0000e+00, -2.6777e-05, ..., 1.0371e-05, -1.5423e-05, 7.5996e-05], [ 5.7556e-06, 0.0000e+00, 5.9046e-06, ..., 1.0870e-05, 1.3202e-05, -8.1062e-05]], device='cuda:0') Epoch 61, bias, value: tensor([-0.0317, -0.0289, 0.0152, 0.0302, -0.0272, 0.0071, -0.0122, 0.0102, 0.0183, 0.0009], device='cuda:0'), grad: tensor([ 1.1271e-04, -3.9428e-05, 1.2541e-04, 1.0014e-04, 6.0230e-05, 1.4305e-03, -1.6127e-03, -1.3404e-05, -7.3195e-05, -9.0659e-05], device='cuda:0') 100 0.0001 changing lr epoch 60, time 214.61, cls_loss 0.0050 cls_loss_mapping 0.0144 cls_loss_causal 0.6244 re_mapping 0.0106 re_causal 0.0338 /// teacc 98.76 lr 0.00010000 Epoch 62, weight, value: tensor([[-0.0143, 0.0202, -0.0227, ..., -0.0469, -0.0359, 0.0470], [-0.0085, -0.0099, -0.0258, ..., 0.0890, -0.0404, -0.0263], [-0.0084, -0.0251, 0.1103, ..., -0.0578, -0.0778, -0.0422], ..., [-0.0167, -0.0443, -0.0135, ..., 0.0112, 0.0491, -0.0093], [-0.0411, -0.0429, -0.0104, ..., -0.0596, 0.0205, -0.0643], [-0.0866, -0.0287, -0.0714, ..., -0.0620, 0.0257, 0.0417]], device='cuda:0'), grad: tensor([[ 5.6475e-05, 4.0163e-08, 7.0751e-05, ..., 4.1462e-06, 1.9111e-06, 2.8586e-04], [ 3.2745e-06, 7.8406e-08, 9.1866e-06, ..., -2.2903e-05, 5.1372e-06, 3.0369e-05], [ 7.8008e-06, 1.2270e-07, 5.8450e-06, ..., 8.5309e-06, 2.0079e-06, 3.8624e-05], ..., [ 6.1207e-06, -7.0175e-07, 2.7046e-06, ..., 3.5018e-07, -1.4126e-05, 4.1336e-05], [ 1.0028e-05, 3.5448e-08, 1.3776e-05, ..., 1.4685e-05, 6.4112e-06, 5.6684e-05], [-1.4687e-04, -2.7078e-07, -2.0504e-04, ..., 1.1371e-06, 1.9930e-07, -7.6818e-04]], device='cuda:0') Epoch 62, bias, value: tensor([-0.0318, -0.0287, 0.0154, 0.0306, -0.0269, 0.0070, -0.0127, 0.0096, 0.0184, 0.0010], device='cuda:0'), grad: tensor([ 6.0797e-04, 5.6088e-05, 9.4593e-05, -8.8263e-04, 6.2656e-04, 8.4925e-04, 2.6301e-05, 6.0022e-05, 1.0520e-04, -1.5430e-03], device='cuda:0') 100 0.0001 changing lr epoch 61, time 214.24, cls_loss 0.0049 cls_loss_mapping 0.0152 cls_loss_causal 0.6451 re_mapping 0.0104 re_causal 0.0338 /// teacc 98.85 lr 0.00010000 Epoch 63, weight, value: tensor([[-0.0146, 0.0205, -0.0225, ..., -0.0471, -0.0361, 0.0469], [-0.0089, -0.0099, -0.0266, ..., 0.0894, -0.0413, -0.0271], [-0.0086, -0.0251, 0.1115, ..., -0.0579, -0.0785, -0.0424], ..., [-0.0173, -0.0442, -0.0135, ..., 0.0108, 0.0498, -0.0092], [-0.0416, -0.0430, -0.0111, ..., -0.0601, 0.0205, -0.0647], [-0.0873, -0.0287, -0.0722, ..., -0.0624, 0.0254, 0.0420]], device='cuda:0'), grad: tensor([[ 8.2701e-06, 0.0000e+00, -3.6638e-06, ..., 5.8636e-06, 3.2820e-06, -1.3001e-05], [ 5.9903e-06, 0.0000e+00, 2.6505e-06, ..., -3.2037e-05, 9.8646e-06, 2.2519e-06], [ 1.1846e-05, 0.0000e+00, 1.0207e-06, ..., 2.1920e-05, 4.5188e-06, 2.0470e-06], ..., [ 1.1742e-05, 0.0000e+00, -1.2621e-05, ..., 1.3649e-05, -3.0935e-05, 1.1347e-05], [ 1.5825e-05, 0.0000e+00, 8.3633e-07, ..., 1.1697e-05, 1.5721e-05, 1.9714e-05], [ 1.0461e-05, 0.0000e+00, 4.1015e-06, ..., 6.8322e-06, 1.3135e-05, -4.8608e-05]], device='cuda:0') Epoch 63, bias, value: tensor([-0.0322, -0.0291, 0.0157, 0.0305, -0.0267, 0.0073, -0.0124, 0.0098, 0.0185, 0.0006], device='cuda:0'), grad: tensor([ 6.0871e-06, -8.7619e-06, 4.2826e-05, 1.5691e-05, -2.8789e-05, -9.7275e-05, 5.5134e-05, -2.1577e-05, 7.1466e-05, -3.4750e-05], device='cuda:0') 100 0.0001 changing lr epoch 62, time 214.53, cls_loss 0.0037 cls_loss_mapping 0.0127 cls_loss_causal 0.6240 re_mapping 0.0104 re_causal 0.0334 /// teacc 98.98 lr 0.00010000 Epoch 64, weight, value: tensor([[-0.0146, 0.0205, -0.0222, ..., -0.0472, -0.0364, 0.0471], [-0.0091, -0.0099, -0.0269, ..., 0.0902, -0.0417, -0.0275], [-0.0088, -0.0250, 0.1121, ..., -0.0582, -0.0789, -0.0427], ..., [-0.0177, -0.0442, -0.0131, ..., 0.0107, 0.0504, -0.0094], [-0.0419, -0.0430, -0.0113, ..., -0.0605, 0.0204, -0.0651], [-0.0876, -0.0286, -0.0723, ..., -0.0629, 0.0252, 0.0427]], device='cuda:0'), grad: tensor([[ 3.1255e-06, 0.0000e+00, 4.5705e-07, ..., 3.8370e-06, 1.8291e-06, 4.6752e-06], [ 4.5747e-06, 0.0000e+00, 5.8115e-06, ..., -2.8368e-06, 1.5702e-06, 3.0119e-06], [ 2.8536e-06, 0.0000e+00, -4.5538e-05, ..., 1.4221e-06, 1.8179e-06, 3.0492e-06], ..., [ 3.8855e-06, 0.0000e+00, -9.7696e-07, ..., 1.4594e-06, -2.0154e-06, 3.8028e-05], [ 1.9103e-05, 0.0000e+00, 7.1675e-06, ..., 2.5630e-06, -8.0541e-06, 5.6624e-05], [-1.2219e-05, 0.0000e+00, 3.8669e-06, ..., 3.5837e-06, 3.7421e-06, -1.6189e-04]], device='cuda:0') Epoch 64, bias, value: tensor([-0.0322, -0.0289, 0.0154, 0.0305, -0.0270, 0.0072, -0.0127, 0.0101, 0.0186, 0.0007], device='cuda:0'), grad: tensor([ 1.8656e-05, 1.5825e-05, -4.9323e-05, 7.2122e-05, 3.6180e-05, 9.4175e-06, 8.3745e-06, 6.8903e-05, 1.2934e-04, -3.0947e-04], device='cuda:0') 100 0.0001 changing lr epoch 63, time 214.32, cls_loss 0.0043 cls_loss_mapping 0.0131 cls_loss_causal 0.6234 re_mapping 0.0099 re_causal 0.0322 /// teacc 98.85 lr 0.00010000 Epoch 65, weight, value: tensor([[-0.0150, 0.0205, -0.0216, ..., -0.0472, -0.0366, 0.0473], [-0.0094, -0.0099, -0.0278, ..., 0.0909, -0.0415, -0.0281], [-0.0091, -0.0250, 0.1124, ..., -0.0583, -0.0794, -0.0431], ..., [-0.0183, -0.0442, -0.0119, ..., 0.0100, 0.0507, -0.0097], [-0.0424, -0.0430, -0.0120, ..., -0.0610, 0.0203, -0.0655], [-0.0884, -0.0286, -0.0730, ..., -0.0634, 0.0250, 0.0432]], device='cuda:0'), grad: tensor([[ 2.9057e-06, 2.4331e-08, -1.6004e-05, ..., 2.1234e-05, 1.1496e-05, -1.5840e-05], [ 1.3612e-05, 5.4133e-09, -1.5569e-04, ..., -1.6193e-03, -7.6723e-04, -5.1498e-04], [ 8.6427e-05, 8.9640e-09, -4.6253e-05, ..., 6.3717e-05, 4.9978e-05, 1.7539e-05], ..., [ 7.9811e-05, 2.6776e-08, 1.2076e-04, ..., 1.2980e-03, 5.9175e-04, 4.2582e-04], [ 4.6492e-06, 5.5297e-08, 1.4260e-05, ..., 1.3284e-05, 2.9191e-05, 4.5002e-05], [ 1.3031e-05, -3.9348e-07, 1.6898e-05, ..., 6.6936e-05, 3.6657e-05, -1.0848e-04]], device='cuda:0') Epoch 65, bias, value: tensor([-0.0321, -0.0287, 0.0152, 0.0303, -0.0267, 0.0072, -0.0126, 0.0102, 0.0186, 0.0005], device='cuda:0'), grad: tensor([ 3.4660e-05, -4.9629e-03, 1.5831e-04, 7.7724e-05, 4.6682e-04, -3.6985e-05, 6.4492e-05, 4.0054e-03, 1.3149e-04, 5.8115e-05], device='cuda:0') 100 0.0001 changing lr epoch 64, time 214.40, cls_loss 0.0047 cls_loss_mapping 0.0131 cls_loss_causal 0.6064 re_mapping 0.0101 re_causal 0.0312 /// teacc 98.99 lr 0.00010000 Epoch 66, weight, value: tensor([[-0.0153, 0.0204, -0.0213, ..., -0.0473, -0.0369, 0.0476], [-0.0106, -0.0100, -0.0283, ..., 0.0918, -0.0417, -0.0288], [-0.0084, -0.0249, 0.1130, ..., -0.0594, -0.0800, -0.0433], ..., [-0.0187, -0.0443, -0.0111, ..., 0.0103, 0.0515, -0.0102], [-0.0428, -0.0432, -0.0126, ..., -0.0617, 0.0200, -0.0662], [-0.0891, -0.0287, -0.0737, ..., -0.0634, 0.0248, 0.0442]], device='cuda:0'), grad: tensor([[ 6.7195e-07, 0.0000e+00, 1.4894e-05, ..., 9.1791e-06, 9.3784e-07, 1.0341e-05], [ 3.1292e-06, 0.0000e+00, 7.9423e-06, ..., -8.0466e-05, 1.6475e-06, -1.1481e-05], [ 8.9221e-07, 0.0000e+00, -1.1903e-04, ..., 3.2876e-06, 1.2163e-06, -8.1584e-06], ..., [ 3.6545e-06, 0.0000e+00, 1.9908e-05, ..., 1.3210e-05, -3.5726e-06, 8.8960e-06], [ 1.4007e-06, 0.0000e+00, -1.2547e-05, ..., 9.3728e-06, 2.5854e-06, -4.3288e-06], [ 2.1785e-05, 0.0000e+00, 2.2739e-05, ..., 3.7313e-05, 5.5991e-06, -2.7701e-05]], device='cuda:0') Epoch 66, bias, value: tensor([-0.0321, -0.0287, 0.0147, 0.0303, -0.0269, 0.0072, -0.0127, 0.0109, 0.0182, 0.0008], device='cuda:0'), grad: tensor([ 6.9082e-05, -7.7248e-05, -1.6582e-04, 4.4942e-05, 1.9342e-05, 5.8502e-05, 4.3847e-06, 5.9158e-05, -1.8322e-04, 1.7071e-04], device='cuda:0') 100 0.0001 changing lr epoch 65, time 214.57, cls_loss 0.0048 cls_loss_mapping 0.0134 cls_loss_causal 0.6791 re_mapping 0.0093 re_causal 0.0315 /// teacc 99.00 lr 0.00010000 Epoch 67, weight, value: tensor([[-0.0154, 0.0204, -0.0207, ..., -0.0472, -0.0371, 0.0478], [-0.0109, -0.0100, -0.0285, ..., 0.0923, -0.0424, -0.0291], [-0.0087, -0.0250, 0.1145, ..., -0.0601, -0.0802, -0.0435], ..., [-0.0193, -0.0437, -0.0114, ..., 0.0103, 0.0522, -0.0104], [-0.0433, -0.0432, -0.0132, ..., -0.0620, 0.0198, -0.0667], [-0.0905, -0.0287, -0.0743, ..., -0.0640, 0.0244, 0.0445]], device='cuda:0'), grad: tensor([[ 2.0899e-06, 0.0000e+00, -3.1680e-05, ..., -7.0408e-06, 5.7071e-06, -1.8334e-04], [ 9.0757e-07, 0.0000e+00, 3.9846e-05, ..., -2.1088e-04, 2.2635e-05, 1.3143e-05], [ 1.3104e-06, 0.0000e+00, -1.0264e-04, ..., 7.3671e-05, 9.0674e-06, 2.5049e-05], ..., [ 3.2107e-07, 0.0000e+00, -7.3075e-05, ..., 5.9932e-05, -8.5771e-05, -2.7254e-05], [ 1.4380e-06, 0.0000e+00, 2.5287e-05, ..., 1.4715e-05, 4.6380e-06, 3.0026e-05], [ 2.1774e-06, 0.0000e+00, 3.6836e-05, ..., 7.3425e-06, 3.8207e-05, 3.6478e-05]], device='cuda:0') Epoch 67, bias, value: tensor([-0.0318, -0.0292, 0.0150, 0.0307, -0.0262, 0.0065, -0.0125, 0.0112, 0.0182, 0.0001], device='cuda:0'), grad: tensor([-3.3212e-04, -1.9431e-04, 1.8954e-05, -1.5044e-04, 6.8188e-05, 2.3508e-04, 2.5558e-04, -1.8775e-04, 1.0860e-04, 1.7822e-04], device='cuda:0') 100 0.0001 changing lr epoch 66, time 214.39, cls_loss 0.0053 cls_loss_mapping 0.0157 cls_loss_causal 0.6377 re_mapping 0.0098 re_causal 0.0313 /// teacc 98.89 lr 0.00010000 Epoch 68, weight, value: tensor([[-0.0161, 0.0204, -0.0198, ..., -0.0474, -0.0374, 0.0481], [-0.0114, -0.0100, -0.0292, ..., 0.0940, -0.0427, -0.0292], [-0.0090, -0.0249, 0.1149, ..., -0.0605, -0.0806, -0.0440], ..., [-0.0198, -0.0437, -0.0106, ..., 0.0084, 0.0528, -0.0109], [-0.0438, -0.0433, -0.0132, ..., -0.0626, 0.0195, -0.0675], [-0.0904, -0.0287, -0.0754, ..., -0.0644, 0.0243, 0.0453]], device='cuda:0'), grad: tensor([[ 2.7195e-07, 0.0000e+00, -5.2422e-05, ..., 1.1645e-05, 1.1483e-06, -6.8545e-05], [ 4.5309e-07, 0.0000e+00, 9.9912e-06, ..., -1.7464e-05, 3.1311e-06, 3.6359e-06], [ 7.4564e-08, 0.0000e+00, -4.6343e-05, ..., 1.7527e-06, 2.0545e-06, 6.8992e-06], ..., [ 5.0664e-07, 0.0000e+00, 6.5751e-07, ..., 9.5926e-07, -9.0301e-06, 1.0669e-05], [ 3.7951e-07, 0.0000e+00, 2.1830e-05, ..., 1.0803e-05, 1.3057e-06, 2.4036e-05], [-1.5339e-06, 0.0000e+00, 1.1604e-06, ..., 1.3439e-06, 2.7777e-07, -2.6390e-05]], device='cuda:0') Epoch 68, bias, value: tensor([-0.0318, -0.0280, 0.0145, 0.0303, -0.0270, 0.0067, -0.0121, 0.0107, 0.0185, 0.0003], device='cuda:0'), grad: tensor([-1.0133e-04, 1.0759e-05, -3.1590e-05, -1.5318e-05, 2.6852e-05, 3.7491e-05, 9.6932e-06, 1.0364e-05, 8.6010e-05, -3.2693e-05], device='cuda:0') 100 0.0001 changing lr epoch 67, time 214.56, cls_loss 0.0044 cls_loss_mapping 0.0114 cls_loss_causal 0.6227 re_mapping 0.0096 re_causal 0.0311 /// teacc 98.98 lr 0.00010000 Epoch 69, weight, value: tensor([[-0.0165, 0.0204, -0.0190, ..., -0.0474, -0.0376, 0.0485], [-0.0119, -0.0100, -0.0295, ..., 0.0945, -0.0433, -0.0294], [-0.0092, -0.0249, 0.1159, ..., -0.0611, -0.0812, -0.0442], ..., [-0.0200, -0.0437, -0.0100, ..., 0.0081, 0.0534, -0.0112], [-0.0438, -0.0433, -0.0141, ..., -0.0630, 0.0192, -0.0681], [-0.0910, -0.0287, -0.0760, ..., -0.0651, 0.0241, 0.0457]], device='cuda:0'), grad: tensor([[ 5.3018e-05, 0.0000e+00, 1.2219e-05, ..., 7.4983e-05, 1.0826e-05, -1.3402e-06], [-1.6868e-04, 0.0000e+00, -4.3325e-06, ..., -4.8971e-04, 2.6271e-05, 1.7313e-06], [ 1.3685e-04, 0.0000e+00, 2.7969e-05, ..., 3.4595e-04, 5.6505e-05, 2.3227e-06], ..., [ 1.8060e-05, 0.0000e+00, -1.8609e-04, ..., 4.5419e-05, -2.0313e-04, 6.9961e-06], [ 7.1712e-06, 0.0000e+00, 2.3767e-05, ..., 1.4156e-05, 1.8716e-05, 6.6496e-06], [ 6.9678e-05, 0.0000e+00, 5.2124e-05, ..., 1.3083e-05, 5.1469e-05, -1.4715e-05]], device='cuda:0') Epoch 69, bias, value: tensor([-3.1470e-02, -2.8339e-02, 1.4176e-02, 3.0584e-02, -2.6885e-02, 6.6535e-03, -1.2476e-02, 1.1432e-02, 1.8322e-02, -4.2948e-05], device='cuda:0'), grad: tensor([ 1.5688e-04, -5.0354e-04, 4.8923e-04, 6.9082e-05, 2.5064e-05, 5.0575e-05, -2.3139e-04, -4.0603e-04, 6.8963e-05, 2.8110e-04], device='cuda:0') 100 0.0001 changing lr epoch 68, time 214.67, cls_loss 0.0041 cls_loss_mapping 0.0124 cls_loss_causal 0.6462 re_mapping 0.0094 re_causal 0.0303 /// teacc 98.94 lr 0.00010000 Epoch 70, weight, value: tensor([[-0.0172, 0.0203, -0.0181, ..., -0.0481, -0.0378, 0.0487], [-0.0124, -0.0100, -0.0304, ..., 0.0951, -0.0437, -0.0296], [-0.0096, -0.0248, 0.1169, ..., -0.0615, -0.0815, -0.0445], ..., [-0.0203, -0.0437, -0.0107, ..., 0.0077, 0.0537, -0.0118], [-0.0441, -0.0433, -0.0145, ..., -0.0637, 0.0191, -0.0685], [-0.0924, -0.0288, -0.0753, ..., -0.0653, 0.0241, 0.0463]], device='cuda:0'), grad: tensor([[ 1.1288e-05, 0.0000e+00, -2.1216e-06, ..., 4.3362e-06, 2.6096e-06, -1.0550e-05], [ 2.5690e-05, 0.0000e+00, 2.3544e-04, ..., 3.1978e-05, 4.8965e-05, 1.9316e-06], [ 2.3395e-05, 0.0000e+00, -6.0606e-04, ..., -5.2422e-05, 8.3596e-06, 1.0081e-05], ..., [ 1.3089e-04, 0.0000e+00, 1.3900e-04, ..., 2.0489e-05, -1.1533e-04, 2.1830e-05], [ 4.8816e-05, 0.0000e+00, 7.3016e-05, ..., 2.5302e-05, 2.6852e-05, 8.0690e-06], [ 5.1737e-04, 0.0000e+00, 1.3344e-05, ..., 2.9325e-05, 1.7896e-05, -7.4506e-05]], device='cuda:0') Epoch 70, bias, value: tensor([-0.0315, -0.0284, 0.0142, 0.0305, -0.0265, 0.0068, -0.0123, 0.0107, 0.0181, 0.0006], device='cuda:0'), grad: tensor([ 1.4484e-05, 4.6372e-04, -6.8855e-04, 2.0742e-04, -1.1730e-03, -5.0455e-05, 6.0260e-05, 1.3292e-04, 2.5463e-04, 7.8106e-04], device='cuda:0') 100 0.0001 changing lr epoch 69, time 214.61, cls_loss 0.0041 cls_loss_mapping 0.0103 cls_loss_causal 0.6180 re_mapping 0.0091 re_causal 0.0296 /// teacc 98.97 lr 0.00010000 Epoch 71, weight, value: tensor([[-0.0178, 0.0203, -0.0178, ..., -0.0484, -0.0381, 0.0487], [-0.0127, -0.0100, -0.0312, ..., 0.0956, -0.0442, -0.0301], [-0.0098, -0.0248, 0.1180, ..., -0.0618, -0.0818, -0.0449], ..., [-0.0206, -0.0437, -0.0106, ..., 0.0075, 0.0542, -0.0122], [-0.0443, -0.0433, -0.0148, ..., -0.0643, 0.0187, -0.0691], [-0.0921, -0.0288, -0.0757, ..., -0.0658, 0.0240, 0.0470]], device='cuda:0'), grad: tensor([[ 8.4862e-06, 0.0000e+00, 1.5851e-06, ..., 1.1258e-05, 3.0212e-06, 5.8226e-06], [ 1.4849e-05, 0.0000e+00, 9.2462e-06, ..., -8.2282e-07, 2.9709e-06, 1.7872e-06], [ 8.2627e-06, 0.0000e+00, -2.0474e-05, ..., 1.0632e-05, 2.7120e-06, 6.1505e-06], ..., [ 8.9929e-06, 0.0000e+00, 6.6310e-06, ..., 7.0781e-06, -2.1048e-06, 1.9953e-05], [ 1.9506e-05, 0.0000e+00, -8.6986e-07, ..., 3.1352e-05, 9.9614e-06, 2.0966e-05], [ 1.1250e-05, 0.0000e+00, -1.4096e-05, ..., 9.4548e-06, -5.3234e-06, -8.3804e-05]], device='cuda:0') Epoch 71, bias, value: tensor([-0.0320, -0.0285, 0.0141, 0.0306, -0.0273, 0.0071, -0.0126, 0.0107, 0.0186, 0.0009], device='cuda:0'), grad: tensor([ 5.6416e-05, 3.5793e-05, 3.9101e-05, -1.4096e-05, 1.0431e-04, 8.9884e-05, -2.3711e-04, 6.2466e-05, -7.3433e-05, -6.3300e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 70---------------------------------------------------- epoch 70, time 232.14, cls_loss 0.0035 cls_loss_mapping 0.0113 cls_loss_causal 0.5866 re_mapping 0.0098 re_causal 0.0303 /// teacc 99.08 lr 0.00010000 Epoch 72, weight, value: tensor([[-0.0184, 0.0203, -0.0167, ..., -0.0486, -0.0383, 0.0490], [-0.0130, -0.0100, -0.0327, ..., 0.0959, -0.0449, -0.0303], [-0.0106, -0.0248, 0.1187, ..., -0.0621, -0.0825, -0.0452], ..., [-0.0213, -0.0437, -0.0099, ..., 0.0073, 0.0550, -0.0124], [-0.0437, -0.0434, -0.0153, ..., -0.0649, 0.0184, -0.0696], [-0.0929, -0.0288, -0.0766, ..., -0.0660, 0.0237, 0.0474]], device='cuda:0'), grad: tensor([[ 1.3746e-05, 0.0000e+00, -6.1840e-06, ..., 3.6154e-06, 2.8200e-06, -1.6326e-06], [ 1.5236e-05, 0.0000e+00, 1.2219e-05, ..., -5.5954e-06, 2.3723e-05, 8.3372e-06], [ 2.3767e-05, 0.0000e+00, -2.9817e-05, ..., 9.8944e-06, 6.2101e-06, 9.8348e-06], ..., [ 1.0982e-05, 0.0000e+00, -7.3075e-05, ..., 5.5581e-06, -2.6917e-04, -4.0829e-05], [ 9.2685e-06, 0.0000e+00, 7.8380e-06, ..., 3.2689e-06, 7.6815e-06, 2.2739e-05], [ 2.3723e-05, 0.0000e+00, 5.3167e-05, ..., 3.5856e-06, 2.0826e-04, 1.0455e-04]], device='cuda:0') Epoch 72, bias, value: tensor([-0.0319, -0.0289, 0.0138, 0.0309, -0.0270, 0.0071, -0.0128, 0.0111, 0.0185, 0.0006], device='cuda:0'), grad: tensor([ 2.6956e-05, 1.1027e-04, 8.2970e-05, -3.2616e-04, 9.9614e-06, 9.7528e-06, 3.5763e-05, -7.3147e-04, 8.3804e-05, 6.9809e-04], device='cuda:0') 100 0.0001 changing lr epoch 71, time 214.36, cls_loss 0.0034 cls_loss_mapping 0.0097 cls_loss_causal 0.6076 re_mapping 0.0091 re_causal 0.0294 /// teacc 98.93 lr 0.00010000 Epoch 73, weight, value: tensor([[-0.0188, 0.0203, -0.0167, ..., -0.0489, -0.0386, 0.0492], [-0.0134, -0.0100, -0.0335, ..., 0.0969, -0.0452, -0.0300], [-0.0108, -0.0247, 0.1202, ..., -0.0628, -0.0829, -0.0455], ..., [-0.0228, -0.0438, -0.0100, ..., 0.0070, 0.0554, -0.0128], [-0.0442, -0.0434, -0.0160, ..., -0.0653, 0.0182, -0.0700], [-0.0936, -0.0288, -0.0773, ..., -0.0663, 0.0235, 0.0479]], device='cuda:0'), grad: tensor([[ 1.5080e-05, 0.0000e+00, -1.3220e-04, ..., 1.1325e-05, 2.6673e-06, -1.1724e-04], [ 3.0339e-05, 0.0000e+00, 4.9323e-06, ..., 1.2465e-05, 5.0403e-06, 4.8354e-06], [ 1.4074e-05, 0.0000e+00, 8.0168e-06, ..., 7.4767e-06, 3.1628e-06, 8.1241e-05], ..., [ 1.5616e-05, 0.0000e+00, 9.1493e-06, ..., 8.2776e-06, 2.6338e-06, 1.1586e-05], [ 1.5169e-05, 0.0000e+00, 6.4731e-05, ..., 9.3579e-06, 4.2804e-06, 1.9819e-06], [ 1.4678e-05, 0.0000e+00, 1.0177e-05, ..., 6.7241e-06, 2.6673e-06, -6.7502e-06]], device='cuda:0') Epoch 73, bias, value: tensor([-0.0320, -0.0284, 0.0140, 0.0307, -0.0264, 0.0072, -0.0129, 0.0107, 0.0184, 0.0005], device='cuda:0'), grad: tensor([-1.6367e-04, 5.9366e-05, 9.8884e-05, -6.5386e-05, -3.1567e-04, 8.9943e-05, 2.0266e-04, 5.4508e-05, 8.6725e-06, 3.0696e-05], device='cuda:0') 100 0.0001 changing lr epoch 72, time 214.63, cls_loss 0.0035 cls_loss_mapping 0.0098 cls_loss_causal 0.6221 re_mapping 0.0090 re_causal 0.0301 /// teacc 98.81 lr 0.00010000 Epoch 74, weight, value: tensor([[-0.0196, 0.0203, -0.0165, ..., -0.0493, -0.0389, 0.0486], [-0.0141, -0.0100, -0.0342, ..., 0.0970, -0.0455, -0.0302], [-0.0105, -0.0247, 0.1217, ..., -0.0627, -0.0832, -0.0456], ..., [-0.0238, -0.0438, -0.0103, ..., 0.0069, 0.0555, -0.0133], [-0.0444, -0.0434, -0.0168, ..., -0.0656, 0.0181, -0.0704], [-0.0939, -0.0288, -0.0778, ..., -0.0664, 0.0233, 0.0489]], device='cuda:0'), grad: tensor([[ 4.7381e-08, 0.0000e+00, 1.9651e-06, ..., 2.2501e-06, 8.7032e-07, -5.4948e-06], [ 2.4680e-07, 0.0000e+00, 4.7833e-06, ..., -6.0797e-06, 1.8999e-06, 3.3099e-06], [ 2.2561e-07, 0.0000e+00, -1.6296e-04, ..., 3.1106e-06, 7.9069e-07, 3.6340e-06], ..., [ 1.2666e-07, 0.0000e+00, 6.5088e-05, ..., 1.4910e-06, -8.6352e-06, -6.1514e-07], [ 9.4355e-08, 0.0000e+00, 1.4700e-05, ..., 4.3064e-06, 6.4038e-06, 1.4178e-05], [-1.1800e-06, 0.0000e+00, 7.9125e-06, ..., 1.1474e-06, 7.4208e-06, -1.8790e-05]], device='cuda:0') Epoch 74, bias, value: tensor([-0.0329, -0.0288, 0.0145, 0.0309, -0.0263, 0.0075, -0.0128, 0.0104, 0.0181, 0.0008], device='cuda:0'), grad: tensor([ 4.8093e-06, 5.6587e-06, -1.6332e-04, 9.2685e-05, 2.7955e-05, -6.2704e-05, -3.3490e-06, 5.4777e-05, 4.4197e-05, -7.4925e-07], device='cuda:0') 100 0.0001 changing lr epoch 73, time 214.72, cls_loss 0.0034 cls_loss_mapping 0.0100 cls_loss_causal 0.6064 re_mapping 0.0090 re_causal 0.0294 /// teacc 99.00 lr 0.00010000 Epoch 75, weight, value: tensor([[-0.0198, 0.0203, -0.0161, ..., -0.0498, -0.0392, 0.0487], [-0.0146, -0.0100, -0.0349, ..., 0.0972, -0.0458, -0.0305], [-0.0109, -0.0247, 0.1237, ..., -0.0635, -0.0830, -0.0458], ..., [-0.0241, -0.0438, -0.0112, ..., 0.0073, 0.0558, -0.0135], [-0.0445, -0.0434, -0.0174, ..., -0.0660, 0.0180, -0.0709], [-0.0944, -0.0288, -0.0785, ..., -0.0667, 0.0230, 0.0492]], device='cuda:0'), grad: tensor([[ 4.1351e-07, 0.0000e+00, -5.8353e-05, ..., 7.1432e-07, -5.3458e-06, -2.2486e-05], [ 2.4177e-06, 0.0000e+00, 4.1611e-06, ..., -1.5581e-06, 9.4296e-07, 2.0843e-06], [ 1.0412e-06, 0.0000e+00, 6.9886e-06, ..., 7.6415e-07, 2.6654e-06, 4.5337e-06], ..., [ 8.5533e-06, 0.0000e+00, 1.4417e-06, ..., 3.6019e-07, -1.5146e-07, 6.6273e-06], [ 1.0170e-06, 0.0000e+00, 2.2441e-05, ..., -5.5656e-06, 4.9844e-06, 3.5460e-07], [ 2.9616e-07, 0.0000e+00, 1.2070e-05, ..., 6.0536e-07, 1.1232e-06, -4.1515e-05]], device='cuda:0') Epoch 75, bias, value: tensor([-0.0332, -0.0293, 0.0152, 0.0307, -0.0264, 0.0075, -0.0118, 0.0103, 0.0179, 0.0007], device='cuda:0'), grad: tensor([-8.3447e-05, 1.2755e-05, 2.2456e-05, 4.0889e-05, 5.1081e-05, -1.0319e-05, 2.2158e-05, 2.3872e-05, -1.4648e-05, -6.4909e-05], device='cuda:0') 100 0.0001 changing lr epoch 74, time 214.59, cls_loss 0.0037 cls_loss_mapping 0.0104 cls_loss_causal 0.6117 re_mapping 0.0091 re_causal 0.0293 /// teacc 98.95 lr 0.00010000 Epoch 76, weight, value: tensor([[-0.0201, 0.0203, -0.0149, ..., -0.0501, -0.0393, 0.0497], [-0.0148, -0.0100, -0.0358, ..., 0.0977, -0.0459, -0.0307], [-0.0111, -0.0247, 0.1238, ..., -0.0637, -0.0848, -0.0461], ..., [-0.0244, -0.0438, -0.0098, ..., 0.0071, 0.0565, -0.0141], [-0.0447, -0.0434, -0.0183, ..., -0.0665, 0.0178, -0.0708], [-0.0949, -0.0288, -0.0795, ..., -0.0669, 0.0230, 0.0495]], device='cuda:0'), grad: tensor([[ 3.5409e-06, 0.0000e+00, -5.9567e-06, ..., 6.0610e-06, 1.6401e-06, -3.9861e-06], [-3.6180e-05, 0.0000e+00, -3.2573e-07, ..., -1.4031e-04, -1.7971e-05, -3.5346e-05], [ 1.8524e-06, 0.0000e+00, -1.7822e-05, ..., 1.2733e-05, 1.7677e-06, 1.4929e-06], ..., [ 6.1207e-06, 0.0000e+00, 3.8780e-06, ..., 1.5289e-05, -1.1057e-05, 6.1877e-06], [ 1.4625e-05, 0.0000e+00, 1.1578e-05, ..., 4.7415e-05, 1.6555e-05, 3.3557e-05], [ 8.4043e-06, 0.0000e+00, -1.4566e-06, ..., 2.1368e-05, 7.7337e-06, -1.3314e-05]], device='cuda:0') Epoch 76, bias, value: tensor([-0.0325, -0.0291, 0.0143, 0.0308, -0.0264, 0.0072, -0.0120, 0.0108, 0.0181, 0.0006], device='cuda:0'), grad: tensor([ 5.5842e-06, -3.3617e-04, 3.2550e-07, 9.3997e-05, 7.4208e-05, -7.7903e-05, 3.0752e-06, 3.2693e-05, 1.6868e-04, 3.5226e-05], device='cuda:0') 100 0.0001 changing lr epoch 75, time 214.32, cls_loss 0.0035 cls_loss_mapping 0.0108 cls_loss_causal 0.6186 re_mapping 0.0089 re_causal 0.0294 /// teacc 98.99 lr 0.00010000 Epoch 77, weight, value: tensor([[-0.0205, 0.0203, -0.0146, ..., -0.0504, -0.0397, 0.0500], [-0.0138, -0.0100, -0.0366, ..., 0.0988, -0.0461, -0.0309], [-0.0113, -0.0247, 0.1247, ..., -0.0638, -0.0853, -0.0465], ..., [-0.0251, -0.0438, -0.0095, ..., 0.0068, 0.0573, -0.0144], [-0.0451, -0.0434, -0.0190, ..., -0.0677, 0.0179, -0.0711], [-0.0954, -0.0288, -0.0799, ..., -0.0672, 0.0226, 0.0499]], device='cuda:0'), grad: tensor([[ 8.2143e-07, 0.0000e+00, 1.4305e-06, ..., 3.9749e-06, 1.7723e-06, -1.6745e-06], [ 1.0598e-06, 0.0000e+00, 1.1665e-04, ..., 2.2128e-05, 3.5316e-06, 7.3761e-06], [ 4.4797e-07, 0.0000e+00, -1.6177e-04, ..., -4.3780e-05, 3.7979e-06, 1.0990e-05], ..., [ 2.8615e-07, 0.0000e+00, 6.6124e-06, ..., 2.7064e-06, 1.8269e-05, 3.9756e-05], [ 4.9639e-07, 0.0000e+00, 1.3942e-06, ..., 6.1542e-06, 4.5598e-06, 6.4373e-06], [ 4.0885e-07, 0.0000e+00, 5.1111e-06, ..., 2.5593e-06, -1.8418e-05, -4.3064e-05]], device='cuda:0') Epoch 77, bias, value: tensor([-0.0327, -0.0285, 0.0143, 0.0306, -0.0269, 0.0071, -0.0120, 0.0112, 0.0181, 0.0005], device='cuda:0'), grad: tensor([ 1.7405e-05, 1.4496e-04, -1.2791e-04, -2.2042e-04, 2.9981e-05, 8.9765e-05, 6.5565e-06, 9.4593e-05, 1.0774e-05, -4.6045e-05], device='cuda:0') 100 0.0001 changing lr epoch 76, time 214.52, cls_loss 0.0033 cls_loss_mapping 0.0108 cls_loss_causal 0.5884 re_mapping 0.0089 re_causal 0.0284 /// teacc 99.01 lr 0.00010000 Epoch 78, weight, value: tensor([[-0.0211, 0.0203, -0.0137, ..., -0.0504, -0.0400, 0.0500], [-0.0148, -0.0100, -0.0370, ..., 0.0995, -0.0469, -0.0304], [-0.0106, -0.0247, 0.1254, ..., -0.0640, -0.0857, -0.0468], ..., [-0.0264, -0.0438, -0.0094, ..., 0.0062, 0.0577, -0.0149], [-0.0452, -0.0434, -0.0198, ..., -0.0680, 0.0180, -0.0716], [-0.0961, -0.0288, -0.0802, ..., -0.0678, 0.0226, 0.0507]], device='cuda:0'), grad: tensor([[ 7.7439e-07, 0.0000e+00, -1.7852e-05, ..., 4.5933e-06, 8.0653e-07, -1.8048e-04], [ 7.4552e-07, 0.0000e+00, 2.6803e-06, ..., -4.8848e-07, 9.8646e-06, 1.0230e-05], [ 8.8150e-07, 0.0000e+00, 1.5954e-06, ..., 2.3786e-06, 6.1952e-06, 5.2080e-06], ..., [ 2.7055e-07, 0.0000e+00, 2.6897e-06, ..., 8.3633e-07, -3.1531e-05, 1.8224e-05], [ 8.2850e-06, 0.0000e+00, 2.7493e-06, ..., 2.0310e-05, 4.1306e-05, 3.3855e-05], [ 4.5495e-07, 0.0000e+00, 2.9691e-06, ..., 2.8331e-06, 1.8805e-05, -3.8594e-05]], device='cuda:0') Epoch 78, bias, value: tensor([-0.0326, -0.0282, 0.0144, 0.0303, -0.0269, 0.0068, -0.0116, 0.0108, 0.0180, 0.0007], device='cuda:0'), grad: tensor([-1.7202e-04, 3.8505e-05, 3.1173e-05, 6.6876e-05, 6.4552e-05, -6.7661e-07, -9.4891e-05, 9.9372e-07, 1.0282e-04, -3.7044e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 77---------------------------------------------------- epoch 77, time 230.46, cls_loss 0.0037 cls_loss_mapping 0.0104 cls_loss_causal 0.5952 re_mapping 0.0091 re_causal 0.0288 /// teacc 99.13 lr 0.00010000 Epoch 79, weight, value: tensor([[-0.0217, 0.0203, -0.0123, ..., -0.0504, -0.0401, 0.0504], [-0.0153, -0.0100, -0.0375, ..., 0.0998, -0.0476, -0.0299], [-0.0108, -0.0247, 0.1258, ..., -0.0647, -0.0859, -0.0477], ..., [-0.0274, -0.0438, -0.0101, ..., 0.0062, 0.0578, -0.0167], [-0.0453, -0.0434, -0.0209, ..., -0.0674, 0.0177, -0.0723], [-0.0968, -0.0288, -0.0789, ..., -0.0682, 0.0229, 0.0514]], device='cuda:0'), grad: tensor([[ 1.2740e-06, 0.0000e+00, -2.3574e-05, ..., 8.7870e-07, 1.3011e-06, -1.2092e-05], [ 6.8173e-06, 0.0000e+00, 1.3582e-05, ..., -7.5474e-06, 1.7341e-06, 4.0233e-06], [ 1.7602e-06, 0.0000e+00, -1.6570e-04, ..., 9.9093e-07, 2.0079e-06, 9.5218e-06], ..., [ 1.8016e-05, 0.0000e+00, -6.6161e-05, ..., 3.0212e-06, -1.4865e-04, -1.6856e-04], [ 3.9078e-06, 0.0000e+00, 1.8626e-05, ..., 4.0904e-06, 2.0966e-07, 4.4674e-05], [-3.3557e-05, 0.0000e+00, 1.2153e-04, ..., 1.0096e-05, 1.5426e-04, -1.4853e-04]], device='cuda:0') Epoch 79, bias, value: tensor([-0.0323, -0.0283, 0.0141, 0.0311, -0.0264, 0.0064, -0.0118, 0.0099, 0.0181, 0.0012], device='cuda:0'), grad: tensor([-1.5080e-05, 2.4796e-05, -1.0204e-04, -6.5994e-04, 5.3453e-04, 4.1437e-04, 2.0221e-05, -2.3615e-04, 1.2672e-04, -1.0824e-04], device='cuda:0') 100 0.0001 changing lr epoch 78, time 214.38, cls_loss 0.0025 cls_loss_mapping 0.0084 cls_loss_causal 0.6127 re_mapping 0.0088 re_causal 0.0279 /// teacc 99.03 lr 0.00010000 Epoch 80, weight, value: tensor([[-0.0221, 0.0203, -0.0116, ..., -0.0504, -0.0402, 0.0505], [-0.0154, -0.0100, -0.0378, ..., 0.1005, -0.0480, -0.0302], [-0.0113, -0.0247, 0.1264, ..., -0.0651, -0.0863, -0.0481], ..., [-0.0280, -0.0438, -0.0099, ..., 0.0060, 0.0585, -0.0168], [-0.0455, -0.0434, -0.0217, ..., -0.0679, 0.0176, -0.0726], [-0.0975, -0.0288, -0.0793, ..., -0.0684, 0.0226, 0.0519]], device='cuda:0'), grad: tensor([[ 8.9593e-07, 0.0000e+00, 4.9531e-05, ..., 3.3691e-07, 9.9242e-06, 1.1705e-05], [ 2.2557e-06, 0.0000e+00, 8.4937e-06, ..., 1.3388e-08, 9.2089e-06, 7.3351e-06], [-2.8417e-05, 0.0000e+00, -1.5128e-04, ..., -5.5917e-06, 2.1055e-05, -1.3188e-06], ..., [ 8.4937e-06, 0.0000e+00, -6.3002e-05, ..., 4.1933e-07, -3.9607e-05, 6.9961e-06], [-6.3740e-06, 0.0000e+00, 5.0291e-06, ..., 5.1260e-06, 6.6280e-05, 6.2406e-05], [ 1.8794e-06, 0.0000e+00, 1.5117e-05, ..., 2.5867e-07, 4.8935e-05, 8.9481e-06]], device='cuda:0') Epoch 80, bias, value: tensor([-0.0323, -0.0281, 0.0141, 0.0308, -0.0263, 0.0062, -0.0119, 0.0103, 0.0180, 0.0011], device='cuda:0'), grad: tensor([ 7.9751e-05, 3.7223e-05, -1.2171e-04, 3.3641e-04, 1.2612e-04, -7.6771e-04, 1.0741e-04, -5.7399e-05, 1.6928e-04, 9.0599e-05], device='cuda:0') 100 0.0001 changing lr epoch 79, time 214.32, cls_loss 0.0038 cls_loss_mapping 0.0106 cls_loss_causal 0.6113 re_mapping 0.0092 re_causal 0.0280 /// teacc 98.93 lr 0.00010000 Epoch 81, weight, value: tensor([[-0.0227, 0.0203, -0.0112, ..., -0.0508, -0.0405, 0.0509], [-0.0160, -0.0100, -0.0384, ..., 0.1008, -0.0502, -0.0305], [-0.0113, -0.0247, 0.1274, ..., -0.0654, -0.0869, -0.0483], ..., [-0.0285, -0.0438, -0.0096, ..., 0.0062, 0.0599, -0.0166], [-0.0462, -0.0434, -0.0223, ..., -0.0685, 0.0174, -0.0731], [-0.0984, -0.0288, -0.0802, ..., -0.0688, 0.0223, 0.0519]], device='cuda:0'), grad: tensor([[ 3.5670e-07, 1.0472e-07, -8.0884e-05, ..., 1.1355e-05, 9.1828e-07, -7.4863e-05], [ 3.9116e-06, 1.3169e-06, 1.3083e-05, ..., 2.7865e-06, 5.3048e-06, 7.6815e-06], [ 9.3644e-07, 3.0780e-07, -4.1890e-04, ..., 6.1579e-06, 2.4643e-06, 2.1592e-05], ..., [ 9.5088e-07, 2.8452e-07, 4.0126e-04, ..., 2.7078e-07, -7.8231e-06, 4.6730e-05], [ 1.7020e-07, 4.4645e-08, 1.7300e-05, ..., 2.4244e-05, 7.4320e-07, 4.5627e-05], [ 1.1129e-06, 3.2759e-07, 5.7295e-06, ..., 1.2638e-06, -4.1537e-06, -3.0965e-05]], device='cuda:0') Epoch 81, bias, value: tensor([-0.0322, -0.0287, 0.0143, 0.0305, -0.0262, 0.0066, -0.0117, 0.0111, 0.0176, 0.0005], device='cuda:0'), grad: tensor([-3.4928e-05, 3.4422e-05, -3.3617e-04, 1.5363e-05, 8.5309e-06, 5.0604e-05, -3.1137e-04, 4.2963e-04, 1.8215e-04, -3.7730e-05], device='cuda:0') 100 0.0001 changing lr epoch 80, time 214.24, cls_loss 0.0034 cls_loss_mapping 0.0112 cls_loss_causal 0.6377 re_mapping 0.0080 re_causal 0.0276 /// teacc 99.08 lr 0.00010000 Epoch 82, weight, value: tensor([[-0.0235, 0.0203, -0.0107, ..., -0.0511, -0.0407, 0.0510], [-0.0167, -0.0100, -0.0402, ..., 0.1009, -0.0505, -0.0308], [-0.0113, -0.0246, 0.1288, ..., -0.0649, -0.0873, -0.0488], ..., [-0.0287, -0.0438, -0.0095, ..., 0.0058, 0.0605, -0.0168], [-0.0468, -0.0434, -0.0226, ..., -0.0690, 0.0174, -0.0735], [-0.1000, -0.0288, -0.0807, ..., -0.0706, 0.0221, 0.0526]], device='cuda:0'), grad: tensor([[ 7.7416e-08, 0.0000e+00, -8.5905e-06, ..., 2.5192e-07, 3.0897e-07, -7.4394e-06], [ 3.7113e-07, 0.0000e+00, 1.6196e-06, ..., -5.1111e-06, 8.9221e-07, 3.6415e-07], [ 6.7346e-08, 0.0000e+00, -1.0483e-05, ..., 5.7416e-07, 1.0235e-06, 1.3560e-06], ..., [ 2.4564e-07, 0.0000e+00, 2.1420e-06, ..., 1.8310e-06, -2.8238e-06, 1.6345e-06], [ 1.4261e-07, 0.0000e+00, 5.6624e-06, ..., 1.1092e-06, 1.1707e-06, 4.3325e-06], [ 8.8848e-07, 0.0000e+00, 3.6173e-06, ..., 5.2340e-07, -5.7928e-07, -6.6310e-06]], device='cuda:0') Epoch 82, bias, value: tensor([-0.0325, -0.0291, 0.0150, 0.0303, -0.0251, 0.0064, -0.0115, 0.0111, 0.0176, -0.0001], device='cuda:0'), grad: tensor([-1.4409e-05, -3.5502e-06, 7.7719e-07, 1.7688e-05, 3.4831e-07, -1.6034e-05, 4.5113e-06, 5.6289e-06, 1.2375e-05, -7.3500e-06], device='cuda:0') 100 0.0001 changing lr epoch 81, time 214.25, cls_loss 0.0033 cls_loss_mapping 0.0101 cls_loss_causal 0.5708 re_mapping 0.0088 re_causal 0.0279 /// teacc 98.91 lr 0.00010000 Epoch 83, weight, value: tensor([[-0.0237, 0.0202, -0.0099, ..., -0.0513, -0.0409, 0.0512], [-0.0175, -0.0101, -0.0406, ..., 0.1015, -0.0514, -0.0334], [-0.0116, -0.0246, 0.1296, ..., -0.0654, -0.0877, -0.0490], ..., [-0.0292, -0.0438, -0.0087, ..., 0.0056, 0.0614, -0.0168], [-0.0471, -0.0434, -0.0232, ..., -0.0695, 0.0174, -0.0741], [-0.1003, -0.0288, -0.0820, ..., -0.0712, 0.0215, 0.0533]], device='cuda:0'), grad: tensor([[ 3.2149e-06, 0.0000e+00, 6.0834e-06, ..., 7.5772e-06, 1.0394e-06, 6.0834e-06], [ 3.6415e-06, 0.0000e+00, -3.3259e-05, ..., -1.0353e-04, 2.4550e-06, 1.1520e-06], [ 1.5656e-06, 0.0000e+00, -6.6236e-06, ..., 4.2975e-05, 1.2089e-06, -1.1589e-07], ..., [ 4.2282e-06, 0.0000e+00, 1.2927e-05, ..., 4.2140e-05, -7.2643e-06, 9.2834e-06], [ 4.7311e-06, 0.0000e+00, 1.0021e-05, ..., 1.1206e-05, 2.2445e-06, 1.7360e-05], [ 1.0565e-05, 0.0000e+00, -3.3956e-06, ..., 4.0047e-06, -4.9062e-06, -5.1290e-05]], device='cuda:0') Epoch 83, bias, value: tensor([-0.0324, -0.0295, 0.0149, 0.0304, -0.0250, 0.0070, -0.0123, 0.0115, 0.0175, -0.0002], device='cuda:0'), grad: tensor([ 2.7299e-05, -1.7416e-04, 6.0707e-05, 2.3603e-05, -3.5129e-06, 9.0599e-06, -1.5602e-05, 8.5711e-05, 5.4389e-05, -6.7353e-05], device='cuda:0') 100 0.0001 changing lr epoch 82, time 214.40, cls_loss 0.0028 cls_loss_mapping 0.0086 cls_loss_causal 0.6071 re_mapping 0.0084 re_causal 0.0279 /// teacc 99.00 lr 0.00010000 Epoch 84, weight, value: tensor([[-0.0239, 0.0202, -0.0089, ..., -0.0502, -0.0413, 0.0515], [-0.0178, -0.0101, -0.0410, ..., 0.1017, -0.0517, -0.0345], [-0.0120, -0.0246, 0.1301, ..., -0.0658, -0.0880, -0.0494], ..., [-0.0299, -0.0438, -0.0087, ..., 0.0053, 0.0618, -0.0173], [-0.0474, -0.0435, -0.0234, ..., -0.0694, 0.0172, -0.0744], [-0.1014, -0.0288, -0.0824, ..., -0.0712, 0.0210, 0.0542]], device='cuda:0'), grad: tensor([[ 4.6426e-07, 5.8208e-11, -3.2056e-06, ..., 1.2219e-06, 1.1250e-05, 2.4959e-06], [ 3.1572e-07, 7.5670e-10, 1.9401e-05, ..., -3.5968e-06, 2.4498e-05, 5.2825e-06], [ 2.1444e-07, 5.8208e-11, -3.9369e-05, ..., 1.3104e-06, 7.6815e-06, 4.3735e-06], ..., [ 1.2980e-08, 1.7462e-10, -4.6790e-06, ..., 1.4296e-06, 4.0460e-04, 3.9935e-04], [ 2.5402e-07, 5.8208e-11, 8.0466e-06, ..., 2.3134e-06, 8.0347e-05, 6.3300e-05], [ 4.5227e-08, 7.5670e-10, 3.0231e-06, ..., 4.2259e-07, -7.6675e-04, -6.4278e-04]], device='cuda:0') Epoch 84, bias, value: tensor([-0.0318, -0.0299, 0.0147, 0.0305, -0.0244, 0.0072, -0.0130, 0.0112, 0.0176, -0.0002], device='cuda:0'), grad: tensor([ 2.5809e-05, 8.4519e-05, -3.6240e-05, 6.0976e-05, 2.1636e-04, 3.3593e-04, 4.6939e-05, 1.2150e-03, 2.1279e-04, -2.1610e-03], device='cuda:0') 100 0.0001 changing lr epoch 83, time 214.47, cls_loss 0.0028 cls_loss_mapping 0.0094 cls_loss_causal 0.5857 re_mapping 0.0085 re_causal 0.0278 /// teacc 98.98 lr 0.00010000 Epoch 85, weight, value: tensor([[-0.0241, 0.0202, -0.0088, ..., -0.0504, -0.0415, 0.0516], [-0.0186, -0.0101, -0.0413, ..., 0.1021, -0.0519, -0.0347], [-0.0123, -0.0246, 0.1303, ..., -0.0662, -0.0885, -0.0496], ..., [-0.0295, -0.0438, -0.0085, ..., 0.0049, 0.0624, -0.0178], [-0.0476, -0.0435, -0.0232, ..., -0.0701, 0.0171, -0.0748], [-0.1021, -0.0289, -0.0829, ..., -0.0714, 0.0206, 0.0551]], device='cuda:0'), grad: tensor([[ 1.4380e-06, 0.0000e+00, -1.7174e-06, ..., 2.7698e-06, 1.9372e-06, -1.9427e-06], [ 1.8720e-06, 0.0000e+00, 2.0787e-06, ..., 1.7211e-06, 1.1502e-06, 9.0292e-07], [ 9.0199e-07, 0.0000e+00, -1.5855e-05, ..., 2.0340e-06, 2.0955e-06, 2.4810e-06], ..., [ 1.0030e-06, 0.0000e+00, 5.1446e-06, ..., 1.2228e-06, 1.8096e-06, 3.0976e-06], [ 1.3364e-06, 0.0000e+00, 1.9316e-06, ..., 4.9509e-06, 8.7991e-06, 1.5378e-05], [ 2.3078e-06, 0.0000e+00, 5.6904e-07, ..., 1.3690e-06, -3.7868e-06, -1.8865e-05]], device='cuda:0') Epoch 85, bias, value: tensor([-3.2018e-02, -2.9788e-02, 1.4144e-02, 3.0806e-02, -2.4935e-02, 6.9101e-03, -1.2462e-02, 1.1350e-02, 1.7934e-02, 1.4836e-05], device='cuda:0'), grad: tensor([ 7.1302e-06, 1.1362e-05, 7.1414e-06, -6.1691e-05, 5.8003e-06, -6.2166e-07, -3.1054e-05, 2.4065e-05, 6.9559e-05, -3.1710e-05], device='cuda:0') 100 0.0001 changing lr epoch 84, time 214.36, cls_loss 0.0031 cls_loss_mapping 0.0093 cls_loss_causal 0.5945 re_mapping 0.0083 re_causal 0.0271 /// teacc 99.04 lr 0.00010000 Epoch 86, weight, value: tensor([[-0.0246, 0.0202, -0.0082, ..., -0.0505, -0.0423, 0.0518], [-0.0190, -0.0101, -0.0417, ..., 0.1024, -0.0522, -0.0349], [-0.0124, -0.0246, 0.1312, ..., -0.0664, -0.0887, -0.0499], ..., [-0.0291, -0.0438, -0.0087, ..., 0.0046, 0.0630, -0.0182], [-0.0476, -0.0435, -0.0236, ..., -0.0704, 0.0164, -0.0757], [-0.1028, -0.0289, -0.0831, ..., -0.0716, 0.0206, 0.0559]], device='cuda:0'), grad: tensor([[ 5.3202e-08, 2.4447e-09, 1.0449e-06, ..., 4.8541e-06, 6.2212e-07, 7.4459e-07], [ 3.7486e-08, 8.9640e-09, 8.2627e-06, ..., -1.3554e-04, 2.5015e-06, -1.5005e-05], [-1.1770e-07, -6.0187e-08, -3.1173e-05, ..., 9.6858e-06, 2.7753e-06, 1.7313e-06], ..., [ 2.3202e-07, 1.3970e-09, 3.4254e-06, ..., 4.3988e-05, -9.7081e-06, 1.3508e-05], [ 1.5553e-07, 6.9849e-10, 5.5283e-06, ..., -7.3807e-08, -5.6773e-06, 7.7635e-06], [-2.6617e-06, 0.0000e+00, 1.6233e-06, ..., 1.1884e-05, 3.9600e-06, -3.4153e-05]], device='cuda:0') Epoch 86, bias, value: tensor([-0.0324, -0.0300, 0.0143, 0.0302, -0.0252, 0.0069, -0.0116, 0.0113, 0.0183, 0.0003], device='cuda:0'), grad: tensor([ 1.8731e-05, -2.4414e-04, 2.1204e-05, 2.4647e-05, 1.0490e-04, 6.7890e-05, 3.7670e-05, 1.0747e-04, -1.2374e-04, -1.4439e-05], device='cuda:0') 100 0.0001 changing lr epoch 85, time 214.18, cls_loss 0.0025 cls_loss_mapping 0.0083 cls_loss_causal 0.5765 re_mapping 0.0085 re_causal 0.0277 /// teacc 99.02 lr 0.00010000 Epoch 87, weight, value: tensor([[-0.0249, 0.0202, -0.0078, ..., -0.0508, -0.0428, 0.0519], [-0.0197, -0.0101, -0.0415, ..., 0.1029, -0.0524, -0.0353], [-0.0128, -0.0246, 0.1318, ..., -0.0672, -0.0890, -0.0503], ..., [-0.0295, -0.0438, -0.0087, ..., 0.0042, 0.0635, -0.0184], [-0.0475, -0.0435, -0.0245, ..., -0.0706, 0.0161, -0.0760], [-0.1036, -0.0289, -0.0835, ..., -0.0720, 0.0204, 0.0562]], device='cuda:0'), grad: tensor([[ 2.0373e-07, 1.7462e-08, 3.3025e-06, ..., 4.0792e-06, 2.1029e-06, 3.1013e-06], [ 3.6485e-07, 1.7462e-08, 5.1521e-06, ..., -1.6056e-06, 3.1944e-06, 1.7239e-06], [ 2.6803e-06, -3.5390e-07, -1.4372e-05, ..., 5.1074e-06, 1.7226e-05, 3.2019e-06], ..., [ 8.9174e-08, 4.6799e-08, -5.7667e-05, ..., 1.0114e-06, -6.9737e-05, 1.5441e-06], [ 2.4796e-07, 4.9127e-08, 7.2196e-06, ..., 3.7849e-05, 5.6252e-06, 2.5764e-05], [ 1.9418e-07, 9.7789e-09, 2.8759e-05, ..., 1.5367e-06, 3.3110e-05, -1.3448e-05]], device='cuda:0') Epoch 87, bias, value: tensor([-3.2597e-02, -3.0042e-02, 1.3809e-02, 3.0340e-02, -2.4986e-02, 7.1356e-03, -1.1128e-02, 1.1158e-02, 1.8457e-02, -2.6169e-05], device='cuda:0'), grad: tensor([ 2.5585e-05, 1.8731e-05, 3.3259e-05, -1.5751e-05, 1.6183e-05, 2.4819e-04, -4.4727e-04, -1.2517e-04, 1.9073e-04, 5.5015e-05], device='cuda:0') 100 0.0001 changing lr epoch 86, time 214.34, cls_loss 0.0026 cls_loss_mapping 0.0081 cls_loss_causal 0.5831 re_mapping 0.0083 re_causal 0.0265 /// teacc 99.12 lr 0.00010000 Epoch 88, weight, value: tensor([[-0.0252, 0.0204, -0.0073, ..., -0.0511, -0.0429, 0.0521], [-0.0200, -0.0101, -0.0421, ..., 0.1032, -0.0527, -0.0356], [-0.0131, -0.0245, 0.1326, ..., -0.0674, -0.0893, -0.0506], ..., [-0.0298, -0.0438, -0.0085, ..., 0.0040, 0.0639, -0.0190], [-0.0486, -0.0435, -0.0248, ..., -0.0711, 0.0151, -0.0781], [-0.1038, -0.0289, -0.0839, ..., -0.0723, 0.0203, 0.0570]], device='cuda:0'), grad: tensor([[ 5.2825e-06, 1.1642e-10, -5.4330e-05, ..., 4.3064e-06, -3.1352e-05, -2.3872e-05], [ 4.6879e-05, 1.5134e-09, 1.3717e-05, ..., 1.9938e-05, 1.0200e-05, 6.8881e-06], [ 2.1812e-06, 1.1642e-10, 1.7732e-05, ..., 2.0452e-06, 2.2680e-05, 4.9882e-06], ..., [ 7.0855e-06, 4.6566e-10, -8.4102e-05, ..., 5.4501e-06, -7.1824e-05, 2.2147e-06], [ 1.3299e-05, 1.1642e-10, 2.1920e-05, ..., 9.1121e-06, 1.3910e-05, 5.9232e-06], [ 7.8976e-05, 2.7940e-09, 3.3796e-05, ..., 4.4018e-05, 2.6971e-05, 1.0885e-05]], device='cuda:0') Epoch 88, bias, value: tensor([-0.0327, -0.0304, 0.0138, 0.0306, -0.0251, 0.0075, -0.0106, 0.0111, 0.0171, 0.0006], device='cuda:0'), grad: tensor([-1.2505e-04, 9.4831e-05, 5.7161e-05, 1.7717e-05, -3.1781e-04, 5.1200e-05, 1.0943e-04, -1.4985e-04, 6.5565e-05, 1.9729e-04], device='cuda:0') 100 0.0001 changing lr epoch 87, time 214.39, cls_loss 0.0041 cls_loss_mapping 0.0122 cls_loss_causal 0.5907 re_mapping 0.0085 re_causal 0.0262 /// teacc 98.95 lr 0.00010000 Epoch 89, weight, value: tensor([[-0.0257, 0.0204, -0.0070, ..., -0.0515, -0.0432, 0.0523], [-0.0209, -0.0101, -0.0427, ..., 0.1028, -0.0532, -0.0370], [-0.0121, -0.0245, 0.1340, ..., -0.0672, -0.0897, -0.0507], ..., [-0.0301, -0.0439, -0.0082, ..., 0.0036, 0.0645, -0.0202], [-0.0482, -0.0435, -0.0261, ..., -0.0715, 0.0147, -0.0787], [-0.1043, -0.0290, -0.0843, ..., -0.0724, 0.0201, 0.0581]], device='cuda:0'), grad: tensor([[ 5.6298e-07, 0.0000e+00, -2.7008e-08, ..., 6.1560e-07, 2.6310e-07, 1.2573e-08], [ 6.3051e-07, 0.0000e+00, 7.9907e-07, ..., -2.8744e-05, 1.2177e-07, 1.7951e-07], [ 3.3970e-07, 0.0000e+00, -4.7833e-06, ..., 7.5111e-07, 1.7113e-07, 1.8766e-07], ..., [ 1.2144e-06, 0.0000e+00, 1.2154e-06, ..., 2.2903e-05, -3.4925e-07, 2.2631e-06], [ 9.8627e-07, 0.0000e+00, 3.3458e-07, ..., 6.9803e-07, 2.6636e-07, 1.0561e-06], [ 9.0837e-05, 0.0000e+00, -6.5891e-08, ..., 2.9616e-06, 2.3562e-07, -1.4044e-06]], device='cuda:0') Epoch 89, bias, value: tensor([-0.0330, -0.0314, 0.0147, 0.0309, -0.0253, 0.0077, -0.0104, 0.0105, 0.0167, 0.0014], device='cuda:0'), grad: tensor([ 1.9595e-06, -3.4600e-05, -1.0496e-06, 5.3421e-06, -1.4496e-04, 1.3858e-05, -7.0632e-06, 3.6120e-05, -3.8221e-06, 1.3411e-04], device='cuda:0') 100 0.0001 changing lr epoch 88, time 214.41, cls_loss 0.0029 cls_loss_mapping 0.0096 cls_loss_causal 0.6272 re_mapping 0.0080 re_causal 0.0264 /// teacc 98.91 lr 0.00010000 Epoch 90, weight, value: tensor([[-0.0264, 0.0203, -0.0062, ..., -0.0519, -0.0433, 0.0526], [-0.0212, -0.0101, -0.0446, ..., 0.1024, -0.0534, -0.0384], [-0.0120, -0.0243, 0.1349, ..., -0.0669, -0.0907, -0.0510], ..., [-0.0306, -0.0439, -0.0073, ..., 0.0026, 0.0655, -0.0201], [-0.0484, -0.0436, -0.0264, ..., -0.0723, 0.0149, -0.0790], [-0.1048, -0.0290, -0.0851, ..., -0.0729, 0.0196, 0.0584]], device='cuda:0'), grad: tensor([[ 8.5216e-08, 0.0000e+00, -1.9800e-06, ..., 1.1483e-06, 1.4063e-07, -1.6559e-06], [ 1.0850e-07, 0.0000e+00, 5.0217e-06, ..., -1.9550e-05, 6.3330e-07, 3.1199e-07], [ 1.5413e-07, 0.0000e+00, -5.2541e-05, ..., 2.1700e-06, -8.5356e-07, 5.7463e-07], ..., [ 4.3400e-07, 0.0000e+00, 2.5660e-05, ..., 2.0191e-06, -1.2703e-06, 2.5965e-06], [ 6.0583e-07, 0.0000e+00, -5.4063e-07, ..., 6.8396e-06, 1.1129e-06, 1.6717e-06], [ 1.1595e-07, 0.0000e+00, 1.2638e-06, ..., 6.8778e-07, 9.9372e-07, -5.9940e-06]], device='cuda:0') Epoch 90, bias, value: tensor([-0.0331, -0.0321, 0.0149, 0.0307, -0.0256, 0.0084, -0.0106, 0.0111, 0.0170, 0.0011], device='cuda:0'), grad: tensor([-4.0466e-07, -2.8640e-05, -3.7014e-05, 1.0526e-04, 9.7454e-06, -8.6904e-05, 1.4663e-05, 3.0637e-05, -2.0657e-06, -5.4650e-06], device='cuda:0') 100 0.0001 changing lr epoch 89, time 213.98, cls_loss 0.0027 cls_loss_mapping 0.0081 cls_loss_causal 0.6064 re_mapping 0.0084 re_causal 0.0267 /// teacc 99.13 lr 0.00010000 Epoch 91, weight, value: tensor([[-0.0267, 0.0207, -0.0064, ..., -0.0521, -0.0435, 0.0523], [-0.0215, -0.0101, -0.0449, ..., 0.1030, -0.0536, -0.0385], [-0.0121, -0.0243, 0.1357, ..., -0.0673, -0.0912, -0.0513], ..., [-0.0315, -0.0439, -0.0072, ..., 0.0022, 0.0659, -0.0204], [-0.0485, -0.0436, -0.0270, ..., -0.0727, 0.0148, -0.0793], [-0.1066, -0.0290, -0.0854, ..., -0.0731, 0.0195, 0.0594]], device='cuda:0'), grad: tensor([[ 1.4618e-05, 0.0000e+00, -7.1190e-06, ..., 9.7305e-06, 4.6343e-06, -1.5423e-05], [ 6.6943e-06, 0.0000e+00, 2.0102e-05, ..., -1.2290e-04, 1.8731e-05, -2.5302e-05], [ 4.2021e-05, 0.0000e+00, 1.5235e-04, ..., 2.1324e-05, 1.4043e-04, 6.1691e-06], ..., [-8.0407e-05, 0.0000e+00, -4.3678e-04, ..., 5.0306e-05, -4.0889e-04, 1.9670e-05], [ 1.3113e-05, 0.0000e+00, 4.9055e-05, ..., 7.3500e-06, 4.5508e-05, 2.7537e-05], [ 5.2415e-06, 0.0000e+00, 4.3899e-05, ..., 7.8753e-06, 3.4899e-05, -1.7655e-04]], device='cuda:0') Epoch 91, bias, value: tensor([-0.0332, -0.0317, 0.0148, 0.0308, -0.0246, 0.0081, -0.0108, 0.0109, 0.0170, 0.0005], device='cuda:0'), grad: tensor([ 1.5691e-05, -3.3140e-04, 4.5180e-04, -2.6543e-06, 1.2722e-03, 4.7654e-05, -4.6778e-04, -8.6117e-04, 1.9872e-04, -3.2234e-04], device='cuda:0') 100 0.0001 changing lr epoch 90, time 214.25, cls_loss 0.0044 cls_loss_mapping 0.0121 cls_loss_causal 0.5896 re_mapping 0.0091 re_causal 0.0268 /// teacc 98.96 lr 0.00010000 Epoch 92, weight, value: tensor([[-0.0273, 0.0223, -0.0052, ..., -0.0525, -0.0437, 0.0528], [-0.0217, -0.0101, -0.0453, ..., 0.1035, -0.0539, -0.0386], [-0.0122, -0.0238, 0.1375, ..., -0.0676, -0.0908, -0.0520], ..., [-0.0320, -0.0442, -0.0084, ..., 0.0019, 0.0658, -0.0208], [-0.0492, -0.0436, -0.0266, ..., -0.0733, 0.0153, -0.0787], [-0.1071, -0.0294, -0.0863, ..., -0.0732, 0.0192, 0.0598]], device='cuda:0'), grad: tensor([[ 8.7777e-07, 0.0000e+00, 2.4959e-06, ..., 1.0692e-05, 8.8848e-07, 4.9546e-06], [ 2.7847e-06, 0.0000e+00, 1.8915e-06, ..., -5.8487e-06, 5.5833e-07, 4.9686e-07], [ 1.0235e-06, 0.0000e+00, -2.8744e-05, ..., 4.4378e-07, 6.0722e-07, 5.6019e-07], ..., [ 1.3210e-05, 0.0000e+00, 4.6566e-06, ..., 1.4473e-06, 1.1977e-06, 9.4855e-07], [ 1.7704e-06, 0.0000e+00, 5.1819e-06, ..., 9.9186e-07, 8.1258e-07, 2.0545e-06], [ 1.9118e-05, 0.0000e+00, 9.2806e-07, ..., 8.5635e-07, 2.6636e-06, -3.6322e-06]], device='cuda:0') Epoch 92, bias, value: tensor([-0.0330, -0.0317, 0.0149, 0.0331, -0.0251, 0.0079, -0.0112, 0.0101, 0.0163, 0.0004], device='cuda:0'), grad: tensor([ 2.2411e-05, 1.3188e-06, -2.6524e-05, 3.1888e-05, -4.4554e-05, -2.1473e-05, -7.0073e-06, 2.3708e-05, 2.5667e-06, 1.7673e-05], device='cuda:0') 100 0.0001 changing lr epoch 91, time 214.28, cls_loss 0.0029 cls_loss_mapping 0.0083 cls_loss_causal 0.5912 re_mapping 0.0089 re_causal 0.0267 /// teacc 98.97 lr 0.00010000 Epoch 93, weight, value: tensor([[-0.0277, 0.0223, -0.0050, ..., -0.0530, -0.0441, 0.0527], [-0.0223, -0.0101, -0.0458, ..., 0.1042, -0.0544, -0.0387], [-0.0122, -0.0237, 0.1390, ..., -0.0680, -0.0909, -0.0524], ..., [-0.0326, -0.0442, -0.0087, ..., 0.0013, 0.0664, -0.0209], [-0.0494, -0.0437, -0.0275, ..., -0.0739, 0.0157, -0.0788], [-0.1073, -0.0294, -0.0866, ..., -0.0727, 0.0188, 0.0605]], device='cuda:0'), grad: tensor([[ 1.9614e-06, 0.0000e+00, -8.4266e-06, ..., 1.5870e-06, -4.0606e-07, -4.2804e-06], [ 2.1402e-06, 0.0000e+00, 5.9325e-07, ..., -9.1314e-05, 1.7025e-06, 1.4771e-06], [ 7.0222e-07, 0.0000e+00, -4.5169e-08, ..., 2.1517e-05, 1.9046e-06, 1.4016e-06], ..., [ 6.9067e-06, 0.0000e+00, -9.8795e-06, ..., 2.0742e-05, -4.7058e-05, 3.2336e-06], [ 1.9538e-04, 0.0000e+00, 2.8610e-06, ..., 1.3612e-05, 6.5044e-06, 3.6740e-04], [-2.0456e-04, 0.0000e+00, 6.4559e-06, ..., 6.2399e-06, 3.1173e-05, -4.2725e-04]], device='cuda:0') Epoch 93, bias, value: tensor([-0.0335, -0.0314, 0.0153, 0.0328, -0.0255, 0.0078, -0.0117, 0.0101, 0.0166, 0.0009], device='cuda:0'), grad: tensor([-5.9456e-06, -1.7393e-04, 4.8995e-05, 2.5606e-04, 1.0610e-05, -7.1764e-05, 2.0742e-05, -4.4256e-05, 1.0557e-03, -1.0967e-03], device='cuda:0') 100 0.0001 changing lr epoch 92, time 214.38, cls_loss 0.0032 cls_loss_mapping 0.0102 cls_loss_causal 0.5873 re_mapping 0.0079 re_causal 0.0255 /// teacc 98.94 lr 0.00010000 Epoch 94, weight, value: tensor([[-2.8471e-02, 2.2298e-02, -4.5561e-03, ..., -5.3449e-02, -4.4358e-02, 5.2974e-02], [-2.2698e-02, -1.0099e-02, -4.6294e-02, ..., 1.0538e-01, -5.3089e-02, -3.8805e-02], [-1.2412e-02, -2.3606e-02, 1.4001e-01, ..., -6.8627e-02, -9.1246e-02, -5.2659e-02], ..., [-3.3376e-02, -4.4267e-02, -8.4083e-03, ..., -3.0199e-05, 6.6641e-02, -2.1043e-02], [-4.9329e-02, -4.3721e-02, -2.8206e-02, ..., -7.4380e-02, 1.5710e-02, -7.8905e-02], [-1.0929e-01, -2.9342e-02, -8.7437e-02, ..., -7.3637e-02, 1.8309e-02, 6.0592e-02]], device='cuda:0'), grad: tensor([[ 4.6846e-07, 0.0000e+00, -5.1688e-08, ..., 1.2768e-06, 2.0079e-06, 6.2771e-07], [ 1.4799e-06, 0.0000e+00, 1.2256e-05, ..., 5.0031e-06, 3.8385e-05, 9.2434e-07], [ 5.6624e-07, 0.0000e+00, 5.2759e-07, ..., 9.9931e-07, 8.1211e-06, 4.7870e-07], ..., [ 6.1654e-07, 0.0000e+00, -3.4511e-05, ..., -1.2763e-05, -1.3876e-04, -5.3877e-07], [ 2.5909e-06, 0.0000e+00, 8.8476e-07, ..., 1.2806e-06, 6.7875e-06, 7.0892e-06], [-1.6302e-05, 0.0000e+00, 1.3590e-05, ..., 4.7907e-06, 4.3303e-05, -4.6343e-05]], device='cuda:0') Epoch 94, bias, value: tensor([-0.0334, -0.0302, 0.0153, 0.0323, -0.0244, 0.0077, -0.0123, 0.0096, 0.0170, -0.0005], device='cuda:0'), grad: tensor([ 6.0312e-06, 8.8096e-05, 1.8165e-05, 7.9811e-05, 7.7963e-05, 9.4203e-07, -2.7660e-06, -2.9254e-04, 2.2113e-05, 2.0508e-06], device='cuda:0') 100 0.0001 changing lr epoch 93, time 214.40, cls_loss 0.0039 cls_loss_mapping 0.0109 cls_loss_causal 0.5587 re_mapping 0.0077 re_causal 0.0245 /// teacc 99.03 lr 0.00010000 Epoch 95, weight, value: tensor([[-0.0285, 0.0223, -0.0050, ..., -0.0512, -0.0446, 0.0524], [-0.0229, -0.0101, -0.0485, ..., 0.1046, -0.0536, -0.0389], [-0.0126, -0.0232, 0.1415, ..., -0.0692, -0.0922, -0.0530], ..., [-0.0341, -0.0444, -0.0098, ..., -0.0003, 0.0665, -0.0211], [-0.0498, -0.0438, -0.0281, ..., -0.0728, 0.0160, -0.0800], [-0.1096, -0.0294, -0.0873, ..., -0.0740, 0.0178, 0.0616]], device='cuda:0'), grad: tensor([[ 6.9709e-07, 0.0000e+00, 7.5158e-07, ..., 1.0580e-06, 1.7881e-07, -1.7136e-07], [ 5.7407e-06, 0.0000e+00, 4.0680e-06, ..., -7.0743e-06, 9.8534e-07, 2.0061e-06], [ 3.5064e-07, 0.0000e+00, -4.2886e-05, ..., -5.2992e-07, 3.9628e-07, 7.0920e-07], ..., [ 3.2652e-06, 0.0000e+00, 1.8850e-06, ..., 2.7567e-06, -2.5518e-06, 1.3635e-06], [ 6.1654e-07, 0.0000e+00, 1.6451e-05, ..., 4.1462e-06, 6.8545e-07, 2.9895e-06], [ 7.6294e-05, 0.0000e+00, 6.5984e-07, ..., 3.1054e-05, 6.0489e-07, 1.7941e-05]], device='cuda:0') Epoch 95, bias, value: tensor([-3.3316e-02, -3.1589e-02, 1.4672e-02, 3.1611e-02, -2.4567e-02, 8.4197e-03, -1.3645e-02, 8.8930e-03, 1.9047e-02, -8.8583e-05], device='cuda:0'), grad: tensor([ 4.0047e-06, 3.8669e-06, -6.3956e-05, 1.3478e-05, -1.7130e-04, 1.2413e-05, 8.6194e-07, 1.0163e-05, 3.6269e-05, 1.5426e-04], device='cuda:0') 100 0.0001 changing lr epoch 94, time 214.09, cls_loss 0.0030 cls_loss_mapping 0.0096 cls_loss_causal 0.5918 re_mapping 0.0079 re_causal 0.0251 /// teacc 98.93 lr 0.00010000 Epoch 96, weight, value: tensor([[-0.0291, 0.0227, -0.0049, ..., -0.0513, -0.0450, 0.0513], [-0.0226, -0.0102, -0.0487, ..., 0.1055, -0.0538, -0.0389], [-0.0130, -0.0226, 0.1418, ..., -0.0700, -0.0930, -0.0532], ..., [-0.0345, -0.0445, -0.0092, ..., -0.0005, 0.0673, -0.0213], [-0.0503, -0.0441, -0.0281, ..., -0.0738, 0.0154, -0.0804], [-0.1100, -0.0295, -0.0879, ..., -0.0745, 0.0175, 0.0633]], device='cuda:0'), grad: tensor([[ 2.4233e-06, 0.0000e+00, -5.6960e-06, ..., 3.8631e-06, 4.7171e-07, -3.6880e-07], [ 2.7165e-05, 0.0000e+00, 1.4892e-06, ..., -2.5019e-05, 8.5821e-07, -8.2925e-06], [ 3.6489e-06, 0.0000e+00, -1.9707e-06, ..., 2.0936e-06, 1.0217e-06, 2.1588e-06], ..., [ 4.0025e-05, 0.0000e+00, 3.9190e-06, ..., 1.2711e-05, -7.2308e-06, 3.1441e-06], [ 1.2383e-05, 0.0000e+00, -2.9817e-05, ..., 5.4277e-06, -5.0701e-06, -1.4350e-05], [ 3.9369e-05, 0.0000e+00, 1.9982e-05, ..., 6.1803e-06, 6.9067e-06, 3.2354e-06]], device='cuda:0') Epoch 96, bias, value: tensor([-0.0346, -0.0310, 0.0141, 0.0306, -0.0250, 0.0083, -0.0133, 0.0094, 0.0198, 0.0004], device='cuda:0'), grad: tensor([ 1.3694e-05, -3.8683e-05, 1.2577e-05, 1.2882e-05, -1.4889e-04, 3.9607e-05, 2.2709e-05, 8.9586e-05, -1.3006e-04, 1.2660e-04], device='cuda:0') 100 0.0001 changing lr epoch 95, time 214.58, cls_loss 0.0025 cls_loss_mapping 0.0081 cls_loss_causal 0.5397 re_mapping 0.0082 re_causal 0.0256 /// teacc 99.01 lr 0.00010000 Epoch 97, weight, value: tensor([[-0.0295, 0.0226, -0.0043, ..., -0.0515, -0.0454, 0.0516], [-0.0236, -0.0102, -0.0492, ..., 0.1058, -0.0540, -0.0387], [-0.0119, -0.0223, 0.1429, ..., -0.0696, -0.0931, -0.0534], ..., [-0.0353, -0.0452, -0.0096, ..., -0.0007, 0.0673, -0.0223], [-0.0507, -0.0443, -0.0284, ..., -0.0739, 0.0149, -0.0815], [-0.1107, -0.0296, -0.0883, ..., -0.0751, 0.0175, 0.0637]], device='cuda:0'), grad: tensor([[ 3.8324e-07, 4.1910e-09, 8.5384e-06, ..., 6.2166e-07, 6.7521e-07, 6.7474e-07], [ 1.1381e-06, 4.6566e-10, 7.8231e-07, ..., -7.3239e-06, 4.6846e-07, 3.9069e-07], [ 5.2014e-07, 4.6566e-10, -1.9595e-05, ..., 8.2003e-07, 1.8384e-06, 1.5572e-06], ..., [ 2.0824e-06, 3.2596e-09, 2.8647e-06, ..., 9.3179e-07, 1.2293e-06, 3.1050e-06], [ 7.2457e-07, 1.8626e-09, -6.0111e-05, ..., 4.6678e-06, -7.6771e-05, -7.8559e-05], [ 5.2005e-06, 1.5367e-08, 5.5581e-05, ..., 1.2256e-06, 6.7711e-05, 6.7413e-05]], device='cuda:0') Epoch 97, bias, value: tensor([-0.0346, -0.0312, 0.0148, 0.0316, -0.0248, 0.0070, -0.0130, 0.0088, 0.0197, 0.0003], device='cuda:0'), grad: tensor([ 1.3635e-05, -9.5069e-06, -9.4920e-06, 1.1861e-05, -1.2033e-05, 3.2902e-05, -3.5074e-06, 1.8165e-05, -4.6444e-04, 4.2295e-04], device='cuda:0') 100 0.0001 changing lr epoch 96, time 214.90, cls_loss 0.0022 cls_loss_mapping 0.0077 cls_loss_causal 0.5657 re_mapping 0.0077 re_causal 0.0247 /// teacc 99.03 lr 0.00010000 Epoch 98, weight, value: tensor([[-0.0298, 0.0225, -0.0035, ..., -0.0517, -0.0457, 0.0520], [-0.0244, -0.0102, -0.0499, ..., 0.1062, -0.0545, -0.0386], [-0.0111, -0.0223, 0.1435, ..., -0.0696, -0.0938, -0.0541], ..., [-0.0361, -0.0454, -0.0091, ..., -0.0008, 0.0685, -0.0221], [-0.0510, -0.0446, -0.0286, ..., -0.0743, 0.0145, -0.0819], [-0.1113, -0.0296, -0.0888, ..., -0.0754, 0.0167, 0.0640]], device='cuda:0'), grad: tensor([[ 2.5379e-07, 0.0000e+00, -3.2276e-05, ..., 2.3982e-07, 1.3122e-06, -3.6538e-05], [ 9.1828e-07, 0.0000e+00, 1.1874e-06, ..., -3.8631e-06, 1.3644e-06, 1.5022e-06], [ 5.7416e-07, 0.0000e+00, -3.9041e-06, ..., 5.4715e-07, 1.3169e-06, 3.6787e-06], ..., [-7.0920e-07, 0.0000e+00, 4.4256e-06, ..., 5.1083e-07, -2.1234e-06, 1.0192e-05], [ 5.5227e-07, 0.0000e+00, 8.9407e-08, ..., 1.6280e-06, 2.0973e-06, 6.3442e-06], [ 1.5823e-06, 0.0000e+00, 2.1994e-05, ..., 5.2853e-07, -7.6368e-06, -9.5218e-06]], device='cuda:0') Epoch 98, bias, value: tensor([-0.0345, -0.0311, 0.0149, 0.0315, -0.0250, 0.0069, -0.0126, 0.0093, 0.0195, 0.0003], device='cuda:0'), grad: tensor([-4.3988e-05, -1.1064e-06, 5.0515e-06, 2.8640e-05, 5.4628e-05, -1.6487e-04, 1.3781e-04, 2.0087e-05, 2.4922e-06, -3.8803e-05], device='cuda:0') 100 0.0001 changing lr epoch 97, time 214.80, cls_loss 0.0025 cls_loss_mapping 0.0077 cls_loss_causal 0.5657 re_mapping 0.0079 re_causal 0.0240 /// teacc 98.97 lr 0.00010000 Epoch 99, weight, value: tensor([[-0.0304, 0.0225, -0.0033, ..., -0.0516, -0.0460, 0.0524], [-0.0251, -0.0102, -0.0502, ..., 0.1067, -0.0549, -0.0386], [-0.0112, -0.0222, 0.1439, ..., -0.0700, -0.0944, -0.0544], ..., [-0.0370, -0.0454, -0.0086, ..., -0.0010, 0.0695, -0.0227], [-0.0510, -0.0447, -0.0289, ..., -0.0752, 0.0138, -0.0830], [-0.1119, -0.0295, -0.0890, ..., -0.0756, 0.0165, 0.0646]], device='cuda:0'), grad: tensor([[ 4.8243e-07, 2.4820e-07, 1.8582e-05, ..., 8.1882e-06, 2.6487e-06, 9.6112e-06], [ 6.0424e-06, 8.8476e-09, 1.9986e-06, ..., -3.2615e-06, 6.2492e-07, 9.4809e-07], [ 1.8906e-07, -3.5763e-07, -9.2089e-05, ..., 1.6484e-06, 6.2119e-07, 8.2189e-07], ..., [ 4.4797e-07, 9.7323e-08, 9.1419e-06, ..., 3.8818e-06, -9.2238e-06, -2.0443e-07], [ 2.7008e-06, 7.4506e-08, 4.4465e-05, ..., 9.8944e-06, 2.6599e-06, 1.3441e-05], [ 9.9558e-07, -9.9838e-07, 3.8221e-06, ..., 9.6206e-07, 4.0233e-06, -8.4564e-06]], device='cuda:0') Epoch 99, bias, value: tensor([-0.0343, -0.0307, 0.0146, 0.0312, -0.0250, 0.0071, -0.0130, 0.0095, 0.0191, 0.0004], device='cuda:0'), grad: tensor([ 5.8770e-05, 4.6045e-06, -1.1247e-04, 2.4900e-05, -2.4065e-05, 3.4660e-05, -9.2089e-05, 1.1258e-05, 9.1672e-05, 2.6785e-06], device='cuda:0') 100 0.0001 changing lr epoch 98, time 214.26, cls_loss 0.0028 cls_loss_mapping 0.0075 cls_loss_causal 0.5596 re_mapping 0.0077 re_causal 0.0241 /// teacc 98.99 lr 0.00010000 Epoch 100, weight, value: tensor([[-0.0307, 0.0225, -0.0051, ..., -0.0517, -0.0465, 0.0508], [-0.0258, -0.0102, -0.0507, ..., 0.1070, -0.0552, -0.0387], [-0.0111, -0.0220, 0.1436, ..., -0.0703, -0.0965, -0.0550], ..., [-0.0373, -0.0455, -0.0088, ..., -0.0008, 0.0702, -0.0232], [-0.0510, -0.0449, -0.0293, ..., -0.0756, 0.0136, -0.0834], [-0.1123, -0.0291, -0.0874, ..., -0.0760, 0.0163, 0.0668]], device='cuda:0'), grad: tensor([[ 6.6170e-07, 0.0000e+00, -3.9767e-07, ..., 7.4226e-07, 3.9488e-07, 5.4389e-07], [ 2.7921e-06, 0.0000e+00, 6.1886e-07, ..., 1.1856e-06, 1.4501e-06, 6.2399e-07], [ 1.5479e-06, 0.0000e+00, -1.6065e-06, ..., 9.0571e-07, 1.0468e-06, 9.5740e-07], ..., [ 1.3411e-06, 0.0000e+00, -5.3048e-06, ..., 5.8487e-07, -1.7434e-05, 1.5413e-06], [ 8.3493e-07, 0.0000e+00, 2.0042e-06, ..., 6.7567e-07, 3.8296e-06, 6.2659e-06], [ 4.3400e-06, 0.0000e+00, 1.2964e-06, ..., 1.1427e-06, 2.8349e-06, -2.6710e-06]], device='cuda:0') Epoch 100, bias, value: tensor([-0.0361, -0.0308, 0.0140, 0.0322, -0.0251, 0.0066, -0.0129, 0.0098, 0.0190, 0.0017], device='cuda:0'), grad: tensor([ 6.7092e-06, 9.4771e-06, 8.0243e-06, -1.0455e-04, -1.9804e-05, 5.8085e-05, 6.5230e-06, -1.5274e-05, 3.6269e-05, 1.4454e-05], device='cuda:0') 100 0.0001 changing lr epoch 99, time 214.68, cls_loss 0.0022 cls_loss_mapping 0.0073 cls_loss_causal 0.5828 re_mapping 0.0074 re_causal 0.0243 /// teacc 98.98 lr 0.00010000 Epoch 101, weight, value: tensor([[-0.0309, 0.0210, -0.0039, ..., -0.0518, -0.0474, 0.0511], [-0.0262, -0.0103, -0.0510, ..., 0.1075, -0.0554, -0.0390], [-0.0112, -0.0221, 0.1428, ..., -0.0706, -0.0977, -0.0558], ..., [-0.0380, -0.0447, -0.0080, ..., -0.0013, 0.0712, -0.0232], [-0.0512, -0.0451, -0.0295, ..., -0.0759, 0.0133, -0.0839], [-0.1129, -0.0294, -0.0880, ..., -0.0762, 0.0157, 0.0667]], device='cuda:0'), grad: tensor([[ 7.6229e-07, 0.0000e+00, 4.9956e-06, ..., 7.2597e-07, 2.4345e-06, 5.0068e-05], [ 1.6894e-06, 0.0000e+00, 1.2152e-05, ..., -8.4639e-06, 1.0699e-05, 1.1012e-05], [ 7.5391e-07, 0.0000e+00, 5.0217e-05, ..., 6.9244e-07, 4.4316e-05, 6.6906e-06], ..., [ 1.9986e-06, 0.0000e+00, 7.1228e-05, ..., 8.3772e-07, -5.3048e-05, 7.1144e-04], [ 1.7453e-06, 0.0000e+00, 8.4713e-06, ..., 6.1840e-06, 7.3649e-06, 9.1046e-06], [ 1.4916e-05, 0.0000e+00, -1.6570e-04, ..., 2.5183e-06, -1.6376e-05, -8.8263e-04]], device='cuda:0') Epoch 101, bias, value: tensor([-0.0360, -0.0306, 0.0130, 0.0327, -0.0249, 0.0066, -0.0131, 0.0103, 0.0189, 0.0012], device='cuda:0'), grad: tensor([ 8.7082e-05, 2.8670e-05, 1.0622e-04, 6.9797e-05, 5.9813e-05, 1.9103e-05, 1.4037e-05, 1.0824e-03, 4.5270e-05, -1.5135e-03], device='cuda:0') 100 0.0001 changing lr epoch 100, time 214.48, cls_loss 0.0024 cls_loss_mapping 0.0079 cls_loss_causal 0.5651 re_mapping 0.0072 re_causal 0.0226 /// teacc 99.06 lr 0.00010000 Epoch 102, weight, value: tensor([[-0.0319, 0.0211, -0.0036, ..., -0.0520, -0.0478, 0.0513], [-0.0267, -0.0103, -0.0515, ..., 0.1082, -0.0557, -0.0391], [-0.0107, -0.0222, 0.1431, ..., -0.0709, -0.0979, -0.0563], ..., [-0.0386, -0.0447, -0.0078, ..., -0.0017, 0.0717, -0.0241], [-0.0514, -0.0452, -0.0297, ..., -0.0768, 0.0132, -0.0844], [-0.1146, -0.0293, -0.0881, ..., -0.0764, 0.0153, 0.0671]], device='cuda:0'), grad: tensor([[ 3.9767e-07, 4.6566e-10, -3.2280e-06, ..., 6.7288e-07, 1.2126e-06, -2.5015e-06], [ 1.2582e-06, 9.3132e-10, 3.3667e-07, ..., 1.2107e-07, 1.1371e-06, 6.5891e-07], [ 4.1444e-07, 2.6077e-08, 1.8254e-06, ..., 6.0908e-07, 2.3805e-06, 1.4324e-06], ..., [ 4.6659e-07, 4.6566e-10, -4.3921e-06, ..., 3.3993e-07, -4.2319e-06, -1.5832e-06], [ 8.0513e-07, 1.3970e-09, 8.8010e-07, ..., 1.4026e-06, 8.8811e-06, 4.2357e-06], [ 4.9695e-06, 4.6566e-10, 4.5113e-06, ..., 2.5462e-06, 4.3735e-06, 1.7416e-06]], device='cuda:0') Epoch 102, bias, value: tensor([-0.0362, -0.0303, 0.0129, 0.0328, -0.0240, 0.0068, -0.0134, 0.0102, 0.0189, 0.0006], device='cuda:0'), grad: tensor([ 1.4976e-06, 4.8839e-06, 1.6004e-05, 4.2282e-06, -7.8753e-06, -8.3745e-05, 3.7760e-05, -5.0887e-06, 1.4573e-05, 1.7673e-05], device='cuda:0') 100 0.0001 changing lr epoch 101, time 214.56, cls_loss 0.0023 cls_loss_mapping 0.0075 cls_loss_causal 0.6185 re_mapping 0.0076 re_causal 0.0239 /// teacc 99.02 lr 0.00010000 Epoch 103, weight, value: tensor([[-0.0323, 0.0210, -0.0030, ..., -0.0521, -0.0481, 0.0515], [-0.0261, -0.0103, -0.0519, ..., 0.1089, -0.0560, -0.0392], [-0.0109, -0.0220, 0.1434, ..., -0.0713, -0.0981, -0.0567], ..., [-0.0392, -0.0447, -0.0072, ..., -0.0019, 0.0722, -0.0246], [-0.0522, -0.0453, -0.0300, ..., -0.0777, 0.0130, -0.0850], [-0.1168, -0.0292, -0.0884, ..., -0.0769, 0.0148, 0.0671]], device='cuda:0'), grad: tensor([[ 3.5204e-07, -1.5333e-05, -2.4319e-04, ..., 1.0598e-06, 9.1735e-07, -2.5177e-04], [ 1.5544e-06, 3.6787e-08, 1.4260e-05, ..., 7.0408e-07, 2.4308e-06, 2.0880e-06], [ 2.7893e-07, 7.7020e-07, -3.3617e-05, ..., 1.8440e-07, 1.0477e-06, 6.5267e-05], ..., [ 1.0617e-06, 3.6787e-08, 5.4359e-05, ..., -9.8534e-07, -1.1288e-05, 2.0247e-06], [ 1.6401e-06, 1.2545e-06, 6.7651e-05, ..., 8.1724e-07, 2.3358e-06, 5.6118e-05], [ 6.0610e-06, 9.1642e-06, 4.7326e-05, ..., 1.8999e-06, 5.6289e-06, 6.0201e-05]], device='cuda:0') Epoch 103, bias, value: tensor([-0.0361, -0.0300, 0.0127, 0.0327, -0.0233, 0.0071, -0.0129, 0.0108, 0.0184, -0.0004], device='cuda:0'), grad: tensor([-4.6301e-04, 4.5985e-05, -8.0585e-05, 9.6560e-05, 3.1795e-06, -1.1556e-05, 8.6367e-05, 1.0371e-04, 8.7261e-05, 1.3244e-04], device='cuda:0') 100 0.0001 changing lr epoch 102, time 214.60, cls_loss 0.0021 cls_loss_mapping 0.0064 cls_loss_causal 0.5883 re_mapping 0.0073 re_causal 0.0238 /// teacc 99.03 lr 0.00010000 Epoch 104, weight, value: tensor([[-0.0327, 0.0212, -0.0025, ..., -0.0523, -0.0483, 0.0517], [-0.0264, -0.0103, -0.0524, ..., 0.1091, -0.0562, -0.0394], [-0.0110, -0.0218, 0.1440, ..., -0.0716, -0.0981, -0.0571], ..., [-0.0400, -0.0447, -0.0074, ..., -0.0020, 0.0727, -0.0247], [-0.0524, -0.0454, -0.0298, ..., -0.0777, 0.0129, -0.0847], [-0.1171, -0.0293, -0.0893, ..., -0.0773, 0.0146, 0.0671]], device='cuda:0'), grad: tensor([[ 1.5087e-07, 0.0000e+00, 9.3551e-07, ..., 1.1632e-06, 1.3448e-06, -8.6473e-07], [ 5.3085e-08, 0.0000e+00, 1.4929e-06, ..., -1.3269e-05, 1.8002e-06, 3.2457e-07], [ 7.9628e-08, 0.0000e+00, -3.1423e-06, ..., 2.1905e-06, 3.9227e-06, 4.1537e-07], ..., [ 1.8626e-09, 0.0000e+00, -2.2531e-05, ..., 3.6489e-06, -3.1233e-05, 7.1190e-06], [ 2.1653e-07, 0.0000e+00, 1.8086e-06, ..., 2.9355e-06, 4.6417e-06, 1.7118e-06], [ 1.1176e-08, 0.0000e+00, 1.6049e-05, ..., 6.6077e-07, 1.7464e-05, -1.2137e-05]], device='cuda:0') Epoch 104, bias, value: tensor([-0.0361, -0.0303, 0.0129, 0.0325, -0.0235, 0.0070, -0.0124, 0.0109, 0.0191, -0.0010], device='cuda:0'), grad: tensor([ 7.3053e-06, -1.3642e-05, 1.1750e-05, 4.7415e-05, 9.4026e-06, -2.3946e-05, -3.3453e-06, -5.0515e-05, -1.6317e-05, 3.1739e-05], device='cuda:0') 100 0.0001 changing lr epoch 103, time 214.51, cls_loss 0.0018 cls_loss_mapping 0.0066 cls_loss_causal 0.5784 re_mapping 0.0078 re_causal 0.0238 /// teacc 99.11 lr 0.00010000 Epoch 105, weight, value: tensor([[-0.0331, 0.0212, -0.0018, ..., -0.0525, -0.0485, 0.0519], [-0.0265, -0.0104, -0.0529, ..., 0.1095, -0.0565, -0.0395], [-0.0111, -0.0218, 0.1444, ..., -0.0718, -0.0982, -0.0574], ..., [-0.0405, -0.0447, -0.0073, ..., -0.0022, 0.0732, -0.0252], [-0.0533, -0.0456, -0.0300, ..., -0.0781, 0.0125, -0.0859], [-0.1171, -0.0293, -0.0898, ..., -0.0776, 0.0144, 0.0679]], device='cuda:0'), grad: tensor([[ 1.4305e-06, 0.0000e+00, -4.4629e-06, ..., -8.0513e-07, -3.9767e-07, -1.0647e-05], [ 9.9931e-07, 0.0000e+00, 1.2815e-05, ..., 2.5809e-05, 4.4137e-05, 7.1600e-06], [ 1.8440e-07, 0.0000e+00, -2.2277e-05, ..., 9.2536e-06, 1.4283e-05, 1.6149e-06], ..., [ 1.8952e-07, 0.0000e+00, -1.1913e-05, ..., -4.4197e-05, -8.1658e-05, 1.7986e-05], [-8.1360e-06, 0.0000e+00, 3.7272e-06, ..., 8.5728e-07, -3.5223e-06, -2.5779e-06], [ 6.4299e-06, 0.0000e+00, 3.7588e-06, ..., 2.3562e-06, 6.9737e-06, -4.9770e-05]], device='cuda:0') Epoch 105, bias, value: tensor([-0.0360, -0.0303, 0.0129, 0.0324, -0.0237, 0.0072, -0.0122, 0.0109, 0.0186, -0.0005], device='cuda:0'), grad: tensor([-4.2468e-06, 3.2783e-04, 8.4758e-05, 9.3639e-05, 9.3818e-05, 3.6150e-05, -1.8673e-06, -5.4264e-04, -2.3454e-05, -6.3956e-05], device='cuda:0') 100 0.0001 changing lr epoch 104, time 214.61, cls_loss 0.0017 cls_loss_mapping 0.0058 cls_loss_causal 0.5377 re_mapping 0.0079 re_causal 0.0233 /// teacc 99.07 lr 0.00010000 Epoch 106, weight, value: tensor([[-0.0340, 0.0212, -0.0010, ..., -0.0530, -0.0491, 0.0522], [-0.0257, -0.0104, -0.0533, ..., 0.1101, -0.0569, -0.0396], [-0.0113, -0.0218, 0.1447, ..., -0.0721, -0.0984, -0.0577], ..., [-0.0410, -0.0446, -0.0071, ..., -0.0024, 0.0741, -0.0254], [-0.0541, -0.0457, -0.0301, ..., -0.0785, 0.0123, -0.0864], [-0.1177, -0.0292, -0.0906, ..., -0.0781, 0.0141, 0.0680]], device='cuda:0'), grad: tensor([[ 1.5507e-07, 3.4459e-08, 1.0021e-05, ..., 9.4064e-08, 1.6354e-06, 2.2296e-06], [ 1.4715e-07, 1.9558e-08, 3.2671e-06, ..., -1.0449e-06, 1.6419e-06, 1.0449e-06], [ 5.0291e-08, -1.1176e-07, -6.7663e-04, ..., 7.5437e-08, 2.4855e-05, -8.1956e-05], ..., [ 7.8231e-08, 6.0536e-09, 1.0893e-05, ..., 1.9511e-07, 1.8515e-06, 3.1255e-06], [ 6.8452e-08, 1.5367e-08, -7.4320e-06, ..., 4.2608e-07, -4.7535e-05, -2.0519e-05], [ 2.5192e-07, 4.6566e-10, 6.2656e-04, ..., 1.3737e-07, 4.3996e-06, 9.0420e-05]], device='cuda:0') Epoch 106, bias, value: tensor([-0.0360, -0.0302, 0.0130, 0.0323, -0.0237, 0.0071, -0.0116, 0.0112, 0.0185, -0.0008], device='cuda:0'), grad: tensor([ 2.4170e-05, 1.5453e-05, -4.0889e-04, 2.3410e-05, 1.5825e-05, 9.5427e-05, 1.7107e-05, 4.8757e-05, -4.6945e-04, 6.3848e-04], device='cuda:0') 100 0.0001 changing lr epoch 105, time 214.30, cls_loss 0.0025 cls_loss_mapping 0.0065 cls_loss_causal 0.5995 re_mapping 0.0074 re_causal 0.0236 /// teacc 98.91 lr 0.00010000 Epoch 107, weight, value: tensor([[-0.0344, 0.0212, -0.0008, ..., -0.0532, -0.0493, 0.0524], [-0.0265, -0.0104, -0.0554, ..., 0.1103, -0.0579, -0.0396], [-0.0099, -0.0218, 0.1457, ..., -0.0721, -0.0985, -0.0577], ..., [-0.0411, -0.0447, -0.0066, ..., -0.0017, 0.0752, -0.0260], [-0.0546, -0.0457, -0.0302, ..., -0.0791, 0.0118, -0.0869], [-0.1175, -0.0291, -0.0912, ..., -0.0785, 0.0137, 0.0686]], device='cuda:0'), grad: tensor([[ 1.1139e-06, 0.0000e+00, 3.3110e-05, ..., 1.5544e-06, 4.1753e-05, 1.6034e-05], [ 2.6841e-06, 0.0000e+00, 6.3255e-06, ..., -4.6976e-06, 7.0520e-06, 3.1404e-06], [ 9.9838e-06, 0.0000e+00, 4.2617e-05, ..., 3.2187e-06, 1.0937e-05, 3.3587e-05], ..., [ 3.5726e-06, 0.0000e+00, 8.8573e-05, ..., 1.3262e-06, -1.3041e-04, 1.1134e-04], [-1.1072e-05, 0.0000e+00, 1.1191e-05, ..., 1.4845e-06, 5.4426e-06, 7.7188e-06], [ 3.5800e-06, 0.0000e+00, -2.5105e-04, ..., 6.5332e-07, 2.2084e-05, -2.1529e-04]], device='cuda:0') Epoch 107, bias, value: tensor([-0.0360, -0.0310, 0.0136, 0.0319, -0.0247, 0.0079, -0.0121, 0.0122, 0.0185, -0.0006], device='cuda:0'), grad: tensor([ 1.0633e-04, 1.4029e-05, 2.2495e-04, 7.5340e-05, 1.2517e-05, 6.3479e-05, 2.5302e-05, 3.8952e-05, -1.6856e-04, -3.9291e-04], device='cuda:0') 100 0.0001 changing lr epoch 106, time 214.41, cls_loss 0.0034 cls_loss_mapping 0.0083 cls_loss_causal 0.5666 re_mapping 0.0070 re_causal 0.0231 /// teacc 99.04 lr 0.00010000 Epoch 108, weight, value: tensor([[-0.0353, 0.0226, -0.0007, ..., -0.0536, -0.0500, 0.0525], [-0.0263, -0.0104, -0.0556, ..., 0.1110, -0.0582, -0.0397], [-0.0102, -0.0217, 0.1464, ..., -0.0727, -0.0988, -0.0583], ..., [-0.0419, -0.0472, -0.0088, ..., -0.0020, 0.0742, -0.0294], [-0.0549, -0.0462, -0.0306, ..., -0.0795, 0.0112, -0.0876], [-0.1175, -0.0304, -0.0900, ..., -0.0789, 0.0137, 0.0700]], device='cuda:0'), grad: tensor([[ 1.8161e-08, 0.0000e+00, 2.7612e-05, ..., 1.3504e-08, 2.6403e-07, 1.1921e-07], [ 3.1199e-08, 0.0000e+00, 6.3926e-06, ..., -1.0896e-07, 3.5837e-06, 1.6624e-07], [ 9.4064e-08, 0.0000e+00, -1.2302e-04, ..., 1.2992e-07, 1.8114e-06, 1.3039e-07], ..., [ 1.0710e-08, 0.0000e+00, -5.8413e-06, ..., 1.0245e-08, -1.7583e-05, 4.1677e-07], [ 5.4482e-08, 0.0000e+00, 1.2249e-05, ..., 1.2666e-07, 1.2733e-05, 1.3284e-05], [ 1.0524e-07, 0.0000e+00, 3.1982e-06, ..., 1.7695e-08, 3.5502e-06, -4.9658e-06]], device='cuda:0') Epoch 108, bias, value: tensor([-0.0361, -0.0307, 0.0136, 0.0336, -0.0253, 0.0077, -0.0116, 0.0098, 0.0182, 0.0004], device='cuda:0'), grad: tensor([ 4.6939e-05, 2.8864e-05, -1.8680e-04, 1.3196e-04, 9.5069e-06, -2.0057e-05, 1.3158e-05, -8.3327e-05, 4.8995e-05, 1.0632e-05], device='cuda:0') 100 0.0001 changing lr epoch 107, time 214.36, cls_loss 0.0021 cls_loss_mapping 0.0063 cls_loss_causal 0.5247 re_mapping 0.0070 re_causal 0.0218 /// teacc 99.04 lr 0.00010000 Epoch 109, weight, value: tensor([[-0.0359, 0.0232, -0.0002, ..., -0.0537, -0.0502, 0.0526], [-0.0266, -0.0105, -0.0560, ..., 0.1112, -0.0586, -0.0398], [-0.0109, -0.0217, 0.1468, ..., -0.0734, -0.0990, -0.0587], ..., [-0.0409, -0.0478, -0.0082, ..., -0.0020, 0.0744, -0.0298], [-0.0552, -0.0464, -0.0308, ..., -0.0798, 0.0110, -0.0881], [-0.1181, -0.0309, -0.0905, ..., -0.0793, 0.0131, 0.0704]], device='cuda:0'), grad: tensor([[ 4.2431e-06, 0.0000e+00, 2.2557e-06, ..., 1.0477e-07, -4.0606e-06, -1.1750e-05], [ 3.6228e-07, 0.0000e+00, 8.2776e-06, ..., -1.1297e-06, 1.5302e-06, 1.6317e-06], [ 9.0618e-07, 0.0000e+00, -5.5581e-05, ..., 2.3609e-07, 8.6008e-07, 1.4091e-06], ..., [ 2.6450e-07, 0.0000e+00, -6.8963e-05, ..., 7.6834e-08, -2.0936e-05, -1.6779e-05], [-1.2539e-05, 0.0000e+00, 1.9088e-05, ..., 2.5611e-07, 1.0226e-06, -3.8333e-06], [-1.1079e-05, 0.0000e+00, 6.3241e-05, ..., 5.7742e-08, 1.7613e-05, -1.6600e-05]], device='cuda:0') Epoch 109, bias, value: tensor([-3.6206e-02, -3.0941e-02, 1.3253e-02, 3.3824e-02, -2.6164e-02, 7.6395e-03, -1.1116e-02, 1.0606e-02, 1.8092e-02, 3.6727e-05], device='cuda:0'), grad: tensor([ 7.9535e-07, 1.7911e-05, -7.5161e-05, 4.3571e-05, 6.3777e-05, 1.1355e-05, 1.9655e-05, -1.7166e-04, -2.6673e-05, 1.1623e-04], device='cuda:0') 100 0.0001 changing lr epoch 108, time 214.51, cls_loss 0.0019 cls_loss_mapping 0.0062 cls_loss_causal 0.5641 re_mapping 0.0073 re_causal 0.0227 /// teacc 99.04 lr 0.00010000 Epoch 110, weight, value: tensor([[-0.0368, 0.0230, 0.0002, ..., -0.0537, -0.0505, 0.0527], [-0.0270, -0.0105, -0.0557, ..., 0.1119, -0.0587, -0.0401], [-0.0113, -0.0217, 0.1473, ..., -0.0740, -0.0992, -0.0590], ..., [-0.0422, -0.0478, -0.0083, ..., -0.0025, 0.0745, -0.0300], [-0.0547, -0.0466, -0.0309, ..., -0.0801, 0.0111, -0.0884], [-0.1189, -0.0311, -0.0907, ..., -0.0796, 0.0127, 0.0707]], device='cuda:0'), grad: tensor([[ 3.5902e-07, 6.9849e-10, -9.3831e-07, ..., 3.4226e-07, 4.6380e-07, 2.6776e-07], [ 2.7032e-07, 1.1642e-09, 1.3784e-06, ..., -8.1398e-07, 6.3982e-07, 4.6752e-07], [ 3.1944e-07, 1.1642e-09, -1.4827e-05, ..., 3.8301e-07, 9.3086e-07, 1.1884e-06], ..., [ 2.5379e-08, 3.2596e-09, 5.3644e-06, ..., 1.4761e-07, -3.9674e-06, 6.3796e-08], [ 5.0059e-08, 1.6298e-09, 1.3923e-06, ..., 6.7288e-07, 5.2042e-06, 4.4070e-06], [-5.9465e-07, 3.2596e-09, 1.3663e-06, ..., 7.5204e-08, 1.1306e-06, -9.1940e-06]], device='cuda:0') Epoch 110, bias, value: tensor([-0.0363, -0.0304, 0.0132, 0.0338, -0.0257, 0.0077, -0.0112, 0.0103, 0.0182, -0.0003], device='cuda:0'), grad: tensor([ 2.0768e-06, 2.3358e-06, -1.0245e-05, 1.0408e-05, 4.9397e-06, -1.1712e-05, 1.5702e-06, 8.6892e-07, 1.0766e-05, -1.1079e-05], device='cuda:0') 100 0.0001 changing lr epoch 109, time 214.37, cls_loss 0.0021 cls_loss_mapping 0.0065 cls_loss_causal 0.5559 re_mapping 0.0074 re_causal 0.0226 /// teacc 99.03 lr 0.00010000 Epoch 111, weight, value: tensor([[-0.0379, 0.0230, 0.0008, ..., -0.0539, -0.0510, 0.0531], [-0.0256, -0.0105, -0.0561, ..., 0.1128, -0.0591, -0.0402], [-0.0117, -0.0217, 0.1479, ..., -0.0743, -0.0994, -0.0594], ..., [-0.0425, -0.0478, -0.0079, ..., -0.0026, 0.0751, -0.0302], [-0.0551, -0.0473, -0.0312, ..., -0.0808, 0.0109, -0.0889], [-0.1212, -0.0314, -0.0915, ..., -0.0798, 0.0119, 0.0707]], device='cuda:0'), grad: tensor([[ 2.1886e-07, 0.0000e+00, 5.8748e-06, ..., 8.1444e-07, 2.1141e-06, -5.1921e-08], [ 6.5705e-07, 0.0000e+00, 4.2796e-05, ..., -4.0904e-06, 2.8387e-06, 8.9733e-07], [ 5.3411e-07, 0.0000e+00, -1.1307e-04, ..., 1.2545e-06, 2.0619e-06, 6.1700e-07], ..., [ 4.8755e-07, 0.0000e+00, 2.4170e-05, ..., 1.4296e-06, -1.1176e-05, 1.0086e-06], [ 9.0338e-07, 0.0000e+00, 2.8551e-05, ..., 3.0473e-06, 1.1064e-05, 4.8019e-06], [-1.7630e-06, 0.0000e+00, 1.0049e-06, ..., 4.7777e-07, 2.7157e-06, -9.3505e-06]], device='cuda:0') Epoch 111, bias, value: tensor([-0.0362, -0.0300, 0.0132, 0.0336, -0.0248, 0.0080, -0.0118, 0.0107, 0.0180, -0.0014], device='cuda:0'), grad: tensor([ 1.9789e-05, 8.7976e-05, -2.3341e-04, 2.8729e-05, 1.8016e-05, -7.2539e-05, 2.6554e-05, 4.1544e-05, 8.7261e-05, -3.8855e-06], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 110---------------------------------------------------- epoch 110, time 230.57, cls_loss 0.0027 cls_loss_mapping 0.0064 cls_loss_causal 0.5615 re_mapping 0.0071 re_causal 0.0219 /// teacc 99.14 lr 0.00010000 Epoch 112, weight, value: tensor([[-0.0384, 0.0240, 0.0022, ..., -0.0539, -0.0497, 0.0530], [-0.0271, -0.0105, -0.0570, ..., 0.1128, -0.0595, -0.0404], [-0.0118, -0.0216, 0.1486, ..., -0.0745, -0.0996, -0.0602], ..., [-0.0436, -0.0478, -0.0079, ..., -0.0028, 0.0756, -0.0307], [-0.0556, -0.0475, -0.0313, ..., -0.0813, 0.0104, -0.0894], [-0.1218, -0.0317, -0.0919, ..., -0.0800, 0.0118, 0.0725]], device='cuda:0'), grad: tensor([[ 1.3737e-07, 0.0000e+00, 1.1059e-07, ..., 1.6182e-07, 5.3924e-07, 2.1188e-08], [ 3.3248e-07, 0.0000e+00, 1.2226e-05, ..., -1.1232e-06, 1.8299e-05, 2.1188e-07], [ 1.9255e-07, 0.0000e+00, -1.1828e-06, ..., 1.9721e-07, 8.7777e-07, 1.9255e-07], ..., [ 1.0692e-06, 0.0000e+00, -1.7941e-05, ..., 4.1886e-07, -3.1322e-05, -1.1977e-06], [ 1.1479e-07, 0.0000e+00, 7.4785e-07, ..., 3.0873e-07, 1.6838e-06, 1.6773e-06], [-4.7917e-07, 0.0000e+00, 2.5779e-06, ..., 8.7079e-08, 5.4277e-06, -3.2373e-06]], device='cuda:0') Epoch 112, bias, value: tensor([-0.0359, -0.0304, 0.0134, 0.0333, -0.0244, 0.0072, -0.0114, 0.0107, 0.0179, -0.0007], device='cuda:0'), grad: tensor([ 2.3283e-06, 5.3197e-05, 1.2200e-06, 7.1637e-06, 5.2974e-06, -4.6901e-06, 1.2489e-06, -7.8917e-05, 8.2254e-06, 4.8056e-06], device='cuda:0') 100 0.0001 changing lr epoch 111, time 214.79, cls_loss 0.0019 cls_loss_mapping 0.0058 cls_loss_causal 0.5630 re_mapping 0.0069 re_causal 0.0214 /// teacc 98.95 lr 0.00010000 Epoch 113, weight, value: tensor([[-0.0391, 0.0240, 0.0036, ..., -0.0535, -0.0496, 0.0536], [-0.0281, -0.0105, -0.0575, ..., 0.1133, -0.0601, -0.0405], [-0.0117, -0.0215, 0.1493, ..., -0.0747, -0.0997, -0.0611], ..., [-0.0443, -0.0478, -0.0078, ..., -0.0031, 0.0760, -0.0309], [-0.0555, -0.0476, -0.0319, ..., -0.0820, 0.0102, -0.0898], [-0.1220, -0.0317, -0.0925, ..., -0.0807, 0.0115, 0.0727]], device='cuda:0'), grad: tensor([[ 1.0774e-05, 0.0000e+00, 3.6694e-06, ..., 4.8708e-07, 3.5856e-07, -2.6543e-08], [ 1.0701e-06, 0.0000e+00, 2.6211e-05, ..., -8.0001e-07, 1.3020e-06, 3.3225e-07], [ 2.9523e-06, 0.0000e+00, -3.1590e-04, ..., -4.6305e-06, 1.7667e-06, 1.2200e-07], ..., [ 7.6322e-07, 0.0000e+00, -3.6974e-06, ..., 2.0233e-07, -6.8285e-06, 1.1153e-07], [-1.9580e-05, 0.0000e+00, 2.6393e-04, ..., 4.8243e-06, 9.5926e-07, 9.3319e-07], [ 1.3918e-05, 0.0000e+00, 6.4075e-06, ..., 1.3364e-07, 2.0806e-06, -5.5842e-06]], device='cuda:0') Epoch 113, bias, value: tensor([-0.0351, -0.0306, 0.0137, 0.0331, -0.0246, 0.0068, -0.0115, 0.0109, 0.0177, -0.0009], device='cuda:0'), grad: tensor([ 5.6446e-05, 4.4674e-05, -4.9734e-04, 2.4930e-05, 3.4943e-06, 2.6799e-07, 1.0759e-05, -8.5831e-06, 3.4237e-04, 2.3752e-05], device='cuda:0') 100 0.0001 changing lr epoch 112, time 214.53, cls_loss 0.0018 cls_loss_mapping 0.0053 cls_loss_causal 0.5786 re_mapping 0.0068 re_causal 0.0226 /// teacc 99.09 lr 0.00010000 Epoch 114, weight, value: tensor([[-0.0397, 0.0240, 0.0038, ..., -0.0537, -0.0500, 0.0537], [-0.0286, -0.0106, -0.0580, ..., 0.1138, -0.0605, -0.0405], [-0.0115, -0.0215, 0.1500, ..., -0.0751, -0.0998, -0.0615], ..., [-0.0444, -0.0478, -0.0076, ..., -0.0035, 0.0763, -0.0313], [-0.0557, -0.0476, -0.0324, ..., -0.0818, 0.0100, -0.0902], [-0.1219, -0.0317, -0.0929, ..., -0.0808, 0.0112, 0.0734]], device='cuda:0'), grad: tensor([[ 8.6846e-07, -8.6846e-08, -1.6168e-05, ..., 7.7486e-07, 5.2946e-07, -3.6448e-05], [ 2.0340e-06, 2.3283e-10, 5.7742e-06, ..., -1.3495e-06, 4.7544e-07, 4.4354e-07], [ 1.4797e-05, 1.6298e-09, -8.6606e-05, ..., 2.2184e-06, 1.8533e-07, 1.1083e-06], ..., [ 9.1176e-07, 4.6566e-10, 3.7193e-05, ..., 2.2841e-07, -2.0489e-05, 1.0170e-06], [-2.5276e-06, 4.8894e-09, 1.9670e-05, ..., 1.6969e-06, 1.1306e-06, 4.0941e-06], [-7.5810e-06, 5.7509e-08, 1.3351e-05, ..., 1.1595e-07, 2.1011e-06, -5.0068e-05]], device='cuda:0') Epoch 114, bias, value: tensor([-0.0352, -0.0305, 0.0139, 0.0330, -0.0252, 0.0066, -0.0120, 0.0110, 0.0180, -0.0006], device='cuda:0'), grad: tensor([-5.2482e-05, 1.1146e-05, -1.0812e-04, 5.9992e-05, 6.7949e-05, -2.3134e-06, 2.2538e-06, 3.8952e-05, 1.4700e-05, -3.2157e-05], device='cuda:0') 100 0.0001 changing lr epoch 113, time 214.59, cls_loss 0.0020 cls_loss_mapping 0.0058 cls_loss_causal 0.5537 re_mapping 0.0068 re_causal 0.0216 /// teacc 99.07 lr 0.00010000 Epoch 115, weight, value: tensor([[-0.0394, 0.0239, 0.0046, ..., -0.0536, -0.0506, 0.0538], [-0.0291, -0.0106, -0.0601, ..., 0.1141, -0.0629, -0.0406], [-0.0115, -0.0215, 0.1504, ..., -0.0754, -0.1001, -0.0619], ..., [-0.0448, -0.0478, -0.0068, ..., -0.0033, 0.0774, -0.0314], [-0.0560, -0.0476, -0.0327, ..., -0.0826, 0.0090, -0.0909], [-0.1224, -0.0316, -0.0932, ..., -0.0814, 0.0110, 0.0739]], device='cuda:0'), grad: tensor([[ 3.1292e-07, 0.0000e+00, -1.0252e-05, ..., -2.0657e-06, 2.5402e-07, -1.2591e-05], [ 1.1716e-06, 0.0000e+00, 4.9779e-07, ..., -1.9111e-06, 3.2503e-07, 7.8091e-07], [ 2.6450e-07, 0.0000e+00, 9.7416e-07, ..., 2.9569e-07, 2.2538e-07, 2.1979e-06], ..., [ 3.9954e-07, 0.0000e+00, 5.7276e-08, ..., 1.4910e-06, 4.1723e-07, 5.9381e-06], [ 2.4145e-07, 0.0000e+00, 9.5647e-07, ..., 3.0012e-07, 1.7565e-06, 3.3174e-06], [ 8.0559e-07, 0.0000e+00, 2.7604e-06, ..., 6.7288e-07, -1.1362e-06, -8.9258e-06]], device='cuda:0') Epoch 115, bias, value: tensor([-0.0350, -0.0321, 0.0139, 0.0328, -0.0250, 0.0064, -0.0121, 0.0124, 0.0177, -0.0005], device='cuda:0'), grad: tensor([-2.2531e-05, -9.7230e-07, 3.7719e-06, 1.1481e-05, -1.1083e-06, -1.1832e-05, 1.2249e-05, 1.3143e-05, 7.4394e-06, -1.1660e-05], device='cuda:0') 100 0.0001 changing lr epoch 114, time 214.25, cls_loss 0.0018 cls_loss_mapping 0.0058 cls_loss_causal 0.5629 re_mapping 0.0066 re_causal 0.0214 /// teacc 99.12 lr 0.00010000 Epoch 116, weight, value: tensor([[-0.0406, 0.0239, 0.0047, ..., -0.0543, -0.0508, 0.0538], [-0.0298, -0.0106, -0.0607, ..., 0.1148, -0.0620, -0.0407], [-0.0116, -0.0215, 0.1512, ..., -0.0755, -0.1004, -0.0623], ..., [-0.0452, -0.0478, -0.0064, ..., -0.0046, 0.0775, -0.0317], [-0.0561, -0.0476, -0.0330, ..., -0.0830, 0.0088, -0.0914], [-0.1226, -0.0316, -0.0936, ..., -0.0817, 0.0106, 0.0741]], device='cuda:0'), grad: tensor([[ 2.2305e-07, 0.0000e+00, -1.4789e-06, ..., 1.0207e-06, 2.2370e-06, 5.3272e-07], [ 2.0023e-08, 0.0000e+00, 2.7865e-06, ..., -6.0387e-06, 2.1551e-06, 7.2084e-07], [ 3.3993e-08, 0.0000e+00, 1.5825e-05, ..., 2.6030e-07, 1.8775e-05, 1.8477e-06], ..., [ 2.4680e-08, 0.0000e+00, -3.6627e-05, ..., 2.3898e-06, -2.2069e-05, 1.2880e-06], [ 9.3132e-08, 0.0000e+00, 6.6198e-06, ..., 7.5158e-07, 4.5709e-06, 7.0110e-06], [ 8.6613e-08, 0.0000e+00, 3.5577e-06, ..., 5.2620e-07, 1.0431e-05, 6.2250e-06]], device='cuda:0') Epoch 116, bias, value: tensor([-0.0354, -0.0313, 0.0143, 0.0331, -0.0250, 0.0059, -0.0118, 0.0118, 0.0176, -0.0006], device='cuda:0'), grad: tensor([ 5.0776e-06, -3.0436e-06, 1.5333e-05, 8.4877e-05, 6.4373e-06, -1.2422e-04, 2.9672e-06, -3.0413e-05, -1.8314e-05, 6.1274e-05], device='cuda:0') 100 0.0001 changing lr epoch 115, time 214.21, cls_loss 0.0021 cls_loss_mapping 0.0059 cls_loss_causal 0.5699 re_mapping 0.0064 re_causal 0.0216 /// teacc 99.02 lr 0.00010000 Epoch 117, weight, value: tensor([[-0.0410, 0.0239, 0.0053, ..., -0.0544, -0.0513, 0.0540], [-0.0302, -0.0106, -0.0583, ..., 0.1163, -0.0625, -0.0409], [-0.0117, -0.0214, 0.1513, ..., -0.0780, -0.1005, -0.0626], ..., [-0.0467, -0.0478, -0.0067, ..., -0.0050, 0.0778, -0.0319], [-0.0564, -0.0477, -0.0335, ..., -0.0832, 0.0084, -0.0921], [-0.1229, -0.0316, -0.0944, ..., -0.0819, 0.0099, 0.0745]], device='cuda:0'), grad: tensor([[ 2.0256e-07, 0.0000e+00, -1.7090e-06, ..., 5.5414e-07, 4.2422e-07, -1.4035e-06], [ 7.4040e-08, 0.0000e+00, 4.5411e-06, ..., -2.6301e-06, 3.3844e-06, 3.1479e-07], [ 5.5414e-08, 0.0000e+00, -1.1615e-05, ..., 2.8405e-07, 5.6773e-06, 5.5972e-07], ..., [ 6.0536e-09, 0.0000e+00, -2.0176e-05, ..., 1.2591e-06, -2.0772e-05, 1.7416e-06], [ 7.0734e-07, 0.0000e+00, 1.4029e-05, ..., 1.2675e-06, 7.2569e-06, 2.3723e-05], [-7.4552e-07, 0.0000e+00, 3.2615e-06, ..., 6.1467e-08, 2.2594e-06, -2.6077e-05]], device='cuda:0') Epoch 117, bias, value: tensor([-0.0353, -0.0303, 0.0136, 0.0330, -0.0247, 0.0062, -0.0120, 0.0116, 0.0174, -0.0010], device='cuda:0'), grad: tensor([ 9.6858e-07, 3.4198e-06, -5.0999e-06, 2.0862e-06, 7.1004e-06, 4.5784e-06, -1.4231e-06, -3.8654e-05, 6.4194e-05, -3.7283e-05], device='cuda:0') 100 0.0001 changing lr epoch 116, time 214.31, cls_loss 0.0016 cls_loss_mapping 0.0060 cls_loss_causal 0.5764 re_mapping 0.0066 re_causal 0.0220 /// teacc 99.00 lr 0.00010000 Epoch 118, weight, value: tensor([[-0.0415, 0.0238, 0.0054, ..., -0.0546, -0.0515, 0.0541], [-0.0308, -0.0106, -0.0593, ..., 0.1166, -0.0626, -0.0409], [-0.0112, -0.0213, 0.1523, ..., -0.0778, -0.1007, -0.0629], ..., [-0.0474, -0.0478, -0.0067, ..., -0.0052, 0.0780, -0.0322], [-0.0568, -0.0477, -0.0338, ..., -0.0836, 0.0082, -0.0921], [-0.1238, -0.0315, -0.0946, ..., -0.0822, 0.0096, 0.0745]], device='cuda:0'), grad: tensor([[ 1.0105e-07, 0.0000e+00, 2.4587e-07, ..., 1.1185e-06, 3.4040e-07, 2.5127e-06], [ 4.6147e-07, 0.0000e+00, 5.8394e-07, ..., -1.1427e-06, 1.8524e-06, 3.6089e-07], [ 1.3271e-07, 0.0000e+00, -2.1746e-07, ..., 9.5647e-07, 5.1456e-07, 4.4284e-07], ..., [ 4.4797e-07, 0.0000e+00, -4.7609e-06, ..., 5.8208e-07, -1.2554e-05, 3.8091e-06], [ 3.2503e-07, 0.0000e+00, 8.9314e-07, ..., 9.8422e-06, 1.6559e-06, 8.6334e-07], [ 2.1048e-06, 0.0000e+00, 4.5309e-07, ..., 1.4668e-07, 3.1404e-06, -2.0206e-05]], device='cuda:0') Epoch 118, bias, value: tensor([-0.0354, -0.0306, 0.0146, 0.0330, -0.0242, 0.0065, -0.0122, 0.0114, 0.0175, -0.0016], device='cuda:0'), grad: tensor([ 8.7023e-06, 5.8562e-06, 3.5390e-06, 1.6809e-05, 1.8373e-05, 1.3173e-05, -3.6001e-05, -1.4238e-05, 2.1160e-05, -3.7432e-05], device='cuda:0') 100 0.0001 changing lr epoch 117, time 214.23, cls_loss 0.0024 cls_loss_mapping 0.0081 cls_loss_causal 0.5666 re_mapping 0.0070 re_causal 0.0209 /// teacc 99.08 lr 0.00010000 Epoch 119, weight, value: tensor([[-0.0418, 0.0242, 0.0057, ..., -0.0544, -0.0519, 0.0542], [-0.0308, -0.0106, -0.0598, ..., 0.1172, -0.0630, -0.0411], [-0.0113, -0.0213, 0.1536, ..., -0.0780, -0.1008, -0.0638], ..., [-0.0481, -0.0478, -0.0071, ..., -0.0053, 0.0784, -0.0324], [-0.0570, -0.0478, -0.0341, ..., -0.0839, 0.0079, -0.0931], [-0.1242, -0.0315, -0.0949, ..., -0.0825, 0.0095, 0.0754]], device='cuda:0'), grad: tensor([[ 4.5076e-07, 0.0000e+00, -1.7751e-06, ..., 1.0617e-06, 9.6206e-07, -9.1456e-07], [ 6.7567e-07, 0.0000e+00, 5.8711e-06, ..., -3.0641e-06, 5.4166e-06, 6.7316e-06], [ 6.4075e-07, 0.0000e+00, 4.7274e-06, ..., 1.7332e-06, 5.0776e-06, 2.3916e-06], ..., [ 1.2331e-06, 0.0000e+00, -2.0012e-05, ..., 9.0292e-07, -2.4110e-05, 1.0170e-05], [ 4.1956e-07, 0.0000e+00, 3.1870e-06, ..., 1.0300e-06, 1.6857e-06, 2.4121e-06], [ 1.2517e-06, 0.0000e+00, 7.5670e-07, ..., 1.3830e-07, 5.5917e-06, -2.4974e-05]], device='cuda:0') Epoch 119, bias, value: tensor([-0.0355, -0.0306, 0.0152, 0.0327, -0.0249, 0.0062, -0.0131, 0.0115, 0.0179, -0.0009], device='cuda:0'), grad: tensor([ 5.2378e-06, 3.6329e-05, 2.6435e-05, 2.7418e-05, 3.5334e-06, -5.2713e-06, -3.1888e-06, -5.4091e-05, 1.6108e-05, -5.2482e-05], device='cuda:0') 100 0.0001 changing lr epoch 118, time 214.40, cls_loss 0.0015 cls_loss_mapping 0.0048 cls_loss_causal 0.5370 re_mapping 0.0068 re_causal 0.0212 /// teacc 99.10 lr 0.00010000 Epoch 120, weight, value: tensor([[-0.0422, 0.0242, 0.0060, ..., -0.0545, -0.0522, 0.0543], [-0.0311, -0.0106, -0.0600, ..., 0.1175, -0.0631, -0.0411], [-0.0116, -0.0213, 0.1546, ..., -0.0783, -0.1014, -0.0624], ..., [-0.0488, -0.0478, -0.0064, ..., -0.0057, 0.0789, -0.0325], [-0.0573, -0.0478, -0.0342, ..., -0.0844, 0.0076, -0.0935], [-0.1245, -0.0315, -0.0971, ..., -0.0828, 0.0092, 0.0754]], device='cuda:0'), grad: tensor([[ 4.7823e-07, 0.0000e+00, 2.7958e-06, ..., 2.3562e-07, 3.5241e-06, 8.6147e-08], [ 3.2429e-06, 0.0000e+00, 2.3060e-06, ..., 1.2275e-06, 2.6748e-06, 3.2177e-07], [ 1.2750e-06, 0.0000e+00, 1.4836e-06, ..., 7.5763e-07, 2.2538e-06, 5.2527e-07], ..., [ 1.4231e-06, 0.0000e+00, -1.5318e-05, ..., 5.6112e-07, -1.8016e-05, -6.8080e-07], [ 7.2177e-07, 0.0000e+00, 8.4564e-07, ..., 3.4226e-07, 9.7696e-07, 2.4354e-07], [ 2.0191e-06, 0.0000e+00, 1.9856e-06, ..., 4.7358e-07, 2.2165e-06, 3.1805e-07]], device='cuda:0') Epoch 120, bias, value: tensor([-0.0355, -0.0305, 0.0158, 0.0324, -0.0247, 0.0064, -0.0129, 0.0117, 0.0179, -0.0016], device='cuda:0'), grad: tensor([ 6.5938e-06, 9.4920e-06, 8.7321e-06, 2.7269e-06, -2.5854e-05, 1.3612e-05, 1.6615e-05, -2.5630e-05, -1.3955e-05, 7.6741e-06], device='cuda:0') 100 0.0001 changing lr epoch 119, time 214.51, cls_loss 0.0018 cls_loss_mapping 0.0055 cls_loss_causal 0.5706 re_mapping 0.0067 re_causal 0.0219 /// teacc 99.03 lr 0.00010000 Epoch 121, weight, value: tensor([[-0.0424, 0.0242, 0.0071, ..., -0.0546, -0.0514, 0.0544], [-0.0325, -0.0106, -0.0601, ..., 0.1178, -0.0636, -0.0414], [-0.0114, -0.0212, 0.1550, ..., -0.0789, -0.1017, -0.0630], ..., [-0.0495, -0.0478, -0.0063, ..., -0.0057, 0.0794, -0.0329], [-0.0580, -0.0478, -0.0345, ..., -0.0848, 0.0074, -0.0939], [-0.1255, -0.0315, -0.0972, ..., -0.0835, 0.0085, 0.0761]], device='cuda:0'), grad: tensor([[ 2.7474e-08, 0.0000e+00, 1.4110e-07, ..., 1.1595e-07, 3.3528e-07, 9.0152e-07], [ 7.0315e-08, 0.0000e+00, 6.9290e-07, ..., -3.3248e-06, 1.6335e-06, 2.4438e-06], [ 3.0268e-08, 0.0000e+00, -1.3135e-05, ..., 5.0571e-07, 4.5775e-07, 9.6858e-07], ..., [ 3.9116e-08, 0.0000e+00, 2.7250e-06, ..., 1.0738e-06, -4.6164e-05, -1.0997e-05], [ 5.8673e-08, 0.0000e+00, 6.8210e-06, ..., 5.5321e-07, 5.7789e-07, 2.1141e-06], [ 2.5099e-07, 0.0000e+00, -4.1397e-07, ..., 1.7602e-07, 3.9749e-06, -2.1115e-05]], device='cuda:0') Epoch 121, bias, value: tensor([-0.0353, -0.0307, 0.0157, 0.0326, -0.0243, 0.0057, -0.0128, 0.0118, 0.0177, -0.0016], device='cuda:0'), grad: tensor([ 2.8256e-06, 2.7139e-06, -1.2398e-05, 9.5546e-05, 3.9972e-06, 3.9525e-06, -4.1053e-06, -7.1943e-05, 1.2808e-05, -3.3259e-05], device='cuda:0') 100 0.0001 changing lr epoch 120, time 214.69, cls_loss 0.0025 cls_loss_mapping 0.0059 cls_loss_causal 0.5991 re_mapping 0.0067 re_causal 0.0217 /// teacc 99.01 lr 0.00010000 Epoch 122, weight, value: tensor([[-0.0430, 0.0247, 0.0072, ..., -0.0547, -0.0521, 0.0543], [-0.0336, -0.0106, -0.0603, ..., 0.1181, -0.0638, -0.0417], [-0.0118, -0.0212, 0.1554, ..., -0.0791, -0.1020, -0.0634], ..., [-0.0500, -0.0478, -0.0050, ..., -0.0059, 0.0820, -0.0301], [-0.0585, -0.0480, -0.0347, ..., -0.0852, 0.0075, -0.0943], [-0.1258, -0.0315, -0.0992, ..., -0.0839, 0.0056, 0.0740]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -2.6096e-06, ..., 2.4168e-07, 1.0384e-07, -2.8238e-06], [ 1.0245e-08, 0.0000e+00, 1.2433e-07, ..., -3.9348e-07, 2.0023e-07, 2.9849e-07], [ 6.0536e-09, 0.0000e+00, -1.6866e-06, ..., 8.1025e-08, 2.4680e-07, 1.0384e-06], ..., [ 1.5367e-08, 0.0000e+00, -2.2585e-07, ..., 1.0664e-07, -4.5775e-07, 5.6950e-07], [ 8.3819e-09, 0.0000e+00, 2.1048e-06, ..., 8.8336e-07, 9.4203e-07, 4.3213e-06], [ 1.6764e-08, 0.0000e+00, 4.8103e-07, ..., 2.9802e-08, 1.7462e-07, -1.4696e-06]], device='cuda:0') Epoch 122, bias, value: tensor([-0.0355, -0.0307, 0.0155, 0.0326, -0.0246, 0.0057, -0.0131, 0.0138, 0.0178, -0.0034], device='cuda:0'), grad: tensor([-2.5574e-06, 7.1526e-07, 6.2119e-07, -5.3085e-08, 1.8114e-06, 7.8455e-06, -6.7577e-06, 7.7672e-07, -5.1595e-07, -1.8813e-06], device='cuda:0') 100 0.0001 changing lr epoch 121, time 214.62, cls_loss 0.0019 cls_loss_mapping 0.0051 cls_loss_causal 0.5472 re_mapping 0.0065 re_causal 0.0208 /// teacc 98.83 lr 0.00010000 Epoch 123, weight, value: tensor([[-0.0433, 0.0272, 0.0080, ..., -0.0548, -0.0519, 0.0546], [-0.0342, -0.0106, -0.0610, ..., 0.1204, -0.0614, -0.0421], [-0.0119, -0.0213, 0.1560, ..., -0.0790, -0.1027, -0.0638], ..., [-0.0509, -0.0478, -0.0049, ..., -0.0087, 0.0806, -0.0304], [-0.0588, -0.0485, -0.0350, ..., -0.0859, 0.0073, -0.0947], [-0.1268, -0.0320, -0.0991, ..., -0.0835, 0.0058, 0.0743]], device='cuda:0'), grad: tensor([[ 3.0035e-07, 0.0000e+00, -5.4017e-07, ..., 3.0501e-07, 1.8626e-07, 3.9004e-06], [ 3.0035e-07, 0.0000e+00, 4.6426e-07, ..., -1.0431e-06, 1.0207e-06, 1.4119e-06], [ 1.7555e-07, 0.0000e+00, 1.4203e-07, ..., 2.3749e-07, 3.6927e-07, 1.2275e-06], ..., [ 7.9675e-07, 0.0000e+00, -1.3215e-06, ..., 3.6787e-08, -1.6550e-06, 3.8482e-06], [ 7.2923e-07, 0.0000e+00, 1.1735e-07, ..., 4.1863e-07, 7.8697e-07, 1.1012e-05], [-4.7207e-05, 0.0000e+00, 5.9092e-07, ..., 4.2841e-08, -1.7449e-05, -9.0599e-05]], device='cuda:0') Epoch 123, bias, value: tensor([-0.0352, -0.0284, 0.0158, 0.0319, -0.0242, 0.0060, -0.0131, 0.0119, 0.0177, -0.0030], device='cuda:0'), grad: tensor([ 1.6555e-05, 7.1898e-06, 1.1444e-05, -1.4579e-04, 1.7130e-04, 3.3379e-05, -1.2778e-06, 9.7826e-06, 4.9710e-05, -1.5235e-04], device='cuda:0') 100 0.0001 changing lr epoch 122, time 214.55, cls_loss 0.0020 cls_loss_mapping 0.0053 cls_loss_causal 0.5457 re_mapping 0.0066 re_causal 0.0207 /// teacc 99.05 lr 0.00010000 Epoch 124, weight, value: tensor([[-0.0440, 0.0271, 0.0083, ..., -0.0545, -0.0520, 0.0542], [-0.0345, -0.0106, -0.0618, ..., 0.1204, -0.0617, -0.0423], [-0.0122, -0.0212, 0.1588, ..., -0.0792, -0.1005, -0.0642], ..., [-0.0515, -0.0478, -0.0071, ..., -0.0086, 0.0803, -0.0305], [-0.0591, -0.0486, -0.0353, ..., -0.0861, 0.0071, -0.0949], [-0.1274, -0.0320, -0.0992, ..., -0.0839, 0.0058, 0.0747]], device='cuda:0'), grad: tensor([[ 1.0096e-06, 0.0000e+00, -3.5148e-06, ..., 8.4052e-07, 6.2073e-07, -7.5530e-07], [ 3.8929e-07, 0.0000e+00, 1.1986e-06, ..., -7.2606e-06, 2.4270e-06, 7.3155e-07], [ 4.3586e-07, 0.0000e+00, 1.4538e-06, ..., 6.4261e-07, 3.7756e-06, 1.5683e-06], ..., [ 4.9546e-07, 0.0000e+00, -1.5840e-05, ..., 1.7239e-06, -3.4690e-05, 1.0598e-06], [ 1.9688e-06, 0.0000e+00, 2.4661e-06, ..., 2.0936e-06, 2.1309e-06, 5.0627e-06], [-3.3766e-05, 0.0000e+00, 1.2331e-06, ..., 2.2119e-07, 2.1905e-06, -7.1406e-05]], device='cuda:0') Epoch 124, bias, value: tensor([-0.0356, -0.0288, 0.0174, 0.0317, -0.0265, 0.0063, -0.0108, 0.0115, 0.0178, -0.0028], device='cuda:0'), grad: tensor([ 2.4214e-06, -9.2387e-06, 1.1727e-05, 4.8399e-05, 8.6069e-05, 1.3568e-05, 1.9014e-05, -5.2243e-05, -2.4773e-06, -1.1718e-04], device='cuda:0') 100 0.0001 changing lr epoch 123, time 215.00, cls_loss 0.0017 cls_loss_mapping 0.0060 cls_loss_causal 0.5353 re_mapping 0.0061 re_causal 0.0196 /// teacc 99.12 lr 0.00010000 Epoch 125, weight, value: tensor([[-0.0438, 0.0275, 0.0100, ..., -0.0545, -0.0524, 0.0546], [-0.0346, -0.0107, -0.0623, ..., 0.1206, -0.0620, -0.0424], [-0.0124, -0.0212, 0.1591, ..., -0.0795, -0.1006, -0.0654], ..., [-0.0521, -0.0479, -0.0070, ..., -0.0084, 0.0803, -0.0310], [-0.0593, -0.0487, -0.0356, ..., -0.0866, 0.0068, -0.0954], [-0.1285, -0.0322, -0.0994, ..., -0.0840, 0.0062, 0.0752]], device='cuda:0'), grad: tensor([[ 2.7381e-07, -1.2573e-08, 1.9670e-06, ..., 2.3143e-07, 2.6878e-06, -1.2154e-07], [ 1.5637e-06, 4.6566e-10, 1.4089e-05, ..., -5.9837e-07, 1.8522e-05, 2.8918e-07], [ 3.3155e-07, 2.7940e-09, -2.5406e-06, ..., 4.7497e-08, 4.1947e-06, 5.5414e-07], ..., [ 5.4715e-07, 0.0000e+00, -3.5554e-05, ..., 2.9523e-07, -5.2333e-05, 2.1048e-07], [ 2.1886e-07, 1.8626e-09, 1.6084e-06, ..., 1.4016e-07, 1.0449e-06, 7.9395e-07], [ 4.1239e-06, 1.8626e-09, 4.5449e-06, ..., 3.2224e-07, 5.9605e-06, -3.8277e-07]], device='cuda:0') Epoch 125, bias, value: tensor([-0.0351, -0.0290, 0.0175, 0.0317, -0.0262, 0.0060, -0.0110, 0.0114, 0.0176, -0.0025], device='cuda:0'), grad: tensor([ 9.0823e-06, 5.3376e-05, 8.5607e-06, -1.2279e-05, 1.4856e-05, 1.9506e-05, 3.4198e-06, -1.3125e-04, 1.1086e-05, 2.3499e-05], device='cuda:0') 100 0.0001 changing lr epoch 124, time 214.21, cls_loss 0.0022 cls_loss_mapping 0.0060 cls_loss_causal 0.5636 re_mapping 0.0063 re_causal 0.0198 /// teacc 99.04 lr 0.00010000 Epoch 126, weight, value: tensor([[-0.0454, 0.0275, 0.0114, ..., -0.0549, -0.0531, 0.0551], [-0.0348, -0.0107, -0.0624, ..., 0.1210, -0.0619, -0.0429], [-0.0129, -0.0211, 0.1594, ..., -0.0797, -0.1010, -0.0660], ..., [-0.0534, -0.0479, -0.0069, ..., -0.0088, 0.0804, -0.0312], [-0.0595, -0.0488, -0.0358, ..., -0.0869, 0.0072, -0.0964], [-0.1305, -0.0322, -0.0999, ..., -0.0843, 0.0064, 0.0756]], device='cuda:0'), grad: tensor([[ 3.5763e-07, 0.0000e+00, -1.3281e-06, ..., 1.1642e-06, -4.7497e-08, -8.4098e-07], [ 2.3879e-06, 0.0000e+00, 2.9057e-06, ..., -1.1455e-06, 2.6217e-07, 1.1109e-05], [ 2.4168e-07, 0.0000e+00, -3.2224e-06, ..., 4.8010e-07, 1.1874e-07, 4.5262e-07], ..., [ 2.7847e-07, 0.0000e+00, 1.6950e-07, ..., 1.4687e-06, -3.6089e-07, 8.4797e-07], [ 3.1712e-07, 0.0000e+00, 2.4913e-07, ..., 2.7958e-06, 2.3227e-06, 3.5018e-06], [-2.9095e-06, 0.0000e+00, 4.8941e-07, ..., -9.1176e-07, 3.7765e-07, -1.4380e-05]], device='cuda:0') Epoch 126, bias, value: tensor([-0.0348, -0.0286, 0.0173, 0.0314, -0.0256, 0.0054, -0.0110, 0.0109, 0.0181, -0.0024], device='cuda:0'), grad: tensor([ 6.9337e-07, 2.4676e-05, -1.1735e-06, -1.7732e-06, 7.0222e-06, -4.8913e-06, -1.2606e-05, 4.9695e-06, 1.5512e-05, -3.2425e-05], device='cuda:0') 100 0.0001 changing lr epoch 125, time 214.34, cls_loss 0.0019 cls_loss_mapping 0.0059 cls_loss_causal 0.5715 re_mapping 0.0066 re_causal 0.0214 /// teacc 99.04 lr 0.00010000 Epoch 127, weight, value: tensor([[-0.0463, 0.0276, 0.0120, ..., -0.0552, -0.0535, 0.0553], [-0.0353, -0.0107, -0.0629, ..., 0.1211, -0.0621, -0.0434], [-0.0133, -0.0211, 0.1596, ..., -0.0798, -0.1016, -0.0666], ..., [-0.0531, -0.0479, -0.0065, ..., -0.0088, 0.0809, -0.0312], [-0.0587, -0.0489, -0.0364, ..., -0.0870, 0.0072, -0.0968], [-0.1323, -0.0323, -0.1016, ..., -0.0846, 0.0062, 0.0757]], device='cuda:0'), grad: tensor([[ 4.7963e-08, 0.0000e+00, -4.0889e-05, ..., 1.7136e-07, 1.5926e-07, -5.3078e-05], [ 6.4261e-08, 0.0000e+00, 1.3039e-06, ..., -1.8785e-06, 7.5204e-07, 1.4864e-06], [ 7.6368e-08, 0.0000e+00, 2.1197e-06, ..., 1.1325e-06, 4.7544e-07, 2.7921e-06], ..., [ 7.5903e-08, 0.0000e+00, 9.5274e-07, ..., 3.1665e-08, -1.5600e-06, 4.7460e-06], [ 4.5635e-08, 0.0000e+00, 2.9653e-06, ..., 7.7486e-07, 3.2550e-07, 4.2878e-06], [ 8.1956e-08, 0.0000e+00, 1.6540e-05, ..., 3.3993e-08, 3.2131e-07, 1.7494e-05]], device='cuda:0') Epoch 127, bias, value: tensor([-0.0349, -0.0290, 0.0174, 0.0314, -0.0250, 0.0047, -0.0107, 0.0112, 0.0181, -0.0029], device='cuda:0'), grad: tensor([-1.5140e-04, 1.6904e-06, 1.0863e-05, 1.9118e-05, 7.9125e-06, 1.0259e-05, 2.7075e-05, 7.7859e-06, 1.1966e-05, 5.4777e-05], device='cuda:0') 100 0.0001 changing lr epoch 126, time 214.53, cls_loss 0.0016 cls_loss_mapping 0.0049 cls_loss_causal 0.5665 re_mapping 0.0067 re_causal 0.0208 /// teacc 99.00 lr 0.00010000 Epoch 128, weight, value: tensor([[-0.0468, 0.0276, 0.0123, ..., -0.0555, -0.0537, 0.0555], [-0.0361, -0.0107, -0.0631, ..., 0.1213, -0.0622, -0.0437], [-0.0136, -0.0211, 0.1600, ..., -0.0802, -0.1019, -0.0670], ..., [-0.0544, -0.0479, -0.0065, ..., -0.0090, 0.0811, -0.0314], [-0.0592, -0.0489, -0.0364, ..., -0.0874, 0.0074, -0.0971], [-0.1330, -0.0323, -0.1017, ..., -0.0845, 0.0061, 0.0759]], device='cuda:0'), grad: tensor([[ 2.1886e-08, 0.0000e+00, 1.6764e-08, ..., 1.3923e-07, 3.6322e-08, 1.5041e-07], [ 8.8476e-08, 0.0000e+00, 8.8010e-08, ..., -2.0135e-06, 4.8429e-08, 2.8219e-07], [-7.8231e-08, 0.0000e+00, -1.9167e-06, ..., 1.7416e-07, 2.0023e-08, 1.7695e-07], ..., [ 2.0862e-07, 0.0000e+00, 2.1514e-07, ..., 5.3644e-07, -2.9337e-08, 2.7418e-06], [ 5.7276e-08, 0.0000e+00, 4.1584e-07, ..., 5.5740e-07, 1.5972e-07, 2.0172e-06], [-7.1153e-07, 0.0000e+00, -2.2305e-07, ..., 2.2026e-07, 4.6566e-08, -1.4663e-05]], device='cuda:0') Epoch 128, bias, value: tensor([-0.0349, -0.0291, 0.0174, 0.0312, -0.0247, 0.0048, -0.0105, 0.0111, 0.0185, -0.0030], device='cuda:0'), grad: tensor([ 9.6485e-07, -3.6117e-06, -1.6838e-06, 1.1437e-05, 1.8403e-05, 4.3865e-07, 1.5590e-06, 6.9849e-06, -6.6496e-06, -2.7791e-05], device='cuda:0') 100 0.0001 changing lr epoch 127, time 214.55, cls_loss 0.0017 cls_loss_mapping 0.0050 cls_loss_causal 0.5642 re_mapping 0.0066 re_causal 0.0209 /// teacc 99.05 lr 0.00010000 Epoch 129, weight, value: tensor([[-0.0472, 0.0276, 0.0126, ..., -0.0557, -0.0538, 0.0556], [-0.0370, -0.0107, -0.0634, ..., 0.1215, -0.0623, -0.0446], [-0.0138, -0.0208, 0.1605, ..., -0.0804, -0.1021, -0.0672], ..., [-0.0540, -0.0479, -0.0063, ..., -0.0091, 0.0814, -0.0315], [-0.0597, -0.0490, -0.0367, ..., -0.0876, 0.0072, -0.0979], [-0.1327, -0.0323, -0.1019, ..., -0.0845, 0.0060, 0.0764]], device='cuda:0'), grad: tensor([[ 3.0734e-07, 6.0536e-09, -1.5460e-06, ..., 1.1036e-06, 2.1467e-07, -4.7730e-07], [ 2.1001e-07, 2.7008e-08, 4.0419e-07, ..., -4.0513e-07, 5.4948e-07, 4.1164e-07], [ 2.2678e-07, -5.4389e-07, -3.0529e-06, ..., 5.0198e-07, 1.3690e-07, 3.7719e-07], ..., [ 2.0349e-07, 2.6310e-07, 1.5255e-06, ..., 3.3807e-07, 6.4494e-07, 2.2333e-06], [ 2.9197e-07, 4.9826e-08, 1.7229e-07, ..., 4.4936e-07, 5.4017e-07, 3.7998e-06], [ 5.1921e-07, 2.3283e-09, 4.5775e-07, ..., 1.0664e-07, 1.5190e-06, -1.0930e-05]], device='cuda:0') Epoch 129, bias, value: tensor([-0.0349, -0.0293, 0.0176, 0.0308, -0.0254, 0.0054, -0.0107, 0.0112, 0.0182, -0.0024], device='cuda:0'), grad: tensor([ 9.9465e-07, 1.5358e-06, -7.7719e-07, 2.1473e-05, -3.2596e-07, -3.3110e-05, 1.2182e-05, 7.5884e-06, 7.7337e-06, -1.7330e-05], device='cuda:0') 100 0.0001 changing lr epoch 128, time 214.53, cls_loss 0.0017 cls_loss_mapping 0.0050 cls_loss_causal 0.5520 re_mapping 0.0066 re_causal 0.0197 /// teacc 99.03 lr 0.00010000 Epoch 130, weight, value: tensor([[-0.0478, 0.0276, 0.0133, ..., -0.0560, -0.0541, 0.0558], [-0.0375, -0.0107, -0.0634, ..., 0.1224, -0.0624, -0.0448], [-0.0144, -0.0202, 0.1606, ..., -0.0818, -0.1024, -0.0678], ..., [-0.0544, -0.0480, -0.0062, ..., -0.0096, 0.0815, -0.0316], [-0.0602, -0.0492, -0.0369, ..., -0.0878, 0.0069, -0.0988], [-0.1330, -0.0324, -0.1020, ..., -0.0851, 0.0060, 0.0768]], device='cuda:0'), grad: tensor([[ 6.9849e-07, 1.3970e-09, 5.5181e-07, ..., 2.8731e-07, 5.7789e-07, 2.0955e-08], [ 1.3709e-05, 3.2596e-09, 1.2973e-06, ..., 4.5747e-06, 1.4424e-05, 1.3970e-08], [ 8.9873e-07, 2.1886e-08, -3.4571e-05, ..., 2.5053e-07, -4.6603e-06, 2.2352e-08], ..., [ 7.6033e-06, 2.2259e-07, 9.4920e-06, ..., 1.1194e-06, -3.0220e-05, 2.2678e-07], [ 5.2340e-06, 1.0710e-08, 8.3372e-06, ..., 1.2675e-06, 1.1874e-06, 4.8429e-08], [ 7.9349e-06, 4.7963e-08, 1.2301e-05, ..., 1.4864e-06, 9.7975e-06, -1.2852e-07]], device='cuda:0') Epoch 130, bias, value: tensor([-0.0349, -0.0291, 0.0168, 0.0313, -0.0255, 0.0051, -0.0104, 0.0110, 0.0180, -0.0023], device='cuda:0'), grad: tensor([ 4.2468e-06, 6.7413e-05, -5.8144e-05, 3.8654e-05, -6.4075e-05, 6.5565e-06, 4.8168e-06, -4.3035e-05, -1.5274e-05, 5.8681e-05], device='cuda:0') 100 0.0001 changing lr epoch 129, time 214.32, cls_loss 0.0025 cls_loss_mapping 0.0073 cls_loss_causal 0.5400 re_mapping 0.0065 re_causal 0.0194 /// teacc 99.05 lr 0.00010000 Epoch 131, weight, value: tensor([[-0.0492, 0.0276, 0.0161, ..., -0.0559, -0.0546, 0.0574], [-0.0382, -0.0108, -0.0626, ..., 0.1237, -0.0625, -0.0453], [-0.0139, -0.0177, 0.1593, ..., -0.0836, -0.1049, -0.0683], ..., [-0.0553, -0.0496, -0.0050, ..., -0.0099, 0.0819, -0.0317], [-0.0610, -0.0494, -0.0371, ..., -0.0885, 0.0066, -0.0996], [-0.1343, -0.0325, -0.1037, ..., -0.0856, 0.0059, 0.0765]], device='cuda:0'), grad: tensor([[ 9.1735e-08, 0.0000e+00, 3.6031e-05, ..., 1.1316e-07, 4.1872e-05, 1.1295e-04], [ 8.8941e-07, 0.0000e+00, 1.5926e-06, ..., -1.2154e-06, 2.0694e-06, 1.9046e-06], [ 7.6275e-07, 0.0000e+00, 6.7195e-07, ..., 3.5111e-07, 1.2117e-06, 3.7961e-06], ..., [ 4.6473e-07, 0.0000e+00, -1.7071e-06, ..., 6.4122e-07, -2.9560e-06, 4.4741e-06], [ 1.2759e-07, 0.0000e+00, 4.0419e-07, ..., 2.0675e-07, 3.3202e-07, 5.1036e-06], [ 8.8336e-07, 0.0000e+00, 2.2054e-06, ..., 2.2305e-07, 2.6282e-06, -1.6717e-06]], device='cuda:0') Epoch 131, bias, value: tensor([-0.0336, -0.0284, 0.0142, 0.0319, -0.0246, 0.0054, -0.0101, 0.0110, 0.0178, -0.0031], device='cuda:0'), grad: tensor([ 2.1493e-04, 6.9216e-06, 1.9044e-05, -7.0333e-05, 1.2778e-06, -2.3639e-04, 5.9046e-06, 1.7047e-05, 3.1471e-05, 1.0051e-05], device='cuda:0') 100 0.0001 changing lr epoch 130, time 214.17, cls_loss 0.0016 cls_loss_mapping 0.0051 cls_loss_causal 0.5607 re_mapping 0.0063 re_causal 0.0204 /// teacc 99.13 lr 0.00010000 Epoch 132, weight, value: tensor([[-0.0500, 0.0276, 0.0159, ..., -0.0561, -0.0552, 0.0565], [-0.0387, -0.0108, -0.0630, ..., 0.1237, -0.0628, -0.0457], [-0.0146, -0.0176, 0.1596, ..., -0.0838, -0.1050, -0.0686], ..., [-0.0555, -0.0496, -0.0048, ..., -0.0099, 0.0822, -0.0317], [-0.0614, -0.0495, -0.0372, ..., -0.0888, 0.0064, -0.1002], [-0.1344, -0.0324, -0.1035, ..., -0.0862, 0.0058, 0.0774]], device='cuda:0'), grad: tensor([[-2.1439e-06, 0.0000e+00, -1.2982e-04, ..., -5.4911e-06, 1.2489e-06, -1.4675e-04], [ 1.3178e-07, 0.0000e+00, 4.0740e-05, ..., 2.4997e-06, 4.2915e-06, 3.2578e-06], [ 1.0896e-07, -1.8626e-09, -3.3021e-05, ..., -8.9221e-07, 5.7779e-06, 4.0084e-06], ..., [ 9.5461e-08, 0.0000e+00, -1.6496e-05, ..., 2.7567e-07, -3.0488e-05, 1.8226e-06], [ 1.1465e-06, 0.0000e+00, 7.6592e-06, ..., 8.8243e-07, -4.3325e-06, 1.8194e-05], [-6.1188e-07, 0.0000e+00, 1.0806e-04, ..., 1.0803e-06, 9.5069e-06, 9.4116e-05]], device='cuda:0') Epoch 132, bias, value: tensor([-0.0344, -0.0286, 0.0140, 0.0320, -0.0249, 0.0050, -0.0098, 0.0113, 0.0176, -0.0026], device='cuda:0'), grad: tensor([-2.5511e-04, 6.1214e-05, -2.4259e-05, 3.0473e-05, 1.9550e-05, 1.0177e-05, 2.9534e-05, -5.1171e-05, -4.6402e-05, 2.2578e-04], device='cuda:0') 100 0.0001 changing lr epoch 131, time 214.52, cls_loss 0.0018 cls_loss_mapping 0.0046 cls_loss_causal 0.5686 re_mapping 0.0062 re_causal 0.0199 /// teacc 99.03 lr 0.00010000 Epoch 133, weight, value: tensor([[-0.0509, 0.0276, 0.0165, ..., -0.0572, -0.0567, 0.0566], [-0.0392, -0.0109, -0.0637, ..., 0.1241, -0.0630, -0.0457], [-0.0148, -0.0174, 0.1598, ..., -0.0841, -0.1056, -0.0689], ..., [-0.0559, -0.0496, -0.0042, ..., -0.0100, 0.0827, -0.0318], [-0.0618, -0.0495, -0.0379, ..., -0.0900, 0.0066, -0.1002], [-0.1349, -0.0325, -0.1040, ..., -0.0868, 0.0056, 0.0773]], device='cuda:0'), grad: tensor([[-1.5600e-06, 0.0000e+00, -6.4187e-06, ..., -1.8980e-06, 7.7765e-08, -1.2435e-05], [ 5.7742e-08, 0.0000e+00, 5.5041e-07, ..., -6.8638e-07, 2.1374e-07, 4.0140e-07], [ 3.3528e-08, 0.0000e+00, -1.7323e-06, ..., 1.8161e-07, 3.0128e-07, 3.1525e-07], ..., [ 9.3132e-09, 0.0000e+00, -1.0133e-06, ..., 4.4145e-07, -1.1642e-06, 2.1420e-08], [ 2.8405e-08, 0.0000e+00, 6.8778e-07, ..., 3.4133e-07, 1.4529e-07, 2.9150e-07], [ 1.6065e-07, 0.0000e+00, 1.2415e-06, ..., 2.3283e-07, 2.5192e-07, 1.8654e-06]], device='cuda:0') Epoch 133, bias, value: tensor([-0.0346, -0.0288, 0.0136, 0.0331, -0.0248, 0.0023, -0.0090, 0.0118, 0.0179, -0.0030], device='cuda:0'), grad: tensor([-2.3797e-05, 4.6426e-07, -9.4902e-07, 2.8107e-06, 1.1325e-06, 1.6894e-06, 1.4633e-05, -1.2703e-06, 1.1846e-06, 4.0792e-06], device='cuda:0') 100 0.0001 changing lr epoch 132, time 214.28, cls_loss 0.0015 cls_loss_mapping 0.0052 cls_loss_causal 0.5114 re_mapping 0.0069 re_causal 0.0194 /// teacc 98.96 lr 0.00010000 Epoch 134, weight, value: tensor([[-0.0514, 0.0275, 0.0175, ..., -0.0573, -0.0571, 0.0569], [-0.0398, -0.0109, -0.0646, ..., 0.1247, -0.0631, -0.0459], [-0.0153, -0.0174, 0.1607, ..., -0.0842, -0.1060, -0.0694], ..., [-0.0563, -0.0496, -0.0042, ..., -0.0100, 0.0828, -0.0319], [-0.0624, -0.0496, -0.0388, ..., -0.0916, 0.0067, -0.1007], [-0.1352, -0.0325, -0.1045, ..., -0.0875, 0.0055, 0.0775]], device='cuda:0'), grad: tensor([[ 1.8114e-07, 1.3039e-08, 1.6298e-06, ..., 1.6065e-07, 1.0151e-06, 4.3847e-06], [ 7.6834e-07, 3.5856e-08, 5.3179e-07, ..., -2.8824e-07, 3.2550e-07, 7.1665e-07], [ 6.2631e-07, 6.4727e-08, -2.8312e-06, ..., 2.9290e-07, 3.2643e-07, 1.0068e-06], ..., [ 4.3958e-07, 3.6787e-08, -8.4639e-06, ..., 2.4913e-07, -4.8690e-06, -5.9605e-06], [ 3.1479e-07, 1.7229e-08, 5.8189e-06, ..., 3.2037e-07, 2.3320e-06, 7.9051e-06], [ 4.3027e-07, 5.7276e-08, -1.0461e-05, ..., 2.7474e-08, -6.2063e-06, -4.2617e-05]], device='cuda:0') Epoch 134, bias, value: tensor([-0.0340, -0.0290, 0.0142, 0.0332, -0.0246, 0.0021, -0.0090, 0.0117, 0.0175, -0.0032], device='cuda:0'), grad: tensor([ 7.0892e-06, 2.0377e-06, 1.2051e-06, 4.0472e-05, -2.7195e-06, 1.1139e-05, 6.8499e-07, -1.8880e-05, 9.4250e-06, -5.0426e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 133---------------------------------------------------- epoch 133, time 230.75, cls_loss 0.0015 cls_loss_mapping 0.0049 cls_loss_causal 0.5189 re_mapping 0.0061 re_causal 0.0191 /// teacc 99.18 lr 0.00010000 Epoch 135, weight, value: tensor([[-0.0517, 0.0275, 0.0178, ..., -0.0578, -0.0584, 0.0569], [-0.0401, -0.0109, -0.0650, ..., 0.1255, -0.0633, -0.0461], [-0.0170, -0.0175, 0.1611, ..., -0.0847, -0.1062, -0.0699], ..., [-0.0569, -0.0497, -0.0040, ..., -0.0102, 0.0833, -0.0319], [-0.0627, -0.0498, -0.0390, ..., -0.0922, 0.0053, -0.1019], [-0.1356, -0.0327, -0.1048, ..., -0.0878, 0.0053, 0.0777]], device='cuda:0'), grad: tensor([[ 5.0142e-06, 0.0000e+00, -5.3532e-06, ..., 8.9929e-06, 6.8266e-07, -1.1511e-05], [ 2.3693e-06, 0.0000e+00, 6.8406e-07, ..., 3.6284e-06, 8.6101e-07, 1.3085e-07], [ 3.6228e-07, 0.0000e+00, -2.4643e-06, ..., 1.3160e-06, 3.1944e-07, 1.8161e-07], ..., [ 1.4948e-07, 0.0000e+00, -1.3858e-06, ..., 2.8638e-07, -2.2743e-06, 6.5705e-07], [ 1.7826e-06, 0.0000e+00, 1.0328e-06, ..., 3.3379e-06, 4.3027e-07, 7.4599e-07], [ 7.9023e-07, 0.0000e+00, 5.9567e-06, ..., 1.5851e-06, 2.0117e-07, 8.0764e-06]], device='cuda:0') Epoch 135, bias, value: tensor([-0.0342, -0.0289, 0.0140, 0.0329, -0.0244, 0.0021, -0.0088, 0.0119, 0.0172, -0.0032], device='cuda:0'), grad: tensor([ 5.0291e-06, 1.0513e-05, 2.0638e-06, 3.4012e-06, 2.7612e-05, 6.0648e-06, -7.3552e-05, -3.3267e-06, 7.0706e-06, 1.5080e-05], device='cuda:0') 100 0.0001 changing lr epoch 134, time 214.30, cls_loss 0.0014 cls_loss_mapping 0.0045 cls_loss_causal 0.5120 re_mapping 0.0063 re_causal 0.0193 /// teacc 99.13 lr 0.00010000 Epoch 136, weight, value: tensor([[-0.0520, 0.0275, 0.0182, ..., -0.0579, -0.0590, 0.0571], [-0.0406, -0.0109, -0.0653, ..., 0.1261, -0.0635, -0.0485], [-0.0171, -0.0174, 0.1614, ..., -0.0851, -0.1064, -0.0705], ..., [-0.0574, -0.0497, -0.0038, ..., -0.0105, 0.0836, -0.0319], [-0.0630, -0.0498, -0.0394, ..., -0.0923, 0.0048, -0.1031], [-0.1358, -0.0327, -0.1051, ..., -0.0880, 0.0052, 0.0783]], device='cuda:0'), grad: tensor([[ 5.5879e-07, 0.0000e+00, -2.2743e-06, ..., 5.4063e-07, 1.3108e-07, -2.8722e-06], [ 1.1297e-06, 0.0000e+00, 1.1278e-06, ..., 4.0443e-07, 6.9244e-07, 6.2911e-07], [ 1.5628e-06, 0.0000e+00, -9.5647e-07, ..., 1.1381e-06, 4.1886e-07, 5.0198e-07], ..., [ 1.3094e-06, 0.0000e+00, -2.4810e-06, ..., 4.1444e-08, -1.6522e-06, 2.8405e-08], [ 8.3772e-07, 0.0000e+00, 2.9453e-07, ..., 5.3551e-07, 7.1712e-07, 1.2740e-06], [ 9.3412e-07, 0.0000e+00, 2.8592e-06, ..., 5.6578e-08, 1.8813e-06, 3.7421e-06]], device='cuda:0') Epoch 136, bias, value: tensor([-0.0341, -0.0292, 0.0138, 0.0328, -0.0245, 0.0020, -0.0089, 0.0120, 0.0172, -0.0027], device='cuda:0'), grad: tensor([-4.6082e-06, 8.6948e-06, 1.4611e-05, -1.1235e-04, 1.9353e-06, 6.5625e-05, -5.9828e-06, 5.5134e-06, 9.4026e-06, 1.7121e-05], device='cuda:0') 100 0.0001 changing lr epoch 135, time 214.42, cls_loss 0.0014 cls_loss_mapping 0.0050 cls_loss_causal 0.5429 re_mapping 0.0061 re_causal 0.0195 /// teacc 99.08 lr 0.00010000 Epoch 137, weight, value: tensor([[-0.0524, 0.0275, 0.0192, ..., -0.0574, -0.0592, 0.0575], [-0.0411, -0.0109, -0.0656, ..., 0.1265, -0.0636, -0.0486], [-0.0172, -0.0172, 0.1619, ..., -0.0853, -0.1064, -0.0709], ..., [-0.0580, -0.0496, -0.0039, ..., -0.0107, 0.0838, -0.0321], [-0.0633, -0.0499, -0.0401, ..., -0.0927, 0.0047, -0.1040], [-0.1363, -0.0327, -0.1053, ..., -0.0884, 0.0052, 0.0783]], device='cuda:0'), grad: tensor([[ 7.0548e-08, 0.0000e+00, 1.4445e-06, ..., 8.6380e-08, 1.2042e-06, -3.8976e-07], [ 4.8196e-07, 0.0000e+00, 1.2666e-05, ..., -3.0957e-06, 1.0543e-05, 1.3318e-07], [ 7.7998e-08, 0.0000e+00, -1.6261e-06, ..., 1.5441e-06, 9.2015e-06, 1.2829e-07], ..., [ 7.1153e-07, 0.0000e+00, -4.9710e-05, ..., 3.7649e-07, -4.5925e-05, 1.4883e-06], [ 4.7637e-07, 0.0000e+00, 8.7917e-06, ..., 4.6194e-07, 2.0377e-06, 9.8627e-07], [ 6.8406e-07, 0.0000e+00, 3.4329e-06, ..., 7.2410e-08, 3.1516e-06, -3.7421e-06]], device='cuda:0') Epoch 137, bias, value: tensor([-0.0335, -0.0293, 0.0139, 0.0327, -0.0243, 0.0026, -0.0095, 0.0119, 0.0169, -0.0028], device='cuda:0'), grad: tensor([ 3.3919e-06, 2.7418e-05, 1.1861e-05, 2.4095e-05, 2.0400e-05, 1.3776e-05, 3.2987e-06, -1.2279e-04, 1.5646e-05, 2.9262e-06], device='cuda:0') 100 0.0001 changing lr epoch 136, time 214.47, cls_loss 0.0016 cls_loss_mapping 0.0049 cls_loss_causal 0.5331 re_mapping 0.0060 re_causal 0.0184 /// teacc 99.13 lr 0.00010000 Epoch 138, weight, value: tensor([[-0.0531, 0.0275, 0.0204, ..., -0.0577, -0.0583, 0.0578], [-0.0415, -0.0110, -0.0659, ..., 0.1271, -0.0638, -0.0487], [-0.0175, -0.0172, 0.1621, ..., -0.0856, -0.1067, -0.0718], ..., [-0.0572, -0.0497, -0.0036, ..., -0.0110, 0.0842, -0.0322], [-0.0637, -0.0501, -0.0404, ..., -0.0932, 0.0044, -0.1044], [-0.1366, -0.0329, -0.1056, ..., -0.0887, 0.0051, 0.0786]], device='cuda:0'), grad: tensor([[ 1.6158e-07, 0.0000e+00, -2.9569e-07, ..., 3.6298e-07, 2.5565e-07, 4.7637e-07], [ 6.4960e-08, 0.0000e+00, 1.3309e-06, ..., -9.0292e-07, 3.2573e-07, 3.2783e-07], [ 7.2410e-08, 0.0000e+00, -3.1088e-06, ..., 1.4273e-07, 4.1537e-07, 3.9348e-07], ..., [ 4.7497e-08, 0.0000e+00, -4.7944e-06, ..., 1.0920e-07, -1.2759e-07, 1.1496e-05], [ 7.6648e-07, 0.0000e+00, 2.3772e-07, ..., 3.7090e-07, 1.1595e-07, 1.4175e-06], [ 1.3714e-07, 0.0000e+00, 3.7458e-06, ..., 6.9151e-08, -2.2445e-06, -1.5959e-05]], device='cuda:0') Epoch 138, bias, value: tensor([-0.0330, -0.0292, 0.0137, 0.0339, -0.0246, 0.0003, -0.0095, 0.0122, 0.0168, -0.0027], device='cuda:0'), grad: tensor([ 2.6040e-06, 1.1995e-06, -1.0226e-06, 5.8189e-06, 1.3094e-06, 1.5758e-06, -1.2740e-06, 1.3821e-05, 1.0412e-06, -2.5108e-05], device='cuda:0') 100 0.0001 changing lr epoch 137, time 214.44, cls_loss 0.0015 cls_loss_mapping 0.0041 cls_loss_causal 0.5480 re_mapping 0.0055 re_causal 0.0187 /// teacc 99.16 lr 0.00010000 Epoch 139, weight, value: tensor([[-0.0536, 0.0274, 0.0201, ..., -0.0579, -0.0587, 0.0578], [-0.0417, -0.0110, -0.0668, ..., 0.1275, -0.0642, -0.0490], [-0.0176, -0.0172, 0.1628, ..., -0.0859, -0.1069, -0.0721], ..., [-0.0574, -0.0499, -0.0033, ..., -0.0111, 0.0846, -0.0322], [-0.0640, -0.0505, -0.0410, ..., -0.0935, 0.0040, -0.1047], [-0.1368, -0.0333, -0.1057, ..., -0.0891, 0.0050, 0.0788]], device='cuda:0'), grad: tensor([[ 2.0955e-09, 0.0000e+00, -1.3728e-06, ..., 1.0431e-07, 5.4715e-08, -2.7250e-06], [ 6.2864e-09, 0.0000e+00, 1.7747e-05, ..., -2.0452e-06, 4.1607e-07, 1.1525e-07], [ 2.7940e-09, 0.0000e+00, -9.3818e-05, ..., 2.2934e-07, 1.4566e-06, 8.6753e-07], ..., [ 4.4238e-09, 0.0000e+00, 5.8830e-05, ..., 1.0328e-06, -2.7381e-06, 3.4226e-07], [ 2.7940e-09, 0.0000e+00, 9.5591e-06, ..., 2.3446e-07, 4.7963e-07, 5.6345e-08], [ 3.9581e-09, 0.0000e+00, 3.3267e-06, ..., 1.2293e-07, 1.2550e-07, 3.2922e-07]], device='cuda:0') Epoch 139, bias, value: tensor([-0.0333, -0.0296, 0.0140, 0.0337, -0.0246, 0.0008, -0.0097, 0.0125, 0.0165, -0.0027], device='cuda:0'), grad: tensor([-2.2184e-06, 1.7285e-05, -1.0651e-04, 5.9493e-06, 3.6918e-06, -1.4231e-06, 1.9446e-06, 6.9201e-05, 7.4655e-06, 4.7199e-06], device='cuda:0') 100 0.0001 changing lr epoch 138, time 214.25, cls_loss 0.0015 cls_loss_mapping 0.0050 cls_loss_causal 0.5341 re_mapping 0.0056 re_causal 0.0187 /// teacc 99.11 lr 0.00010000 Epoch 140, weight, value: tensor([[-0.0541, 0.0274, 0.0203, ..., -0.0579, -0.0592, 0.0579], [-0.0424, -0.0111, -0.0675, ..., 0.1278, -0.0644, -0.0491], [-0.0180, -0.0172, 0.1635, ..., -0.0860, -0.1072, -0.0734], ..., [-0.0565, -0.0498, -0.0030, ..., -0.0111, 0.0849, -0.0322], [-0.0647, -0.0507, -0.0417, ..., -0.0939, 0.0046, -0.1060], [-0.1379, -0.0334, -0.1060, ..., -0.0893, 0.0049, 0.0790]], device='cuda:0'), grad: tensor([[ 1.2573e-08, 0.0000e+00, -5.2853e-08, ..., 3.2154e-07, 9.0105e-08, -1.9791e-08], [ 1.7928e-08, 0.0000e+00, 6.2352e-07, ..., -4.9360e-06, 4.9872e-07, 6.9384e-08], [ 1.8859e-08, 0.0000e+00, 7.4320e-07, ..., 7.1712e-07, 5.5414e-07, 9.5461e-08], ..., [ 4.0047e-08, 0.0000e+00, -2.8219e-06, ..., 1.2750e-06, -2.4512e-06, 1.9162e-07], [ 1.7928e-08, 0.0000e+00, 1.2503e-07, ..., 1.8962e-06, 9.6951e-07, 9.7416e-07], [ 2.8405e-07, 0.0000e+00, 6.7567e-07, ..., 2.0303e-07, 7.7905e-07, -3.6042e-07]], device='cuda:0') Epoch 140, bias, value: tensor([-0.0333, -0.0298, 0.0143, 0.0334, -0.0245, 0.0014, -0.0107, 0.0129, 0.0163, -0.0027], device='cuda:0'), grad: tensor([ 1.4948e-06, -1.0625e-05, 3.7849e-06, 5.0738e-06, 9.2713e-07, -5.6252e-06, -4.6231e-06, -3.0976e-06, 1.0058e-05, 2.6245e-06], device='cuda:0') 100 0.0001 changing lr epoch 139, time 214.22, cls_loss 0.0014 cls_loss_mapping 0.0063 cls_loss_causal 0.5208 re_mapping 0.0060 re_causal 0.0182 /// teacc 99.12 lr 0.00010000 Epoch 141, weight, value: tensor([[-0.0562, 0.0274, 0.0207, ..., -0.0582, -0.0594, 0.0580], [-0.0427, -0.0111, -0.0674, ..., 0.1285, -0.0644, -0.0492], [-0.0183, -0.0172, 0.1637, ..., -0.0863, -0.1073, -0.0738], ..., [-0.0573, -0.0498, -0.0030, ..., -0.0115, 0.0851, -0.0323], [-0.0650, -0.0508, -0.0420, ..., -0.0945, 0.0045, -0.1066], [-0.1388, -0.0334, -0.1062, ..., -0.0897, 0.0048, 0.0792]], device='cuda:0'), grad: tensor([[ 5.5600e-07, 0.0000e+00, -8.8150e-07, ..., 2.9150e-07, 1.1083e-07, -2.7707e-07], [ 1.0626e-06, 0.0000e+00, 1.7113e-07, ..., -1.9628e-07, 1.2130e-07, 1.3085e-06], [ 4.7777e-07, 0.0000e+00, 4.4331e-07, ..., 6.8219e-08, 1.1222e-07, 1.4892e-06], ..., [ 1.5544e-06, 0.0000e+00, -5.4436e-07, ..., 4.7032e-08, -1.2396e-06, 2.7362e-06], [ 4.3772e-07, 0.0000e+00, 1.0710e-07, ..., 2.3213e-07, 4.2375e-08, 1.7378e-06], [ 7.1153e-06, 0.0000e+00, 4.2445e-07, ..., 9.8255e-08, 1.5763e-07, -4.2841e-06]], device='cuda:0') Epoch 141, bias, value: tensor([-0.0336, -0.0296, 0.0141, 0.0330, -0.0242, 0.0008, -0.0091, 0.0128, 0.0163, -0.0028], device='cuda:0'), grad: tensor([ 1.4901e-06, 6.9141e-06, 1.1355e-05, -2.9564e-05, -1.3217e-05, 5.1931e-06, -1.8142e-06, 5.7817e-06, 7.4580e-06, 6.3516e-06], device='cuda:0') 100 0.0001 changing lr epoch 140, time 214.41, cls_loss 0.0017 cls_loss_mapping 0.0042 cls_loss_causal 0.5145 re_mapping 0.0058 re_causal 0.0176 /// teacc 99.15 lr 0.00010000 Epoch 142, weight, value: tensor([[-0.0569, 0.0274, 0.0226, ..., -0.0584, -0.0598, 0.0586], [-0.0434, -0.0111, -0.0690, ..., 0.1298, -0.0645, -0.0494], [-0.0185, -0.0174, 0.1645, ..., -0.0880, -0.1075, -0.0748], ..., [-0.0584, -0.0499, -0.0030, ..., -0.0118, 0.0853, -0.0325], [-0.0660, -0.0511, -0.0422, ..., -0.0951, 0.0044, -0.1072], [-0.1420, -0.0334, -0.1066, ..., -0.0900, 0.0047, 0.0791]], device='cuda:0'), grad: tensor([[ 2.2142e-07, 0.0000e+00, 1.4119e-06, ..., 6.0955e-07, 2.1118e-07, 2.6729e-06], [ 5.1828e-07, 0.0000e+00, 8.7395e-06, ..., 7.5623e-07, 8.0839e-07, 2.1253e-06], [ 2.0559e-07, 0.0000e+00, -1.9193e-05, ..., -4.2133e-06, 1.2396e-06, 1.2424e-06], ..., [ 3.2294e-07, 0.0000e+00, -7.4506e-06, ..., 4.5728e-07, -8.4937e-06, 9.6411e-06], [ 4.4098e-07, 0.0000e+00, 3.3770e-06, ..., 7.3481e-07, 5.9744e-07, 1.8224e-05], [ 1.9884e-07, 0.0000e+00, -4.4107e-06, ..., 1.0571e-07, 6.6217e-07, -6.2168e-05]], device='cuda:0') Epoch 142, bias, value: tensor([-0.0328, -0.0294, 0.0139, 0.0328, -0.0217, 0.0012, -0.0101, 0.0127, 0.0161, -0.0042], device='cuda:0'), grad: tensor([ 1.0163e-05, 1.7211e-05, -2.4304e-05, 4.7088e-05, 2.7597e-05, 4.9137e-06, -7.9628e-08, -5.1260e-06, 3.4541e-05, -1.1206e-04], device='cuda:0') 100 0.0001 changing lr epoch 141, time 214.40, cls_loss 0.0016 cls_loss_mapping 0.0052 cls_loss_causal 0.5105 re_mapping 0.0061 re_causal 0.0191 /// teacc 99.01 lr 0.00010000 Epoch 143, weight, value: tensor([[-0.0584, 0.0273, 0.0223, ..., -0.0588, -0.0602, 0.0570], [-0.0437, -0.0112, -0.0695, ..., 0.1302, -0.0646, -0.0491], [-0.0187, -0.0174, 0.1645, ..., -0.0882, -0.1078, -0.0751], ..., [-0.0591, -0.0499, -0.0021, ..., -0.0121, 0.0856, -0.0326], [-0.0664, -0.0512, -0.0431, ..., -0.0957, 0.0042, -0.1075], [-0.1422, -0.0335, -0.1061, ..., -0.0902, 0.0046, 0.0803]], device='cuda:0'), grad: tensor([[ 5.1595e-07, 0.0000e+00, -9.3222e-05, ..., 9.0003e-06, 6.9337e-07, -1.1015e-04], [ 8.5076e-07, 6.9849e-10, 7.2364e-07, ..., 1.2785e-05, 1.0459e-06, 8.5682e-07], [ 2.9267e-07, 2.3283e-10, 1.5302e-06, ..., 5.1744e-06, 4.2282e-07, 1.7630e-06], ..., [ 2.4983e-07, 9.3132e-10, 1.3621e-07, ..., 2.0918e-06, 1.5832e-08, 8.6566e-07], [ 2.8387e-05, 2.3283e-10, 7.4387e-05, ..., 6.1083e-04, 3.8713e-05, 8.8632e-05], [ 6.6310e-07, 6.7521e-09, 8.9034e-06, ..., 5.6550e-06, 5.5972e-07, 1.0543e-05]], device='cuda:0') Epoch 143, bias, value: tensor([-0.0346, -0.0293, 0.0137, 0.0326, -0.0218, 0.0011, -0.0098, 0.0129, 0.0163, -0.0035], device='cuda:0'), grad: tensor([-2.4354e-04, 5.6952e-05, 2.4885e-05, 4.7892e-05, 3.8385e-05, 7.8321e-05, -2.7027e-03, 9.1568e-06, 2.6455e-03, 4.8757e-05], device='cuda:0') 100 0.0001 changing lr epoch 142, time 214.36, cls_loss 0.0015 cls_loss_mapping 0.0057 cls_loss_causal 0.5023 re_mapping 0.0061 re_causal 0.0190 /// teacc 99.14 lr 0.00010000 Epoch 144, weight, value: tensor([[-0.0587, 0.0272, 0.0230, ..., -0.0588, -0.0604, 0.0574], [-0.0443, -0.0112, -0.0699, ..., 0.1304, -0.0647, -0.0496], [-0.0186, -0.0172, 0.1643, ..., -0.0887, -0.1078, -0.0757], ..., [-0.0577, -0.0499, -0.0009, ..., -0.0124, 0.0866, -0.0327], [-0.0657, -0.0519, -0.0437, ..., -0.0966, 0.0041, -0.1076], [-0.1426, -0.0323, -0.1064, ..., -0.0905, 0.0046, 0.0805]], device='cuda:0'), grad: tensor([[ 6.9849e-10, 0.0000e+00, -1.2317e-07, ..., 5.3551e-08, 2.1677e-07, 1.0780e-07], [ 2.3283e-10, 0.0000e+00, 2.2841e-07, ..., -1.0608e-06, 3.2363e-07, 1.9511e-07], [ 6.9849e-10, 0.0000e+00, -2.1663e-06, ..., 2.2375e-07, 3.7136e-07, 1.8068e-07], ..., [ 0.0000e+00, 0.0000e+00, -1.1902e-06, ..., 9.0338e-08, -1.4314e-06, 5.5274e-07], [ 4.6566e-10, 0.0000e+00, 6.3842e-07, ..., 2.9011e-07, 1.1306e-06, 1.4147e-06], [ 0.0000e+00, 0.0000e+00, 3.6275e-07, ..., 3.2829e-08, 4.9872e-07, -7.9256e-07]], device='cuda:0') Epoch 144, bias, value: tensor([-0.0342, -0.0301, 0.0132, 0.0325, -0.0239, 0.0020, -0.0104, 0.0143, 0.0173, -0.0036], device='cuda:0'), grad: tensor([ 9.8161e-07, -7.6741e-07, -8.7777e-07, 4.0501e-05, 1.0226e-06, -7.2002e-05, 2.9549e-05, -1.4640e-06, 9.9652e-07, 2.0657e-06], device='cuda:0') 100 0.0001 changing lr epoch 143, time 214.25, cls_loss 0.0012 cls_loss_mapping 0.0034 cls_loss_causal 0.5289 re_mapping 0.0059 re_causal 0.0189 /// teacc 99.15 lr 0.00010000 Epoch 145, weight, value: tensor([[-0.0593, 0.0278, 0.0230, ..., -0.0593, -0.0611, 0.0574], [-0.0447, -0.0112, -0.0701, ..., 0.1308, -0.0648, -0.0494], [-0.0189, -0.0172, 0.1643, ..., -0.0890, -0.1081, -0.0762], ..., [-0.0577, -0.0500, -0.0005, ..., -0.0124, 0.0869, -0.0328], [-0.0660, -0.0525, -0.0438, ..., -0.0970, 0.0049, -0.1084], [-0.1427, -0.0316, -0.1067, ..., -0.0907, 0.0045, 0.0807]], device='cuda:0'), grad: tensor([[ 8.1491e-08, 0.0000e+00, -2.9523e-07, ..., 8.8010e-08, 3.7253e-08, -4.1490e-07], [ 2.0815e-07, 0.0000e+00, -3.2596e-08, ..., -2.0117e-06, 2.0815e-07, 3.0734e-08], [ 7.8231e-08, 0.0000e+00, 9.6858e-08, ..., 9.2341e-07, 2.0070e-07, 3.1665e-08], ..., [ 4.5169e-07, 0.0000e+00, -1.2508e-06, ..., 4.8662e-07, -1.5711e-06, 2.1094e-07], [ 1.5693e-07, 0.0000e+00, 4.4052e-07, ..., 1.8068e-07, 1.4110e-07, 1.6624e-07], [ 3.5204e-07, 0.0000e+00, 1.4827e-06, ..., 7.3574e-08, 1.0207e-06, -8.1956e-08]], device='cuda:0') Epoch 145, bias, value: tensor([-0.0346, -0.0299, 0.0127, 0.0322, -0.0239, 0.0021, -0.0105, 0.0147, 0.0175, -0.0036], device='cuda:0'), grad: tensor([-1.9651e-07, -3.6750e-06, 3.0752e-06, -6.8806e-06, -1.7378e-06, 5.5460e-07, 5.7975e-07, 1.6503e-06, 3.2727e-06, 3.3155e-06], device='cuda:0') 100 0.0001 changing lr epoch 144, time 214.45, cls_loss 0.0014 cls_loss_mapping 0.0060 cls_loss_causal 0.5314 re_mapping 0.0059 re_causal 0.0186 /// teacc 98.98 lr 0.00010000 Epoch 146, weight, value: tensor([[-0.0596, 0.0277, 0.0233, ..., -0.0594, -0.0616, 0.0576], [-0.0456, -0.0113, -0.0702, ..., 0.1314, -0.0648, -0.0495], [-0.0188, -0.0171, 0.1646, ..., -0.0892, -0.1084, -0.0769], ..., [-0.0580, -0.0500, -0.0004, ..., -0.0133, 0.0873, -0.0332], [-0.0664, -0.0526, -0.0439, ..., -0.0973, 0.0048, -0.1094], [-0.1432, -0.0316, -0.1071, ..., -0.0910, 0.0045, 0.0814]], device='cuda:0'), grad: tensor([[-5.8999e-07, 0.0000e+00, -1.5438e-04, ..., 6.6124e-08, 2.6915e-07, -3.9607e-05], [ 6.0536e-08, 0.0000e+00, 1.5423e-06, ..., -6.7614e-07, 3.7672e-07, 3.5390e-07], [ 6.8825e-07, 0.0000e+00, 1.2934e-04, ..., 7.3574e-08, 2.1188e-07, 3.7193e-05], ..., [ 1.0571e-07, 0.0000e+00, 6.3144e-06, ..., 1.3085e-07, -1.1362e-07, 1.0440e-06], [ 3.8650e-08, 0.0000e+00, 6.3479e-06, ..., 2.3190e-07, 8.5449e-07, 1.5860e-06], [ 2.6124e-07, 0.0000e+00, 7.5391e-07, ..., 6.9849e-08, 1.1632e-06, -7.3714e-07]], device='cuda:0') Epoch 146, bias, value: tensor([-0.0345, -0.0297, 0.0126, 0.0316, -0.0239, 0.0021, -0.0105, 0.0144, 0.0175, -0.0030], device='cuda:0'), grad: tensor([-1.7953e-04, 2.7455e-06, 1.5211e-04, -8.6203e-06, 2.1514e-06, -1.6436e-05, 1.0096e-05, 1.2308e-05, 2.2545e-05, 2.8256e-06], device='cuda:0') 100 0.0001 changing lr epoch 145, time 214.31, cls_loss 0.0015 cls_loss_mapping 0.0042 cls_loss_causal 0.5495 re_mapping 0.0059 re_causal 0.0191 /// teacc 99.03 lr 0.00010000 Epoch 147, weight, value: tensor([[-0.0599, 0.0277, 0.0238, ..., -0.0595, -0.0619, 0.0577], [-0.0463, -0.0114, -0.0709, ..., 0.1316, -0.0650, -0.0498], [-0.0192, -0.0174, 0.1651, ..., -0.0893, -0.1087, -0.0775], ..., [-0.0583, -0.0500, -0.0006, ..., -0.0133, 0.0872, -0.0335], [-0.0670, -0.0530, -0.0444, ..., -0.0976, 0.0046, -0.1101], [-0.1444, -0.0316, -0.1066, ..., -0.0912, 0.0048, 0.0817]], device='cuda:0'), grad: tensor([[ 1.2526e-07, 0.0000e+00, 1.7276e-07, ..., 2.7986e-07, 2.5146e-07, -2.1160e-06], [ 1.3616e-06, 0.0000e+00, 5.1083e-07, ..., -2.3711e-06, 2.4959e-06, 1.7462e-07], [ 1.2480e-07, 0.0000e+00, -2.2035e-06, ..., 5.6578e-07, 2.7940e-07, 1.1874e-07], ..., [-1.2420e-05, 0.0000e+00, -1.1772e-06, ..., 2.4121e-07, -2.3589e-05, 1.8626e-07], [ 2.9756e-07, 0.0000e+00, 6.3702e-07, ..., 9.2760e-07, 5.5926e-07, 1.7928e-07], [ 7.4646e-07, 0.0000e+00, 9.5088e-07, ..., 4.0838e-07, 3.4347e-06, -1.7509e-06]], device='cuda:0') Epoch 147, bias, value: tensor([-0.0345, -0.0301, 0.0124, 0.0319, -0.0233, 0.0021, -0.0106, 0.0130, 0.0173, -0.0014], device='cuda:0'), grad: tensor([-3.3854e-07, 4.3400e-06, 3.4440e-06, 9.7379e-06, 6.0558e-05, -2.7083e-06, 2.0377e-06, -7.8619e-05, -6.9328e-06, 8.3670e-06], device='cuda:0') 100 0.0001 changing lr epoch 146, time 214.00, cls_loss 0.0018 cls_loss_mapping 0.0049 cls_loss_causal 0.5408 re_mapping 0.0058 re_causal 0.0183 /// teacc 99.12 lr 0.00010000 Epoch 148, weight, value: tensor([[-0.0603, 0.0277, 0.0237, ..., -0.0595, -0.0626, 0.0574], [-0.0497, -0.0114, -0.0724, ..., 0.1312, -0.0653, -0.0507], [-0.0162, -0.0174, 0.1665, ..., -0.0877, -0.1089, -0.0780], ..., [-0.0585, -0.0500, -0.0003, ..., -0.0135, 0.0879, -0.0335], [-0.0691, -0.0531, -0.0454, ..., -0.0985, 0.0044, -0.1104], [-0.1446, -0.0316, -0.1069, ..., -0.0915, 0.0044, 0.0826]], device='cuda:0'), grad: tensor([[ 1.6298e-08, 2.0023e-08, -7.2643e-07, ..., 2.3413e-06, 2.4214e-08, -1.0282e-06], [ 8.0094e-08, 1.1642e-08, 2.5798e-07, ..., -3.6299e-05, 5.0804e-07, -2.1188e-07], [ 4.8289e-07, -2.5751e-07, -4.7311e-06, ..., 1.4482e-06, 3.3062e-08, 2.3749e-08], ..., [ 2.3004e-07, 5.6811e-08, -7.6788e-07, ..., 3.0771e-06, -1.4473e-06, -1.8766e-07], [ 1.1548e-07, 8.8476e-08, 3.1609e-06, ..., 4.7572e-06, 2.6170e-07, 3.2131e-07], [ 1.0869e-06, 2.0489e-08, 1.9539e-06, ..., 2.2668e-06, 8.2888e-07, 1.1055e-06]], device='cuda:0') Epoch 148, bias, value: tensor([-0.0349, -0.0324, 0.0152, 0.0318, -0.0253, 0.0018, -0.0106, 0.0134, 0.0167, -0.0003], device='cuda:0'), grad: tensor([ 3.5707e-06, -7.1526e-05, -2.3171e-06, 4.2375e-07, 8.0988e-06, 5.7183e-06, 2.7403e-05, 2.7008e-06, 1.5065e-05, 1.0870e-05], device='cuda:0') 100 0.0001 changing lr epoch 147, time 214.43, cls_loss 0.0026 cls_loss_mapping 0.0072 cls_loss_causal 0.5606 re_mapping 0.0059 re_causal 0.0185 /// teacc 98.99 lr 0.00010000 Epoch 149, weight, value: tensor([[-0.0608, 0.0277, 0.0237, ..., -0.0601, -0.0640, 0.0574], [-0.0499, -0.0114, -0.0730, ..., 0.1314, -0.0659, -0.0499], [-0.0163, -0.0174, 0.1667, ..., -0.0895, -0.1093, -0.0793], ..., [-0.0596, -0.0500, 0.0003, ..., -0.0118, 0.0884, -0.0336], [-0.0698, -0.0532, -0.0459, ..., -0.0994, 0.0043, -0.1116], [-0.1472, -0.0316, -0.1071, ..., -0.0929, 0.0042, 0.0824]], device='cuda:0'), grad: tensor([[ 1.0524e-07, 0.0000e+00, -2.3562e-07, ..., 1.0943e-07, 1.0291e-07, 4.2375e-08], [ 1.7975e-07, 0.0000e+00, 4.0606e-07, ..., -4.2329e-07, 3.1898e-07, 3.2596e-07], [ 4.3539e-07, 0.0000e+00, 6.2361e-06, ..., 1.7369e-07, 3.8818e-06, 8.8103e-07], ..., [ 9.2713e-07, 0.0000e+00, -1.0006e-05, ..., 3.4319e-07, -6.1728e-06, 1.7863e-06], [ 4.1630e-07, 0.0000e+00, 1.6950e-07, ..., 3.1628e-06, 3.0100e-06, 2.9150e-06], [ 2.7139e-06, 0.0000e+00, 5.3039e-07, ..., 2.6356e-07, 3.1805e-07, 3.1535e-06]], device='cuda:0') Epoch 149, bias, value: tensor([-0.0353, -0.0328, 0.0146, 0.0328, -0.0227, 0.0008, -0.0099, 0.0141, 0.0162, -0.0026], device='cuda:0'), grad: tensor([ 7.9535e-07, 1.7658e-06, 1.6481e-05, -2.9668e-05, 1.2461e-06, -1.7926e-05, -5.1670e-06, -1.0461e-05, 2.8327e-05, 1.4536e-05], device='cuda:0') 100 0.0001 changing lr epoch 148, time 214.09, cls_loss 0.0015 cls_loss_mapping 0.0057 cls_loss_causal 0.5447 re_mapping 0.0061 re_causal 0.0190 /// teacc 99.05 lr 0.00010000 Epoch 150, weight, value: tensor([[-0.0613, 0.0276, 0.0240, ..., -0.0609, -0.0643, 0.0576], [-0.0499, -0.0114, -0.0731, ..., 0.1333, -0.0660, -0.0500], [-0.0164, -0.0188, 0.1666, ..., -0.0901, -0.1103, -0.0798], ..., [-0.0599, -0.0494, 0.0013, ..., -0.0133, 0.0892, -0.0337], [-0.0709, -0.0532, -0.0460, ..., -0.1008, 0.0039, -0.1124], [-0.1475, -0.0312, -0.1075, ..., -0.0935, 0.0040, 0.0826]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -1.0449e-06, ..., 1.5832e-08, 3.3993e-08, -1.6242e-06], [ 1.3970e-09, 0.0000e+00, 4.7730e-07, ..., -3.8650e-07, 2.8033e-07, 1.9837e-07], [ 2.7940e-09, 0.0000e+00, -5.2154e-06, ..., 1.1688e-07, 1.3504e-08, 1.8766e-07], ..., [ 4.6566e-10, 0.0000e+00, 3.6824e-06, ..., 1.6158e-07, -1.0515e-06, 3.3434e-07], [ 3.2596e-09, 0.0000e+00, -5.9092e-07, ..., 4.2841e-08, -9.7789e-09, 6.5751e-07], [ 4.6566e-10, 0.0000e+00, 1.4538e-06, ..., 1.3504e-08, 4.1490e-07, 3.5949e-07]], device='cuda:0') Epoch 150, bias, value: tensor([-0.0354, -0.0321, 0.0143, 0.0323, -0.0229, 0.0012, -0.0096, 0.0142, 0.0157, -0.0026], device='cuda:0'), grad: tensor([-1.6605e-06, 1.2256e-06, -4.9584e-06, -2.1443e-05, 5.9977e-07, 1.9655e-05, 4.9965e-07, 4.5896e-06, -1.9781e-06, 3.4589e-06], device='cuda:0') 100 0.0001 changing lr epoch 149, time 214.07, cls_loss 0.0017 cls_loss_mapping 0.0040 cls_loss_causal 0.5188 re_mapping 0.0059 re_causal 0.0178 /// teacc 99.07 lr 0.00010000 Epoch 151, weight, value: tensor([[-0.0622, 0.0277, 0.0244, ..., -0.0607, -0.0646, 0.0573], [-0.0500, -0.0115, -0.0758, ..., 0.1326, -0.0661, -0.0503], [-0.0164, -0.0188, 0.1688, ..., -0.0885, -0.1103, -0.0808], ..., [-0.0601, -0.0494, 0.0011, ..., -0.0138, 0.0895, -0.0338], [-0.0715, -0.0533, -0.0465, ..., -0.1022, 0.0031, -0.1140], [-0.1476, -0.0313, -0.1076, ..., -0.0941, 0.0038, 0.0830]], device='cuda:0'), grad: tensor([[ 3.2596e-09, 0.0000e+00, 8.1491e-08, ..., 2.0908e-07, 4.6566e-09, 6.2864e-08], [ 1.3970e-09, 0.0000e+00, -8.6147e-07, ..., -9.9540e-05, 2.7940e-08, 7.3109e-08], [ 1.8626e-09, 0.0000e+00, -3.2615e-06, ..., 9.0063e-05, 4.2375e-08, 1.0012e-07], ..., [ 4.1910e-09, 0.0000e+00, 1.7257e-06, ..., 1.4370e-06, -1.7742e-07, 5.6578e-07], [ 5.5879e-09, 0.0000e+00, 1.5460e-06, ..., 2.5537e-06, 2.0955e-08, 2.8685e-07], [ 4.6566e-10, 0.0000e+00, 1.2200e-07, ..., 1.1828e-06, 3.9116e-08, -1.7863e-06]], device='cuda:0') Epoch 151, bias, value: tensor([-0.0356, -0.0332, 0.0156, 0.0322, -0.0230, 0.0016, -0.0101, 0.0141, 0.0151, -0.0025], device='cuda:0'), grad: tensor([ 7.7067e-07, -2.1219e-04, 1.8823e-04, 2.1420e-08, 5.0664e-06, 1.3085e-06, 2.9355e-06, 6.0983e-06, 8.0466e-06, 3.4459e-08], device='cuda:0') 100 0.0001 changing lr epoch 150, time 214.11, cls_loss 0.0014 cls_loss_mapping 0.0039 cls_loss_causal 0.5362 re_mapping 0.0059 re_causal 0.0178 /// teacc 99.14 lr 0.00010000 Epoch 152, weight, value: tensor([[-0.0630, 0.0277, 0.0260, ..., -0.0611, -0.0649, 0.0584], [-0.0503, -0.0115, -0.0757, ..., 0.1334, -0.0662, -0.0508], [-0.0164, -0.0188, 0.1688, ..., -0.0892, -0.1109, -0.0826], ..., [-0.0602, -0.0494, 0.0014, ..., -0.0141, 0.0899, -0.0341], [-0.0720, -0.0534, -0.0467, ..., -0.1029, 0.0028, -0.1150], [-0.1477, -0.0314, -0.1079, ..., -0.0943, 0.0038, 0.0835]], device='cuda:0'), grad: tensor([[ 1.5367e-08, 0.0000e+00, -3.2596e-08, ..., 9.1270e-08, 3.4459e-08, 5.1642e-07], [ 2.5611e-08, 0.0000e+00, 4.6007e-07, ..., -1.0747e-06, 2.3982e-07, 1.7835e-07], [ 2.3283e-08, 0.0000e+00, 9.0059e-07, ..., 6.3796e-07, 5.2014e-07, 2.5239e-07], ..., [ 5.8208e-08, 0.0000e+00, -1.9446e-06, ..., 2.4494e-07, -1.0394e-06, 2.3516e-07], [ 2.1420e-08, 0.0000e+00, -7.9162e-09, ..., 7.5437e-08, 1.0943e-07, 2.1029e-06], [ 9.6392e-08, 0.0000e+00, 2.2398e-07, ..., 6.7987e-08, 1.6717e-07, -8.6054e-06]], device='cuda:0') Epoch 152, bias, value: tensor([-0.0349, -0.0330, 0.0152, 0.0321, -0.0231, 0.0014, -0.0096, 0.0141, 0.0150, -0.0023], device='cuda:0'), grad: tensor([ 1.7826e-06, -5.3691e-07, 7.3239e-06, 1.4372e-05, 3.9488e-06, -1.1586e-06, 3.1758e-07, -2.3115e-06, -3.7234e-06, -2.0102e-05], device='cuda:0') 100 0.0001 changing lr epoch 151, time 214.15, cls_loss 0.0016 cls_loss_mapping 0.0062 cls_loss_causal 0.5251 re_mapping 0.0057 re_causal 0.0176 /// teacc 98.99 lr 0.00010000 Epoch 153, weight, value: tensor([[-0.0629, 0.0277, 0.0273, ..., -0.0603, -0.0654, 0.0589], [-0.0505, -0.0115, -0.0766, ..., 0.1341, -0.0662, -0.0509], [-0.0165, -0.0187, 0.1688, ..., -0.0896, -0.1123, -0.0834], ..., [-0.0605, -0.0494, 0.0024, ..., -0.0146, 0.0906, -0.0341], [-0.0722, -0.0534, -0.0470, ..., -0.1037, 0.0020, -0.1166], [-0.1480, -0.0314, -0.1085, ..., -0.0948, 0.0035, 0.0836]], device='cuda:0'), grad: tensor([[ 3.4459e-08, 1.4901e-08, -2.2855e-06, ..., 1.5832e-07, 1.0198e-07, -2.4773e-06], [ 2.2817e-08, 1.3970e-08, 1.3914e-06, ..., -4.3958e-07, 5.8301e-07, 2.5332e-07], [ 3.0268e-08, 5.5879e-09, -4.0859e-05, ..., 2.4447e-07, 7.6042e-07, 5.6205e-07], ..., [ 1.8626e-08, 8.5169e-07, -4.4741e-06, ..., 1.2806e-07, -3.5875e-06, 9.2536e-06], [ 2.0489e-08, 6.0536e-09, 3.7819e-05, ..., 2.3935e-07, -4.3353e-07, 2.2771e-07], [ 1.2806e-07, -1.0896e-06, 2.4326e-06, ..., 2.8871e-08, 8.9686e-07, -1.0930e-05]], device='cuda:0') Epoch 153, bias, value: tensor([-0.0343, -0.0329, 0.0142, 0.0320, -0.0231, 0.0016, -0.0096, 0.0151, 0.0144, -0.0023], device='cuda:0'), grad: tensor([-1.5777e-06, 2.9057e-06, -6.1452e-05, 9.5293e-06, 2.7977e-06, 6.2883e-06, 7.2159e-06, 1.0565e-05, 4.2349e-05, -1.8582e-05], device='cuda:0') 100 0.0001 changing lr epoch 152, time 214.27, cls_loss 0.0015 cls_loss_mapping 0.0045 cls_loss_causal 0.5166 re_mapping 0.0058 re_causal 0.0176 /// teacc 99.13 lr 0.00010000 Epoch 154, weight, value: tensor([[-0.0632, 0.0277, 0.0278, ..., -0.0604, -0.0660, 0.0590], [-0.0506, -0.0117, -0.0766, ..., 0.1347, -0.0664, -0.0512], [-0.0167, -0.0189, 0.1682, ..., -0.0901, -0.1131, -0.0846], ..., [-0.0607, -0.0492, 0.0028, ..., -0.0148, 0.0911, -0.0343], [-0.0725, -0.0541, -0.0453, ..., -0.1043, 0.0017, -0.1159], [-0.1481, -0.0312, -0.1088, ..., -0.0951, 0.0033, 0.0841]], device='cuda:0'), grad: tensor([[ 1.3597e-07, -9.3132e-10, 6.9942e-07, ..., 3.4459e-08, 1.7975e-07, 5.8208e-08], [ 5.8254e-07, 0.0000e+00, 1.7788e-06, ..., -7.0920e-07, 6.0583e-07, 2.3516e-07], [ 1.6857e-07, 0.0000e+00, -7.7337e-06, ..., 4.0513e-07, 1.7975e-07, 7.9162e-08], ..., [ 1.1800e-06, -0.0000e+00, 8.1025e-07, ..., 1.0710e-07, 1.9968e-06, 2.6524e-06], [ 1.5600e-07, 0.0000e+00, 3.4720e-06, ..., 4.0513e-08, -2.8461e-06, 6.1048e-07], [ 1.7295e-06, 9.3132e-10, 1.0431e-07, ..., 1.9558e-08, 5.6298e-07, -4.9062e-06]], device='cuda:0') Epoch 154, bias, value: tensor([-0.0343, -0.0328, 0.0132, 0.0316, -0.0233, 0.0017, -0.0093, 0.0154, 0.0161, -0.0022], device='cuda:0'), grad: tensor([ 1.8310e-06, 4.0941e-06, -1.0230e-05, 3.6173e-06, -7.7486e-07, -5.9530e-06, 2.8405e-06, 1.3538e-05, -1.1176e-08, -9.0152e-06], device='cuda:0') 100 0.0001 changing lr epoch 153, time 214.19, cls_loss 0.0015 cls_loss_mapping 0.0036 cls_loss_causal 0.5228 re_mapping 0.0055 re_causal 0.0172 /// teacc 99.10 lr 0.00010000 Epoch 155, weight, value: tensor([[-0.0635, 0.0298, 0.0282, ..., -0.0608, -0.0669, 0.0593], [-0.0507, -0.0118, -0.0765, ..., 0.1357, -0.0665, -0.0515], [-0.0167, -0.0192, 0.1686, ..., -0.0907, -0.1130, -0.0854], ..., [-0.0611, -0.0495, 0.0027, ..., -0.0153, 0.0912, -0.0348], [-0.0730, -0.0553, -0.0458, ..., -0.1044, 0.0018, -0.1160], [-0.1483, -0.0320, -0.1093, ..., -0.0957, 0.0026, 0.0838]], device='cuda:0'), grad: tensor([[ 2.3283e-09, -1.5879e-07, -4.9500e-07, ..., 1.9558e-08, 2.5798e-07, 2.9942e-07], [ 9.3132e-09, 2.0023e-08, 1.2927e-06, ..., -1.2806e-07, 1.2107e-06, 5.1484e-06], [ 3.2596e-09, 2.4680e-08, -1.1530e-06, ..., 3.1665e-08, 5.4669e-07, 9.3319e-07], ..., [ 5.3551e-08, 2.3283e-09, -4.5672e-06, ..., 7.2177e-08, -4.9360e-06, 7.1935e-06], [ 3.2596e-09, 9.7789e-09, 6.6916e-07, ..., 2.4680e-08, 2.9104e-07, 3.7216e-06], [ 6.0536e-09, 4.4238e-08, 7.7626e-07, ..., 1.0245e-08, 1.0645e-06, -4.5985e-05]], device='cuda:0') Epoch 155, bias, value: tensor([-0.0343, -0.0323, 0.0131, 0.0315, -0.0234, 0.0024, -0.0100, 0.0150, 0.0166, -0.0029], device='cuda:0'), grad: tensor([ 1.0040e-06, 1.3866e-05, 2.9635e-06, 1.3284e-05, 6.7428e-06, 2.9907e-05, 1.0822e-06, 8.5980e-06, 9.7081e-06, -8.7082e-05], device='cuda:0') 100 0.0001 changing lr epoch 154, time 214.53, cls_loss 0.0014 cls_loss_mapping 0.0038 cls_loss_causal 0.5122 re_mapping 0.0056 re_causal 0.0171 /// teacc 99.09 lr 0.00010000 Epoch 156, weight, value: tensor([[-0.0644, 0.0297, 0.0281, ..., -0.0612, -0.0680, 0.0592], [-0.0508, -0.0124, -0.0768, ..., 0.1364, -0.0668, -0.0517], [-0.0170, -0.0192, 0.1690, ..., -0.0907, -0.1133, -0.0862], ..., [-0.0616, -0.0495, 0.0029, ..., -0.0162, 0.0917, -0.0349], [-0.0736, -0.0557, -0.0463, ..., -0.1046, 0.0016, -0.1164], [-0.1489, -0.0321, -0.1094, ..., -0.0963, 0.0024, 0.0841]], device='cuda:0'), grad: tensor([[ 2.0750e-06, -4.1910e-09, 1.3681e-06, ..., 4.3362e-06, 7.8231e-08, 3.4273e-06], [ 6.7055e-08, 0.0000e+00, 1.2387e-07, ..., -8.8476e-09, 2.9569e-07, 1.3178e-07], [ 5.2620e-08, 4.6566e-10, -4.8429e-07, ..., 8.1025e-08, 2.4214e-08, 7.8697e-08], ..., [ 4.7032e-08, 0.0000e+00, -1.4715e-07, ..., 1.5832e-08, -5.8673e-07, 6.8173e-07], [ 3.4645e-07, 0.0000e+00, -1.2871e-06, ..., 6.2445e-07, 3.8091e-07, 1.3644e-06], [ 7.6834e-08, 1.3970e-09, 1.3877e-07, ..., 4.6100e-08, 1.4016e-07, -3.1926e-06]], device='cuda:0') Epoch 156, bias, value: tensor([-0.0349, -0.0322, 0.0132, 0.0315, -0.0232, 0.0024, -0.0102, 0.0150, 0.0166, -0.0030], device='cuda:0'), grad: tensor([ 2.4021e-05, 1.1530e-06, 9.5926e-08, -5.8487e-06, 4.1351e-06, 1.1232e-06, -2.0966e-05, 6.0908e-07, -5.4482e-08, -4.2655e-06], device='cuda:0') 100 0.0001 changing lr epoch 155, time 214.54, cls_loss 0.0012 cls_loss_mapping 0.0033 cls_loss_causal 0.5003 re_mapping 0.0059 re_causal 0.0176 /// teacc 99.00 lr 0.00010000 Epoch 157, weight, value: tensor([[-0.0644, 0.0308, 0.0280, ..., -0.0616, -0.0686, 0.0591], [-0.0509, -0.0130, -0.0770, ..., 0.1367, -0.0672, -0.0522], [-0.0171, -0.0191, 0.1696, ..., -0.0908, -0.1133, -0.0865], ..., [-0.0620, -0.0495, 0.0027, ..., -0.0165, 0.0931, -0.0350], [-0.0746, -0.0561, -0.0470, ..., -0.1049, 0.0010, -0.1172], [-0.1490, -0.0322, -0.1095, ..., -0.0965, 0.0023, 0.0847]], device='cuda:0'), grad: tensor([[ 4.0978e-08, 0.0000e+00, 3.1199e-08, ..., -4.6566e-10, 1.2387e-07, -8.8476e-08], [ 2.2445e-07, 0.0000e+00, 9.8348e-07, ..., -4.4703e-08, 5.6531e-07, 1.4901e-08], [ 1.3597e-07, 0.0000e+00, 7.1293e-07, ..., 2.7940e-08, 7.4413e-07, 2.0489e-08], ..., [ 4.9826e-07, 0.0000e+00, -1.4547e-06, ..., 4.9360e-08, -2.5518e-06, 2.0443e-07], [ 5.5414e-08, 0.0000e+00, 1.0980e-06, ..., 1.0245e-08, 8.1444e-07, 4.4238e-08], [ 2.0023e-08, 0.0000e+00, 4.3586e-07, ..., 5.5879e-09, 3.4506e-07, -2.3516e-07]], device='cuda:0') Epoch 157, bias, value: tensor([-0.0351, -0.0322, 0.0133, 0.0311, -0.0233, 0.0024, -0.0102, 0.0156, 0.0159, -0.0026], device='cuda:0'), grad: tensor([ 9.5228e-07, 2.9150e-06, 8.0168e-06, -1.5318e-05, -1.5274e-06, -6.8955e-06, 2.5667e-06, -1.6624e-07, 8.4937e-06, 8.9128e-07], device='cuda:0') 100 0.0001 changing lr epoch 156, time 214.57, cls_loss 0.0011 cls_loss_mapping 0.0028 cls_loss_causal 0.5258 re_mapping 0.0054 re_causal 0.0176 /// teacc 99.02 lr 0.00010000 Epoch 158, weight, value: tensor([[-0.0648, 0.0309, 0.0285, ..., -0.0617, -0.0690, 0.0594], [-0.0511, -0.0131, -0.0772, ..., 0.1371, -0.0674, -0.0522], [-0.0171, -0.0191, 0.1697, ..., -0.0909, -0.1134, -0.0870], ..., [-0.0622, -0.0494, 0.0027, ..., -0.0170, 0.0933, -0.0352], [-0.0749, -0.0561, -0.0469, ..., -0.1050, 0.0008, -0.1175], [-0.1489, -0.0322, -0.1096, ..., -0.0967, 0.0023, 0.0855]], device='cuda:0'), grad: tensor([[ 2.1663e-06, 2.3283e-09, -1.2852e-07, ..., 9.2015e-07, 9.3598e-08, -2.9616e-07], [ 6.3896e-04, 2.7940e-09, 1.5739e-07, ..., 2.3985e-04, 7.0315e-08, 3.8184e-08], [ 1.8589e-06, -1.6298e-08, -5.8068e-07, ..., 6.9803e-07, 2.1188e-07, 8.5682e-08], ..., [ 1.4164e-05, 4.1910e-09, -3.5856e-08, ..., 5.1036e-06, -2.7055e-07, 2.3749e-08], [ 2.0593e-05, 9.3132e-10, 5.7276e-08, ..., 7.6368e-06, 1.6112e-07, 2.0536e-07], [ 6.0946e-06, 0.0000e+00, 1.1222e-07, ..., 1.7006e-06, 1.5600e-07, 1.9278e-07]], device='cuda:0') Epoch 158, bias, value: tensor([-0.0349, -0.0322, 0.0132, 0.0312, -0.0238, 0.0024, -0.0102, 0.0154, 0.0161, -0.0020], device='cuda:0'), grad: tensor([ 5.9195e-06, 1.5030e-03, 5.2415e-06, -8.9854e-06, -1.6298e-03, 5.9791e-06, 1.9357e-05, 3.2991e-05, 4.9919e-05, 1.5110e-05], device='cuda:0') 100 0.0001 changing lr epoch 157, time 214.38, cls_loss 0.0017 cls_loss_mapping 0.0061 cls_loss_causal 0.5358 re_mapping 0.0056 re_causal 0.0174 /// teacc 99.14 lr 0.00010000 Epoch 159, weight, value: tensor([[-0.0655, 0.0309, 0.0286, ..., -0.0623, -0.0694, 0.0594], [-0.0524, -0.0132, -0.0777, ..., 0.1373, -0.0683, -0.0524], [-0.0172, -0.0191, 0.1700, ..., -0.0911, -0.1136, -0.0877], ..., [-0.0629, -0.0496, 0.0030, ..., -0.0169, 0.0938, -0.0358], [-0.0756, -0.0562, -0.0475, ..., -0.1058, 0.0006, -0.1179], [-0.1483, -0.0322, -0.1092, ..., -0.0977, 0.0019, 0.0868]], device='cuda:0'), grad: tensor([[ 2.0768e-07, 0.0000e+00, 8.5235e-06, ..., 7.2084e-07, 5.1223e-09, 1.6391e-07], [ 2.2352e-07, 0.0000e+00, 2.5053e-07, ..., 3.6508e-07, 1.2573e-08, 5.9139e-08], [ 1.7555e-07, 0.0000e+00, -2.8357e-05, ..., 5.3551e-07, 2.7940e-09, -6.8918e-07], ..., [ 7.3574e-08, 0.0000e+00, 1.4246e-05, ..., 1.2759e-07, 3.2596e-09, 3.7998e-07], [ 2.5844e-07, 0.0000e+00, 2.1812e-06, ..., 8.5961e-07, 1.1642e-08, 9.9186e-08], [ 5.1921e-07, 0.0000e+00, 1.2452e-06, ..., 1.5460e-07, 4.6566e-09, -6.5193e-08]], device='cuda:0') Epoch 159, bias, value: tensor([-0.0353, -0.0325, 0.0131, 0.0314, -0.0242, 0.0024, -0.0105, 0.0150, 0.0157, -0.0009], device='cuda:0'), grad: tensor([ 1.8060e-05, 7.1302e-06, -3.1352e-05, 4.6566e-06, 2.3209e-06, 1.4216e-05, 2.4885e-06, 1.9908e-05, -4.2170e-05, 4.7721e-06], device='cuda:0') 100 0.0001 changing lr epoch 158, time 214.36, cls_loss 0.0019 cls_loss_mapping 0.0046 cls_loss_causal 0.5236 re_mapping 0.0054 re_causal 0.0174 /// teacc 99.05 lr 0.00010000 Epoch 160, weight, value: tensor([[-0.0679, 0.0309, 0.0288, ..., -0.0628, -0.0702, 0.0594], [-0.0525, -0.0132, -0.0788, ..., 0.1385, -0.0669, -0.0525], [-0.0173, -0.0190, 0.1704, ..., -0.0912, -0.1138, -0.0884], ..., [-0.0635, -0.0496, 0.0037, ..., -0.0181, 0.0920, -0.0360], [-0.0762, -0.0564, -0.0477, ..., -0.1063, 0.0002, -0.1183], [-0.1504, -0.0323, -0.1096, ..., -0.0986, 0.0017, 0.0867]], device='cuda:0'), grad: tensor([[ 4.5123e-07, -3.1758e-07, -6.9737e-06, ..., 1.1455e-07, 7.1945e-07, -3.2634e-06], [ 2.9011e-07, 5.4948e-08, 5.8450e-06, ..., -1.7229e-08, 2.9951e-06, 6.1952e-06], [ 3.0883e-06, 5.8673e-08, 1.1817e-05, ..., 1.4575e-07, 5.3719e-06, 1.1139e-06], ..., [-1.6108e-05, 3.3993e-08, -7.1585e-05, ..., 1.7695e-08, -3.5524e-05, 4.3726e-07], [ 6.3144e-07, 2.7940e-08, 3.0175e-06, ..., 1.4482e-07, 6.5519e-07, 7.5139e-06], [-2.8033e-07, 6.1467e-08, 8.5011e-06, ..., 6.0536e-09, 4.3474e-06, -2.0206e-05]], device='cuda:0') Epoch 160, bias, value: tensor([-0.0356, -0.0306, 0.0131, 0.0314, -0.0228, 0.0023, -0.0098, 0.0129, 0.0159, -0.0022], device='cuda:0'), grad: tensor([-1.3679e-05, 2.7880e-05, 2.7031e-05, 7.5102e-06, 9.8825e-05, 6.1281e-06, 2.6589e-07, -1.5247e-04, 2.1711e-05, -2.3469e-05], device='cuda:0') 100 0.0001 changing lr epoch 159, time 214.72, cls_loss 0.0015 cls_loss_mapping 0.0041 cls_loss_causal 0.5165 re_mapping 0.0057 re_causal 0.0172 /// teacc 99.03 lr 0.00010000 Epoch 161, weight, value: tensor([[-6.8279e-02, 3.0579e-02, 2.9146e-02, ..., -6.3350e-02, -7.1427e-02, 5.9344e-02], [-5.2589e-02, -1.3298e-02, -7.9189e-02, ..., 1.3854e-01, -6.6791e-02, -5.2733e-02], [-1.7388e-02, -1.8905e-02, 1.7098e-01, ..., -9.1212e-02, -1.1421e-01, -8.8876e-02], ..., [-6.3684e-02, -4.9622e-02, 3.8739e-03, ..., -1.8021e-02, 9.2139e-02, -3.5906e-02], [-7.6401e-02, -5.7245e-02, -4.8480e-02, ..., -1.0694e-01, -6.7365e-05, -1.1950e-01], [-1.5077e-01, -3.2491e-02, -1.1020e-01, ..., -9.9275e-02, 1.1000e-03, 8.7266e-02]], device='cuda:0'), grad: tensor([[ 2.0955e-08, 0.0000e+00, 2.1886e-08, ..., 2.4680e-08, 5.4482e-08, 8.7544e-08], [ 1.8161e-07, 0.0000e+00, 2.8079e-07, ..., -8.7079e-08, 3.4273e-07, 2.4168e-07], [ 7.2643e-08, 0.0000e+00, -4.1910e-09, ..., 5.5879e-08, 3.0082e-07, 7.6368e-08], ..., [ 3.8324e-07, 0.0000e+00, -7.4413e-07, ..., 8.3353e-08, -7.3109e-07, 2.4913e-07], [ 5.1688e-08, 0.0000e+00, 1.0245e-07, ..., 4.2375e-08, 2.1607e-07, 2.5937e-07], [ 8.7544e-07, 0.0000e+00, 3.3993e-08, ..., 6.0070e-08, 3.2177e-07, -6.0583e-07]], device='cuda:0') Epoch 161, bias, value: tensor([-0.0360, -0.0307, 0.0133, 0.0315, -0.0227, 0.0026, -0.0107, 0.0131, 0.0153, -0.0024], device='cuda:0'), grad: tensor([ 6.5705e-07, 2.4606e-06, 1.9763e-06, -1.3143e-05, 1.4622e-07, -4.5486e-06, 2.3823e-06, 1.3690e-07, -3.0994e-06, 1.3031e-05], device='cuda:0') 100 0.0001 changing lr epoch 160, time 214.46, cls_loss 0.0012 cls_loss_mapping 0.0044 cls_loss_causal 0.5080 re_mapping 0.0055 re_causal 0.0175 /// teacc 99.14 lr 0.00010000 Epoch 162, weight, value: tensor([[-6.8843e-02, 3.0587e-02, 2.9510e-02, ..., -6.3816e-02, -7.1728e-02, 5.9449e-02], [-5.2665e-02, -1.3302e-02, -7.9312e-02, ..., 1.3877e-01, -6.6852e-02, -5.3085e-02], [-1.7459e-02, -1.8901e-02, 1.7113e-01, ..., -9.1352e-02, -1.1448e-01, -8.9509e-02], ..., [-6.4011e-02, -4.9622e-02, 4.0680e-03, ..., -1.8030e-02, 9.2546e-02, -3.5394e-02], [-7.6856e-02, -5.7283e-02, -4.8657e-02, ..., -1.0736e-01, -3.7131e-04, -1.2013e-01], [-1.5100e-01, -3.2489e-02, -1.1037e-01, ..., -9.9880e-02, -1.0259e-04, 8.7237e-02]], device='cuda:0'), grad: tensor([[ 1.7229e-08, 0.0000e+00, -3.1851e-07, ..., 6.9849e-09, 5.3085e-08, -2.6170e-07], [ 2.6636e-07, 0.0000e+00, 1.0151e-07, ..., -4.6566e-10, 6.9803e-07, 6.0536e-08], [ 5.3085e-08, 0.0000e+00, -1.0058e-06, ..., 2.4214e-08, 8.9873e-08, 9.6858e-08], ..., [-2.8173e-07, 0.0000e+00, 3.5344e-07, ..., -2.7381e-07, -2.4829e-06, 1.3644e-07], [ 9.6392e-08, 0.0000e+00, 1.0198e-07, ..., 2.4214e-08, 2.7008e-07, 2.6263e-07], [ 3.9209e-07, 0.0000e+00, 1.7416e-07, ..., 3.4459e-08, 3.9302e-07, -2.0023e-08]], device='cuda:0') Epoch 162, bias, value: tensor([-0.0360, -0.0308, 0.0132, 0.0314, -0.0228, 0.0028, -0.0106, 0.0138, 0.0151, -0.0031], device='cuda:0'), grad: tensor([-2.0955e-07, 2.5760e-06, -7.5530e-07, 1.5832e-06, 1.3486e-06, -1.1474e-06, 8.3214e-07, -6.9961e-06, 1.1548e-06, 1.6149e-06], device='cuda:0') 100 0.0001 changing lr epoch 161, time 214.44, cls_loss 0.0013 cls_loss_mapping 0.0038 cls_loss_causal 0.5454 re_mapping 0.0054 re_causal 0.0169 /// teacc 99.09 lr 0.00010000 Epoch 163, weight, value: tensor([[-0.0692, 0.0307, 0.0300, ..., -0.0643, -0.0722, 0.0596], [-0.0528, -0.0133, -0.0787, ..., 0.1398, -0.0669, -0.0535], [-0.0175, -0.0189, 0.1710, ..., -0.0924, -0.1146, -0.0900], ..., [-0.0643, -0.0497, 0.0039, ..., -0.0183, 0.0927, -0.0355], [-0.0767, -0.0575, -0.0490, ..., -0.1076, -0.0008, -0.1205], [-0.1512, -0.0327, -0.1104, ..., -0.1005, -0.0003, 0.0875]], device='cuda:0'), grad: tensor([[ 7.2643e-08, 0.0000e+00, -3.7719e-08, ..., 5.7882e-07, 1.5274e-07, 1.6913e-06], [ 1.4156e-07, 0.0000e+00, 2.0452e-06, ..., -1.4147e-06, 1.0831e-06, 4.9593e-07], [ 6.0070e-08, 0.0000e+00, 5.7463e-07, ..., 8.6753e-07, 2.6962e-07, 4.6566e-07], ..., [ 1.1735e-07, 0.0000e+00, -5.5172e-06, ..., 7.4413e-07, -2.8014e-06, 4.5588e-07], [ 9.3598e-08, 0.0000e+00, 4.1910e-08, ..., 9.2713e-07, 1.0291e-07, 7.5810e-07], [ 9.9838e-07, 0.0000e+00, 1.4147e-06, ..., 2.3888e-07, 7.7207e-07, -1.1697e-05]], device='cuda:0') Epoch 163, bias, value: tensor([-0.0360, -0.0306, 0.0126, 0.0316, -0.0228, 0.0027, -0.0107, 0.0137, 0.0153, -0.0031], device='cuda:0'), grad: tensor([ 4.8578e-06, 5.2042e-06, 4.8503e-06, 7.2382e-06, 1.8235e-06, 1.2219e-05, -1.4603e-05, -1.0476e-05, 3.7737e-06, -1.4931e-05], device='cuda:0') 100 0.0001 changing lr epoch 162, time 214.74, cls_loss 0.0012 cls_loss_mapping 0.0038 cls_loss_causal 0.5392 re_mapping 0.0056 re_causal 0.0176 /// teacc 99.06 lr 0.00010000 Epoch 164, weight, value: tensor([[-0.0692, 0.0313, 0.0320, ..., -0.0647, -0.0725, 0.0604], [-0.0529, -0.0135, -0.0789, ..., 0.1401, -0.0670, -0.0538], [-0.0176, -0.0186, 0.1713, ..., -0.0926, -0.1148, -0.0916], ..., [-0.0652, -0.0499, 0.0039, ..., -0.0184, 0.0928, -0.0357], [-0.0772, -0.0583, -0.0497, ..., -0.1083, -0.0007, -0.1222], [-0.1515, -0.0332, -0.1112, ..., -0.1008, -0.0006, 0.0878]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -3.5334e-06, ..., 5.9977e-07, 4.2887e-07, -1.6037e-06], [ 1.8626e-09, 0.0000e+00, 1.2992e-06, ..., -7.7439e-07, 1.4547e-06, 8.6147e-08], [ 4.6566e-10, 0.0000e+00, 6.4913e-07, ..., 2.0955e-07, 3.5111e-07, 1.9511e-07], ..., [ 4.1910e-09, 0.0000e+00, -4.0978e-06, ..., 3.7253e-07, -4.3735e-06, 2.1281e-07], [ 0.0000e+00, 0.0000e+00, 1.8207e-06, ..., 8.6892e-07, 3.6461e-07, 1.2126e-06], [ 4.1910e-09, 0.0000e+00, 1.8906e-06, ..., 1.2387e-07, 5.2107e-07, 6.4773e-07]], device='cuda:0') Epoch 164, bias, value: tensor([-0.0349, -0.0306, 0.0126, 0.0315, -0.0226, 0.0029, -0.0108, 0.0137, 0.0148, -0.0033], device='cuda:0'), grad: tensor([-3.7160e-06, 2.7753e-06, 2.0117e-06, 7.2382e-06, 5.8021e-07, 6.7465e-06, -1.3962e-05, -1.0207e-05, 4.5300e-06, 4.0159e-06], device='cuda:0') 100 0.0001 changing lr epoch 163, time 214.49, cls_loss 0.0011 cls_loss_mapping 0.0032 cls_loss_causal 0.5046 re_mapping 0.0054 re_causal 0.0166 /// teacc 99.10 lr 0.00010000 Epoch 165, weight, value: tensor([[-0.0697, 0.0315, 0.0320, ..., -0.0650, -0.0731, 0.0605], [-0.0532, -0.0135, -0.0790, ..., 0.1403, -0.0671, -0.0541], [-0.0174, -0.0186, 0.1719, ..., -0.0926, -0.1148, -0.0919], ..., [-0.0659, -0.0499, 0.0038, ..., -0.0185, 0.0929, -0.0359], [-0.0778, -0.0584, -0.0502, ..., -0.1086, -0.0005, -0.1226], [-0.1516, -0.0333, -0.1115, ..., -0.1013, -0.0007, 0.0881]], device='cuda:0'), grad: tensor([[ 2.2352e-08, 8.9407e-08, -6.5193e-07, ..., 2.2352e-08, 3.3341e-07, -2.7195e-07], [ 2.4587e-07, 5.0291e-08, 3.3528e-07, ..., -1.2834e-06, 1.6112e-06, 4.9546e-07], [ 1.4342e-07, 1.7881e-07, -1.9185e-07, ..., 1.9558e-07, 3.7067e-07, 5.5134e-07], ..., [ 5.5507e-07, 2.2352e-07, -8.9779e-07, ..., 9.6112e-07, -5.4948e-06, 8.2515e-07], [ 8.1956e-08, 7.8231e-08, 2.6822e-07, ..., 1.6764e-07, 1.7677e-06, 1.1958e-06], [ 2.8387e-06, 7.0781e-08, 5.4576e-07, ..., 8.7544e-08, 1.4156e-06, 6.0722e-07]], device='cuda:0') Epoch 165, bias, value: tensor([-0.0351, -0.0306, 0.0128, 0.0314, -0.0226, 0.0031, -0.0112, 0.0135, 0.0146, -0.0032], device='cuda:0'), grad: tensor([ 2.1085e-06, 6.0499e-06, 5.6960e-06, 1.8924e-05, -3.3118e-06, -7.5102e-05, 4.0948e-05, -3.0212e-06, -4.1574e-06, 1.1809e-05], device='cuda:0') 100 0.0001 changing lr epoch 164, time 214.53, cls_loss 0.0014 cls_loss_mapping 0.0043 cls_loss_causal 0.5109 re_mapping 0.0055 re_causal 0.0165 /// teacc 98.97 lr 0.00010000 Epoch 166, weight, value: tensor([[-0.0700, 0.0317, 0.0332, ..., -0.0646, -0.0730, 0.0616], [-0.0534, -0.0138, -0.0794, ..., 0.1408, -0.0671, -0.0549], [-0.0176, -0.0186, 0.1728, ..., -0.0927, -0.1152, -0.0925], ..., [-0.0666, -0.0499, 0.0039, ..., -0.0189, 0.0931, -0.0360], [-0.0783, -0.0594, -0.0506, ..., -0.1093, -0.0008, -0.1247], [-0.1529, -0.0342, -0.1121, ..., -0.1025, -0.0012, 0.0883]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 3.7253e-09, -1.8626e-08, ..., -7.2643e-08, 2.5705e-07, 3.7067e-07], [ 3.5390e-08, 3.7253e-09, 4.2841e-08, ..., -5.4203e-07, 3.9861e-07, 9.7975e-07], [ 1.8626e-09, 0.0000e+00, -7.6368e-08, ..., 1.0058e-07, 1.7136e-07, 2.6263e-07], ..., [ 3.6135e-07, 9.6858e-08, -2.2352e-08, ..., 3.0175e-07, 5.0291e-07, 6.1244e-06], [ 9.3132e-09, 1.8626e-09, 3.7253e-09, ..., 1.0431e-07, 9.9838e-07, 1.5795e-06], [-6.8545e-07, -1.9558e-07, 2.2352e-08, ..., 6.5193e-08, 2.7232e-06, -5.9046e-06]], device='cuda:0') Epoch 166, bias, value: tensor([-0.0339, -0.0306, 0.0131, 0.0315, -0.0219, 0.0032, -0.0121, 0.0134, 0.0137, -0.0037], device='cuda:0'), grad: tensor([ 1.0245e-06, 4.5560e-06, 1.2144e-06, 8.1509e-06, 1.7434e-05, -2.8297e-05, 2.8275e-06, 2.4557e-05, -1.3430e-06, -3.0130e-05], device='cuda:0') 100 0.0001 changing lr epoch 165, time 214.33, cls_loss 0.0011 cls_loss_mapping 0.0026 cls_loss_causal 0.5184 re_mapping 0.0056 re_causal 0.0175 /// teacc 98.99 lr 0.00010000 Epoch 167, weight, value: tensor([[-0.0702, 0.0314, 0.0332, ..., -0.0652, -0.0734, 0.0616], [-0.0534, -0.0139, -0.0793, ..., 0.1419, -0.0671, -0.0550], [-0.0176, -0.0186, 0.1728, ..., -0.0937, -0.1158, -0.0924], ..., [-0.0671, -0.0500, 0.0041, ..., -0.0193, 0.0932, -0.0362], [-0.0785, -0.0599, -0.0506, ..., -0.1100, -0.0012, -0.1250], [-0.1535, -0.0320, -0.1124, ..., -0.1030, -0.0015, 0.0884]], device='cuda:0'), grad: tensor([[ 9.3132e-09, 0.0000e+00, -4.3452e-05, ..., -3.7253e-08, 5.5879e-09, -2.3007e-05], [ 1.6764e-08, 0.0000e+00, 2.4401e-07, ..., -2.0489e-08, 4.4703e-08, 8.1956e-08], [ 7.2643e-08, 0.0000e+00, 1.2871e-06, ..., 1.8626e-08, -2.6077e-08, 1.1045e-06], ..., [ 5.0291e-08, 0.0000e+00, 1.4715e-06, ..., 1.1176e-08, -1.6205e-07, 3.9116e-07], [ 1.1176e-08, 0.0000e+00, 5.4613e-06, ..., 1.4901e-08, 3.5390e-08, 2.3209e-06], [ 3.5390e-08, 0.0000e+00, 2.3991e-05, ..., 1.1176e-08, 3.7253e-08, 9.3430e-06]], device='cuda:0') Epoch 167, bias, value: tensor([-0.0344, -0.0303, 0.0128, 0.0316, -0.0215, 0.0032, -0.0119, 0.0133, 0.0139, -0.0042], device='cuda:0'), grad: tensor([-8.3268e-05, 6.7987e-07, 3.6713e-06, 1.8813e-06, 1.6205e-07, 1.7285e-05, 2.0526e-06, 2.9895e-06, 9.8348e-06, 4.4584e-05], device='cuda:0') 100 0.0001 changing lr epoch 166, time 214.29, cls_loss 0.0012 cls_loss_mapping 0.0026 cls_loss_causal 0.5018 re_mapping 0.0055 re_causal 0.0167 /// teacc 98.66 lr 0.00010000 Epoch 168, weight, value: tensor([[-0.0702, 0.0312, 0.0335, ..., -0.0652, -0.0737, 0.0619], [-0.0535, -0.0139, -0.0794, ..., 0.1425, -0.0672, -0.0552], [-0.0176, -0.0186, 0.1734, ..., -0.0938, -0.1157, -0.0928], ..., [-0.0672, -0.0500, 0.0040, ..., -0.0198, 0.0934, -0.0362], [-0.0782, -0.0607, -0.0509, ..., -0.1107, -0.0016, -0.1257], [-0.1537, -0.0320, -0.1127, ..., -0.1037, -0.0018, 0.0891]], device='cuda:0'), grad: tensor([[ 5.9977e-07, 0.0000e+00, 8.5682e-08, ..., 1.0878e-06, 9.3132e-09, 3.6694e-07], [ 4.7684e-07, 0.0000e+00, 2.5705e-07, ..., -4.3139e-06, 2.0489e-07, 2.8871e-07], [ 3.2783e-07, 0.0000e+00, -1.1772e-06, ..., 4.7311e-07, 2.4214e-08, 8.7544e-08], ..., [ 3.0845e-06, 0.0000e+00, 1.3597e-07, ..., 3.7812e-06, -2.9802e-07, 4.7572e-06], [ 7.3016e-07, 0.0000e+00, 1.4715e-07, ..., 4.8615e-07, 2.0489e-08, 5.8301e-07], [-3.2872e-05, 0.0000e+00, 3.7253e-08, ..., 1.5646e-07, 2.2352e-08, -5.0694e-05]], device='cuda:0') Epoch 168, bias, value: tensor([-0.0343, -0.0302, 0.0130, 0.0316, -0.0219, 0.0031, -0.0118, 0.0133, 0.0135, -0.0040], device='cuda:0'), grad: tensor([ 3.6620e-06, -7.2308e-06, -4.6566e-07, 2.3097e-06, 1.5235e-04, 3.6303e-06, -4.3958e-05, 2.0415e-05, 2.8312e-06, -1.3340e-04], device='cuda:0') 100 0.0001 changing lr epoch 167, time 214.54, cls_loss 0.0018 cls_loss_mapping 0.0047 cls_loss_causal 0.5254 re_mapping 0.0053 re_causal 0.0166 /// teacc 99.12 lr 0.00010000 Epoch 169, weight, value: tensor([[-0.0710, 0.0323, 0.0320, ..., -0.0655, -0.0739, 0.0604], [-0.0537, -0.0142, -0.0795, ..., 0.1429, -0.0672, -0.0574], [-0.0178, -0.0185, 0.1740, ..., -0.0943, -0.1158, -0.0934], ..., [-0.0675, -0.0489, 0.0042, ..., -0.0200, 0.0936, -0.0367], [-0.0789, -0.0620, -0.0514, ..., -0.1110, -0.0013, -0.1262], [-0.1518, -0.0332, -0.1116, ..., -0.1046, -0.0018, 0.0924]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -3.9302e-07, ..., 3.7253e-08, 4.6566e-08, -5.8599e-06], [ 1.6764e-08, 0.0000e+00, 6.6869e-07, ..., -1.5032e-06, 8.8848e-07, 4.4703e-08], [ 2.7940e-08, 0.0000e+00, -3.5595e-06, ..., 8.7544e-08, 2.3097e-07, 2.4214e-08], ..., [ 5.5879e-09, 1.8626e-09, 2.3469e-07, ..., 6.3889e-07, -6.9030e-06, 3.7253e-08], [ 3.7253e-09, 0.0000e+00, 3.5949e-07, ..., 3.2037e-07, 1.7509e-07, 4.6566e-08], [ 2.4587e-07, -1.4901e-08, 3.8370e-07, ..., 1.5646e-07, 4.0755e-06, 1.0803e-07]], device='cuda:0') Epoch 169, bias, value: tensor([-3.6021e-02, -3.0319e-02, 1.2927e-02, 3.1843e-02, -2.5279e-02, 2.8745e-03, -1.1649e-02, 1.3134e-02, 1.3757e-02, 9.2690e-05], device='cuda:0'), grad: tensor([-7.4208e-06, 2.1793e-07, -4.8839e-06, 3.6918e-06, 2.3358e-06, 4.4703e-06, 5.1484e-06, -1.5914e-05, -4.3027e-07, 1.2755e-05], device='cuda:0') 100 0.0001 changing lr epoch 168, time 214.12, cls_loss 0.0014 cls_loss_mapping 0.0039 cls_loss_causal 0.5571 re_mapping 0.0056 re_causal 0.0170 /// teacc 99.06 lr 0.00010000 Epoch 170, weight, value: tensor([[-0.0718, 0.0323, 0.0316, ..., -0.0636, -0.0747, 0.0600], [-0.0539, -0.0144, -0.0800, ..., 0.1434, -0.0676, -0.0575], [-0.0179, -0.0184, 0.1743, ..., -0.0945, -0.1164, -0.0943], ..., [-0.0677, -0.0489, 0.0052, ..., -0.0197, 0.0942, -0.0368], [-0.0793, -0.0623, -0.0519, ..., -0.1135, -0.0021, -0.1278], [-0.1516, -0.0332, -0.1114, ..., -0.1103, -0.0021, 0.0934]], device='cuda:0'), grad: tensor([[ 4.2841e-08, 0.0000e+00, 1.2740e-06, ..., 4.4703e-08, 5.5879e-09, -2.3283e-07], [ 2.5891e-07, 0.0000e+00, 1.0878e-06, ..., -4.1164e-07, 1.3039e-08, 1.3039e-08], [ 4.2841e-08, 0.0000e+00, -2.1964e-05, ..., 6.3330e-08, 1.8626e-09, -1.8626e-08], ..., [ 2.0303e-07, 0.0000e+00, 2.1681e-06, ..., 1.8440e-07, 1.3039e-08, 2.4214e-08], [ 8.3819e-08, 0.0000e+00, 1.3024e-05, ..., 1.3225e-07, -6.7055e-08, 2.4214e-08], [ 2.2482e-06, -1.8626e-09, 4.8243e-07, ..., 1.3411e-07, 6.3330e-08, 1.8626e-07]], device='cuda:0') Epoch 170, bias, value: tensor([-0.0362, -0.0304, 0.0128, 0.0317, -0.0255, 0.0028, -0.0112, 0.0136, 0.0127, 0.0003], device='cuda:0'), grad: tensor([ 3.1367e-06, 2.6543e-06, -5.3376e-05, 3.8706e-06, -3.6955e-06, 4.1537e-07, 4.2170e-06, 6.0685e-06, 3.0994e-05, 5.7518e-06], device='cuda:0') 100 0.0001 changing lr epoch 169, time 214.31, cls_loss 0.0012 cls_loss_mapping 0.0035 cls_loss_causal 0.5443 re_mapping 0.0057 re_causal 0.0171 /// teacc 99.06 lr 0.00010000 Epoch 171, weight, value: tensor([[-0.0725, 0.0322, 0.0318, ..., -0.0637, -0.0757, 0.0601], [-0.0541, -0.0147, -0.0802, ..., 0.1438, -0.0677, -0.0577], [-0.0180, -0.0184, 0.1761, ..., -0.0947, -0.1161, -0.0928], ..., [-0.0688, -0.0490, 0.0044, ..., -0.0202, 0.0945, -0.0371], [-0.0796, -0.0625, -0.0521, ..., -0.1138, -0.0013, -0.1280], [-0.1520, -0.0320, -0.1127, ..., -0.1107, -0.0025, 0.0935]], device='cuda:0'), grad: tensor([[ 3.3528e-08, 0.0000e+00, 8.1584e-07, ..., 1.3076e-06, 2.0489e-07, 4.2841e-08], [ 9.3132e-09, 0.0000e+00, -5.5939e-05, ..., -9.1970e-05, 2.0843e-06, 1.6764e-08], [ 1.8626e-09, 0.0000e+00, 5.3346e-06, ..., 9.3952e-06, 1.7509e-07, 7.4506e-09], ..., [ 3.7253e-09, 3.7253e-09, 3.8922e-05, ..., 6.3419e-05, -9.0897e-07, 2.6077e-07], [ 1.8626e-09, 0.0000e+00, 5.1968e-07, ..., 1.3858e-06, 7.6666e-06, 3.5390e-08], [ 9.4995e-08, -7.4506e-09, 4.4815e-06, ..., 7.2010e-06, 4.9360e-07, -4.3586e-07]], device='cuda:0') Epoch 171, bias, value: tensor([-0.0362, -0.0304, 0.0134, 0.0314, -0.0254, 0.0028, -0.0106, 0.0134, 0.0135, 0.0001], device='cuda:0'), grad: tensor([ 4.5970e-06, -2.3186e-04, 2.5094e-05, 1.4141e-05, 8.5607e-06, -9.2089e-05, 6.4611e-05, 1.6630e-04, 1.9878e-05, 2.1130e-05], device='cuda:0') 100 0.0001 changing lr epoch 170, time 214.52, cls_loss 0.0011 cls_loss_mapping 0.0037 cls_loss_causal 0.5266 re_mapping 0.0056 re_causal 0.0169 /// teacc 99.17 lr 0.00010000 Epoch 172, weight, value: tensor([[-0.0733, 0.0326, 0.0320, ..., -0.0641, -0.0766, 0.0602], [-0.0544, -0.0150, -0.0802, ..., 0.1444, -0.0678, -0.0579], [-0.0181, -0.0184, 0.1763, ..., -0.0951, -0.1164, -0.0931], ..., [-0.0701, -0.0490, 0.0046, ..., -0.0206, 0.0948, -0.0372], [-0.0800, -0.0629, -0.0523, ..., -0.1139, -0.0019, -0.1283], [-0.1523, -0.0331, -0.1131, ..., -0.1117, -0.0033, 0.0934]], device='cuda:0'), grad: tensor([[ 1.4901e-08, 0.0000e+00, 5.5879e-08, ..., 2.0489e-08, 8.0094e-08, -1.4901e-08], [ 5.2154e-08, 5.5879e-09, 4.7311e-07, ..., -8.4564e-07, 3.7253e-07, 2.0489e-08], [ 3.1665e-08, 1.8626e-09, 1.3039e-08, ..., 1.1362e-07, 5.9791e-07, 1.8626e-08], ..., [ 6.3330e-08, -3.9116e-08, -2.5239e-06, ..., 2.9802e-07, -2.7008e-06, 2.6077e-08], [ 2.2352e-08, 0.0000e+00, 1.7881e-07, ..., 1.8254e-07, 7.2457e-07, 8.7544e-08], [ 1.4901e-07, 2.6077e-08, 1.3467e-06, ..., 1.1176e-07, 1.4827e-06, 2.0489e-08]], device='cuda:0') Epoch 172, bias, value: tensor([-3.6108e-02, -3.0491e-02, 1.3221e-02, 3.1096e-02, -2.5314e-02, 3.2963e-03, -1.0604e-02, 1.3409e-02, 1.3877e-02, -5.4188e-05], device='cuda:0'), grad: tensor([ 2.1644e-06, 2.6766e-06, 3.7812e-06, 4.2677e-05, 1.6019e-07, -1.1623e-04, 1.1563e-05, -2.2706e-06, 4.9263e-05, 6.1207e-06], device='cuda:0') 100 0.0001 changing lr epoch 171, time 214.33, cls_loss 0.0011 cls_loss_mapping 0.0035 cls_loss_causal 0.5147 re_mapping 0.0057 re_causal 0.0169 /// teacc 99.11 lr 0.00010000 Epoch 173, weight, value: tensor([[-0.0739, 0.0330, 0.0320, ..., -0.0655, -0.0780, 0.0603], [-0.0552, -0.0152, -0.0802, ..., 0.1454, -0.0679, -0.0581], [-0.0182, -0.0183, 0.1766, ..., -0.0958, -0.1169, -0.0934], ..., [-0.0713, -0.0488, 0.0053, ..., -0.0211, 0.0952, -0.0373], [-0.0803, -0.0632, -0.0526, ..., -0.1145, -0.0037, -0.1303], [-0.1527, -0.0335, -0.1135, ..., -0.1132, -0.0037, 0.0934]], device='cuda:0'), grad: tensor([[ 3.1665e-08, -3.7253e-09, -1.8626e-08, ..., 6.7800e-07, 2.2911e-07, 4.8429e-08], [ 2.0117e-07, 0.0000e+00, 5.4389e-07, ..., -4.9829e-05, -3.6191e-06, 8.5682e-08], [ 1.0245e-07, 0.0000e+00, -2.0489e-08, ..., 2.2314e-06, 2.4028e-07, 2.6077e-08], ..., [ 2.7008e-07, 0.0000e+00, -7.7300e-07, ..., 3.2067e-05, 3.7700e-06, 2.0470e-06], [ 1.0617e-07, 0.0000e+00, 1.6764e-08, ..., 1.3962e-05, 4.1351e-07, 5.5879e-08], [ 2.1793e-06, 3.7253e-09, 1.1921e-07, ..., 7.6368e-07, -1.3299e-06, -5.2415e-06]], device='cuda:0') Epoch 173, bias, value: tensor([-0.0362, -0.0303, 0.0130, 0.0311, -0.0251, 0.0037, -0.0109, 0.0135, 0.0127, -0.0002], device='cuda:0'), grad: tensor([ 2.6133e-06, -1.0633e-04, 6.8620e-06, 3.0417e-06, -5.2713e-07, 1.3717e-05, -1.4074e-05, 7.1645e-05, 2.5138e-05, -2.2147e-06], device='cuda:0') 100 0.0001 changing lr epoch 172, time 214.72, cls_loss 0.0013 cls_loss_mapping 0.0040 cls_loss_causal 0.5477 re_mapping 0.0054 re_causal 0.0173 /// teacc 99.07 lr 0.00010000 Epoch 174, weight, value: tensor([[-0.0743, 0.0370, 0.0337, ..., -0.0678, -0.0785, 0.0597], [-0.0561, -0.0155, -0.0811, ..., 0.1458, -0.0680, -0.0589], [-0.0177, -0.0182, 0.1743, ..., -0.0959, -0.1202, -0.0935], ..., [-0.0723, -0.0488, 0.0085, ..., -0.0214, 0.0973, -0.0375], [-0.0795, -0.0638, -0.0524, ..., -0.1151, -0.0038, -0.1310], [-0.1530, -0.0366, -0.1142, ..., -0.1139, -0.0040, 0.0933]], device='cuda:0'), grad: tensor([[ 1.8626e-09, -2.5146e-07, -2.4661e-06, ..., 1.6764e-08, 2.0489e-08, -1.8403e-06], [ 1.8626e-09, 2.6077e-08, 2.9802e-07, ..., -2.3283e-07, 1.3225e-07, 6.2212e-07], [ 5.5879e-09, 4.4703e-08, 7.0781e-08, ..., 7.0781e-08, 8.7544e-08, 4.2282e-07], ..., [ 1.8626e-09, 2.0489e-08, 2.5705e-07, ..., 9.4995e-08, -2.6077e-08, 9.1270e-06], [ 3.7253e-09, 1.4901e-08, 2.7195e-07, ..., 5.0291e-08, 2.3469e-07, 4.3772e-07], [ 1.8626e-09, 5.5879e-08, 6.3144e-07, ..., 1.6764e-08, 1.6578e-07, -9.5591e-06]], device='cuda:0') Epoch 174, bias, value: tensor([-0.0382, -0.0305, 0.0107, 0.0331, -0.0250, 0.0038, -0.0109, 0.0153, 0.0130, -0.0004], device='cuda:0'), grad: tensor([-7.0259e-06, 1.8030e-06, 1.3486e-06, 4.0010e-06, 9.7603e-07, -4.2841e-06, 1.5423e-06, 2.7150e-05, 1.7714e-06, -2.7269e-05], device='cuda:0') 100 0.0001 changing lr epoch 173, time 214.24, cls_loss 0.0014 cls_loss_mapping 0.0029 cls_loss_causal 0.5137 re_mapping 0.0057 re_causal 0.0166 /// teacc 99.04 lr 0.00010000 Epoch 175, weight, value: tensor([[-0.0756, 0.0402, 0.0340, ..., -0.0680, -0.0792, 0.0600], [-0.0563, -0.0156, -0.0814, ..., 0.1461, -0.0688, -0.0589], [-0.0177, -0.0182, 0.1745, ..., -0.0963, -0.1204, -0.0941], ..., [-0.0733, -0.0489, 0.0085, ..., -0.0211, 0.0981, -0.0378], [-0.0797, -0.0642, -0.0529, ..., -0.1155, -0.0042, -0.1313], [-0.1536, -0.0396, -0.1146, ..., -0.1148, -0.0043, 0.0933]], device='cuda:0'), grad: tensor([[ 5.5879e-07, 0.0000e+00, 5.4017e-08, ..., 4.7684e-07, 1.9185e-07, 3.2410e-07], [ 1.8440e-07, 0.0000e+00, 1.8254e-07, ..., -1.0282e-06, 3.5390e-07, 3.6135e-07], [ 2.4401e-07, 0.0000e+00, 8.2515e-07, ..., 5.6811e-07, 6.3702e-07, 2.0489e-07], ..., [ 1.1735e-07, 0.0000e+00, -2.0489e-06, ..., 4.0792e-07, -7.3947e-07, 1.5855e-05], [ 2.1234e-07, 0.0000e+00, 1.3039e-08, ..., 1.7695e-07, 1.7453e-06, 3.2969e-07], [ 2.5332e-06, 0.0000e+00, 7.6555e-07, ..., 1.5087e-07, 6.1654e-07, -1.8299e-05]], device='cuda:0') Epoch 175, bias, value: tensor([-0.0380, -0.0308, 0.0109, 0.0329, -0.0249, 0.0023, -0.0081, 0.0155, 0.0128, -0.0007], device='cuda:0'), grad: tensor([ 3.6638e-06, 7.6368e-07, 5.5432e-06, 2.6319e-06, 1.6436e-05, -1.5378e-05, -1.6764e-05, 5.0038e-05, 1.4175e-06, -4.8310e-05], device='cuda:0') 100 0.0001 changing lr epoch 174, time 213.92, cls_loss 0.0014 cls_loss_mapping 0.0037 cls_loss_causal 0.5295 re_mapping 0.0052 re_causal 0.0159 /// teacc 99.08 lr 0.00010000 Epoch 176, weight, value: tensor([[-0.0761, 0.0418, 0.0342, ..., -0.0681, -0.0796, 0.0603], [-0.0564, -0.0157, -0.0815, ..., 0.1474, -0.0688, -0.0592], [-0.0178, -0.0184, 0.1746, ..., -0.0965, -0.1204, -0.0946], ..., [-0.0738, -0.0488, 0.0085, ..., -0.0223, 0.0983, -0.0381], [-0.0797, -0.0649, -0.0524, ..., -0.1156, -0.0046, -0.1310], [-0.1540, -0.0400, -0.1150, ..., -0.1156, -0.0048, 0.0934]], device='cuda:0'), grad: tensor([[ 1.6391e-07, 0.0000e+00, -8.9407e-08, ..., 8.1956e-08, 1.6578e-07, 2.2165e-07], [ 8.3819e-08, 0.0000e+00, 1.9744e-07, ..., -7.4506e-09, 5.0478e-07, 2.1420e-07], [ 4.2841e-08, 0.0000e+00, 2.2352e-08, ..., 7.8231e-08, 3.7812e-07, 1.0058e-07], ..., [ 4.9919e-07, 0.0000e+00, -8.3447e-07, ..., 2.6077e-08, -1.6559e-06, 1.0598e-06], [ 1.5274e-07, 0.0000e+00, 8.9407e-08, ..., 1.6205e-07, 5.7928e-07, 7.6927e-07], [-2.8729e-05, 0.0000e+00, 2.7381e-07, ..., 1.6764e-08, 4.3586e-07, -5.2392e-05]], device='cuda:0') Epoch 176, bias, value: tensor([-0.0378, -0.0304, 0.0109, 0.0326, -0.0248, 0.0024, -0.0090, 0.0153, 0.0148, -0.0009], device='cuda:0'), grad: tensor([ 1.8422e-06, 2.4363e-06, 2.0377e-06, -4.3772e-07, 1.0806e-04, -6.8545e-06, -1.5590e-06, -3.3528e-08, 5.2899e-06, -1.1098e-04], device='cuda:0') 100 0.0001 changing lr epoch 175, time 214.30, cls_loss 0.0012 cls_loss_mapping 0.0041 cls_loss_causal 0.5207 re_mapping 0.0054 re_causal 0.0165 /// teacc 99.08 lr 0.00010000 Epoch 177, weight, value: tensor([[-0.0769, 0.0419, 0.0339, ..., -0.0682, -0.0800, 0.0604], [-0.0565, -0.0157, -0.0816, ..., 0.1477, -0.0689, -0.0594], [-0.0178, -0.0183, 0.1750, ..., -0.0967, -0.1205, -0.0948], ..., [-0.0737, -0.0488, 0.0084, ..., -0.0225, 0.0985, -0.0382], [-0.0795, -0.0654, -0.0538, ..., -0.1157, -0.0028, -0.1312], [-0.1541, -0.0401, -0.1151, ..., -0.1158, -0.0052, 0.0937]], device='cuda:0'), grad: tensor([[ 1.5274e-07, 0.0000e+00, -1.7509e-07, ..., 1.6950e-07, 6.4448e-07, -8.1956e-08], [ 8.7544e-08, 0.0000e+00, 2.6636e-07, ..., -2.1327e-06, 5.1595e-07, -3.1665e-08], [ 4.5262e-07, 0.0000e+00, 7.4506e-07, ..., 3.2410e-07, 2.3823e-06, 2.3469e-07], ..., [ 3.1460e-06, 0.0000e+00, -2.2892e-06, ..., 3.6694e-07, 1.1496e-05, 1.5497e-06], [ 3.8370e-07, 0.0000e+00, 2.7753e-07, ..., 4.0606e-07, 1.7453e-06, 2.9244e-07], [ 1.7881e-07, 0.0000e+00, 7.8417e-07, ..., 3.4086e-07, 1.0189e-06, 7.0781e-08]], device='cuda:0') Epoch 177, bias, value: tensor([-0.0379, -0.0304, 0.0113, 0.0326, -0.0249, 0.0024, -0.0107, 0.0152, 0.0165, -0.0008], device='cuda:0'), grad: tensor([ 2.0862e-06, -3.8072e-06, 8.1658e-06, 2.0579e-05, 1.1865e-06, -8.0109e-05, 4.2468e-06, 3.6001e-05, 7.3612e-06, 4.2170e-06], device='cuda:0') 100 0.0001 changing lr epoch 176, time 214.45, cls_loss 0.0010 cls_loss_mapping 0.0034 cls_loss_causal 0.4854 re_mapping 0.0054 re_causal 0.0159 /// teacc 99.05 lr 0.00010000 Epoch 178, weight, value: tensor([[-0.0773, 0.0419, 0.0340, ..., -0.0682, -0.0807, 0.0604], [-0.0566, -0.0158, -0.0818, ..., 0.1484, -0.0690, -0.0594], [-0.0180, -0.0183, 0.1752, ..., -0.0973, -0.1205, -0.0951], ..., [-0.0746, -0.0489, 0.0083, ..., -0.0227, 0.0986, -0.0383], [-0.0798, -0.0655, -0.0542, ..., -0.1184, -0.0020, -0.1328], [-0.1544, -0.0401, -0.1153, ..., -0.1173, -0.0055, 0.0938]], device='cuda:0'), grad: tensor([[ 1.6950e-06, -1.1176e-08, -7.4506e-08, ..., 7.7672e-07, 1.1176e-08, -3.5390e-08], [ 1.5676e-05, 0.0000e+00, 4.3027e-07, ..., 7.1488e-06, 1.4342e-07, 9.8720e-08], [ 4.8243e-06, 0.0000e+00, -2.5295e-06, ..., 2.2668e-06, 2.7940e-08, 3.5390e-08], ..., [ 4.8056e-06, 0.0000e+00, 1.9707e-06, ..., 8.1211e-07, -2.7381e-07, 1.3784e-07], [ 1.6578e-06, 0.0000e+00, 1.1362e-07, ..., 7.9535e-07, 1.5460e-07, 7.8231e-08], [ 4.2349e-05, 7.4506e-09, 1.1176e-07, ..., 1.9372e-05, 1.1176e-07, -7.4506e-08]], device='cuda:0') Epoch 178, bias, value: tensor([-0.0379, -0.0302, 0.0112, 0.0325, -0.0248, 0.0025, -0.0113, 0.0151, 0.0171, -0.0009], device='cuda:0'), grad: tensor([ 4.9248e-06, 4.7475e-05, 1.0937e-05, 5.4128e-06, -2.1386e-04, -2.2501e-06, 5.0552e-06, 1.1578e-05, 4.7907e-06, 1.2589e-04], device='cuda:0') 100 0.0001 changing lr epoch 177, time 214.44, cls_loss 0.0014 cls_loss_mapping 0.0041 cls_loss_causal 0.5411 re_mapping 0.0050 re_causal 0.0159 /// teacc 99.08 lr 0.00010000 Epoch 179, weight, value: tensor([[-0.0783, 0.0422, 0.0342, ..., -0.0686, -0.0817, 0.0605], [-0.0569, -0.0158, -0.0820, ..., 0.1487, -0.0690, -0.0595], [-0.0181, -0.0184, 0.1754, ..., -0.0973, -0.1205, -0.0956], ..., [-0.0768, -0.0489, 0.0083, ..., -0.0230, 0.0986, -0.0385], [-0.0804, -0.0659, -0.0546, ..., -0.1189, -0.0019, -0.1338], [-0.1548, -0.0402, -0.1156, ..., -0.1194, -0.0060, 0.0941]], device='cuda:0'), grad: tensor([[ 5.5879e-09, -9.3132e-09, -1.8999e-07, ..., 1.5628e-06, 6.3702e-07, 1.4342e-06], [ 3.7253e-08, 0.0000e+00, 1.0431e-07, ..., -3.0044e-06, 1.7136e-07, -8.7544e-08], [ 2.0489e-08, 0.0000e+00, -1.2666e-07, ..., 8.3260e-07, 1.1548e-07, 2.7567e-07], ..., [ 1.4901e-08, 0.0000e+00, -2.5332e-07, ..., 3.2596e-07, -6.7614e-07, 2.3656e-07], [ 3.7253e-09, 0.0000e+00, 1.4901e-07, ..., 2.0657e-06, 1.0207e-06, 2.0694e-06], [ 9.4995e-08, 3.7253e-09, 2.2165e-07, ..., 9.8348e-07, 1.7136e-07, -4.6566e-08]], device='cuda:0') Epoch 179, bias, value: tensor([-0.0379, -0.0304, 0.0113, 0.0338, -0.0247, 0.0012, -0.0111, 0.0148, 0.0177, -0.0011], device='cuda:0'), grad: tensor([ 6.3181e-06, -5.2191e-06, 2.3171e-06, 2.5574e-06, 1.2722e-06, 5.4017e-06, -2.0787e-05, -2.5518e-07, 5.7593e-06, 2.6226e-06], device='cuda:0') 100 0.0001 changing lr epoch 178, time 214.36, cls_loss 0.0012 cls_loss_mapping 0.0037 cls_loss_causal 0.5420 re_mapping 0.0052 re_causal 0.0165 /// teacc 99.13 lr 0.00010000 Epoch 180, weight, value: tensor([[-0.0784, 0.0432, 0.0346, ..., -0.0686, -0.0833, 0.0606], [-0.0571, -0.0163, -0.0838, ..., 0.1472, -0.0709, -0.0596], [-0.0181, -0.0185, 0.1755, ..., -0.0977, -0.1206, -0.0961], ..., [-0.0776, -0.0489, 0.0086, ..., -0.0207, 0.1000, -0.0390], [-0.0807, -0.0664, -0.0550, ..., -0.1206, -0.0014, -0.1346], [-0.1552, -0.0408, -0.1159, ..., -0.1216, -0.0062, 0.0944]], device='cuda:0'), grad: tensor([[ 1.1362e-07, 0.0000e+00, 1.0412e-06, ..., 5.9605e-08, 2.1234e-07, -4.0978e-08], [ 6.4448e-07, 1.1176e-08, 5.4017e-08, ..., -2.0191e-06, 9.9093e-07, 3.7253e-09], [ 5.0291e-07, 1.8626e-09, -4.0270e-06, ..., 3.5763e-07, 1.0934e-06, 7.4506e-09], ..., [ 4.6566e-07, -2.4214e-08, 3.0734e-07, ..., 1.4119e-06, 3.8370e-07, 2.2352e-08], [-4.8913e-06, 0.0000e+00, 2.4959e-07, ..., 1.1362e-07, -2.0802e-05, 5.5879e-08], [ 2.2147e-06, 3.7253e-09, 6.3330e-08, ..., 8.3819e-08, 3.5949e-07, 2.6077e-08]], device='cuda:0') Epoch 180, bias, value: tensor([-0.0378, -0.0323, 0.0114, 0.0336, -0.0246, 0.0013, -0.0109, 0.0161, 0.0177, -0.0011], device='cuda:0'), grad: tensor([ 4.5970e-06, 9.2313e-06, 9.4622e-06, -3.0696e-06, -1.5646e-07, 2.3794e-04, 9.9689e-06, 1.1064e-05, -2.8634e-04, 6.6534e-06], device='cuda:0') 100 0.0001 changing lr epoch 179, time 214.18, cls_loss 0.0010 cls_loss_mapping 0.0026 cls_loss_causal 0.5093 re_mapping 0.0053 re_causal 0.0165 /// teacc 99.14 lr 0.00010000 Epoch 181, weight, value: tensor([[-0.0792, 0.0434, 0.0347, ..., -0.0688, -0.0847, 0.0606], [-0.0574, -0.0165, -0.0839, ..., 0.1501, -0.0699, -0.0597], [-0.0182, -0.0184, 0.1756, ..., -0.0985, -0.1206, -0.0962], ..., [-0.0782, -0.0489, 0.0085, ..., -0.0234, 0.0992, -0.0393], [-0.0834, -0.0670, -0.0559, ..., -0.1215, -0.0019, -0.1354], [-0.1556, -0.0408, -0.1160, ..., -0.1226, -0.0065, 0.0944]], device='cuda:0'), grad: tensor([[ 2.2352e-08, 0.0000e+00, -9.7603e-07, ..., 1.8626e-08, -5.3644e-07, -2.5909e-06], [ 8.0094e-08, 0.0000e+00, 3.9116e-08, ..., -3.1665e-08, 9.6858e-08, 5.4017e-08], [ 4.4703e-08, 0.0000e+00, -2.8498e-07, ..., 1.4901e-08, 2.0489e-08, 2.2352e-08], ..., [ 1.3039e-07, 0.0000e+00, -2.0489e-08, ..., 1.1176e-08, -1.2796e-06, -4.4703e-07], [ 2.0489e-08, 0.0000e+00, 6.8918e-08, ..., 4.2841e-08, 1.0431e-07, 1.1176e-07], [ 1.7695e-07, 0.0000e+00, 3.3155e-07, ..., 2.7940e-08, 1.1269e-06, 6.0350e-07]], device='cuda:0') Epoch 181, bias, value: tensor([-0.0378, -0.0302, 0.0112, 0.0334, -0.0244, 0.0018, -0.0111, 0.0144, 0.0174, -0.0013], device='cuda:0'), grad: tensor([-4.2915e-06, 5.0105e-07, -1.5460e-07, -2.9616e-07, -4.1910e-07, 1.4976e-06, 1.6689e-06, -2.3562e-06, 5.6252e-07, 3.2596e-06], device='cuda:0') 100 0.0001 changing lr epoch 180, time 214.42, cls_loss 0.0011 cls_loss_mapping 0.0037 cls_loss_causal 0.5382 re_mapping 0.0052 re_causal 0.0160 /// teacc 99.18 lr 0.00010000 Epoch 182, weight, value: tensor([[-0.0805, 0.0447, 0.0349, ..., -0.0689, -0.0851, 0.0608], [-0.0578, -0.0171, -0.0840, ..., 0.1508, -0.0698, -0.0598], [-0.0183, -0.0155, 0.1758, ..., -0.0988, -0.1206, -0.0964], ..., [-0.0790, -0.0499, 0.0085, ..., -0.0240, 0.0992, -0.0395], [-0.0844, -0.0683, -0.0564, ..., -0.1221, -0.0026, -0.1372], [-0.1546, -0.0424, -0.1163, ..., -0.1233, -0.0067, 0.0953]], device='cuda:0'), grad: tensor([[ 5.5879e-08, 0.0000e+00, 3.4459e-07, ..., 2.0489e-07, 8.5682e-08, -9.8161e-07], [-1.6205e-07, 0.0000e+00, 1.5665e-06, ..., -5.9865e-06, 3.1292e-06, 3.1292e-07], [ 9.1270e-08, 0.0000e+00, -4.0717e-06, ..., 2.4773e-07, 2.7940e-07, 1.1735e-07], ..., [ 5.4389e-07, 0.0000e+00, -2.0191e-06, ..., 1.7993e-06, -5.6997e-06, 1.1921e-07], [ 5.0291e-08, 0.0000e+00, 1.6019e-07, ..., 6.9849e-07, 1.6075e-06, 1.3448e-06], [ 5.4576e-07, 0.0000e+00, 8.8103e-07, ..., 3.2037e-07, 1.9874e-06, -1.5926e-06]], device='cuda:0') Epoch 182, bias, value: tensor([-0.0377, -0.0299, 0.0113, 0.0334, -0.0251, 0.0022, -0.0112, 0.0141, 0.0173, -0.0008], device='cuda:0'), grad: tensor([-6.9290e-07, -5.3942e-06, -4.1053e-06, 9.1046e-06, 7.4282e-06, -1.3903e-05, 5.9605e-06, -9.7081e-06, 1.1824e-05, -6.3144e-07], device='cuda:0') 100 0.0001 changing lr epoch 181, time 214.62, cls_loss 0.0011 cls_loss_mapping 0.0036 cls_loss_causal 0.5025 re_mapping 0.0052 re_causal 0.0154 /// teacc 98.99 lr 0.00010000 Epoch 183, weight, value: tensor([[-0.0809, 0.0448, 0.0349, ..., -0.0689, -0.0859, 0.0608], [-0.0580, -0.0174, -0.0842, ..., 0.1510, -0.0700, -0.0603], [-0.0184, -0.0154, 0.1761, ..., -0.0989, -0.1206, -0.0979], ..., [-0.0793, -0.0500, 0.0084, ..., -0.0241, 0.0995, -0.0396], [-0.0845, -0.0688, -0.0570, ..., -0.1223, -0.0027, -0.1380], [-0.1545, -0.0426, -0.1165, ..., -0.1238, -0.0076, 0.0957]], device='cuda:0'), grad: tensor([[ 1.8626e-08, -7.8231e-08, -9.4436e-07, ..., 1.0747e-06, 7.4506e-09, -6.9849e-07], [ 6.5193e-08, 7.2643e-08, 3.9116e-07, ..., 6.4969e-06, 7.4506e-08, 3.1292e-07], [ 2.4214e-08, -2.4699e-06, -1.2085e-05, ..., 4.5076e-07, 1.4901e-08, 1.5460e-07], ..., [ 1.2293e-07, 2.1160e-06, 1.0461e-05, ..., 1.0617e-07, -1.4715e-07, 1.1157e-06], [ 7.8231e-08, 6.5193e-08, 3.4831e-07, ..., -9.8906e-07, -1.6950e-07, 3.8184e-07], [-1.4529e-07, 5.0291e-08, 4.8243e-07, ..., 8.5682e-08, 9.1270e-08, -1.5087e-07]], device='cuda:0') Epoch 183, bias, value: tensor([-0.0377, -0.0297, 0.0114, 0.0332, -0.0253, 0.0025, -0.0112, 0.0140, 0.0173, -0.0007], device='cuda:0'), grad: tensor([ 3.7812e-07, 2.0429e-05, -1.5497e-05, -2.6971e-05, 1.3690e-06, 6.7875e-06, -8.7693e-06, 2.9370e-05, -1.1742e-05, 4.5598e-06], device='cuda:0') 100 0.0001 changing lr epoch 182, time 214.45, cls_loss 0.0013 cls_loss_mapping 0.0032 cls_loss_causal 0.5067 re_mapping 0.0050 re_causal 0.0154 /// teacc 99.09 lr 0.00010000 Epoch 184, weight, value: tensor([[-0.0816, 0.0451, 0.0358, ..., -0.0689, -0.0872, 0.0613], [-0.0589, -0.0176, -0.0844, ..., 0.1516, -0.0700, -0.0608], [-0.0187, -0.0153, 0.1763, ..., -0.0991, -0.1207, -0.0996], ..., [-0.0804, -0.0501, 0.0082, ..., -0.0248, 0.0995, -0.0399], [-0.0854, -0.0691, -0.0587, ..., -0.1226, -0.0034, -0.1397], [-0.1546, -0.0428, -0.1168, ..., -0.1242, -0.0078, 0.0956]], device='cuda:0'), grad: tensor([[ 6.8918e-08, -0.0000e+00, -9.3132e-08, ..., 1.4156e-07, 1.4901e-08, -6.5193e-08], [ 6.7428e-07, 0.0000e+00, 1.9930e-07, ..., -3.7253e-09, 2.0489e-07, 9.3132e-09], [ 2.9989e-07, 0.0000e+00, -3.2410e-07, ..., 9.1270e-08, 5.9605e-08, 1.1176e-08], ..., [ 1.9595e-06, 0.0000e+00, 4.7125e-07, ..., 3.7253e-08, 2.9989e-07, 5.4017e-08], [ 3.9674e-07, 0.0000e+00, 1.1362e-07, ..., 1.8440e-07, 8.5682e-08, 2.9802e-08], [ 4.2543e-06, 0.0000e+00, 8.1770e-07, ..., 1.8626e-08, 9.4250e-07, -1.0990e-07]], device='cuda:0') Epoch 184, bias, value: tensor([-0.0372, -0.0295, 0.0114, 0.0322, -0.0251, 0.0040, -0.0115, 0.0135, 0.0169, -0.0008], device='cuda:0'), grad: tensor([ 3.1851e-07, 1.3690e-06, 2.0675e-07, 1.8626e-07, -1.2040e-05, 3.7625e-07, -1.2126e-06, 3.3639e-06, 6.9663e-07, 6.6906e-06], device='cuda:0') 100 0.0001 changing lr epoch 183, time 214.64, cls_loss 0.0010 cls_loss_mapping 0.0027 cls_loss_causal 0.5257 re_mapping 0.0049 re_causal 0.0156 /// teacc 99.15 lr 0.00010000 Epoch 185, weight, value: tensor([[-0.0842, 0.0450, 0.0360, ..., -0.0693, -0.0880, 0.0614], [-0.0593, -0.0177, -0.0848, ..., 0.1519, -0.0701, -0.0610], [-0.0189, -0.0153, 0.1766, ..., -0.0992, -0.1207, -0.0996], ..., [-0.0817, -0.0501, 0.0081, ..., -0.0250, 0.0996, -0.0401], [-0.0860, -0.0693, -0.0592, ..., -0.1230, -0.0034, -0.1401], [-0.1548, -0.0428, -0.1175, ..., -0.1246, -0.0082, 0.0958]], device='cuda:0'), grad: tensor([[ 9.4064e-08, 1.8626e-09, -2.3209e-06, ..., 2.9802e-08, 1.3039e-08, -6.8396e-06], [ 1.2908e-06, 0.0000e+00, 1.6838e-06, ..., 1.8068e-07, 3.9116e-08, 3.3528e-08], [ 1.9092e-07, 0.0000e+00, -3.3993e-06, ..., 6.7987e-08, 1.2107e-07, 2.0768e-07], ..., [ 3.9488e-07, 3.7253e-09, 9.3132e-08, ..., 9.7789e-08, -5.7556e-07, 5.6252e-07], [-3.7625e-07, 0.0000e+00, 4.1258e-07, ..., 3.3528e-08, 4.0047e-08, 1.7788e-07], [ 4.7404e-07, -1.4901e-08, 1.2601e-06, ..., 9.6858e-08, 3.0734e-08, 2.5872e-06]], device='cuda:0') Epoch 185, bias, value: tensor([-0.0373, -0.0295, 0.0116, 0.0321, -0.0250, 0.0040, -0.0113, 0.0133, 0.0170, -0.0009], device='cuda:0'), grad: tensor([-1.0550e-05, 4.0494e-06, -3.5595e-06, 2.3879e-06, -1.8980e-06, 3.7663e-06, 1.8245e-06, 1.1427e-06, -2.2426e-06, 5.0589e-06], device='cuda:0') 100 0.0001 changing lr epoch 184, time 214.49, cls_loss 0.0011 cls_loss_mapping 0.0031 cls_loss_causal 0.5263 re_mapping 0.0048 re_causal 0.0154 /// teacc 99.12 lr 0.00010000 Epoch 186, weight, value: tensor([[-0.0868, 0.0450, 0.0363, ..., -0.0697, -0.0892, 0.0615], [-0.0600, -0.0180, -0.0853, ..., 0.1527, -0.0698, -0.0614], [-0.0190, -0.0154, 0.1769, ..., -0.0994, -0.1207, -0.0999], ..., [-0.0833, -0.0500, 0.0081, ..., -0.0256, 0.0995, -0.0403], [-0.0872, -0.0695, -0.0603, ..., -0.1239, -0.0038, -0.1406], [-0.1555, -0.0428, -0.1178, ..., -0.1255, -0.0086, 0.0959]], device='cuda:0'), grad: tensor([[ 4.3772e-08, 3.7253e-09, 1.4901e-08, ..., 3.4645e-07, 8.3819e-09, 2.4494e-07], [ 4.8764e-06, 2.7940e-09, 5.7369e-07, ..., 1.1288e-06, 3.5949e-07, 1.4529e-07], [ 2.8778e-07, 9.3132e-10, -5.5693e-07, ..., 2.3842e-07, 6.4261e-08, 5.1223e-08], ..., [ 3.2131e-07, 1.4901e-08, -3.6415e-07, ..., 5.6624e-07, -7.2084e-07, 3.3900e-07], [ 4.1910e-08, 9.3132e-10, 9.0338e-08, ..., 4.3958e-07, 1.4901e-08, 1.6391e-07], [-1.4808e-07, -9.8720e-08, 4.0978e-08, ..., 1.2852e-07, 6.6124e-08, -1.9893e-06]], device='cuda:0') Epoch 186, bias, value: tensor([-0.0373, -0.0290, 0.0118, 0.0322, -0.0247, 0.0038, -0.0113, 0.0128, 0.0166, -0.0010], device='cuda:0'), grad: tensor([ 1.5227e-06, 7.9796e-06, 2.5406e-06, 1.0571e-06, -5.5246e-06, 4.0010e-06, -7.0632e-06, 3.5018e-07, -2.8927e-06, -1.9707e-06], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 185---------------------------------------------------- epoch 185, time 231.16, cls_loss 0.0010 cls_loss_mapping 0.0020 cls_loss_causal 0.4823 re_mapping 0.0047 re_causal 0.0147 /// teacc 99.20 lr 0.00010000 Epoch 187, weight, value: tensor([[-0.0876, 0.0450, 0.0367, ..., -0.0700, -0.0904, 0.0616], [-0.0605, -0.0198, -0.0855, ..., 0.1529, -0.0699, -0.0617], [-0.0192, -0.0152, 0.1769, ..., -0.0996, -0.1208, -0.1004], ..., [-0.0838, -0.0499, 0.0082, ..., -0.0257, 0.1000, -0.0404], [-0.0856, -0.0697, -0.0595, ..., -0.1246, -0.0039, -0.1409], [-0.1560, -0.0428, -0.1182, ..., -0.1259, -0.0094, 0.0960]], device='cuda:0'), grad: tensor([[ 1.0245e-08, -3.7253e-09, -4.0699e-07, ..., 3.4459e-08, 3.7253e-09, -4.1537e-07], [ 4.9360e-08, 0.0000e+00, 2.9802e-08, ..., -1.4901e-08, 9.9652e-08, 1.3970e-08], [ 1.5832e-08, 9.3132e-10, 3.2596e-08, ..., 8.1025e-08, 2.9802e-08, 2.4214e-08], ..., [ 3.6322e-08, 9.3132e-10, -2.2352e-08, ..., 4.5635e-08, -1.3597e-07, 5.0012e-07], [ 2.7940e-08, 0.0000e+00, -1.8626e-08, ..., 1.3132e-07, -9.3132e-10, 1.0245e-08], [ 1.8533e-07, 1.8626e-09, 3.1106e-07, ..., 1.0245e-08, -6.5193e-08, -2.9989e-07]], device='cuda:0') Epoch 187, bias, value: tensor([-0.0372, -0.0290, 0.0115, 0.0319, -0.0246, 0.0037, -0.0112, 0.0131, 0.0171, -0.0013], device='cuda:0'), grad: tensor([-9.0711e-07, 3.7625e-07, 4.5262e-07, -3.3900e-07, -6.1467e-08, 4.0047e-07, -8.2515e-07, 4.6100e-07, 1.5832e-07, 2.7195e-07], device='cuda:0') 100 0.0001 changing lr epoch 186, time 214.51, cls_loss 0.0009 cls_loss_mapping 0.0024 cls_loss_causal 0.4959 re_mapping 0.0049 re_causal 0.0151 /// teacc 99.02 lr 0.00010000 Epoch 188, weight, value: tensor([[-0.0883, 0.0451, 0.0369, ..., -0.0704, -0.0908, 0.0617], [-0.0610, -0.0199, -0.0858, ..., 0.1534, -0.0699, -0.0618], [-0.0193, -0.0152, 0.1771, ..., -0.1001, -0.1208, -0.1007], ..., [-0.0843, -0.0499, 0.0082, ..., -0.0259, 0.1000, -0.0406], [-0.0856, -0.0700, -0.0599, ..., -0.1257, -0.0040, -0.1413], [-0.1561, -0.0427, -0.1184, ..., -0.1266, -0.0095, 0.0962]], device='cuda:0'), grad: tensor([[ 1.6205e-07, -6.0536e-08, -5.8673e-07, ..., 3.6322e-08, 1.8626e-09, -2.9802e-07], [ 1.5460e-07, 0.0000e+00, -4.6566e-09, ..., -2.5667e-06, 5.5879e-08, 6.5193e-09], [ 2.5146e-07, 2.9802e-08, 1.5181e-07, ..., 1.6904e-06, 2.7008e-08, 1.4342e-07], ..., [ 1.3225e-07, 0.0000e+00, -4.7497e-08, ..., 3.9581e-07, -2.3004e-07, 5.3085e-08], [ 5.0291e-08, 1.8626e-09, 4.7497e-08, ..., 2.3842e-07, 2.7008e-08, 3.0734e-08], [ 5.2620e-07, 1.9558e-08, 2.1420e-07, ..., 4.6566e-08, 2.5146e-08, -1.0245e-08]], device='cuda:0') Epoch 188, bias, value: tensor([-0.0372, -0.0288, 0.0114, 0.0317, -0.0245, 0.0038, -0.0110, 0.0130, 0.0169, -0.0013], device='cuda:0'), grad: tensor([-7.4878e-07, -6.0275e-06, 5.1484e-06, 1.6391e-07, -1.2703e-06, 8.5030e-07, -2.3097e-07, 9.6299e-07, -3.2596e-08, 1.1567e-06], device='cuda:0') 100 0.0001 changing lr epoch 187, time 214.45, cls_loss 0.0015 cls_loss_mapping 0.0038 cls_loss_causal 0.5594 re_mapping 0.0048 re_causal 0.0155 /// teacc 99.13 lr 0.00010000 Epoch 189, weight, value: tensor([[-0.0892, 0.0453, 0.0372, ..., -0.0704, -0.0915, 0.0618], [-0.0623, -0.0207, -0.0840, ..., 0.1567, -0.0700, -0.0621], [-0.0185, -0.0153, 0.1768, ..., -0.1044, -0.1209, -0.1011], ..., [-0.0856, -0.0497, 0.0081, ..., -0.0260, 0.1002, -0.0408], [-0.0868, -0.0711, -0.0610, ..., -0.1298, -0.0042, -0.1420], [-0.1565, -0.0432, -0.1186, ..., -0.1277, -0.0098, 0.0964]], device='cuda:0'), grad: tensor([[ 2.3097e-07, 0.0000e+00, 7.2643e-08, ..., 4.1444e-07, 4.0047e-08, 3.7253e-08], [ 8.3633e-07, 0.0000e+00, 8.5682e-08, ..., 3.8892e-06, 1.3970e-07, 1.5739e-07], [ 3.5390e-08, 0.0000e+00, -1.4268e-06, ..., 1.5181e-07, 2.0023e-07, 4.7497e-08], ..., [ 9.1270e-08, 0.0000e+00, 8.9593e-07, ..., 4.0978e-08, 1.6298e-07, 1.2964e-06], [ 3.1665e-08, 0.0000e+00, 1.1921e-07, ..., 9.4995e-08, -9.6858e-07, 1.6112e-07], [ 1.6391e-07, 0.0000e+00, 2.7008e-08, ..., 7.6368e-08, 1.4808e-07, -2.1476e-06]], device='cuda:0') Epoch 189, bias, value: tensor([-0.0371, -0.0267, 0.0093, 0.0310, -0.0245, 0.0024, -0.0085, 0.0129, 0.0158, -0.0012], device='cuda:0'), grad: tensor([ 1.7649e-06, 1.0177e-05, 2.3283e-06, -5.9679e-06, 2.7008e-08, 2.9802e-06, -8.7842e-06, 6.2473e-06, -6.2436e-06, -2.5555e-06], device='cuda:0') 100 0.0001 changing lr epoch 188, time 214.45, cls_loss 0.0009 cls_loss_mapping 0.0021 cls_loss_causal 0.4857 re_mapping 0.0050 re_causal 0.0149 /// teacc 99.03 lr 0.00010000 Epoch 190, weight, value: tensor([[-0.0911, 0.0435, 0.0374, ..., -0.0713, -0.0934, 0.0618], [-0.0628, -0.0217, -0.0842, ..., 0.1567, -0.0701, -0.0624], [-0.0187, -0.0153, 0.1770, ..., -0.1044, -0.1209, -0.1014], ..., [-0.0860, -0.0497, 0.0081, ..., -0.0260, 0.1005, -0.0411], [-0.0879, -0.0745, -0.0615, ..., -0.1304, -0.0044, -0.1424], [-0.1566, -0.0433, -0.1188, ..., -0.1282, -0.0101, 0.0966]], device='cuda:0'), grad: tensor([[ 5.4017e-08, -9.3132e-09, -4.2003e-07, ..., 6.2399e-08, 1.2107e-08, -2.9150e-07], [ 9.3132e-08, 1.8626e-09, 1.9167e-06, ..., 2.5146e-08, 8.4750e-08, 8.3819e-09], [ 5.4948e-08, 4.6566e-09, -1.0267e-05, ..., 4.2841e-08, 4.9360e-08, 6.7987e-08], ..., [ 2.4959e-07, 2.5146e-08, 3.8594e-06, ..., 8.3819e-09, -4.4331e-07, 4.6566e-09], [ 5.4017e-08, 1.8626e-09, 1.3644e-06, ..., 1.6112e-07, 2.7008e-08, 4.9360e-08], [ 1.7788e-07, 3.7253e-09, 4.9081e-07, ..., 1.3970e-08, 1.6857e-07, 7.5437e-08]], device='cuda:0') Epoch 190, bias, value: tensor([-0.0373, -0.0269, 0.0093, 0.0319, -0.0246, 0.0019, -0.0085, 0.0130, 0.0155, -0.0012], device='cuda:0'), grad: tensor([-5.8953e-07, 2.6636e-06, -1.2949e-05, 3.3509e-06, -9.9931e-07, 5.5693e-07, -5.0012e-07, 4.6156e-06, 2.4214e-06, 1.4212e-06], device='cuda:0') 100 0.0001 changing lr epoch 189, time 214.59, cls_loss 0.0011 cls_loss_mapping 0.0027 cls_loss_causal 0.5451 re_mapping 0.0047 re_causal 0.0147 /// teacc 99.17 lr 0.00010000 Epoch 191, weight, value: tensor([[-0.0924, 0.0439, 0.0378, ..., -0.0720, -0.0936, 0.0619], [-0.0631, -0.0220, -0.0845, ..., 0.1569, -0.0702, -0.0627], [-0.0187, -0.0154, 0.1771, ..., -0.1045, -0.1211, -0.1018], ..., [-0.0867, -0.0497, 0.0082, ..., -0.0261, 0.1007, -0.0414], [-0.0855, -0.0747, -0.0622, ..., -0.1311, -0.0045, -0.1430], [-0.1569, -0.0434, -0.1191, ..., -0.1291, -0.0103, 0.0968]], device='cuda:0'), grad: tensor([[ 6.7987e-08, -2.7940e-09, -5.8673e-08, ..., 9.3132e-09, 8.1956e-08, 2.9337e-07], [ 3.3062e-07, 0.0000e+00, 3.4459e-07, ..., -2.2911e-07, 2.4680e-07, 1.0058e-07], [ 1.1176e-07, 0.0000e+00, 3.1665e-07, ..., 3.6322e-08, 1.0524e-06, 1.2293e-07], ..., [ 1.4715e-07, 0.0000e+00, -1.3625e-06, ..., 2.6077e-08, 4.5542e-07, 3.6787e-07], [ 1.0710e-07, 0.0000e+00, 2.5425e-07, ..., 9.3132e-09, 6.7987e-08, 2.3004e-07], [ 5.2992e-07, 1.8626e-09, 2.4680e-07, ..., 8.3819e-09, 3.7067e-07, -6.2510e-06]], device='cuda:0') Epoch 191, bias, value: tensor([-0.0372, -0.0269, 0.0093, 0.0305, -0.0246, 0.0027, -0.0085, 0.0131, 0.0162, -0.0012], device='cuda:0'), grad: tensor([ 1.3383e-06, 1.8524e-06, 4.4033e-06, -2.3305e-05, -6.5099e-07, 1.1131e-05, 7.8790e-07, 1.4350e-05, 6.1281e-07, -1.0543e-05], device='cuda:0') 100 0.0001 changing lr epoch 190, time 214.46, cls_loss 0.0011 cls_loss_mapping 0.0032 cls_loss_causal 0.5417 re_mapping 0.0046 re_causal 0.0151 /// teacc 99.08 lr 0.00010000 Epoch 192, weight, value: tensor([[-0.0910, 0.0443, 0.0391, ..., -0.0719, -0.0946, 0.0620], [-0.0644, -0.0226, -0.0850, ..., 0.1570, -0.0703, -0.0632], [-0.0199, -0.0153, 0.1772, ..., -0.1044, -0.1213, -0.1025], ..., [-0.0878, -0.0497, 0.0083, ..., -0.0263, 0.1009, -0.0419], [-0.0857, -0.0749, -0.0632, ..., -0.1316, -0.0047, -0.1437], [-0.1572, -0.0435, -0.1196, ..., -0.1295, -0.0105, 0.0976]], device='cuda:0'), grad: tensor([[ 8.0094e-08, 9.3132e-10, 7.4506e-08, ..., 1.6764e-08, 3.8184e-08, 8.3819e-09], [ 2.5705e-07, 3.7253e-09, 8.6520e-07, ..., -5.0850e-07, 1.3150e-06, 9.3132e-09], [ 1.9092e-07, 2.7940e-09, -6.6962e-07, ..., 2.7008e-08, 6.6776e-07, 8.3819e-09], ..., [ 3.5390e-07, 5.5879e-09, -1.9316e-06, ..., 3.8184e-07, -3.6862e-06, -2.4214e-08], [ 1.0245e-07, 9.3132e-10, 1.5367e-07, ..., 3.7253e-08, 1.0524e-07, 2.6077e-08], [ 8.3540e-07, 2.7940e-08, 3.9581e-07, ..., 1.3970e-08, 6.0163e-07, 4.3772e-08]], device='cuda:0') Epoch 192, bias, value: tensor([-0.0370, -0.0271, 0.0092, 0.0304, -0.0244, 0.0027, -0.0084, 0.0131, 0.0161, -0.0010], device='cuda:0'), grad: tensor([ 3.1851e-07, 2.6152e-06, 3.4366e-07, 3.4422e-06, -3.1013e-06, -1.0878e-06, 5.4389e-07, -6.2473e-06, 5.4203e-07, 2.6263e-06], device='cuda:0') 100 0.0001 changing lr epoch 191, time 214.24, cls_loss 0.0010 cls_loss_mapping 0.0026 cls_loss_causal 0.5325 re_mapping 0.0048 re_causal 0.0152 /// teacc 99.15 lr 0.00010000 Epoch 193, weight, value: tensor([[-0.0913, 0.0448, 0.0394, ..., -0.0719, -0.0953, 0.0621], [-0.0648, -0.0241, -0.0853, ..., 0.1570, -0.0710, -0.0639], [-0.0201, -0.0151, 0.1774, ..., -0.1044, -0.1214, -0.1031], ..., [-0.0883, -0.0498, 0.0084, ..., -0.0262, 0.1017, -0.0420], [-0.0858, -0.0752, -0.0636, ..., -0.1319, -0.0049, -0.1442], [-0.1576, -0.0436, -0.1200, ..., -0.1298, -0.0106, 0.0980]], device='cuda:0'), grad: tensor([[ 2.1681e-06, -1.3039e-08, -1.2359e-06, ..., 1.2210e-06, 1.7695e-08, -7.2643e-08], [ 3.0641e-07, 0.0000e+00, 4.2841e-07, ..., 5.0385e-07, 8.1025e-08, 2.7940e-09], [ 1.1204e-06, 9.3132e-10, 4.5728e-07, ..., 1.2731e-06, 1.1828e-07, 7.4506e-09], ..., [ 3.9116e-08, 0.0000e+00, -4.6566e-08, ..., 4.1910e-08, -3.4086e-07, 1.2107e-08], [ 5.2620e-07, 0.0000e+00, -1.0030e-06, ..., 6.6683e-07, -1.9465e-07, 2.0489e-08], [ 1.5646e-07, 4.6566e-09, 5.9512e-07, ..., 1.0617e-07, 2.1420e-07, 2.2352e-08]], device='cuda:0') Epoch 193, bias, value: tensor([-0.0369, -0.0276, 0.0093, 0.0304, -0.0243, 0.0029, -0.0087, 0.0136, 0.0161, -0.0011], device='cuda:0'), grad: tensor([ 6.4597e-06, 2.9933e-06, 7.5363e-06, 3.9712e-06, 1.0066e-05, 4.9584e-06, -3.5286e-05, -2.0955e-07, -2.5854e-06, 2.0973e-06], device='cuda:0') 100 0.0001 changing lr epoch 192, time 214.45, cls_loss 0.0009 cls_loss_mapping 0.0027 cls_loss_causal 0.5225 re_mapping 0.0050 re_causal 0.0152 /// teacc 99.15 lr 0.00010000 Epoch 194, weight, value: tensor([[-0.0925, 0.0450, 0.0394, ..., -0.0725, -0.0962, 0.0622], [-0.0652, -0.0247, -0.0854, ..., 0.1571, -0.0711, -0.0646], [-0.0200, -0.0148, 0.1777, ..., -0.1045, -0.1215, -0.1035], ..., [-0.0890, -0.0500, 0.0084, ..., -0.0262, 0.1019, -0.0423], [-0.0858, -0.0756, -0.0639, ..., -0.1322, -0.0050, -0.1445], [-0.1580, -0.0437, -0.1203, ..., -0.1300, -0.0113, 0.0982]], device='cuda:0'), grad: tensor([[-8.4285e-07, -4.6007e-07, -2.9832e-05, ..., -7.5437e-08, 6.4261e-08, -1.2383e-05], [ 1.7975e-07, 8.3819e-09, 6.8452e-07, ..., 1.0151e-07, 1.0431e-07, 6.0443e-07], [ 1.0431e-07, 3.4738e-07, 1.9372e-05, ..., 1.3784e-07, 4.6566e-08, 6.8694e-06], ..., [ 3.8184e-08, 1.3039e-08, 1.9278e-07, ..., 8.2888e-08, -6.7055e-08, 1.3784e-07], [ 1.0245e-08, 7.4506e-09, 2.5611e-07, ..., 4.0606e-07, 1.6764e-07, 1.0151e-07], [ 2.5891e-07, 3.9116e-08, 6.2920e-06, ..., 1.3504e-07, 5.7742e-08, 3.2522e-06]], device='cuda:0') Epoch 194, bias, value: tensor([-0.0370, -0.0276, 0.0094, 0.0306, -0.0242, 0.0027, -0.0087, 0.0137, 0.0160, -0.0012], device='cuda:0'), grad: tensor([-5.0068e-05, 2.8834e-06, 2.9534e-05, 1.8794e-06, 2.3022e-06, 4.1127e-06, -4.9472e-06, 7.7765e-07, 1.7630e-06, 1.1772e-05], device='cuda:0') 100 0.0001 changing lr epoch 193, time 214.64, cls_loss 0.0010 cls_loss_mapping 0.0023 cls_loss_causal 0.5137 re_mapping 0.0050 re_causal 0.0155 /// teacc 99.07 lr 0.00010000 Epoch 195, weight, value: tensor([[-0.0927, 0.0450, 0.0403, ..., -0.0725, -0.0973, 0.0627], [-0.0658, -0.0252, -0.0856, ..., 0.1577, -0.0712, -0.0645], [-0.0205, -0.0146, 0.1779, ..., -0.1046, -0.1216, -0.1041], ..., [-0.0906, -0.0498, 0.0086, ..., -0.0270, 0.1024, -0.0423], [-0.0859, -0.0761, -0.0644, ..., -0.1324, -0.0051, -0.1427], [-0.1593, -0.0437, -0.1217, ..., -0.1312, -0.0122, 0.0976]], device='cuda:0'), grad: tensor([[ 1.4901e-08, 0.0000e+00, -1.8813e-07, ..., 2.9802e-08, 1.3970e-08, -2.4773e-07], [ 8.2888e-08, 0.0000e+00, 1.0245e-07, ..., -9.3132e-09, 1.0338e-07, 5.4948e-08], [ 3.6322e-08, 0.0000e+00, -1.8813e-07, ..., 2.5146e-08, 4.3772e-08, 2.9802e-08], ..., [ 8.4750e-08, 9.3132e-10, -3.0175e-07, ..., 1.2107e-08, -4.7591e-07, 3.8370e-07], [ 1.6764e-08, 0.0000e+00, 4.2841e-08, ..., 3.6322e-08, -1.7229e-07, 6.6124e-08], [ 5.6811e-08, -1.8626e-09, 2.6636e-07, ..., 4.6566e-09, 2.4680e-07, -6.9849e-07]], device='cuda:0') Epoch 195, bias, value: tensor([-0.0366, -0.0271, 0.0094, 0.0303, -0.0236, 0.0027, -0.0087, 0.0132, 0.0172, -0.0025], device='cuda:0'), grad: tensor([-3.4831e-07, 1.0123e-06, 1.1213e-06, 6.6400e-05, 7.7300e-08, 1.4156e-06, -1.2200e-07, 5.6624e-07, -6.9499e-05, -5.7742e-07], device='cuda:0') 100 0.0001 changing lr epoch 194, time 214.30, cls_loss 0.0010 cls_loss_mapping 0.0025 cls_loss_causal 0.4945 re_mapping 0.0048 re_causal 0.0146 /// teacc 99.02 lr 0.00010000 Epoch 196, weight, value: tensor([[-0.0931, 0.0459, 0.0408, ..., -0.0725, -0.1000, 0.0629], [-0.0663, -0.0257, -0.0859, ..., 0.1579, -0.0713, -0.0652], [-0.0206, -0.0144, 0.1781, ..., -0.1045, -0.1218, -0.1062], ..., [-0.0911, -0.0498, 0.0087, ..., -0.0273, 0.1027, -0.0426], [-0.0862, -0.0763, -0.0666, ..., -0.1328, -0.0058, -0.1443], [-0.1600, -0.0447, -0.1230, ..., -0.1319, -0.0131, 0.0977]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -2.4121e-07, ..., 1.4901e-08, 9.3132e-09, 2.0489e-07], [ 1.2107e-08, 0.0000e+00, 6.9849e-08, ..., -1.5460e-07, 8.8476e-08, 1.6671e-07], [ 2.7940e-09, 0.0000e+00, 1.9465e-07, ..., 3.4459e-08, 7.9162e-08, 4.2655e-07], ..., [ 4.6566e-09, 0.0000e+00, 7.2923e-07, ..., 3.3528e-08, 6.6496e-07, 4.9826e-07], [ 1.8626e-09, 0.0000e+00, 2.2724e-07, ..., 4.2841e-08, 2.3283e-07, 8.5216e-07], [ 2.5146e-08, 0.0000e+00, 6.9849e-08, ..., 5.5879e-09, 6.5193e-08, -1.3784e-07]], device='cuda:0') Epoch 196, bias, value: tensor([-0.0364, -0.0271, 0.0095, 0.0297, -0.0234, 0.0034, -0.0087, 0.0132, 0.0169, -0.0030], device='cuda:0'), grad: tensor([ 1.3849e-06, 1.0571e-06, 2.9840e-06, -3.2723e-05, 2.5369e-06, 1.8161e-06, 3.8221e-06, 1.2174e-05, 6.6534e-06, 2.8219e-07], device='cuda:0') 100 0.0001 changing lr epoch 195, time 214.37, cls_loss 0.0022 cls_loss_mapping 0.0058 cls_loss_causal 0.5270 re_mapping 0.0050 re_causal 0.0151 /// teacc 99.05 lr 0.00010000 Epoch 197, weight, value: tensor([[-0.0938, 0.0460, 0.0409, ..., -0.0731, -0.1021, 0.0629], [-0.0669, -0.0262, -0.0863, ..., 0.1581, -0.0715, -0.0655], [-0.0212, -0.0143, 0.1785, ..., -0.1047, -0.1219, -0.1069], ..., [-0.0918, -0.0495, 0.0068, ..., -0.0274, 0.1000, -0.0435], [-0.0867, -0.0764, -0.0679, ..., -0.1331, -0.0032, -0.1453], [-0.1604, -0.0447, -0.1233, ..., -0.1326, -0.0137, 0.0981]], device='cuda:0'), grad: tensor([[-3.0547e-07, 0.0000e+00, 2.1420e-08, ..., -5.7742e-08, 1.6792e-06, -1.5954e-06], [ 8.7544e-08, 0.0000e+00, 1.3104e-06, ..., -3.1106e-07, 5.1372e-06, 3.5390e-08], [ 4.0047e-08, 0.0000e+00, -1.8468e-06, ..., 1.0151e-07, 3.8706e-06, -1.5460e-07], ..., [ 4.9360e-08, 0.0000e+00, -2.9698e-05, ..., 2.7008e-08, -1.2124e-04, 1.9558e-08], [ 3.1665e-08, 0.0000e+00, 1.7369e-06, ..., 8.7544e-08, 6.8769e-06, 1.8626e-08], [ 7.8883e-07, 0.0000e+00, 1.7434e-05, ..., 3.2596e-08, 6.0678e-05, 3.7346e-07]], device='cuda:0') Epoch 197, bias, value: tensor([-0.0366, -0.0273, 0.0095, 0.0325, -0.0229, 0.0053, -0.0090, 0.0103, 0.0152, -0.0031], device='cuda:0'), grad: tensor([ 1.8040e-06, 1.5065e-05, 9.1121e-06, 1.0324e-04, 2.8938e-05, 3.3081e-06, 4.4610e-07, -3.6407e-04, 1.5348e-05, 1.8680e-04], device='cuda:0') 100 0.0001 changing lr epoch 196, time 214.22, cls_loss 0.0009 cls_loss_mapping 0.0030 cls_loss_causal 0.5045 re_mapping 0.0047 re_causal 0.0153 /// teacc 99.05 lr 0.00010000 Epoch 198, weight, value: tensor([[-0.0947, 0.0462, 0.0411, ..., -0.0733, -0.1031, 0.0629], [-0.0672, -0.0267, -0.0867, ..., 0.1582, -0.0716, -0.0660], [-0.0213, -0.0142, 0.1789, ..., -0.1047, -0.1219, -0.1074], ..., [-0.0919, -0.0496, 0.0067, ..., -0.0274, 0.1001, -0.0443], [-0.0867, -0.0766, -0.0681, ..., -0.1339, -0.0032, -0.1462], [-0.1610, -0.0472, -0.1235, ..., -0.1330, -0.0143, 0.0987]], device='cuda:0'), grad: tensor([[ 4.0978e-08, 0.0000e+00, -5.8673e-08, ..., 5.7742e-08, 9.1270e-08, -3.6042e-07], [ 6.7055e-08, 0.0000e+00, 1.4026e-06, ..., 6.7987e-08, 9.0897e-07, 6.7987e-08], [ 1.3784e-07, 0.0000e+00, 1.8980e-06, ..., 1.7323e-07, 3.6135e-07, 4.4703e-08], ..., [ 1.5832e-08, 0.0000e+00, 3.6322e-07, ..., 5.5879e-09, -2.4103e-06, 2.5164e-06], [ 5.1223e-08, 0.0000e+00, 7.8510e-07, ..., 8.1025e-08, 1.0617e-07, 6.9849e-08], [ 2.1141e-07, 0.0000e+00, 2.4308e-07, ..., 2.7940e-09, 5.8766e-07, -3.3919e-06]], device='cuda:0') Epoch 198, bias, value: tensor([-0.0366, -0.0274, 0.0097, 0.0324, -0.0228, 0.0055, -0.0088, 0.0104, 0.0152, -0.0032], device='cuda:0'), grad: tensor([ 2.2538e-07, 6.6645e-06, 8.9705e-06, -1.9267e-05, 3.1814e-06, -6.8266e-07, 3.7067e-07, 4.6939e-06, 2.9355e-06, -7.0892e-06], device='cuda:0') 100 0.0001 changing lr epoch 197, time 214.32, cls_loss 0.0008 cls_loss_mapping 0.0025 cls_loss_causal 0.4984 re_mapping 0.0046 re_causal 0.0151 /// teacc 99.00 lr 0.00010000 Epoch 199, weight, value: tensor([[-0.0951, 0.0467, 0.0414, ..., -0.0731, -0.1034, 0.0631], [-0.0673, -0.0273, -0.0871, ..., 0.1583, -0.0717, -0.0664], [-0.0214, -0.0142, 0.1792, ..., -0.1047, -0.1220, -0.1081], ..., [-0.0917, -0.0496, 0.0067, ..., -0.0274, 0.1002, -0.0448], [-0.0867, -0.0767, -0.0681, ..., -0.1341, -0.0032, -0.1465], [-0.1614, -0.0475, -0.1236, ..., -0.1339, -0.0145, 0.0994]], device='cuda:0'), grad: tensor([[ 7.5437e-08, 1.4529e-07, 8.1025e-07, ..., 1.4249e-07, 8.1770e-07, 1.6671e-07], [ 3.1386e-07, 1.9558e-08, 1.3597e-07, ..., -1.0664e-06, 1.1832e-05, 1.5460e-07], [ 2.7940e-08, -4.1537e-07, -2.5388e-06, ..., 9.7789e-08, 7.8976e-07, 5.9605e-08], ..., [-4.0419e-07, 5.4948e-08, 3.4459e-07, ..., 5.4948e-08, -1.8626e-05, 1.3625e-06], [ 3.2596e-08, 1.4901e-08, 9.9652e-08, ..., 1.6298e-07, 4.0606e-07, 3.4086e-07], [ 4.8429e-08, 1.6764e-08, 1.2759e-07, ..., 3.2596e-08, 7.2550e-07, -4.0121e-06]], device='cuda:0') Epoch 199, bias, value: tensor([-0.0364, -0.0276, 0.0098, 0.0323, -0.0230, 0.0055, -0.0088, 0.0104, 0.0152, -0.0030], device='cuda:0'), grad: tensor([ 4.3325e-06, 3.3885e-05, -1.0738e-06, 6.2361e-06, 6.6198e-06, 6.2361e-06, -1.0431e-07, -5.2005e-05, 2.3544e-06, -6.4149e-06], device='cuda:0') 100 0.0001 changing lr epoch 198, time 214.36, cls_loss 0.0010 cls_loss_mapping 0.0027 cls_loss_causal 0.5103 re_mapping 0.0048 re_causal 0.0148 /// teacc 99.18 lr 0.00010000 Epoch 200, weight, value: tensor([[-0.0956, 0.0466, 0.0399, ..., -0.0730, -0.1041, 0.0607], [-0.0691, -0.0270, -0.0880, ..., 0.1581, -0.0719, -0.0670], [-0.0205, -0.0140, 0.1797, ..., -0.1042, -0.1220, -0.1086], ..., [-0.0921, -0.0496, 0.0067, ..., -0.0275, 0.1003, -0.0453], [-0.0868, -0.0775, -0.0681, ..., -0.1339, -0.0032, -0.1469], [-0.1620, -0.0483, -0.1220, ..., -0.1345, -0.0149, 0.1021]], device='cuda:0'), grad: tensor([[ 3.4459e-08, -8.1025e-08, -1.7900e-06, ..., 2.7940e-09, 2.7008e-08, -1.6037e-06], [ 1.3225e-07, 5.5879e-09, 1.5730e-06, ..., -1.0431e-07, 8.1286e-06, 4.9360e-08], [ 1.3411e-07, 7.4506e-09, 1.8626e-07, ..., 9.3132e-09, 4.5076e-07, 1.1176e-07], ..., [ 2.8312e-07, 1.8626e-09, -2.6766e-06, ..., 4.4703e-08, -1.4514e-05, 9.4995e-08], [ 4.8429e-08, 1.8626e-09, 2.9802e-07, ..., 2.7008e-08, 1.3681e-06, 9.0338e-08], [ 6.0815e-07, 4.8429e-08, 1.1642e-06, ..., 1.2107e-08, 9.7603e-07, 6.9756e-07]], device='cuda:0') Epoch 200, bias, value: tensor([-0.0382, -0.0280, 0.0103, 0.0323, -0.0229, 0.0054, -0.0088, 0.0104, 0.0152, -0.0019], device='cuda:0'), grad: tensor([-3.6359e-06, 3.1680e-05, 2.4382e-06, 1.4342e-05, -1.3309e-06, 4.3958e-07, 1.1455e-06, -5.5492e-05, 4.1761e-06, 6.2436e-06], device='cuda:0') 100 0.0001 changing lr epoch 199, time 214.30, cls_loss 0.0008 cls_loss_mapping 0.0028 cls_loss_causal 0.5012 re_mapping 0.0048 re_causal 0.0150 /// teacc 99.11 lr 0.00010000 Epoch 201, weight, value: tensor([[-0.0926, 0.0467, 0.0418, ..., -0.0731, -0.1048, 0.0606], [-0.0699, -0.0282, -0.0884, ..., 0.1582, -0.0721, -0.0672], [-0.0207, -0.0134, 0.1799, ..., -0.1041, -0.1221, -0.1091], ..., [-0.0926, -0.0496, 0.0068, ..., -0.0276, 0.1005, -0.0457], [-0.0871, -0.0779, -0.0682, ..., -0.1341, -0.0033, -0.1476], [-0.1625, -0.0485, -0.1221, ..., -0.1362, -0.0158, 0.1025]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 2.0396e-07, ..., 1.2107e-08, 5.2154e-08, 1.1176e-08], [ 9.3132e-10, 0.0000e+00, 2.6636e-07, ..., -3.6694e-07, 9.1270e-07, 2.8871e-08], [ 1.8626e-09, 0.0000e+00, -2.3562e-06, ..., 2.2538e-07, 8.7358e-07, 7.4506e-09], ..., [ 1.8626e-09, 0.0000e+00, 4.5635e-07, ..., 5.4017e-08, -6.0461e-06, 1.2629e-06], [ 1.8626e-09, 0.0000e+00, 3.5577e-07, ..., 4.0978e-08, 4.1910e-08, 1.7695e-08], [ 3.7253e-09, 0.0000e+00, 1.8720e-07, ..., 6.5193e-09, 3.5688e-06, -2.4177e-06]], device='cuda:0') Epoch 201, bias, value: tensor([-0.0373, -0.0281, 0.0103, 0.0323, -0.0231, 0.0053, -0.0091, 0.0105, 0.0152, -0.0020], device='cuda:0'), grad: tensor([ 5.9977e-07, 2.1048e-06, -1.4715e-06, 8.9593e-07, 1.4156e-06, 1.4836e-06, 1.4808e-07, -1.1213e-05, 9.5926e-07, 5.0403e-06], device='cuda:0') 100 0.0001 changing lr epoch 200, time 214.41, cls_loss 0.0010 cls_loss_mapping 0.0024 cls_loss_causal 0.5247 re_mapping 0.0046 re_causal 0.0146 /// teacc 99.20 lr 0.00010000 Epoch 202, weight, value: tensor([[-0.0927, 0.0474, 0.0420, ..., -0.0729, -0.1061, 0.0607], [-0.0702, -0.0300, -0.0886, ..., 0.1584, -0.0723, -0.0674], [-0.0209, -0.0128, 0.1802, ..., -0.1043, -0.1221, -0.1096], ..., [-0.0934, -0.0499, 0.0067, ..., -0.0277, 0.1006, -0.0464], [-0.0874, -0.0784, -0.0683, ..., -0.1345, -0.0033, -0.1488], [-0.1647, -0.0497, -0.1231, ..., -0.1371, -0.0165, 0.1028]], device='cuda:0'), grad: tensor([[ 2.0210e-07, 1.6950e-07, -4.5635e-08, ..., 1.0245e-08, 7.4506e-09, 1.7043e-07], [ 2.5146e-08, 1.4901e-08, 5.4017e-08, ..., -9.6485e-07, 9.6858e-08, 3.8184e-08], [ 1.3690e-07, 1.0245e-07, 6.0536e-08, ..., 3.0734e-08, 9.1270e-08, 1.2666e-07], ..., [ 2.8871e-08, 1.5832e-08, 1.0356e-06, ..., 8.0839e-07, 1.1502e-06, 9.2201e-08], [ 3.0734e-08, 2.3283e-08, 1.0338e-07, ..., 1.5832e-08, 1.2293e-07, 1.0151e-07], [ 2.1886e-07, 1.9558e-08, 5.6811e-08, ..., 1.2107e-08, 5.3085e-08, -4.3027e-07]], device='cuda:0') Epoch 202, bias, value: tensor([-0.0373, -0.0282, 0.0104, 0.0324, -0.0223, 0.0051, -0.0089, 0.0105, 0.0152, -0.0026], device='cuda:0'), grad: tensor([ 1.2927e-06, -1.1800e-06, 1.2368e-06, -1.3590e-05, 2.4308e-07, 5.0366e-06, 7.9162e-08, 6.6310e-06, 7.0594e-07, -4.7497e-07], device='cuda:0') 100 0.0001 changing lr epoch 201, time 214.43, cls_loss 0.0009 cls_loss_mapping 0.0022 cls_loss_causal 0.4953 re_mapping 0.0045 re_causal 0.0140 /// teacc 99.13 lr 0.00010000 Epoch 203, weight, value: tensor([[-0.0927, 0.0475, 0.0423, ..., -0.0724, -0.1072, 0.0608], [-0.0708, -0.0304, -0.0888, ..., 0.1586, -0.0728, -0.0683], [-0.0211, -0.0125, 0.1804, ..., -0.1045, -0.1222, -0.1103], ..., [-0.0942, -0.0500, 0.0068, ..., -0.0279, 0.1008, -0.0464], [-0.0877, -0.0786, -0.0683, ..., -0.1347, -0.0033, -0.1494], [-0.1651, -0.0497, -0.1234, ..., -0.1378, -0.0173, 0.1032]], device='cuda:0'), grad: tensor([[ 3.8184e-08, -2.3004e-07, -1.4575e-06, ..., 1.8813e-07, 9.3132e-10, -1.6382e-06], [ 1.0896e-07, 1.3970e-08, 6.0443e-07, ..., -7.4599e-07, 2.1420e-08, 1.8720e-07], [-1.6578e-07, 2.3283e-08, -1.2405e-06, ..., 2.5891e-07, 4.3772e-08, 4.7497e-07], ..., [ 1.8813e-07, 4.6566e-09, 1.1083e-07, ..., 3.0454e-07, -3.4459e-08, 3.4459e-07], [ 1.6484e-07, 2.2352e-08, -4.3493e-07, ..., 4.3772e-08, -7.1712e-08, 1.1772e-06], [ 1.1651e-06, 9.0338e-08, 4.7591e-07, ..., 6.5193e-08, 5.5879e-09, -1.1846e-05]], device='cuda:0') Epoch 203, bias, value: tensor([-0.0372, -0.0285, 0.0104, 0.0324, -0.0224, 0.0050, -0.0088, 0.0107, 0.0152, -0.0025], device='cuda:0'), grad: tensor([-2.6822e-06, 1.2750e-06, 1.2359e-06, 7.2718e-06, 2.9840e-06, 2.5332e-05, -3.2410e-07, 2.4550e-06, -3.2969e-06, -3.4243e-05], device='cuda:0') 100 0.0001 changing lr epoch 202, time 214.65, cls_loss 0.0014 cls_loss_mapping 0.0033 cls_loss_causal 0.4769 re_mapping 0.0047 re_causal 0.0141 /// teacc 99.09 lr 0.00010000 Epoch 204, weight, value: tensor([[-0.0930, 0.0477, 0.0425, ..., -0.0750, -0.1087, 0.0609], [-0.0726, -0.0305, -0.0883, ..., 0.1605, -0.0732, -0.0648], [-0.0199, -0.0125, 0.1804, ..., -0.1063, -0.1225, -0.1140], ..., [-0.0956, -0.0500, 0.0069, ..., -0.0283, 0.1010, -0.0472], [-0.0876, -0.0787, -0.0684, ..., -0.1319, -0.0033, -0.1512], [-0.1656, -0.0498, -0.1244, ..., -0.1430, -0.0175, 0.1035]], device='cuda:0'), grad: tensor([[ 4.1910e-08, -2.7940e-09, 3.1013e-07, ..., 1.8626e-09, 1.3970e-08, -1.6764e-08], [ 2.0862e-07, 0.0000e+00, 3.7588e-06, ..., -2.5146e-08, 9.3319e-07, 8.6334e-07], [-4.4797e-07, 9.3132e-10, -1.4110e-06, ..., 1.8626e-09, 3.1572e-07, -8.7544e-08], ..., [ 8.4750e-08, 0.0000e+00, -7.2904e-06, ..., 1.3039e-08, -1.7639e-06, 8.8662e-07], [ 1.2759e-07, 0.0000e+00, 2.2613e-06, ..., 3.0734e-08, 1.3597e-07, 3.7625e-07], [ 3.2224e-07, 9.3132e-10, 9.4809e-07, ..., 9.3132e-10, 1.4994e-07, -2.5872e-06]], device='cuda:0') Epoch 204, bias, value: tensor([-0.0374, -0.0276, 0.0095, 0.0323, -0.0225, 0.0047, -0.0111, 0.0108, 0.0160, -0.0026], device='cuda:0'), grad: tensor([ 8.4471e-07, 2.6986e-05, 1.0014e-05, 2.3395e-06, 1.6605e-06, -2.0862e-07, 1.2778e-06, -4.9740e-05, 9.4175e-06, -2.6803e-06], device='cuda:0') 100 0.0001 changing lr epoch 203, time 214.27, cls_loss 0.0009 cls_loss_mapping 0.0027 cls_loss_causal 0.5004 re_mapping 0.0047 re_causal 0.0143 /// teacc 99.14 lr 0.00010000 Epoch 205, weight, value: tensor([[-0.0931, 0.0483, 0.0430, ..., -0.0745, -0.1094, 0.0612], [-0.0728, -0.0314, -0.0884, ..., 0.1612, -0.0734, -0.0644], [-0.0200, -0.0124, 0.1808, ..., -0.1068, -0.1226, -0.1145], ..., [-0.0963, -0.0502, 0.0070, ..., -0.0286, 0.1012, -0.0475], [-0.0878, -0.0792, -0.0686, ..., -0.1319, -0.0036, -0.1538], [-0.1660, -0.0499, -0.1250, ..., -0.1443, -0.0154, 0.1053]], device='cuda:0'), grad: tensor([[ 1.3504e-08, -4.6566e-10, 4.7730e-07, ..., 3.5390e-08, 2.4680e-08, -6.0536e-09], [ 1.1781e-07, 0.0000e+00, 2.6356e-07, ..., 1.3644e-07, 2.0256e-07, 9.3132e-10], [ 7.1712e-08, 0.0000e+00, -3.5129e-06, ..., 1.4761e-07, 1.2061e-07, 4.6566e-10], ..., [ 3.4645e-07, 0.0000e+00, -1.2387e-07, ..., 1.0198e-07, -7.7672e-07, 3.2596e-09], [ 8.3819e-09, 0.0000e+00, 4.2841e-07, ..., 4.8429e-07, 3.7253e-09, 9.3132e-10], [ 2.7474e-08, 0.0000e+00, 1.3085e-07, ..., 1.1176e-08, 1.2387e-07, -4.1910e-09]], device='cuda:0') Epoch 205, bias, value: tensor([-0.0370, -0.0273, 0.0094, 0.0323, -0.0226, 0.0037, -0.0112, 0.0109, 0.0156, -0.0011], device='cuda:0'), grad: tensor([ 8.2469e-07, 1.5376e-06, -3.5539e-06, 6.3702e-07, -1.5227e-07, 4.6007e-07, -1.2591e-06, -2.8266e-07, 1.3672e-06, 3.9814e-07], device='cuda:0') 100 0.0001 changing lr epoch 204, time 214.39, cls_loss 0.0008 cls_loss_mapping 0.0029 cls_loss_causal 0.4953 re_mapping 0.0050 re_causal 0.0153 /// teacc 99.11 lr 0.00010000 Epoch 206, weight, value: tensor([[-0.0933, 0.0495, 0.0428, ..., -0.0727, -0.1103, 0.0612], [-0.0725, -0.0348, -0.0884, ..., 0.1617, -0.0735, -0.0645], [-0.0207, -0.0122, 0.1819, ..., -0.1074, -0.1228, -0.1147], ..., [-0.0970, -0.0503, 0.0065, ..., -0.0287, 0.1012, -0.0478], [-0.0882, -0.0796, -0.0688, ..., -0.1319, -0.0036, -0.1539], [-0.1660, -0.0499, -0.1251, ..., -0.1447, -0.0154, 0.1055]], device='cuda:0'), grad: tensor([[ 6.0536e-09, -0.0000e+00, -2.2352e-08, ..., 1.8626e-09, 7.9162e-09, -1.2573e-08], [ 3.4459e-08, 0.0000e+00, 1.6717e-07, ..., -1.8626e-08, 1.1362e-07, 2.0489e-08], [ 1.8626e-08, 0.0000e+00, -7.7346e-07, ..., 5.5879e-09, 8.4285e-08, 6.8452e-08], ..., [ 3.5390e-08, 0.0000e+00, -1.2759e-07, ..., 1.0710e-08, -2.6822e-07, 2.2817e-08], [ 1.7229e-08, 0.0000e+00, 5.7602e-07, ..., 3.7253e-09, 4.1444e-08, 5.9139e-08], [ 5.0291e-07, 0.0000e+00, 5.4017e-08, ..., 9.3132e-10, 8.2422e-08, 1.8161e-08]], device='cuda:0') Epoch 206, bias, value: tensor([-0.0368, -0.0272, 0.0099, 0.0324, -0.0228, 0.0037, -0.0112, 0.0106, 0.0156, -0.0009], device='cuda:0'), grad: tensor([ 9.1270e-08, 7.9768e-07, -7.7533e-07, 6.5286e-07, -7.3900e-07, -1.1213e-06, 2.9430e-07, -2.5332e-07, 5.1688e-08, 9.9838e-07], device='cuda:0') 100 0.0001 changing lr epoch 205, time 214.44, cls_loss 0.0012 cls_loss_mapping 0.0026 cls_loss_causal 0.4940 re_mapping 0.0046 re_causal 0.0138 /// teacc 99.17 lr 0.00010000 Epoch 207, weight, value: tensor([[-0.0935, 0.0498, 0.0427, ..., -0.0734, -0.1114, 0.0595], [-0.0740, -0.0350, -0.0887, ..., 0.1623, -0.0735, -0.0645], [-0.0222, -0.0119, 0.1821, ..., -0.1080, -0.1230, -0.1149], ..., [-0.0963, -0.0503, 0.0065, ..., -0.0294, 0.1014, -0.0479], [-0.0889, -0.0797, -0.0690, ..., -0.1320, -0.0036, -0.1541], [-0.1695, -0.0501, -0.1257, ..., -0.1452, -0.0171, 0.1068]], device='cuda:0'), grad: tensor([[ 1.5367e-08, -4.6566e-10, -1.2387e-06, ..., 6.3796e-08, 1.1642e-08, -1.5255e-06], [ 8.8010e-08, 0.0000e+00, 1.6904e-06, ..., 9.6764e-07, 2.8480e-06, 5.2154e-08], [ 4.8429e-08, 0.0000e+00, 3.6042e-07, ..., 2.3097e-07, 6.8964e-07, 3.3062e-08], ..., [ 2.6543e-07, 0.0000e+00, -2.6971e-06, ..., -1.4212e-06, -4.6194e-06, 6.3004e-07], [ 3.7719e-08, 0.0000e+00, 7.4040e-08, ..., 1.5367e-07, 1.1176e-07, 7.1246e-08], [ 4.6566e-07, 0.0000e+00, 1.2442e-06, ..., 9.6858e-08, 2.6077e-07, 5.7369e-07]], device='cuda:0') Epoch 207, bias, value: tensor([-0.0386, -0.0270, 0.0096, 0.0323, -0.0203, 0.0036, -0.0106, 0.0106, 0.0155, -0.0018], device='cuda:0'), grad: tensor([-3.5446e-06, 7.8455e-06, 1.9614e-06, 6.8685e-07, 1.6950e-07, 3.4925e-08, -8.9500e-07, -7.7114e-06, 7.4925e-07, 6.7241e-07], device='cuda:0') 100 0.0001 changing lr epoch 206, time 214.35, cls_loss 0.0010 cls_loss_mapping 0.0024 cls_loss_causal 0.4958 re_mapping 0.0044 re_causal 0.0138 /// teacc 99.16 lr 0.00010000 Epoch 208, weight, value: tensor([[-0.0936, 0.0529, 0.0437, ..., -0.0738, -0.1117, 0.0599], [-0.0744, -0.0354, -0.0892, ..., 0.1625, -0.0739, -0.0647], [-0.0224, -0.0115, 0.1830, ..., -0.1082, -0.1227, -0.1151], ..., [-0.0965, -0.0504, 0.0064, ..., -0.0297, 0.1015, -0.0483], [-0.0874, -0.0812, -0.0693, ..., -0.1321, -0.0036, -0.1542], [-0.1699, -0.0516, -0.1267, ..., -0.1457, -0.0172, 0.1068]], device='cuda:0'), grad: tensor([[ 9.7416e-07, 0.0000e+00, 5.9512e-07, ..., 9.7789e-09, 1.8440e-07, 8.8476e-09], [ 3.8045e-07, 0.0000e+00, 1.3225e-07, ..., -9.1270e-08, 8.1770e-07, 1.3970e-09], [ 3.1888e-06, 0.0000e+00, 8.3260e-07, ..., 3.8184e-08, 6.8406e-07, 6.5193e-09], ..., [ 7.4552e-07, 0.0000e+00, -8.1444e-07, ..., 2.6543e-08, -1.2934e-05, 4.6566e-09], [ 1.9232e-07, 0.0000e+00, -7.4506e-07, ..., 3.2596e-08, -5.4948e-08, 4.1910e-09], [ 4.2953e-06, 0.0000e+00, 3.6135e-07, ..., 4.1910e-09, 1.7146e-06, -1.1642e-08]], device='cuda:0') Epoch 208, bias, value: tensor([-0.0381, -0.0272, 0.0100, 0.0323, -0.0207, 0.0035, -0.0103, 0.0106, 0.0155, -0.0020], device='cuda:0'), grad: tensor([ 4.9658e-06, 2.9262e-06, 9.5516e-06, -3.6173e-06, 3.2354e-06, 2.1290e-06, 2.0191e-06, -3.1441e-05, -2.2873e-06, 1.2487e-05], device='cuda:0') 100 0.0001 changing lr epoch 207, time 214.83, cls_loss 0.0010 cls_loss_mapping 0.0022 cls_loss_causal 0.5285 re_mapping 0.0045 re_causal 0.0138 /// teacc 99.14 lr 0.00010000 Epoch 209, weight, value: tensor([[-0.0937, 0.0533, 0.0442, ..., -0.0738, -0.1131, 0.0601], [-0.0749, -0.0350, -0.0894, ..., 0.1629, -0.0741, -0.0647], [-0.0227, -0.0113, 0.1832, ..., -0.1083, -0.1230, -0.1152], ..., [-0.0984, -0.0508, 0.0066, ..., -0.0301, 0.1017, -0.0487], [-0.0877, -0.0818, -0.0694, ..., -0.1322, -0.0037, -0.1543], [-0.1701, -0.0519, -0.1273, ..., -0.1462, -0.0176, 0.1069]], device='cuda:0'), grad: tensor([[ 5.1688e-08, 8.3819e-09, -5.4948e-08, ..., 1.4668e-07, 0.0000e+00, -5.3551e-08], [ 6.8452e-08, 1.0710e-08, 1.3458e-07, ..., -5.9530e-06, 0.0000e+00, 1.9046e-07], [ 5.0757e-08, -8.2888e-08, -1.4752e-06, ..., 4.4033e-06, -4.6566e-10, 1.3411e-07], ..., [ 3.2131e-08, 3.7253e-09, 5.6997e-07, ..., 3.2084e-07, 4.6566e-10, 3.5390e-08], [ 9.7323e-08, 1.3039e-08, 1.3178e-07, ..., 4.2468e-07, 4.6566e-10, 1.5646e-07], [ 4.6100e-08, 4.6566e-10, 9.1735e-08, ..., 5.3085e-08, 4.6566e-10, -1.6680e-06]], device='cuda:0') Epoch 209, bias, value: tensor([-0.0379, -0.0273, 0.0098, 0.0323, -0.0206, 0.0037, -0.0103, 0.0107, 0.0155, -0.0022], device='cuda:0'), grad: tensor([ 6.0583e-07, -1.2740e-05, 1.0014e-05, -2.1532e-06, 2.5593e-06, 4.9621e-06, 4.1258e-07, 1.7695e-06, 2.7195e-07, -5.7071e-06], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 208---------------------------------------------------- epoch 208, time 231.03, cls_loss 0.0009 cls_loss_mapping 0.0024 cls_loss_causal 0.4980 re_mapping 0.0046 re_causal 0.0142 /// teacc 99.21 lr 0.00010000 Epoch 210, weight, value: tensor([[-0.0937, 0.0532, 0.0445, ..., -0.0738, -0.1137, 0.0603], [-0.0750, -0.0356, -0.0899, ..., 0.1633, -0.0742, -0.0650], [-0.0223, -0.0108, 0.1847, ..., -0.1084, -0.1230, -0.1153], ..., [-0.0995, -0.0508, 0.0066, ..., -0.0306, 0.1018, -0.0492], [-0.0879, -0.0822, -0.0704, ..., -0.1322, -0.0037, -0.1544], [-0.1704, -0.0521, -0.1276, ..., -0.1464, -0.0180, 0.1070]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -8.9779e-07, ..., 3.5856e-08, 7.9162e-09, -8.2562e-07], [ 1.0245e-08, 0.0000e+00, 3.2876e-07, ..., -3.0128e-07, 1.7881e-07, 5.0524e-07], [ 9.7789e-09, 0.0000e+00, -1.6019e-06, ..., 6.9384e-08, 1.3970e-09, 5.6345e-08], ..., [ 9.7789e-09, 0.0000e+00, 8.0699e-07, ..., 7.8231e-08, 6.5193e-09, 4.6240e-07], [ 4.6566e-09, 0.0000e+00, 3.2922e-07, ..., 1.1222e-07, 8.5216e-08, 2.6496e-07], [-5.3551e-08, 0.0000e+00, 1.8813e-07, ..., 3.0268e-08, 2.5611e-08, -2.1886e-07]], device='cuda:0') Epoch 210, bias, value: tensor([-0.0376, -0.0274, 0.0111, 0.0322, -0.0206, 0.0036, -0.0102, 0.0107, 0.0152, -0.0023], device='cuda:0'), grad: tensor([-1.8757e-06, 8.2143e-07, -1.9819e-06, -8.6706e-07, 1.2489e-06, -1.8198e-06, 2.2221e-06, 1.9167e-06, 4.0280e-07, -8.3353e-08], device='cuda:0') 100 0.0001 changing lr epoch 209, time 214.77, cls_loss 0.0008 cls_loss_mapping 0.0026 cls_loss_causal 0.5246 re_mapping 0.0043 re_causal 0.0144 /// teacc 99.18 lr 0.00010000 Epoch 211, weight, value: tensor([[-0.0936, 0.0554, 0.0459, ..., -0.0731, -0.1145, 0.0608], [-0.0752, -0.0358, -0.0901, ..., 0.1634, -0.0744, -0.0651], [-0.0225, -0.0114, 0.1847, ..., -0.1086, -0.1233, -0.1154], ..., [-0.0995, -0.0508, 0.0066, ..., -0.0308, 0.1018, -0.0495], [-0.0879, -0.0825, -0.0705, ..., -0.1323, -0.0037, -0.1545], [-0.1705, -0.0530, -0.1282, ..., -0.1467, -0.0182, 0.1071]], device='cuda:0'), grad: tensor([[ 1.6298e-08, 0.0000e+00, -5.5172e-06, ..., 1.8626e-08, 1.0245e-08, -7.4171e-06], [ 2.5611e-08, 0.0000e+00, 2.3842e-07, ..., 1.3039e-08, 7.8650e-07, 6.9384e-08], [ 1.9372e-07, 0.0000e+00, 2.1514e-07, ..., 3.4925e-08, 5.4203e-07, 4.1910e-08], ..., [ 1.0710e-08, 0.0000e+00, -7.5065e-07, ..., 4.1910e-09, -2.3469e-06, 3.1432e-07], [ 6.6124e-07, 0.0000e+00, 1.0896e-07, ..., 4.6566e-08, 1.8300e-07, 9.4529e-08], [ 7.4506e-09, 0.0000e+00, 2.5798e-06, ..., 2.3283e-09, 4.8382e-07, 2.4680e-06]], device='cuda:0') Epoch 211, bias, value: tensor([-0.0369, -0.0274, 0.0109, 0.0324, -0.0207, 0.0036, -0.0103, 0.0106, 0.0152, -0.0024], device='cuda:0'), grad: tensor([-1.3307e-05, 3.8296e-06, 6.4932e-06, -2.1577e-05, 1.9651e-06, 1.1690e-05, -1.4948e-07, -8.5384e-06, 1.3597e-05, 5.9642e-06], device='cuda:0') 100 0.0001 changing lr epoch 210, time 214.26, cls_loss 0.0010 cls_loss_mapping 0.0028 cls_loss_causal 0.5213 re_mapping 0.0046 re_causal 0.0148 /// teacc 99.09 lr 0.00010000 Epoch 212, weight, value: tensor([[-0.0937, 0.0583, 0.0469, ..., -0.0740, -0.1165, 0.0609], [-0.0764, -0.0362, -0.0911, ..., 0.1633, -0.0746, -0.0652], [-0.0218, -0.0113, 0.1848, ..., -0.1083, -0.1239, -0.1157], ..., [-0.0997, -0.0509, 0.0074, ..., -0.0309, 0.1022, -0.0491], [-0.0883, -0.0845, -0.0706, ..., -0.1323, -0.0037, -0.1549], [-0.1697, -0.0555, -0.1302, ..., -0.1477, -0.0185, 0.1081]], device='cuda:0'), grad: tensor([[ 4.6566e-10, -1.7695e-07, -4.2468e-07, ..., 9.7789e-09, 8.8476e-09, -3.0780e-07], [ 8.8941e-08, 6.0536e-09, 2.4308e-06, ..., -4.9872e-07, 4.1118e-07, 1.6298e-08], [ 1.3970e-09, 1.3039e-08, -7.8306e-06, ..., 9.5461e-08, -1.1269e-06, 2.3749e-08], ..., [ 3.4925e-08, 2.2352e-08, 3.3397e-06, ..., 2.7940e-07, 3.9255e-07, 6.9849e-08], [ 1.3039e-08, 2.9337e-08, 2.4121e-07, ..., 5.2154e-08, 2.7008e-08, 5.9605e-08], [ 1.2899e-07, 6.2399e-08, 2.7148e-07, ..., 1.3970e-08, 4.7963e-08, 8.5682e-08]], device='cuda:0') Epoch 212, bias, value: tensor([-0.0366, -0.0278, 0.0108, 0.0325, -0.0216, 0.0034, -0.0102, 0.0110, 0.0151, -0.0023], device='cuda:0'), grad: tensor([-1.2023e-06, 1.7527e-06, -8.2701e-06, 1.5646e-06, -1.2154e-07, 5.3272e-07, 2.6682e-07, 4.3288e-06, 3.6508e-07, 7.7207e-07], device='cuda:0') 100 0.0001 changing lr epoch 211, time 214.32, cls_loss 0.0010 cls_loss_mapping 0.0031 cls_loss_causal 0.5126 re_mapping 0.0048 re_causal 0.0147 /// teacc 99.20 lr 0.00010000 Epoch 213, weight, value: tensor([[-0.0938, 0.0583, 0.0478, ..., -0.0762, -0.1174, 0.0609], [-0.0768, -0.0377, -0.0915, ..., 0.1638, -0.0749, -0.0676], [-0.0220, -0.0101, 0.1858, ..., -0.1085, -0.1242, -0.1157], ..., [-0.1000, -0.0510, 0.0071, ..., -0.0314, 0.1023, -0.0507], [-0.0884, -0.0847, -0.0706, ..., -0.1324, -0.0038, -0.1556], [-0.1699, -0.0555, -0.1308, ..., -0.1481, -0.0184, 0.1091]], device='cuda:0'), grad: tensor([[ 1.6298e-08, 2.3283e-09, 1.8813e-07, ..., 6.9849e-09, 3.0082e-07, -6.8918e-08], [ 1.2061e-07, 1.2573e-08, 1.3243e-06, ..., -1.1548e-06, 1.5646e-06, 4.7963e-08], [ 2.5611e-08, -5.4482e-08, -2.2668e-06, ..., 9.3179e-07, 5.4901e-07, 1.2107e-08], ..., [-2.6869e-07, 6.9849e-09, -1.8012e-06, ..., 0.0000e+00, -4.1015e-06, 6.6496e-07], [ 1.0245e-08, 1.1642e-08, 6.4727e-07, ..., 1.4435e-08, 1.8300e-07, 2.8871e-08], [ 2.4214e-08, 1.8626e-09, 3.3900e-07, ..., 3.7253e-09, 2.5844e-07, -1.0198e-06]], device='cuda:0') Epoch 213, bias, value: tensor([-0.0365, -0.0283, 0.0113, 0.0323, -0.0207, 0.0036, -0.0108, 0.0108, 0.0151, -0.0017], device='cuda:0'), grad: tensor([ 1.3132e-06, 4.8466e-06, -1.1623e-06, 1.9949e-06, 1.7183e-06, 1.2452e-06, 4.3493e-07, -1.2614e-05, 2.4214e-06, -2.1886e-07], device='cuda:0') 100 0.0001 changing lr epoch 212, time 214.45, cls_loss 0.0009 cls_loss_mapping 0.0025 cls_loss_causal 0.4916 re_mapping 0.0046 re_causal 0.0139 /// teacc 99.15 lr 0.00010000 Epoch 214, weight, value: tensor([[-0.0938, 0.0583, 0.0482, ..., -0.0764, -0.1180, 0.0610], [-0.0769, -0.0378, -0.0919, ..., 0.1642, -0.0753, -0.0678], [-0.0221, -0.0099, 0.1864, ..., -0.1086, -0.1243, -0.1158], ..., [-0.1005, -0.0511, 0.0071, ..., -0.0316, 0.1025, -0.0519], [-0.0887, -0.0848, -0.0708, ..., -0.1325, -0.0038, -0.1557], [-0.1706, -0.0555, -0.1315, ..., -0.1486, -0.0186, 0.1094]], device='cuda:0'), grad: tensor([[ 3.9581e-08, 0.0000e+00, -8.7619e-06, ..., 7.4506e-09, 3.6787e-08, -7.4320e-06], [ 2.2445e-07, 0.0000e+00, 1.4948e-07, ..., -8.4983e-07, 4.3772e-07, 1.6810e-07], [ 9.8720e-08, 0.0000e+00, 2.5649e-06, ..., 6.7055e-08, 2.7940e-08, 2.5034e-06], ..., [ 2.6543e-07, 0.0000e+00, 1.9465e-07, ..., 4.4331e-07, -4.0559e-07, 8.5216e-08], [ 1.0245e-07, 0.0000e+00, 1.2778e-06, ..., 3.9116e-08, 1.2480e-07, 1.1539e-06], [ 7.6294e-06, 0.0000e+00, 1.5832e-06, ..., 1.2107e-08, 4.4936e-07, 1.1288e-06]], device='cuda:0') Epoch 214, bias, value: tensor([-0.0364, -0.0284, 0.0116, 0.0323, -0.0205, 0.0035, -0.0109, 0.0108, 0.0151, -0.0018], device='cuda:0'), grad: tensor([-2.0877e-05, 6.7661e-07, 7.0110e-06, 8.1733e-06, -1.2778e-05, -5.6103e-06, 5.6997e-06, 3.4971e-07, 3.2019e-06, 1.4104e-05], device='cuda:0') 100 0.0001 changing lr epoch 213, time 215.01, cls_loss 0.0008 cls_loss_mapping 0.0024 cls_loss_causal 0.4989 re_mapping 0.0047 re_causal 0.0145 /// teacc 99.16 lr 0.00010000 Epoch 215, weight, value: tensor([[-0.0940, 0.0583, 0.0489, ..., -0.0770, -0.1193, 0.0612], [-0.0773, -0.0388, -0.0924, ..., 0.1643, -0.0756, -0.0678], [-0.0227, -0.0104, 0.1866, ..., -0.1087, -0.1246, -0.1161], ..., [-0.1017, -0.0513, 0.0072, ..., -0.0317, 0.1027, -0.0527], [-0.0892, -0.0854, -0.0710, ..., -0.1326, -0.0038, -0.1560], [-0.1711, -0.0559, -0.1320, ..., -0.1490, -0.0187, 0.1095]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, 3.2596e-09, ..., 2.2817e-08, 1.4435e-08, 3.7253e-09], [ 3.7719e-08, 0.0000e+00, 1.7509e-07, ..., -4.5262e-07, 2.5658e-07, -5.6345e-08], [ 3.7253e-08, 0.0000e+00, 1.7369e-07, ..., 3.1199e-08, 2.5146e-07, 1.0245e-08], ..., [-1.0198e-07, 0.0000e+00, -1.3653e-06, ..., 6.8918e-08, -2.0210e-06, 2.1886e-08], [ 5.6811e-08, 0.0000e+00, 4.5961e-07, ..., 1.0757e-07, 6.9756e-07, 4.5635e-08], [ 2.0070e-07, 0.0000e+00, 9.0804e-08, ..., 1.9558e-08, 1.2806e-07, -4.0978e-08]], device='cuda:0') Epoch 215, bias, value: tensor([-0.0363, -0.0287, 0.0113, 0.0323, -0.0202, 0.0044, -0.0116, 0.0110, 0.0150, -0.0019], device='cuda:0'), grad: tensor([ 1.1828e-07, -2.0256e-07, 6.6450e-07, -6.5193e-07, 5.1735e-07, 9.3272e-07, 3.3062e-07, -3.7961e-06, 1.3774e-06, 7.0408e-07], device='cuda:0') 100 0.0001 changing lr epoch 214, time 214.59, cls_loss 0.0009 cls_loss_mapping 0.0019 cls_loss_causal 0.5255 re_mapping 0.0046 re_causal 0.0146 /// teacc 99.17 lr 0.00010000 Epoch 216, weight, value: tensor([[-0.0939, 0.0584, 0.0497, ..., -0.0766, -0.1195, 0.0613], [-0.0780, -0.0399, -0.0936, ..., 0.1643, -0.0761, -0.0679], [-0.0229, -0.0097, 0.1872, ..., -0.1085, -0.1248, -0.1162], ..., [-0.1023, -0.0519, 0.0073, ..., -0.0318, 0.1030, -0.0534], [-0.0893, -0.0857, -0.0711, ..., -0.1326, -0.0038, -0.1563], [-0.1712, -0.0545, -0.1325, ..., -0.1498, -0.0192, 0.1100]], device='cuda:0'), grad: tensor([[ 3.9116e-08, 0.0000e+00, -7.1246e-08, ..., 5.0757e-08, 5.8673e-08, 5.3551e-08], [ 1.0943e-07, 0.0000e+00, -1.1185e-06, ..., -6.6422e-06, 8.3819e-09, 1.2107e-08], [ 9.8255e-08, 0.0000e+00, 6.5006e-07, ..., 3.6713e-06, 5.1223e-09, 1.6764e-08], ..., [ 4.6846e-07, 0.0000e+00, 6.8778e-07, ..., 1.8291e-06, 3.6694e-07, 1.0161e-06], [ 8.3819e-09, 0.0000e+00, 5.1688e-08, ..., 7.2643e-08, 7.0781e-08, 8.6147e-08], [ 5.6028e-06, 0.0000e+00, -5.5041e-07, ..., 2.4680e-08, -5.5926e-07, -1.0654e-06]], device='cuda:0') Epoch 216, bias, value: tensor([-0.0360, -0.0292, 0.0116, 0.0322, -0.0204, 0.0042, -0.0115, 0.0112, 0.0150, -0.0017], device='cuda:0'), grad: tensor([ 1.8906e-07, -9.8124e-06, 5.6662e-06, 1.2433e-06, -8.4639e-06, 1.1660e-06, -1.9651e-07, 5.0217e-06, 2.5379e-07, 4.9174e-06], device='cuda:0') 100 0.0001 changing lr epoch 215, time 214.37, cls_loss 0.0009 cls_loss_mapping 0.0023 cls_loss_causal 0.4931 re_mapping 0.0045 re_causal 0.0136 /// teacc 99.18 lr 0.00010000 Epoch 217, weight, value: tensor([[-0.0945, 0.0584, 0.0498, ..., -0.0782, -0.1208, 0.0613], [-0.0782, -0.0399, -0.0939, ..., 0.1646, -0.0765, -0.0680], [-0.0233, -0.0092, 0.1864, ..., -0.1086, -0.1270, -0.1163], ..., [-0.1029, -0.0520, 0.0084, ..., -0.0320, 0.1037, -0.0538], [-0.0886, -0.0858, -0.0713, ..., -0.1327, -0.0038, -0.1564], [-0.1719, -0.0545, -0.1327, ..., -0.1502, -0.0199, 0.1101]], device='cuda:0'), grad: tensor([[ 1.3970e-08, -2.7940e-09, -2.4494e-07, ..., 3.4925e-08, 9.3132e-10, -2.4075e-07], [ 9.4995e-08, 4.6566e-10, 6.6496e-07, ..., -4.2841e-08, 2.3283e-09, 7.4506e-09], [-1.2945e-07, 2.3283e-09, -2.2594e-06, ..., -5.2620e-08, 5.5879e-09, 1.4435e-08], ..., [ 1.7229e-08, 4.6566e-10, 6.5239e-07, ..., 2.1886e-08, 2.6077e-08, 2.1886e-08], [ 1.6764e-08, 9.3132e-10, 6.9197e-07, ..., 4.9826e-08, 2.3283e-09, 4.2375e-08], [ 8.2888e-08, 2.3283e-09, 1.4715e-07, ..., 4.1910e-09, 1.3970e-09, 7.9628e-08]], device='cuda:0') Epoch 217, bias, value: tensor([-0.0363, -0.0293, 0.0108, 0.0321, -0.0201, 0.0044, -0.0115, 0.0117, 0.0151, -0.0019], device='cuda:0'), grad: tensor([-2.4261e-07, 1.7518e-06, -5.8450e-06, -1.3523e-06, 1.2480e-07, 5.2899e-07, 1.6298e-08, 2.6878e-06, 2.0303e-06, 3.0128e-07], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 216---------------------------------------------------- epoch 216, time 230.96, cls_loss 0.0009 cls_loss_mapping 0.0025 cls_loss_causal 0.5178 re_mapping 0.0043 re_causal 0.0136 /// teacc 99.24 lr 0.00010000 Epoch 218, weight, value: tensor([[-0.0946, 0.0588, 0.0506, ..., -0.0784, -0.1212, 0.0616], [-0.0785, -0.0411, -0.0941, ..., 0.1647, -0.0767, -0.0680], [-0.0235, -0.0058, 0.1871, ..., -0.1087, -0.1270, -0.1164], ..., [-0.1033, -0.0538, 0.0083, ..., -0.0321, 0.1038, -0.0543], [-0.0890, -0.0891, -0.0716, ..., -0.1327, -0.0039, -0.1566], [-0.1723, -0.0546, -0.1331, ..., -0.1505, -0.0201, 0.1102]], device='cuda:0'), grad: tensor([[ 9.6392e-08, 8.0559e-08, -2.4550e-06, ..., 1.5367e-08, 1.3504e-08, -3.0175e-06], [ 6.2399e-08, 5.1223e-08, 4.9686e-07, ..., -1.5553e-07, 6.9849e-08, 1.0664e-07], [-2.2817e-06, -1.9204e-06, -7.4729e-06, ..., 2.7940e-08, 5.1223e-08, 3.1665e-07], ..., [ 2.4214e-07, 2.0303e-07, 9.9652e-07, ..., 1.3225e-07, -1.4435e-07, 2.1374e-07], [ 1.3690e-07, 1.1455e-07, 9.6764e-07, ..., 1.3504e-08, 6.7055e-08, 2.2724e-07], [ 8.3819e-09, 5.1223e-09, 9.9186e-07, ..., 1.8626e-09, 4.0513e-08, 6.0489e-07]], device='cuda:0') Epoch 218, bias, value: tensor([-0.0360, -0.0294, 0.0112, 0.0320, -0.0200, 0.0045, -0.0115, 0.0117, 0.0150, -0.0020], device='cuda:0'), grad: tensor([-8.0764e-06, 1.0151e-06, -1.0565e-05, 5.4948e-07, 5.3421e-06, 2.8256e-06, 3.1311e-06, 1.8002e-06, 1.4566e-06, 2.5071e-06], device='cuda:0') 100 0.0001 changing lr epoch 217, time 214.45, cls_loss 0.0008 cls_loss_mapping 0.0030 cls_loss_causal 0.4959 re_mapping 0.0044 re_causal 0.0136 /// teacc 99.14 lr 0.00010000 Epoch 219, weight, value: tensor([[-0.0948, 0.0588, 0.0511, ..., -0.0787, -0.1226, 0.0618], [-0.0793, -0.0437, -0.0952, ..., 0.1645, -0.0773, -0.0681], [-0.0237, -0.0042, 0.1874, ..., -0.1087, -0.1274, -0.1166], ..., [-0.1035, -0.0543, 0.0085, ..., -0.0321, 0.1043, -0.0545], [-0.0899, -0.0897, -0.0717, ..., -0.1328, -0.0039, -0.1568], [-0.1725, -0.0544, -0.1334, ..., -0.1508, -0.0204, 0.1104]], device='cuda:0'), grad: tensor([[ 7.9162e-09, 4.6566e-10, 1.6764e-08, ..., 2.0908e-07, 4.2375e-08, -9.3132e-10], [ 3.6787e-08, 4.6566e-10, 1.8487e-07, ..., -7.4971e-08, 1.0990e-07, 1.1642e-08], [ 4.0513e-08, 1.8626e-09, 1.9930e-06, ..., 1.7090e-07, 1.2135e-06, 2.6077e-08], ..., [ 2.3283e-08, 1.6764e-08, -3.5986e-06, ..., 8.8941e-08, -2.1867e-06, 8.5682e-08], [ 6.7055e-08, 1.3970e-09, 9.6112e-07, ..., 3.0408e-07, 5.6298e-07, 1.8813e-07], [ 1.8952e-07, 4.6566e-10, -4.2841e-08, ..., 2.6077e-08, 9.4529e-08, -3.0221e-07]], device='cuda:0') Epoch 219, bias, value: tensor([-0.0359, -0.0300, 0.0112, 0.0321, -0.0200, 0.0040, -0.0112, 0.0120, 0.0150, -0.0019], device='cuda:0'), grad: tensor([ 7.3668e-07, 3.4552e-07, 4.0531e-06, 9.6019e-07, 5.6997e-07, -1.3653e-06, -3.1795e-06, -4.9025e-06, 2.8387e-06, -5.9605e-08], device='cuda:0') 100 0.0001 changing lr epoch 218, time 214.54, cls_loss 0.0008 cls_loss_mapping 0.0030 cls_loss_causal 0.5143 re_mapping 0.0042 re_causal 0.0136 /// teacc 99.16 lr 0.00010000 Epoch 220, weight, value: tensor([[-0.0949, 0.0586, 0.0516, ..., -0.0791, -0.1231, 0.0618], [-0.0799, -0.0438, -0.0954, ..., 0.1653, -0.0774, -0.0682], [-0.0242, -0.0042, 0.1875, ..., -0.1088, -0.1275, -0.1168], ..., [-0.1043, -0.0543, 0.0085, ..., -0.0336, 0.1044, -0.0549], [-0.0906, -0.0899, -0.0717, ..., -0.1330, -0.0039, -0.1571], [-0.1729, -0.0545, -0.1337, ..., -0.1511, -0.0207, 0.1106]], device='cuda:0'), grad: tensor([[ 1.2293e-07, 0.0000e+00, -2.7809e-06, ..., -2.0564e-06, 3.2969e-07, -1.2934e-05], [ 5.9744e-07, 0.0000e+00, 3.7858e-07, ..., 4.5169e-08, 1.6633e-06, 6.2957e-07], [ 2.4494e-07, 0.0000e+00, 8.2422e-07, ..., 2.8871e-08, 1.2387e-06, 2.6356e-07], ..., [-2.2370e-06, 0.0000e+00, -1.6922e-06, ..., 8.1025e-08, -6.9067e-06, -3.8138e-07], [ 6.1933e-08, 0.0000e+00, 1.2945e-07, ..., 9.0338e-08, 1.4342e-07, 5.2247e-07], [ 3.6974e-07, 0.0000e+00, 2.0750e-06, ..., 1.3970e-06, 9.3877e-07, 8.8066e-06]], device='cuda:0') Epoch 220, bias, value: tensor([-0.0358, -0.0296, 0.0111, 0.0321, -0.0199, 0.0040, -0.0111, 0.0118, 0.0149, -0.0019], device='cuda:0'), grad: tensor([-6.0648e-05, 6.1952e-06, 3.6471e-06, -6.4448e-06, 1.6745e-06, 1.7181e-05, 7.1004e-06, -1.5289e-05, 2.7474e-06, 4.3809e-05], device='cuda:0') 100 0.0001 changing lr epoch 219, time 214.40, cls_loss 0.0007 cls_loss_mapping 0.0024 cls_loss_causal 0.5042 re_mapping 0.0044 re_causal 0.0143 /// teacc 99.17 lr 0.00010000 Epoch 221, weight, value: tensor([[-0.0951, 0.0586, 0.0520, ..., -0.0806, -0.1240, 0.0618], [-0.0803, -0.0439, -0.0958, ..., 0.1654, -0.0776, -0.0682], [-0.0248, -0.0042, 0.1874, ..., -0.1095, -0.1277, -0.1169], ..., [-0.1051, -0.0544, 0.0089, ..., -0.0325, 0.1045, -0.0552], [-0.0912, -0.0899, -0.0718, ..., -0.1331, -0.0039, -0.1573], [-0.1739, -0.0545, -0.1344, ..., -0.1516, -0.0213, 0.1106]], device='cuda:0'), grad: tensor([[ 5.5367e-07, 0.0000e+00, 4.7777e-07, ..., 1.1176e-07, 4.6100e-08, 8.7405e-07], [ 1.5832e-08, 0.0000e+00, 1.1316e-07, ..., -1.3970e-09, 6.4727e-08, 1.4435e-08], [ 1.1642e-08, -4.6566e-10, -2.6263e-07, ..., 1.0245e-08, 9.9186e-08, 3.9116e-08], ..., [ 5.0757e-08, 0.0000e+00, -1.7695e-07, ..., 2.3283e-09, 8.8476e-09, 1.3318e-07], [ 4.1444e-08, 4.6566e-10, 1.6531e-07, ..., 1.0245e-08, -2.3236e-07, 4.1444e-08], [ 8.0094e-08, 0.0000e+00, 3.9581e-08, ..., 1.8626e-09, 4.0047e-08, -4.0047e-07]], device='cuda:0') Epoch 221, bias, value: tensor([-0.0359, -0.0300, 0.0098, 0.0322, -0.0195, 0.0041, -0.0108, 0.0125, 0.0148, -0.0023], device='cuda:0'), grad: tensor([ 4.3809e-06, 3.0408e-07, -2.0023e-08, 3.7067e-07, -7.7439e-07, -5.5460e-07, -3.0156e-06, 1.5423e-06, -1.5050e-06, -7.2503e-07], device='cuda:0') 100 0.0001 changing lr epoch 220, time 214.55, cls_loss 0.0007 cls_loss_mapping 0.0026 cls_loss_causal 0.5285 re_mapping 0.0043 re_causal 0.0142 /// teacc 99.19 lr 0.00010000 Epoch 222, weight, value: tensor([[-0.0952, 0.0586, 0.0523, ..., -0.0811, -0.1252, 0.0619], [-0.0809, -0.0439, -0.0961, ..., 0.1655, -0.0778, -0.0683], [-0.0250, -0.0042, 0.1874, ..., -0.1095, -0.1279, -0.1171], ..., [-0.1061, -0.0544, 0.0091, ..., -0.0325, 0.1047, -0.0558], [-0.0913, -0.0899, -0.0718, ..., -0.1332, -0.0040, -0.1572], [-0.1744, -0.0545, -0.1353, ..., -0.1523, -0.0222, 0.1107]], device='cuda:0'), grad: tensor([[ 2.1420e-08, 0.0000e+00, -5.0664e-07, ..., 4.0978e-08, 8.4285e-08, -6.2818e-07], [ 4.3306e-08, 0.0000e+00, 3.0082e-07, ..., -2.0023e-08, 8.9407e-07, 1.1316e-07], [ 4.1444e-08, -4.6566e-10, 1.2899e-07, ..., 4.4238e-08, 2.3236e-07, 8.8476e-08], ..., [ 4.9360e-08, 0.0000e+00, -1.3262e-06, ..., 4.7963e-08, 3.5437e-07, 1.0051e-05], [-4.3306e-08, 0.0000e+00, 4.2841e-07, ..., 8.8941e-08, 1.5311e-06, 5.2620e-07], [ 9.1875e-07, 0.0000e+00, 6.1514e-07, ..., 1.2107e-08, -4.1164e-06, -1.0602e-05]], device='cuda:0') Epoch 222, bias, value: tensor([-0.0359, -0.0301, 0.0096, 0.0324, -0.0192, 0.0037, -0.0108, 0.0127, 0.0148, -0.0027], device='cuda:0'), grad: tensor([-4.5681e-07, 4.1425e-06, 1.4957e-06, -3.7923e-06, 5.9232e-07, 4.4927e-06, -2.1756e-06, 9.7975e-06, 7.3574e-06, -2.1458e-05], device='cuda:0') 100 0.0001 changing lr epoch 221, time 214.26, cls_loss 0.0009 cls_loss_mapping 0.0023 cls_loss_causal 0.4828 re_mapping 0.0044 re_causal 0.0133 /// teacc 99.18 lr 0.00010000 Epoch 223, weight, value: tensor([[-0.0955, 0.0586, 0.0522, ..., -0.0816, -0.1270, 0.0619], [-0.0813, -0.0442, -0.0990, ..., 0.1645, -0.0780, -0.0683], [-0.0256, -0.0041, 0.1893, ..., -0.1081, -0.1280, -0.1172], ..., [-0.1073, -0.0545, 0.0090, ..., -0.0330, 0.1049, -0.0571], [-0.0915, -0.0899, -0.0718, ..., -0.1334, -0.0039, -0.1573], [-0.1755, -0.0545, -0.1358, ..., -0.1527, -0.0224, 0.1110]], device='cuda:0'), grad: tensor([[ 1.8626e-08, 0.0000e+00, -1.3178e-07, ..., 6.7521e-08, 1.3970e-08, -6.5658e-08], [-3.1479e-07, 0.0000e+00, -5.7742e-08, ..., -6.6869e-06, 1.5041e-07, 2.1886e-08], [ 3.0734e-08, 0.0000e+00, -2.7474e-08, ..., 1.4622e-07, 9.5461e-08, 3.3528e-08], ..., [ 1.7742e-07, 0.0000e+00, -6.0629e-07, ..., 1.2387e-06, -1.4389e-06, 6.9663e-07], [ 2.5146e-08, 0.0000e+00, 2.9523e-07, ..., 4.7348e-06, 5.3691e-07, 6.8452e-08], [ 1.3085e-07, 0.0000e+00, 1.3970e-07, ..., 2.9337e-08, 1.8999e-07, -8.8708e-07]], device='cuda:0') Epoch 223, bias, value: tensor([-0.0361, -0.0314, 0.0112, 0.0324, -0.0189, 0.0035, -0.0107, 0.0125, 0.0149, -0.0029], device='cuda:0'), grad: tensor([ 5.4017e-08, -1.5661e-05, 6.0257e-07, 1.1735e-07, 1.4603e-06, 9.1363e-07, -6.5658e-08, 2.0172e-06, 1.1504e-05, -9.4017e-07], device='cuda:0') 100 0.0001 changing lr epoch 222, time 214.31, cls_loss 0.0007 cls_loss_mapping 0.0017 cls_loss_causal 0.4830 re_mapping 0.0043 re_causal 0.0136 /// teacc 99.14 lr 0.00010000 Epoch 224, weight, value: tensor([[-0.0962, 0.0586, 0.0527, ..., -0.0827, -0.1276, 0.0620], [-0.0814, -0.0445, -0.0990, ..., 0.1649, -0.0782, -0.0684], [-0.0258, -0.0041, 0.1896, ..., -0.1082, -0.1281, -0.1174], ..., [-0.1078, -0.0546, 0.0089, ..., -0.0333, 0.1049, -0.0585], [-0.0920, -0.0900, -0.0719, ..., -0.1337, -0.0039, -0.1576], [-0.1755, -0.0546, -0.1364, ..., -0.1532, -0.0222, 0.1113]], device='cuda:0'), grad: tensor([[-1.7369e-06, 0.0000e+00, -1.8589e-06, ..., -2.4214e-08, 3.2596e-09, -2.2035e-06], [ 1.0571e-07, 0.0000e+00, 1.4855e-07, ..., -1.3877e-07, 3.1199e-08, 1.1967e-07], [ 1.8161e-07, 0.0000e+00, -8.5216e-08, ..., 2.9337e-08, 9.7789e-09, 1.9697e-07], ..., [ 5.3085e-08, 0.0000e+00, 1.0710e-07, ..., 3.2596e-08, -9.1270e-08, 1.7742e-07], [ 5.3085e-07, 0.0000e+00, 5.3784e-07, ..., 1.0803e-07, 2.4680e-08, 5.2201e-07], [ 3.5623e-07, 0.0000e+00, 3.8836e-07, ..., 1.9558e-08, 1.3504e-08, 1.1735e-07]], device='cuda:0') Epoch 224, bias, value: tensor([-0.0361, -0.0312, 0.0113, 0.0324, -0.0191, 0.0037, -0.0106, 0.0123, 0.0148, -0.0027], device='cuda:0'), grad: tensor([-6.6049e-06, 2.9197e-07, 5.2946e-07, -2.3730e-06, 7.3994e-07, 2.1160e-06, 8.9919e-07, 9.4110e-07, 2.8573e-06, 5.7835e-07], device='cuda:0') 100 0.0001 changing lr epoch 223, time 214.26, cls_loss 0.0008 cls_loss_mapping 0.0026 cls_loss_causal 0.4966 re_mapping 0.0045 re_causal 0.0135 /// teacc 99.12 lr 0.00010000 Epoch 225, weight, value: tensor([[-0.0963, 0.0586, 0.0537, ..., -0.0829, -0.1287, 0.0622], [-0.0814, -0.0446, -0.0992, ..., 0.1656, -0.0783, -0.0685], [-0.0261, -0.0040, 0.1898, ..., -0.1083, -0.1282, -0.1177], ..., [-0.1088, -0.0546, 0.0089, ..., -0.0339, 0.1049, -0.0600], [-0.0920, -0.0901, -0.0720, ..., -0.1338, -0.0040, -0.1578], [-0.1757, -0.0546, -0.1370, ..., -0.1536, -0.0224, 0.1118]], device='cuda:0'), grad: tensor([[ 6.3777e-06, 0.0000e+00, 7.3109e-08, ..., 1.7835e-07, 9.6392e-07, 1.4901e-07], [ 2.5798e-07, 0.0000e+00, 2.6217e-07, ..., -5.0431e-07, 4.7125e-07, 1.4831e-07], [ 1.4924e-07, 0.0000e+00, -7.6741e-07, ..., 2.0606e-07, 3.8743e-07, 3.0501e-08], ..., [ 3.0361e-07, 2.0955e-09, -3.0012e-07, ..., 1.8394e-07, -8.4797e-07, 7.8510e-07], [ 1.2256e-06, 0.0000e+00, 3.4412e-07, ..., 1.7090e-06, 2.5076e-07, 1.9907e-07], [ 4.3702e-07, 0.0000e+00, 6.6822e-08, ..., 4.1211e-08, -1.8561e-06, -8.9854e-06]], device='cuda:0') Epoch 225, bias, value: tensor([-0.0358, -0.0311, 0.0112, 0.0325, -0.0193, 0.0038, -0.0107, 0.0121, 0.0148, -0.0025], device='cuda:0'), grad: tensor([ 9.4101e-06, 2.2259e-07, -4.6100e-08, -1.6000e-06, -2.3752e-05, 1.4640e-05, 8.2180e-06, 5.0897e-07, 5.6177e-06, -1.3247e-05], device='cuda:0') 100 0.0001 changing lr epoch 224, time 214.29, cls_loss 0.0009 cls_loss_mapping 0.0028 cls_loss_causal 0.4815 re_mapping 0.0046 re_causal 0.0134 /// teacc 99.14 lr 0.00010000 Epoch 226, weight, value: tensor([[-0.0967, 0.0584, 0.0538, ..., -0.0839, -0.1324, 0.0622], [-0.0817, -0.0454, -0.0994, ..., 0.1660, -0.0786, -0.0685], [-0.0259, -0.0035, 0.1904, ..., -0.1085, -0.1284, -0.1179], ..., [-0.1092, -0.0564, 0.0092, ..., -0.0341, 0.1053, -0.0610], [-0.0923, -0.0912, -0.0723, ..., -0.1339, -0.0041, -0.1585], [-0.1766, -0.0546, -0.1376, ..., -0.1550, -0.0233, 0.1120]], device='cuda:0'), grad: tensor([[ 6.9849e-10, 1.3970e-09, -7.4226e-07, ..., 3.4226e-08, 5.3551e-09, -6.4587e-07], [ 2.0955e-09, 4.6566e-10, 7.4971e-08, ..., -4.6752e-07, 5.4948e-08, 2.3516e-08], [ 9.3132e-10, 2.3283e-10, 1.2270e-07, ..., 1.1246e-07, 6.8452e-08, 6.4960e-08], ..., [ 1.1642e-09, 4.6566e-10, -1.9511e-07, ..., 3.5157e-08, -2.0675e-07, 6.0536e-09], [ 1.1642e-09, 9.3132e-10, -2.3236e-07, ..., 2.2422e-07, 2.7940e-09, 5.7509e-08], [ 6.2864e-09, -1.3737e-08, 5.0059e-07, ..., 6.7521e-09, 4.4238e-08, 1.2293e-07]], device='cuda:0') Epoch 226, bias, value: tensor([-0.0360, -0.0312, 0.0115, 0.0324, -0.0188, 0.0041, -0.0107, 0.0123, 0.0146, -0.0028], device='cuda:0'), grad: tensor([-1.3728e-06, -6.6496e-07, 8.2981e-07, 1.6205e-06, 3.0361e-07, 2.1118e-07, 1.8403e-06, -8.6613e-08, -3.7774e-06, 1.0896e-06], device='cuda:0') 100 0.0001 changing lr epoch 225, time 214.31, cls_loss 0.0010 cls_loss_mapping 0.0026 cls_loss_causal 0.5020 re_mapping 0.0046 re_causal 0.0137 /// teacc 99.17 lr 0.00010000 Epoch 227, weight, value: tensor([[-0.0969, 0.0588, 0.0546, ..., -0.0848, -0.1326, 0.0626], [-0.0829, -0.0459, -0.0996, ..., 0.1670, -0.0788, -0.0686], [-0.0267, -0.0035, 0.1905, ..., -0.1089, -0.1286, -0.1180], ..., [-0.1097, -0.0566, 0.0093, ..., -0.0348, 0.1055, -0.0614], [-0.0925, -0.0914, -0.0722, ..., -0.1332, -0.0041, -0.1587], [-0.1785, -0.0547, -0.1382, ..., -0.1558, -0.0236, 0.1123]], device='cuda:0'), grad: tensor([[ 1.6484e-07, 0.0000e+00, 4.9872e-07, ..., 1.5786e-07, 4.1910e-09, 2.2119e-07], [ 4.1141e-07, 0.0000e+00, 2.4680e-08, ..., -9.1502e-07, 1.6531e-08, 2.5611e-08], [ 1.2969e-07, 0.0000e+00, -3.6648e-07, ..., 7.1153e-07, 1.1874e-08, 1.9325e-08], ..., [ 4.1211e-08, 0.0000e+00, 1.2689e-07, ..., 1.6787e-07, -8.3819e-09, 6.9151e-08], [ 5.2266e-06, 0.0000e+00, -4.3921e-06, ..., 3.9302e-06, 1.1409e-07, -1.9521e-06], [ 8.0559e-08, 0.0000e+00, 3.6452e-06, ..., 6.6357e-08, 3.7253e-08, 1.0086e-06]], device='cuda:0') Epoch 227, bias, value: tensor([-0.0359, -0.0308, 0.0112, 0.0325, -0.0181, 0.0036, -0.0125, 0.0121, 0.0155, -0.0035], device='cuda:0'), grad: tensor([ 2.2259e-06, -1.6876e-06, 1.8887e-06, 1.2573e-06, 3.8520e-06, 6.2697e-06, -2.4721e-05, 9.9093e-07, -2.1737e-06, 1.2055e-05], device='cuda:0') 100 0.0001 changing lr epoch 226, time 214.58, cls_loss 0.0008 cls_loss_mapping 0.0019 cls_loss_causal 0.4835 re_mapping 0.0045 re_causal 0.0136 /// teacc 99.09 lr 0.00010000 Epoch 228, weight, value: tensor([[-0.0972, 0.0585, 0.0549, ..., -0.0860, -0.1331, 0.0625], [-0.0836, -0.0460, -0.0998, ..., 0.1677, -0.0790, -0.0687], [-0.0264, -0.0034, 0.1909, ..., -0.1091, -0.1288, -0.1181], ..., [-0.1101, -0.0567, 0.0094, ..., -0.0354, 0.1057, -0.0617], [-0.0930, -0.0915, -0.0723, ..., -0.1333, -0.0042, -0.1588], [-0.1793, -0.0547, -0.1390, ..., -0.1563, -0.0241, 0.1123]], device='cuda:0'), grad: tensor([[ 4.1910e-09, 0.0000e+00, -2.8173e-08, ..., 6.7521e-09, 3.2596e-09, -3.5390e-08], [ 7.3342e-08, 0.0000e+00, 4.3074e-08, ..., -8.2422e-08, 4.0978e-08, 2.0955e-09], [ 3.9581e-08, 0.0000e+00, -7.2317e-07, ..., 2.6077e-08, 1.1642e-08, 2.0955e-09], ..., [ 3.4925e-09, 0.0000e+00, 5.5647e-07, ..., 5.1223e-08, -1.3737e-08, 4.6566e-09], [ 1.9791e-08, 0.0000e+00, 1.7695e-08, ..., 2.9569e-08, 2.6776e-08, 1.1176e-08], [ 3.7719e-08, 0.0000e+00, 3.1199e-08, ..., 6.0536e-09, 6.9849e-09, 8.3819e-09]], device='cuda:0') Epoch 228, bias, value: tensor([-0.0361, -0.0306, 0.0112, 0.0325, -0.0179, 0.0036, -0.0123, 0.0122, 0.0155, -0.0040], device='cuda:0'), grad: tensor([ 2.8871e-08, 5.0291e-07, -1.4035e-06, -1.2200e-06, 7.6368e-08, 4.6683e-07, 3.7719e-07, 1.4026e-06, -4.2818e-07, 1.9465e-07], device='cuda:0') 100 0.0001 changing lr epoch 227, time 214.34, cls_loss 0.0009 cls_loss_mapping 0.0022 cls_loss_causal 0.4800 re_mapping 0.0043 re_causal 0.0137 /// teacc 99.11 lr 0.00010000 Epoch 229, weight, value: tensor([[-0.0974, 0.0585, 0.0553, ..., -0.0867, -0.1337, 0.0626], [-0.0864, -0.0463, -0.1024, ..., 0.1667, -0.0792, -0.0688], [-0.0274, -0.0033, 0.1927, ..., -0.1079, -0.1290, -0.1183], ..., [-0.1119, -0.0567, 0.0093, ..., -0.0369, 0.1057, -0.0631], [-0.0935, -0.0912, -0.0723, ..., -0.1333, -0.0042, -0.1591], [-0.1818, -0.0548, -0.1392, ..., -0.1572, -0.0242, 0.1120]], device='cuda:0'), grad: tensor([[ 2.7474e-08, 0.0000e+00, 2.2352e-08, ..., 2.1420e-08, 1.0710e-08, 1.1176e-08], [ 2.3767e-06, 0.0000e+00, 1.0896e-07, ..., 1.1837e-06, 2.4401e-07, 1.1176e-08], [ 4.1910e-08, 0.0000e+00, 2.4680e-08, ..., 3.2131e-08, 2.5006e-07, 1.0245e-08], ..., [ 6.4448e-07, 0.0000e+00, -8.6939e-07, ..., 3.2503e-07, -2.0582e-06, 8.2888e-08], [ 1.4734e-06, 0.0000e+00, -5.5879e-09, ..., 7.9488e-07, -3.2270e-07, -3.3528e-08], [ 8.1025e-07, 0.0000e+00, 8.7544e-08, ..., 4.0513e-07, 2.0396e-07, -1.2247e-07]], device='cuda:0') Epoch 229, bias, value: tensor([-0.0361, -0.0326, 0.0127, 0.0326, -0.0152, 0.0036, -0.0124, 0.0117, 0.0155, -0.0056], device='cuda:0'), grad: tensor([ 2.1793e-07, 7.8902e-06, 8.4238e-07, 3.9861e-06, -1.6257e-05, 1.3039e-06, 1.0543e-06, -2.3656e-06, -8.3912e-07, 4.1649e-06], device='cuda:0') 100 0.0001 changing lr epoch 228, time 214.56, cls_loss 0.0008 cls_loss_mapping 0.0017 cls_loss_causal 0.4951 re_mapping 0.0046 re_causal 0.0142 /// teacc 99.13 lr 0.00010000 Epoch 230, weight, value: tensor([[-0.0983, 0.0587, 0.0543, ..., -0.0879, -0.1340, 0.0627], [-0.0838, -0.0469, -0.1026, ..., 0.1680, -0.0795, -0.0679], [-0.0257, -0.0014, 0.1935, ..., -0.1079, -0.1290, -0.1184], ..., [-0.1125, -0.0569, 0.0092, ..., -0.0384, 0.1059, -0.0655], [-0.0945, -0.0913, -0.0724, ..., -0.1334, -0.0042, -0.1593], [-0.1819, -0.0548, -0.1393, ..., -0.1579, -0.0246, 0.1125]], device='cuda:0'), grad: tensor([[ 1.5413e-06, 0.0000e+00, -4.6846e-07, ..., 1.0356e-06, 9.3132e-10, -1.3504e-07], [ 2.1327e-06, 0.0000e+00, 1.3318e-07, ..., 1.2554e-06, 1.5460e-07, 2.3935e-07], [ 1.7639e-06, 0.0000e+00, 1.8720e-07, ..., 2.3190e-07, 8.4750e-08, 1.2852e-07], ..., [ 6.8825e-07, 0.0000e+00, -2.2212e-07, ..., -3.7253e-08, -2.8964e-07, 1.7695e-08], [ 2.1001e-07, 0.0000e+00, 5.1223e-08, ..., 5.0897e-07, 5.1223e-09, 1.2014e-07], [ 7.3155e-07, 0.0000e+00, 1.2713e-07, ..., 2.4214e-07, 6.5193e-09, 1.1409e-07]], device='cuda:0') Epoch 230, bias, value: tensor([-0.0366, -0.0301, 0.0131, 0.0324, -0.0175, 0.0036, -0.0121, 0.0111, 0.0155, -0.0054], device='cuda:0'), grad: tensor([ 2.5444e-06, 4.7386e-06, 3.4012e-06, 2.7642e-06, 4.2021e-06, 4.9882e-06, -2.3842e-05, 5.0990e-07, -8.0839e-07, 1.5488e-06], device='cuda:0') 100 0.0001 changing lr epoch 229, time 214.37, cls_loss 0.0009 cls_loss_mapping 0.0028 cls_loss_causal 0.4958 re_mapping 0.0045 re_causal 0.0136 /// teacc 98.99 lr 0.00010000 Epoch 231, weight, value: tensor([[-0.0984, 0.0591, 0.0556, ..., -0.0882, -0.1345, 0.0632], [-0.0838, -0.0475, -0.1037, ..., 0.1685, -0.0799, -0.0671], [-0.0259, -0.0013, 0.1944, ..., -0.1076, -0.1293, -0.1187], ..., [-0.1133, -0.0569, 0.0093, ..., -0.0399, 0.1062, -0.0672], [-0.0954, -0.0914, -0.0725, ..., -0.1335, -0.0042, -0.1592], [-0.1820, -0.0549, -0.1401, ..., -0.1588, -0.0249, 0.1127]], device='cuda:0'), grad: tensor([[ 9.3132e-10, -2.5053e-07, -1.4799e-06, ..., -1.4435e-08, 9.3132e-09, -7.6275e-07], [ 3.7253e-09, 7.9162e-09, 1.6112e-07, ..., -1.2526e-07, 8.8010e-08, 4.1910e-08], [ 3.7253e-09, 9.6392e-08, -1.9744e-07, ..., 3.4925e-08, 4.4238e-08, 2.7474e-07], ..., [ 1.3970e-09, 7.9162e-09, -7.4506e-09, ..., 1.4435e-08, -1.8859e-07, 8.7544e-08], [ 2.3283e-09, 4.6566e-08, 5.4622e-07, ..., 4.9826e-08, 4.2142e-07, 4.0280e-07], [ 1.8626e-08, 9.3132e-09, 1.1362e-07, ..., 3.7253e-09, 2.4214e-08, -2.5518e-07]], device='cuda:0') Epoch 231, bias, value: tensor([-0.0362, -0.0302, 0.0137, 0.0328, -0.0175, 0.0016, -0.0114, 0.0106, 0.0155, -0.0053], device='cuda:0'), grad: tensor([-2.1998e-06, 1.8999e-07, -3.6089e-07, 1.3374e-06, 2.5425e-07, -2.7884e-06, 1.5497e-06, 1.8626e-08, 2.3060e-06, -3.2643e-07], device='cuda:0') 100 0.0001 changing lr epoch 230, time 214.38, cls_loss 0.0013 cls_loss_mapping 0.0032 cls_loss_causal 0.5241 re_mapping 0.0046 re_causal 0.0143 /// teacc 99.15 lr 0.00010000 Epoch 232, weight, value: tensor([[-0.1017, 0.0561, 0.0543, ..., -0.0894, -0.1355, 0.0608], [-0.0840, -0.0490, -0.1051, ..., 0.1671, -0.0805, -0.0673], [-0.0250, -0.0015, 0.1956, ..., -0.1064, -0.1296, -0.1195], ..., [-0.1135, -0.0570, 0.0095, ..., -0.0389, 0.1065, -0.0681], [-0.0975, -0.0946, -0.0730, ..., -0.1342, -0.0045, -0.1611], [-0.1822, -0.0552, -0.1407, ..., -0.1600, -0.0252, 0.1130]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 0.0000e+00, -5.5879e-09, ..., 1.0571e-07, 3.2596e-09, 8.5682e-08], [ 9.3132e-10, 0.0000e+00, 1.4435e-08, ..., 1.8626e-08, 2.8405e-08, 2.9802e-08], [ 5.5879e-09, 0.0000e+00, -3.6415e-07, ..., 9.3132e-09, -4.3306e-08, 7.9162e-09], ..., [ 0.0000e+00, 0.0000e+00, 3.1805e-07, ..., 5.1223e-09, 4.6566e-10, 3.2596e-09], [-1.8859e-07, 0.0000e+00, 1.0245e-08, ..., 7.5903e-08, 3.4459e-08, 4.5169e-08], [ 3.2596e-09, 0.0000e+00, 4.6566e-09, ..., 1.9092e-08, 1.1642e-08, 1.7695e-08]], device='cuda:0') Epoch 232, bias, value: tensor([-0.0390, -0.0315, 0.0147, 0.0353, -0.0176, 0.0043, -0.0131, 0.0110, 0.0149, -0.0052], device='cuda:0'), grad: tensor([ 2.1793e-07, 1.7742e-07, -2.6543e-07, 1.8962e-06, 6.7987e-08, 3.0734e-08, -2.0601e-06, 3.5297e-07, -5.4436e-07, 1.2433e-07], device='cuda:0') 100 0.0001 changing lr epoch 231, time 214.37, cls_loss 0.0010 cls_loss_mapping 0.0019 cls_loss_causal 0.5042 re_mapping 0.0041 re_causal 0.0132 /// teacc 99.09 lr 0.00010000 Epoch 233, weight, value: tensor([[-0.1017, 0.0561, 0.0551, ..., -0.0894, -0.1357, 0.0608], [-0.0841, -0.0493, -0.1056, ..., 0.1673, -0.0814, -0.0674], [-0.0253, -0.0015, 0.1959, ..., -0.1065, -0.1299, -0.1198], ..., [-0.1143, -0.0571, 0.0097, ..., -0.0393, 0.1069, -0.0685], [-0.0978, -0.0946, -0.0731, ..., -0.1343, -0.0044, -0.1623], [-0.1831, -0.0554, -0.1416, ..., -0.1608, -0.0258, 0.1135]], device='cuda:0'), grad: tensor([[ 4.6566e-09, -4.6566e-10, -1.1194e-06, ..., 1.9558e-08, 7.1246e-08, -3.8138e-07], [ 1.3039e-08, 0.0000e+00, 5.4529e-07, ..., -2.5425e-07, 6.8359e-07, 4.3306e-08], [ 1.3970e-08, 0.0000e+00, 7.9069e-07, ..., 1.6578e-07, 9.6392e-07, 1.2014e-07], ..., [ 2.3283e-09, 0.0000e+00, -2.4792e-06, ..., 6.7521e-08, -3.6079e-06, 4.7497e-08], [ 1.7229e-08, 0.0000e+00, 2.4773e-07, ..., 6.4727e-08, 5.9931e-07, 2.0675e-07], [ 7.4506e-09, 0.0000e+00, 5.8906e-07, ..., 7.9162e-09, 7.0175e-07, 7.7765e-08]], device='cuda:0') Epoch 233, bias, value: tensor([-0.0389, -0.0318, 0.0147, 0.0353, -0.0174, 0.0038, -0.0128, 0.0111, 0.0149, -0.0054], device='cuda:0'), grad: tensor([-1.9819e-06, 2.2165e-06, 4.1313e-06, 8.7544e-06, 4.0093e-07, -5.4538e-06, 3.8967e-06, -1.0677e-05, -4.3251e-06, 3.0510e-06], device='cuda:0') 100 0.0001 changing lr epoch 232, time 214.20, cls_loss 0.0008 cls_loss_mapping 0.0022 cls_loss_causal 0.4760 re_mapping 0.0045 re_causal 0.0134 /// teacc 99.02 lr 0.00010000 Epoch 234, weight, value: tensor([[-0.1017, 0.0561, 0.0555, ..., -0.0894, -0.1360, 0.0609], [-0.0841, -0.0495, -0.1058, ..., 0.1674, -0.0828, -0.0675], [-0.0258, -0.0016, 0.1959, ..., -0.1067, -0.1302, -0.1201], ..., [-0.1136, -0.0574, 0.0096, ..., -0.0394, 0.1075, -0.0694], [-0.0984, -0.0946, -0.0735, ..., -0.1344, -0.0045, -0.1627], [-0.1834, -0.0555, -0.1397, ..., -0.1616, -0.0260, 0.1140]], device='cuda:0'), grad: tensor([[ 3.2596e-09, 0.0000e+00, -8.3819e-08, ..., 1.2573e-08, 1.3970e-09, -1.6764e-08], [ 3.7253e-09, 0.0000e+00, 2.4214e-08, ..., -7.9162e-09, 2.0023e-08, 2.8871e-08], [ 7.4506e-09, 0.0000e+00, 1.3970e-09, ..., 1.3970e-08, 2.9337e-08, 2.4214e-08], ..., [ 6.0536e-09, 0.0000e+00, -4.8894e-08, ..., 1.2107e-08, -7.5437e-08, 3.3341e-07], [ 5.8673e-08, 0.0000e+00, 1.7695e-08, ..., 5.2154e-08, 1.6298e-08, 3.5996e-07], [-1.7835e-07, 0.0000e+00, 3.1199e-08, ..., 1.3970e-09, 1.1176e-08, -1.8310e-06]], device='cuda:0') Epoch 234, bias, value: tensor([-0.0389, -0.0324, 0.0145, 0.0353, -0.0175, 0.0039, -0.0127, 0.0115, 0.0146, -0.0040], device='cuda:0'), grad: tensor([-1.5367e-08, 1.4994e-07, 1.5181e-07, 1.6438e-07, 2.4848e-06, 6.6217e-07, 1.1781e-07, 6.5239e-07, 8.6240e-07, -5.2415e-06], device='cuda:0') 100 0.0001 changing lr epoch 233, time 214.45, cls_loss 0.0008 cls_loss_mapping 0.0017 cls_loss_causal 0.4836 re_mapping 0.0045 re_causal 0.0138 /// teacc 99.12 lr 0.00010000 Epoch 235, weight, value: tensor([[-0.1017, 0.0561, 0.0566, ..., -0.0894, -0.1366, 0.0611], [-0.0842, -0.0499, -0.1060, ..., 0.1676, -0.0830, -0.0676], [-0.0256, -0.0017, 0.1962, ..., -0.1067, -0.1306, -0.1209], ..., [-0.1138, -0.0574, 0.0098, ..., -0.0398, 0.1080, -0.0700], [-0.0988, -0.0947, -0.0737, ..., -0.1345, -0.0045, -0.1631], [-0.1831, -0.0562, -0.1402, ..., -0.1622, -0.0266, 0.1146]], device='cuda:0'), grad: tensor([[ 4.1910e-09, 0.0000e+00, -3.4589e-06, ..., -1.1828e-07, 2.3283e-09, -1.8300e-06], [-2.1560e-07, 0.0000e+00, 4.8103e-07, ..., -9.4064e-08, 1.6764e-08, 3.4273e-07], [ 1.1502e-07, 0.0000e+00, 1.8580e-07, ..., 8.7544e-08, 1.1176e-08, 1.1921e-07], ..., [ 5.5414e-08, 0.0000e+00, 9.7789e-08, ..., 2.1141e-07, -5.1223e-08, 5.0291e-08], [ 6.9849e-09, 0.0000e+00, 2.4354e-07, ..., 7.3295e-07, 2.4075e-07, 2.1141e-07], [ 3.2131e-08, 0.0000e+00, 6.4587e-07, ..., 4.3772e-08, 1.0245e-08, 3.0082e-07]], device='cuda:0') Epoch 235, bias, value: tensor([-0.0388, -0.0324, 0.0145, 0.0353, -0.0177, 0.0037, -0.0128, 0.0115, 0.0145, -0.0037], device='cuda:0'), grad: tensor([-9.3430e-06, 8.5589e-07, 9.3924e-07, 3.8147e-06, 1.6950e-06, 4.9956e-06, -7.6443e-06, 7.7114e-07, 2.1029e-06, 1.8468e-06], device='cuda:0') 100 0.0001 changing lr epoch 234, time 214.78, cls_loss 0.0007 cls_loss_mapping 0.0018 cls_loss_causal 0.4670 re_mapping 0.0042 re_causal 0.0130 /// teacc 99.17 lr 0.00010000 Epoch 236, weight, value: tensor([[-0.1017, 0.0561, 0.0568, ..., -0.0894, -0.1370, 0.0612], [-0.0842, -0.0503, -0.1062, ..., 0.1676, -0.0833, -0.0676], [-0.0259, -0.0015, 0.1966, ..., -0.1068, -0.1307, -0.1211], ..., [-0.1140, -0.0574, 0.0096, ..., -0.0397, 0.1082, -0.0703], [-0.0991, -0.0947, -0.0738, ..., -0.1346, -0.0045, -0.1632], [-0.1834, -0.0564, -0.1405, ..., -0.1630, -0.0271, 0.1147]], device='cuda:0'), grad: tensor([[ 4.6566e-09, 9.3132e-10, -1.2107e-07, ..., 9.3132e-10, 4.4703e-08, -3.6694e-07], [ 1.7229e-08, 2.3283e-09, 6.1467e-07, ..., -3.2596e-09, 5.1968e-07, 1.1642e-08], [ 8.8476e-09, 9.3132e-10, 3.7579e-07, ..., 6.0536e-09, 3.8277e-07, 8.3819e-09], ..., [ 8.3819e-09, 4.6566e-09, -1.7621e-06, ..., 1.3970e-09, -1.5479e-06, 3.7253e-09], [ 1.0710e-08, 2.7940e-09, 6.5193e-08, ..., 1.3039e-08, 2.7474e-08, 2.6543e-08], [ 1.1800e-06, 5.1223e-09, 3.1805e-07, ..., 1.3970e-09, 2.7753e-07, 1.0710e-08]], device='cuda:0') Epoch 236, bias, value: tensor([-0.0388, -0.0325, 0.0145, 0.0353, -0.0177, 0.0037, -0.0127, 0.0115, 0.0145, -0.0038], device='cuda:0'), grad: tensor([-6.6776e-07, 2.1588e-06, 1.4286e-06, 5.0152e-07, -2.5965e-06, 3.7486e-07, 6.1560e-07, -5.7369e-06, 2.0396e-07, 3.7365e-06], device='cuda:0') 100 0.0001 changing lr epoch 235, time 214.59, cls_loss 0.0009 cls_loss_mapping 0.0025 cls_loss_causal 0.5152 re_mapping 0.0042 re_causal 0.0133 /// teacc 99.07 lr 0.00010000 Epoch 237, weight, value: tensor([[-0.1017, 0.0562, 0.0587, ..., -0.0895, -0.1371, 0.0615], [-0.0843, -0.0510, -0.1064, ..., 0.1676, -0.0837, -0.0678], [-0.0266, -0.0019, 0.1970, ..., -0.1069, -0.1316, -0.1234], ..., [-0.1147, -0.0565, 0.0095, ..., -0.0399, 0.1085, -0.0708], [-0.0996, -0.0948, -0.0742, ..., -0.1347, -0.0046, -0.1634], [-0.1841, -0.0590, -0.1423, ..., -0.1637, -0.0276, 0.1144]], device='cuda:0'), grad: tensor([[ 5.9232e-07, 2.1886e-08, 6.6590e-08, ..., 8.1398e-07, 1.3178e-07, 8.8476e-09], [ 3.7719e-08, 2.3283e-09, 1.1828e-07, ..., -8.8941e-08, 1.1642e-07, 5.1223e-09], [ 1.7975e-07, 1.8626e-08, 1.9502e-06, ..., 3.1898e-07, 1.6000e-06, 8.8476e-09], ..., [ 2.3283e-09, 4.8662e-07, -9.2806e-07, ..., 4.4238e-08, 4.7125e-07, 1.3039e-08], [ 2.3749e-08, 5.8208e-08, 2.2724e-07, ..., 3.7719e-08, 3.3434e-07, 1.4435e-08], [ 1.2573e-08, 6.0536e-09, 6.8452e-08, ..., 1.2107e-08, 9.7323e-08, 2.0489e-08]], device='cuda:0') Epoch 237, bias, value: tensor([-0.0386, -0.0327, 0.0145, 0.0352, -0.0179, 0.0042, -0.0120, 0.0116, 0.0144, -0.0043], device='cuda:0'), grad: tensor([ 3.6284e-06, 2.2957e-07, 4.7050e-06, -7.1563e-06, 2.2305e-07, -4.7544e-07, -6.8806e-06, 4.1351e-06, 1.2172e-06, 3.4878e-07], device='cuda:0') 100 0.0001 changing lr epoch 236, time 214.23, cls_loss 0.0008 cls_loss_mapping 0.0026 cls_loss_causal 0.5221 re_mapping 0.0048 re_causal 0.0148 /// teacc 99.16 lr 0.00010000 Epoch 238, weight, value: tensor([[-0.1018, 0.0562, 0.0590, ..., -0.0895, -0.1401, 0.0615], [-0.0843, -0.0510, -0.1066, ..., 0.1671, -0.0840, -0.0680], [-0.0268, -0.0019, 0.1957, ..., -0.1071, -0.1325, -0.1242], ..., [-0.1149, -0.0567, 0.0101, ..., -0.0399, 0.1090, -0.0711], [-0.0995, -0.0948, -0.0721, ..., -0.1349, -0.0046, -0.1635], [-0.1836, -0.0592, -0.1435, ..., -0.1649, -0.0283, 0.1153]], device='cuda:0'), grad: tensor([[ 4.6566e-10, -4.6566e-10, -1.1856e-06, ..., -7.1386e-07, 4.1910e-09, -4.6045e-06], [ 9.3132e-10, 0.0000e+00, 1.1958e-06, ..., 6.4308e-07, 1.4482e-07, 3.2131e-06], [ 0.0000e+00, 0.0000e+00, -3.2131e-08, ..., 6.8918e-08, 2.7008e-08, 1.7229e-08], ..., [ 4.6566e-10, 0.0000e+00, -5.7835e-07, ..., -3.8696e-07, -3.5902e-07, 9.9558e-07], [ 4.6566e-10, 0.0000e+00, 1.0896e-07, ..., 9.3598e-08, 3.1199e-08, 1.3551e-07], [ 3.7253e-09, 0.0000e+00, 4.3167e-07, ..., 2.9011e-07, 1.4715e-07, 1.4948e-07]], device='cuda:0') Epoch 238, bias, value: tensor([-0.0386, -0.0332, 0.0124, 0.0351, -0.0186, 0.0047, -0.0110, 0.0119, 0.0157, -0.0042], device='cuda:0'), grad: tensor([-8.4266e-06, 1.0990e-05, 9.6299e-07, -3.8184e-08, 3.6508e-07, -8.4750e-08, -5.0291e-08, -1.0930e-05, 1.1008e-06, 6.1169e-06], device='cuda:0') 100 0.0001 changing lr epoch 237, time 214.57, cls_loss 0.0008 cls_loss_mapping 0.0020 cls_loss_causal 0.5058 re_mapping 0.0042 re_causal 0.0136 /// teacc 99.11 lr 0.00010000 Epoch 239, weight, value: tensor([[-0.1019, 0.0562, 0.0592, ..., -0.0896, -0.1409, 0.0616], [-0.0843, -0.0512, -0.1069, ..., 0.1673, -0.0848, -0.0683], [-0.0273, -0.0016, 0.1958, ..., -0.1075, -0.1330, -0.1243], ..., [-0.1150, -0.0569, 0.0108, ..., -0.0393, 0.1095, -0.0716], [-0.0998, -0.0948, -0.0723, ..., -0.1357, -0.0047, -0.1655], [-0.1837, -0.0592, -0.1441, ..., -0.1657, -0.0288, 0.1157]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -1.3271e-07, ..., 5.1223e-09, 2.7474e-08, -7.2643e-08], [ 1.2107e-08, 0.0000e+00, 5.6345e-08, ..., -3.1199e-07, 5.4017e-08, 2.1420e-08], [ 5.1223e-09, 0.0000e+00, -6.6590e-08, ..., 2.3283e-08, 2.4214e-08, 2.2817e-08], ..., [ 9.3132e-09, 0.0000e+00, -8.0047e-07, ..., 7.6368e-08, -7.9302e-07, 3.8184e-08], [ 4.1910e-09, 0.0000e+00, 6.5193e-08, ..., 9.8255e-08, 9.4064e-08, 1.3364e-07], [ 8.0559e-08, 0.0000e+00, 7.3109e-07, ..., 3.6322e-08, 8.7405e-07, 3.0454e-07]], device='cuda:0') Epoch 239, bias, value: tensor([-0.0386, -0.0334, 0.0121, 0.0351, -0.0188, 0.0058, -0.0114, 0.0125, 0.0155, -0.0042], device='cuda:0'), grad: tensor([-1.7090e-07, -4.8988e-07, 3.4459e-08, 7.1153e-07, 7.1712e-08, -3.0249e-06, 9.5926e-07, -1.6838e-06, 7.2876e-07, 2.8685e-06], device='cuda:0') 100 0.0001 changing lr epoch 238, time 214.52, cls_loss 0.0008 cls_loss_mapping 0.0022 cls_loss_causal 0.4823 re_mapping 0.0042 re_causal 0.0129 /// teacc 99.09 lr 0.00010000 Epoch 240, weight, value: tensor([[-0.1020, 0.0562, 0.0592, ..., -0.0896, -0.1426, 0.0615], [-0.0844, -0.0513, -0.1069, ..., 0.1676, -0.0851, -0.0683], [-0.0282, -0.0025, 0.1958, ..., -0.1077, -0.1334, -0.1245], ..., [-0.1152, -0.0576, 0.0111, ..., -0.0398, 0.1098, -0.0720], [-0.0990, -0.0948, -0.0723, ..., -0.1358, -0.0047, -0.1657], [-0.1834, -0.0593, -0.1443, ..., -0.1667, -0.0292, 0.1163]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.8217e-06, ..., 2.7940e-09, -4.6566e-08, -1.1399e-06], [ 2.7940e-09, 0.0000e+00, 2.7008e-08, ..., -6.9849e-08, 9.3132e-09, 1.2107e-08], [ 1.8626e-09, 0.0000e+00, 4.2189e-07, ..., 1.5832e-08, -2.1420e-08, 3.5204e-07], ..., [ 2.7940e-09, 0.0000e+00, 2.3656e-07, ..., 2.5146e-08, 2.4214e-08, 8.1956e-08], [ 2.7940e-09, 0.0000e+00, 1.1735e-07, ..., 2.1420e-08, 9.3132e-09, 6.7055e-08], [ 1.9558e-08, 0.0000e+00, 6.5099e-07, ..., 6.5193e-09, 1.9558e-08, 3.7905e-07]], device='cuda:0') Epoch 240, bias, value: tensor([-0.0387, -0.0333, 0.0118, 0.0351, -0.0192, 0.0059, -0.0113, 0.0126, 0.0157, -0.0038], device='cuda:0'), grad: tensor([-3.1237e-06, -6.9849e-08, 8.9873e-07, -1.2433e-06, 4.9360e-08, 1.4119e-06, 2.3283e-08, 5.0664e-07, 4.2468e-07, 1.1064e-06], device='cuda:0') 100 0.0001 changing lr epoch 239, time 214.81, cls_loss 0.0007 cls_loss_mapping 0.0020 cls_loss_causal 0.5118 re_mapping 0.0043 re_causal 0.0134 /// teacc 99.01 lr 0.00010000 Epoch 241, weight, value: tensor([[-0.1021, 0.0562, 0.0594, ..., -0.0896, -0.1429, 0.0616], [-0.0844, -0.0513, -0.1070, ..., 0.1678, -0.0853, -0.0684], [-0.0293, -0.0025, 0.1960, ..., -0.1078, -0.1336, -0.1246], ..., [-0.1157, -0.0576, 0.0110, ..., -0.0399, 0.1100, -0.0726], [-0.0975, -0.0948, -0.0724, ..., -0.1360, -0.0047, -0.1659], [-0.1843, -0.0593, -0.1445, ..., -0.1673, -0.0295, 0.1166]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, -6.0257e-07, ..., 2.5146e-08, 9.3132e-10, -2.1886e-07], [ 4.6566e-09, 0.0000e+00, 5.1223e-08, ..., -2.9802e-08, 2.6077e-08, 1.8626e-09], [ 2.7940e-09, 0.0000e+00, 2.3935e-07, ..., 2.8871e-08, 2.6077e-08, 5.6811e-08], ..., [ 5.5879e-09, 0.0000e+00, -1.4994e-07, ..., 1.4901e-08, -8.0094e-08, 1.8626e-09], [ 2.7940e-09, 0.0000e+00, 2.0582e-07, ..., 1.0245e-08, 9.3132e-09, 6.9849e-08], [ 8.1025e-08, 0.0000e+00, 9.4995e-08, ..., 9.3132e-10, 1.9558e-08, 3.1665e-08]], device='cuda:0') Epoch 241, bias, value: tensor([-0.0388, -0.0333, 0.0117, 0.0351, -0.0189, 0.0055, -0.0111, 0.0125, 0.0159, -0.0041], device='cuda:0'), grad: tensor([-9.7603e-07, 9.4064e-08, 4.7591e-07, 3.7067e-07, -8.4750e-08, 6.6124e-08, 9.8441e-07, -3.3528e-07, -9.0431e-07, 3.0827e-07], device='cuda:0') 100 0.0001 changing lr epoch 240, time 214.81, cls_loss 0.0008 cls_loss_mapping 0.0018 cls_loss_causal 0.4934 re_mapping 0.0043 re_causal 0.0132 /// teacc 99.05 lr 0.00010000 Epoch 242, weight, value: tensor([[-0.1021, 0.0562, 0.0606, ..., -0.0896, -0.1435, 0.0620], [-0.0844, -0.0513, -0.1071, ..., 0.1681, -0.0857, -0.0685], [-0.0295, -0.0025, 0.1961, ..., -0.1080, -0.1338, -0.1251], ..., [-0.1182, -0.0577, 0.0110, ..., -0.0402, 0.1102, -0.0736], [-0.0978, -0.0948, -0.0725, ..., -0.1361, -0.0048, -0.1660], [-0.1841, -0.0593, -0.1458, ..., -0.1679, -0.0297, 0.1168]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -9.0059e-07, ..., 0.0000e+00, 6.7987e-08, -7.5530e-07], [ 1.5832e-08, 0.0000e+00, 5.1223e-08, ..., -4.8429e-08, 7.9162e-08, 6.0536e-08], [ 5.5879e-09, 0.0000e+00, -7.9162e-07, ..., 8.3819e-09, 8.0094e-08, 8.2888e-08], ..., [ 1.1176e-08, 0.0000e+00, 6.2399e-08, ..., 2.6077e-08, -3.7160e-07, 9.2201e-08], [ 8.3819e-09, 0.0000e+00, 4.5262e-07, ..., 5.5879e-09, 1.7136e-07, 3.4552e-07], [ 6.0443e-07, 0.0000e+00, 3.6787e-07, ..., 3.7253e-09, 8.0839e-07, 1.5879e-06]], device='cuda:0') Epoch 242, bias, value: tensor([-0.0385, -0.0332, 0.0115, 0.0351, -0.0192, 0.0056, -0.0114, 0.0125, 0.0158, -0.0040], device='cuda:0'), grad: tensor([-2.4866e-07, 1.0282e-06, 6.5938e-07, -3.2298e-06, -7.3016e-07, -7.4357e-06, 3.5111e-06, -6.8173e-07, 1.0496e-06, 6.0983e-06], device='cuda:0') 100 0.0001 changing lr epoch 241, time 214.70, cls_loss 0.0009 cls_loss_mapping 0.0025 cls_loss_causal 0.5117 re_mapping 0.0043 re_causal 0.0135 /// teacc 98.85 lr 0.00010000 Epoch 243, weight, value: tensor([[-0.1021, 0.0562, 0.0612, ..., -0.0896, -0.1443, 0.0621], [-0.0845, -0.0514, -0.1072, ..., 0.1685, -0.0861, -0.0686], [-0.0296, -0.0025, 0.1958, ..., -0.1081, -0.1356, -0.1253], ..., [-0.1194, -0.0578, 0.0120, ..., -0.0405, 0.1110, -0.0738], [-0.0982, -0.0948, -0.0727, ..., -0.1363, -0.0048, -0.1661], [-0.1867, -0.0595, -0.1463, ..., -0.1688, -0.0304, 0.1169]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, -3.6415e-07, ..., -6.5193e-09, 9.3132e-09, -1.7323e-07], [ 1.2107e-08, 0.0000e+00, 9.1363e-07, ..., -8.6706e-07, 1.2480e-06, 1.5832e-08], [ 1.4901e-08, 0.0000e+00, 2.7381e-07, ..., 5.0291e-08, 3.2969e-07, 1.3970e-08], ..., [ 8.3819e-09, 0.0000e+00, -1.6410e-06, ..., 7.0315e-07, -2.2948e-06, 2.2352e-08], [-4.6566e-09, 0.0000e+00, 1.6298e-07, ..., 4.9360e-08, 2.0955e-07, 1.0245e-07], [ 2.4028e-07, 0.0000e+00, 1.1642e-07, ..., 1.8626e-08, 4.5635e-08, 5.9605e-08]], device='cuda:0') Epoch 243, bias, value: tensor([-0.0385, -0.0331, 0.0110, 0.0351, -0.0170, 0.0053, -0.0114, 0.0131, 0.0159, -0.0065], device='cuda:0'), grad: tensor([-2.2631e-07, 2.1271e-06, 1.9334e-06, -3.7868e-06, 1.0664e-06, -2.5053e-07, 3.3248e-07, -3.9451e-06, 1.8440e-06, 8.9128e-07], device='cuda:0') 100 0.0001 changing lr epoch 242, time 214.85, cls_loss 0.0008 cls_loss_mapping 0.0023 cls_loss_causal 0.5150 re_mapping 0.0044 re_causal 0.0135 /// teacc 99.18 lr 0.00010000 Epoch 244, weight, value: tensor([[-0.1021, 0.0562, 0.0615, ..., -0.0896, -0.1452, 0.0621], [-0.0844, -0.0514, -0.1075, ..., 0.1689, -0.0864, -0.0688], [-0.0298, -0.0024, 0.1962, ..., -0.1082, -0.1358, -0.1254], ..., [-0.1198, -0.0579, 0.0121, ..., -0.0411, 0.1113, -0.0740], [-0.0994, -0.0948, -0.0729, ..., -0.1365, -0.0049, -0.1680], [-0.1875, -0.0595, -0.1464, ..., -0.1697, -0.0307, 0.1184]], device='cuda:0'), grad: tensor([[ 1.7695e-08, 0.0000e+00, -2.9057e-07, ..., 5.7742e-08, 2.7940e-09, -1.5274e-07], [ 1.0617e-07, 0.0000e+00, 9.3132e-09, ..., -1.6335e-06, 9.3132e-09, 1.3039e-08], [ 4.0047e-08, 0.0000e+00, 8.3819e-09, ..., 1.4529e-07, 9.3132e-09, 1.3039e-08], ..., [ 2.0582e-07, 0.0000e+00, -1.0245e-08, ..., 7.6368e-07, -3.1665e-08, 1.8626e-08], [ 3.0734e-08, 0.0000e+00, 1.0245e-08, ..., 1.8533e-07, 3.5390e-08, 6.5193e-08], [ 1.7220e-06, 0.0000e+00, 2.9802e-08, ..., 5.9605e-08, 1.0245e-08, -4.1816e-07]], device='cuda:0') Epoch 244, bias, value: tensor([-0.0385, -0.0330, 0.0110, 0.0351, -0.0164, 0.0057, -0.0117, 0.0131, 0.0155, -0.0070], device='cuda:0'), grad: tensor([-3.4831e-07, -4.1202e-06, 5.1409e-07, 1.0664e-06, -2.3432e-06, -3.7160e-07, 3.2224e-07, 2.4289e-06, 6.2864e-07, 2.2110e-06], device='cuda:0') 100 0.0001 changing lr epoch 243, time 214.36, cls_loss 0.0007 cls_loss_mapping 0.0015 cls_loss_causal 0.5120 re_mapping 0.0042 re_causal 0.0133 /// teacc 99.15 lr 0.00010000 Epoch 245, weight, value: tensor([[-0.1021, 0.0562, 0.0623, ..., -0.0896, -0.1462, 0.0622], [-0.0845, -0.0514, -0.1077, ..., 0.1693, -0.0868, -0.0690], [-0.0299, -0.0024, 0.1966, ..., -0.1082, -0.1357, -0.1257], ..., [-0.1203, -0.0579, 0.0119, ..., -0.0418, 0.1116, -0.0745], [-0.0997, -0.0948, -0.0730, ..., -0.1367, -0.0048, -0.1682], [-0.1875, -0.0595, -0.1467, ..., -0.1705, -0.0312, 0.1188]], device='cuda:0'), grad: tensor([[ 1.7695e-08, 0.0000e+00, -2.0768e-07, ..., 9.3132e-10, 5.5879e-09, -1.7136e-07], [ 9.4995e-08, 0.0000e+00, 4.4703e-08, ..., -1.8626e-08, 1.9651e-07, 5.9605e-08], [ 5.5879e-08, 0.0000e+00, -1.1269e-07, ..., 5.5879e-09, 1.3970e-08, 2.3283e-08], ..., [ 4.3772e-08, 0.0000e+00, -1.7509e-07, ..., 5.5879e-09, -3.5483e-07, 1.3039e-08], [ 5.9605e-08, 0.0000e+00, 4.0978e-08, ..., 1.8626e-08, 9.7789e-08, 9.4064e-08], [ 3.8221e-06, 0.0000e+00, 2.9244e-07, ..., 2.7940e-09, 3.3062e-07, 9.2387e-07]], device='cuda:0') Epoch 245, bias, value: tensor([-0.0384, -0.0329, 0.0111, 0.0350, -0.0164, 0.0051, -0.0112, 0.0131, 0.0156, -0.0070], device='cuda:0'), grad: tensor([-3.6601e-07, 9.5367e-07, 4.2841e-08, 5.2564e-06, -9.6187e-06, -1.3202e-05, 5.3160e-06, -7.4692e-07, 5.8487e-07, 1.1802e-05], device='cuda:0') 100 0.0001 changing lr epoch 244, time 214.12, cls_loss 0.0010 cls_loss_mapping 0.0047 cls_loss_causal 0.4836 re_mapping 0.0043 re_causal 0.0131 /// teacc 99.07 lr 0.00010000 Epoch 246, weight, value: tensor([[-0.1022, 0.0562, 0.0627, ..., -0.0896, -0.1503, 0.0623], [-0.0849, -0.0514, -0.1083, ..., 0.1693, -0.0873, -0.0692], [-0.0275, -0.0023, 0.1974, ..., -0.1080, -0.1358, -0.1259], ..., [-0.1207, -0.0579, 0.0140, ..., -0.0420, 0.1147, -0.0775], [-0.1003, -0.0949, -0.0733, ..., -0.1369, -0.0047, -0.1692], [-0.1875, -0.0596, -0.1498, ..., -0.1716, -0.0342, 0.1209]], device='cuda:0'), grad: tensor([[ 1.0245e-08, -9.3132e-10, -2.8871e-08, ..., 1.5832e-08, 2.7940e-09, -5.4017e-07], [ 2.0489e-08, 0.0000e+00, 9.3132e-10, ..., -2.6077e-07, 3.7253e-09, 2.7008e-08], [ 7.0781e-08, 0.0000e+00, 3.7253e-09, ..., 1.8626e-08, 9.3132e-09, 2.0489e-08], ..., [ 3.7253e-08, 0.0000e+00, -5.5879e-09, ..., 3.8184e-08, -1.0245e-08, 1.3411e-07], [-3.3528e-08, 0.0000e+00, 3.7253e-09, ..., 8.4750e-08, -1.1921e-07, 4.1910e-08], [ 9.2201e-08, 0.0000e+00, 6.5193e-09, ..., 1.3970e-08, 7.4506e-09, -1.4715e-07]], device='cuda:0') Epoch 246, bias, value: tensor([-0.0384, -0.0333, 0.0117, 0.0348, -0.0167, 0.0047, -0.0110, 0.0155, 0.0154, -0.0078], device='cuda:0'), grad: tensor([-2.0768e-06, -4.4517e-07, 2.5705e-07, 1.4994e-06, 1.1362e-07, 3.7998e-07, 9.9093e-07, 5.9791e-07, -1.3616e-06, 4.0047e-08], device='cuda:0') 100 0.0001 changing lr epoch 245, time 214.12, cls_loss 0.0008 cls_loss_mapping 0.0024 cls_loss_causal 0.5051 re_mapping 0.0044 re_causal 0.0131 /// teacc 99.06 lr 0.00010000 Epoch 247, weight, value: tensor([[-0.1022, 0.0562, 0.0632, ..., -0.0897, -0.1508, 0.0624], [-0.0850, -0.0515, -0.1088, ..., 0.1692, -0.0900, -0.0693], [-0.0276, -0.0020, 0.1977, ..., -0.1080, -0.1365, -0.1265], ..., [-0.1215, -0.0580, 0.0146, ..., -0.0412, 0.1156, -0.0785], [-0.1006, -0.0949, -0.0735, ..., -0.1371, -0.0047, -0.1695], [-0.1876, -0.0596, -0.1499, ..., -0.1720, -0.0344, 0.1216]], device='cuda:0'), grad: tensor([[ 2.0489e-08, 3.7253e-09, 7.4506e-08, ..., 6.1467e-08, 3.7253e-09, 0.0000e+00], [ 1.1362e-07, 9.3132e-09, 1.7881e-07, ..., -1.7378e-06, 3.1665e-08, 0.0000e+00], [ 4.6566e-08, -1.1176e-07, -1.9297e-06, ..., 1.9651e-07, 5.2154e-08, 0.0000e+00], ..., [ 9.2201e-08, 4.8429e-08, 7.1432e-07, ..., 2.1700e-07, -1.1921e-07, 0.0000e+00], [ 2.7008e-08, 2.3283e-08, 4.1723e-07, ..., 8.1863e-07, -1.8440e-07, 0.0000e+00], [ 2.9262e-06, 9.3132e-10, 2.7008e-08, ..., 3.6322e-08, 5.1223e-08, 0.0000e+00]], device='cuda:0') Epoch 247, bias, value: tensor([-0.0384, -0.0342, 0.0117, 0.0348, -0.0166, 0.0048, -0.0112, 0.0162, 0.0153, -0.0078], device='cuda:0'), grad: tensor([ 3.1386e-07, -3.3900e-06, -5.2527e-07, 2.7698e-06, -7.3761e-06, 2.6077e-08, 1.3104e-06, 1.6307e-06, -2.0899e-06, 7.3239e-06], device='cuda:0') 100 0.0001 changing lr epoch 246, time 214.43, cls_loss 0.0007 cls_loss_mapping 0.0019 cls_loss_causal 0.4996 re_mapping 0.0044 re_causal 0.0132 /// teacc 99.11 lr 0.00010000 Epoch 248, weight, value: tensor([[-0.1022, 0.0562, 0.0634, ..., -0.0897, -0.1519, 0.0625], [-0.0849, -0.0518, -0.1090, ..., 0.1696, -0.0904, -0.0694], [-0.0277, -0.0022, 0.1981, ..., -0.1080, -0.1369, -0.1269], ..., [-0.1216, -0.0568, 0.0145, ..., -0.0415, 0.1158, -0.0788], [-0.1008, -0.0949, -0.0735, ..., -0.1372, -0.0045, -0.1697], [-0.1876, -0.0596, -0.1499, ..., -0.1727, -0.0345, 0.1222]], device='cuda:0'), grad: tensor([[ 2.3283e-08, 0.0000e+00, -9.6709e-06, ..., 1.9558e-08, 1.2107e-08, -5.3234e-06], [ 2.6077e-08, 0.0000e+00, 4.3120e-07, ..., -5.8673e-08, 1.9278e-07, 1.2107e-08], [ 4.1910e-08, 0.0000e+00, 3.2019e-06, ..., 4.2841e-08, 1.7127e-06, 2.8312e-07], ..., [ 2.0955e-07, 0.0000e+00, -3.8557e-06, ..., 5.4948e-08, -2.3469e-06, 1.2107e-08], [-2.0489e-08, 0.0000e+00, 7.7114e-07, ..., 3.6322e-08, 2.9523e-07, 3.2969e-07], [ 3.4086e-07, 0.0000e+00, 2.9616e-07, ..., 2.9802e-08, 5.2154e-08, 1.4063e-07]], device='cuda:0') Epoch 248, bias, value: tensor([-0.0384, -0.0341, 0.0118, 0.0348, -0.0167, 0.0046, -0.0113, 0.0162, 0.0155, -0.0077], device='cuda:0'), grad: tensor([-2.2605e-05, 1.2415e-06, 7.6257e-06, 2.0966e-05, -7.0594e-07, -2.3749e-07, -1.1921e-07, -9.0674e-06, 1.5954e-06, 1.2731e-06], device='cuda:0') 100 0.0001 changing lr epoch 247, time 214.35, cls_loss 0.0007 cls_loss_mapping 0.0016 cls_loss_causal 0.5066 re_mapping 0.0042 re_causal 0.0133 /// teacc 98.99 lr 0.00010000 Epoch 249, weight, value: tensor([[-0.1022, 0.0562, 0.0637, ..., -0.0897, -0.1531, 0.0626], [-0.0849, -0.0518, -0.1092, ..., 0.1701, -0.0905, -0.0697], [-0.0278, -0.0023, 0.1987, ..., -0.1082, -0.1371, -0.1271], ..., [-0.1220, -0.0573, 0.0143, ..., -0.0421, 0.1158, -0.0793], [-0.1013, -0.0949, -0.0737, ..., -0.1376, -0.0044, -0.1699], [-0.1876, -0.0596, -0.1500, ..., -0.1734, -0.0345, 0.1230]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 1.0245e-08, ..., 4.2096e-07, 9.3132e-09, 3.5390e-08], [ 4.6566e-09, 0.0000e+00, 8.3819e-09, ..., -4.2059e-06, 2.6077e-08, 1.8626e-08], [ 4.6566e-09, 0.0000e+00, -2.0303e-07, ..., 3.7439e-07, 1.9558e-08, 1.4901e-08], ..., [ 3.3528e-08, 0.0000e+00, 3.7253e-09, ..., 1.8384e-06, -8.9407e-08, 6.4261e-08], [ 3.7253e-09, 0.0000e+00, 1.4622e-07, ..., 2.5518e-07, 6.1467e-08, 5.3085e-08], [ 1.3970e-08, 0.0000e+00, 4.6566e-09, ..., 2.5891e-07, 5.0291e-08, -1.0338e-07]], device='cuda:0') Epoch 249, bias, value: tensor([-0.0384, -0.0339, 0.0119, 0.0348, -0.0168, 0.0044, -0.0114, 0.0159, 0.0155, -0.0076], device='cuda:0'), grad: tensor([ 1.0682e-06, -8.9481e-06, 6.8452e-07, 1.5693e-06, 3.2783e-07, -6.9849e-07, 3.4831e-07, 4.4927e-06, 7.8417e-07, 3.5111e-07], device='cuda:0') 100 0.0001 changing lr epoch 248, time 214.39, cls_loss 0.0008 cls_loss_mapping 0.0021 cls_loss_causal 0.5101 re_mapping 0.0043 re_causal 0.0130 /// teacc 99.08 lr 0.00010000 Epoch 250, weight, value: tensor([[-0.1023, 0.0562, 0.0640, ..., -0.0897, -0.1541, 0.0626], [-0.0850, -0.0519, -0.1093, ..., 0.1706, -0.0906, -0.0700], [-0.0279, -0.0021, 0.1991, ..., -0.1082, -0.1380, -0.1272], ..., [-0.1224, -0.0575, 0.0143, ..., -0.0428, 0.1160, -0.0803], [-0.1017, -0.0949, -0.0740, ..., -0.1379, -0.0045, -0.1707], [-0.1877, -0.0596, -0.1501, ..., -0.1742, -0.0345, 0.1239]], device='cuda:0'), grad: tensor([[ 8.3819e-09, 0.0000e+00, 2.5146e-08, ..., 9.3132e-09, 1.5832e-08, -1.3039e-08], [ 4.8429e-08, 0.0000e+00, 2.6170e-07, ..., -5.5879e-09, 3.8184e-08, 2.7940e-09], [ 4.7497e-08, 0.0000e+00, -2.7530e-06, ..., 2.0489e-08, 2.2352e-08, 1.8626e-09], ..., [ 5.2154e-08, 0.0000e+00, 1.7323e-07, ..., 1.3970e-08, -1.6764e-07, 7.4506e-09], [ 8.6613e-08, 0.0000e+00, 2.1253e-06, ..., 5.2154e-08, 1.5087e-07, 7.4506e-09], [ 4.1258e-07, 0.0000e+00, 2.1420e-08, ..., 2.7940e-09, 9.4064e-08, 3.2596e-08]], device='cuda:0') Epoch 250, bias, value: tensor([-0.0384, -0.0337, 0.0120, 0.0349, -0.0169, 0.0046, -0.0118, 0.0157, 0.0152, -0.0075], device='cuda:0'), grad: tensor([ 1.0990e-07, 6.0443e-07, -4.7907e-06, 4.1630e-07, -9.2667e-07, -1.1921e-07, -3.9861e-07, 3.2037e-07, 3.9414e-06, 8.2795e-07], device='cuda:0') 100 0.0001 changing lr epoch 249, time 214.36, cls_loss 0.0008 cls_loss_mapping 0.0018 cls_loss_causal 0.4950 re_mapping 0.0041 re_causal 0.0126 /// teacc 99.10 lr 0.00010000 Epoch 251, weight, value: tensor([[-0.1023, 0.0562, 0.0646, ..., -0.0897, -0.1551, 0.0629], [-0.0853, -0.0520, -0.1100, ..., 0.1710, -0.0907, -0.0700], [-0.0257, -0.0021, 0.2001, ..., -0.1082, -0.1381, -0.1275], ..., [-0.1234, -0.0576, 0.0143, ..., -0.0434, 0.1162, -0.0811], [-0.1028, -0.0949, -0.0744, ..., -0.1380, -0.0046, -0.1709], [-0.1877, -0.0596, -0.1502, ..., -0.1749, -0.0345, 0.1241]], device='cuda:0'), grad: tensor([[ 2.0489e-08, 0.0000e+00, -3.6638e-06, ..., 9.3132e-09, 1.3039e-08, -2.0117e-06], [ 8.3819e-09, 0.0000e+00, 3.2689e-07, ..., -1.5274e-07, 6.0536e-08, 3.0734e-08], [ 4.6566e-09, 0.0000e+00, 8.9128e-07, ..., 3.4459e-08, 1.8626e-08, 8.8103e-07], ..., [ 4.6566e-09, 0.0000e+00, 8.7544e-08, ..., 2.7008e-08, -1.1921e-07, 2.2352e-08], [ 9.3132e-09, 0.0000e+00, 4.5728e-07, ..., 5.2154e-08, 2.6729e-07, 2.0023e-07], [ 5.6811e-08, 0.0000e+00, 4.6287e-07, ..., 5.5879e-09, 3.1106e-07, 6.7707e-07]], device='cuda:0') Epoch 251, bias, value: tensor([-0.0383, -0.0340, 0.0127, 0.0349, -0.0168, 0.0045, -0.0120, 0.0156, 0.0151, -0.0075], device='cuda:0'), grad: tensor([-6.5789e-06, 4.2934e-07, 1.9185e-06, 1.4380e-06, 1.4901e-08, -2.6263e-06, 1.2936e-06, 3.2596e-08, 2.0154e-06, 2.0452e-06], device='cuda:0') 100 0.0001 changing lr epoch 250, time 214.51, cls_loss 0.0009 cls_loss_mapping 0.0019 cls_loss_causal 0.4754 re_mapping 0.0039 re_causal 0.0120 /// teacc 99.15 lr 0.00010000 Epoch 252, weight, value: tensor([[-0.1023, 0.0562, 0.0646, ..., -0.0898, -0.1558, 0.0625], [-0.0854, -0.0520, -0.1102, ..., 0.1713, -0.0912, -0.0701], [-0.0255, -0.0020, 0.1999, ..., -0.1084, -0.1397, -0.1277], ..., [-0.1238, -0.0576, 0.0153, ..., -0.0436, 0.1168, -0.0816], [-0.1027, -0.0949, -0.0746, ..., -0.1381, -0.0046, -0.1710], [-0.1877, -0.0596, -0.1502, ..., -0.1753, -0.0347, 0.1257]], device='cuda:0'), grad: tensor([[ 6.0257e-07, 0.0000e+00, -1.3784e-07, ..., 6.5193e-09, 2.7008e-08, -5.9605e-08], [ 1.5274e-07, 9.3132e-10, 1.6764e-08, ..., -3.0175e-07, 3.8184e-08, 1.7695e-08], [ 8.9128e-07, 0.0000e+00, -3.5390e-08, ..., 3.7253e-08, 3.0734e-08, 3.9116e-08], ..., [ 8.0094e-08, 9.3132e-10, 0.0000e+00, ..., 9.1270e-08, -3.6322e-08, 1.6019e-07], [-2.7210e-05, 1.4901e-08, 2.0489e-08, ..., 8.8476e-08, 1.4529e-07, -7.8045e-07], [ 1.1008e-06, 0.0000e+00, 3.4459e-08, ..., 1.1176e-08, 6.0536e-08, -4.9639e-07]], device='cuda:0') Epoch 252, bias, value: tensor([-0.0384, -0.0341, 0.0122, 0.0349, -0.0170, 0.0046, -0.0119, 0.0163, 0.0151, -0.0074], device='cuda:0'), grad: tensor([ 2.0154e-06, -5.4203e-07, 3.4459e-06, 1.0771e-04, 1.9744e-06, -2.2650e-05, 5.2992e-07, 1.4016e-06, -9.5725e-05, 1.7975e-06], device='cuda:0') 100 0.0001 changing lr epoch 251, time 214.14, cls_loss 0.0008 cls_loss_mapping 0.0024 cls_loss_causal 0.5012 re_mapping 0.0040 re_causal 0.0127 /// teacc 99.10 lr 0.00010000 Epoch 253, weight, value: tensor([[-0.1024, 0.0562, 0.0655, ..., -0.0897, -0.1573, 0.0626], [-0.0855, -0.0520, -0.1105, ..., 0.1716, -0.0914, -0.0704], [-0.0257, -0.0019, 0.2001, ..., -0.1086, -0.1400, -0.1280], ..., [-0.1245, -0.0576, 0.0154, ..., -0.0435, 0.1173, -0.0827], [-0.1016, -0.0949, -0.0747, ..., -0.1384, -0.0047, -0.1713], [-0.1877, -0.0597, -0.1503, ..., -0.1760, -0.0347, 0.1280]], device='cuda:0'), grad: tensor([[ 2.2352e-08, -9.3132e-10, -1.1176e-08, ..., 8.3819e-08, 9.3132e-10, -6.5193e-09], [ 1.8626e-09, 0.0000e+00, 7.1712e-08, ..., 2.5146e-08, 3.0734e-08, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, -1.3411e-07, ..., 2.1420e-08, 5.5879e-09, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, 2.3283e-08, ..., 2.2352e-08, -7.4506e-08, 1.6764e-08], [ 1.6764e-08, 0.0000e+00, 6.5193e-09, ..., 1.2107e-07, 3.7253e-09, 6.5193e-09], [ 9.3132e-10, 0.0000e+00, 1.5832e-08, ..., 8.3819e-09, 2.1420e-08, -4.8429e-08]], device='cuda:0') Epoch 253, bias, value: tensor([-0.0383, -0.0343, 0.0119, 0.0348, -0.0177, 0.0046, -0.0119, 0.0169, 0.0151, -0.0068], device='cuda:0'), grad: tensor([ 5.1036e-07, 4.3772e-07, -8.1956e-08, -2.4475e-06, 1.2945e-07, 8.3819e-07, -2.7753e-07, 7.8231e-08, 7.6927e-07, 3.8184e-08], device='cuda:0') 100 0.0001 changing lr epoch 252, time 214.35, cls_loss 0.0008 cls_loss_mapping 0.0023 cls_loss_causal 0.4701 re_mapping 0.0041 re_causal 0.0122 /// teacc 99.14 lr 0.00010000 Epoch 254, weight, value: tensor([[-0.1024, 0.0562, 0.0663, ..., -0.0897, -0.1578, 0.0629], [-0.0855, -0.0521, -0.1106, ..., 0.1718, -0.0916, -0.0705], [-0.0259, -0.0018, 0.2002, ..., -0.1087, -0.1403, -0.1282], ..., [-0.1244, -0.0576, 0.0155, ..., -0.0437, 0.1170, -0.0856], [-0.1022, -0.0949, -0.0749, ..., -0.1385, -0.0048, -0.1716], [-0.1877, -0.0597, -0.1505, ..., -0.1766, -0.0341, 0.1299]], device='cuda:0'), grad: tensor([[ 5.0291e-08, 0.0000e+00, 2.4214e-08, ..., 8.9407e-08, 8.3819e-08, 1.0245e-07], [ 8.9407e-08, 0.0000e+00, 4.8243e-07, ..., -5.8115e-07, 4.1723e-07, 4.0978e-08], [ 1.0803e-07, 0.0000e+00, 1.4566e-06, ..., 1.1362e-07, 1.0785e-06, 9.1270e-08], ..., [ 5.7742e-08, 0.0000e+00, -4.1611e-06, ..., 1.6764e-07, -4.3772e-06, 9.3132e-09], [ 1.2293e-07, 0.0000e+00, 5.6438e-07, ..., 3.3528e-07, 4.3213e-07, 2.0862e-07], [ 5.2899e-07, 0.0000e+00, 1.0189e-06, ..., 5.2154e-08, 1.5795e-06, 2.0303e-07]], device='cuda:0') Epoch 254, bias, value: tensor([-0.0382, -0.0342, 0.0118, 0.0349, -0.0178, 0.0043, -0.0118, 0.0159, 0.0152, -0.0064], device='cuda:0'), grad: tensor([ 1.0896e-06, -1.6019e-07, 4.2990e-06, 1.0114e-06, -8.4937e-07, 1.8775e-05, -2.1979e-05, -1.1154e-05, 3.3677e-06, 5.5581e-06], device='cuda:0') 100 0.0001 changing lr epoch 253, time 214.27, cls_loss 0.0007 cls_loss_mapping 0.0017 cls_loss_causal 0.4933 re_mapping 0.0042 re_causal 0.0130 /// teacc 99.16 lr 0.00010000 Epoch 255, weight, value: tensor([[-0.1025, 0.0562, 0.0670, ..., -0.0897, -0.1582, 0.0630], [-0.0856, -0.0551, -0.1108, ..., 0.1720, -0.0919, -0.0707], [-0.0263, -0.0011, 0.2009, ..., -0.1090, -0.1407, -0.1284], ..., [-0.1259, -0.0580, 0.0153, ..., -0.0435, 0.1175, -0.0863], [-0.1029, -0.0951, -0.0747, ..., -0.1389, -0.0048, -0.1717], [-0.1878, -0.0598, -0.1509, ..., -0.1775, -0.0343, 0.1307]], device='cuda:0'), grad: tensor([[ 1.8626e-09, -2.4457e-06, -1.5721e-05, ..., 5.5879e-09, -1.1586e-06, -6.9067e-06], [ 9.3132e-09, 3.7253e-09, 1.5460e-07, ..., -1.6764e-07, 7.4506e-09, 9.3132e-09], [ 5.5879e-09, 9.8720e-08, 3.5428e-06, ..., 3.3528e-08, 9.6858e-08, 2.7567e-07], ..., [ 1.3039e-08, 2.6077e-08, 1.6764e-08, ..., 2.9802e-08, -1.0990e-07, 8.0094e-08], [ 1.1176e-08, 1.6578e-07, 1.3281e-06, ..., 1.1362e-07, 8.0094e-08, 5.0105e-07], [ 3.1665e-08, 1.6876e-06, 7.6517e-06, ..., 9.3132e-09, 8.3074e-07, 4.7162e-06]], device='cuda:0') Epoch 255, bias, value: tensor([-0.0382, -0.0344, 0.0117, 0.0349, -0.0179, 0.0042, -0.0114, 0.0160, 0.0152, -0.0063], device='cuda:0'), grad: tensor([-3.2544e-05, -2.4959e-07, 8.0764e-06, 3.7197e-06, -3.1665e-08, 3.5949e-07, 2.0675e-06, 1.2852e-07, 3.2689e-06, 1.5154e-05], device='cuda:0') 100 0.0001 changing lr epoch 254, time 214.48, cls_loss 0.0010 cls_loss_mapping 0.0037 cls_loss_causal 0.4969 re_mapping 0.0041 re_causal 0.0127 /// teacc 99.13 lr 0.00010000 Epoch 256, weight, value: tensor([[-0.1026, 0.0562, 0.0672, ..., -0.0898, -0.1590, 0.0631], [-0.0857, -0.0552, -0.1108, ..., 0.1712, -0.0921, -0.0756], [-0.0268, -0.0010, 0.2013, ..., -0.1092, -0.1411, -0.1289], ..., [-0.1299, -0.0582, 0.0154, ..., -0.0425, 0.1176, -0.0867], [-0.1035, -0.0951, -0.0751, ..., -0.1380, -0.0048, -0.1674], [-0.1878, -0.0602, -0.1510, ..., -0.1812, -0.0344, 0.1310]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -6.3889e-07, ..., 1.8626e-09, 2.7940e-08, -2.1048e-07], [ 2.7940e-08, 0.0000e+00, 5.2154e-08, ..., -7.8231e-08, 1.7136e-07, 5.0291e-08], [ 1.6764e-08, 0.0000e+00, 3.6508e-07, ..., 2.6077e-08, 2.2352e-08, 1.8440e-07], ..., [ 6.1430e-06, 0.0000e+00, -1.1176e-07, ..., -3.9116e-08, 1.0240e-04, 1.0937e-04], [ 2.7940e-08, 0.0000e+00, 8.5682e-08, ..., 4.0978e-08, 9.6858e-08, 1.0245e-07], [ 3.5390e-08, 0.0000e+00, 5.0291e-08, ..., 2.2352e-08, -1.0091e-04, -1.0985e-04]], device='cuda:0') Epoch 256, bias, value: tensor([-0.0383, -0.0358, 0.0115, 0.0336, -0.0177, 0.0059, -0.0118, 0.0161, 0.0168, -0.0063], device='cuda:0'), grad: tensor([-6.9663e-07, 4.4703e-07, 7.4320e-07, 7.0408e-07, -1.1563e-05, 1.7136e-07, 2.5891e-07, 5.4693e-04, 8.8103e-07, -5.3740e-04], device='cuda:0') 100 0.0001 changing lr epoch 255, time 214.69, cls_loss 0.0007 cls_loss_mapping 0.0018 cls_loss_causal 0.4737 re_mapping 0.0040 re_causal 0.0123 /// teacc 99.11 lr 0.00010000 Epoch 257, weight, value: tensor([[-0.1026, 0.0562, 0.0671, ..., -0.0898, -0.1610, 0.0630], [-0.0857, -0.0552, -0.1111, ..., 0.1715, -0.0923, -0.0757], [-0.0270, -0.0009, 0.2019, ..., -0.1093, -0.1414, -0.1290], ..., [-0.1320, -0.0582, 0.0154, ..., -0.0429, 0.1175, -0.0878], [-0.1042, -0.0951, -0.0754, ..., -0.1382, -0.0050, -0.1675], [-0.1879, -0.0602, -0.1511, ..., -0.1825, -0.0340, 0.1320]], device='cuda:0'), grad: tensor([[ 4.4703e-08, 0.0000e+00, 1.1921e-07, ..., 6.8918e-08, 6.5193e-08, 0.0000e+00], [ 4.8429e-08, 0.0000e+00, 3.9116e-08, ..., -9.7975e-07, 9.3132e-09, 9.3132e-09], [ 3.9116e-08, 0.0000e+00, -2.0303e-07, ..., 1.5460e-07, 3.8370e-07, 7.4506e-09], ..., [ 1.3784e-07, 0.0000e+00, -7.3761e-07, ..., 1.4342e-07, -5.5507e-07, 1.3039e-08], [ 5.9605e-08, 0.0000e+00, 3.7625e-07, ..., 4.6194e-07, -2.0489e-08, 3.9302e-07], [ 3.7253e-07, 0.0000e+00, 1.0803e-07, ..., 2.0489e-08, 7.6368e-08, -7.6927e-07]], device='cuda:0') Epoch 257, bias, value: tensor([-0.0383, -0.0357, 0.0117, 0.0327, -0.0177, 0.0074, -0.0116, 0.0155, 0.0166, -0.0060], device='cuda:0'), grad: tensor([ 7.4506e-07, -2.1718e-06, 1.0598e-06, -4.9919e-07, -7.4878e-07, 8.4750e-07, 8.3074e-07, -9.5181e-07, 1.4883e-06, -6.0536e-07], device='cuda:0') 100 0.0001 changing lr epoch 256, time 214.28, cls_loss 0.0009 cls_loss_mapping 0.0022 cls_loss_causal 0.5049 re_mapping 0.0042 re_causal 0.0125 /// teacc 99.16 lr 0.00010000 Epoch 258, weight, value: tensor([[-0.1027, 0.0563, 0.0674, ..., -0.0899, -0.1625, 0.0630], [-0.0859, -0.0557, -0.1111, ..., 0.1723, -0.0925, -0.0757], [-0.0276, -0.0010, 0.2022, ..., -0.1096, -0.1418, -0.1293], ..., [-0.1339, -0.0583, 0.0154, ..., -0.0440, 0.1177, -0.0880], [-0.1051, -0.0951, -0.0756, ..., -0.1385, -0.0052, -0.1676], [-0.1881, -0.0602, -0.1513, ..., -0.1853, -0.0343, 0.1323]], device='cuda:0'), grad: tensor([[ 1.3039e-08, 0.0000e+00, 6.1467e-08, ..., 1.8626e-09, 4.2841e-08, 8.0094e-08], [ 5.5879e-09, 0.0000e+00, 4.0978e-08, ..., -2.4028e-07, 3.7253e-09, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, -3.7998e-07, ..., 9.3132e-09, 1.8626e-09, 1.8626e-09], ..., [ 1.8626e-09, 0.0000e+00, 1.5460e-07, ..., 1.6578e-07, 3.7253e-09, 3.7253e-09], [ 5.5879e-09, 0.0000e+00, 2.6077e-08, ..., 3.3528e-08, 1.3970e-07, 1.5274e-07], [-1.8626e-08, 0.0000e+00, 1.4901e-08, ..., 1.8626e-09, 3.7253e-08, -1.3039e-08]], device='cuda:0') Epoch 258, bias, value: tensor([-0.0384, -0.0353, 0.0113, 0.0332, -0.0175, 0.0065, -0.0104, 0.0151, 0.0164, -0.0062], device='cuda:0'), grad: tensor([ 3.0734e-07, -4.1164e-07, -3.3714e-07, -2.9989e-07, 1.3970e-07, -8.1025e-07, 3.5018e-07, 4.9174e-07, 5.6997e-07, 1.8626e-09], device='cuda:0') 100 0.0001 changing lr epoch 257, time 214.46, cls_loss 0.0009 cls_loss_mapping 0.0025 cls_loss_causal 0.5018 re_mapping 0.0042 re_causal 0.0122 /// teacc 99.19 lr 0.00010000 Epoch 259, weight, value: tensor([[-0.1028, 0.0563, 0.0672, ..., -0.0899, -0.1643, 0.0625], [-0.0859, -0.0557, -0.1107, ..., 0.1740, -0.0926, -0.0757], [-0.0279, -0.0010, 0.2025, ..., -0.1114, -0.1422, -0.1299], ..., [-0.1345, -0.0583, 0.0126, ..., -0.0453, 0.1166, -0.0882], [-0.1058, -0.0951, -0.0731, ..., -0.1387, -0.0031, -0.1677], [-0.1881, -0.0602, -0.1512, ..., -0.1878, -0.0344, 0.1334]], device='cuda:0'), grad: tensor([[ 7.4506e-09, 0.0000e+00, -7.4506e-09, ..., 5.5879e-09, 3.7253e-09, -7.4506e-09], [ 2.0489e-08, 0.0000e+00, 6.7055e-08, ..., -2.1234e-07, 8.9407e-08, 5.5879e-09], [ 1.1176e-08, 0.0000e+00, -3.9302e-07, ..., 6.7055e-08, -7.2643e-08, 1.8626e-09], ..., [ 2.5146e-07, 0.0000e+00, 9.4995e-08, ..., 9.3132e-08, 3.9116e-08, 1.1735e-07], [ 2.7940e-08, 0.0000e+00, 2.4214e-08, ..., 1.2666e-07, 8.7544e-08, 9.3132e-09], [ 4.8652e-06, 0.0000e+00, 2.2352e-08, ..., 9.3132e-09, 2.0526e-06, -2.9244e-07]], device='cuda:0') Epoch 259, bias, value: tensor([-0.0387, -0.0343, 0.0101, 0.0333, -0.0176, 0.0063, -0.0103, 0.0132, 0.0176, -0.0060], device='cuda:0'), grad: tensor([ 3.7253e-08, -2.3097e-07, -2.0675e-07, 1.8440e-07, -1.6600e-05, -8.9966e-07, 3.8370e-07, 1.3225e-06, 7.3761e-07, 1.5303e-05], device='cuda:0') 100 0.0001 changing lr epoch 258, time 214.62, cls_loss 0.0009 cls_loss_mapping 0.0029 cls_loss_causal 0.5092 re_mapping 0.0042 re_causal 0.0128 /// teacc 99.15 lr 0.00010000 Epoch 260, weight, value: tensor([[-0.1028, 0.0563, 0.0673, ..., -0.0900, -0.1673, 0.0623], [-0.0859, -0.0557, -0.1114, ..., 0.1750, -0.0936, -0.0756], [-0.0280, -0.0009, 0.2034, ..., -0.1118, -0.1426, -0.1302], ..., [-0.1350, -0.0583, 0.0131, ..., -0.0465, 0.1188, -0.0893], [-0.1061, -0.0951, -0.0732, ..., -0.1389, -0.0033, -0.1680], [-0.1882, -0.0602, -0.1525, ..., -0.1913, -0.0368, 0.1342]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 3.2224e-07, 1.1176e-08, 4.1723e-07], [ 9.3132e-09, 0.0000e+00, 1.8626e-09, ..., -1.3411e-07, 3.7253e-09, 4.8429e-08], [ 3.7253e-09, 0.0000e+00, -1.3597e-07, ..., 3.1665e-08, 3.7253e-09, 1.1176e-08], ..., [ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 8.3819e-08, 5.5879e-09, 1.1176e-08], [ 0.0000e+00, 0.0000e+00, 9.4995e-08, ..., 9.1270e-07, 1.2480e-07, 1.1884e-06], [ 1.4901e-08, 0.0000e+00, 1.8626e-09, ..., 5.4017e-08, 1.8626e-08, 5.2154e-08]], device='cuda:0') Epoch 260, bias, value: tensor([-0.0388, -0.0340, 0.0102, 0.0333, -0.0177, 0.0063, -0.0096, 0.0151, 0.0173, -0.0073], device='cuda:0'), grad: tensor([ 1.5348e-06, -2.1420e-07, -9.8720e-08, 1.3150e-06, 5.9605e-08, 6.3181e-06, -1.4156e-05, 2.4401e-07, 4.7050e-06, 2.6636e-07], device='cuda:0') 100 0.0001 changing lr epoch 259, time 214.22, cls_loss 0.0007 cls_loss_mapping 0.0021 cls_loss_causal 0.4916 re_mapping 0.0042 re_causal 0.0135 /// teacc 99.07 lr 0.00010000 Epoch 261, weight, value: tensor([[-0.1028, 0.0563, 0.0679, ..., -0.0901, -0.1687, 0.0624], [-0.0860, -0.0558, -0.1115, ..., 0.1754, -0.0938, -0.0756], [-0.0288, -0.0003, 0.2037, ..., -0.1123, -0.1426, -0.1308], ..., [-0.1354, -0.0585, 0.0130, ..., -0.0469, 0.1189, -0.0895], [-0.1077, -0.0952, -0.0733, ..., -0.1391, -0.0034, -0.1689], [-0.1879, -0.0603, -0.1526, ..., -0.1914, -0.0370, 0.1371]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -8.5682e-08, ..., 8.5682e-08, 0.0000e+00, -6.1467e-08], [ 1.8626e-09, 0.0000e+00, 9.3132e-09, ..., 4.9546e-07, 2.4214e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.1176e-08, ..., 1.0226e-06, 1.1176e-08, 5.5879e-09], ..., [ 0.0000e+00, 0.0000e+00, -2.0489e-08, ..., 3.5390e-07, -1.3411e-07, 1.4901e-08], [ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 2.8685e-07, 1.1176e-08, 1.1176e-08], [ 7.4506e-09, 0.0000e+00, 3.9116e-08, ..., 1.4901e-08, 5.2154e-08, 1.4901e-08]], device='cuda:0') Epoch 261, bias, value: tensor([-0.0388, -0.0339, 0.0100, 0.0334, -0.0187, 0.0063, -0.0092, 0.0150, 0.0169, -0.0063], device='cuda:0'), grad: tensor([ 4.4890e-07, 3.8445e-06, 7.7486e-06, -1.9878e-05, 3.9116e-07, 2.7865e-06, 2.0489e-08, 2.4587e-06, 1.8645e-06, 3.0175e-07], device='cuda:0') 100 0.0001 changing lr epoch 260, time 214.66, cls_loss 0.0008 cls_loss_mapping 0.0014 cls_loss_causal 0.4879 re_mapping 0.0040 re_causal 0.0126 /// teacc 99.17 lr 0.00010000 Epoch 262, weight, value: tensor([[-0.1028, 0.0563, 0.0691, ..., -0.0901, -0.1692, 0.0627], [-0.0861, -0.0558, -0.1121, ..., 0.1753, -0.0950, -0.0757], [-0.0294, -0.0002, 0.2049, ..., -0.1124, -0.1428, -0.1314], ..., [-0.1362, -0.0585, 0.0128, ..., -0.0462, 0.1193, -0.0896], [-0.1079, -0.0952, -0.0734, ..., -0.1393, -0.0035, -0.1689], [-0.1879, -0.0603, -0.1531, ..., -0.1917, -0.0371, 0.1373]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.4901e-08, ..., 0.0000e+00, 9.1270e-08, 1.4901e-08], [ 0.0000e+00, 0.0000e+00, 3.4273e-07, ..., -2.9802e-08, 2.5146e-07, 2.0489e-08], [ 0.0000e+00, 0.0000e+00, -3.6694e-07, ..., 1.1176e-08, 5.7369e-07, 5.5879e-09], ..., [ 0.0000e+00, 0.0000e+00, -2.1048e-07, ..., 3.7253e-09, 4.6194e-07, 2.6077e-08], [ 0.0000e+00, 0.0000e+00, 7.0781e-08, ..., 9.3132e-09, 7.4506e-07, 8.7544e-08], [ 0.0000e+00, 0.0000e+00, 3.1665e-08, ..., 0.0000e+00, 1.3411e-07, -2.9616e-07]], device='cuda:0') Epoch 262, bias, value: tensor([-0.0387, -0.0343, 0.0105, 0.0334, -0.0188, 0.0063, -0.0091, 0.0151, 0.0170, -0.0063], device='cuda:0'), grad: tensor([ 7.7300e-07, 2.1979e-06, 2.8815e-06, -2.5123e-05, 3.2037e-07, 7.4394e-06, 2.5705e-07, 5.9009e-06, 4.9844e-06, 3.2037e-07], device='cuda:0') 100 0.0001 changing lr epoch 261, time 214.28, cls_loss 0.0006 cls_loss_mapping 0.0014 cls_loss_causal 0.4872 re_mapping 0.0041 re_causal 0.0128 /// teacc 99.11 lr 0.00010000 Epoch 263, weight, value: tensor([[-0.1029, 0.0563, 0.0705, ..., -0.0901, -0.1696, 0.0634], [-0.0862, -0.0591, -0.1129, ..., 0.1752, -0.0955, -0.0758], [-0.0294, 0.0027, 0.2056, ..., -0.1123, -0.1432, -0.1320], ..., [-0.1368, -0.0585, 0.0128, ..., -0.0459, 0.1196, -0.0901], [-0.1080, -0.0952, -0.0734, ..., -0.1395, -0.0037, -0.1692], [-0.1879, -0.0604, -0.1534, ..., -0.1920, -0.0372, 0.1375]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -8.5682e-08, ..., 0.0000e+00, 5.5879e-09, -7.8231e-08], [ 1.8626e-09, 0.0000e+00, 1.8626e-09, ..., -9.1270e-08, 3.5390e-08, 1.8626e-09], [ 1.8626e-09, 0.0000e+00, 1.8626e-09, ..., 2.7940e-08, 2.4214e-08, 5.5879e-09], ..., [ 1.8626e-09, 0.0000e+00, 1.8626e-09, ..., 2.4214e-08, -1.3784e-07, -2.9802e-08], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 2.6077e-08, -5.2340e-07, 5.5879e-09], [ 1.1176e-08, 0.0000e+00, 4.2841e-08, ..., 5.5879e-09, 1.7509e-07, 3.5390e-08]], device='cuda:0') Epoch 263, bias, value: tensor([-0.0384, -0.0346, 0.0108, 0.0334, -0.0188, 0.0065, -0.0097, 0.0151, 0.0169, -0.0064], device='cuda:0'), grad: tensor([-1.2666e-07, -1.8626e-09, 1.9372e-07, 8.8103e-07, 1.1176e-08, 1.3858e-06, 8.0094e-08, -1.2293e-07, -3.0734e-06, 7.5623e-07], device='cuda:0') 100 0.0001 changing lr epoch 262, time 214.18, cls_loss 0.0008 cls_loss_mapping 0.0015 cls_loss_causal 0.5050 re_mapping 0.0042 re_causal 0.0124 /// teacc 99.14 lr 0.00010000 Epoch 264, weight, value: tensor([[-0.1029, 0.0563, 0.0710, ..., -0.0901, -0.1708, 0.0637], [-0.0864, -0.0591, -0.1131, ..., 0.1754, -0.0958, -0.0758], [-0.0299, 0.0028, 0.2065, ..., -0.1124, -0.1432, -0.1320], ..., [-0.1374, -0.0588, 0.0127, ..., -0.0460, 0.1198, -0.0903], [-0.1077, -0.0952, -0.0735, ..., -0.1395, -0.0038, -0.1694], [-0.1881, -0.0604, -0.1539, ..., -0.1923, -0.0373, 0.1376]], device='cuda:0'), grad: tensor([[ 8.3819e-08, 0.0000e+00, 1.6764e-08, ..., 1.6950e-07, 3.7253e-09, 8.0094e-08], [ 5.5879e-09, 0.0000e+00, 2.2352e-08, ..., -3.5763e-07, 1.4901e-08, 3.7253e-09], [ 7.4506e-09, -0.0000e+00, 2.0489e-08, ..., 2.8312e-07, 1.1548e-07, 3.7253e-09], ..., [ 7.4506e-09, 0.0000e+00, -1.2107e-07, ..., 2.0489e-08, -1.7509e-07, 7.4506e-09], [-2.7940e-08, 0.0000e+00, 2.4214e-08, ..., 1.7136e-07, 3.5390e-08, -3.3528e-08], [ 1.0990e-07, 0.0000e+00, 5.5879e-09, ..., 5.5879e-09, 5.5879e-09, -1.6764e-08]], device='cuda:0') Epoch 264, bias, value: tensor([-0.0383, -0.0347, 0.0110, 0.0334, -0.0187, 0.0066, -0.0097, 0.0152, 0.0168, -0.0067], device='cuda:0'), grad: tensor([ 5.1595e-07, -3.2596e-07, 5.3085e-07, -1.6969e-06, -8.1956e-08, 1.9278e-06, -6.7241e-07, -2.8498e-07, -4.0792e-07, 4.7870e-07], device='cuda:0') 100 0.0001 changing lr epoch 263, time 214.40, cls_loss 0.0006 cls_loss_mapping 0.0013 cls_loss_causal 0.4787 re_mapping 0.0042 re_causal 0.0127 /// teacc 99.09 lr 0.00010000 Epoch 265, weight, value: tensor([[-0.1029, 0.0563, 0.0711, ..., -0.0901, -0.1749, 0.0638], [-0.0864, -0.0592, -0.1134, ..., 0.1756, -0.0962, -0.0759], [-0.0301, 0.0028, 0.2070, ..., -0.1125, -0.1435, -0.1321], ..., [-0.1375, -0.0589, 0.0127, ..., -0.0461, 0.1202, -0.0904], [-0.1078, -0.0953, -0.0736, ..., -0.1396, -0.0040, -0.1695], [-0.1882, -0.0606, -0.1541, ..., -0.1925, -0.0374, 0.1377]], device='cuda:0'), grad: tensor([[ 7.4506e-09, 0.0000e+00, -7.2643e-08, ..., 3.7253e-09, 9.3132e-09, -7.0781e-08], [ 9.3132e-09, 0.0000e+00, 5.5879e-09, ..., -3.7253e-07, 1.4901e-08, 0.0000e+00], [ 5.5879e-09, 0.0000e+00, -2.0489e-07, ..., 1.6391e-07, 1.3039e-08, 1.8626e-09], ..., [ 5.4017e-08, 0.0000e+00, 1.6764e-07, ..., 4.4703e-08, 2.9802e-08, 2.0489e-08], [ 9.3132e-09, 0.0000e+00, 1.1176e-08, ..., 7.6368e-08, 1.6764e-08, 2.2352e-08], [ 1.1176e-08, 0.0000e+00, 4.6566e-08, ..., 5.5879e-09, 1.8626e-08, -7.4506e-09]], device='cuda:0') Epoch 265, bias, value: tensor([-0.0383, -0.0348, 0.0110, 0.0336, -0.0186, 0.0064, -0.0096, 0.0153, 0.0166, -0.0068], device='cuda:0'), grad: tensor([-6.3330e-08, -7.5437e-07, 1.6950e-07, -6.9439e-06, 1.0431e-07, 6.7353e-06, 5.9605e-08, 6.5193e-07, -5.5879e-09, 5.2154e-08], device='cuda:0') 100 0.0001 changing lr epoch 264, time 214.31, cls_loss 0.0007 cls_loss_mapping 0.0013 cls_loss_causal 0.4606 re_mapping 0.0038 re_causal 0.0117 /// teacc 99.12 lr 0.00010000 Epoch 266, weight, value: tensor([[-0.1030, 0.0563, 0.0722, ..., -0.0902, -0.1760, 0.0643], [-0.0866, -0.0592, -0.1136, ..., 0.1758, -0.0967, -0.0760], [-0.0305, 0.0028, 0.2080, ..., -0.1127, -0.1438, -0.1325], ..., [-0.1381, -0.0589, 0.0127, ..., -0.0463, 0.1205, -0.0905], [-0.1059, -0.0953, -0.0737, ..., -0.1397, -0.0041, -0.1696], [-0.1883, -0.0613, -0.1548, ..., -0.1927, -0.0375, 0.1376]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -5.9605e-08, ..., 1.3039e-08, 1.4156e-07, 2.4959e-07], [ 7.4506e-09, 0.0000e+00, 1.6764e-08, ..., -4.8839e-06, 9.3132e-09, 2.0489e-08], [ 1.8626e-09, 0.0000e+00, -7.4506e-08, ..., 3.6918e-06, 2.2352e-08, 2.6077e-08], ..., [ 0.0000e+00, 0.0000e+00, -3.7253e-09, ..., 1.0040e-06, -2.9802e-08, 7.0781e-08], [-3.7253e-09, 0.0000e+00, 1.8626e-09, ..., 5.4017e-08, 1.8813e-07, 4.0233e-07], [ 2.0489e-08, 0.0000e+00, 2.7940e-08, ..., 1.4901e-08, 1.4901e-08, -2.1607e-07]], device='cuda:0') Epoch 266, bias, value: tensor([-0.0381, -0.0348, 0.0114, 0.0335, -0.0186, 0.0064, -0.0100, 0.0153, 0.0169, -0.0070], device='cuda:0'), grad: tensor([ 1.1921e-06, -7.7486e-06, 6.7689e-06, 9.3505e-07, 2.1607e-07, -4.6864e-06, 1.7174e-06, 1.9800e-06, -1.4156e-07, -2.6077e-07], device='cuda:0') 100 0.0001 changing lr epoch 265, time 214.42, cls_loss 0.0010 cls_loss_mapping 0.0024 cls_loss_causal 0.4857 re_mapping 0.0040 re_causal 0.0118 /// teacc 99.07 lr 0.00010000 Epoch 267, weight, value: tensor([[-0.1031, 0.0563, 0.0727, ..., -0.0902, -0.1771, 0.0644], [-0.0867, -0.0593, -0.1140, ..., 0.1760, -0.0974, -0.0761], [-0.0309, 0.0030, 0.2086, ..., -0.1130, -0.1452, -0.1327], ..., [-0.1392, -0.0589, 0.0132, ..., -0.0461, 0.1218, -0.0906], [-0.1068, -0.0953, -0.0739, ..., -0.1400, -0.0045, -0.1697], [-0.1884, -0.0614, -0.1552, ..., -0.1931, -0.0378, 0.1377]], device='cuda:0'), grad: tensor([[ 1.4137e-06, 0.0000e+00, -3.3155e-07, ..., 3.7625e-07, 1.8626e-09, -2.7008e-07], [ 1.3039e-08, 0.0000e+00, 3.3528e-08, ..., -2.9802e-08, 7.4506e-09, 3.5390e-08], [ 8.5682e-08, 0.0000e+00, 1.0431e-07, ..., 2.6077e-08, 1.1176e-08, 7.0781e-08], ..., [ 1.8626e-08, 0.0000e+00, -4.6566e-08, ..., 3.7253e-09, -1.0058e-07, 4.8429e-08], [ 1.1362e-06, 0.0000e+00, 3.7812e-07, ..., 2.9244e-07, 9.3132e-09, 4.6566e-08], [ 3.1665e-08, 0.0000e+00, 9.3132e-08, ..., 1.8626e-09, 5.5879e-09, -4.1723e-07]], device='cuda:0') Epoch 267, bias, value: tensor([-0.0382, -0.0351, 0.0112, 0.0323, -0.0186, 0.0079, -0.0094, 0.0163, 0.0165, -0.0071], device='cuda:0'), grad: tensor([ 2.7008e-06, 1.3039e-07, 6.1467e-07, 3.1106e-07, 1.4249e-06, 2.3283e-07, -8.0913e-06, -7.0781e-08, 3.4217e-06, -7.0035e-07], device='cuda:0') 100 0.0001 changing lr epoch 266, time 214.43, cls_loss 0.0007 cls_loss_mapping 0.0017 cls_loss_causal 0.4789 re_mapping 0.0040 re_causal 0.0117 /// teacc 99.05 lr 0.00010000 Epoch 268, weight, value: tensor([[-0.1032, 0.0563, 0.0735, ..., -0.0903, -0.1773, 0.0647], [-0.0868, -0.0593, -0.1142, ..., 0.1765, -0.0975, -0.0761], [-0.0305, 0.0032, 0.2089, ..., -0.1131, -0.1453, -0.1332], ..., [-0.1397, -0.0589, 0.0132, ..., -0.0464, 0.1220, -0.0907], [-0.1072, -0.0954, -0.0740, ..., -0.1402, -0.0046, -0.1699], [-0.1884, -0.0614, -0.1553, ..., -0.1935, -0.0378, 0.1382]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, 1.0058e-07, ..., 7.4506e-09, 2.7940e-08, 9.6858e-08], [-5.5879e-09, 0.0000e+00, 1.3039e-07, ..., -8.5682e-08, 4.0978e-08, 1.3039e-08], [ 9.3132e-09, 0.0000e+00, -1.8217e-06, ..., 2.4214e-08, 1.7695e-07, 1.6764e-08], ..., [ 5.5879e-09, 0.0000e+00, -1.6764e-08, ..., 2.6077e-08, -1.8980e-06, 2.1793e-07], [ 9.3132e-09, 0.0000e+00, 4.6566e-08, ..., 2.9802e-08, 8.3819e-08, 5.9605e-08], [ 1.8626e-09, 0.0000e+00, 2.0862e-07, ..., 1.8626e-09, 2.6263e-07, -5.0291e-07]], device='cuda:0') Epoch 268, bias, value: tensor([-0.0381, -0.0350, 0.0112, 0.0320, -0.0187, 0.0082, -0.0095, 0.0163, 0.0164, -0.0069], device='cuda:0'), grad: tensor([ 7.2084e-07, 2.2538e-07, -3.4235e-06, 7.0781e-07, 2.5686e-06, 1.7807e-06, -1.6764e-08, -2.8815e-06, 5.4762e-07, -2.4587e-07], device='cuda:0') 100 0.0001 changing lr epoch 267, time 214.49, cls_loss 0.0007 cls_loss_mapping 0.0019 cls_loss_causal 0.4727 re_mapping 0.0039 re_causal 0.0121 /// teacc 99.16 lr 0.00010000 Epoch 269, weight, value: tensor([[-0.1034, 0.0563, 0.0740, ..., -0.0904, -0.1778, 0.0648], [-0.0868, -0.0593, -0.1143, ..., 0.1770, -0.0977, -0.0762], [-0.0308, 0.0033, 0.2091, ..., -0.1136, -0.1457, -0.1337], ..., [-0.1402, -0.0589, 0.0133, ..., -0.0468, 0.1222, -0.0907], [-0.1076, -0.0954, -0.0740, ..., -0.1404, -0.0050, -0.1703], [-0.1884, -0.0614, -0.1555, ..., -0.1927, -0.0380, 0.1393]], device='cuda:0'), grad: tensor([[ 1.1921e-07, 0.0000e+00, -5.5879e-09, ..., 8.3819e-08, 3.1665e-08, 1.3039e-08], [ 2.4214e-07, 0.0000e+00, 0.0000e+00, ..., -2.0489e-07, 3.9116e-08, -2.7940e-08], [ 7.6368e-08, 0.0000e+00, 0.0000e+00, ..., 3.3528e-08, 1.5087e-07, 3.7253e-09], ..., [ 1.9372e-07, 0.0000e+00, 0.0000e+00, ..., 4.0978e-08, -1.9576e-06, 1.4901e-08], [ 2.9057e-07, 0.0000e+00, 0.0000e+00, ..., 2.5146e-07, 8.7544e-08, 4.2841e-08], [ 1.4663e-05, 0.0000e+00, 3.7253e-09, ..., 9.3132e-09, 8.5682e-08, -1.8999e-07]], device='cuda:0') Epoch 269, bias, value: tensor([-0.0381, -0.0349, 0.0106, 0.0322, -0.0188, 0.0078, -0.0090, 0.0165, 0.0159, -0.0066], device='cuda:0'), grad: tensor([ 7.4133e-07, 6.4261e-07, 9.7044e-07, 4.5449e-06, -5.3376e-05, 1.1045e-06, -1.9837e-06, -5.4426e-06, 1.4529e-06, 5.1439e-05], device='cuda:0') 100 0.0001 changing lr epoch 268, time 214.44, cls_loss 0.0008 cls_loss_mapping 0.0016 cls_loss_causal 0.4846 re_mapping 0.0039 re_causal 0.0117 /// teacc 99.18 lr 0.00010000 Epoch 270, weight, value: tensor([[-0.1035, 0.0563, 0.0729, ..., -0.0904, -0.1774, 0.0626], [-0.0869, -0.0593, -0.1145, ..., 0.1782, -0.0978, -0.0762], [-0.0312, 0.0033, 0.2105, ..., -0.1139, -0.1459, -0.1340], ..., [-0.1411, -0.0590, 0.0130, ..., -0.0496, 0.1223, -0.0909], [-0.1083, -0.0955, -0.0742, ..., -0.1407, -0.0050, -0.1704], [-0.1884, -0.0614, -0.1546, ..., -0.1929, -0.0380, 0.1420]], device='cuda:0'), grad: tensor([[ 4.0978e-08, 0.0000e+00, 1.8626e-09, ..., 4.4703e-08, 5.5879e-09, -9.3132e-09], [ 1.8626e-08, 0.0000e+00, 1.3411e-07, ..., -2.2352e-08, 3.3528e-08, 0.0000e+00], [ 9.3132e-09, 0.0000e+00, -3.0734e-07, ..., -2.6077e-08, 8.5682e-08, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -2.9244e-07, ..., 2.4214e-08, -6.2771e-07, 0.0000e+00], [ 1.1921e-07, 0.0000e+00, 1.4156e-07, ..., 1.4901e-07, 6.3330e-08, 1.8626e-09], [ 1.4901e-08, 0.0000e+00, 2.3842e-07, ..., 1.3039e-08, 3.7439e-07, 0.0000e+00]], device='cuda:0') Epoch 270, bias, value: tensor([-0.0394, -0.0345, 0.0112, 0.0322, -0.0190, 0.0078, -0.0089, 0.0159, 0.0159, -0.0054], device='cuda:0'), grad: tensor([ 2.8312e-07, 3.7998e-07, -1.8254e-07, -4.8801e-07, 1.0058e-07, 7.9535e-07, -1.1418e-06, -1.5534e-06, 5.7183e-07, 1.2349e-06], device='cuda:0') 100 0.0001 changing lr epoch 269, time 214.51, cls_loss 0.0022 cls_loss_mapping 0.0042 cls_loss_causal 0.5151 re_mapping 0.0041 re_causal 0.0127 /// teacc 99.03 lr 0.00010000 Epoch 271, weight, value: tensor([[-0.1035, 0.0563, 0.0701, ..., -0.0902, -0.1777, 0.0598], [-0.0870, -0.0593, -0.1118, ..., 0.1821, -0.0980, -0.0765], [-0.0316, 0.0033, 0.2113, ..., -0.1150, -0.1461, -0.1351], ..., [-0.1420, -0.0590, 0.0128, ..., -0.0509, 0.1224, -0.0912], [-0.1087, -0.0955, -0.0769, ..., -0.1446, -0.0050, -0.1709], [-0.1885, -0.0615, -0.1518, ..., -0.1946, -0.0381, 0.1449]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -8.7917e-07, ..., 7.4506e-09, 0.0000e+00, -1.3970e-06], [ 1.6764e-08, 0.0000e+00, 5.1968e-07, ..., -2.6636e-07, 3.7253e-09, 3.9116e-08], [-1.1176e-08, 1.8626e-09, -8.3819e-07, ..., 9.6858e-08, 5.5879e-09, 2.9802e-08], ..., [ 1.8626e-09, 0.0000e+00, 2.6077e-08, ..., 6.3330e-08, -1.8626e-08, 5.4017e-08], [ 5.5879e-09, 0.0000e+00, 1.6019e-07, ..., 5.9605e-08, 1.8626e-09, 1.2666e-07], [ 0.0000e+00, 0.0000e+00, 4.6380e-07, ..., 1.8626e-09, 3.7253e-09, 7.2643e-08]], device='cuda:0') Epoch 271, bias, value: tensor([-0.0422, -0.0311, 0.0107, 0.0326, -0.0191, 0.0070, -0.0082, 0.0155, 0.0125, -0.0026], device='cuda:0'), grad: tensor([-3.4422e-06, 3.6508e-07, -9.2760e-07, 1.9539e-06, 4.8801e-07, 3.3155e-07, 1.6019e-07, 2.7940e-07, 5.9977e-07, 1.5832e-07], device='cuda:0') 100 0.0001 changing lr epoch 270, time 214.41, cls_loss 0.0008 cls_loss_mapping 0.0017 cls_loss_causal 0.5245 re_mapping 0.0040 re_causal 0.0126 /// teacc 99.11 lr 0.00010000 Epoch 272, weight, value: tensor([[-0.1036, 0.0563, 0.0701, ..., -0.0902, -0.1782, 0.0598], [-0.0873, -0.0593, -0.1119, ..., 0.1822, -0.0984, -0.0766], [-0.0326, 0.0034, 0.2091, ..., -0.1151, -0.1502, -0.1357], ..., [-0.1433, -0.0590, 0.0146, ..., -0.0518, 0.1236, -0.0915], [-0.1091, -0.0955, -0.0770, ..., -0.1446, -0.0051, -0.1710], [-0.1886, -0.0621, -0.1518, ..., -0.1950, -0.0383, 0.1450]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -6.5193e-08, ..., 7.4506e-09, 7.4506e-09, -1.0803e-07], [ 9.3132e-09, 0.0000e+00, 1.8626e-08, ..., -9.3132e-08, 7.4506e-09, 7.4506e-09], [ 1.8626e-09, 0.0000e+00, -1.4529e-07, ..., 1.6764e-08, 1.8626e-09, 1.8626e-09], ..., [ 7.4506e-09, 0.0000e+00, -3.1665e-08, ..., 2.9802e-08, -3.8929e-07, 5.7742e-08], [ 7.4506e-09, 0.0000e+00, 3.3528e-08, ..., 3.3528e-08, 5.5879e-09, 1.6764e-08], [ 4.6566e-08, 0.0000e+00, 1.0990e-07, ..., 5.5879e-09, 1.8626e-07, -8.5682e-08]], device='cuda:0') Epoch 272, bias, value: tensor([-0.0422, -0.0311, 0.0083, 0.0329, -0.0184, 0.0070, -0.0101, 0.0164, 0.0125, -0.0026], device='cuda:0'), grad: tensor([-9.6858e-08, 4.8429e-08, 3.3714e-07, 4.5076e-07, 1.2480e-07, 1.1716e-06, 1.8813e-07, -4.1910e-07, -2.1104e-06, 2.8126e-07], device='cuda:0') 100 0.0001 changing lr epoch 271, time 214.39, cls_loss 0.0007 cls_loss_mapping 0.0020 cls_loss_causal 0.4642 re_mapping 0.0041 re_causal 0.0120 /// teacc 99.15 lr 0.00010000 Epoch 273, weight, value: tensor([[-0.1037, 0.0563, 0.0701, ..., -0.0902, -0.1789, 0.0598], [-0.0878, -0.0593, -0.1120, ..., 0.1822, -0.0987, -0.0767], [-0.0334, 0.0034, 0.2097, ..., -0.1157, -0.1505, -0.1360], ..., [-0.1473, -0.0590, 0.0146, ..., -0.0530, 0.1237, -0.0918], [-0.1096, -0.0955, -0.0771, ..., -0.1446, -0.0051, -0.1712], [-0.1886, -0.0621, -0.1518, ..., -0.1953, -0.0383, 0.1450]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.4959e-07, ..., -5.0291e-08, 1.4715e-07, 4.0978e-08], [ 3.7253e-09, 0.0000e+00, 4.6566e-08, ..., 1.4342e-07, 1.8626e-08, 5.2154e-08], [ 0.0000e+00, 0.0000e+00, 2.2724e-07, ..., 9.8720e-08, 1.1921e-07, 3.0175e-07], ..., [ 1.8626e-09, 0.0000e+00, 3.7253e-08, ..., 2.6077e-08, 7.2643e-08, 7.2643e-08], [ 0.0000e+00, 0.0000e+00, 6.1467e-08, ..., 1.0990e-07, 1.2480e-07, 8.1956e-08], [ 7.4506e-09, 0.0000e+00, 2.0675e-07, ..., 4.2841e-08, 6.1467e-08, 2.5891e-07]], device='cuda:0') Epoch 273, bias, value: tensor([-0.0422, -0.0313, 0.0075, 0.0340, -0.0184, 0.0068, -0.0107, 0.0158, 0.0125, -0.0026], device='cuda:0'), grad: tensor([ 2.3469e-06, 6.9104e-07, 2.6282e-06, -3.7283e-05, 9.8720e-08, 2.8104e-05, -8.6054e-07, 1.2275e-06, 2.0079e-06, 1.0431e-06], device='cuda:0') 100 0.0001 changing lr epoch 272, time 214.30, cls_loss 0.0006 cls_loss_mapping 0.0016 cls_loss_causal 0.4886 re_mapping 0.0039 re_causal 0.0121 /// teacc 99.09 lr 0.00010000 Epoch 274, weight, value: tensor([[-0.1038, 0.0563, 0.0701, ..., -0.0901, -0.1797, 0.0598], [-0.0880, -0.0593, -0.1120, ..., 0.1823, -0.0990, -0.0767], [-0.0336, 0.0034, 0.2098, ..., -0.1159, -0.1509, -0.1364], ..., [-0.1492, -0.0590, 0.0148, ..., -0.0532, 0.1241, -0.0919], [-0.1104, -0.0955, -0.0771, ..., -0.1447, -0.0052, -0.1710], [-0.1887, -0.0621, -0.1518, ..., -0.1957, -0.0385, 0.1450]], device='cuda:0'), grad: tensor([[ 8.0746e-07, 0.0000e+00, -1.5777e-06, ..., -6.5193e-09, -4.3027e-07, -1.0356e-06], [ 7.6648e-07, 0.0000e+00, 3.6322e-08, ..., 2.7940e-09, 8.3819e-09, 1.3039e-08], [ 2.1160e-06, 0.0000e+00, 2.9150e-07, ..., 5.5879e-09, 8.8476e-08, 1.9465e-07], ..., [ 3.9116e-08, 0.0000e+00, 6.8918e-08, ..., 2.1420e-08, 1.3970e-08, 4.8429e-08], [ 1.5832e-08, 0.0000e+00, 1.4156e-07, ..., 7.2643e-08, 6.0536e-08, 1.0524e-07], [ 5.3272e-07, 0.0000e+00, 7.6182e-07, ..., 1.3970e-08, 2.1420e-07, 4.7870e-07]], device='cuda:0') Epoch 274, bias, value: tensor([-0.0422, -0.0312, 0.0073, 0.0342, -0.0183, 0.0065, -0.0106, 0.0158, 0.0125, -0.0026], device='cuda:0'), grad: tensor([-2.5537e-06, 1.7239e-06, 3.5465e-06, -5.5209e-06, -5.6699e-06, 1.1371e-06, 6.8545e-07, 6.1654e-07, 3.4459e-06, 2.5854e-06], device='cuda:0') 100 0.0001 changing lr epoch 273, time 214.40, cls_loss 0.0007 cls_loss_mapping 0.0021 cls_loss_causal 0.5245 re_mapping 0.0038 re_causal 0.0123 /// teacc 99.03 lr 0.00010000 Epoch 275, weight, value: tensor([[-0.1040, 0.0563, 0.0701, ..., -0.0905, -0.1800, 0.0598], [-0.0885, -0.0594, -0.1122, ..., 0.1824, -0.0994, -0.0767], [-0.0336, 0.0041, 0.2107, ..., -0.1169, -0.1510, -0.1367], ..., [-0.1511, -0.0597, 0.0148, ..., -0.0534, 0.1244, -0.0920], [-0.1109, -0.0956, -0.0773, ..., -0.1447, -0.0053, -0.1711], [-0.1888, -0.0621, -0.1518, ..., -0.1962, -0.0387, 0.1450]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, 1.1176e-08, ..., 9.3132e-10, 2.5146e-08, 4.0978e-08], [ 9.0338e-08, 0.0000e+00, 4.9081e-07, ..., 2.6450e-07, 6.2399e-07, 3.7253e-09], [ 6.5193e-09, 0.0000e+00, -2.5891e-07, ..., 1.3039e-08, 2.7008e-08, 2.3283e-08], ..., [ 1.9558e-08, 0.0000e+00, -5.8487e-07, ..., -3.0641e-07, -7.8417e-07, 1.8626e-08], [ 2.3283e-08, 0.0000e+00, 3.4459e-08, ..., 2.3283e-08, 1.8626e-08, 5.5879e-09], [ 3.3714e-07, 0.0000e+00, 1.9278e-07, ..., 1.4901e-08, 1.1744e-06, 2.5835e-06]], device='cuda:0') Epoch 275, bias, value: tensor([-0.0422, -0.0312, 0.0070, 0.0341, -0.0182, 0.0064, -0.0100, 0.0158, 0.0126, -0.0026], device='cuda:0'), grad: tensor([ 1.5553e-07, 2.1011e-06, -3.0361e-07, -7.1712e-08, -1.1148e-06, -6.3404e-06, -1.5460e-07, -1.8682e-06, 3.4459e-07, 7.2233e-06], device='cuda:0') 100 0.0001 changing lr epoch 274, time 214.36, cls_loss 0.0007 cls_loss_mapping 0.0016 cls_loss_causal 0.5090 re_mapping 0.0041 re_causal 0.0127 /// teacc 98.94 lr 0.00010000 Epoch 276, weight, value: tensor([[-0.1044, 0.0563, 0.0701, ..., -0.0907, -0.1811, 0.0598], [-0.0887, -0.0594, -0.1125, ..., 0.1825, -0.1008, -0.0767], [-0.0340, 0.0041, 0.2111, ..., -0.1179, -0.1511, -0.1376], ..., [-0.1515, -0.0597, 0.0153, ..., -0.0527, 0.1249, -0.0921], [-0.1114, -0.0956, -0.0774, ..., -0.1447, -0.0054, -0.1711], [-0.1889, -0.0622, -0.1518, ..., -0.1969, -0.0390, 0.1449]], device='cuda:0'), grad: tensor([[ 1.1176e-08, 0.0000e+00, -8.1956e-08, ..., -0.0000e+00, 0.0000e+00, -1.0338e-07], [ 1.7695e-08, 0.0000e+00, -8.2180e-06, ..., -1.3016e-05, 1.3039e-08, 2.7940e-09], [ 4.6566e-09, 0.0000e+00, 7.7039e-06, ..., 1.2137e-05, 1.8626e-09, 8.3819e-09], ..., [ 1.3039e-08, 0.0000e+00, 4.2003e-07, ..., 6.8825e-07, -2.8871e-08, 6.9849e-08], [ 2.1420e-08, 0.0000e+00, 4.0978e-08, ..., 2.5146e-08, -1.3039e-08, 7.6368e-08], [ 1.3877e-07, 0.0000e+00, 1.3225e-07, ..., 9.3132e-08, 1.2107e-08, 4.6566e-08]], device='cuda:0') Epoch 276, bias, value: tensor([-0.0422, -0.0313, 0.0065, 0.0342, -0.0182, 0.0063, -0.0097, 0.0168, 0.0126, -0.0027], device='cuda:0'), grad: tensor([ 1.3039e-08, -2.6211e-05, 2.4557e-05, -4.5914e-07, -2.1607e-07, 1.0990e-07, 8.9407e-08, 1.5935e-06, -2.0023e-07, 6.8452e-07], device='cuda:0') 100 0.0001 changing lr epoch 275, time 214.58, cls_loss 0.0009 cls_loss_mapping 0.0023 cls_loss_causal 0.4829 re_mapping 0.0040 re_causal 0.0121 /// teacc 99.06 lr 0.00010000 Epoch 277, weight, value: tensor([[-0.1049, 0.0564, 0.0702, ..., -0.0907, -0.1814, 0.0599], [-0.0893, -0.0594, -0.1125, ..., 0.1829, -0.1019, -0.0768], [-0.0353, 0.0041, 0.2114, ..., -0.1189, -0.1513, -0.1384], ..., [-0.1527, -0.0598, 0.0155, ..., -0.0553, 0.1254, -0.0923], [-0.1089, -0.0957, -0.0775, ..., -0.1443, -0.0055, -0.1713], [-0.1891, -0.0623, -0.1519, ..., -0.1979, -0.0391, 0.1450]], device='cuda:0'), grad: tensor([[ 2.7940e-09, -1.2107e-08, -2.0396e-07, ..., 0.0000e+00, 1.3039e-08, -2.8498e-07], [ 1.1176e-08, 0.0000e+00, 5.1223e-08, ..., -3.5390e-08, 3.2596e-08, 3.7253e-09], [ 2.7940e-09, 0.0000e+00, -2.3004e-07, ..., 3.7253e-09, 3.0734e-08, 4.6566e-09], ..., [ 9.3132e-09, 0.0000e+00, 6.5193e-09, ..., 1.4901e-08, -3.2503e-07, 9.3132e-09], [ 3.7253e-09, 9.3132e-10, 2.7008e-08, ..., 1.0245e-08, 1.0245e-08, 5.8673e-08], [ 3.4831e-07, 9.3132e-09, 2.7288e-07, ..., 1.8626e-09, 2.5146e-08, 9.6858e-08]], device='cuda:0') Epoch 277, bias, value: tensor([-0.0422, -0.0311, 0.0061, 0.0336, -0.0181, 0.0075, -0.0137, 0.0164, 0.0134, -0.0027], device='cuda:0'), grad: tensor([-5.4296e-07, 1.7416e-07, -1.2387e-07, 2.1327e-06, -3.7160e-07, -4.3027e-07, 3.1665e-08, -2.1830e-06, 2.5425e-07, 1.0580e-06], device='cuda:0') 100 0.0001 changing lr epoch 276, time 214.28, cls_loss 0.0009 cls_loss_mapping 0.0021 cls_loss_causal 0.4936 re_mapping 0.0039 re_causal 0.0119 /// teacc 99.15 lr 0.00010000 Epoch 278, weight, value: tensor([[-0.1049, 0.0564, 0.0702, ..., -0.0900, -0.1832, 0.0599], [-0.0895, -0.0594, -0.1126, ..., 0.1831, -0.1029, -0.0769], [-0.0354, 0.0041, 0.2118, ..., -0.1195, -0.1532, -0.1421], ..., [-0.1536, -0.0598, 0.0157, ..., -0.0559, 0.1265, -0.0925], [-0.1092, -0.0957, -0.0780, ..., -0.1444, -0.0056, -0.1718], [-0.1894, -0.0624, -0.1519, ..., -0.1976, -0.0401, 0.1450]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.9092e-07, ..., 4.4703e-08, 4.6566e-08, -4.1537e-07], [ 6.5193e-09, 0.0000e+00, 4.3679e-07, ..., -2.2352e-08, 9.1735e-07, 5.3085e-08], [ 1.8626e-09, 0.0000e+00, 2.0582e-07, ..., 1.8626e-08, 5.1595e-07, 6.5193e-09], ..., [ 5.5879e-09, 0.0000e+00, -4.1910e-06, ..., 9.3132e-09, -9.3356e-06, -5.6159e-07], [ 4.6566e-09, 0.0000e+00, 1.9465e-07, ..., 1.5274e-07, 2.9802e-07, 3.2596e-08], [ 1.7695e-08, 0.0000e+00, 2.9691e-06, ..., 8.3819e-09, 6.8545e-06, 4.7963e-07]], device='cuda:0') Epoch 278, bias, value: tensor([-0.0421, -0.0310, 0.0056, 0.0334, -0.0183, 0.0081, -0.0137, 0.0172, 0.0133, -0.0027], device='cuda:0'), grad: tensor([-6.0163e-07, 2.5518e-06, 1.8515e-06, 7.6741e-07, 1.0133e-06, 5.2992e-07, -4.3772e-08, -2.6122e-05, 1.2647e-06, 1.8761e-05], device='cuda:0') 100 0.0001 changing lr epoch 277, time 214.44, cls_loss 0.0014 cls_loss_mapping 0.0028 cls_loss_causal 0.4883 re_mapping 0.0040 re_causal 0.0120 /// teacc 99.18 lr 0.00010000 Epoch 279, weight, value: tensor([[-0.1050, 0.0564, 0.0702, ..., -0.0899, -0.1839, 0.0599], [-0.0899, -0.0594, -0.1128, ..., 0.1831, -0.1038, -0.0770], [-0.0380, 0.0041, 0.2132, ..., -0.1198, -0.1537, -0.1422], ..., [-0.1570, -0.0600, 0.0165, ..., -0.0560, 0.1242, -0.0959], [-0.1096, -0.0957, -0.0783, ..., -0.1444, -0.0059, -0.1722], [-0.1897, -0.0625, -0.1519, ..., -0.1967, -0.0380, 0.1464]], device='cuda:0'), grad: tensor([[ 1.0245e-08, -1.5274e-07, -1.3411e-07, ..., -1.8626e-09, 2.7008e-08, -2.4773e-07], [ 3.9116e-08, 2.7940e-09, 1.6298e-07, ..., -8.3819e-09, 2.5146e-08, 5.5879e-09], [ 7.4506e-09, 3.7253e-09, -1.3812e-06, ..., 1.2107e-08, 1.0058e-07, 1.3039e-08], ..., [ 6.5193e-09, 3.7253e-09, 1.9837e-07, ..., 3.7253e-09, 3.9581e-07, 4.0047e-08], [ 5.2154e-08, 2.5146e-08, 3.7905e-07, ..., 5.6811e-08, 1.0617e-07, 5.4948e-08], [ 1.2293e-07, 5.7742e-08, 1.5926e-07, ..., 1.5832e-08, 1.2480e-07, 1.0617e-07]], device='cuda:0') Epoch 279, bias, value: tensor([-0.0421, -0.0311, 0.0057, 0.0329, -0.0177, 0.0077, -0.0138, 0.0150, 0.0133, -0.0003], device='cuda:0'), grad: tensor([-3.3714e-07, 4.6566e-07, -1.7835e-06, -4.8801e-07, -1.0151e-07, -1.5525e-06, 5.4948e-08, 1.6475e-06, 1.2005e-06, 8.9128e-07], device='cuda:0') 100 0.0001 changing lr epoch 278, time 214.49, cls_loss 0.0006 cls_loss_mapping 0.0022 cls_loss_causal 0.4930 re_mapping 0.0041 re_causal 0.0125 /// teacc 99.10 lr 0.00010000 Epoch 280, weight, value: tensor([[-0.1050, 0.0564, 0.0702, ..., -0.0909, -0.1860, 0.0599], [-0.0902, -0.0595, -0.1129, ..., 0.1831, -0.1042, -0.0797], [-0.0392, 0.0044, 0.2136, ..., -0.1201, -0.1539, -0.1424], ..., [-0.1567, -0.0600, 0.0166, ..., -0.0562, 0.1243, -0.0959], [-0.1098, -0.0957, -0.0784, ..., -0.1444, -0.0060, -0.1724], [-0.1897, -0.0628, -0.1520, ..., -0.1951, -0.0380, 0.1464]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., 1.9558e-08, 1.8626e-08, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 8.8476e-08, ..., -3.9581e-07, 8.3819e-09, 8.3819e-09], [ 0.0000e+00, 0.0000e+00, -1.5041e-06, ..., 1.0617e-07, 6.5193e-09, 4.6566e-09], ..., [ 0.0000e+00, 0.0000e+00, 4.7497e-08, ..., 5.0291e-08, -3.7253e-09, 2.1886e-07], [ 9.3132e-10, 0.0000e+00, 9.6485e-07, ..., 9.2201e-08, 1.5832e-08, 1.2107e-08], [ 0.0000e+00, 0.0000e+00, 2.8871e-08, ..., 1.1176e-08, 5.1223e-08, -1.4715e-07]], device='cuda:0') Epoch 280, bias, value: tensor([-0.0421, -0.0313, 0.0055, 0.0328, -0.0178, 0.0077, -0.0136, 0.0150, 0.0133, -0.0003], device='cuda:0'), grad: tensor([ 1.4529e-07, -6.8732e-07, -2.4848e-06, 7.0129e-07, 1.2759e-07, -4.9919e-07, 1.4808e-07, 7.7393e-07, 2.1160e-06, -3.4086e-07], device='cuda:0') 100 0.0001 changing lr epoch 279, time 214.34, cls_loss 0.0009 cls_loss_mapping 0.0020 cls_loss_causal 0.4854 re_mapping 0.0039 re_causal 0.0117 /// teacc 99.07 lr 0.00010000 Epoch 281, weight, value: tensor([[-0.1051, 0.0564, 0.0703, ..., -0.0910, -0.1863, 0.0599], [-0.0905, -0.0595, -0.1130, ..., 0.1831, -0.1051, -0.0798], [-0.0396, 0.0044, 0.2146, ..., -0.1202, -0.1541, -0.1426], ..., [-0.1570, -0.0601, 0.0169, ..., -0.0561, 0.1243, -0.0959], [-0.1098, -0.0958, -0.0785, ..., -0.1445, -0.0063, -0.1727], [-0.1901, -0.0628, -0.1520, ..., -0.1950, -0.0380, 0.1465]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -6.6124e-08, ..., 4.6566e-09, 1.3039e-08, -3.2596e-08], [ 9.3132e-10, 0.0000e+00, 2.7008e-08, ..., -6.9849e-08, 3.7253e-08, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, 4.0047e-08, ..., 1.8626e-08, 5.1223e-08, 4.6566e-09], ..., [ 9.3132e-10, 0.0000e+00, -2.0768e-07, ..., 2.6077e-08, -2.7753e-07, 2.2352e-08], [ 0.0000e+00, 0.0000e+00, 1.1176e-08, ..., 1.0245e-08, -8.3819e-09, 4.6566e-09], [ 6.5193e-09, 0.0000e+00, 4.5635e-08, ..., 9.3132e-10, 5.0291e-08, -4.4703e-08]], device='cuda:0') Epoch 281, bias, value: tensor([-0.0421, -0.0314, 0.0058, 0.0322, -0.0174, 0.0075, -0.0133, 0.0151, 0.0133, -0.0004], device='cuda:0'), grad: tensor([-7.6368e-08, 4.6566e-08, 2.7940e-07, 3.2689e-07, 3.6322e-08, 1.8720e-07, 7.8231e-08, -7.0687e-07, -2.9989e-07, 1.2480e-07], device='cuda:0') 100 0.0001 changing lr epoch 280, time 214.21, cls_loss 0.0009 cls_loss_mapping 0.0021 cls_loss_causal 0.4856 re_mapping 0.0038 re_causal 0.0117 /// teacc 99.04 lr 0.00010000 Epoch 282, weight, value: tensor([[-0.1051, 0.0564, 0.0703, ..., -0.0908, -0.1856, 0.0599], [-0.0908, -0.0595, -0.1153, ..., 0.1805, -0.1085, -0.0799], [-0.0412, 0.0042, 0.2148, ..., -0.1205, -0.1544, -0.1427], ..., [-0.1571, -0.0610, 0.0195, ..., -0.0531, 0.1252, -0.0959], [-0.1098, -0.0959, -0.0786, ..., -0.1445, -0.0064, -0.1730], [-0.1903, -0.0632, -0.1520, ..., -0.1953, -0.0380, 0.1465]], device='cuda:0'), grad: tensor([[ 1.1548e-07, 0.0000e+00, -2.1793e-07, ..., 1.8720e-07, 3.7253e-09, -1.5460e-07], [ 1.2200e-07, 0.0000e+00, 6.8918e-08, ..., -3.0156e-06, 6.5193e-09, 9.3132e-10], [ 1.8263e-06, 0.0000e+00, 6.6031e-07, ..., 2.2743e-06, 1.5832e-08, 1.7695e-08], ..., [ 5.5879e-09, 0.0000e+00, -3.1292e-07, ..., 4.9267e-07, -4.2282e-07, 0.0000e+00], [ 1.1828e-07, 0.0000e+00, 1.5832e-08, ..., 1.4799e-06, -5.2154e-08, 1.4901e-08], [ 2.6077e-08, 0.0000e+00, 5.7742e-07, ..., 4.9360e-07, 3.9116e-07, 6.7055e-08]], device='cuda:0') Epoch 282, bias, value: tensor([-0.0421, -0.0342, 0.0050, 0.0321, -0.0172, 0.0074, -0.0136, 0.0162, 0.0135, -0.0004], device='cuda:0'), grad: tensor([ 1.0524e-07, -6.8732e-06, 6.6012e-06, -6.4261e-08, 7.4506e-06, 5.1595e-07, -1.3947e-05, 4.7684e-07, 2.7530e-06, 2.9318e-06], device='cuda:0') 100 0.0001 changing lr epoch 281, time 214.29, cls_loss 0.0008 cls_loss_mapping 0.0019 cls_loss_causal 0.5131 re_mapping 0.0038 re_causal 0.0114 /// teacc 99.15 lr 0.00010000 Epoch 283, weight, value: tensor([[-0.1051, 0.0564, 0.0703, ..., -0.0907, -0.1860, 0.0600], [-0.0911, -0.0595, -0.1155, ..., 0.1806, -0.1086, -0.0799], [-0.0415, 0.0040, 0.2146, ..., -0.1213, -0.1547, -0.1434], ..., [-0.1576, -0.0614, 0.0197, ..., -0.0532, 0.1252, -0.0959], [-0.1102, -0.0960, -0.0787, ..., -0.1445, -0.0064, -0.1736], [-0.1904, -0.0636, -0.1520, ..., -0.1964, -0.0380, 0.1465]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -3.8464e-07, ..., 1.0245e-08, 9.3132e-10, -6.6310e-07], [ 2.4214e-08, 0.0000e+00, -6.7055e-08, ..., -4.4480e-06, 9.3132e-09, 8.3819e-09], [ 6.8918e-08, 0.0000e+00, 8.1025e-08, ..., 3.4589e-06, 5.7742e-08, 8.3819e-09], ..., [ 1.3970e-08, 0.0000e+00, -6.0536e-08, ..., 7.5530e-07, -9.8720e-08, 7.1712e-08], [ 2.6077e-08, 0.0000e+00, 5.6811e-08, ..., 7.1712e-08, 1.3970e-08, 3.0734e-08], [ 6.4261e-08, 0.0000e+00, 2.6263e-07, ..., 2.2352e-08, 1.2107e-08, 2.1141e-07]], device='cuda:0') Epoch 283, bias, value: tensor([-0.0421, -0.0342, 0.0042, 0.0333, -0.0170, 0.0066, -0.0136, 0.0161, 0.0135, -0.0004], device='cuda:0'), grad: tensor([-1.4314e-06, -9.6336e-06, 7.8008e-06, 3.7998e-07, -2.9802e-08, 9.4995e-08, 2.9244e-07, 1.6773e-06, 1.0896e-07, 7.6275e-07], device='cuda:0') 100 0.0001 changing lr epoch 282, time 214.45, cls_loss 0.0008 cls_loss_mapping 0.0018 cls_loss_causal 0.4744 re_mapping 0.0038 re_causal 0.0114 /// teacc 99.21 lr 0.00010000 Epoch 284, weight, value: tensor([[-0.1052, 0.0564, 0.0704, ..., -0.0907, -0.1862, 0.0600], [-0.0914, -0.0595, -0.1155, ..., 0.1806, -0.1086, -0.0800], [-0.0420, 0.0041, 0.2158, ..., -0.1220, -0.1550, -0.1436], ..., [-0.1579, -0.0616, 0.0195, ..., -0.0532, 0.1252, -0.0959], [-0.1106, -0.0961, -0.0785, ..., -0.1446, -0.0048, -0.1738], [-0.1905, -0.0643, -0.1521, ..., -0.1967, -0.0381, 0.1464]], device='cuda:0'), grad: tensor([[ 8.3819e-09, -6.8918e-08, -2.9430e-07, ..., 0.0000e+00, 0.0000e+00, -1.8347e-07], [ 4.6566e-09, 1.8626e-09, 1.1176e-08, ..., -5.3272e-07, 0.0000e+00, 2.7008e-08], [ 1.0245e-08, 1.8626e-09, 2.6077e-08, ..., 1.6950e-07, 0.0000e+00, 2.7008e-08], ..., [ 1.8626e-09, 1.8626e-09, 5.5879e-09, ..., 2.5425e-07, 0.0000e+00, 2.7008e-07], [-2.3283e-08, 2.2352e-08, 5.3085e-08, ..., 2.2352e-08, 1.8626e-09, 1.3784e-07], [ 1.2107e-08, 3.9116e-08, 9.9652e-08, ..., 2.7940e-09, 0.0000e+00, -3.9767e-07]], device='cuda:0') Epoch 284, bias, value: tensor([-0.0421, -0.0342, 0.0043, 0.0322, -0.0171, 0.0068, -0.0134, 0.0161, 0.0143, -0.0004], device='cuda:0'), grad: tensor([-5.1130e-07, -4.8149e-07, 5.7183e-07, -5.1968e-07, 4.9453e-07, 5.5507e-07, 1.1362e-07, 1.3569e-06, -1.9465e-07, -1.3830e-06], device='cuda:0') 100 0.0001 changing lr epoch 283, time 214.43, cls_loss 0.0005 cls_loss_mapping 0.0017 cls_loss_causal 0.4795 re_mapping 0.0038 re_causal 0.0119 /// teacc 99.05 lr 0.00010000 Epoch 285, weight, value: tensor([[-0.1053, 0.0565, 0.0704, ..., -0.0908, -0.1863, 0.0600], [-0.0916, -0.0595, -0.1155, ..., 0.1807, -0.1086, -0.0801], [-0.0422, 0.0041, 0.2160, ..., -0.1225, -0.1552, -0.1436], ..., [-0.1585, -0.0617, 0.0195, ..., -0.0533, 0.1252, -0.0959], [-0.1105, -0.0962, -0.0787, ..., -0.1446, -0.0049, -0.1740], [-0.1905, -0.0645, -0.1521, ..., -0.1968, -0.0381, 0.1464]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.6566e-09, ..., 0.0000e+00, 0.0000e+00, -4.6566e-09], [ 3.7253e-09, 0.0000e+00, -4.6566e-09, ..., -5.0291e-08, 1.8626e-09, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, -3.4459e-08, ..., 2.4214e-08, 9.3132e-10, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, -1.0245e-08, ..., 1.2107e-08, -2.2352e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., 7.4506e-09, -0.0000e+00, 5.5879e-09], [ 1.2107e-08, 0.0000e+00, 1.5832e-08, ..., 3.7253e-09, 1.7695e-08, -1.0245e-08]], device='cuda:0') Epoch 285, bias, value: tensor([-0.0421, -0.0342, 0.0039, 0.0323, -0.0170, 0.0067, -0.0133, 0.0161, 0.0143, -0.0004], device='cuda:0'), grad: tensor([-3.7253e-09, -8.5682e-08, -2.0489e-08, -6.6124e-08, -1.7695e-08, 3.6042e-07, -3.2596e-07, -8.3819e-09, 1.3225e-07, 4.2841e-08], device='cuda:0') 100 0.0001 changing lr epoch 284, time 214.31, cls_loss 0.0007 cls_loss_mapping 0.0015 cls_loss_causal 0.5057 re_mapping 0.0036 re_causal 0.0116 /// teacc 99.22 lr 0.00010000 Epoch 286, weight, value: tensor([[-0.1054, 0.0565, 0.0704, ..., -0.0908, -0.1869, 0.0600], [-0.0918, -0.0595, -0.1157, ..., 0.1808, -0.1086, -0.0801], [-0.0423, 0.0041, 0.2160, ..., -0.1228, -0.1555, -0.1437], ..., [-0.1590, -0.0617, 0.0199, ..., -0.0534, 0.1252, -0.0959], [-0.1108, -0.0963, -0.0788, ..., -0.1446, -0.0050, -0.1743], [-0.1907, -0.0654, -0.1521, ..., -0.1977, -0.0381, 0.1464]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -4.4703e-08, ..., 1.8626e-08, 4.2841e-08, -3.5390e-08], [ 5.2154e-08, 0.0000e+00, 4.1910e-08, ..., 2.5053e-07, 1.1548e-07, 4.7497e-08], [ 1.1176e-08, 0.0000e+00, 2.7940e-09, ..., 5.8673e-08, 5.5879e-09, 2.7940e-09], ..., [ 9.3132e-10, 0.0000e+00, -1.4901e-07, ..., 3.7253e-09, -4.0326e-07, -1.6950e-07], [ 1.6764e-08, 0.0000e+00, 1.2107e-08, ..., 1.2573e-07, 6.4261e-08, 1.1176e-08], [ 3.7253e-08, 0.0000e+00, 1.0990e-07, ..., 3.7253e-09, 1.9744e-07, 1.1642e-07]], device='cuda:0') Epoch 286, bias, value: tensor([-0.0420, -0.0341, 0.0036, 0.0324, -0.0167, 0.0062, -0.0125, 0.0161, 0.0142, -0.0005], device='cuda:0'), grad: tensor([ 3.4459e-08, 8.0932e-07, 1.6578e-07, 2.4214e-08, 4.7497e-08, 4.5821e-07, -1.5115e-06, -1.1921e-06, 3.8836e-07, 7.6834e-07], device='cuda:0') 100 0.0001 changing lr epoch 285, time 214.15, cls_loss 0.0007 cls_loss_mapping 0.0019 cls_loss_causal 0.4711 re_mapping 0.0036 re_causal 0.0110 /// teacc 99.11 lr 0.00010000 Epoch 287, weight, value: tensor([[-0.1055, 0.0565, 0.0704, ..., -0.0900, -0.1860, 0.0601], [-0.0919, -0.0595, -0.1158, ..., 0.1809, -0.1086, -0.0800], [-0.0423, 0.0041, 0.2164, ..., -0.1230, -0.1557, -0.1438], ..., [-0.1591, -0.0618, 0.0199, ..., -0.0534, 0.1252, -0.0960], [-0.1109, -0.0963, -0.0789, ..., -0.1447, -0.0054, -0.1753], [-0.1908, -0.0655, -0.1521, ..., -0.1989, -0.0381, 0.1465]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, 5.5879e-09, ..., 1.4901e-08, 1.6764e-08, -3.7253e-09], [ 1.6764e-08, 0.0000e+00, 4.8429e-08, ..., 7.0781e-08, 5.5879e-08, 0.0000e+00], [ 3.7253e-09, 0.0000e+00, 7.4506e-08, ..., 2.2352e-08, 9.1270e-08, 0.0000e+00], ..., [ 3.7253e-09, 0.0000e+00, -2.5705e-07, ..., 2.4214e-08, -3.1479e-07, 3.7253e-09], [ 1.8626e-09, 0.0000e+00, 6.7055e-08, ..., 4.4703e-08, 9.3132e-08, 3.7253e-09], [ 4.4703e-08, 0.0000e+00, 3.7253e-08, ..., 3.7253e-09, 4.4703e-08, -5.5879e-09]], device='cuda:0') Epoch 287, bias, value: tensor([-0.0420, -0.0341, 0.0034, 0.0327, -0.0168, 0.0062, -0.0130, 0.0160, 0.0140, -0.0004], device='cuda:0'), grad: tensor([ 1.3970e-07, 7.6555e-07, 3.8557e-07, -1.6596e-06, -1.0245e-07, 1.6205e-07, -1.6764e-08, -4.5449e-07, 5.6811e-07, 1.9744e-07], device='cuda:0') 100 0.0001 changing lr epoch 286, time 214.38, cls_loss 0.0007 cls_loss_mapping 0.0015 cls_loss_causal 0.4478 re_mapping 0.0036 re_causal 0.0111 /// teacc 99.12 lr 0.00010000 Epoch 288, weight, value: tensor([[-0.1055, 0.0566, 0.0705, ..., -0.0907, -0.1856, 0.0601], [-0.0921, -0.0595, -0.1159, ..., 0.1809, -0.1086, -0.0800], [-0.0424, 0.0041, 0.2165, ..., -0.1232, -0.1559, -0.1442], ..., [-0.1591, -0.0618, 0.0205, ..., -0.0535, 0.1253, -0.0961], [-0.1112, -0.0965, -0.0793, ..., -0.1447, -0.0064, -0.1760], [-0.1908, -0.0676, -0.1522, ..., -0.1992, -0.0381, 0.1465]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.4703e-08, ..., 3.7253e-09, 3.7253e-09, -5.4017e-08], [ 1.8626e-09, 0.0000e+00, 1.3784e-07, ..., -1.5832e-07, 3.7253e-08, 2.2352e-08], [ 0.0000e+00, 0.0000e+00, -5.9605e-07, ..., 2.0489e-08, -4.2841e-08, 3.7253e-09], ..., [ 3.7253e-09, 0.0000e+00, 8.7544e-08, ..., 2.9802e-08, -9.3132e-08, 4.0978e-08], [ 1.8626e-09, 0.0000e+00, 2.1607e-07, ..., 5.5879e-08, 1.6019e-07, 6.5193e-08], [-6.4448e-07, 0.0000e+00, 7.8231e-08, ..., 9.3132e-09, 1.0431e-07, -2.0843e-06]], device='cuda:0') Epoch 288, bias, value: tensor([-0.0420, -0.0341, 0.0027, 0.0318, -0.0169, 0.0073, -0.0127, 0.0161, 0.0140, -0.0004], device='cuda:0'), grad: tensor([-6.1467e-08, 2.7940e-08, -9.0711e-07, 6.1840e-07, 5.6140e-06, -1.2685e-06, 4.5076e-07, 1.8254e-07, 7.2643e-07, -5.3719e-06], device='cuda:0') 100 0.0001 changing lr epoch 287, time 214.08, cls_loss 0.0006 cls_loss_mapping 0.0013 cls_loss_causal 0.4736 re_mapping 0.0038 re_causal 0.0117 /// teacc 99.11 lr 0.00010000 Epoch 289, weight, value: tensor([[-0.1056, 0.0566, 0.0705, ..., -0.0909, -0.1858, 0.0601], [-0.0924, -0.0595, -0.1160, ..., 0.1814, -0.1086, -0.0801], [-0.0426, 0.0042, 0.2173, ..., -0.1235, -0.1561, -0.1443], ..., [-0.1591, -0.0619, 0.0208, ..., -0.0535, 0.1253, -0.0961], [-0.1115, -0.0966, -0.0795, ..., -0.1456, -0.0068, -0.1763], [-0.1910, -0.0681, -0.1522, ..., -0.1996, -0.0381, 0.1465]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -7.2271e-07, ..., 5.5879e-09, -8.9407e-08, -4.6380e-07], [ 3.7253e-09, 0.0000e+00, 3.3528e-08, ..., -1.8068e-07, 1.4901e-08, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, -6.8918e-08, ..., 1.6764e-08, 1.1176e-08, 1.8626e-08], ..., [ 1.8626e-09, 0.0000e+00, 1.1176e-08, ..., 5.7742e-08, -7.2643e-08, 2.9802e-08], [ 1.8626e-09, 0.0000e+00, 1.5087e-07, ..., 3.5390e-08, 2.7940e-08, 1.0058e-07], [ 4.4703e-08, 0.0000e+00, 3.2224e-07, ..., 5.5879e-09, 4.6566e-08, 1.6578e-07]], device='cuda:0') Epoch 289, bias, value: tensor([-0.0420, -0.0338, 0.0029, 0.0320, -0.0167, 0.0073, -0.0126, 0.0161, 0.0131, -0.0005], device='cuda:0'), grad: tensor([-1.8440e-06, -3.2224e-07, 7.4506e-09, 3.8184e-07, 1.6205e-07, 1.7323e-07, -2.2352e-08, 9.6858e-08, 4.9919e-07, 8.4750e-07], device='cuda:0') 100 0.0001 changing lr epoch 288, time 214.12, cls_loss 0.0006 cls_loss_mapping 0.0020 cls_loss_causal 0.4895 re_mapping 0.0037 re_causal 0.0118 /// teacc 99.09 lr 0.00010000 Epoch 290, weight, value: tensor([[-0.1056, 0.0567, 0.0706, ..., -0.0909, -0.1862, 0.0601], [-0.0926, -0.0596, -0.1160, ..., 0.1815, -0.1087, -0.0801], [-0.0426, 0.0043, 0.2179, ..., -0.1238, -0.1561, -0.1445], ..., [-0.1591, -0.0620, 0.0208, ..., -0.0535, 0.1253, -0.0961], [-0.1116, -0.0966, -0.0796, ..., -0.1457, -0.0069, -0.1766], [-0.1911, -0.0694, -0.1522, ..., -0.2008, -0.0381, 0.1465]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -4.6566e-08, ..., 1.8626e-09, 3.7253e-09, -6.1467e-08], [ 9.1270e-08, 0.0000e+00, 3.1665e-08, ..., 3.7253e-09, 4.2841e-08, 5.5879e-09], [ 3.7253e-09, 0.0000e+00, -4.2841e-08, ..., 1.8626e-09, 9.3132e-09, 1.8626e-09], ..., [ 4.8429e-08, 0.0000e+00, -9.3132e-08, ..., 1.4901e-08, -1.9372e-07, -1.1176e-08], [ 2.7940e-08, 0.0000e+00, -9.1270e-08, ..., 5.5879e-09, -6.1467e-08, -7.4506e-09], [ 3.5577e-07, 0.0000e+00, 1.7323e-07, ..., 5.5879e-08, 1.8440e-07, 6.1467e-08]], device='cuda:0') Epoch 290, bias, value: tensor([-0.0419, -0.0337, 0.0026, 0.0316, -0.0166, 0.0075, -0.0125, 0.0161, 0.0133, -0.0005], device='cuda:0'), grad: tensor([-5.7742e-08, 3.0734e-07, 1.3597e-07, -1.6838e-06, -8.6613e-07, 1.6112e-06, 4.2841e-08, 1.0990e-07, -1.2219e-06, 1.6317e-06], device='cuda:0') 100 0.0001 changing lr epoch 289, time 214.17, cls_loss 0.0006 cls_loss_mapping 0.0014 cls_loss_causal 0.4826 re_mapping 0.0034 re_causal 0.0116 /// teacc 99.05 lr 0.00010000 Epoch 291, weight, value: tensor([[-0.1058, 0.0571, 0.0706, ..., -0.0910, -0.1860, 0.0602], [-0.0931, -0.0596, -0.1161, ..., 0.1815, -0.1087, -0.0803], [-0.0434, 0.0042, 0.2196, ..., -0.1242, -0.1561, -0.1448], ..., [-0.1591, -0.0621, 0.0208, ..., -0.0536, 0.1253, -0.0961], [-0.1118, -0.0967, -0.0799, ..., -0.1457, -0.0072, -0.1771], [-0.1917, -0.0721, -0.1522, ..., -0.2012, -0.0381, 0.1465]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -7.4506e-09, ..., 1.8626e-09, 0.0000e+00, -1.1176e-08], [ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., -2.9802e-08, 0.0000e+00, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -7.4506e-08, ..., 3.7253e-09, 0.0000e+00, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, 1.1176e-08, ..., 2.4214e-08, 0.0000e+00, 1.8626e-09], [ 1.8626e-09, 0.0000e+00, 5.5879e-08, ..., -8.1956e-08, 2.0489e-08, 1.6764e-08], [ 5.5879e-09, 0.0000e+00, 7.4506e-09, ..., 1.8626e-09, 1.8626e-09, 3.7253e-09]], device='cuda:0') Epoch 291, bias, value: tensor([-0.0419, -0.0337, 0.0032, 0.0316, -0.0161, 0.0074, -0.0129, 0.0160, 0.0133, -0.0005], device='cuda:0'), grad: tensor([ 1.4901e-08, 1.5460e-07, -2.6077e-08, -1.4901e-08, 0.0000e+00, -6.8918e-08, 1.2033e-06, 1.1548e-07, -1.4547e-06, 4.6566e-08], device='cuda:0') 100 0.0001 changing lr epoch 290, time 214.36, cls_loss 0.0007 cls_loss_mapping 0.0022 cls_loss_causal 0.5091 re_mapping 0.0037 re_causal 0.0119 /// teacc 99.11 lr 0.00010000 Epoch 292, weight, value: tensor([[-0.1059, 0.0575, 0.0708, ..., -0.0913, -0.1868, 0.0603], [-0.0934, -0.0596, -0.1164, ..., 0.1819, -0.1087, -0.0806], [-0.0437, 0.0043, 0.2205, ..., -0.1244, -0.1563, -0.1455], ..., [-0.1591, -0.0623, 0.0210, ..., -0.0540, 0.1254, -0.0961], [-0.1124, -0.0972, -0.0801, ..., -0.1457, -0.0077, -0.1777], [-0.1919, -0.0746, -0.1523, ..., -0.2020, -0.0381, 0.1464]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.6566e-08, ..., 5.5879e-09, 0.0000e+00, -4.8429e-08], [ 1.6764e-08, 0.0000e+00, 1.4901e-08, ..., -4.8429e-08, 0.0000e+00, 1.1176e-08], [ 1.8626e-09, 0.0000e+00, -3.9116e-08, ..., 1.4901e-08, 0.0000e+00, 3.7253e-09], ..., [ 1.8626e-09, 0.0000e+00, 9.3132e-09, ..., 2.6077e-08, -1.8626e-09, 3.3528e-08], [ 1.8626e-09, 0.0000e+00, 7.4506e-09, ..., 3.5390e-08, -0.0000e+00, 1.3039e-08], [ 2.2724e-07, 0.0000e+00, 2.0489e-08, ..., 9.3132e-09, 1.8626e-09, -8.5682e-08]], device='cuda:0') Epoch 292, bias, value: tensor([-0.0418, -0.0335, 0.0030, 0.0317, -0.0161, 0.0085, -0.0144, 0.0160, 0.0132, -0.0006], device='cuda:0'), grad: tensor([-1.0803e-07, -4.8429e-08, -2.4214e-08, 1.0058e-07, -1.8626e-07, 2.7567e-07, -2.6822e-07, 1.3970e-07, -6.8918e-08, 1.8254e-07], device='cuda:0') 100 0.0001 changing lr epoch 291, time 214.66, cls_loss 0.0005 cls_loss_mapping 0.0014 cls_loss_causal 0.4920 re_mapping 0.0037 re_causal 0.0120 /// teacc 99.11 lr 0.00010000 Epoch 293, weight, value: tensor([[-0.1060, 0.0575, 0.0713, ..., -0.0882, -0.1871, 0.0609], [-0.0943, -0.0596, -0.1166, ..., 0.1820, -0.1087, -0.0809], [-0.0422, 0.0045, 0.2213, ..., -0.1240, -0.1564, -0.1459], ..., [-0.1592, -0.0623, 0.0211, ..., -0.0541, 0.1254, -0.0961], [-0.1131, -0.0972, -0.0803, ..., -0.1458, -0.0078, -0.1783], [-0.1922, -0.0746, -0.1525, ..., -0.2041, -0.0381, 0.1463]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.6263e-07, ..., -0.0000e+00, 1.3039e-08, -2.2724e-07], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., -6.1467e-08, 3.7253e-09, 1.3039e-08], [ 0.0000e+00, 0.0000e+00, 1.3039e-08, ..., 9.3132e-09, 3.7253e-09, 1.3039e-08], ..., [ 0.0000e+00, 0.0000e+00, -6.7055e-08, ..., 4.8429e-08, -4.7497e-07, 8.9407e-08], [-1.8626e-09, 0.0000e+00, 9.3132e-09, ..., 3.7253e-09, 1.8626e-09, 1.3225e-07], [ 0.0000e+00, 0.0000e+00, 8.3819e-08, ..., 0.0000e+00, 8.9407e-08, -5.0850e-07]], device='cuda:0') Epoch 293, bias, value: tensor([-0.0412, -0.0336, 0.0035, 0.0317, -0.0160, 0.0084, -0.0171, 0.0160, 0.0132, -0.0006], device='cuda:0'), grad: tensor([-4.5449e-07, -5.9605e-08, 5.0291e-08, 3.1665e-07, 1.1325e-06, 6.9290e-07, 1.1176e-08, -5.1036e-07, 4.6194e-07, -1.6391e-06], device='cuda:0') 100 0.0001 changing lr epoch 292, time 214.30, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4472 re_mapping 0.0037 re_causal 0.0113 /// teacc 99.13 lr 0.00010000 Epoch 294, weight, value: tensor([[-0.1062, 0.0576, 0.0713, ..., -0.0881, -0.1870, 0.0609], [-0.0948, -0.0596, -0.1167, ..., 0.1820, -0.1087, -0.0809], [-0.0423, 0.0046, 0.2242, ..., -0.1241, -0.1564, -0.1460], ..., [-0.1594, -0.0625, 0.0210, ..., -0.0541, 0.1254, -0.0961], [-0.1141, -0.0972, -0.0817, ..., -0.1458, -0.0079, -0.1786], [-0.1923, -0.0747, -0.1525, ..., -0.2043, -0.0381, 0.1463]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.4901e-08, ..., 3.7253e-09, 0.0000e+00, -2.2352e-08], [ 3.7253e-09, 0.0000e+00, 9.3132e-09, ..., -3.1665e-08, 1.8626e-09, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, -1.9558e-07, ..., 7.4506e-09, 0.0000e+00, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, 1.3039e-08, ..., 2.6077e-08, -1.3039e-08, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 1.1735e-07, ..., 2.9802e-08, 3.7253e-09, 7.4506e-09], [ 2.4214e-08, 0.0000e+00, 1.1176e-08, ..., 3.7253e-09, 5.5879e-09, -1.3039e-08]], device='cuda:0') Epoch 294, bias, value: tensor([-0.0412, -0.0335, 0.0054, 0.0315, -0.0159, 0.0081, -0.0168, 0.0160, 0.0129, -0.0007], device='cuda:0'), grad: tensor([-3.3528e-08, -3.3528e-08, -3.3714e-07, 9.8720e-08, 7.4506e-09, -9.3132e-09, -9.8720e-08, 8.5682e-08, 2.7753e-07, 1.6764e-08], device='cuda:0') 100 0.0001 changing lr epoch 293, time 214.20, cls_loss 0.0008 cls_loss_mapping 0.0022 cls_loss_causal 0.5004 re_mapping 0.0036 re_causal 0.0114 /// teacc 98.97 lr 0.00010000 Epoch 295, weight, value: tensor([[-0.1063, 0.0576, 0.0713, ..., -0.0881, -0.1874, 0.0609], [-0.0950, -0.0597, -0.1182, ..., 0.1820, -0.1087, -0.0811], [-0.0425, 0.0046, 0.2267, ..., -0.1232, -0.1566, -0.1461], ..., [-0.1594, -0.0629, 0.0210, ..., -0.0541, 0.1254, -0.0962], [-0.1144, -0.0973, -0.0818, ..., -0.1460, -0.0081, -0.1789], [-0.1927, -0.0747, -0.1525, ..., -0.2046, -0.0381, 0.1465]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, 3.7253e-08, ..., 7.4506e-09, 1.8626e-09, -3.7253e-09], [ 7.4506e-09, 0.0000e+00, 1.1455e-06, ..., 3.5018e-06, 1.6950e-07, 5.1036e-06], [ 3.7253e-09, 0.0000e+00, -3.5707e-06, ..., -5.2527e-07, 8.1956e-08, 3.7253e-09], ..., [ 3.7253e-09, 0.0000e+00, 5.1036e-07, ..., 7.4506e-08, -5.4948e-07, 8.1956e-08], [-6.2212e-07, 0.0000e+00, 1.0692e-06, ..., 6.1467e-08, 3.7253e-08, -4.9546e-07], [ 3.7253e-08, 0.0000e+00, 9.6858e-08, ..., -6.0536e-06, 1.2107e-07, -9.8348e-06]], device='cuda:0') Epoch 295, bias, value: tensor([-0.0412, -0.0337, 0.0074, 0.0316, -0.0164, 0.0079, -0.0167, 0.0160, 0.0128, -0.0005], device='cuda:0'), grad: tensor([ 1.0617e-07, 1.9118e-05, -5.5283e-06, 1.9185e-07, 1.5691e-05, 3.3900e-07, 3.4217e-06, 8.1956e-08, -1.5758e-06, -3.1918e-05], device='cuda:0') 100 0.0001 changing lr epoch 294, time 214.45, cls_loss 0.0006 cls_loss_mapping 0.0014 cls_loss_causal 0.4490 re_mapping 0.0037 re_causal 0.0111 /// teacc 98.94 lr 0.00010000 Epoch 296, weight, value: tensor([[-0.1063, 0.0576, 0.0714, ..., -0.0881, -0.1876, 0.0610], [-0.0953, -0.0597, -0.1189, ..., 0.1820, -0.1088, -0.0813], [-0.0427, 0.0046, 0.2280, ..., -0.1232, -0.1569, -0.1466], ..., [-0.1595, -0.0630, 0.0187, ..., -0.0541, 0.1253, -0.0962], [-0.1145, -0.0973, -0.0797, ..., -0.1464, -0.0054, -0.1792], [-0.1915, -0.0747, -0.1526, ..., -0.2039, -0.0382, 0.1468]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -7.6368e-08, ..., 1.8626e-09, 1.8626e-09, -7.6368e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., -2.4214e-08, 3.7253e-09, 1.1176e-08], [ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., 5.5879e-09, 1.8626e-09, 3.7253e-09], ..., [ 0.0000e+00, 0.0000e+00, -7.4506e-09, ..., 9.3132e-09, -1.1176e-08, 1.1176e-08], [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., 7.4506e-09, 9.3132e-09, 1.6764e-08], [ 3.7253e-09, 0.0000e+00, 5.0291e-08, ..., -3.7253e-09, 1.4901e-08, 2.0489e-08]], device='cuda:0') Epoch 296, bias, value: tensor([-0.0411, -0.0339, 0.0083, 0.0315, -0.0183, 0.0077, -0.0161, 0.0158, 0.0132, -0.0003], device='cuda:0'), grad: tensor([-1.2852e-07, 2.7940e-08, 2.4773e-07, -4.9174e-07, 2.0489e-08, -1.6019e-07, 1.4529e-07, 6.8918e-08, 2.5705e-07, 1.4901e-08], device='cuda:0') 100 0.0001 changing lr epoch 295, time 214.39, cls_loss 0.0008 cls_loss_mapping 0.0016 cls_loss_causal 0.5165 re_mapping 0.0034 re_causal 0.0114 /// teacc 99.12 lr 0.00010000 Epoch 297, weight, value: tensor([[-0.1064, 0.0576, 0.0713, ..., -0.0881, -0.1881, 0.0607], [-0.0958, -0.0597, -0.1190, ..., 0.1821, -0.1088, -0.0814], [-0.0440, 0.0046, 0.2285, ..., -0.1238, -0.1572, -0.1469], ..., [-0.1598, -0.0630, 0.0187, ..., -0.0542, 0.1254, -0.0962], [-0.1148, -0.0973, -0.0798, ..., -0.1465, -0.0055, -0.1792], [-0.1923, -0.0747, -0.1525, ..., -0.2041, -0.0382, 0.1471]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -6.1467e-08, -4.8056e-07, ..., 3.7253e-09, 0.0000e+00, -1.0133e-06], [ 1.8626e-09, 1.8626e-09, 9.3132e-09, ..., -6.8173e-07, 1.8626e-09, 1.4901e-08], [ 0.0000e+00, 1.8626e-09, -2.7381e-07, ..., 2.9989e-07, 1.8626e-09, 3.5390e-08], ..., [ 0.0000e+00, 5.5879e-09, 7.0781e-08, ..., 3.1292e-07, -5.5879e-09, 9.4995e-08], [ 0.0000e+00, 3.7253e-09, 1.2666e-07, ..., 2.9802e-08, 0.0000e+00, 5.9605e-08], [ 9.3132e-09, 2.0489e-08, 2.8685e-07, ..., 1.6764e-08, 1.8626e-09, 4.3213e-07]], device='cuda:0') Epoch 297, bias, value: tensor([-0.0414, -0.0339, 0.0081, 0.0318, -0.0178, 0.0076, -0.0159, 0.0158, 0.0130, -0.0002], device='cuda:0'), grad: tensor([-2.8759e-06, -1.6596e-06, 4.0606e-07, 1.0151e-06, 8.7544e-08, 1.9185e-07, 3.7253e-08, 1.1101e-06, 4.1537e-07, 1.2554e-06], device='cuda:0') 100 0.0001 changing lr epoch 296, time 214.40, cls_loss 0.0007 cls_loss_mapping 0.0016 cls_loss_causal 0.4731 re_mapping 0.0037 re_causal 0.0112 /// teacc 99.07 lr 0.00010000 Epoch 298, weight, value: tensor([[-0.1066, 0.0576, 0.0713, ..., -0.0881, -0.1882, 0.0607], [-0.0959, -0.0597, -0.1190, ..., 0.1822, -0.1088, -0.0815], [-0.0442, 0.0046, 0.2289, ..., -0.1240, -0.1577, -0.1472], ..., [-0.1599, -0.0630, 0.0188, ..., -0.0542, 0.1254, -0.0962], [-0.1151, -0.0973, -0.0798, ..., -0.1466, -0.0056, -0.1796], [-0.1924, -0.0748, -0.1525, ..., -0.2044, -0.0382, 0.1471]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.4703e-08, ..., 0.0000e+00, 3.7253e-09, -4.8429e-08], [ 1.8626e-09, 0.0000e+00, 2.4214e-08, ..., -2.2352e-08, 2.6077e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 7.8231e-08, ..., 3.7253e-09, 9.4995e-08, 1.8626e-09], ..., [ 0.0000e+00, 0.0000e+00, -2.0862e-07, ..., 1.1176e-08, -2.0489e-07, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, 1.8626e-08, ..., 3.7253e-09, 1.1176e-08, 3.7253e-09], [ 9.3132e-09, 0.0000e+00, 9.6858e-08, ..., 0.0000e+00, 5.7742e-08, 3.1665e-08]], device='cuda:0') Epoch 298, bias, value: tensor([-0.0414, -0.0337, 0.0081, 0.0304, -0.0178, 0.0092, -0.0158, 0.0158, 0.0129, -0.0002], device='cuda:0'), grad: tensor([-8.9407e-08, 3.3528e-08, 1.2293e-07, 1.7881e-07, 1.3039e-08, 4.4703e-08, 9.3132e-09, -3.8184e-07, -1.6205e-07, 2.2538e-07], device='cuda:0') 100 0.0001 changing lr epoch 297, time 214.21, cls_loss 0.0008 cls_loss_mapping 0.0020 cls_loss_causal 0.4725 re_mapping 0.0035 re_causal 0.0110 /// teacc 99.02 lr 0.00010000 Epoch 299, weight, value: tensor([[-0.1068, 0.0576, 0.0713, ..., -0.0887, -0.1887, 0.0606], [-0.0962, -0.0597, -0.1192, ..., 0.1826, -0.1088, -0.0817], [-0.0444, 0.0046, 0.2287, ..., -0.1251, -0.1599, -0.1474], ..., [-0.1600, -0.0630, 0.0193, ..., -0.0546, 0.1255, -0.0962], [-0.1155, -0.0973, -0.0799, ..., -0.1466, -0.0057, -0.1800], [-0.1925, -0.0748, -0.1526, ..., -0.2072, -0.0382, 0.1471]], device='cuda:0'), grad: tensor([[ 1.8626e-08, 0.0000e+00, -5.2899e-07, ..., 9.3132e-09, 5.5879e-09, -4.3772e-07], [ 5.9605e-08, 0.0000e+00, 1.6764e-08, ..., -1.3039e-08, 2.9802e-08, 5.5879e-09], [ 6.1467e-08, 0.0000e+00, 7.6368e-08, ..., 2.2352e-08, 2.4214e-08, 7.8231e-08], ..., [ 6.3330e-08, 0.0000e+00, -3.7253e-08, ..., 1.3039e-08, -3.3528e-08, 9.3132e-09], [ 3.9116e-08, 0.0000e+00, 4.8429e-08, ..., 2.9802e-08, 6.1467e-08, 4.0978e-08], [ 1.0245e-07, 0.0000e+00, 1.8068e-07, ..., 1.8626e-09, 4.4703e-08, 2.0489e-08]], device='cuda:0') Epoch 299, bias, value: tensor([-0.0416, -0.0335, 0.0074, 0.0316, -0.0178, 0.0082, -0.0142, 0.0157, 0.0129, -0.0003], device='cuda:0'), grad: tensor([-1.2945e-06, 1.3597e-07, 3.9116e-07, 1.4529e-07, -4.6939e-07, 3.3900e-07, -2.7381e-07, 6.1467e-08, 4.8801e-07, 4.5449e-07], device='cuda:0') 100 0.0001 changing lr epoch 298, time 214.12, cls_loss 0.0006 cls_loss_mapping 0.0016 cls_loss_causal 0.4944 re_mapping 0.0037 re_causal 0.0117 /// teacc 99.12 lr 0.00010000 Epoch 300, weight, value: tensor([[-0.1071, 0.0576, 0.0718, ..., -0.0886, -0.1846, 0.0612], [-0.0965, -0.0597, -0.1195, ..., 0.1826, -0.1089, -0.0819], [-0.0447, 0.0046, 0.2285, ..., -0.1254, -0.1611, -0.1476], ..., [-0.1601, -0.0630, 0.0200, ..., -0.0547, 0.1256, -0.0962], [-0.1157, -0.0973, -0.0797, ..., -0.1466, -0.0054, -0.1790], [-0.1926, -0.0748, -0.1531, ..., -0.2073, -0.0386, 0.1466]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, 1.3039e-08, ..., 2.2352e-08, 3.7253e-09, 2.4214e-08], [ 2.2352e-08, 0.0000e+00, 2.6077e-08, ..., -1.5907e-06, 1.8626e-09, 3.7253e-09], [ 1.4901e-08, 0.0000e+00, -3.1292e-07, ..., 4.6007e-07, 0.0000e+00, 3.7253e-09], ..., [ 1.8626e-09, 0.0000e+00, 1.6764e-08, ..., 3.6508e-07, 1.8626e-09, 1.0431e-07], [ 1.8626e-09, 0.0000e+00, 4.6566e-08, ..., 1.9744e-07, 3.7253e-09, 1.8626e-08], [ 3.1665e-08, 0.0000e+00, 7.4506e-09, ..., 5.7742e-08, -1.1176e-08, -1.7323e-07]], device='cuda:0') Epoch 300, bias, value: tensor([-0.0411, -0.0335, 0.0069, 0.0316, -0.0178, 0.0079, -0.0143, 0.0158, 0.0131, -0.0007], device='cuda:0'), grad: tensor([ 2.1607e-07, -3.7905e-06, 4.7684e-07, -8.7544e-08, -2.3730e-06, 4.4145e-07, 3.4273e-06, 1.1548e-06, 6.1467e-07, -8.3819e-08], device='cuda:0') 100 0.0001 changing lr epoch 299, time 214.18, cls_loss 0.0007 cls_loss_mapping 0.0014 cls_loss_causal 0.4343 re_mapping 0.0037 re_causal 0.0112 /// teacc 99.10 lr 0.00010000 Epoch 301, weight, value: tensor([[-0.1073, 0.0576, 0.0718, ..., -0.0887, -0.1846, 0.0612], [-0.0967, -0.0597, -0.1195, ..., 0.1837, -0.1090, -0.0819], [-0.0449, 0.0046, 0.2289, ..., -0.1268, -0.1619, -0.1475], ..., [-0.1603, -0.0630, 0.0212, ..., -0.0547, 0.1257, -0.0962], [-0.1162, -0.0973, -0.0808, ..., -0.1468, -0.0066, -0.1792], [-0.1927, -0.0748, -0.1531, ..., -0.2084, -0.0386, 0.1466]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.1176e-08, ..., 1.8626e-09, 1.8626e-09, -2.1048e-07], [ 7.4506e-09, 0.0000e+00, 5.5879e-09, ..., 3.1665e-08, 1.6764e-08, 1.3039e-08], [ 1.8626e-09, 0.0000e+00, -5.5879e-09, ..., 1.3039e-08, 5.4017e-08, 4.2841e-08], ..., [ 0.0000e+00, 0.0000e+00, -7.4506e-09, ..., 0.0000e+00, -1.3039e-08, 9.3132e-09], [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., -2.5798e-06, 7.4506e-09, 1.8626e-08], [ 4.2841e-08, 0.0000e+00, 9.3132e-09, ..., 1.8626e-09, 1.3039e-08, 4.4703e-08]], device='cuda:0') Epoch 301, bias, value: tensor([-0.0411, -0.0328, 0.0066, 0.0316, -0.0177, 0.0081, -0.0156, 0.0159, 0.0126, -0.0007], device='cuda:0'), grad: tensor([-2.3469e-07, 3.2969e-07, 4.3213e-07, 3.2410e-07, -7.2643e-08, -5.5134e-07, 1.2837e-05, 7.4506e-09, -1.3247e-05, 1.7881e-07], device='cuda:0') 100 0.0001 changing lr epoch 300, time 214.57, cls_loss 0.0007 cls_loss_mapping 0.0021 cls_loss_causal 0.4560 re_mapping 0.0037 re_causal 0.0110 /// teacc 99.00 lr 0.00010000 Epoch 302, weight, value: tensor([[-0.1076, 0.0576, 0.0719, ..., -0.0888, -0.1846, 0.0612], [-0.0969, -0.0597, -0.1205, ..., 0.1838, -0.1090, -0.0823], [-0.0451, 0.0046, 0.2313, ..., -0.1275, -0.1622, -0.1479], ..., [-0.1604, -0.0630, 0.0204, ..., -0.0548, 0.1258, -0.0962], [-0.1165, -0.0973, -0.0808, ..., -0.1469, -0.0065, -0.1795], [-0.1930, -0.0748, -0.1532, ..., -0.2086, -0.0387, 0.1466]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 2.0489e-06, ..., 8.1956e-08, 0.0000e+00, 7.8976e-07], [ 0.0000e+00, 0.0000e+00, 1.1921e-07, ..., -1.4342e-07, 2.7008e-07, 2.9802e-08], [ 0.0000e+00, 0.0000e+00, -4.2692e-06, ..., 1.3411e-07, 3.7253e-09, -1.6745e-06], ..., [ 0.0000e+00, 0.0000e+00, 4.6566e-08, ..., 9.3132e-09, -4.7497e-07, 6.5193e-08], [ 1.8626e-09, 0.0000e+00, 1.0394e-06, ..., 1.3970e-07, 9.3132e-09, 4.5635e-07], [ 0.0000e+00, 0.0000e+00, 1.8999e-07, ..., 3.7253e-09, 1.5460e-07, 5.5879e-09]], device='cuda:0') Epoch 302, bias, value: tensor([-0.0411, -0.0330, 0.0080, 0.0313, -0.0183, 0.0080, -0.0149, 0.0158, 0.0127, -0.0007], device='cuda:0'), grad: tensor([ 4.0755e-06, 4.6566e-08, -7.0632e-06, 1.0394e-06, 1.9372e-07, 4.3958e-07, -6.5751e-07, -6.3889e-07, 2.2966e-06, 2.5518e-07], device='cuda:0') 100 0.0001 changing lr epoch 301, time 214.44, cls_loss 0.0007 cls_loss_mapping 0.0012 cls_loss_causal 0.4651 re_mapping 0.0036 re_causal 0.0108 /// teacc 99.07 lr 0.00010000 Epoch 303, weight, value: tensor([[-0.1078, 0.0576, 0.0719, ..., -0.0889, -0.1846, 0.0613], [-0.0971, -0.0597, -0.1207, ..., 0.1839, -0.1090, -0.0824], [-0.0453, 0.0046, 0.2318, ..., -0.1277, -0.1627, -0.1482], ..., [-0.1605, -0.0630, 0.0204, ..., -0.0548, 0.1258, -0.0962], [-0.1168, -0.0973, -0.0809, ..., -0.1472, -0.0069, -0.1803], [-0.1933, -0.0748, -0.1532, ..., -0.2088, -0.0387, 0.1466]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.3132e-09, ..., 1.3039e-08, 1.8626e-09, -9.3132e-09], [ 1.8626e-09, 0.0000e+00, 1.3039e-08, ..., -1.4901e-08, 3.3528e-08, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., 3.7253e-09, 5.5879e-09, 1.8626e-09], ..., [ 1.8626e-09, 0.0000e+00, -7.0781e-08, ..., 1.1176e-08, -1.5274e-07, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 1.1176e-08, ..., 1.8626e-08, 4.6566e-08, 3.1665e-08], [ 3.5390e-08, 0.0000e+00, 4.2841e-08, ..., 1.8626e-09, 9.6858e-08, 0.0000e+00]], device='cuda:0') Epoch 303, bias, value: tensor([-0.0410, -0.0330, 0.0081, 0.0308, -0.0182, 0.0071, -0.0136, 0.0158, 0.0123, -0.0007], device='cuda:0'), grad: tensor([ 6.4634e-07, 3.3341e-07, 1.1362e-07, 2.9430e-06, 1.8626e-08, -6.5565e-07, 6.5379e-07, -1.9744e-07, -4.2953e-06, 4.1164e-07], device='cuda:0') 100 0.0001 changing lr epoch 302, time 214.33, cls_loss 0.0007 cls_loss_mapping 0.0019 cls_loss_causal 0.4687 re_mapping 0.0036 re_causal 0.0107 /// teacc 99.07 lr 0.00010000 Epoch 304, weight, value: tensor([[-0.1107, 0.0576, 0.0719, ..., -0.0889, -0.1846, 0.0613], [-0.0985, -0.0597, -0.1210, ..., 0.1840, -0.1091, -0.0829], [-0.0461, 0.0046, 0.2315, ..., -0.1286, -0.1644, -0.1486], ..., [-0.1605, -0.0630, 0.0213, ..., -0.0549, 0.1259, -0.0963], [-0.1172, -0.0973, -0.0810, ..., -0.1472, -0.0070, -0.1808], [-0.1940, -0.0748, -0.1532, ..., -0.2081, -0.0387, 0.1467]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.3039e-08, ..., 3.7253e-09, 1.8626e-09, 5.0291e-08], [ 0.0000e+00, 0.0000e+00, 2.4214e-08, ..., 0.0000e+00, 4.0978e-08, 1.3039e-08], [ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 3.7253e-09, 7.4506e-09, 3.7253e-09], ..., [ 0.0000e+00, 0.0000e+00, -4.2841e-08, ..., 1.8626e-09, -5.0291e-08, 3.5390e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 1.3039e-08, 2.6077e-08, 4.4703e-08], [ 0.0000e+00, 0.0000e+00, 1.6764e-08, ..., 0.0000e+00, 4.4703e-08, -8.9407e-08]], device='cuda:0') Epoch 304, bias, value: tensor([-0.0411, -0.0331, 0.0075, 0.0306, -0.0180, 0.0070, -0.0135, 0.0159, 0.0125, -0.0007], device='cuda:0'), grad: tensor([ 3.7123e-06, 1.6205e-07, 7.2643e-08, -5.9679e-06, 2.1979e-07, -1.4156e-07, 9.6858e-08, 3.7253e-09, 1.9018e-06, -6.5193e-08], device='cuda:0') 100 0.0001 changing lr epoch 303, time 214.53, cls_loss 0.0007 cls_loss_mapping 0.0014 cls_loss_causal 0.4840 re_mapping 0.0035 re_causal 0.0112 /// teacc 99.07 lr 0.00010000 Epoch 305, weight, value: tensor([[-0.1131, 0.0576, 0.0720, ..., -0.0890, -0.1847, 0.0613], [-0.1014, -0.0597, -0.1213, ..., 0.1841, -0.1092, -0.0831], [-0.0477, 0.0046, 0.2324, ..., -0.1291, -0.1649, -0.1490], ..., [-0.1607, -0.0630, 0.0210, ..., -0.0549, 0.1260, -0.0963], [-0.1178, -0.0973, -0.0811, ..., -0.1473, -0.0070, -0.1812], [-0.1941, -0.0748, -0.1532, ..., -0.2082, -0.0387, 0.1467]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -1.2871e-06, ..., 1.4901e-08, 1.3039e-08, -1.4696e-06], [ 1.8626e-09, 0.0000e+00, 2.0489e-08, ..., -5.4017e-08, 1.1176e-08, 1.1176e-08], [ 0.0000e+00, 0.0000e+00, 2.9802e-08, ..., 7.4506e-09, 1.3039e-08, 2.0489e-08], ..., [ 0.0000e+00, 0.0000e+00, -1.6764e-08, ..., 2.0489e-08, -4.4703e-08, 7.4506e-09], [ 0.0000e+00, 0.0000e+00, 5.0291e-08, ..., 1.1176e-08, 3.7253e-09, 5.4017e-08], [ 5.5879e-09, 0.0000e+00, 4.0233e-07, ..., 3.7253e-09, 1.1176e-08, 4.5821e-07]], device='cuda:0') Epoch 305, bias, value: tensor([-0.0411, -0.0332, 0.0077, 0.0303, -0.0176, 0.0071, -0.0134, 0.0158, 0.0125, -0.0007], device='cuda:0'), grad: tensor([-2.7306e-06, -2.2352e-08, 1.0990e-07, 3.0361e-07, 7.4506e-09, 1.8999e-07, 1.3597e-06, -2.9802e-08, -1.0803e-07, 9.1642e-07], device='cuda:0') 100 0.0001 changing lr epoch 304, time 214.41, cls_loss 0.0007 cls_loss_mapping 0.0018 cls_loss_causal 0.5106 re_mapping 0.0034 re_causal 0.0109 /// teacc 99.07 lr 0.00010000 Epoch 306, weight, value: tensor([[-0.1133, 0.0576, 0.0720, ..., -0.0890, -0.1847, 0.0614], [-0.1018, -0.0597, -0.1214, ..., 0.1841, -0.1092, -0.0833], [-0.0477, 0.0046, 0.2327, ..., -0.1293, -0.1651, -0.1493], ..., [-0.1608, -0.0630, 0.0209, ..., -0.0550, 0.1260, -0.0963], [-0.1183, -0.0973, -0.0813, ..., -0.1473, -0.0070, -0.1820], [-0.1944, -0.0748, -0.1533, ..., -0.2090, -0.0387, 0.1468]], device='cuda:0'), grad: tensor([[ 1.3039e-08, 0.0000e+00, -1.1735e-07, ..., 7.4506e-09, 0.0000e+00, -8.3819e-08], [ 1.2852e-07, 0.0000e+00, 3.5390e-08, ..., -2.4214e-07, 2.9802e-08, 3.7253e-08], [ 1.8626e-08, 0.0000e+00, -3.5390e-08, ..., 2.7940e-08, 2.6077e-08, 5.5879e-09], ..., [ 5.0291e-08, 0.0000e+00, -1.0245e-07, ..., 9.1270e-08, -1.4901e-07, 4.8429e-08], [ 1.4901e-08, 0.0000e+00, 1.8626e-08, ..., 9.3132e-08, 5.5879e-09, 9.8720e-08], [ 1.2964e-06, 0.0000e+00, 1.4715e-07, ..., 3.5390e-08, 7.2643e-08, -2.4587e-07]], device='cuda:0') Epoch 306, bias, value: tensor([-0.0411, -0.0332, 0.0078, 0.0303, -0.0175, 0.0069, -0.0135, 0.0158, 0.0125, -0.0007], device='cuda:0'), grad: tensor([-1.5646e-07, -2.0303e-07, 1.0990e-07, 1.3039e-07, -2.5071e-06, 2.3283e-07, 1.6205e-07, 9.6858e-08, 3.4273e-07, 1.7788e-06], device='cuda:0') 100 0.0001 changing lr epoch 305, time 215.90, cls_loss 0.0007 cls_loss_mapping 0.0017 cls_loss_causal 0.4903 re_mapping 0.0037 re_causal 0.0113 /// teacc 99.03 lr 0.00010000 Epoch 307, weight, value: tensor([[-0.1134, 0.0576, 0.0721, ..., -0.0891, -0.1847, 0.0614], [-0.1021, -0.0597, -0.1214, ..., 0.1843, -0.1093, -0.0835], [-0.0481, 0.0046, 0.2330, ..., -0.1309, -0.1655, -0.1496], ..., [-0.1610, -0.0630, 0.0210, ..., -0.0550, 0.1264, -0.0964], [-0.1191, -0.0973, -0.0816, ..., -0.1474, -0.0072, -0.1831], [-0.1947, -0.0748, -0.1533, ..., -0.2091, -0.0388, 0.1467]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -1.8626e-09, 2.0862e-07, ..., 2.3283e-08, 8.1584e-06, 1.6123e-05], [ 0.0000e+00, 0.0000e+00, 3.9861e-07, ..., 1.8626e-09, 2.3283e-08, 5.1223e-08], [ 0.0000e+00, 0.0000e+00, -2.3078e-06, ..., -7.1712e-08, 1.0245e-08, 2.1420e-08], ..., [ 0.0000e+00, 0.0000e+00, 1.4063e-06, ..., 6.0536e-08, 6.0536e-08, 1.3318e-07], [ 0.0000e+00, 0.0000e+00, 3.1944e-07, ..., 3.1665e-08, 3.7253e-08, 8.1025e-08], [ 9.3132e-10, 1.8626e-09, 1.0803e-07, ..., 1.8626e-09, 1.0598e-06, 2.1327e-06]], device='cuda:0') Epoch 307, bias, value: tensor([-0.0410, -0.0331, 0.0076, 0.0302, -0.0186, 0.0071, -0.0135, 0.0161, 0.0125, -0.0007], device='cuda:0'), grad: tensor([ 2.4155e-05, 1.3048e-06, -6.9104e-06, 5.0291e-07, 4.1723e-07, -3.0160e-05, 1.9055e-06, 4.4964e-06, 1.0366e-06, 3.2913e-06], device='cuda:0') 100 0.0001 changing lr epoch 306, time 216.37, cls_loss 0.0007 cls_loss_mapping 0.0013 cls_loss_causal 0.4619 re_mapping 0.0037 re_causal 0.0111 /// teacc 99.10 lr 0.00010000 Epoch 308, weight, value: tensor([[-0.1134, 0.0576, 0.0722, ..., -0.0891, -0.1850, 0.0615], [-0.1021, -0.0598, -0.1216, ..., 0.1844, -0.1093, -0.0841], [-0.0482, 0.0057, 0.2365, ..., -0.1311, -0.1629, -0.1498], ..., [-0.1610, -0.0642, 0.0188, ..., -0.0551, 0.1263, -0.0964], [-0.1194, -0.0976, -0.0824, ..., -0.1474, -0.0073, -0.1838], [-0.1948, -0.0748, -0.1534, ..., -0.2093, -0.0388, 0.1467]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -2.4214e-08, ..., 6.5193e-09, 2.5146e-08, 1.1502e-06], [ 4.6566e-09, 0.0000e+00, -2.2165e-07, ..., -9.5181e-07, 9.3132e-09, 1.6764e-07], [ 1.8626e-09, 0.0000e+00, 4.4703e-08, ..., 1.9651e-07, 8.3819e-09, 4.0978e-08], ..., [ 5.5879e-09, 0.0000e+00, 1.4715e-07, ..., 6.5472e-07, 9.3132e-10, 1.4259e-06], [ 1.1176e-08, 0.0000e+00, 1.3970e-08, ..., 4.0978e-08, 5.4948e-08, 1.1735e-07], [ 8.0094e-08, 0.0000e+00, 1.7695e-08, ..., 9.3132e-09, 1.1828e-07, -5.0999e-06]], device='cuda:0') Epoch 308, bias, value: tensor([-0.0410, -0.0331, 0.0109, 0.0301, -0.0186, 0.0076, -0.0137, 0.0159, 0.0121, -0.0008], device='cuda:0'), grad: tensor([ 7.9870e-06, -1.5125e-06, 6.2864e-07, -4.8690e-06, 1.1563e-05, -1.8692e-06, 5.1036e-07, 7.3239e-06, 6.8638e-07, -2.0504e-05], device='cuda:0') 100 0.0001 changing lr epoch 307, time 218.67, cls_loss 0.0005 cls_loss_mapping 0.0015 cls_loss_causal 0.4621 re_mapping 0.0036 re_causal 0.0117 /// teacc 99.05 lr 0.00010000 Epoch 309, weight, value: tensor([[-0.1135, 0.0576, 0.0722, ..., -0.0892, -0.1850, 0.0615], [-0.1023, -0.0598, -0.1244, ..., 0.1825, -0.1112, -0.0842], [-0.0482, 0.0058, 0.2365, ..., -0.1314, -0.1631, -0.1501], ..., [-0.1612, -0.0644, 0.0214, ..., -0.0529, 0.1270, -0.0964], [-0.1198, -0.0977, -0.0825, ..., -0.1475, -0.0075, -0.1841], [-0.1950, -0.0748, -0.1535, ..., -0.2098, -0.0388, 0.1467]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., 2.7940e-09, 9.3132e-10, -2.7940e-09], [ 0.0000e+00, 0.0000e+00, 6.3330e-08, ..., -2.7008e-08, 9.3132e-09, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 5.4389e-07, ..., 1.0245e-08, 4.0513e-07, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -7.4971e-07, ..., 8.3819e-09, -4.8429e-07, 3.5390e-08], [ 0.0000e+00, 0.0000e+00, 3.8184e-08, ..., 6.5193e-09, 1.9558e-08, 2.7940e-09], [ 9.3132e-10, 0.0000e+00, 6.3330e-08, ..., 1.8626e-09, 3.9116e-08, -6.5193e-08]], device='cuda:0') Epoch 309, bias, value: tensor([-0.0410, -0.0352, 0.0107, 0.0299, -0.0185, 0.0079, -0.0138, 0.0170, 0.0120, -0.0008], device='cuda:0'), grad: tensor([ 1.7695e-08, 9.3132e-08, 8.8569e-07, -3.5390e-08, 1.1176e-07, 5.1223e-08, 5.5879e-09, -1.0850e-06, 5.0291e-08, -8.6613e-08], device='cuda:0') 100 0.0001 changing lr epoch 308, time 215.04, cls_loss 0.0006 cls_loss_mapping 0.0018 cls_loss_causal 0.4690 re_mapping 0.0037 re_causal 0.0113 /// teacc 99.14 lr 0.00010000 Epoch 310, weight, value: tensor([[-0.1135, 0.0576, 0.0723, ..., -0.0892, -0.1850, 0.0616], [-0.1024, -0.0598, -0.1245, ..., 0.1828, -0.1113, -0.0844], [-0.0481, 0.0058, 0.2361, ..., -0.1334, -0.1643, -0.1502], ..., [-0.1613, -0.0644, 0.0222, ..., -0.0531, 0.1271, -0.0964], [-0.1199, -0.0977, -0.0826, ..., -0.1475, -0.0077, -0.1843], [-0.1951, -0.0748, -0.1535, ..., -0.2100, -0.0388, 0.1466]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, -1.3970e-08, ..., 8.3819e-09, 1.8626e-09, -1.3039e-08], [ 2.7940e-08, 0.0000e+00, 3.8184e-08, ..., -1.8626e-09, 1.8626e-08, 3.7253e-09], [ 2.7940e-09, 0.0000e+00, -3.1013e-07, ..., 3.1665e-08, 1.8626e-09, 1.8626e-09], ..., [ 4.6566e-09, 0.0000e+00, 1.4715e-07, ..., 3.7253e-09, -6.2399e-08, -2.7940e-09], [ 4.6566e-09, 0.0000e+00, 3.2596e-08, ..., 1.8626e-08, 5.5879e-09, 1.8626e-09], [ 1.2033e-06, 0.0000e+00, 6.1467e-08, ..., 0.0000e+00, 7.1712e-08, -5.5879e-09]], device='cuda:0') Epoch 310, bias, value: tensor([-0.0409, -0.0350, 0.0098, 0.0298, -0.0185, 0.0076, -0.0138, 0.0170, 0.0121, -0.0009], device='cuda:0'), grad: tensor([ 6.5193e-09, 1.6205e-07, -5.4203e-07, -5.9605e-08, -2.4252e-06, 7.9162e-08, -1.4901e-07, 3.3993e-07, 1.4249e-07, 2.4512e-06], device='cuda:0') 100 0.0001 changing lr epoch 309, time 215.27, cls_loss 0.0006 cls_loss_mapping 0.0013 cls_loss_causal 0.4654 re_mapping 0.0035 re_causal 0.0110 /// teacc 99.22 lr 0.00010000 Epoch 311, weight, value: tensor([[-0.1136, 0.0576, 0.0725, ..., -0.0892, -0.1851, 0.0617], [-0.1028, -0.0598, -0.1246, ..., 0.1829, -0.1113, -0.0848], [-0.0483, 0.0058, 0.2363, ..., -0.1336, -0.1643, -0.1506], ..., [-0.1614, -0.0644, 0.0221, ..., -0.0532, 0.1272, -0.0964], [-0.1202, -0.0977, -0.0827, ..., -0.1476, -0.0078, -0.1849], [-0.1967, -0.0748, -0.1536, ..., -0.2104, -0.0388, 0.1466]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -8.3819e-09, ..., 3.7253e-09, 0.0000e+00, -7.4506e-09], [ 0.0000e+00, 0.0000e+00, 1.3039e-08, ..., -2.7940e-09, 7.4506e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -2.7008e-08, ..., 9.3132e-10, 7.4506e-09, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -8.0094e-08, ..., 1.8626e-09, -8.7544e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 2.1420e-08, ..., 2.7940e-09, 1.1176e-08, 3.7253e-09], [ 1.8626e-09, 0.0000e+00, 6.8918e-08, ..., 0.0000e+00, 5.1223e-08, -9.3132e-09]], device='cuda:0') Epoch 311, bias, value: tensor([-0.0408, -0.0349, 0.0098, 0.0298, -0.0178, 0.0074, -0.0138, 0.0170, 0.0120, -0.0010], device='cuda:0'), grad: tensor([-9.3132e-10, 3.1665e-08, -2.0489e-08, 2.1420e-08, 3.0734e-08, 2.9802e-08, -1.6764e-08, -2.0023e-07, 7.4506e-09, 1.0990e-07], device='cuda:0') 100 0.0001 changing lr epoch 310, time 214.45, cls_loss 0.0007 cls_loss_mapping 0.0012 cls_loss_causal 0.4786 re_mapping 0.0035 re_causal 0.0106 /// teacc 99.11 lr 0.00010000 Epoch 312, weight, value: tensor([[-0.1137, 0.0576, 0.0725, ..., -0.0893, -0.1852, 0.0618], [-0.1030, -0.0598, -0.1247, ..., 0.1829, -0.1114, -0.0850], [-0.0486, 0.0059, 0.2368, ..., -0.1339, -0.1644, -0.1506], ..., [-0.1616, -0.0645, 0.0222, ..., -0.0532, 0.1273, -0.0965], [-0.1207, -0.0977, -0.0825, ..., -0.1477, -0.0080, -0.1853], [-0.1971, -0.0748, -0.1538, ..., -0.2109, -0.0389, 0.1466]], device='cuda:0'), grad: tensor([[ 4.7497e-08, 0.0000e+00, -2.8871e-08, ..., 2.6729e-07, 9.3132e-10, -1.5274e-07], [ 7.3947e-07, 0.0000e+00, 2.8592e-07, ..., -4.1910e-08, 7.4506e-09, 2.6450e-07], [ 1.1176e-08, 0.0000e+00, -2.8554e-06, ..., 2.7008e-08, 1.8626e-09, 1.3039e-08], ..., [ 3.9116e-08, 0.0000e+00, 4.3586e-07, ..., 9.4995e-08, -2.9802e-08, 2.0489e-08], [ 3.1665e-08, 0.0000e+00, 1.3774e-06, ..., 1.5832e-07, 6.5193e-09, 7.0781e-08], [ 2.0582e-06, 0.0000e+00, 1.3225e-07, ..., 5.5321e-07, 1.4901e-08, 3.6042e-07]], device='cuda:0') Epoch 312, bias, value: tensor([-0.0408, -0.0350, 0.0097, 0.0295, -0.0174, 0.0075, -0.0139, 0.0170, 0.0122, -0.0011], device='cuda:0'), grad: tensor([ 7.6648e-07, 1.4883e-06, -5.3383e-06, 1.1548e-07, -4.9770e-06, 4.4517e-07, -1.5432e-06, 1.3597e-06, 3.3956e-06, 4.2468e-06], device='cuda:0') 100 0.0001 changing lr epoch 311, time 214.69, cls_loss 0.0006 cls_loss_mapping 0.0015 cls_loss_causal 0.4689 re_mapping 0.0035 re_causal 0.0106 /// teacc 99.05 lr 0.00010000 Epoch 313, weight, value: tensor([[-0.1138, 0.0576, 0.0726, ..., -0.0893, -0.1852, 0.0618], [-0.1036, -0.0598, -0.1247, ..., 0.1830, -0.1114, -0.0853], [-0.0489, 0.0059, 0.2373, ..., -0.1342, -0.1644, -0.1511], ..., [-0.1619, -0.0645, 0.0223, ..., -0.0533, 0.1274, -0.0965], [-0.1213, -0.0977, -0.0828, ..., -0.1478, -0.0081, -0.1860], [-0.1973, -0.0748, -0.1538, ..., -0.2114, -0.0389, 0.1466]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 3.0827e-07, ..., 9.3132e-10, 1.0245e-08, 6.6962e-07], [ 0.0000e+00, 0.0000e+00, -6.6496e-07, ..., -1.1642e-06, 1.3039e-08, 2.7008e-08], [ 0.0000e+00, 0.0000e+00, 2.2165e-07, ..., 9.9652e-08, 3.7253e-09, 3.4086e-07], ..., [ 0.0000e+00, 0.0000e+00, 5.5786e-07, ..., 1.0412e-06, -1.3597e-07, 1.1176e-07], [ 0.0000e+00, 0.0000e+00, 3.6322e-08, ..., 5.5879e-09, 2.7008e-08, 1.0058e-07], [ 0.0000e+00, 0.0000e+00, -6.7521e-07, ..., 1.8626e-09, 1.2480e-07, -1.6009e-06]], device='cuda:0') Epoch 313, bias, value: tensor([-0.0408, -0.0349, 0.0099, 0.0296, -0.0173, 0.0074, -0.0139, 0.0170, 0.0121, -0.0012], device='cuda:0'), grad: tensor([ 1.4789e-06, -2.4680e-06, 9.8161e-07, 2.1458e-06, 6.9849e-08, -1.6354e-06, 1.0896e-07, 2.3190e-06, 2.3842e-07, -3.2578e-06], device='cuda:0') 100 0.0001 changing lr epoch 312, time 214.51, cls_loss 0.0006 cls_loss_mapping 0.0017 cls_loss_causal 0.4901 re_mapping 0.0037 re_causal 0.0114 /// teacc 99.18 lr 0.00010000 Epoch 314, weight, value: tensor([[-0.1142, 0.0576, 0.0727, ..., -0.0894, -0.1852, 0.0619], [-0.1041, -0.0598, -0.1248, ..., 0.1831, -0.1114, -0.0854], [-0.0496, 0.0061, 0.2373, ..., -0.1343, -0.1646, -0.1518], ..., [-0.1622, -0.0645, 0.0228, ..., -0.0533, 0.1275, -0.0965], [-0.1216, -0.0977, -0.0830, ..., -0.1478, -0.0084, -0.1865], [-0.1975, -0.0748, -0.1540, ..., -0.2116, -0.0390, 0.1466]], device='cuda:0'), grad: tensor([[ 8.6613e-08, 0.0000e+00, -2.8126e-07, ..., -1.8626e-09, 5.5879e-09, -2.3004e-07], [ 1.0896e-07, 0.0000e+00, 1.0962e-06, ..., 1.0896e-07, 8.6986e-07, 2.8871e-08], [ 4.6566e-09, 0.0000e+00, 5.5879e-08, ..., 3.5390e-08, 2.0489e-08, 2.7940e-08], ..., [ 1.4901e-08, 0.0000e+00, -1.1595e-06, ..., -1.8813e-07, -9.6112e-07, 4.6566e-09], [ 1.0245e-08, 0.0000e+00, 6.0536e-08, ..., 2.9802e-08, 5.5879e-09, 3.4459e-08], [ 5.2247e-07, 0.0000e+00, 1.0058e-07, ..., 2.0489e-08, 1.5832e-08, -1.8626e-09]], device='cuda:0') Epoch 314, bias, value: tensor([-0.0407, -0.0349, 0.0090, 0.0301, -0.0174, 0.0072, -0.0137, 0.0171, 0.0120, -0.0012], device='cuda:0'), grad: tensor([-5.0943e-07, 3.1050e-06, 2.1886e-07, 2.5146e-08, -1.1595e-06, 3.1758e-07, 2.2445e-07, -3.3472e-06, 2.4401e-07, 8.6706e-07], device='cuda:0') 100 0.0001 changing lr epoch 313, time 214.55, cls_loss 0.0006 cls_loss_mapping 0.0017 cls_loss_causal 0.4877 re_mapping 0.0035 re_causal 0.0111 /// teacc 99.23 lr 0.00010000 Epoch 315, weight, value: tensor([[-0.1148, 0.0576, 0.0727, ..., -0.0894, -0.1853, 0.0619], [-0.1042, -0.0599, -0.1248, ..., 0.1834, -0.1115, -0.0855], [-0.0497, 0.0062, 0.2375, ..., -0.1355, -0.1647, -0.1520], ..., [-0.1623, -0.0646, 0.0229, ..., -0.0536, 0.1276, -0.0965], [-0.1220, -0.0977, -0.0831, ..., -0.1480, -0.0086, -0.1866], [-0.1978, -0.0748, -0.1540, ..., -0.2123, -0.0391, 0.1466]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -6.3330e-08, ..., -1.3039e-08, 2.6077e-08, -8.6613e-08], [ 3.2596e-08, 0.0000e+00, 4.6566e-08, ..., -1.1176e-08, 9.3132e-08, 1.3039e-08], [ 9.3132e-10, 0.0000e+00, 1.3970e-08, ..., 3.7253e-09, 2.2352e-08, 3.7253e-09], ..., [ 7.4506e-09, 0.0000e+00, -9.8906e-07, ..., 7.4506e-09, -1.9632e-06, 1.5832e-08], [ 2.7940e-09, 0.0000e+00, 2.9802e-08, ..., 2.7940e-09, 5.2154e-08, 4.1910e-08], [ 2.6077e-08, 0.0000e+00, 6.1840e-07, ..., 1.8626e-09, 1.1278e-06, -3.2410e-07]], device='cuda:0') Epoch 315, bias, value: tensor([-0.0407, -0.0347, 0.0084, 0.0306, -0.0173, 0.0067, -0.0133, 0.0170, 0.0121, -0.0013], device='cuda:0'), grad: tensor([-1.7229e-07, 3.1292e-07, 8.3819e-08, 4.6007e-07, 9.7789e-08, 1.3085e-06, 1.2480e-07, -4.6901e-06, 2.1514e-07, 2.2482e-06], device='cuda:0') 100 0.0001 changing lr epoch 314, time 214.31, cls_loss 0.0006 cls_loss_mapping 0.0017 cls_loss_causal 0.4859 re_mapping 0.0035 re_causal 0.0110 /// teacc 99.03 lr 0.00010000 Epoch 316, weight, value: tensor([[-0.1150, 0.0576, 0.0728, ..., -0.0892, -0.1853, 0.0620], [-0.1047, -0.0599, -0.1250, ..., 0.1835, -0.1116, -0.0884], [-0.0498, 0.0063, 0.2382, ..., -0.1357, -0.1649, -0.1523], ..., [-0.1626, -0.0647, 0.0236, ..., -0.0537, 0.1280, -0.0966], [-0.1221, -0.0977, -0.0835, ..., -0.1480, -0.0089, -0.1872], [-0.1979, -0.0748, -0.1543, ..., -0.2094, -0.0393, 0.1467]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, 7.4506e-09, ..., 5.8673e-08, 1.3039e-08, -2.7940e-09], [ 8.3819e-09, 0.0000e+00, 1.1921e-07, ..., -9.1270e-08, 8.4750e-08, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 1.5274e-07, ..., 1.8626e-08, 1.0710e-07, 9.3132e-10], ..., [ 1.8626e-09, 0.0000e+00, -6.0629e-07, ..., 3.6322e-08, -4.2375e-07, 3.1665e-08], [ 3.7253e-09, 0.0000e+00, 1.2293e-07, ..., 9.3132e-08, 8.6613e-08, 6.5193e-09], [ 1.4901e-08, 0.0000e+00, 1.2387e-07, ..., 3.7253e-09, 8.0094e-08, -1.0431e-07]], device='cuda:0') Epoch 316, bias, value: tensor([-0.0406, -0.0349, 0.0088, 0.0305, -0.0177, 0.0057, -0.0134, 0.0173, 0.0119, -0.0014], device='cuda:0'), grad: tensor([ 1.8906e-07, 1.4901e-07, 4.3400e-07, 3.0734e-07, 1.9465e-07, 1.0803e-07, -4.5262e-07, -1.3402e-06, -1.7136e-07, 5.8673e-07], device='cuda:0') 100 0.0001 changing lr epoch 315, time 214.61, cls_loss 0.0007 cls_loss_mapping 0.0020 cls_loss_causal 0.4479 re_mapping 0.0034 re_causal 0.0105 /// teacc 99.09 lr 0.00010000 Epoch 317, weight, value: tensor([[-0.1151, 0.0576, 0.0728, ..., -0.0893, -0.1853, 0.0620], [-0.1034, -0.0599, -0.1250, ..., 0.1838, -0.1117, -0.0887], [-0.0515, 0.0064, 0.2383, ..., -0.1368, -0.1651, -0.1527], ..., [-0.1635, -0.0647, 0.0236, ..., -0.0538, 0.1281, -0.0966], [-0.1227, -0.0978, -0.0836, ..., -0.1481, -0.0090, -0.1877], [-0.1984, -0.0749, -0.1544, ..., -0.2099, -0.0393, 0.1468]], device='cuda:0'), grad: tensor([[ 7.4506e-09, 0.0000e+00, -1.8626e-09, ..., 0.0000e+00, 0.0000e+00, -1.9558e-08], [ 2.1420e-08, 0.0000e+00, 2.7008e-08, ..., -2.6077e-08, 6.5193e-09, 6.5193e-09], [ 1.0245e-08, 0.0000e+00, -2.8126e-07, ..., 2.7940e-09, 1.8626e-08, 2.5146e-08], ..., [ 1.4901e-08, 0.0000e+00, -3.7253e-09, ..., 1.4901e-08, -5.4948e-08, 1.8626e-09], [ 1.1176e-08, 0.0000e+00, 1.0803e-07, ..., 3.7253e-09, 6.5193e-09, 3.7253e-09], [ 6.5193e-08, 0.0000e+00, 5.9605e-08, ..., 0.0000e+00, 1.5832e-08, 4.0047e-08]], device='cuda:0') Epoch 317, bias, value: tensor([-0.0406, -0.0347, 0.0084, 0.0304, -0.0182, 0.0056, -0.0135, 0.0173, 0.0121, -0.0013], device='cuda:0'), grad: tensor([ 1.3784e-06, 1.3849e-06, 4.5672e-06, -3.4198e-06, 1.8626e-08, -4.0233e-07, 2.0787e-06, 7.1712e-07, -1.3120e-05, 6.7651e-06], device='cuda:0') 100 0.0001 changing lr epoch 316, time 214.52, cls_loss 0.0008 cls_loss_mapping 0.0014 cls_loss_causal 0.4643 re_mapping 0.0034 re_causal 0.0105 /// teacc 99.11 lr 0.00010000 Epoch 318, weight, value: tensor([[-0.1152, 0.0576, 0.0729, ..., -0.0893, -0.1853, 0.0621], [-0.1036, -0.0599, -0.1252, ..., 0.1839, -0.1117, -0.0889], [-0.0516, 0.0064, 0.2389, ..., -0.1382, -0.1652, -0.1534], ..., [-0.1642, -0.0648, 0.0237, ..., -0.0538, 0.1281, -0.0968], [-0.1231, -0.0979, -0.0840, ..., -0.1481, -0.0093, -0.1890], [-0.1987, -0.0751, -0.1544, ..., -0.2101, -0.0392, 0.1469]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -3.4180e-07, ..., -4.6566e-09, 9.3132e-10, -4.0885e-07], [ 2.7940e-09, 0.0000e+00, 5.5879e-09, ..., -2.7940e-08, 7.4506e-09, 4.6566e-09], [ 9.3132e-10, 0.0000e+00, 1.2107e-08, ..., 9.3132e-09, 1.8626e-09, 1.4901e-08], ..., [ 2.7940e-09, 0.0000e+00, 5.5879e-09, ..., 9.3132e-09, 2.0489e-08, 1.3504e-07], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 2.1420e-08, 9.3132e-09, 9.3132e-09], [ 6.5193e-09, 0.0000e+00, 5.6811e-08, ..., 1.8626e-09, -1.5832e-08, -9.2201e-08]], device='cuda:0') Epoch 318, bias, value: tensor([-0.0406, -0.0348, 0.0086, 0.0272, -0.0181, 0.0080, -0.0132, 0.0172, 0.0119, -0.0013], device='cuda:0'), grad: tensor([-9.9372e-07, -5.5879e-09, 7.0781e-08, -5.8860e-07, -5.5879e-09, 3.3434e-07, 5.3644e-07, 6.6496e-07, 1.1921e-07, -1.2200e-07], device='cuda:0') 100 0.0001 changing lr epoch 317, time 214.52, cls_loss 0.0006 cls_loss_mapping 0.0017 cls_loss_causal 0.4786 re_mapping 0.0034 re_causal 0.0108 /// teacc 99.03 lr 0.00010000 Epoch 319, weight, value: tensor([[-0.1153, 0.0577, 0.0730, ..., -0.0894, -0.1854, 0.0621], [-0.1038, -0.0600, -0.1252, ..., 0.1842, -0.1118, -0.0890], [-0.0518, 0.0065, 0.2390, ..., -0.1400, -0.1656, -0.1540], ..., [-0.1645, -0.0649, 0.0238, ..., -0.0540, 0.1282, -0.0968], [-0.1237, -0.0979, -0.0840, ..., -0.1482, -0.0095, -0.1891], [-0.1990, -0.0753, -0.1545, ..., -0.2106, -0.0393, 0.1469]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -9.3132e-10, -7.4543e-06, ..., 1.7695e-08, -2.2165e-06, -3.8594e-06], [ 9.3132e-10, 0.0000e+00, 8.5682e-08, ..., 8.3819e-09, 2.6077e-08, 4.4703e-08], [ 0.0000e+00, -0.0000e+00, 4.7218e-07, ..., 1.8626e-09, 1.4156e-07, 2.4587e-07], ..., [ 9.3132e-10, 0.0000e+00, 1.9837e-06, ..., 9.3132e-10, 5.8953e-07, 1.0272e-06], [ 9.3132e-10, 0.0000e+00, 2.0303e-07, ..., 9.5926e-08, 6.2399e-08, 1.1362e-07], [ 1.1176e-08, 0.0000e+00, 2.1793e-06, ..., 9.3132e-10, 6.4820e-07, 1.1297e-06]], device='cuda:0') Epoch 319, bias, value: tensor([-0.0406, -0.0346, 0.0079, 0.0272, -0.0180, 0.0082, -0.0131, 0.0172, 0.0123, -0.0013], device='cuda:0'), grad: tensor([-2.5988e-05, 3.8091e-07, 1.7285e-06, 3.3025e-06, 2.7660e-07, 5.0887e-06, 2.0023e-07, 6.9998e-06, 2.9337e-07, 7.7337e-06], device='cuda:0') 100 0.0001 changing lr epoch 318, time 214.35, cls_loss 0.0006 cls_loss_mapping 0.0014 cls_loss_causal 0.4884 re_mapping 0.0035 re_causal 0.0111 /// teacc 99.03 lr 0.00010000 Epoch 320, weight, value: tensor([[-0.1157, 0.0577, 0.0731, ..., -0.0895, -0.1853, 0.0622], [-0.1042, -0.0601, -0.1258, ..., 0.1840, -0.1118, -0.0906], [-0.0519, 0.0071, 0.2404, ..., -0.1411, -0.1657, -0.1543], ..., [-0.1649, -0.0650, 0.0232, ..., -0.0541, 0.1282, -0.0969], [-0.1242, -0.0981, -0.0841, ..., -0.1484, -0.0095, -0.1894], [-0.2000, -0.0754, -0.1544, ..., -0.2076, -0.0393, 0.1469]], device='cuda:0'), grad: tensor([[ 6.5193e-09, 0.0000e+00, -7.4506e-09, ..., 3.7253e-09, 1.8626e-09, 9.3132e-10], [ 2.4214e-08, 0.0000e+00, 5.5879e-09, ..., -4.5635e-08, 6.5193e-09, 3.7253e-09], [ 6.5193e-09, 0.0000e+00, 1.6764e-08, ..., 1.1176e-08, 1.9558e-08, 9.3132e-10], ..., [ 2.9802e-08, 0.0000e+00, -6.0536e-08, ..., 1.5832e-08, -5.4948e-08, 1.2107e-08], [-1.8626e-08, 0.0000e+00, 3.7253e-09, ..., 1.3970e-08, 7.4506e-09, 5.5879e-09], [ 2.6077e-08, 0.0000e+00, 1.5832e-08, ..., 3.7253e-09, 1.6764e-08, -3.7253e-08]], device='cuda:0') Epoch 320, bias, value: tensor([-0.0405, -0.0351, 0.0086, 0.0272, -0.0177, 0.0081, -0.0128, 0.0170, 0.0120, -0.0012], device='cuda:0'), grad: tensor([ 2.8871e-08, 3.7253e-09, 9.9652e-08, 3.8184e-08, -9.2201e-08, -1.3858e-06, 1.3858e-06, 2.7008e-08, -9.1270e-08, -2.7940e-08], device='cuda:0') 100 0.0001 changing lr epoch 319, time 214.58, cls_loss 0.0007 cls_loss_mapping 0.0013 cls_loss_causal 0.4764 re_mapping 0.0033 re_causal 0.0105 /// teacc 99.04 lr 0.00010000 Epoch 321, weight, value: tensor([[-0.1158, 0.0577, 0.0732, ..., -0.0896, -0.1854, 0.0623], [-0.1049, -0.0601, -0.1260, ..., 0.1844, -0.1119, -0.0904], [-0.0522, 0.0074, 0.2410, ..., -0.1415, -0.1659, -0.1548], ..., [-0.1652, -0.0651, 0.0235, ..., -0.0545, 0.1284, -0.0969], [-0.1250, -0.0982, -0.0845, ..., -0.1485, -0.0097, -0.1905], [-0.2009, -0.0754, -0.1545, ..., -0.2079, -0.0394, 0.1470]], device='cuda:0'), grad: tensor([[ 3.2596e-08, 0.0000e+00, -2.8592e-07, ..., 7.4506e-09, 0.0000e+00, -4.2934e-07], [ 1.6484e-07, 0.0000e+00, 0.0000e+00, ..., -1.1325e-06, 0.0000e+00, 9.3132e-10], [ 5.7742e-08, 0.0000e+00, -3.7253e-09, ..., 1.3411e-07, 0.0000e+00, 9.3132e-10], ..., [ 8.6613e-08, 0.0000e+00, 9.3132e-10, ..., 8.3540e-07, 0.0000e+00, 2.5146e-08], [ 1.8347e-07, 0.0000e+00, 1.8626e-09, ..., 6.2399e-08, 9.3132e-10, 4.6566e-09], [ 4.8708e-07, 0.0000e+00, 2.7567e-07, ..., 5.8673e-08, 0.0000e+00, 3.8743e-07]], device='cuda:0') Epoch 321, bias, value: tensor([-0.0404, -0.0349, 0.0090, 0.0272, -0.0177, 0.0082, -0.0133, 0.0171, 0.0119, -0.0013], device='cuda:0'), grad: tensor([-1.0058e-06, -2.5406e-06, 4.5821e-07, 3.9581e-07, -1.8710e-06, 4.0978e-08, 3.2969e-07, 2.3171e-06, -4.4703e-08, 1.9036e-06], device='cuda:0') 100 0.0001 changing lr epoch 320, time 214.35, cls_loss 0.0007 cls_loss_mapping 0.0020 cls_loss_causal 0.4844 re_mapping 0.0034 re_causal 0.0107 /// teacc 99.07 lr 0.00010000 Epoch 322, weight, value: tensor([[-0.1159, 0.0577, 0.0733, ..., -0.0897, -0.1854, 0.0623], [-0.1051, -0.0601, -0.1261, ..., 0.1853, -0.1119, -0.0894], [-0.0524, 0.0104, 0.2434, ..., -0.1425, -0.1646, -0.1557], ..., [-0.1652, -0.0655, 0.0240, ..., -0.0549, 0.1286, -0.0969], [-0.1256, -0.0982, -0.0848, ..., -0.1487, -0.0100, -0.1912], [-0.2011, -0.0755, -0.1547, ..., -0.2093, -0.0394, 0.1470]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -9.7789e-08, ..., 2.7940e-09, 9.3132e-10, -7.4506e-08], [ 2.7940e-09, 0.0000e+00, 1.5832e-08, ..., -2.9150e-07, 6.1467e-08, 3.8184e-08], [ 9.3132e-10, 0.0000e+00, -2.6077e-08, ..., 5.5879e-09, 1.3039e-08, 4.6566e-09], ..., [ 8.3819e-09, 0.0000e+00, -9.3132e-09, ..., 2.1514e-07, -9.4995e-08, 4.9639e-07], [ 2.7940e-09, 0.0000e+00, 1.0245e-08, ..., 9.3132e-09, 3.7253e-09, 6.2399e-08], [ 1.1176e-08, 0.0000e+00, 9.8720e-08, ..., 5.8673e-08, 1.5832e-08, -1.2368e-06]], device='cuda:0') Epoch 322, bias, value: tensor([-0.0404, -0.0342, 0.0106, 0.0265, -0.0180, 0.0082, -0.0133, 0.0170, 0.0118, -0.0014], device='cuda:0'), grad: tensor([-1.7229e-07, -2.7381e-07, 4.1910e-08, 1.0710e-07, 2.7381e-06, 5.4948e-08, 2.1420e-08, 2.2911e-06, 1.2759e-07, -4.9397e-06], device='cuda:0') 100 0.0001 changing lr epoch 321, time 214.58, cls_loss 0.0006 cls_loss_mapping 0.0012 cls_loss_causal 0.4674 re_mapping 0.0033 re_causal 0.0106 /// teacc 99.08 lr 0.00010000 Epoch 323, weight, value: tensor([[-0.1160, 0.0578, 0.0735, ..., -0.0898, -0.1854, 0.0624], [-0.1055, -0.0602, -0.1263, ..., 0.1853, -0.1122, -0.0893], [-0.0526, 0.0104, 0.2433, ..., -0.1426, -0.1650, -0.1565], ..., [-0.1660, -0.0657, 0.0243, ..., -0.0549, 0.1287, -0.0970], [-0.1263, -0.0982, -0.0849, ..., -0.1487, -0.0102, -0.1918], [-0.2017, -0.0757, -0.1548, ..., -0.2095, -0.0395, 0.1469]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -8.2236e-07, ..., 7.4506e-09, -9.0338e-08, -3.1572e-07], [ 0.0000e+00, 0.0000e+00, -5.9605e-08, ..., -9.6764e-07, -3.2596e-08, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 3.7625e-07, ..., 1.9930e-07, 2.8871e-08, 8.1956e-08], ..., [ 9.3132e-10, 0.0000e+00, 2.3562e-07, ..., 6.8918e-07, 3.8184e-08, 6.4261e-08], [ 0.0000e+00, 0.0000e+00, -4.2655e-07, ..., 3.1665e-08, 5.5879e-09, 3.1665e-08], [ 0.0000e+00, 0.0000e+00, 2.8871e-07, ..., 1.1176e-08, 2.5146e-08, 2.9802e-08]], device='cuda:0') Epoch 323, bias, value: tensor([-0.0403, -0.0344, 0.0103, 0.0264, -0.0178, 0.0083, -0.0133, 0.0171, 0.0121, -0.0015], device='cuda:0'), grad: tensor([-1.0487e-06, -1.4622e-06, 1.8403e-06, 1.7043e-07, 8.0094e-07, 3.3528e-07, 6.6031e-07, 2.2240e-06, -4.0829e-06, 5.4669e-07], device='cuda:0') 100 0.0001 changing lr epoch 322, time 214.42, cls_loss 0.0007 cls_loss_mapping 0.0018 cls_loss_causal 0.4775 re_mapping 0.0034 re_causal 0.0107 /// teacc 99.08 lr 0.00010000 Epoch 324, weight, value: tensor([[-0.1161, 0.0578, 0.0752, ..., -0.0898, -0.1837, 0.0642], [-0.1056, -0.0603, -0.1265, ..., 0.1856, -0.1123, -0.0924], [-0.0527, 0.0105, 0.2436, ..., -0.1438, -0.1653, -0.1572], ..., [-0.1660, -0.0657, 0.0246, ..., -0.0550, 0.1289, -0.0970], [-0.1268, -0.0984, -0.0856, ..., -0.1494, -0.0109, -0.1924], [-0.2020, -0.0757, -0.1549, ..., -0.2084, -0.0396, 0.1475]], device='cuda:0'), grad: tensor([[ 1.8626e-09, -9.3132e-10, 5.5879e-09, ..., 1.8626e-09, 5.5879e-09, 0.0000e+00], [ 4.6566e-09, 0.0000e+00, 6.5193e-08, ..., -1.0245e-08, 1.7695e-08, 1.8626e-09], [-9.3132e-10, -9.3132e-10, -1.4249e-07, ..., 9.3132e-10, 1.3970e-08, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, -2.8219e-07, ..., 1.1176e-08, -5.8021e-07, 7.4506e-09], [ 1.8626e-09, 0.0000e+00, 5.8673e-08, ..., 5.5879e-09, 4.7497e-08, 7.4506e-09], [ 7.8231e-08, 9.3132e-10, 2.6729e-07, ..., 9.3132e-10, 5.0385e-07, -3.4459e-08]], device='cuda:0') Epoch 324, bias, value: tensor([-0.0387, -0.0347, 0.0104, 0.0265, -0.0179, 0.0059, -0.0133, 0.0172, 0.0113, -0.0014], device='cuda:0'), grad: tensor([ 1.1362e-07, 2.3283e-07, -1.7881e-07, -1.5637e-06, -6.7055e-08, 1.3197e-06, -9.4064e-08, -9.7975e-07, 1.2387e-07, 1.1027e-06], device='cuda:0') 100 0.0001 changing lr epoch 323, time 214.41, cls_loss 0.0007 cls_loss_mapping 0.0014 cls_loss_causal 0.4751 re_mapping 0.0034 re_causal 0.0104 /// teacc 99.17 lr 0.00010000 Epoch 325, weight, value: tensor([[-0.1166, 0.0579, 0.0753, ..., -0.0896, -0.1838, 0.0642], [-0.1063, -0.0605, -0.1268, ..., 0.1857, -0.1124, -0.0926], [-0.0530, 0.0105, 0.2437, ..., -0.1439, -0.1660, -0.1583], ..., [-0.1687, -0.0661, 0.0252, ..., -0.0551, 0.1291, -0.0970], [-0.1285, -0.0986, -0.0861, ..., -0.1496, -0.0110, -0.1933], [-0.2024, -0.0762, -0.1550, ..., -0.2085, -0.0396, 0.1475]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.3970e-08, ..., 9.3132e-10, 4.6566e-09, -2.7940e-09], [ 0.0000e+00, 0.0000e+00, 3.4459e-08, ..., -4.2841e-08, 1.5832e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -2.0023e-07, ..., 1.8626e-09, 8.3819e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -1.0245e-07, ..., 3.0734e-08, -2.3004e-07, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.0896e-07, ..., 2.7940e-09, 1.4901e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.0710e-07, ..., 2.7940e-09, 1.6950e-07, 1.8626e-09]], device='cuda:0') Epoch 325, bias, value: tensor([-0.0386, -0.0348, 0.0102, 0.0267, -0.0176, 0.0058, -0.0131, 0.0172, 0.0112, -0.0014], device='cuda:0'), grad: tensor([ 4.7497e-08, 3.1665e-08, -2.0023e-07, -3.0454e-07, 2.5146e-08, 8.4750e-08, 3.1665e-08, -3.2689e-07, 2.1607e-07, 3.9581e-07], device='cuda:0') 100 0.0001 changing lr epoch 324, time 214.40, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4903 re_mapping 0.0033 re_causal 0.0107 /// teacc 99.13 lr 0.00010000 Epoch 326, weight, value: tensor([[-0.1167, 0.0580, 0.0754, ..., -0.0897, -0.1838, 0.0643], [-0.1065, -0.0605, -0.1270, ..., 0.1858, -0.1127, -0.0927], [-0.0531, 0.0106, 0.2438, ..., -0.1441, -0.1662, -0.1588], ..., [-0.1688, -0.0666, 0.0254, ..., -0.0552, 0.1293, -0.0971], [-0.1288, -0.0987, -0.0863, ..., -0.1496, -0.0111, -0.1944], [-0.2027, -0.0764, -0.1551, ..., -0.2086, -0.0397, 0.1475]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.6077e-08, ..., 9.3132e-10, 0.0000e+00, -4.6566e-08], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., -1.1176e-08, 0.0000e+00, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, -2.1793e-07, ..., 2.7940e-09, 0.0000e+00, 2.7940e-09], ..., [ 0.0000e+00, 0.0000e+00, 3.8184e-08, ..., 4.6566e-09, 9.3132e-09, 2.9802e-08], [ 0.0000e+00, 0.0000e+00, 1.4249e-07, ..., 1.8626e-09, 0.0000e+00, 1.5832e-08], [ 0.0000e+00, 0.0000e+00, 4.6566e-09, ..., 9.3132e-10, 0.0000e+00, -1.0803e-07]], device='cuda:0') Epoch 326, bias, value: tensor([-0.0386, -0.0349, 0.0102, 0.0267, -0.0176, 0.0058, -0.0131, 0.0172, 0.0110, -0.0015], device='cuda:0'), grad: tensor([-7.6368e-08, -1.8626e-09, -3.7160e-07, 3.7253e-08, 8.3819e-08, 9.9652e-08, 6.5193e-09, 2.0117e-07, 3.1479e-07, -2.8685e-07], device='cuda:0') 100 0.0001 changing lr epoch 325, time 214.52, cls_loss 0.0006 cls_loss_mapping 0.0015 cls_loss_causal 0.4933 re_mapping 0.0037 re_causal 0.0115 /// teacc 98.98 lr 0.00010000 Epoch 327, weight, value: tensor([[-0.1168, 0.0580, 0.0755, ..., -0.0897, -0.1838, 0.0643], [-0.1070, -0.0606, -0.1270, ..., 0.1859, -0.1128, -0.0927], [-0.0531, 0.0108, 0.2437, ..., -0.1443, -0.1664, -0.1612], ..., [-0.1690, -0.0684, 0.0255, ..., -0.0553, 0.1293, -0.0972], [-0.1291, -0.0987, -0.0861, ..., -0.1496, -0.0108, -0.1966], [-0.2024, -0.0764, -0.1552, ..., -0.2086, -0.0397, 0.1479]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.4901e-08, ..., 9.3132e-10, 1.0245e-08, 1.4901e-08], [-5.8673e-08, 0.0000e+00, 1.3318e-07, ..., -1.6857e-07, 3.4459e-07, 1.9558e-08], [ 9.3132e-10, 0.0000e+00, -2.0489e-08, ..., 3.7253e-09, 2.3283e-08, 1.2107e-08], ..., [ 1.3970e-08, 0.0000e+00, -2.0675e-07, ..., 4.5635e-08, -5.2992e-07, 2.9430e-07], [ 1.3039e-08, 0.0000e+00, 7.4506e-09, ..., 3.9116e-08, 5.5879e-08, 3.0268e-06], [ 0.0000e+00, 0.0000e+00, 1.3039e-08, ..., 9.3132e-10, 3.2596e-08, -3.4459e-06]], device='cuda:0') Epoch 327, bias, value: tensor([-0.0385, -0.0349, 0.0100, 0.0269, -0.0199, 0.0057, -0.0131, 0.0171, 0.0114, -0.0010], device='cuda:0'), grad: tensor([ 1.0524e-07, 3.3062e-07, 5.5879e-08, 1.1083e-07, 5.0757e-07, -9.8720e-08, 8.0094e-08, 2.8592e-07, 1.2375e-05, -1.3754e-05], device='cuda:0') 100 0.0001 changing lr epoch 326, time 214.50, cls_loss 0.0010 cls_loss_mapping 0.0031 cls_loss_causal 0.4749 re_mapping 0.0038 re_causal 0.0111 /// teacc 99.05 lr 0.00010000 Epoch 328, weight, value: tensor([[-0.1176, 0.0583, 0.0758, ..., -0.0895, -0.1839, 0.0648], [-0.1112, -0.0607, -0.1271, ..., 0.1878, -0.1128, -0.0928], [-0.0555, 0.0111, 0.2414, ..., -0.1452, -0.1693, -0.1639], ..., [-0.1705, -0.0695, 0.0279, ..., -0.0567, 0.1301, -0.0973], [-0.1311, -0.0988, -0.0864, ..., -0.1509, -0.0112, -0.1991], [-0.2067, -0.0784, -0.1555, ..., -0.2119, -0.0398, 0.1482]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -5.3551e-07, ..., -5.2154e-08, 0.0000e+00, -4.6473e-07], [ 0.0000e+00, 0.0000e+00, 4.2841e-08, ..., -3.7253e-09, 1.8626e-09, 2.0489e-08], [ 0.0000e+00, 0.0000e+00, -2.7940e-09, ..., 8.3819e-09, 0.0000e+00, 2.2352e-08], ..., [ 0.0000e+00, 0.0000e+00, 2.1420e-08, ..., 7.4506e-09, -6.5193e-09, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 2.2352e-08, ..., -8.3819e-09, 9.3132e-10, 1.2107e-08], [ 0.0000e+00, 0.0000e+00, 3.3900e-07, ..., 3.2596e-08, 2.7940e-09, 3.0734e-07]], device='cuda:0') Epoch 328, bias, value: tensor([-0.0381, -0.0340, 0.0071, 0.0269, -0.0165, 0.0057, -0.0134, 0.0172, 0.0096, -0.0036], device='cuda:0'), grad: tensor([-1.3057e-06, 1.7416e-07, 2.1234e-07, -5.7649e-07, 1.4901e-08, 1.6671e-07, 1.9837e-07, 2.5239e-07, -2.7940e-08, 8.7544e-07], device='cuda:0') 100 0.0001 changing lr epoch 327, time 214.31, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4736 re_mapping 0.0037 re_causal 0.0114 /// teacc 99.15 lr 0.00010000 Epoch 329, weight, value: tensor([[-0.1193, 0.0583, 0.0760, ..., -0.0908, -0.1839, 0.0649], [-0.1121, -0.0608, -0.1273, ..., 0.1878, -0.1129, -0.0933], [-0.0567, 0.0119, 0.2409, ..., -0.1453, -0.1701, -0.1644], ..., [-0.1709, -0.0722, 0.0286, ..., -0.0567, 0.1304, -0.0974], [-0.1323, -0.0991, -0.0870, ..., -0.1510, -0.0116, -0.2000], [-0.2068, -0.0785, -0.1557, ..., -0.2120, -0.0398, 0.1483]], device='cuda:0'), grad: tensor([[ 3.7160e-07, 0.0000e+00, -9.3132e-10, ..., 2.1420e-07, 1.8626e-09, 1.8626e-09], [ 3.1665e-08, 0.0000e+00, 2.5146e-08, ..., -4.9360e-08, 8.3819e-09, 3.7253e-09], [ 5.4017e-08, 0.0000e+00, -6.9197e-07, ..., 5.4948e-08, 2.6077e-08, 9.3132e-10], ..., [ 1.3970e-08, 0.0000e+00, -3.7253e-08, ..., 2.8871e-08, -1.0058e-07, 1.2107e-08], [ 1.0487e-06, 0.0000e+00, 6.6496e-07, ..., 5.9977e-07, 5.5879e-08, 8.7544e-08], [ 1.6764e-08, 0.0000e+00, 1.5832e-08, ..., 2.2352e-08, 3.7253e-09, -2.4308e-07]], device='cuda:0') Epoch 329, bias, value: tensor([-0.0382, -0.0341, 0.0066, 0.0279, -0.0165, 0.0056, -0.0142, 0.0174, 0.0092, -0.0036], device='cuda:0'), grad: tensor([ 1.3644e-06, -7.3574e-08, -1.2238e-06, 8.8476e-08, 1.4365e-05, 1.4091e-06, -2.1160e-05, 2.3190e-07, 5.3644e-06, -3.8464e-07], device='cuda:0') 100 0.0001 changing lr epoch 328, time 214.17, cls_loss 0.0006 cls_loss_mapping 0.0018 cls_loss_causal 0.4872 re_mapping 0.0037 re_causal 0.0113 /// teacc 99.10 lr 0.00010000 Epoch 330, weight, value: tensor([[-0.1206, 0.0583, 0.0762, ..., -0.0909, -0.1840, 0.0650], [-0.1131, -0.0608, -0.1275, ..., 0.1879, -0.1130, -0.0934], [-0.0572, 0.0120, 0.2410, ..., -0.1454, -0.1702, -0.1657], ..., [-0.1692, -0.0723, 0.0287, ..., -0.0568, 0.1309, -0.0974], [-0.1340, -0.0991, -0.0874, ..., -0.1511, -0.0119, -0.2041], [-0.2069, -0.0785, -0.1559, ..., -0.2121, -0.0398, 0.1484]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -3.7253e-09, ..., 1.8626e-09, 3.2596e-08, 1.1176e-08], [ 1.6857e-07, 5.5879e-09, 2.8871e-08, ..., 2.7008e-08, 8.3819e-09, 4.6566e-09], [-1.4901e-08, -7.4506e-09, -5.3085e-08, ..., 1.8626e-09, 2.7940e-09, 9.3132e-10], ..., [ 3.7253e-09, 0.0000e+00, 9.3132e-10, ..., 1.3039e-08, 2.9523e-07, 2.0768e-07], [ 7.4506e-09, 0.0000e+00, 1.3970e-08, ..., 3.7253e-09, 1.7695e-08, 2.0489e-08], [ 2.5425e-07, 0.0000e+00, 5.5879e-09, ..., 6.9849e-08, -4.0606e-07, -2.9523e-07]], device='cuda:0') Epoch 330, bias, value: tensor([-0.0381, -0.0340, 0.0067, 0.0278, -0.0165, 0.0056, -0.0142, 0.0175, 0.0082, -0.0037], device='cuda:0'), grad: tensor([ 3.6508e-07, 3.5483e-07, -5.4017e-08, -3.2037e-07, -7.0781e-08, 1.2945e-07, 5.2154e-08, 3.3956e-06, 2.2911e-07, -4.0755e-06], device='cuda:0') 100 0.0001 changing lr epoch 329, time 214.11, cls_loss 0.0006 cls_loss_mapping 0.0017 cls_loss_causal 0.4571 re_mapping 0.0035 re_causal 0.0105 /// teacc 99.15 lr 0.00010000 Epoch 331, weight, value: tensor([[-0.1209, 0.0583, 0.0763, ..., -0.0909, -0.1841, 0.0652], [-0.1134, -0.0609, -0.1286, ..., 0.1882, -0.1131, -0.0934], [-0.0573, 0.0120, 0.2415, ..., -0.1430, -0.1703, -0.1674], ..., [-0.1692, -0.0723, 0.0288, ..., -0.0574, 0.1310, -0.0975], [-0.1320, -0.0991, -0.0878, ..., -0.1512, -0.0121, -0.2049], [-0.2069, -0.0785, -0.1560, ..., -0.2121, -0.0399, 0.1484]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.3132e-08, ..., 1.8626e-09, 9.3132e-10, -1.1921e-07], [ 0.0000e+00, 9.3132e-10, 1.4901e-08, ..., 1.8626e-09, 0.0000e+00, 5.5879e-09], [ 0.0000e+00, -2.9802e-08, -1.4529e-07, ..., 1.8626e-09, 0.0000e+00, 8.3819e-09], ..., [ 9.3132e-10, 2.3283e-08, 9.3132e-08, ..., 1.8626e-09, 6.5193e-09, 2.2352e-08], [ 9.3132e-10, 1.8626e-09, 4.1910e-08, ..., -2.6077e-08, 1.8626e-09, 1.8626e-08], [-2.3283e-08, 0.0000e+00, 4.8429e-08, ..., 1.8626e-09, -9.3132e-10, -7.4506e-08]], device='cuda:0') Epoch 331, bias, value: tensor([-0.0380, -0.0342, 0.0076, 0.0271, -0.0165, 0.0061, -0.0143, 0.0174, 0.0085, -0.0037], device='cuda:0'), grad: tensor([-3.5577e-07, 6.7987e-08, -1.4901e-07, -1.5926e-07, 2.8033e-07, 1.9930e-07, 7.9162e-08, 2.3656e-07, -5.7742e-08, -1.4808e-07], device='cuda:0') 100 0.0001 changing lr epoch 330, time 214.05, cls_loss 0.0006 cls_loss_mapping 0.0017 cls_loss_causal 0.4558 re_mapping 0.0034 re_causal 0.0104 /// teacc 99.14 lr 0.00010000 Epoch 332, weight, value: tensor([[-0.1213, 0.0583, 0.0764, ..., -0.0910, -0.1841, 0.0652], [-0.1141, -0.0610, -0.1288, ..., 0.1887, -0.1132, -0.0935], [-0.0593, 0.0121, 0.2415, ..., -0.1432, -0.1703, -0.1689], ..., [-0.1696, -0.0726, 0.0288, ..., -0.0579, 0.1311, -0.0976], [-0.1319, -0.0991, -0.0883, ..., -0.1512, -0.0122, -0.2053], [-0.2071, -0.0786, -0.1560, ..., -0.2124, -0.0399, 0.1484]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.5832e-08, ..., 1.8626e-09, 9.3132e-10, -1.0245e-08], [ 0.0000e+00, 0.0000e+00, 6.5193e-09, ..., -1.7092e-05, 3.7253e-09, 1.3970e-08], [ 0.0000e+00, 0.0000e+00, 2.5611e-07, ..., 7.4506e-09, 2.7940e-08, 4.6566e-09], ..., [ 0.0000e+00, 0.0000e+00, 1.2014e-07, ..., 1.6749e-05, -1.9558e-08, 4.9919e-07], [ 0.0000e+00, 0.0000e+00, -2.4773e-07, ..., 5.9605e-08, -2.6077e-08, 7.3574e-08], [ 0.0000e+00, 0.0000e+00, -1.4529e-07, ..., 1.6950e-07, 1.2107e-08, -6.6962e-07]], device='cuda:0') Epoch 332, bias, value: tensor([-0.0379, -0.0341, 0.0075, 0.0266, -0.0163, 0.0064, -0.0144, 0.0173, 0.0087, -0.0039], device='cuda:0'), grad: tensor([-4.6566e-09, -3.2872e-05, 1.3113e-06, 2.7008e-08, 2.7660e-07, 1.1548e-07, 4.1910e-08, 3.4302e-05, -9.5181e-07, -2.3283e-06], device='cuda:0') 100 0.0001 changing lr epoch 331, time 214.06, cls_loss 0.0005 cls_loss_mapping 0.0009 cls_loss_causal 0.4618 re_mapping 0.0035 re_causal 0.0107 /// teacc 99.17 lr 0.00010000 Epoch 333, weight, value: tensor([[-0.1222, 0.0583, 0.0764, ..., -0.0911, -0.1842, 0.0652], [-0.1146, -0.0611, -0.1289, ..., 0.1892, -0.1133, -0.0935], [-0.0607, 0.0117, 0.2416, ..., -0.1439, -0.1703, -0.1693], ..., [-0.1698, -0.0728, 0.0289, ..., -0.0584, 0.1312, -0.0977], [-0.1324, -0.0992, -0.0884, ..., -0.1508, -0.0123, -0.2059], [-0.2071, -0.0789, -0.1561, ..., -0.2125, -0.0399, 0.1486]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -9.3132e-10, -1.0245e-08, ..., 1.8626e-09, 2.0489e-08, 9.3132e-10], [ 3.7253e-09, 0.0000e+00, 5.5879e-09, ..., -2.1420e-08, 8.3819e-09, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, -1.3039e-08, ..., 9.3132e-10, 2.7940e-09, 2.7940e-09], ..., [ 3.7253e-09, 0.0000e+00, -3.5390e-08, ..., 1.3970e-08, -1.8254e-07, 1.2107e-08], [ 1.8626e-09, 0.0000e+00, 4.6566e-09, ..., 1.8626e-09, 1.0245e-08, 3.7253e-09], [ 2.7940e-09, 9.3132e-10, 5.2154e-08, ..., 9.3132e-10, 7.9162e-08, 2.1420e-08]], device='cuda:0') Epoch 333, bias, value: tensor([-0.0380, -0.0339, 0.0073, 0.0265, -0.0162, 0.0064, -0.0148, 0.0171, 0.0098, -0.0039], device='cuda:0'), grad: tensor([-1.9558e-08, 2.8871e-08, -8.3819e-09, 7.3574e-08, 1.8068e-07, -1.9651e-07, 5.5879e-08, -3.0454e-07, -2.3283e-08, 2.1514e-07], device='cuda:0') 100 0.0001 changing lr epoch 332, time 214.33, cls_loss 0.0006 cls_loss_mapping 0.0014 cls_loss_causal 0.4757 re_mapping 0.0035 re_causal 0.0109 /// teacc 99.12 lr 0.00010000 Epoch 334, weight, value: tensor([[-0.1224, 0.0583, 0.0765, ..., -0.0914, -0.1844, 0.0653], [-0.1152, -0.0614, -0.1290, ..., 0.1893, -0.1133, -0.0936], [-0.0608, 0.0117, 0.2421, ..., -0.1445, -0.1700, -0.1667], ..., [-0.1707, -0.0728, 0.0289, ..., -0.0584, 0.1313, -0.0978], [-0.1324, -0.0992, -0.0887, ..., -0.1506, -0.0126, -0.2067], [-0.2071, -0.0790, -0.1565, ..., -0.2126, -0.0401, 0.1485]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -5.5879e-09, ..., 4.6566e-09, 9.3132e-10, -0.0000e+00], [ 6.5193e-09, 0.0000e+00, 1.5832e-08, ..., -2.0489e-08, 1.7695e-08, 9.3132e-10], [ 1.8626e-09, 0.0000e+00, -1.8626e-09, ..., 2.7940e-09, 2.5146e-08, 0.0000e+00], ..., [ 2.7940e-09, 0.0000e+00, -1.1269e-07, ..., 5.5879e-09, -1.4622e-07, 3.1665e-08], [ 9.3132e-10, 0.0000e+00, 5.4948e-08, ..., 4.6566e-09, 5.1223e-08, 6.5193e-09], [ 4.6566e-09, 0.0000e+00, 1.9558e-08, ..., 9.3132e-10, 1.6764e-08, -5.9605e-08]], device='cuda:0') Epoch 334, bias, value: tensor([-0.0380, -0.0340, 0.0077, 0.0263, -0.0161, 0.0064, -0.0149, 0.0171, 0.0105, -0.0040], device='cuda:0'), grad: tensor([ 1.7695e-08, 1.6764e-08, 1.5832e-08, -2.8871e-08, 2.2352e-08, 5.6811e-08, 7.4506e-09, -1.7975e-07, 1.7975e-07, -1.0896e-07], device='cuda:0') 100 0.0001 changing lr epoch 333, time 214.52, cls_loss 0.0006 cls_loss_mapping 0.0018 cls_loss_causal 0.4760 re_mapping 0.0033 re_causal 0.0107 /// teacc 99.13 lr 0.00010000 Epoch 335, weight, value: tensor([[-0.1226, 0.0583, 0.0767, ..., -0.0916, -0.1844, 0.0654], [-0.1155, -0.0615, -0.1300, ..., 0.1892, -0.1139, -0.0936], [-0.0615, 0.0123, 0.2422, ..., -0.1448, -0.1701, -0.1668], ..., [-0.1710, -0.0748, 0.0297, ..., -0.0583, 0.1319, -0.0975], [-0.1326, -0.0995, -0.0891, ..., -0.1507, -0.0129, -0.2074], [-0.2072, -0.0791, -0.1571, ..., -0.2126, -0.0406, 0.1484]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -4.6566e-09, ..., 1.4901e-08, 9.3132e-10, -1.8626e-09], [ 2.7940e-09, 2.7940e-09, 8.3819e-09, ..., 1.9558e-07, 6.5193e-09, 2.7940e-09], [ 9.3132e-10, -1.8626e-09, -7.4506e-09, ..., 1.8626e-08, 2.7940e-09, 9.3132e-10], ..., [ 9.3132e-10, 0.0000e+00, -2.7940e-09, ..., 1.3039e-08, -2.7940e-09, 4.6566e-09], [ 9.3132e-10, 0.0000e+00, 0.0000e+00, ..., -2.5705e-07, 6.4261e-08, 2.7008e-08], [ 1.2107e-08, 0.0000e+00, 5.5879e-09, ..., 1.2107e-08, 7.4506e-09, -1.2107e-08]], device='cuda:0') Epoch 335, bias, value: tensor([-0.0379, -0.0343, 0.0077, 0.0265, -0.0161, 0.0062, -0.0147, 0.0176, 0.0104, -0.0043], device='cuda:0'), grad: tensor([ 2.1886e-07, 2.9691e-06, 2.2259e-07, 2.5295e-06, 1.2107e-08, -2.5425e-06, 6.3889e-07, 1.0803e-07, -4.3139e-06, 1.5553e-07], device='cuda:0') 100 0.0001 changing lr epoch 334, time 214.51, cls_loss 0.0006 cls_loss_mapping 0.0010 cls_loss_causal 0.4620 re_mapping 0.0033 re_causal 0.0101 /// teacc 99.09 lr 0.00010000 Epoch 336, weight, value: tensor([[-0.1227, 0.0583, 0.0768, ..., -0.0917, -0.1845, 0.0656], [-0.1156, -0.0616, -0.1302, ..., 0.1893, -0.1139, -0.0937], [-0.0617, 0.0123, 0.2425, ..., -0.1451, -0.1701, -0.1668], ..., [-0.1712, -0.0748, 0.0298, ..., -0.0584, 0.1320, -0.0976], [-0.1327, -0.0995, -0.0893, ..., -0.1507, -0.0130, -0.2080], [-0.2072, -0.0791, -0.1573, ..., -0.2127, -0.0406, 0.1484]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 7.6368e-08, -1.3597e-07, ..., 5.5879e-09, 0.0000e+00, -3.7253e-08], [ 1.8626e-09, 5.5879e-09, 2.5146e-08, ..., -2.0489e-08, 5.5879e-09, 1.2107e-08], [ 9.3132e-10, 2.7940e-09, -9.7789e-08, ..., 9.3132e-09, 2.7940e-09, 7.4506e-09], ..., [ 0.0000e+00, 2.6077e-08, 1.3970e-08, ..., 8.3819e-09, -1.0245e-08, 8.0094e-08], [ 1.8626e-09, 1.6764e-07, 2.4214e-08, ..., -5.5879e-09, 1.8626e-09, 2.0582e-07], [ 3.7253e-09, 1.0524e-07, 1.2480e-07, ..., 1.8626e-09, 4.6566e-09, 6.9849e-08]], device='cuda:0') Epoch 336, bias, value: tensor([-0.0377, -0.0343, 0.0078, 0.0264, -0.0161, 0.0062, -0.0147, 0.0176, 0.0105, -0.0043], device='cuda:0'), grad: tensor([ 1.4529e-07, 7.3574e-08, -1.7323e-07, -2.2445e-06, 1.8161e-07, 1.5553e-07, 3.6322e-08, 3.8650e-07, 1.0058e-06, 4.1723e-07], device='cuda:0') 100 0.0001 changing lr epoch 335, time 214.22, cls_loss 0.0007 cls_loss_mapping 0.0018 cls_loss_causal 0.4815 re_mapping 0.0033 re_causal 0.0104 /// teacc 99.11 lr 0.00010000 Epoch 337, weight, value: tensor([[-0.1232, 0.0583, 0.0769, ..., -0.0919, -0.1846, 0.0659], [-0.1163, -0.0617, -0.1301, ..., 0.1896, -0.1140, -0.0938], [-0.0618, 0.0123, 0.2426, ..., -0.1467, -0.1702, -0.1670], ..., [-0.1716, -0.0748, 0.0298, ..., -0.0585, 0.1321, -0.0977], [-0.1333, -0.1000, -0.0896, ..., -0.1508, -0.0134, -0.2090], [-0.2072, -0.0793, -0.1574, ..., -0.2130, -0.0407, 0.1484]], device='cuda:0'), grad: tensor([[ 1.1176e-08, 0.0000e+00, -1.8626e-08, ..., 9.3132e-10, 9.3132e-10, -8.1956e-08], [ 1.3039e-08, 0.0000e+00, 3.2596e-08, ..., -1.0245e-08, 1.4901e-08, 5.5879e-09], [ 4.6566e-09, 0.0000e+00, -3.6601e-07, ..., 1.8626e-09, 8.7544e-08, 1.8626e-09], ..., [ 8.4750e-08, 0.0000e+00, 1.6764e-07, ..., 7.4506e-09, -1.7229e-07, 3.9116e-08], [ 7.4506e-09, 0.0000e+00, 1.4901e-07, ..., -9.3132e-10, 2.8871e-08, 8.3819e-09], [ 1.1269e-07, 0.0000e+00, 1.6764e-08, ..., 9.3132e-10, 1.2107e-08, -2.8871e-08]], device='cuda:0') Epoch 337, bias, value: tensor([-0.0375, -0.0342, 0.0077, 0.0247, -0.0161, 0.0074, -0.0143, 0.0175, 0.0103, -0.0044], device='cuda:0'), grad: tensor([-1.9278e-07, 8.8476e-08, -8.0653e-07, 1.3132e-07, -5.4482e-07, 2.2352e-08, 2.1514e-07, 6.4075e-07, 2.7567e-07, 1.7695e-07], device='cuda:0') 100 0.0001 changing lr epoch 336, time 214.18, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4681 re_mapping 0.0035 re_causal 0.0107 /// teacc 99.05 lr 0.00010000 Epoch 338, weight, value: tensor([[-0.1242, 0.0583, 0.0769, ..., -0.0920, -0.1848, 0.0659], [-0.1168, -0.0617, -0.1302, ..., 0.1897, -0.1141, -0.0938], [-0.0627, 0.0123, 0.2426, ..., -0.1475, -0.1703, -0.1673], ..., [-0.1719, -0.0748, 0.0299, ..., -0.0586, 0.1322, -0.0981], [-0.1322, -0.1000, -0.0896, ..., -0.1509, -0.0144, -0.2102], [-0.2073, -0.0793, -0.1574, ..., -0.2130, -0.0407, 0.1486]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.0338e-08, ..., 0.0000e+00, 9.3132e-10, -7.5437e-08], [ 2.7940e-08, 0.0000e+00, 2.7940e-09, ..., -1.6764e-08, 3.7253e-09, 6.5193e-09], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 9.3132e-10, 9.3132e-10, 9.3132e-10], ..., [ 9.3132e-10, 0.0000e+00, -1.4901e-08, ..., 4.6566e-09, -2.5146e-08, 2.7940e-09], [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., 2.7940e-09, 2.7940e-09, 6.5193e-09], [ 1.3970e-08, 0.0000e+00, 5.4948e-08, ..., 9.3132e-10, 2.0489e-08, 2.9802e-08]], device='cuda:0') Epoch 338, bias, value: tensor([-0.0376, -0.0342, 0.0074, 0.0241, -0.0161, 0.0081, -0.0140, 0.0174, 0.0101, -0.0043], device='cuda:0'), grad: tensor([-1.9651e-07, 2.5146e-08, 1.1176e-08, 4.0047e-08, -3.2596e-08, -1.8440e-07, 1.9372e-07, -2.2352e-08, 1.3039e-08, 1.4529e-07], device='cuda:0') 100 0.0001 changing lr epoch 337, time 214.76, cls_loss 0.0007 cls_loss_mapping 0.0017 cls_loss_causal 0.4782 re_mapping 0.0034 re_causal 0.0101 /// teacc 99.11 lr 0.00010000 Epoch 339, weight, value: tensor([[-0.1244, 0.0583, 0.0770, ..., -0.0920, -0.1849, 0.0659], [-0.1176, -0.0617, -0.1305, ..., 0.1900, -0.1142, -0.0938], [-0.0628, 0.0124, 0.2431, ..., -0.1478, -0.1702, -0.1675], ..., [-0.1725, -0.0749, 0.0297, ..., -0.0589, 0.1324, -0.0982], [-0.1329, -0.1004, -0.0898, ..., -0.1510, -0.0143, -0.2109], [-0.2073, -0.0793, -0.1576, ..., -0.2132, -0.0408, 0.1486]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -8.3819e-09, ..., 1.0245e-08, 9.3132e-10, -2.7940e-09], [ 1.8626e-09, 0.0000e+00, 9.3132e-09, ..., -2.0489e-07, 2.7940e-09, 2.7940e-09], [ 2.7940e-09, 0.0000e+00, -4.5635e-08, ..., 8.3819e-09, 9.3132e-10, 9.3132e-10], ..., [ 9.3132e-10, 0.0000e+00, 1.4901e-08, ..., 1.7788e-07, -7.4506e-09, 5.5879e-08], [ 5.5879e-09, 0.0000e+00, 1.7695e-08, ..., 2.2352e-08, 2.7940e-09, 3.7253e-09], [ 8.3819e-09, 0.0000e+00, 9.3132e-09, ..., 3.7253e-09, 2.7940e-09, -9.4995e-08]], device='cuda:0') Epoch 339, bias, value: tensor([-0.0376, -0.0342, 0.0076, 0.0243, -0.0161, 0.0080, -0.0137, 0.0173, 0.0101, -0.0044], device='cuda:0'), grad: tensor([ 2.4214e-08, -3.0641e-07, -5.2154e-08, -2.5146e-08, 3.9116e-07, 3.7253e-08, -3.9954e-07, 4.9639e-07, 1.1269e-07, -2.7940e-07], device='cuda:0') 100 0.0001 changing lr epoch 338, time 214.53, cls_loss 0.0006 cls_loss_mapping 0.0026 cls_loss_causal 0.4518 re_mapping 0.0034 re_causal 0.0104 /// teacc 99.13 lr 0.00010000 Epoch 340, weight, value: tensor([[-0.1244, 0.0583, 0.0772, ..., -0.0921, -0.1850, 0.0661], [-0.1182, -0.0617, -0.1309, ..., 0.1901, -0.1144, -0.0938], [-0.0628, 0.0124, 0.2464, ..., -0.1484, -0.1672, -0.1681], ..., [-0.1727, -0.0749, 0.0266, ..., -0.0589, 0.1297, -0.0982], [-0.1331, -0.1004, -0.0885, ..., -0.1511, -0.0152, -0.2120], [-0.2075, -0.0793, -0.1579, ..., -0.2133, -0.0410, 0.1487]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -8.4750e-08, ..., 0.0000e+00, 0.0000e+00, -7.2643e-08], [ 1.1176e-08, 0.0000e+00, 6.5193e-09, ..., -3.7253e-09, 7.4506e-09, 6.5193e-09], [ 1.8626e-09, 0.0000e+00, 1.8626e-09, ..., 0.0000e+00, 3.7253e-09, 6.5193e-09], ..., [ 1.5832e-08, 0.0000e+00, -9.3132e-10, ..., 2.7940e-09, -2.3283e-08, 1.3411e-07], [ 4.6566e-09, 0.0000e+00, 4.6566e-09, ..., 9.3132e-10, 1.8626e-09, 4.6566e-09], [ 5.4017e-08, 0.0000e+00, 5.4017e-08, ..., 9.3132e-10, 9.3132e-09, -1.3225e-07]], device='cuda:0') Epoch 340, bias, value: tensor([-0.0374, -0.0343, 0.0107, 0.0242, -0.0159, 0.0080, -0.0141, 0.0146, 0.0104, -0.0046], device='cuda:0'), grad: tensor([-2.8592e-07, 4.9360e-08, 3.8184e-08, 7.6368e-08, -6.4261e-08, 1.4901e-08, 4.6566e-08, 2.6450e-07, -3.0734e-08, -1.0338e-07], device='cuda:0') 100 0.0001 changing lr epoch 339, time 214.40, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4807 re_mapping 0.0035 re_causal 0.0107 /// teacc 99.15 lr 0.00010000 Epoch 341, weight, value: tensor([[-0.1246, 0.0583, 0.0774, ..., -0.0921, -0.1852, 0.0662], [-0.1185, -0.0618, -0.1313, ..., 0.1904, -0.1145, -0.0939], [-0.0628, 0.0124, 0.2464, ..., -0.1483, -0.1672, -0.1686], ..., [-0.1729, -0.0749, 0.0267, ..., -0.0592, 0.1298, -0.0983], [-0.1335, -0.1004, -0.0884, ..., -0.1512, -0.0152, -0.2130], [-0.2074, -0.0794, -0.1581, ..., -0.2135, -0.0411, 0.1487]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.8871e-08, ..., 0.0000e+00, -0.0000e+00, -3.6322e-08], [ 1.8626e-09, 0.0000e+00, 2.9802e-08, ..., 9.3132e-10, 4.6566e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -1.5460e-07, ..., 3.7253e-09, 2.3283e-08, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, 1.9558e-08, ..., -5.5879e-09, -3.3528e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 5.5879e-08, ..., 1.8626e-09, 3.7253e-09, 1.8626e-09], [ 1.1176e-08, 0.0000e+00, 2.7008e-08, ..., 0.0000e+00, 1.8626e-08, 3.6322e-08]], device='cuda:0') Epoch 341, bias, value: tensor([-0.0373, -0.0342, 0.0107, 0.0242, -0.0160, 0.0080, -0.0141, 0.0146, 0.0105, -0.0046], device='cuda:0'), grad: tensor([-6.5193e-08, 7.5437e-08, -3.3714e-07, -4.6566e-09, -1.7695e-08, 9.3132e-10, 3.3528e-08, 3.8184e-08, 1.3877e-07, 1.3877e-07], device='cuda:0') 100 0.0001 changing lr epoch 340, time 214.45, cls_loss 0.0005 cls_loss_mapping 0.0010 cls_loss_causal 0.4379 re_mapping 0.0033 re_causal 0.0103 /// teacc 99.09 lr 0.00010000 Epoch 342, weight, value: tensor([[-0.1247, 0.0583, 0.0775, ..., -0.0922, -0.1851, 0.0663], [-0.1188, -0.0618, -0.1315, ..., 0.1907, -0.1146, -0.0939], [-0.0627, 0.0125, 0.2463, ..., -0.1486, -0.1674, -0.1690], ..., [-0.1736, -0.0749, 0.0268, ..., -0.0595, 0.1301, -0.0984], [-0.1336, -0.1004, -0.0886, ..., -0.1515, -0.0153, -0.2137], [-0.2074, -0.0794, -0.1582, ..., -0.2136, -0.0411, 0.1489]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.4901e-08, ..., 6.5193e-09, 0.0000e+00, -9.3132e-09], [ 1.8626e-09, 0.0000e+00, 9.3132e-10, ..., -9.2201e-08, 9.3132e-10, 1.8626e-09], [ 9.3132e-10, 0.0000e+00, 9.3132e-10, ..., 7.4506e-09, 9.3132e-10, 0.0000e+00], ..., [ 2.7940e-09, 0.0000e+00, -3.7253e-09, ..., 2.3283e-08, -9.3132e-10, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.1176e-08, 8.3819e-09, 0.0000e+00], [ 6.5193e-09, 0.0000e+00, 1.7695e-08, ..., 9.3132e-10, 3.7253e-09, -1.8626e-09]], device='cuda:0') Epoch 342, bias, value: tensor([-0.0372, -0.0341, 0.0105, 0.0242, -0.0161, 0.0080, -0.0139, 0.0147, 0.0105, -0.0045], device='cuda:0'), grad: tensor([ 1.3718e-06, 7.0781e-08, 1.1176e-07, 1.5814e-06, 1.5832e-08, 1.1642e-07, 2.6636e-07, 1.5926e-07, -3.8221e-06, 1.3225e-07], device='cuda:0') 100 0.0001 changing lr epoch 341, time 214.20, cls_loss 0.0006 cls_loss_mapping 0.0015 cls_loss_causal 0.5045 re_mapping 0.0032 re_causal 0.0104 /// teacc 99.15 lr 0.00010000 Epoch 343, weight, value: tensor([[-0.1248, 0.0583, 0.0777, ..., -0.0922, -0.1851, 0.0665], [-0.1191, -0.0618, -0.1316, ..., 0.1910, -0.1147, -0.0940], [-0.0629, 0.0124, 0.2463, ..., -0.1493, -0.1674, -0.1694], ..., [-0.1737, -0.0748, 0.0269, ..., -0.0597, 0.1301, -0.0986], [-0.1340, -0.1005, -0.0890, ..., -0.1515, -0.0166, -0.2144], [-0.2075, -0.0795, -0.1584, ..., -0.2137, -0.0412, 0.1489]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.8871e-08, ..., -2.7940e-09, 2.7940e-09, 6.8918e-08], [ 1.8626e-09, 0.0000e+00, 2.1420e-08, ..., -1.7695e-08, 5.2154e-08, 7.4506e-09], [ 0.0000e+00, 0.0000e+00, -2.6450e-07, ..., 9.3132e-10, 5.5879e-09, 1.8626e-09], ..., [ 2.7940e-09, 0.0000e+00, -5.4017e-08, ..., 4.6566e-09, -1.5274e-07, 3.9116e-08], [ 9.3132e-10, 0.0000e+00, 2.5518e-07, ..., 8.3819e-09, 4.6566e-09, 2.4866e-07], [ 1.3039e-08, 0.0000e+00, 4.0047e-08, ..., 2.7940e-09, 5.6811e-08, -4.2468e-07]], device='cuda:0') Epoch 343, bias, value: tensor([-0.0370, -0.0340, 0.0105, 0.0243, -0.0161, 0.0082, -0.0150, 0.0147, 0.0101, -0.0046], device='cuda:0'), grad: tensor([ 1.1828e-07, 1.0431e-07, -5.4482e-07, 5.2154e-08, 7.9162e-08, 5.3085e-08, 1.5832e-08, -2.0489e-07, 1.0310e-06, -6.9849e-07], device='cuda:0') 100 0.0001 changing lr epoch 342, time 214.00, cls_loss 0.0006 cls_loss_mapping 0.0016 cls_loss_causal 0.4379 re_mapping 0.0035 re_causal 0.0103 /// teacc 99.16 lr 0.00010000 Epoch 344, weight, value: tensor([[-0.1251, 0.0583, 0.0777, ..., -0.0925, -0.1851, 0.0665], [-0.1193, -0.0618, -0.1318, ..., 0.1911, -0.1148, -0.0941], [-0.0633, 0.0124, 0.2463, ..., -0.1497, -0.1675, -0.1697], ..., [-0.1739, -0.0748, 0.0269, ..., -0.0598, 0.1302, -0.0988], [-0.1324, -0.1005, -0.0888, ..., -0.1515, -0.0151, -0.2154], [-0.2076, -0.0795, -0.1586, ..., -0.2139, -0.0413, 0.1491]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., 4.4703e-08, 1.0245e-08, 2.6822e-07], [ 3.7253e-09, 0.0000e+00, 4.5635e-08, ..., 5.2992e-07, 5.7742e-08, 4.4256e-06], [ 0.0000e+00, 0.0000e+00, 6.1467e-08, ..., 4.5635e-08, 6.6124e-08, 4.0978e-08], ..., [ 1.8626e-09, 0.0000e+00, -2.9802e-07, ..., 8.6706e-07, -3.6508e-07, 7.2718e-06], [ 0.0000e+00, 0.0000e+00, 7.5437e-08, ..., 3.3062e-07, 1.2852e-07, 2.5630e-06], [ 1.5832e-08, 0.0000e+00, 7.4506e-08, ..., -1.9502e-06, 8.8476e-08, -1.6391e-05]], device='cuda:0') Epoch 344, bias, value: tensor([-0.0371, -0.0341, 0.0105, 0.0246, -0.0161, 0.0080, -0.0148, 0.0147, 0.0113, -0.0046], device='cuda:0'), grad: tensor([ 1.1036e-06, 1.7419e-05, 3.9767e-07, 7.3761e-07, 6.1840e-06, 2.6077e-08, -2.5146e-07, 2.7686e-05, 1.0408e-05, -6.3837e-05], device='cuda:0') 100 0.0001 changing lr epoch 343, time 213.93, cls_loss 0.0010 cls_loss_mapping 0.0024 cls_loss_causal 0.5162 re_mapping 0.0035 re_causal 0.0112 /// teacc 99.15 lr 0.00010000 Epoch 345, weight, value: tensor([[-0.1253, 0.0583, 0.0779, ..., -0.0926, -0.1852, 0.0666], [-0.1201, -0.0620, -0.1322, ..., 0.1914, -0.1152, -0.0944], [-0.0637, 0.0134, 0.2463, ..., -0.1510, -0.1676, -0.1702], ..., [-0.1742, -0.0754, 0.0299, ..., -0.0598, 0.1335, -0.0993], [-0.1325, -0.1006, -0.0922, ..., -0.1518, -0.0187, -0.2156], [-0.2078, -0.0795, -0.1588, ..., -0.2139, -0.0415, 0.1494]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.1176e-08, ..., 9.3132e-10, 8.3819e-09, -1.3970e-08], [ 5.1223e-08, 0.0000e+00, 1.6764e-08, ..., -7.1712e-08, 5.9418e-07, 0.0000e+00], [ 3.7253e-09, 0.0000e+00, -1.3784e-07, ..., 1.0245e-08, 6.0536e-08, 0.0000e+00], ..., [ 2.7940e-09, 0.0000e+00, 1.0245e-08, ..., 4.0978e-08, -3.0808e-06, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 4.9360e-08, ..., 1.2107e-08, 4.8429e-08, 0.0000e+00], [ 1.5832e-08, 0.0000e+00, 1.3970e-08, ..., 1.8626e-09, 1.2489e-06, 1.0245e-08]], device='cuda:0') Epoch 345, bias, value: tensor([-0.0370, -0.0344, 0.0104, 0.0245, -0.0158, 0.0080, -0.0148, 0.0179, 0.0077, -0.0048], device='cuda:0'), grad: tensor([ 2.0489e-08, 2.5891e-06, 3.3528e-08, 2.0117e-07, 4.6194e-06, 1.6484e-07, 1.4901e-08, -1.3605e-05, 3.3062e-07, 5.6401e-06], device='cuda:0') 100 0.0001 changing lr epoch 344, time 213.90, cls_loss 0.0006 cls_loss_mapping 0.0012 cls_loss_causal 0.4611 re_mapping 0.0033 re_causal 0.0104 /// teacc 99.10 lr 0.00010000 Epoch 346, weight, value: tensor([[-0.1255, 0.0584, 0.0781, ..., -0.0929, -0.1853, 0.0667], [-0.1207, -0.0620, -0.1325, ..., 0.1920, -0.1154, -0.0945], [-0.0638, 0.0134, 0.2461, ..., -0.1517, -0.1678, -0.1707], ..., [-0.1745, -0.0754, 0.0300, ..., -0.0604, 0.1335, -0.0994], [-0.1332, -0.1006, -0.0922, ..., -0.1522, -0.0187, -0.2164], [-0.2078, -0.0796, -0.1590, ..., -0.2140, -0.0413, 0.1495]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.5832e-08, ..., 1.8626e-09, 9.3132e-10, -6.5193e-09], [ 6.5193e-09, 0.0000e+00, 1.8626e-08, ..., 9.3132e-10, 1.4901e-08, 4.6566e-09], [ 9.3132e-10, 0.0000e+00, 1.2945e-07, ..., 9.3132e-10, 8.1025e-08, 9.3132e-10], ..., [ 7.4506e-09, 0.0000e+00, -1.6205e-07, ..., 0.0000e+00, -1.0617e-07, 4.3772e-08], [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 8.3819e-09, 2.6077e-08], [ 2.7008e-08, 0.0000e+00, 1.9558e-08, ..., 0.0000e+00, 1.1176e-08, -2.0117e-07]], device='cuda:0') Epoch 346, bias, value: tensor([-0.0369, -0.0342, 0.0101, 0.0245, -0.0158, 0.0080, -0.0142, 0.0179, 0.0077, -0.0046], device='cuda:0'), grad: tensor([-7.4506e-09, 7.7300e-08, 3.3993e-07, -1.4529e-07, 3.2876e-07, 1.8626e-09, 2.3283e-08, -2.6263e-07, 2.0303e-07, -5.5134e-07], device='cuda:0') 100 0.0001 changing lr epoch 345, time 213.93, cls_loss 0.0005 cls_loss_mapping 0.0014 cls_loss_causal 0.4755 re_mapping 0.0033 re_causal 0.0106 /// teacc 99.22 lr 0.00010000 Epoch 347, weight, value: tensor([[-0.1256, 0.0584, 0.0782, ..., -0.0931, -0.1854, 0.0668], [-0.1212, -0.0627, -0.1333, ..., 0.1921, -0.1155, -0.0946], [-0.0639, 0.0135, 0.2462, ..., -0.1520, -0.1678, -0.1708], ..., [-0.1748, -0.0754, 0.0299, ..., -0.0606, 0.1334, -0.0996], [-0.1337, -0.1006, -0.0922, ..., -0.1522, -0.0187, -0.2172], [-0.2078, -0.0796, -0.1591, ..., -0.2141, -0.0413, 0.1499]], device='cuda:0'), grad: tensor([[ 4.6566e-09, -4.6566e-10, 2.4214e-08, ..., 4.1910e-09, 5.3551e-08, -3.2131e-08], [ 3.2596e-09, 0.0000e+00, 1.2061e-07, ..., -2.4214e-08, 1.3318e-07, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 2.4075e-07, ..., 5.1223e-09, 2.7800e-07, 4.6566e-10], ..., [ 1.8626e-09, 0.0000e+00, -5.2005e-06, ..., 1.2573e-08, -5.5730e-06, 1.5367e-08], [ 3.5390e-08, 0.0000e+00, 2.1420e-08, ..., 2.4680e-08, 2.4680e-08, 2.3283e-08], [ 1.7695e-08, 4.6566e-10, 4.7386e-06, ..., 9.3132e-10, 5.0142e-06, -2.1420e-08]], device='cuda:0') Epoch 347, bias, value: tensor([-0.0368, -0.0345, 0.0102, 0.0253, -0.0166, 0.0079, -0.0140, 0.0178, 0.0078, -0.0039], device='cuda:0'), grad: tensor([ 9.3132e-08, 4.4145e-07, 7.3202e-07, 7.9162e-09, 5.4948e-08, 1.7928e-07, -1.4575e-07, -2.5094e-05, 2.2771e-07, 2.3574e-05], device='cuda:0') 100 0.0001 changing lr epoch 346, time 214.21, cls_loss 0.0006 cls_loss_mapping 0.0010 cls_loss_causal 0.4560 re_mapping 0.0032 re_causal 0.0102 /// teacc 99.13 lr 0.00010000 Epoch 348, weight, value: tensor([[-0.1257, 0.0584, 0.0782, ..., -0.0929, -0.1855, 0.0669], [-0.1220, -0.0657, -0.1363, ..., 0.1916, -0.1169, -0.0948], [-0.0640, 0.0164, 0.2463, ..., -0.1495, -0.1678, -0.1711], ..., [-0.1750, -0.0754, 0.0299, ..., -0.0606, 0.1334, -0.0998], [-0.1340, -0.1006, -0.0922, ..., -0.1523, -0.0187, -0.2176], [-0.2078, -0.0796, -0.1596, ..., -0.2142, -0.0415, 0.1500]], device='cuda:0'), grad: tensor([[ 5.1223e-09, 0.0000e+00, -1.3970e-09, ..., 9.3132e-10, 5.1223e-09, -4.6566e-09], [ 1.2573e-08, 0.0000e+00, 6.9849e-09, ..., -1.3970e-08, 1.8626e-08, 0.0000e+00], [ 3.2596e-09, 0.0000e+00, -1.9558e-08, ..., 6.9849e-09, 6.0536e-09, 0.0000e+00], ..., [ 1.4203e-07, 0.0000e+00, -2.6543e-08, ..., 1.1176e-08, 6.2864e-08, 4.6566e-10], [ 1.2573e-08, 0.0000e+00, 2.3283e-09, ..., -2.7940e-09, 1.2107e-08, 0.0000e+00], [ 2.9337e-08, 0.0000e+00, 2.4680e-08, ..., 9.3132e-10, 4.6100e-08, 5.5879e-09]], device='cuda:0') Epoch 348, bias, value: tensor([-0.0368, -0.0357, 0.0103, 0.0254, -0.0166, 0.0078, -0.0142, 0.0178, 0.0078, -0.0041], device='cuda:0'), grad: tensor([ 1.8161e-08, 7.1712e-08, 9.3132e-10, 6.0070e-08, -7.0501e-07, -2.5146e-08, 1.7975e-07, 3.5018e-07, -1.0710e-07, 1.6252e-07], device='cuda:0') 100 0.0001 changing lr epoch 347, time 214.29, cls_loss 0.0006 cls_loss_mapping 0.0016 cls_loss_causal 0.4651 re_mapping 0.0033 re_causal 0.0103 /// teacc 99.07 lr 0.00010000 Epoch 349, weight, value: tensor([[-0.1281, 0.0584, 0.0786, ..., -0.0937, -0.1853, 0.0672], [-0.1228, -0.0657, -0.1366, ..., 0.1931, -0.1162, -0.0948], [-0.0623, 0.0164, 0.2463, ..., -0.1499, -0.1678, -0.1715], ..., [-0.1752, -0.0755, 0.0299, ..., -0.0621, 0.1334, -0.0999], [-0.1346, -0.1006, -0.0922, ..., -0.1523, -0.0187, -0.2180], [-0.2079, -0.0796, -0.1598, ..., -0.2144, -0.0417, 0.1499]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.8254e-07, ..., 1.1036e-07, 5.1688e-08, -2.2864e-07], [ 5.5879e-09, 0.0000e+00, 4.1910e-09, ..., -6.0070e-08, 9.3132e-09, 5.1223e-09], [ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., 3.2596e-08, 1.6298e-08, 7.9162e-09], ..., [ 4.6566e-10, 0.0000e+00, -1.4901e-08, ..., 5.5879e-08, -1.4901e-08, 3.6787e-08], [-1.8161e-08, 0.0000e+00, 8.8476e-09, ..., 2.5611e-08, 1.9139e-07, 9.3598e-08], [ 1.3970e-09, 0.0000e+00, 1.3644e-07, ..., 2.9802e-08, 1.0571e-07, 1.7602e-07]], device='cuda:0') Epoch 349, bias, value: tensor([-0.0366, -0.0334, 0.0103, 0.0258, -0.0165, 0.0078, -0.0150, 0.0178, 0.0078, -0.0043], device='cuda:0'), grad: tensor([-2.0582e-07, -1.3039e-08, 1.9325e-07, 2.1104e-06, 1.3690e-07, -2.9132e-06, -1.0571e-06, 2.6869e-07, 5.4110e-07, 9.4203e-07], device='cuda:0') 100 0.0001 changing lr epoch 348, time 214.21, cls_loss 0.0005 cls_loss_mapping 0.0016 cls_loss_causal 0.4718 re_mapping 0.0033 re_causal 0.0109 /// teacc 99.09 lr 0.00010000 Epoch 350, weight, value: tensor([[-0.1283, 0.0584, 0.0787, ..., -0.0939, -0.1853, 0.0673], [-0.1230, -0.0657, -0.1365, ..., 0.1939, -0.1162, -0.0949], [-0.0625, 0.0164, 0.2463, ..., -0.1504, -0.1678, -0.1719], ..., [-0.1754, -0.0756, 0.0299, ..., -0.0628, 0.1334, -0.1000], [-0.1349, -0.1006, -0.0922, ..., -0.1531, -0.0187, -0.2187], [-0.2084, -0.0796, -0.1599, ..., -0.2146, -0.0417, 0.1501]], device='cuda:0'), grad: tensor([[ 2.3283e-09, 0.0000e+00, -9.3132e-10, ..., 4.6566e-10, 4.6566e-10, 1.8161e-08], [ 5.8208e-08, 0.0000e+00, 2.7940e-09, ..., -6.9849e-09, 9.7789e-09, 5.1223e-09], [ 9.3132e-10, 0.0000e+00, 1.0710e-08, ..., 3.2596e-09, 1.0245e-08, 1.3970e-09], ..., [ 1.0710e-08, 0.0000e+00, -2.1886e-08, ..., 3.2596e-09, -2.3283e-08, 3.5856e-08], [ 1.8161e-08, 0.0000e+00, 3.2596e-09, ..., 4.6566e-09, 6.9849e-09, 9.3132e-09], [ 4.6892e-07, 0.0000e+00, 5.1223e-09, ..., 1.3039e-08, 5.2620e-08, -1.5413e-07]], device='cuda:0') Epoch 350, bias, value: tensor([-0.0366, -0.0327, 0.0103, 0.0257, -0.0158, 0.0077, -0.0140, 0.0178, 0.0078, -0.0048], device='cuda:0'), grad: tensor([ 4.9826e-08, 1.5274e-07, 4.0978e-08, 1.7229e-08, -1.5274e-06, 5.8208e-08, 2.1048e-07, 5.6345e-08, 9.5926e-08, 8.4937e-07], device='cuda:0') 100 0.0001 changing lr epoch 349, time 214.35, cls_loss 0.0006 cls_loss_mapping 0.0016 cls_loss_causal 0.4702 re_mapping 0.0032 re_causal 0.0103 /// teacc 99.11 lr 0.00010000 Epoch 351, weight, value: tensor([[-0.1288, 0.0578, 0.0788, ..., -0.0938, -0.1854, 0.0674], [-0.1246, -0.0657, -0.1390, ..., 0.1919, -0.1190, -0.0950], [-0.0628, 0.0163, 0.2464, ..., -0.1509, -0.1679, -0.1727], ..., [-0.1759, -0.0757, 0.0300, ..., -0.0606, 0.1335, -0.1002], [-0.1356, -0.1008, -0.0922, ..., -0.1535, -0.0187, -0.2194], [-0.2086, -0.0798, -0.1600, ..., -0.2148, -0.0418, 0.1501]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.6077e-08, ..., 9.3132e-10, -1.1176e-08, -3.7253e-08], [ 4.6566e-10, 0.0000e+00, 2.7940e-09, ..., -1.9092e-08, 4.6566e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, -1.2107e-08, ..., 2.7940e-09, 9.3132e-10, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -1.8626e-09, ..., 1.1642e-08, -9.7789e-09, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 6.9849e-09, ..., 1.3970e-09, 0.0000e+00, 1.3970e-09], [ 4.1910e-09, 0.0000e+00, 3.7253e-09, ..., 3.7253e-09, 3.7253e-09, -1.0245e-08]], device='cuda:0') Epoch 351, bias, value: tensor([-0.0364, -0.0350, 0.0103, 0.0249, -0.0156, 0.0072, -0.0141, 0.0179, 0.0078, -0.0051], device='cuda:0'), grad: tensor([-1.4575e-07, 7.6834e-08, 4.7497e-07, 1.3458e-07, 2.2817e-08, 1.9604e-07, 3.8184e-08, 9.2201e-08, -9.3132e-07, 4.4238e-08], device='cuda:0') 100 0.0001 changing lr epoch 350, time 214.21, cls_loss 0.0004 cls_loss_mapping 0.0011 cls_loss_causal 0.4638 re_mapping 0.0032 re_causal 0.0105 /// teacc 99.12 lr 0.00010000 Epoch 352, weight, value: tensor([[-0.1289, 0.0577, 0.0789, ..., -0.0938, -0.1854, 0.0675], [-0.1248, -0.0657, -0.1390, ..., 0.1927, -0.1190, -0.0951], [-0.0630, 0.0162, 0.2464, ..., -0.1533, -0.1679, -0.1731], ..., [-0.1761, -0.0757, 0.0301, ..., -0.0610, 0.1335, -0.1003], [-0.1357, -0.1009, -0.0922, ..., -0.1536, -0.0187, -0.2200], [-0.2087, -0.0798, -0.1601, ..., -0.2150, -0.0418, 0.1501]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.1910e-09, ..., 6.9849e-09, 6.7521e-08, 4.1910e-09], [ 4.6566e-10, 0.0000e+00, 6.0536e-09, ..., -5.1223e-09, 1.8161e-08, 6.0536e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., 4.6566e-09, 1.6764e-08, 1.8626e-09], ..., [ 4.6566e-10, 0.0000e+00, -1.6764e-08, ..., 2.3283e-09, 6.3796e-08, 3.4925e-08], [ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 9.3132e-09, 3.4459e-08, 3.3993e-08], [ 1.8626e-09, 0.0000e+00, 5.1223e-09, ..., 1.3970e-09, 1.0664e-07, -1.2852e-07]], device='cuda:0') Epoch 352, bias, value: tensor([-0.0363, -0.0345, 0.0102, 0.0249, -0.0156, 0.0069, -0.0138, 0.0179, 0.0078, -0.0051], device='cuda:0'), grad: tensor([ 3.4738e-07, 1.7649e-07, 1.0757e-07, 1.0626e-06, 3.1898e-07, -2.3674e-06, 7.9116e-07, 5.9977e-07, -1.1027e-06, 6.2864e-08], device='cuda:0') 100 0.0001 changing lr epoch 351, time 214.51, cls_loss 0.0006 cls_loss_mapping 0.0010 cls_loss_causal 0.4676 re_mapping 0.0031 re_causal 0.0100 /// teacc 99.08 lr 0.00010000 Epoch 353, weight, value: tensor([[-0.1290, 0.0577, 0.0790, ..., -0.0940, -0.1855, 0.0676], [-0.1255, -0.0658, -0.1392, ..., 0.1929, -0.1191, -0.0960], [-0.0631, 0.0163, 0.2464, ..., -0.1535, -0.1679, -0.1733], ..., [-0.1763, -0.0758, 0.0300, ..., -0.0611, 0.1336, -0.1004], [-0.1358, -0.1009, -0.0922, ..., -0.1537, -0.0187, -0.2205], [-0.2091, -0.0798, -0.1602, ..., -0.2151, -0.0419, 0.1504]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 0.0000e+00, 0.0000e+00, ..., -1.2806e-07, 5.5879e-09, -1.5274e-07], [ 3.3993e-08, 0.0000e+00, 2.7474e-08, ..., 6.2864e-08, 4.8429e-08, 7.6834e-08], [ 3.2596e-09, 0.0000e+00, 2.6543e-08, ..., 7.9162e-09, 4.6100e-08, 6.0536e-09], ..., [ 1.8626e-08, 0.0000e+00, -1.4156e-07, ..., 1.5832e-08, -2.4820e-07, 8.8476e-09], [ 3.2596e-09, 0.0000e+00, 1.4901e-08, ..., 1.0710e-08, 2.5611e-08, 1.8626e-09], [ 3.8836e-07, 0.0000e+00, 5.9139e-08, ..., 3.5856e-08, 1.0058e-07, 1.5832e-08]], device='cuda:0') Epoch 353, bias, value: tensor([-0.0363, -0.0346, 0.0102, 0.0251, -0.0152, 0.0069, -0.0138, 0.0179, 0.0078, -0.0054], device='cuda:0'), grad: tensor([-9.4064e-07, 7.0268e-07, 1.6531e-07, 1.4296e-07, -1.1455e-06, 7.7765e-08, -3.9116e-08, -5.1735e-07, 9.9186e-08, 1.4678e-06], device='cuda:0') 100 0.0001 changing lr epoch 352, time 214.31, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4519 re_mapping 0.0032 re_causal 0.0099 /// teacc 99.14 lr 0.00010000 Epoch 354, weight, value: tensor([[-0.1292, 0.0577, 0.0791, ..., -0.0941, -0.1856, 0.0677], [-0.1287, -0.0658, -0.1394, ..., 0.1926, -0.1192, -0.0962], [-0.0633, 0.0163, 0.2464, ..., -0.1537, -0.1679, -0.1736], ..., [-0.1769, -0.0758, 0.0301, ..., -0.0614, 0.1336, -0.1005], [-0.1359, -0.1009, -0.0922, ..., -0.1536, -0.0187, -0.2211], [-0.2092, -0.0798, -0.1604, ..., -0.2159, -0.0420, 0.1506]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.1910e-08, ..., 4.1910e-09, 4.6566e-10, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., -6.9849e-09, 4.1910e-09, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 3.2596e-09, ..., 1.3970e-09, 3.2596e-09, 4.6566e-10], ..., [ 1.8626e-09, 0.0000e+00, -1.5367e-08, ..., 2.7940e-09, -2.3749e-08, 2.7008e-08], [ 0.0000e+00, 0.0000e+00, 9.7789e-09, ..., 9.3132e-09, 2.7940e-09, 9.3132e-10], [-2.6543e-08, 0.0000e+00, 3.4459e-08, ..., 4.6566e-10, 1.5367e-08, -4.1164e-07]], device='cuda:0') Epoch 354, bias, value: tensor([-0.0363, -0.0349, 0.0102, 0.0252, -0.0149, 0.0067, -0.0144, 0.0179, 0.0078, -0.0054], device='cuda:0'), grad: tensor([-2.0629e-07, 3.2131e-08, 3.4925e-08, 4.2841e-08, 3.8408e-06, -1.3970e-09, -3.2131e-08, 2.1514e-07, 6.4727e-08, -3.9861e-06], device='cuda:0') 100 0.0001 changing lr epoch 353, time 214.08, cls_loss 0.0006 cls_loss_mapping 0.0019 cls_loss_causal 0.4571 re_mapping 0.0032 re_causal 0.0101 /// teacc 99.17 lr 0.00010000 Epoch 355, weight, value: tensor([[-0.1293, 0.0577, 0.0792, ..., -0.0967, -0.1858, 0.0664], [-0.1288, -0.0658, -0.1406, ..., 0.1926, -0.1198, -0.0964], [-0.0635, 0.0163, 0.2465, ..., -0.1541, -0.1679, -0.1739], ..., [-0.1772, -0.0758, 0.0301, ..., -0.0612, 0.1336, -0.1006], [-0.1362, -0.1009, -0.0922, ..., -0.1532, -0.0186, -0.2205], [-0.2092, -0.0798, -0.1606, ..., -0.2162, -0.0421, 0.1507]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 0.0000e+00, -4.6566e-10, ..., 4.6566e-10, 4.6566e-10, 0.0000e+00], [ 3.2596e-09, 0.0000e+00, 6.9849e-09, ..., -7.4506e-09, 1.2107e-08, 4.6566e-10], [ 4.6566e-10, 0.0000e+00, 3.4925e-08, ..., 1.8626e-09, 5.4482e-08, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -6.1933e-08, ..., 1.3970e-09, -1.0617e-07, 5.5879e-09], [ 4.6566e-10, 0.0000e+00, 6.9849e-09, ..., 1.3970e-09, 1.0710e-08, 9.3132e-09], [ 1.5367e-08, 0.0000e+00, 9.7789e-09, ..., 1.3970e-09, 1.9092e-08, -1.8626e-08]], device='cuda:0') Epoch 355, bias, value: tensor([-0.0384, -0.0354, 0.0102, 0.0250, -0.0149, 0.0061, -0.0117, 0.0179, 0.0079, -0.0055], device='cuda:0'), grad: tensor([ 2.0489e-08, 2.1420e-08, 1.1502e-07, -4.9127e-07, -2.8405e-08, 2.2817e-08, 2.7940e-08, -1.6252e-07, 4.8755e-07, 5.5879e-09], device='cuda:0') 100 0.0001 changing lr epoch 354, time 214.30, cls_loss 0.0005 cls_loss_mapping 0.0010 cls_loss_causal 0.4544 re_mapping 0.0032 re_causal 0.0100 /// teacc 99.20 lr 0.00010000 Epoch 356, weight, value: tensor([[-0.1294, 0.0577, 0.0793, ..., -0.0972, -0.1859, 0.0663], [-0.1288, -0.0658, -0.1409, ..., 0.1927, -0.1199, -0.0965], [-0.0636, 0.0163, 0.2465, ..., -0.1544, -0.1679, -0.1745], ..., [-0.1774, -0.0758, 0.0301, ..., -0.0613, 0.1336, -0.1009], [-0.1366, -0.1009, -0.0922, ..., -0.1534, -0.0186, -0.2221], [-0.2096, -0.0798, -0.1607, ..., -0.2164, -0.0422, 0.1510]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -4.6566e-10, ..., 9.3132e-10, 2.3283e-09, 4.6566e-10], [ 2.3283e-09, 0.0000e+00, 1.6764e-08, ..., 1.5507e-07, 5.8953e-07, 4.6566e-10], [-2.7940e-09, 0.0000e+00, -1.5832e-08, ..., 2.3283e-09, 1.9558e-08, 4.6566e-10], ..., [ 1.8626e-09, 0.0000e+00, -3.4925e-08, ..., -1.9511e-07, -7.5810e-07, 7.9162e-09], [ 1.3970e-09, 0.0000e+00, 1.0710e-08, ..., 1.2107e-08, 5.8673e-08, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, 6.5193e-09, ..., 9.7789e-09, 4.0513e-08, -1.6764e-08]], device='cuda:0') Epoch 356, bias, value: tensor([-0.0388, -0.0355, 0.0102, 0.0248, -0.0146, 0.0061, -0.0113, 0.0179, 0.0079, -0.0056], device='cuda:0'), grad: tensor([ 9.3132e-09, 1.8170e-06, -3.3528e-08, 3.0175e-07, 3.9116e-08, -1.1548e-07, -5.1223e-09, -2.2836e-06, 1.7835e-07, 9.4064e-08], device='cuda:0') 100 0.0001 changing lr epoch 355, time 214.14, cls_loss 0.0006 cls_loss_mapping 0.0018 cls_loss_causal 0.4925 re_mapping 0.0033 re_causal 0.0102 /// teacc 99.16 lr 0.00010000 Epoch 357, weight, value: tensor([[-0.1295, 0.0577, 0.0796, ..., -0.0971, -0.1859, 0.0667], [-0.1288, -0.0658, -0.1412, ..., 0.1928, -0.1200, -0.0966], [-0.0637, 0.0163, 0.2466, ..., -0.1548, -0.1679, -0.1747], ..., [-0.1776, -0.0758, 0.0301, ..., -0.0614, 0.1336, -0.1010], [-0.1358, -0.1009, -0.0922, ..., -0.1537, -0.0186, -0.2231], [-0.2096, -0.0798, -0.1611, ..., -0.2168, -0.0424, 0.1508]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 9.3132e-10, 0.0000e+00, 9.3132e-10], [ 1.3970e-09, 0.0000e+00, 2.5425e-07, ..., 9.2667e-08, 0.0000e+00, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -2.9337e-07, ..., -1.0710e-07, 0.0000e+00, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, 3.7253e-09, ..., 9.3132e-10, 0.0000e+00, 3.2596e-09], [ 0.0000e+00, 0.0000e+00, 2.3283e-09, ..., 4.6566e-10, 0.0000e+00, 0.0000e+00], [ 2.7940e-09, 0.0000e+00, 0.0000e+00, ..., 0.0000e+00, 0.0000e+00, -4.6566e-09]], device='cuda:0') Epoch 357, bias, value: tensor([-0.0386, -0.0356, 0.0103, 0.0252, -0.0147, 0.0056, -0.0111, 0.0179, 0.0079, -0.0059], device='cuda:0'), grad: tensor([ 6.9849e-09, 6.0257e-07, -6.8406e-07, 7.9162e-09, 7.4506e-09, -2.5146e-08, 7.1246e-08, 2.2817e-08, 3.2596e-09, -4.6566e-09], device='cuda:0') 100 0.0001 changing lr epoch 356, time 214.10, cls_loss 0.0007 cls_loss_mapping 0.0016 cls_loss_causal 0.4765 re_mapping 0.0032 re_causal 0.0100 /// teacc 99.09 lr 0.00010000 Epoch 358, weight, value: tensor([[-0.1296, 0.0577, 0.0798, ..., -0.0971, -0.1861, 0.0665], [-0.1289, -0.0658, -0.1415, ..., 0.1929, -0.1201, -0.0975], [-0.0635, 0.0163, 0.2466, ..., -0.1553, -0.1680, -0.1767], ..., [-0.1778, -0.0759, 0.0301, ..., -0.0614, 0.1336, -0.1013], [-0.1361, -0.1010, -0.0922, ..., -0.1541, -0.0186, -0.2205], [-0.2097, -0.0798, -0.1613, ..., -0.2170, -0.0425, 0.1511]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -3.0734e-08, ..., -6.0536e-09, 4.6566e-10, -6.6124e-08], [-5.1223e-09, 0.0000e+00, 6.9849e-09, ..., -2.0023e-08, 9.3132e-10, 1.8626e-08], [ 1.8626e-09, 0.0000e+00, -4.6566e-10, ..., 8.8476e-09, 1.3970e-09, 6.0536e-09], ..., [ 1.3970e-09, 0.0000e+00, -4.1910e-09, ..., 8.3819e-09, -1.0710e-08, 1.4901e-08], [ 9.3132e-10, 0.0000e+00, 4.6566e-09, ..., 4.1910e-09, 9.3132e-10, 1.4435e-08], [ 0.0000e+00, 0.0000e+00, 1.9092e-08, ..., 9.3132e-10, 7.4506e-09, -3.2596e-09]], device='cuda:0') Epoch 358, bias, value: tensor([-0.0394, -0.0359, 0.0101, 0.0247, -0.0147, 0.0088, -0.0141, 0.0179, 0.0080, -0.0059], device='cuda:0'), grad: tensor([-1.4622e-07, 1.3970e-09, 2.6077e-08, 2.1886e-08, 3.3062e-08, 1.8626e-09, 1.3970e-09, 5.3085e-08, 1.6298e-08, -1.8626e-09], device='cuda:0') 100 0.0001 changing lr epoch 357, time 214.68, cls_loss 0.0005 cls_loss_mapping 0.0014 cls_loss_causal 0.4657 re_mapping 0.0033 re_causal 0.0103 /// teacc 99.14 lr 0.00010000 Epoch 359, weight, value: tensor([[-0.1303, 0.0578, 0.0798, ..., -0.0971, -0.1862, 0.0665], [-0.1290, -0.0658, -0.1416, ..., 0.1944, -0.1201, -0.0973], [-0.0631, 0.0163, 0.2466, ..., -0.1554, -0.1680, -0.1768], ..., [-0.1782, -0.0759, 0.0301, ..., -0.0628, 0.1336, -0.1018], [-0.1369, -0.1010, -0.0922, ..., -0.1542, -0.0186, -0.2206], [-0.2098, -0.0799, -0.1615, ..., -0.2176, -0.0427, 0.1515]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.3970e-09, ..., 9.3132e-10, 4.6566e-09, 1.1176e-08], [ 7.4506e-09, 0.0000e+00, 9.3132e-10, ..., 3.2596e-09, 1.8626e-09, 4.1910e-09], [ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 4.6566e-10, 1.8626e-09, 2.3283e-09], ..., [ 2.3283e-09, 0.0000e+00, -4.6566e-10, ..., 0.0000e+00, 1.8626e-09, 1.4435e-08], [ 1.3970e-09, 0.0000e+00, 9.3132e-10, ..., -1.8626e-09, 9.3132e-10, 4.1910e-09], [ 8.3819e-09, 0.0000e+00, 9.3132e-10, ..., 4.6566e-10, 1.3970e-08, -1.6298e-08]], device='cuda:0') Epoch 359, bias, value: tensor([-0.0394, -0.0353, 0.0102, 0.0246, -0.0149, 0.0088, -0.0140, 0.0179, 0.0080, -0.0057], device='cuda:0'), grad: tensor([ 3.9116e-08, 4.4703e-08, 1.0245e-08, 7.9628e-08, -8.3819e-09, -1.9511e-07, 2.6543e-08, 4.1444e-08, -2.2817e-08, -7.9162e-09], device='cuda:0') 100 0.0001 changing lr epoch 358, time 214.39, cls_loss 0.0006 cls_loss_mapping 0.0012 cls_loss_causal 0.4869 re_mapping 0.0031 re_causal 0.0100 /// teacc 99.10 lr 0.00010000 Epoch 360, weight, value: tensor([[-0.1305, 0.0578, 0.0800, ..., -0.0971, -0.1864, 0.0667], [-0.1293, -0.0658, -0.1417, ..., 0.1946, -0.1202, -0.0974], [-0.0632, 0.0164, 0.2467, ..., -0.1555, -0.1680, -0.1771], ..., [-0.1791, -0.0759, 0.0301, ..., -0.0631, 0.1336, -0.1027], [-0.1382, -0.1010, -0.0922, ..., -0.1545, -0.0186, -0.2208], [-0.2101, -0.0799, -0.1616, ..., -0.2177, -0.0427, 0.1520]], device='cuda:0'), grad: tensor([[ 2.1886e-08, 0.0000e+00, -9.3132e-09, ..., -4.6566e-10, 1.0245e-08, -5.5879e-09], [ 1.5693e-07, 0.0000e+00, 3.4925e-08, ..., -1.3504e-08, 1.2480e-07, 2.3283e-09], [ 1.4901e-08, 0.0000e+00, 2.6077e-08, ..., 1.8626e-09, 4.6566e-08, 2.3283e-09], ..., [ 2.1420e-07, 0.0000e+00, -1.4529e-07, ..., 5.5879e-09, -9.1456e-07, 3.4925e-08], [ 4.0047e-08, 0.0000e+00, 1.1176e-08, ..., 3.7253e-09, 2.4214e-08, 1.3970e-09], [ 1.4137e-06, 0.0000e+00, 1.7136e-07, ..., 9.3132e-10, 6.4913e-07, -6.8918e-08]], device='cuda:0') Epoch 360, bias, value: tensor([-0.0393, -0.0354, 0.0102, 0.0247, -0.0145, 0.0088, -0.0142, 0.0179, 0.0080, -0.0058], device='cuda:0'), grad: tensor([ 6.3796e-08, 8.6194e-07, 2.3190e-07, 3.6322e-08, -3.8184e-06, 1.0431e-07, 9.5461e-08, -3.4198e-06, 2.0768e-07, 5.6587e-06], device='cuda:0') 100 0.0001 changing lr epoch 359, time 214.09, cls_loss 0.0006 cls_loss_mapping 0.0014 cls_loss_causal 0.4513 re_mapping 0.0032 re_causal 0.0100 /// teacc 99.14 lr 0.00010000 Epoch 361, weight, value: tensor([[-0.1305, 0.0578, 0.0802, ..., -0.0972, -0.1865, 0.0667], [-0.1294, -0.0658, -0.1419, ..., 0.1946, -0.1203, -0.0985], [-0.0633, 0.0164, 0.2470, ..., -0.1556, -0.1681, -0.1776], ..., [-0.1802, -0.0759, 0.0300, ..., -0.0631, 0.1336, -0.1030], [-0.1387, -0.1010, -0.0922, ..., -0.1548, -0.0186, -0.2211], [-0.2107, -0.0799, -0.1619, ..., -0.2178, -0.0428, 0.1526]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -5.7742e-08, ..., -5.5879e-09, 4.6566e-10, -7.4971e-08], [ 0.0000e+00, 0.0000e+00, 7.9162e-09, ..., -2.3283e-09, 9.3132e-09, 2.7940e-09], [-9.3132e-10, 0.0000e+00, -1.8626e-09, ..., -0.0000e+00, 3.2596e-09, 1.8626e-09], ..., [ 0.0000e+00, 0.0000e+00, -3.1199e-08, ..., 9.3132e-10, -5.9605e-08, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 8.3819e-09, ..., 2.7940e-09, 2.7940e-09, 4.1910e-09], [ 0.0000e+00, 0.0000e+00, 5.7742e-08, ..., 5.1223e-09, 3.3993e-08, 5.2620e-08]], device='cuda:0') Epoch 361, bias, value: tensor([-0.0393, -0.0356, 0.0105, 0.0245, -0.0139, 0.0088, -0.0141, 0.0179, 0.0080, -0.0061], device='cuda:0'), grad: tensor([-2.0396e-07, 3.3528e-08, 1.0710e-08, -1.6950e-07, 1.1642e-08, 1.2992e-07, 2.3283e-08, -1.2154e-07, 5.8673e-08, 2.4121e-07], device='cuda:0') 100 0.0001 changing lr epoch 360, time 214.30, cls_loss 0.0005 cls_loss_mapping 0.0016 cls_loss_causal 0.4797 re_mapping 0.0033 re_causal 0.0103 /// teacc 99.14 lr 0.00010000 Epoch 362, weight, value: tensor([[-0.1309, 0.0578, 0.0805, ..., -0.0971, -0.1865, 0.0670], [-0.1294, -0.0658, -0.1420, ..., 0.1963, -0.1203, -0.0989], [-0.0633, 0.0164, 0.2471, ..., -0.1559, -0.1681, -0.1797], ..., [-0.1805, -0.0759, 0.0300, ..., -0.0648, 0.1336, -0.1033], [-0.1391, -0.1010, -0.0923, ..., -0.1551, -0.0186, -0.2214], [-0.2110, -0.0799, -0.1621, ..., -0.2185, -0.0431, 0.1529]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.3970e-09, ..., -4.6566e-10, 4.6566e-10, 9.3132e-10], [-0.0000e+00, 0.0000e+00, 3.6322e-08, ..., -4.1444e-08, 2.3749e-08, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, -1.1455e-07, ..., 2.3283e-09, 8.3819e-09, 1.8626e-09], ..., [ 0.0000e+00, 0.0000e+00, -4.2841e-08, ..., 1.6298e-08, -6.7055e-08, 4.7963e-08], [ 0.0000e+00, 0.0000e+00, 2.1886e-08, ..., 6.9849e-09, 8.8476e-09, 1.4901e-08], [ 0.0000e+00, 0.0000e+00, 3.7719e-08, ..., 2.3283e-09, 1.7229e-08, -1.2247e-07]], device='cuda:0') Epoch 362, bias, value: tensor([-0.0391, -0.0346, 0.0106, 0.0241, -0.0138, 0.0089, -0.0141, 0.0178, 0.0080, -0.0063], device='cuda:0'), grad: tensor([ 4.7032e-08, 4.2841e-08, -1.3085e-07, -1.5460e-07, 3.7299e-07, 8.2888e-08, 1.7229e-08, 2.0908e-07, 2.0163e-07, -6.8778e-07], device='cuda:0') 100 0.0001 changing lr epoch 361, time 214.47, cls_loss 0.0006 cls_loss_mapping 0.0018 cls_loss_causal 0.4838 re_mapping 0.0031 re_causal 0.0099 /// teacc 99.18 lr 0.00010000 Epoch 363, weight, value: tensor([[-0.1324, 0.0574, 0.0809, ..., -0.0971, -0.1869, 0.0674], [-0.1291, -0.0659, -0.1421, ..., 0.1968, -0.1209, -0.0994], [-0.0634, 0.0163, 0.2472, ..., -0.1563, -0.1681, -0.1803], ..., [-0.1807, -0.0763, 0.0300, ..., -0.0649, 0.1337, -0.1035], [-0.1401, -0.1011, -0.0923, ..., -0.1561, -0.0187, -0.2217], [-0.2111, -0.0800, -0.1625, ..., -0.2190, -0.0435, 0.1533]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 0.0000e+00, -2.3283e-09], [ 9.3132e-10, 0.0000e+00, 1.4901e-08, ..., -1.5832e-08, 0.0000e+00, 4.6566e-10], [ 4.6566e-10, 0.0000e+00, -1.0710e-07, ..., 4.6566e-10, 0.0000e+00, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, 1.5367e-08, ..., 1.1642e-08, 0.0000e+00, 1.3970e-09], [-4.6566e-10, 0.0000e+00, 4.3306e-08, ..., 4.6566e-10, -0.0000e+00, 1.3970e-09], [ 3.1665e-08, 0.0000e+00, 3.7253e-09, ..., 4.6566e-10, 0.0000e+00, -8.8476e-09]], device='cuda:0') Epoch 363, bias, value: tensor([-0.0389, -0.0347, 0.0106, 0.0243, -0.0143, 0.0088, -0.0141, 0.0178, 0.0080, -0.0062], device='cuda:0'), grad: tensor([ 7.4506e-09, 1.0245e-08, -1.9837e-07, -6.9849e-08, -1.0710e-08, 5.9605e-08, -4.6566e-10, 8.5682e-08, 9.0804e-08, 4.4238e-08], device='cuda:0') 100 0.0001 changing lr epoch 362, time 214.28, cls_loss 0.0006 cls_loss_mapping 0.0012 cls_loss_causal 0.4841 re_mapping 0.0031 re_causal 0.0101 /// teacc 99.15 lr 0.00010000 Epoch 364, weight, value: tensor([[-0.1330, 0.0573, 0.0813, ..., -0.0971, -0.1871, 0.0676], [-0.1282, -0.0659, -0.1423, ..., 0.1978, -0.1209, -0.0996], [-0.0637, 0.0163, 0.2472, ..., -0.1566, -0.1681, -0.1805], ..., [-0.1814, -0.0763, 0.0300, ..., -0.0651, 0.1337, -0.1042], [-0.1412, -0.1011, -0.0923, ..., -0.1568, -0.0187, -0.2217], [-0.2093, -0.0800, -0.1628, ..., -0.2193, -0.0435, 0.1543]], device='cuda:0'), grad: tensor([[ 1.5832e-08, 0.0000e+00, -1.3970e-09, ..., 1.3970e-08, 1.8626e-09, -1.8626e-09], [ 4.1910e-09, 0.0000e+00, 1.2573e-08, ..., -6.0536e-09, 1.6764e-08, 0.0000e+00], [ 4.6566e-09, 0.0000e+00, 2.0489e-08, ..., 4.1910e-09, 8.3819e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -5.4482e-08, ..., 2.7940e-09, -8.1956e-08, 9.3132e-10], [ 3.0734e-08, 0.0000e+00, -2.0955e-08, ..., 2.6543e-08, 5.5879e-09, 0.0000e+00], [ 5.1223e-09, 0.0000e+00, 3.8184e-08, ..., 9.3132e-10, 9.0338e-08, -1.8626e-09]], device='cuda:0') Epoch 364, bias, value: tensor([-0.0389, -0.0337, 0.0106, 0.0260, -0.0177, 0.0084, -0.0141, 0.0178, 0.0080, -0.0034], device='cuda:0'), grad: tensor([ 7.5437e-08, 1.1874e-07, 8.3447e-07, 1.6904e-07, 1.6065e-07, -7.9628e-08, -3.0920e-07, -6.2864e-08, -1.1474e-06, 2.5099e-07], device='cuda:0') 100 0.0001 changing lr epoch 363, time 214.25, cls_loss 0.0006 cls_loss_mapping 0.0010 cls_loss_causal 0.4790 re_mapping 0.0031 re_causal 0.0098 /// teacc 99.12 lr 0.00010000 Epoch 365, weight, value: tensor([[-0.1334, 0.0573, 0.0816, ..., -0.0972, -0.1875, 0.0677], [-0.1262, -0.0659, -0.1428, ..., 0.1990, -0.1211, -0.0997], [-0.0639, 0.0163, 0.2472, ..., -0.1564, -0.1682, -0.1812], ..., [-0.1818, -0.0763, 0.0300, ..., -0.0652, 0.1337, -0.1043], [-0.1399, -0.1011, -0.0923, ..., -0.1572, -0.0187, -0.2218], [-0.2094, -0.0800, -0.1631, ..., -0.2196, -0.0437, 0.1543]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -4.4703e-08, ..., -2.7008e-08, 4.1910e-09, -7.5437e-08], [ 1.9092e-08, 0.0000e+00, 2.2724e-07, ..., 9.3132e-10, 1.4575e-07, 1.8626e-09], [ 1.2107e-08, 0.0000e+00, 3.6135e-07, ..., 4.6566e-10, 2.7101e-07, 4.6566e-10], ..., [-3.2131e-08, 0.0000e+00, -1.1120e-06, ..., 4.6566e-10, -8.1770e-07, 1.3970e-09], [ 5.5879e-09, 0.0000e+00, 1.0012e-07, ..., 4.6566e-10, 8.0559e-08, 1.3970e-09], [ 4.1444e-08, 0.0000e+00, 9.8720e-08, ..., 1.9092e-08, 4.7032e-08, 5.1223e-08]], device='cuda:0') Epoch 365, bias, value: tensor([-0.0388, -0.0322, 0.0106, 0.0262, -0.0187, 0.0084, -0.0141, 0.0178, 0.0080, -0.0035], device='cuda:0'), grad: tensor([-2.3749e-07, 6.0536e-07, 1.5069e-06, 2.5425e-06, 5.2620e-07, 5.1223e-08, 9.5461e-08, -2.6412e-06, -2.9244e-06, 4.6659e-07], device='cuda:0') 100 0.0001 changing lr epoch 364, time 214.17, cls_loss 0.0007 cls_loss_mapping 0.0014 cls_loss_causal 0.4667 re_mapping 0.0032 re_causal 0.0094 /// teacc 99.09 lr 0.00010000 Epoch 366, weight, value: tensor([[-0.1340, 0.0573, 0.0832, ..., -0.0970, -0.1876, 0.0697], [-0.1262, -0.0659, -0.1433, ..., 0.2009, -0.1211, -0.1003], [-0.0644, 0.0163, 0.2471, ..., -0.1569, -0.1683, -0.1823], ..., [-0.1821, -0.0763, 0.0301, ..., -0.0673, 0.1337, -0.1047], [-0.1414, -0.1011, -0.0923, ..., -0.1579, -0.0187, -0.2221], [-0.2095, -0.0800, -0.1647, ..., -0.2213, -0.0437, 0.1527]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -9.3132e-10, ..., 1.9092e-08, 2.3283e-09, 0.0000e+00], [ 3.7253e-09, 0.0000e+00, 6.9849e-09, ..., 5.5879e-09, 6.5193e-09, 1.3970e-09], [ 4.6566e-10, 0.0000e+00, 1.3504e-08, ..., 4.6566e-09, 1.2107e-08, 4.6566e-10], ..., [ 1.3970e-09, 0.0000e+00, -4.2841e-08, ..., 9.3132e-10, -4.0047e-08, 1.6764e-08], [ 4.6566e-10, 0.0000e+00, 3.7253e-09, ..., 1.5832e-08, 2.7940e-09, 3.2596e-09], [ 8.2422e-08, 0.0000e+00, 1.3504e-08, ..., 4.6566e-10, 1.4435e-08, -4.0513e-08]], device='cuda:0') Epoch 366, bias, value: tensor([-0.0378, -0.0315, 0.0105, 0.0261, -0.0188, 0.0083, -0.0140, 0.0177, 0.0080, -0.0039], device='cuda:0'), grad: tensor([ 1.0151e-07, 5.4482e-08, 5.7276e-08, -1.4901e-08, -8.3819e-08, 4.5169e-08, -2.6077e-07, -2.5611e-08, 9.5461e-08, 4.3772e-08], device='cuda:0') 100 0.0001 changing lr epoch 365, time 214.31, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4943 re_mapping 0.0032 re_causal 0.0097 /// teacc 99.09 lr 0.00010000 Epoch 367, weight, value: tensor([[-0.1363, 0.0573, 0.0838, ..., -0.0971, -0.1877, 0.0703], [-0.1262, -0.0659, -0.1436, ..., 0.2010, -0.1213, -0.1003], [-0.0646, 0.0163, 0.2472, ..., -0.1573, -0.1683, -0.1826], ..., [-0.1825, -0.0763, 0.0301, ..., -0.0674, 0.1337, -0.1048], [-0.1426, -0.1011, -0.0923, ..., -0.1582, -0.0187, -0.2223], [-0.2095, -0.0800, -0.1655, ..., -0.2215, -0.0438, 0.1523]], device='cuda:0'), grad: tensor([[ 6.8545e-07, 0.0000e+00, 2.0023e-08, ..., 7.5847e-06, 3.4925e-09, 2.1816e-07], [ 1.6531e-08, 0.0000e+00, 2.2585e-08, ..., 4.5635e-08, 5.5879e-09, 1.9558e-08], [-1.3970e-08, -0.0000e+00, -1.5134e-08, ..., 3.0966e-08, 5.5879e-09, 1.7462e-08], ..., [ 2.3283e-10, 0.0000e+00, 3.4552e-07, ..., 3.7253e-09, 6.0489e-07, 1.8161e-08], [ 8.3819e-09, 0.0000e+00, 2.8638e-08, ..., 2.0606e-07, 3.9581e-09, 5.4715e-08], [ 5.5879e-09, 0.0000e+00, -4.7497e-08, ..., 8.0094e-08, 3.0268e-09, -4.7148e-07]], device='cuda:0') Epoch 367, bias, value: tensor([-0.0376, -0.0316, 0.0104, 0.0261, -0.0189, 0.0083, -0.0138, 0.0177, 0.0080, -0.0040], device='cuda:0'), grad: tensor([ 3.0965e-05, 2.9919e-07, 1.6019e-07, -4.6790e-06, 1.6475e-06, 8.0373e-07, -3.3855e-05, 4.4182e-06, 1.0375e-06, -7.9768e-07], device='cuda:0') 100 0.0001 changing lr epoch 366, time 214.69, cls_loss 0.0005 cls_loss_mapping 0.0010 cls_loss_causal 0.4550 re_mapping 0.0031 re_causal 0.0101 /// teacc 99.12 lr 0.00010000 Epoch 368, weight, value: tensor([[-0.1385, 0.0573, 0.0841, ..., -0.0973, -0.1878, 0.0706], [-0.1263, -0.0659, -0.1437, ..., 0.2010, -0.1214, -0.1007], [-0.0651, 0.0163, 0.2471, ..., -0.1575, -0.1685, -0.1830], ..., [-0.1829, -0.0763, 0.0301, ..., -0.0675, 0.1337, -0.1049], [-0.1406, -0.1011, -0.0923, ..., -0.1582, -0.0187, -0.2222], [-0.2096, -0.0800, -0.1657, ..., -0.2216, -0.0439, 0.1523]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -5.3551e-09, ..., 0.0000e+00, 0.0000e+00, -3.9581e-09], [ 2.3283e-10, 0.0000e+00, 9.5461e-09, ..., 2.3283e-10, 9.3132e-09, 2.3283e-10], [ 0.0000e+00, 0.0000e+00, 2.4214e-08, ..., 2.3283e-10, 2.3982e-08, 2.3283e-10], ..., [ 0.0000e+00, 0.0000e+00, -4.2841e-08, ..., 2.3283e-09, -4.1910e-08, 1.1642e-09], [ 0.0000e+00, 0.0000e+00, 3.2596e-09, ..., 6.9849e-10, 2.3283e-09, 6.9849e-10], [ 2.3283e-09, 0.0000e+00, 6.5193e-09, ..., 0.0000e+00, 5.1223e-09, -2.7940e-09]], device='cuda:0') Epoch 368, bias, value: tensor([-0.0376, -0.0317, 0.0104, 0.0257, -0.0188, 0.0083, -0.0167, 0.0177, 0.0095, -0.0041], device='cuda:0'), grad: tensor([-1.7462e-08, 2.3516e-08, 4.7497e-08, 9.3132e-09, 4.6566e-10, 3.7253e-09, 2.3283e-09, -7.9861e-08, 1.0012e-08, 1.2806e-08], device='cuda:0') 100 0.0001 changing lr epoch 367, time 214.34, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4664 re_mapping 0.0031 re_causal 0.0102 /// teacc 99.13 lr 0.00010000 Epoch 369, weight, value: tensor([[-0.1401, 0.0573, 0.0843, ..., -0.0973, -0.1879, 0.0707], [-0.1265, -0.0659, -0.1442, ..., 0.2011, -0.1217, -0.1009], [-0.0672, 0.0163, 0.2471, ..., -0.1583, -0.1685, -0.1834], ..., [-0.1833, -0.0763, 0.0302, ..., -0.0677, 0.1337, -0.1051], [-0.1386, -0.1011, -0.0923, ..., -0.1571, -0.0187, -0.2220], [-0.2097, -0.0800, -0.1664, ..., -0.2220, -0.0443, 0.1522]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 3.2596e-09, ..., -1.1176e-08, 1.8626e-09, -1.7229e-08], [ 9.3132e-10, 0.0000e+00, 1.7183e-07, ..., 7.3109e-08, 2.3190e-07, 3.7253e-09], [ 9.3132e-10, 0.0000e+00, 1.0850e-07, ..., 0.0000e+00, 8.7544e-08, 0.0000e+00], ..., [-1.1642e-08, 0.0000e+00, -4.6100e-07, ..., -6.5658e-08, -5.5321e-07, 3.7253e-09], [ 9.3132e-10, 0.0000e+00, 1.7695e-08, ..., -1.1642e-08, 2.1886e-08, 1.3970e-09], [ 7.4506e-09, 0.0000e+00, 7.8697e-08, ..., 7.4506e-09, 8.2888e-08, -8.8476e-09]], device='cuda:0') Epoch 369, bias, value: tensor([-0.0376, -0.0319, 0.0102, 0.0260, -0.0188, 0.0082, -0.0167, 0.0178, 0.0096, -0.0043], device='cuda:0'), grad: tensor([-4.4238e-08, 6.6962e-07, 2.2212e-07, 2.6124e-07, 6.0536e-08, 2.7474e-08, 3.3528e-08, -1.4035e-06, -4.6566e-08, 2.1700e-07], device='cuda:0') 100 0.0001 changing lr epoch 368, time 214.44, cls_loss 0.0025 cls_loss_mapping 0.0035 cls_loss_causal 0.4780 re_mapping 0.0029 re_causal 0.0095 /// teacc 99.14 lr 0.00010000 Epoch 370, weight, value: tensor([[-0.1417, 0.0573, 0.0848, ..., -0.0973, -0.1881, 0.0715], [-0.1264, -0.0659, -0.1460, ..., 0.2034, -0.1200, -0.1011], [-0.0698, 0.0163, 0.2469, ..., -0.1608, -0.1687, -0.1839], ..., [-0.1872, -0.0763, 0.0307, ..., -0.0698, 0.1316, -0.1053], [-0.1392, -0.1011, -0.0923, ..., -0.1580, -0.0187, -0.2223], [-0.2098, -0.0800, -0.1671, ..., -0.2226, -0.0452, 0.1520]], device='cuda:0'), grad: tensor([[ 3.2596e-09, 0.0000e+00, -1.3970e-09, ..., 2.1886e-08, 2.7940e-09, 2.3283e-09], [ 4.0513e-08, 0.0000e+00, 1.1176e-08, ..., 2.3283e-09, 2.6543e-08, 1.3970e-09], [ 1.0245e-08, 0.0000e+00, 3.2596e-09, ..., 9.7789e-09, 6.9849e-09, 9.3132e-10], ..., [ 1.0245e-08, 0.0000e+00, -4.0047e-08, ..., 4.6566e-10, -9.5926e-08, 1.0710e-08], [ 1.5832e-08, 0.0000e+00, 1.3970e-09, ..., 1.6764e-08, 4.6566e-09, 2.3283e-09], [ 1.8673e-07, 0.0000e+00, 2.0023e-08, ..., 4.6566e-10, -4.0978e-08, -1.9139e-07]], device='cuda:0') Epoch 370, bias, value: tensor([-0.0373, -0.0299, 0.0098, 0.0263, -0.0189, 0.0081, -0.0167, 0.0158, 0.0095, -0.0047], device='cuda:0'), grad: tensor([ 9.3132e-08, 1.6484e-07, 7.6368e-08, 1.0617e-07, 2.4680e-08, -6.6590e-08, -1.4435e-07, -1.6857e-07, 9.6392e-08, -1.6950e-07], device='cuda:0') 100 0.0001 changing lr epoch 369, time 214.44, cls_loss 0.0010 cls_loss_mapping 0.0025 cls_loss_causal 0.4802 re_mapping 0.0031 re_causal 0.0098 /// teacc 99.03 lr 0.00010000 Epoch 371, weight, value: tensor([[-0.1421, 0.0573, 0.0849, ..., -0.0973, -0.1885, 0.0716], [-0.1265, -0.0659, -0.1480, ..., 0.2018, -0.1199, -0.1013], [-0.0734, 0.0164, 0.2466, ..., -0.1645, -0.1691, -0.1842], ..., [-0.1885, -0.0765, 0.0316, ..., -0.0683, 0.1317, -0.1056], [-0.1408, -0.1011, -0.0923, ..., -0.1594, -0.0187, -0.2235], [-0.2099, -0.0800, -0.1673, ..., -0.2233, -0.0455, 0.1527]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -3.0268e-08, ..., 4.1910e-09, 0.0000e+00, -2.8405e-08], [ 2.7940e-09, 0.0000e+00, 4.6566e-10, ..., -7.7300e-08, 0.0000e+00, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, -1.6764e-08, ..., 3.3062e-08, 0.0000e+00, 4.6566e-09], ..., [ 1.8626e-09, 0.0000e+00, 1.8626e-09, ..., 3.2131e-08, 4.6566e-10, 5.5879e-09], [ 4.6566e-10, 0.0000e+00, 1.4435e-08, ..., 3.7253e-09, -9.3132e-10, 5.1223e-09], [ 1.1642e-08, 0.0000e+00, 1.5367e-08, ..., 1.8626e-09, 0.0000e+00, -1.1642e-08]], device='cuda:0') Epoch 371, bias, value: tensor([-0.0373, -0.0301, 0.0088, 0.0286, -0.0192, 0.0058, -0.0167, 0.0160, 0.0095, -0.0047], device='cuda:0'), grad: tensor([-5.3085e-08, -1.5041e-07, 3.3062e-08, 2.6077e-08, 1.9558e-08, 6.9849e-09, 1.1642e-08, 9.9186e-08, 3.7719e-08, -2.0023e-08], device='cuda:0') 100 0.0001 changing lr epoch 370, time 214.12, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4395 re_mapping 0.0032 re_causal 0.0100 /// teacc 99.15 lr 0.00010000 Epoch 372, weight, value: tensor([[-0.1425, 0.0573, 0.0850, ..., -0.0974, -0.1887, 0.0716], [-0.1267, -0.0659, -0.1480, ..., 0.2018, -0.1200, -0.1013], [-0.0735, 0.0164, 0.2462, ..., -0.1648, -0.1697, -0.1845], ..., [-0.1890, -0.0765, 0.0318, ..., -0.0683, 0.1317, -0.1057], [-0.1410, -0.1012, -0.0923, ..., -0.1609, -0.0187, -0.2236], [-0.2100, -0.0801, -0.1675, ..., -0.2237, -0.0457, 0.1529]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, -1.1176e-08, ..., 1.8626e-09, 0.0000e+00, -1.3970e-09], [ 1.5367e-08, 0.0000e+00, 3.2596e-09, ..., -7.9162e-09, 1.8626e-09, 1.0245e-08], [ 3.2596e-09, 0.0000e+00, -3.7253e-09, ..., 2.7940e-09, 4.6566e-10, 9.3132e-10], ..., [ 7.9162e-09, 0.0000e+00, -3.7253e-09, ..., 5.1223e-09, -5.1223e-09, 2.3283e-08], [ 9.7789e-09, 0.0000e+00, 3.2596e-09, ..., 1.2573e-08, -1.3039e-08, 7.9162e-09], [ 3.5204e-07, 0.0000e+00, 4.8429e-08, ..., 0.0000e+00, 1.1176e-08, -2.3609e-07]], device='cuda:0') Epoch 372, bias, value: tensor([-0.0374, -0.0301, 0.0083, 0.0286, -0.0191, 0.0058, -0.0167, 0.0160, 0.0095, -0.0048], device='cuda:0'), grad: tensor([ 2.3283e-08, 9.1270e-08, 4.5355e-07, 2.0443e-07, -2.5844e-07, 1.1176e-07, 2.3609e-07, 1.8254e-07, -1.0766e-06, 4.0978e-08], device='cuda:0') 100 0.0001 changing lr epoch 371, time 214.55, cls_loss 0.0005 cls_loss_mapping 0.0009 cls_loss_causal 0.4662 re_mapping 0.0031 re_causal 0.0099 /// teacc 99.08 lr 0.00010000 Epoch 373, weight, value: tensor([[-0.1427, 0.0573, 0.0850, ..., -0.0975, -0.1888, 0.0716], [-0.1268, -0.0660, -0.1481, ..., 0.2018, -0.1200, -0.1024], [-0.0736, 0.0165, 0.2464, ..., -0.1649, -0.1697, -0.1876], ..., [-0.1899, -0.0765, 0.0317, ..., -0.0683, 0.1317, -0.1061], [-0.1417, -0.1012, -0.0924, ..., -0.1616, -0.0187, -0.2240], [-0.2101, -0.0801, -0.1677, ..., -0.2233, -0.0459, 0.1534]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, 0.0000e+00, ..., 1.8626e-09, 9.3132e-10, 9.3132e-10], [ 3.7253e-09, 0.0000e+00, 5.5879e-09, ..., -9.3132e-10, 7.4506e-09, 9.3132e-10], [ 2.7940e-09, 0.0000e+00, -4.6566e-09, ..., 9.3132e-10, 9.3132e-10, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -7.4506e-09, ..., 0.0000e+00, -1.1176e-08, 1.8626e-09], [ 2.7940e-09, 0.0000e+00, 2.7940e-09, ..., 4.6566e-09, 4.6566e-09, 2.7940e-09], [-4.1164e-07, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 2.7940e-09, -3.8184e-07]], device='cuda:0') Epoch 373, bias, value: tensor([-0.0375, -0.0301, 0.0084, 0.0285, -0.0191, 0.0057, -0.0167, 0.0160, 0.0095, -0.0045], device='cuda:0'), grad: tensor([ 1.9558e-08, 2.4214e-08, 0.0000e+00, 1.1083e-07, 1.4054e-06, -1.0990e-07, -1.3039e-08, -1.3039e-08, 9.3132e-10, -1.4286e-06], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 372---------------------------------------------------- epoch 372, time 231.60, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4416 re_mapping 0.0031 re_causal 0.0097 /// teacc 99.26 lr 0.00010000 Epoch 374, weight, value: tensor([[-0.1441, 0.0564, 0.0853, ..., -0.0976, -0.1888, 0.0717], [-0.1269, -0.0660, -0.1481, ..., 0.2019, -0.1200, -0.1025], [-0.0737, 0.0165, 0.2464, ..., -0.1668, -0.1697, -0.1881], ..., [-0.1909, -0.0766, 0.0317, ..., -0.0683, 0.1317, -0.1062], [-0.1411, -0.1012, -0.0924, ..., -0.1618, -0.0187, -0.2240], [-0.2103, -0.0801, -0.1680, ..., -0.2233, -0.0460, 0.1534]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.7940e-09, ..., 9.3132e-10, 0.0000e+00, -2.7940e-09], [-1.8626e-09, 1.8626e-09, 9.3132e-09, ..., -2.6077e-08, 0.0000e+00, 0.0000e+00], [ 4.6566e-09, -9.3132e-10, -2.2352e-08, ..., 1.3970e-08, 0.0000e+00, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, 6.5193e-09, ..., 1.2107e-08, 0.0000e+00, 9.3132e-10], [ 1.8626e-09, 0.0000e+00, 6.5193e-09, ..., 1.0245e-08, 0.0000e+00, 0.0000e+00], [ 1.1176e-08, 0.0000e+00, 1.8626e-09, ..., 3.7253e-09, 9.3132e-10, -4.6566e-09]], device='cuda:0') Epoch 374, bias, value: tensor([-0.0376, -0.0301, 0.0083, 0.0286, -0.0190, 0.0057, -0.0167, 0.0160, 0.0095, -0.0047], device='cuda:0'), grad: tensor([-3.7253e-09, -5.6811e-08, 2.7940e-09, 2.6077e-08, 1.5553e-07, 4.6566e-09, -1.8720e-07, 5.4017e-08, 3.9116e-08, -1.1176e-08], device='cuda:0') 100 0.0001 changing lr epoch 373, time 214.32, cls_loss 0.0005 cls_loss_mapping 0.0016 cls_loss_causal 0.4753 re_mapping 0.0032 re_causal 0.0101 /// teacc 99.17 lr 0.00010000 Epoch 375, weight, value: tensor([[-0.1434, 0.0564, 0.0858, ..., -0.0975, -0.1884, 0.0721], [-0.1269, -0.0660, -0.1481, ..., 0.2019, -0.1200, -0.1026], [-0.0742, 0.0166, 0.2465, ..., -0.1668, -0.1698, -0.1883], ..., [-0.1914, -0.0766, 0.0318, ..., -0.0683, 0.1318, -0.1066], [-0.1412, -0.1012, -0.0924, ..., -0.1621, -0.0187, -0.2244], [-0.2106, -0.0801, -0.1685, ..., -0.2235, -0.0463, 0.1536]], device='cuda:0'), grad: tensor([[ 3.5390e-08, 0.0000e+00, -1.8626e-09, ..., 3.2596e-08, 9.3132e-10, -2.7940e-09], [ 7.3574e-08, 0.0000e+00, 1.3039e-08, ..., -9.3132e-10, 7.4506e-09, 0.0000e+00], [ 2.7940e-09, 0.0000e+00, -4.1910e-08, ..., 1.8626e-09, 9.3132e-10, 0.0000e+00], ..., [ 6.5193e-09, 0.0000e+00, -6.5193e-09, ..., 4.6566e-09, -1.4901e-08, 1.8626e-09], [ 2.4214e-08, 0.0000e+00, 1.5832e-08, ..., 2.0489e-08, 1.8626e-09, 9.3132e-10], [ 6.6124e-08, 0.0000e+00, 7.4506e-09, ..., 2.7940e-09, 4.6566e-09, -9.3132e-10]], device='cuda:0') Epoch 375, bias, value: tensor([-0.0373, -0.0301, 0.0083, 0.0286, -0.0190, 0.0058, -0.0167, 0.0160, 0.0095, -0.0048], device='cuda:0'), grad: tensor([ 1.3225e-07, 1.2200e-07, -1.0617e-07, 3.4459e-08, 7.8231e-08, 8.6613e-08, -5.9139e-07, 1.8626e-09, 1.4435e-07, 9.4064e-08], device='cuda:0') 100 0.0001 changing lr epoch 374, time 214.18, cls_loss 0.0006 cls_loss_mapping 0.0016 cls_loss_causal 0.4706 re_mapping 0.0032 re_causal 0.0101 /// teacc 99.15 lr 0.00010000 Epoch 376, weight, value: tensor([[-0.1438, 0.0561, 0.0862, ..., -0.0978, -0.1890, 0.0723], [-0.1270, -0.0660, -0.1482, ..., 0.2019, -0.1200, -0.1027], [-0.0748, 0.0166, 0.2464, ..., -0.1679, -0.1701, -0.1905], ..., [-0.1923, -0.0766, 0.0318, ..., -0.0683, 0.1318, -0.1068], [-0.1417, -0.1013, -0.0924, ..., -0.1646, -0.0187, -0.2249], [-0.2107, -0.0801, -0.1688, ..., -0.2237, -0.0464, 0.1537]], device='cuda:0'), grad: tensor([[-1.8626e-09, 0.0000e+00, -0.0000e+00, ..., -3.7253e-09, 0.0000e+00, -2.7940e-09], [ 1.8626e-09, 0.0000e+00, 1.4901e-08, ..., -5.8673e-08, 9.3132e-10, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, -1.5367e-07, ..., 1.8626e-09, 0.0000e+00, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, 1.0617e-07, ..., 5.4948e-08, 0.0000e+00, 3.7253e-09], [ 9.3132e-10, 0.0000e+00, 2.4214e-08, ..., 2.7940e-09, 0.0000e+00, 0.0000e+00], [ 1.8626e-09, 0.0000e+00, 0.0000e+00, ..., 9.3132e-10, 0.0000e+00, -9.3132e-10]], device='cuda:0') Epoch 376, bias, value: tensor([-0.0374, -0.0301, 0.0080, 0.0286, -0.0190, 0.0058, -0.0165, 0.0160, 0.0094, -0.0048], device='cuda:0'), grad: tensor([-1.3970e-08, -1.8068e-07, -1.9744e-07, -9.2201e-08, 3.7253e-09, 4.0047e-08, 0.0000e+00, 3.8184e-07, 4.6566e-08, 2.5146e-08], device='cuda:0') 100 0.0001 changing lr epoch 375, time 214.35, cls_loss 0.0005 cls_loss_mapping 0.0013 cls_loss_causal 0.4398 re_mapping 0.0032 re_causal 0.0099 /// teacc 99.22 lr 0.00010000 Epoch 377, weight, value: tensor([[-0.1440, 0.0561, 0.0864, ..., -0.0978, -0.1891, 0.0725], [-0.1271, -0.0661, -0.1483, ..., 0.2019, -0.1200, -0.1030], [-0.0747, 0.0167, 0.2466, ..., -0.1682, -0.1701, -0.1905], ..., [-0.1949, -0.0767, 0.0319, ..., -0.0683, 0.1318, -0.1070], [-0.1424, -0.1013, -0.0925, ..., -0.1650, -0.0187, -0.2251], [-0.2111, -0.0801, -0.1693, ..., -0.2238, -0.0467, 0.1538]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, -1.3970e-07, ..., 1.8626e-09, 3.7253e-09, -2.3097e-07], [ 4.1910e-08, 0.0000e+00, 1.9651e-07, ..., 7.6368e-08, 4.3027e-07, 2.4308e-07], [ 1.8626e-09, 0.0000e+00, -1.9092e-07, ..., 9.3132e-10, 3.7439e-07, 2.7940e-09], ..., [ 3.7253e-09, 0.0000e+00, -6.9290e-07, ..., 3.7253e-09, -2.0824e-06, 5.5879e-09], [ 8.3819e-09, 0.0000e+00, 2.1420e-08, ..., 3.7253e-09, 5.0291e-08, 2.7940e-09], [ 1.1455e-07, 0.0000e+00, 1.8440e-07, ..., 7.4506e-09, 4.4703e-08, 2.3283e-07]], device='cuda:0') Epoch 377, bias, value: tensor([-0.0373, -0.0301, 0.0081, 0.0286, -0.0188, 0.0058, -0.0165, 0.0160, 0.0094, -0.0050], device='cuda:0'), grad: tensor([-3.7998e-07, 5.6401e-06, 5.9139e-07, -7.3388e-06, -1.2387e-07, 6.1132e-06, 1.3039e-08, -5.9195e-06, 2.2445e-07, 1.1474e-06], device='cuda:0') 100 0.0001 changing lr epoch 376, time 214.41, cls_loss 0.0007 cls_loss_mapping 0.0013 cls_loss_causal 0.4417 re_mapping 0.0032 re_causal 0.0095 /// teacc 99.07 lr 0.00010000 Epoch 378, weight, value: tensor([[-0.1449, 0.0560, 0.0864, ..., -0.0978, -0.1894, 0.0727], [-0.1276, -0.0661, -0.1486, ..., 0.2019, -0.1201, -0.1053], [-0.0752, 0.0170, 0.2470, ..., -0.1684, -0.1701, -0.1907], ..., [-0.1988, -0.0769, 0.0319, ..., -0.0683, 0.1318, -0.1076], [-0.1435, -0.1014, -0.0925, ..., -0.1653, -0.0187, -0.2225], [-0.2115, -0.0801, -0.1698, ..., -0.2241, -0.0475, 0.1558]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.9558e-08, ..., 1.8626e-09, 1.0245e-08, -4.6566e-09], [ 0.0000e+00, 0.0000e+00, 1.2666e-07, ..., -2.3283e-08, 7.2643e-08, -0.0000e+00], [ 0.0000e+00, 0.0000e+00, 5.1130e-07, ..., 2.7940e-09, 2.0117e-07, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -9.5554e-07, ..., 1.5832e-08, -4.1164e-07, 5.5879e-09], [-9.3132e-10, 0.0000e+00, 1.0245e-08, ..., 1.8626e-09, 8.3819e-09, 9.3132e-10], [ 5.5879e-09, 0.0000e+00, 5.7742e-08, ..., 9.3132e-10, 3.0734e-08, 6.5193e-09]], device='cuda:0') Epoch 378, bias, value: tensor([-0.0373, -0.0301, 0.0086, 0.0285, -0.0195, 0.0051, -0.0165, 0.0160, 0.0096, -0.0040], device='cuda:0'), grad: tensor([ 6.4261e-08, 3.2503e-07, 1.3467e-06, 4.4797e-07, 2.9802e-08, 1.6391e-07, -9.9652e-08, -2.4401e-06, -3.3528e-08, 2.0582e-07], device='cuda:0') 100 0.0001 changing lr epoch 377, time 214.09, cls_loss 0.0006 cls_loss_mapping 0.0018 cls_loss_causal 0.4560 re_mapping 0.0033 re_causal 0.0101 /// teacc 99.17 lr 0.00010000 Epoch 379, weight, value: tensor([[-0.1473, 0.0560, 0.0860, ..., -0.0986, -0.1897, 0.0726], [-0.1278, -0.0660, -0.1487, ..., 0.2019, -0.1201, -0.1062], [-0.0751, 0.0169, 0.2470, ..., -0.1687, -0.1703, -0.1911], ..., [-0.1999, -0.0772, 0.0318, ..., -0.0683, 0.1316, -0.1079], [-0.1436, -0.1014, -0.0925, ..., -0.1656, -0.0187, -0.2230], [-0.2128, -0.0801, -0.1704, ..., -0.2269, -0.0480, 0.1558]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, 1.0245e-08, ..., 1.3970e-08, 0.0000e+00, -2.7940e-09], [ 2.7940e-09, 0.0000e+00, 2.9802e-08, ..., -7.4506e-09, 1.3039e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -1.9837e-07, ..., 4.6566e-09, 1.4901e-08, 0.0000e+00], ..., [ 3.7253e-09, 0.0000e+00, 2.8051e-06, ..., 1.8626e-09, 2.2184e-06, 9.3132e-10], [-9.3132e-10, 0.0000e+00, 1.0245e-07, ..., 9.3132e-10, 7.4506e-09, 0.0000e+00], [ 3.3528e-08, 0.0000e+00, 1.6764e-08, ..., 0.0000e+00, 8.3819e-09, 2.7940e-09]], device='cuda:0') Epoch 379, bias, value: tensor([-0.0379, -0.0302, 0.0084, 0.0307, -0.0188, 0.0053, -0.0163, 0.0159, 0.0096, -0.0050], device='cuda:0'), grad: tensor([ 1.4529e-07, 1.7136e-07, -1.6009e-06, -1.1563e-05, 1.6019e-07, 4.1910e-08, 1.0431e-07, 1.1638e-05, 7.5717e-07, 1.2852e-07], device='cuda:0') 100 0.0001 changing lr epoch 378, time 214.31, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4545 re_mapping 0.0031 re_causal 0.0095 /// teacc 99.18 lr 0.00010000 Epoch 380, weight, value: tensor([[-0.1472, 0.0560, 0.0864, ..., -0.0987, -0.1900, 0.0729], [-0.1279, -0.0659, -0.1487, ..., 0.2019, -0.1201, -0.1066], [-0.0752, 0.0169, 0.2470, ..., -0.1693, -0.1705, -0.1920], ..., [-0.2003, -0.0774, 0.0318, ..., -0.0683, 0.1316, -0.1085], [-0.1427, -0.1015, -0.0925, ..., -0.1655, -0.0187, -0.2222], [-0.2127, -0.0801, -0.1708, ..., -0.2272, -0.0484, 0.1574]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -5.8673e-08, ..., 4.8429e-08, 9.3132e-10, -1.5832e-08], [ 9.3132e-10, 0.0000e+00, 6.5193e-09, ..., -1.5832e-08, 5.5879e-09, 4.6566e-09], [ 9.3132e-10, 0.0000e+00, 8.3819e-09, ..., 4.6566e-09, 9.3132e-10, 5.5879e-09], ..., [ 0.0000e+00, 0.0000e+00, 2.7008e-08, ..., 1.7695e-08, -1.0245e-08, 3.1665e-08], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.9558e-08, 3.7253e-09, 7.4506e-09], [ 6.5193e-09, 0.0000e+00, 1.1176e-08, ..., 3.7253e-09, 4.6566e-09, -5.2154e-08]], device='cuda:0') Epoch 380, bias, value: tensor([-0.0377, -0.0302, 0.0082, 0.0306, -0.0193, 0.0053, -0.0163, 0.0159, 0.0096, -0.0046], device='cuda:0'), grad: tensor([ 8.9407e-08, 6.5193e-09, 6.8918e-08, 1.1269e-07, 3.2596e-08, 2.6077e-08, -2.6729e-07, 1.6764e-07, -1.0431e-07, -1.0990e-07], device='cuda:0') 100 0.0001 changing lr epoch 379, time 214.48, cls_loss 0.0005 cls_loss_mapping 0.0016 cls_loss_causal 0.4538 re_mapping 0.0032 re_causal 0.0099 /// teacc 99.18 lr 0.00010000 Epoch 381, weight, value: tensor([[-0.1474, 0.0560, 0.0881, ..., -0.0987, -0.1881, 0.0743], [-0.1279, -0.0659, -0.1487, ..., 0.2019, -0.1201, -0.1067], [-0.0753, 0.0170, 0.2470, ..., -0.1694, -0.1705, -0.1926], ..., [-0.2011, -0.0774, 0.0319, ..., -0.0683, 0.1316, -0.1086], [-0.1420, -0.1015, -0.0925, ..., -0.1657, -0.0187, -0.2219], [-0.2128, -0.0802, -0.1722, ..., -0.2274, -0.0492, 0.1568]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -6.0350e-07, ..., 5.5879e-09, 1.3039e-08, -6.1002e-07], [ 5.4017e-08, 0.0000e+00, 7.9162e-08, ..., 8.0094e-08, 1.1921e-07, 1.6578e-07], [ 9.3132e-10, 0.0000e+00, 1.4622e-07, ..., 6.5193e-09, 1.7695e-08, 1.3784e-07], ..., [ 9.3132e-10, 0.0000e+00, -2.3749e-07, ..., 4.6566e-09, -6.4354e-07, 4.6566e-08], [-7.8231e-08, 0.0000e+00, 4.3772e-08, ..., -9.4064e-08, 6.8918e-08, -1.5087e-07], [ 9.3132e-09, 0.0000e+00, 1.8347e-07, ..., 1.5832e-08, 2.8778e-07, 1.1455e-07]], device='cuda:0') Epoch 381, bias, value: tensor([-0.0370, -0.0302, 0.0082, 0.0324, -0.0193, 0.0031, -0.0163, 0.0159, 0.0096, -0.0049], device='cuda:0'), grad: tensor([-2.3656e-06, 1.2964e-06, 6.3702e-07, 7.4226e-07, 3.4552e-07, -7.2643e-08, 7.7952e-07, -1.7500e-06, -8.4098e-07, 1.2312e-06], device='cuda:0') 100 0.0001 changing lr epoch 380, time 214.25, cls_loss 0.0006 cls_loss_mapping 0.0012 cls_loss_causal 0.4529 re_mapping 0.0031 re_causal 0.0097 /// teacc 99.11 lr 0.00010000 Epoch 382, weight, value: tensor([[-0.1451, 0.0560, 0.0882, ..., -0.0986, -0.1876, 0.0736], [-0.1279, -0.0659, -0.1488, ..., 0.2019, -0.1201, -0.1068], [-0.0764, 0.0170, 0.2471, ..., -0.1702, -0.1705, -0.1932], ..., [-0.2020, -0.0775, 0.0319, ..., -0.0683, 0.1317, -0.1088], [-0.1408, -0.1015, -0.0926, ..., -0.1651, -0.0187, -0.2220], [-0.2129, -0.0802, -0.1712, ..., -0.2275, -0.0494, 0.1584]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.5926e-07, ..., 9.3132e-09, 0.0000e+00, -2.1793e-07], [ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., -1.2573e-07, 2.7940e-09, 9.3132e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-08, ..., 1.0245e-08, 1.8626e-09, 1.3039e-08], ..., [ 0.0000e+00, 0.0000e+00, -4.6566e-09, ..., 9.6858e-08, -1.0245e-08, 9.3132e-09], [-0.0000e+00, 0.0000e+00, 6.5193e-09, ..., 1.9558e-08, 9.3132e-10, 9.3132e-09], [ 0.0000e+00, 0.0000e+00, 7.5437e-08, ..., 4.6566e-09, 5.5879e-09, 8.9407e-08]], device='cuda:0') Epoch 382, bias, value: tensor([-0.0378, -0.0302, 0.0082, 0.0325, -0.0193, 0.0030, -0.0164, 0.0159, 0.0096, -0.0036], device='cuda:0'), grad: tensor([-4.5262e-07, -1.4342e-07, 2.1700e-06, 2.6543e-07, 6.1467e-08, 2.1607e-07, 4.5635e-08, 5.0943e-07, -3.1739e-06, 5.1130e-07], device='cuda:0') 100 0.0001 changing lr epoch 381, time 214.53, cls_loss 0.0006 cls_loss_mapping 0.0015 cls_loss_causal 0.4569 re_mapping 0.0029 re_causal 0.0093 /// teacc 99.16 lr 0.00010000 Epoch 383, weight, value: tensor([[-0.1454, 0.0560, 0.0872, ..., -0.0987, -0.1878, 0.0724], [-0.1280, -0.0659, -0.1488, ..., 0.2019, -0.1201, -0.1069], [-0.0765, 0.0170, 0.2471, ..., -0.1703, -0.1706, -0.1951], ..., [-0.2031, -0.0775, 0.0319, ..., -0.0683, 0.1317, -0.1093], [-0.1409, -0.1015, -0.0926, ..., -0.1655, -0.0187, -0.2221], [-0.2129, -0.0802, -0.1706, ..., -0.2276, -0.0497, 0.1596]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -8.3819e-09, ..., 1.8626e-09, 9.3132e-10, -1.5832e-08], [-0.0000e+00, 0.0000e+00, 1.7416e-07, ..., -1.0245e-08, 1.2480e-07, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 1.9558e-08, ..., 0.0000e+00, 2.1420e-08, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -2.2445e-07, ..., 8.3819e-09, -1.6391e-07, 3.7253e-09], [ 9.3132e-10, 0.0000e+00, 1.6764e-08, ..., 2.7940e-09, 7.4506e-09, 1.8626e-09], [-9.3132e-10, 0.0000e+00, 1.7695e-08, ..., 0.0000e+00, 7.4506e-09, -7.4506e-09]], device='cuda:0') Epoch 383, bias, value: tensor([-0.0390, -0.0302, 0.0081, 0.0324, -0.0197, 0.0033, -0.0164, 0.0159, 0.0097, -0.0026], device='cuda:0'), grad: tensor([-2.9802e-08, 3.7719e-07, 4.1910e-08, 2.1420e-08, 3.5390e-08, 4.3772e-08, -4.6566e-08, -4.8522e-07, 5.2154e-08, -9.3132e-10], device='cuda:0') 100 0.0001 changing lr epoch 382, time 214.30, cls_loss 0.0005 cls_loss_mapping 0.0007 cls_loss_causal 0.4541 re_mapping 0.0030 re_causal 0.0097 /// teacc 99.15 lr 0.00010000 Epoch 384, weight, value: tensor([[-0.1455, 0.0560, 0.0874, ..., -0.0988, -0.1880, 0.0724], [-0.1280, -0.0660, -0.1489, ..., 0.2019, -0.1201, -0.1071], [-0.0767, 0.0170, 0.2471, ..., -0.1709, -0.1707, -0.1953], ..., [-0.2033, -0.0772, 0.0320, ..., -0.0683, 0.1317, -0.1096], [-0.1411, -0.1015, -0.0926, ..., -0.1661, -0.0187, -0.2222], [-0.2128, -0.0802, -0.1707, ..., -0.2277, -0.0500, 0.1597]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -4.8429e-08, ..., 0.0000e+00, 1.4901e-08, -1.0710e-07], [ 7.4506e-09, 0.0000e+00, 1.6764e-08, ..., 0.0000e+00, 7.0781e-08, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, -1.9558e-08, ..., 0.0000e+00, 4.0047e-08, 1.4901e-08], ..., [ 9.3132e-09, 0.0000e+00, -1.3970e-08, ..., 9.3132e-10, -1.0720e-06, 1.8626e-09], [ 1.8626e-09, 0.0000e+00, 1.3039e-08, ..., 0.0000e+00, 8.3819e-09, 4.6566e-09], [ 2.5146e-08, 0.0000e+00, 2.0489e-08, ..., 0.0000e+00, 9.8720e-08, 3.6322e-08]], device='cuda:0') Epoch 384, bias, value: tensor([-0.0390, -0.0302, 0.0079, 0.0321, -0.0199, 0.0036, -0.0164, 0.0159, 0.0096, -0.0025], device='cuda:0'), grad: tensor([-3.5111e-07, 1.6671e-07, 7.7300e-08, 5.5879e-08, 2.3283e-08, 1.5330e-06, 2.1420e-07, -2.1439e-06, 6.0536e-08, 3.6787e-07], device='cuda:0') 100 0.0001 changing lr epoch 383, time 214.30, cls_loss 0.0004 cls_loss_mapping 0.0009 cls_loss_causal 0.4275 re_mapping 0.0034 re_causal 0.0101 /// teacc 99.18 lr 0.00010000 Epoch 385, weight, value: tensor([[-0.1456, 0.0560, 0.0875, ..., -0.0988, -0.1882, 0.0725], [-0.1282, -0.0660, -0.1489, ..., 0.2019, -0.1201, -0.1072], [-0.0769, 0.0170, 0.2471, ..., -0.1712, -0.1707, -0.1955], ..., [-0.2046, -0.0772, 0.0320, ..., -0.0683, 0.1317, -0.1098], [-0.1414, -0.1016, -0.0926, ..., -0.1662, -0.0187, -0.2222], [-0.2129, -0.0802, -0.1708, ..., -0.2277, -0.0501, 0.1597]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -1.1176e-08, ..., 9.3132e-10, 9.3132e-10, -2.6748e-05], [ 4.7497e-08, 0.0000e+00, 2.7940e-09, ..., -1.8626e-09, 2.7940e-09, 7.6368e-08], [ 9.3132e-10, 0.0000e+00, -9.3132e-09, ..., 2.7940e-09, 9.3132e-10, 6.5193e-09], ..., [ 8.3819e-09, 0.0000e+00, 9.3132e-10, ..., 2.7940e-09, -5.5879e-09, 7.4506e-08], [ 3.7253e-09, 0.0000e+00, 4.6566e-09, ..., 9.3132e-10, 9.3132e-10, 1.0338e-07], [ 7.4320e-07, 0.0000e+00, 5.5879e-09, ..., 0.0000e+00, 9.3132e-10, 2.3041e-06]], device='cuda:0') Epoch 385, bias, value: tensor([-0.0389, -0.0302, 0.0079, 0.0321, -0.0199, 0.0035, -0.0164, 0.0159, 0.0097, -0.0025], device='cuda:0'), grad: tensor([-5.3436e-05, 2.4680e-07, -5.5879e-09, 1.8114e-06, -1.6475e-06, 4.3631e-05, 2.8778e-06, 1.8254e-07, 2.1607e-07, 6.1467e-06], device='cuda:0') 100 0.0001 changing lr epoch 384, time 214.34, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4512 re_mapping 0.0032 re_causal 0.0100 /// teacc 99.07 lr 0.00010000 Epoch 386, weight, value: tensor([[-0.1462, 0.0560, 0.0877, ..., -0.0988, -0.1883, 0.0726], [-0.1298, -0.0660, -0.1491, ..., 0.2019, -0.1201, -0.1078], [-0.0771, 0.0170, 0.2474, ..., -0.1710, -0.1708, -0.1962], ..., [-0.2064, -0.0772, 0.0320, ..., -0.0683, 0.1317, -0.1101], [-0.1421, -0.1016, -0.0926, ..., -0.1666, -0.0187, -0.2225], [-0.2130, -0.0802, -0.1710, ..., -0.2285, -0.0503, 0.1601]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -3.0827e-07, ..., 4.1910e-08, 0.0000e+00, -2.6636e-07], [ 1.2107e-08, 0.0000e+00, 2.0489e-08, ..., 4.0792e-07, 9.3132e-09, 6.5193e-09], [ 9.3132e-10, 0.0000e+00, -1.0803e-07, ..., 4.6566e-09, 6.5193e-09, 9.3132e-09], ..., [ 4.6566e-09, 0.0000e+00, 9.8720e-08, ..., 0.0000e+00, -2.3283e-08, 2.7940e-09], [-2.3283e-08, 0.0000e+00, 1.5832e-08, ..., 1.0245e-07, 9.3132e-10, 1.1176e-08], [ 2.7940e-09, 0.0000e+00, 2.5611e-07, ..., 0.0000e+00, 2.7940e-09, 2.1514e-07]], device='cuda:0') Epoch 386, bias, value: tensor([-0.0388, -0.0302, 0.0079, 0.0321, -0.0193, 0.0034, -0.0164, 0.0159, 0.0097, -0.0023], device='cuda:0'), grad: tensor([-6.8080e-07, 1.1520e-06, -1.0710e-07, 1.4249e-07, 5.5879e-09, 2.2445e-07, -1.4687e-06, 2.1420e-07, -1.6578e-07, 6.7055e-07], device='cuda:0') 100 0.0001 changing lr epoch 385, time 214.35, cls_loss 0.0007 cls_loss_mapping 0.0014 cls_loss_causal 0.4880 re_mapping 0.0031 re_causal 0.0096 /// teacc 99.09 lr 0.00010000 Epoch 387, weight, value: tensor([[-0.1467, 0.0560, 0.0897, ..., -0.0988, -0.1885, 0.0729], [-0.1301, -0.0660, -0.1491, ..., 0.2019, -0.1201, -0.1086], [-0.0772, 0.0170, 0.2475, ..., -0.1716, -0.1709, -0.1979], ..., [-0.2070, -0.0772, 0.0320, ..., -0.0683, 0.1318, -0.1105], [-0.1424, -0.1016, -0.0926, ..., -0.1668, -0.0187, -0.2228], [-0.2131, -0.0802, -0.1724, ..., -0.2287, -0.0507, 0.1600]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 9.3132e-10, 9.3132e-10, 9.3132e-10], [ 1.8626e-09, 0.0000e+00, 1.1176e-08, ..., -5.1595e-07, 1.7695e-08, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -5.3085e-08, ..., 2.7940e-09, 3.7253e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -5.5879e-09, ..., 4.4424e-07, -3.6322e-08, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 3.3528e-08, ..., 2.7940e-09, 2.7940e-09, 9.3132e-10], [ 9.0338e-08, 0.0000e+00, 5.5879e-09, ..., 1.8626e-09, 9.3132e-09, 3.7253e-09]], device='cuda:0') Epoch 387, bias, value: tensor([-0.0383, -0.0302, 0.0079, 0.0315, -0.0193, 0.0040, -0.0164, 0.0159, 0.0097, -0.0025], device='cuda:0'), grad: tensor([ 7.4506e-09, -1.2852e-06, -9.4064e-08, 2.7940e-09, 4.0978e-08, -1.0803e-07, 2.3283e-08, 1.1660e-06, 8.2888e-08, 1.7043e-07], device='cuda:0') 100 0.0001 changing lr epoch 386, time 214.20, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4757 re_mapping 0.0031 re_causal 0.0096 /// teacc 99.15 lr 0.00010000 Epoch 388, weight, value: tensor([[-0.1468, 0.0560, 0.0898, ..., -0.0988, -0.1887, 0.0729], [-0.1302, -0.0660, -0.1491, ..., 0.2019, -0.1202, -0.1087], [-0.0775, 0.0170, 0.2475, ..., -0.1722, -0.1709, -0.1980], ..., [-0.2075, -0.0772, 0.0320, ..., -0.0683, 0.1318, -0.1109], [-0.1426, -0.1016, -0.0927, ..., -0.1673, -0.0187, -0.2229], [-0.2132, -0.0802, -0.1726, ..., -0.2289, -0.0511, 0.1601]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 0.0000e+00, 3.7253e-09, 1.2107e-08], [ 1.8626e-09, 0.0000e+00, 5.5879e-09, ..., 1.6764e-08, 5.7742e-07, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, -6.7055e-08, ..., 0.0000e+00, 6.5193e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, 6.5193e-09, ..., -4.2841e-08, -1.3448e-06, 1.7695e-08], [-2.7008e-08, 0.0000e+00, 4.4703e-08, ..., 9.3132e-09, 3.6228e-07, 3.7253e-09], [ 2.1420e-08, 0.0000e+00, 1.8626e-09, ..., 1.0245e-08, 2.8685e-07, -1.0896e-07]], device='cuda:0') Epoch 388, bias, value: tensor([-0.0382, -0.0302, 0.0079, 0.0306, -0.0194, 0.0050, -0.0164, 0.0159, 0.0097, -0.0025], device='cuda:0'), grad: tensor([ 4.7497e-08, 2.1663e-06, -1.2293e-07, -2.7940e-09, 4.8708e-07, 8.0094e-08, 4.8429e-08, -4.9397e-06, 1.3523e-06, 8.8289e-07], device='cuda:0') 100 0.0001 changing lr epoch 387, time 214.16, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4695 re_mapping 0.0033 re_causal 0.0101 /// teacc 99.12 lr 0.00010000 Epoch 389, weight, value: tensor([[-0.1469, 0.0560, 0.0904, ..., -0.0989, -0.1888, 0.0731], [-0.1302, -0.0660, -0.1491, ..., 0.2019, -0.1202, -0.1087], [-0.0776, 0.0170, 0.2477, ..., -0.1728, -0.1710, -0.1984], ..., [-0.2085, -0.0772, 0.0320, ..., -0.0683, 0.1318, -0.1110], [-0.1432, -0.1016, -0.0927, ..., -0.1679, -0.0187, -0.2229], [-0.2133, -0.0802, -0.1732, ..., -0.2290, -0.0516, 0.1600]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 9.3132e-10, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -1.3970e-08, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -0.0000e+00, ..., 9.3132e-10, -1.8626e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.0245e-08, ..., 9.3132e-10, 0.0000e+00, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 0.0000e+00, 9.3132e-10, 0.0000e+00]], device='cuda:0') Epoch 389, bias, value: tensor([-0.0381, -0.0302, 0.0079, 0.0300, -0.0193, 0.0056, -0.0164, 0.0159, 0.0097, -0.0027], device='cuda:0'), grad: tensor([ 2.7940e-09, 8.3819e-09, -2.8871e-08, -1.1176e-08, 2.7940e-09, 5.5879e-09, 9.3132e-10, 3.7253e-09, 2.4214e-08, 1.8626e-09], device='cuda:0') 100 0.0001 changing lr epoch 388, time 214.46, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4517 re_mapping 0.0032 re_causal 0.0099 /// teacc 99.15 lr 0.00010000 Epoch 390, weight, value: tensor([[-0.1470, 0.0560, 0.0906, ..., -0.0990, -0.1890, 0.0731], [-0.1303, -0.0660, -0.1492, ..., 0.2019, -0.1202, -0.1088], [-0.0777, 0.0170, 0.2477, ..., -0.1730, -0.1711, -0.1990], ..., [-0.2085, -0.0772, 0.0322, ..., -0.0684, 0.1320, -0.1087], [-0.1435, -0.1016, -0.0927, ..., -0.1682, -0.0187, -0.2230], [-0.2135, -0.0802, -0.1748, ..., -0.2291, -0.0558, 0.1599]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -9.2201e-08, ..., 4.6566e-09, 0.0000e+00, -7.3574e-08], [ 9.3132e-10, 0.0000e+00, 1.7695e-08, ..., -4.3772e-08, 4.9360e-08, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 1.8626e-08, ..., 4.6566e-09, 5.5879e-09, 1.2107e-08], ..., [ 9.3132e-10, 0.0000e+00, -3.7253e-08, ..., 3.2596e-08, -1.1455e-07, 1.8626e-09], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 1.9558e-08, 5.5879e-09, 2.7940e-09], [ 6.5193e-09, 0.0000e+00, 4.0047e-08, ..., 1.8626e-09, 2.5146e-08, 2.8871e-08]], device='cuda:0') Epoch 390, bias, value: tensor([-0.0380, -0.0302, 0.0079, 0.0300, -0.0194, 0.0056, -0.0164, 0.0160, 0.0097, -0.0037], device='cuda:0'), grad: tensor([-1.6391e-07, 4.0978e-08, 2.7474e-07, -4.1723e-07, 5.5879e-09, 1.7416e-07, -6.0536e-08, -4.7497e-08, 2.8871e-08, 1.6857e-07], device='cuda:0') 100 0.0001 changing lr epoch 389, time 214.46, cls_loss 0.0005 cls_loss_mapping 0.0009 cls_loss_causal 0.4578 re_mapping 0.0028 re_causal 0.0092 /// teacc 99.17 lr 0.00010000 Epoch 391, weight, value: tensor([[-0.1471, 0.0560, 0.0910, ..., -0.0990, -0.1891, 0.0733], [-0.1303, -0.0660, -0.1493, ..., 0.2020, -0.1202, -0.1089], [-0.0778, 0.0170, 0.2479, ..., -0.1731, -0.1711, -0.1996], ..., [-0.2086, -0.0772, 0.0322, ..., -0.0684, 0.1320, -0.1089], [-0.1435, -0.1016, -0.0927, ..., -0.1688, -0.0187, -0.2230], [-0.2135, -0.0802, -0.1751, ..., -0.2291, -0.0562, 0.1598]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 2.0489e-08, ..., 0.0000e+00, 1.6764e-08, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, 3.9861e-07, ..., 0.0000e+00, 2.9895e-07, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 1.3886e-06, ..., 0.0000e+00, 1.0403e-06, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -2.5779e-06, ..., 9.3132e-10, -1.9316e-06, 6.5193e-09], [ 1.8626e-09, 0.0000e+00, 3.3807e-07, ..., 0.0000e+00, 2.5332e-07, 7.4506e-09], [-8.6613e-08, 0.0000e+00, 2.1607e-07, ..., 0.0000e+00, 1.5926e-07, -4.3306e-07]], device='cuda:0') Epoch 391, bias, value: tensor([-0.0379, -0.0302, 0.0081, 0.0300, -0.0194, 0.0055, -0.0165, 0.0160, 0.0097, -0.0038], device='cuda:0'), grad: tensor([ 9.6858e-08, 1.4864e-06, 5.1670e-06, 5.2527e-07, 1.5358e-06, 4.3772e-08, 1.0245e-08, -9.5293e-06, 1.2713e-06, -5.8953e-07], device='cuda:0') 100 0.0001 changing lr epoch 390, time 214.35, cls_loss 0.0004 cls_loss_mapping 0.0008 cls_loss_causal 0.4642 re_mapping 0.0030 re_causal 0.0097 /// teacc 99.19 lr 0.00010000 Epoch 392, weight, value: tensor([[-0.1472, 0.0560, 0.0914, ..., -0.0991, -0.1893, 0.0733], [-0.1303, -0.0660, -0.1494, ..., 0.2020, -0.1202, -0.1089], [-0.0789, 0.0170, 0.2479, ..., -0.1742, -0.1713, -0.2006], ..., [-0.2088, -0.0772, 0.0323, ..., -0.0684, 0.1321, -0.1091], [-0.1438, -0.1016, -0.0927, ..., -0.1691, -0.0187, -0.2231], [-0.2137, -0.0802, -0.1753, ..., -0.2292, -0.0565, 0.1599]], device='cuda:0'), grad: tensor([[ 4.4703e-08, 0.0000e+00, -3.7253e-09, ..., 1.0245e-08, 9.3132e-10, -1.8626e-09], [-8.7544e-08, 0.0000e+00, 0.0000e+00, ..., -3.2689e-07, 0.0000e+00, 0.0000e+00], [ 7.5437e-08, 0.0000e+00, 0.0000e+00, ..., 2.1886e-07, 0.0000e+00, 0.0000e+00], ..., [ 2.3283e-08, 0.0000e+00, 0.0000e+00, ..., 7.7300e-08, 0.0000e+00, 5.5879e-09], [ 9.3132e-10, 0.0000e+00, 9.3132e-10, ..., 6.5193e-09, 9.3132e-10, 9.3132e-10], [ 5.0291e-08, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 1.8626e-09, -1.8626e-09]], device='cuda:0') Epoch 392, bias, value: tensor([-0.0378, -0.0302, 0.0078, 0.0300, -0.0194, 0.0055, -0.0164, 0.0160, 0.0097, -0.0039], device='cuda:0'), grad: tensor([ 9.3132e-08, -6.3051e-07, 4.5449e-07, 3.4459e-08, -1.3411e-07, -2.2352e-08, -5.2154e-08, 1.6950e-07, 2.2352e-08, 7.1712e-08], device='cuda:0') 100 0.0001 changing lr epoch 391, time 214.36, cls_loss 0.0005 cls_loss_mapping 0.0010 cls_loss_causal 0.4652 re_mapping 0.0031 re_causal 0.0097 /// teacc 99.15 lr 0.00010000 Epoch 393, weight, value: tensor([[-0.1474, 0.0561, 0.0918, ..., -0.0990, -0.1894, 0.0734], [-0.1303, -0.0660, -0.1505, ..., 0.2019, -0.1202, -0.1104], [-0.0793, 0.0170, 0.2491, ..., -0.1714, -0.1713, -0.2010], ..., [-0.2090, -0.0773, 0.0323, ..., -0.0684, 0.1321, -0.1092], [-0.1438, -0.1016, -0.0928, ..., -0.1697, -0.0187, -0.2232], [-0.2137, -0.0803, -0.1755, ..., -0.2293, -0.0567, 0.1599]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -2.6077e-08, ..., 1.8626e-09, 0.0000e+00, -2.6543e-08], [-1.8626e-09, 0.0000e+00, 5.1223e-09, ..., -4.0047e-08, 2.3283e-09, 4.6566e-10], [ 1.6764e-08, 0.0000e+00, 2.0023e-08, ..., 1.6298e-08, 9.7789e-09, 1.8626e-09], ..., [ 8.8476e-09, 0.0000e+00, -3.2131e-08, ..., 2.6543e-08, -1.0245e-08, 1.3970e-09], [-4.6566e-10, 0.0000e+00, 2.3283e-09, ..., -4.6566e-10, 9.3132e-10, 4.6566e-10], [ 1.4110e-07, 0.0000e+00, 1.8161e-08, ..., 9.3132e-10, 5.5879e-09, 1.4901e-08]], device='cuda:0') Epoch 393, bias, value: tensor([-0.0379, -0.0302, 0.0096, 0.0300, -0.0195, 0.0054, -0.0164, 0.0160, 0.0097, -0.0039], device='cuda:0'), grad: tensor([-1.2247e-07, -4.7032e-08, 8.6613e-08, 2.7474e-08, -1.6484e-07, 4.8894e-08, 1.4901e-08, 4.9360e-08, -1.4901e-07, 2.6636e-07], device='cuda:0') 100 0.0001 changing lr epoch 392, time 214.34, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4761 re_mapping 0.0030 re_causal 0.0095 /// teacc 99.18 lr 0.00010000 Epoch 394, weight, value: tensor([[-0.1475, 0.0561, 0.0920, ..., -0.0991, -0.1894, 0.0736], [-0.1303, -0.0660, -0.1505, ..., 0.2020, -0.1202, -0.1105], [-0.0794, 0.0170, 0.2492, ..., -0.1715, -0.1714, -0.2012], ..., [-0.2100, -0.0768, 0.0323, ..., -0.0684, 0.1321, -0.1094], [-0.1433, -0.1016, -0.0928, ..., -0.1703, -0.0187, -0.2232], [-0.2138, -0.0804, -0.1757, ..., -0.2295, -0.0569, 0.1599]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.0489e-08, ..., 1.8626e-09, 0.0000e+00, -4.3772e-08], [ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., -1.6764e-08, 7.4506e-09, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 2.1420e-08, ..., 9.3132e-10, 2.4214e-08, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -7.2643e-08, ..., 1.3039e-08, -8.4750e-08, 1.3970e-08], [ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 1.2107e-08, 7.4506e-09, 4.6566e-09], [ 0.0000e+00, 0.0000e+00, 1.5832e-08, ..., 0.0000e+00, 1.2107e-08, -1.8626e-08]], device='cuda:0') Epoch 394, bias, value: tensor([-0.0377, -0.0302, 0.0096, 0.0300, -0.0196, 0.0054, -0.0163, 0.0160, 0.0097, -0.0040], device='cuda:0'), grad: tensor([-9.3132e-08, -1.8626e-08, 5.3085e-08, 7.9162e-08, 5.6811e-08, 5.4948e-08, -9.8720e-08, -9.8720e-08, 1.0990e-07, -3.1665e-08], device='cuda:0') 100 0.0001 changing lr epoch 393, time 214.17, cls_loss 0.0004 cls_loss_mapping 0.0007 cls_loss_causal 0.4643 re_mapping 0.0031 re_causal 0.0100 /// teacc 99.14 lr 0.00010000 Epoch 395, weight, value: tensor([[-0.1478, 0.0561, 0.0919, ..., -0.0994, -0.1897, 0.0736], [-0.1304, -0.0661, -0.1507, ..., 0.2020, -0.1202, -0.1105], [-0.0794, 0.0177, 0.2498, ..., -0.1716, -0.1715, -0.2013], ..., [-0.2105, -0.0771, 0.0323, ..., -0.0684, 0.1321, -0.1098], [-0.1434, -0.1017, -0.0928, ..., -0.1707, -0.0187, -0.2233], [-0.2139, -0.0805, -0.1760, ..., -0.2296, -0.0569, 0.1600]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.7940e-09, ..., 2.7940e-09, 9.3132e-10, -8.3819e-09], [ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., -9.3132e-10, 1.8626e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -1.5832e-08, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], ..., [-0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 9.3132e-10, -2.7940e-09, 1.7695e-08], [-1.8626e-09, 0.0000e+00, 5.5879e-09, ..., 9.3132e-10, 3.1665e-08, -1.2107e-08], [ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 9.3132e-10, -0.0000e+00]], device='cuda:0') Epoch 395, bias, value: tensor([-0.0378, -0.0302, 0.0102, 0.0299, -0.0196, 0.0054, -0.0163, 0.0160, 0.0097, -0.0040], device='cuda:0'), grad: tensor([-1.8626e-09, 1.4901e-08, -2.6077e-08, 6.2399e-08, 1.3970e-08, -1.8999e-07, 3.5390e-08, 7.4506e-08, -1.3597e-07, 1.6019e-07], device='cuda:0') 100 0.0001 changing lr epoch 394, time 214.24, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4971 re_mapping 0.0030 re_causal 0.0097 /// teacc 99.07 lr 0.00010000 Epoch 396, weight, value: tensor([[-0.1479, 0.0561, 0.0921, ..., -0.0995, -0.1903, 0.0736], [-0.1304, -0.0661, -0.1508, ..., 0.2020, -0.1203, -0.1107], [-0.0795, 0.0177, 0.2497, ..., -0.1717, -0.1719, -0.2022], ..., [-0.2109, -0.0771, 0.0324, ..., -0.0684, 0.1322, -0.1102], [-0.1430, -0.1017, -0.0928, ..., -0.1713, -0.0187, -0.2233], [-0.2140, -0.0805, -0.1763, ..., -0.2297, -0.0572, 0.1601]], device='cuda:0'), grad: tensor([[ 1.4901e-08, 0.0000e+00, 0.0000e+00, ..., -1.1176e-08, 8.3819e-09, -7.4506e-08], [ 5.7742e-08, 0.0000e+00, 6.0163e-07, ..., -1.5832e-08, 8.0932e-07, 4.6566e-09], [ 2.7940e-09, 0.0000e+00, 2.4214e-08, ..., 3.7253e-09, 4.0047e-08, 9.3132e-10], ..., [-8.1025e-08, 0.0000e+00, -9.0711e-07, ..., 5.5879e-09, -1.2275e-06, 2.2352e-08], [ 4.6566e-09, 0.0000e+00, 5.5879e-08, ..., 4.6566e-09, 8.0094e-08, 1.9558e-08], [ 3.7532e-07, 0.0000e+00, 1.0803e-07, ..., 0.0000e+00, 1.3970e-07, -4.3493e-07]], device='cuda:0') Epoch 396, bias, value: tensor([-0.0377, -0.0302, 0.0097, 0.0299, -0.0196, 0.0054, -0.0164, 0.0160, 0.0097, -0.0041], device='cuda:0'), grad: tensor([ 4.7497e-08, 3.0678e-06, 2.1327e-07, -1.5318e-04, 1.0040e-06, 1.5104e-04, 2.0452e-06, -4.4331e-06, 2.2259e-07, -1.9372e-07], device='cuda:0') 100 0.0001 changing lr epoch 395, time 214.15, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4873 re_mapping 0.0030 re_causal 0.0093 /// teacc 99.15 lr 0.00010000 Epoch 397, weight, value: tensor([[-0.1484, 0.0561, 0.0922, ..., -0.1001, -0.1906, 0.0737], [-0.1305, -0.0661, -0.1511, ..., 0.2020, -0.1203, -0.1109], [-0.0798, 0.0177, 0.2497, ..., -0.1719, -0.1720, -0.2026], ..., [-0.2114, -0.0771, 0.0326, ..., -0.0684, 0.1323, -0.1106], [-0.1441, -0.1017, -0.0928, ..., -0.1731, -0.0187, -0.2236], [-0.2143, -0.0805, -0.1765, ..., -0.2299, -0.0574, 0.1602]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, 8.3819e-09, ..., 9.3132e-10, 1.0245e-08, -1.3039e-08], [-9.3132e-10, 0.0000e+00, 5.5879e-08, ..., -9.3132e-09, 2.2352e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -1.5087e-07, ..., 0.0000e+00, 6.5193e-09, 9.3132e-10], ..., [ 9.3132e-10, 0.0000e+00, -1.3970e-08, ..., 5.5879e-09, -3.1665e-08, 2.7940e-09], [-7.4506e-09, 0.0000e+00, 1.3039e-08, ..., 2.7940e-09, 2.5146e-08, 1.0245e-08], [ 0.0000e+00, 0.0000e+00, 2.4214e-08, ..., 9.3132e-10, 3.5390e-08, 1.2107e-08]], device='cuda:0') Epoch 397, bias, value: tensor([-0.0379, -0.0302, 0.0096, 0.0303, -0.0198, 0.0050, -0.0162, 0.0160, 0.0097, -0.0041], device='cuda:0'), grad: tensor([ 6.7987e-08, 1.4715e-07, -3.2783e-07, 1.0550e-05, 1.5832e-08, -1.0587e-05, 7.7300e-08, -2.7940e-08, 1.8626e-09, 1.3225e-07], device='cuda:0') 100 0.0001 changing lr epoch 396, time 214.15, cls_loss 0.0005 cls_loss_mapping 0.0012 cls_loss_causal 0.4369 re_mapping 0.0030 re_causal 0.0090 /// teacc 99.13 lr 0.00010000 Epoch 398, weight, value: tensor([[-0.1490, 0.0561, 0.0925, ..., -0.1004, -0.1908, 0.0738], [-0.1306, -0.0661, -0.1512, ..., 0.2020, -0.1203, -0.1109], [-0.0800, 0.0177, 0.2499, ..., -0.1720, -0.1721, -0.2030], ..., [-0.2119, -0.0771, 0.0326, ..., -0.0684, 0.1323, -0.1109], [-0.1441, -0.1017, -0.0929, ..., -0.1736, -0.0187, -0.2238], [-0.2145, -0.0805, -0.1768, ..., -0.2301, -0.0576, 0.1602]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 2.7940e-09, -9.3132e-10], [ 0.0000e+00, 0.0000e+00, 6.4261e-08, ..., -3.7253e-09, 8.5682e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -1.8626e-08, ..., 0.0000e+00, 8.7544e-08, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -1.8440e-07, ..., 3.7253e-09, -5.0105e-07, -1.8626e-09], [ 0.0000e+00, 0.0000e+00, 7.6368e-08, ..., 0.0000e+00, 2.1886e-07, 1.8626e-09], [ 2.7940e-09, 0.0000e+00, 4.7497e-08, ..., 0.0000e+00, 8.7544e-08, 1.8626e-09]], device='cuda:0') Epoch 398, bias, value: tensor([-0.0379, -0.0302, 0.0098, 0.0304, -0.0198, 0.0049, -0.0161, 0.0160, 0.0096, -0.0042], device='cuda:0'), grad: tensor([ 9.3132e-09, 2.6915e-07, 1.0896e-07, 2.7940e-08, 3.5390e-08, 1.8626e-09, 2.7940e-09, -1.9148e-06, 1.1111e-06, 3.4180e-07], device='cuda:0') 100 0.0001 changing lr epoch 397, time 214.21, cls_loss 0.0006 cls_loss_mapping 0.0012 cls_loss_causal 0.4417 re_mapping 0.0029 re_causal 0.0091 /// teacc 99.15 lr 0.00010000 Epoch 399, weight, value: tensor([[-0.1498, 0.0561, 0.0925, ..., -0.1008, -0.1916, 0.0737], [-0.1306, -0.0661, -0.1513, ..., 0.2020, -0.1203, -0.1110], [-0.0802, 0.0177, 0.2500, ..., -0.1722, -0.1722, -0.2034], ..., [-0.2130, -0.0772, 0.0327, ..., -0.0685, 0.1323, -0.1116], [-0.1445, -0.1017, -0.0929, ..., -0.1741, -0.0187, -0.2240], [-0.2148, -0.0805, -0.1771, ..., -0.2302, -0.0581, 0.1604]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -5.5879e-09, 2.7940e-09, ..., 0.0000e+00, 5.5879e-09, -5.8673e-08], [ 9.3132e-10, 9.3132e-10, 2.3283e-08, ..., -1.3039e-08, 5.9605e-08, 4.6566e-09], [ 0.0000e+00, 0.0000e+00, 1.9558e-08, ..., 0.0000e+00, 1.2107e-08, 9.3132e-10], ..., [ 9.3132e-10, 1.8626e-09, -1.5553e-07, ..., 8.3819e-09, -4.3865e-07, 2.0489e-08], [ 0.0000e+00, 9.3132e-10, -4.8429e-08, ..., 1.8626e-09, 2.1420e-08, 9.3132e-09], [ 9.3132e-09, 1.8626e-09, 1.3225e-07, ..., 0.0000e+00, 3.1572e-07, 2.5146e-08]], device='cuda:0') Epoch 399, bias, value: tensor([-0.0381, -0.0302, 0.0097, 0.0304, -0.0198, 0.0049, -0.0161, 0.0160, 0.0096, -0.0041], device='cuda:0'), grad: tensor([ 2.0489e-08, 2.1141e-07, 1.5367e-07, 6.5565e-07, -9.3132e-10, -4.8149e-07, 6.2399e-08, -1.4966e-06, -3.9767e-07, 1.2796e-06], device='cuda:0') 100 0.0001 changing lr epoch 398, time 214.42, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4619 re_mapping 0.0031 re_causal 0.0093 /// teacc 99.18 lr 0.00010000 Epoch 400, weight, value: tensor([[-0.1500, 0.0561, 0.0926, ..., -0.1010, -0.1919, 0.0737], [-0.1308, -0.0662, -0.1513, ..., 0.2020, -0.1203, -0.1111], [-0.0804, 0.0155, 0.2499, ..., -0.1742, -0.1725, -0.2036], ..., [-0.2156, -0.0775, 0.0328, ..., -0.0685, 0.1324, -0.1117], [-0.1445, -0.1020, -0.0929, ..., -0.1746, -0.0187, -0.2242], [-0.2152, -0.0806, -0.1779, ..., -0.2303, -0.0588, 0.1605]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.7940e-09, ..., 9.3132e-10, 0.0000e+00, -3.7253e-09], [-0.0000e+00, 0.0000e+00, -9.3132e-10, ..., -2.8405e-07, 1.8626e-09, -0.0000e+00], [ 0.0000e+00, 0.0000e+00, -1.8626e-09, ..., 2.0955e-07, 0.0000e+00, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -1.8626e-09, ..., 5.0291e-08, -9.3132e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 7.4506e-09, 0.0000e+00, 0.0000e+00], [ 1.9558e-08, 0.0000e+00, 5.5879e-09, ..., 1.8626e-09, 7.4506e-09, 2.7940e-09]], device='cuda:0') Epoch 400, bias, value: tensor([-0.0383, -0.0302, 0.0083, 0.0306, -0.0195, 0.0062, -0.0171, 0.0160, 0.0097, -0.0044], device='cuda:0'), grad: tensor([-1.8626e-09, -7.5530e-07, 5.6811e-07, 3.1665e-08, -1.3970e-08, 1.8626e-08, -3.7253e-09, 1.1548e-07, -2.7940e-09, 5.4017e-08], device='cuda:0') 100 0.0001 changing lr epoch 399, time 214.20, cls_loss 0.0005 cls_loss_mapping 0.0011 cls_loss_causal 0.4853 re_mapping 0.0030 re_causal 0.0097 /// teacc 99.10 lr 0.00001000 Epoch 401, weight, value: tensor([[-0.1502, 0.0563, 0.0928, ..., -0.1011, -0.1920, 0.0738], [-0.1312, -0.0662, -0.1514, ..., 0.2020, -0.1204, -0.1112], [-0.0805, 0.0155, 0.2503, ..., -0.1746, -0.1726, -0.2035], ..., [-0.2168, -0.0775, 0.0328, ..., -0.0685, 0.1324, -0.1119], [-0.1459, -0.1020, -0.0929, ..., -0.1747, -0.0187, -0.2244], [-0.2168, -0.0808, -0.1782, ..., -0.2307, -0.0590, 0.1605]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -2.9895e-07, ..., 3.7253e-09, 9.3132e-10, -3.7998e-07], [ 1.8626e-08, 0.0000e+00, 4.0047e-08, ..., -3.1665e-08, 4.9360e-08, 1.1176e-08], [ 2.7940e-09, 0.0000e+00, 1.1176e-08, ..., 1.8626e-09, 7.4506e-09, 9.3132e-09], ..., [-8.8476e-08, 0.0000e+00, -1.3597e-07, ..., 1.3039e-08, -2.2165e-07, 7.4506e-09], [ 1.3970e-08, 0.0000e+00, 6.2399e-08, ..., 7.4506e-09, 3.2596e-08, 5.6811e-08], [ 1.4901e-08, 0.0000e+00, 2.2817e-07, ..., 9.3132e-10, 6.5193e-08, 1.9092e-07]], device='cuda:0') Epoch 401, bias, value: tensor([-0.0382, -0.0302, 0.0086, 0.0305, -0.0183, 0.0063, -0.0172, 0.0160, 0.0097, -0.0052], device='cuda:0'), grad: tensor([-1.1995e-06, 1.2573e-07, 6.1467e-08, 1.1455e-07, 2.9337e-07, 5.8673e-08, 6.8918e-08, -7.1246e-07, 3.1665e-07, 8.7917e-07], device='cuda:0') 100 1e-05 changing lr epoch 400, time 214.15, cls_loss 0.0006 cls_loss_mapping 0.0011 cls_loss_causal 0.4562 re_mapping 0.0028 re_causal 0.0088 /// teacc 99.13 lr 0.00001000 Epoch 402, weight, value: tensor([[-0.1503, 0.0563, 0.0929, ..., -0.1011, -0.1922, 0.0738], [-0.1312, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1112], [-0.0805, 0.0155, 0.2503, ..., -0.1746, -0.1726, -0.2036], ..., [-0.2169, -0.0776, 0.0328, ..., -0.0685, 0.1324, -0.1119], [-0.1460, -0.1021, -0.0930, ..., -0.1748, -0.0187, -0.2244], [-0.2167, -0.0809, -0.1783, ..., -0.2307, -0.0591, 0.1606]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.8871e-08, ..., 2.7008e-08, 4.5635e-08, 1.6764e-08], [ 0.0000e+00, 0.0000e+00, 9.3132e-09, ..., -1.0245e-08, 4.7497e-08, 1.3039e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 7.4506e-09, 1.8626e-08, 9.3132e-09], ..., [ 0.0000e+00, 0.0000e+00, -5.9605e-08, ..., 1.3970e-08, -1.0189e-06, 1.3970e-08], [ 0.0000e+00, 0.0000e+00, 4.6566e-09, ..., 1.9558e-08, 1.3970e-08, 1.3039e-08], [ 9.3132e-10, 0.0000e+00, 2.8871e-08, ..., 4.0047e-08, 1.0617e-07, 1.0896e-07]], device='cuda:0') Epoch 402, bias, value: tensor([-0.0382, -0.0302, 0.0086, 0.0305, -0.0185, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 1.4249e-07, 1.1735e-07, 8.6613e-08, 3.8184e-06, 6.8918e-08, -4.9472e-06, 2.0340e-06, -1.8887e-06, 1.0710e-07, 4.5914e-07], device='cuda:0') 100 1e-05 changing lr epoch 401, time 214.28, cls_loss 0.0005 cls_loss_mapping 0.0008 cls_loss_causal 0.4665 re_mapping 0.0027 re_causal 0.0088 /// teacc 99.13 lr 0.00001000 Epoch 403, weight, value: tensor([[-0.1503, 0.0563, 0.0929, ..., -0.1011, -0.1922, 0.0739], [-0.1312, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1112], [-0.0806, 0.0155, 0.2503, ..., -0.1746, -0.1726, -0.2036], ..., [-0.2169, -0.0776, 0.0328, ..., -0.0685, 0.1324, -0.1120], [-0.1460, -0.1021, -0.0930, ..., -0.1749, -0.0187, -0.2245], [-0.2167, -0.0809, -0.1783, ..., -0.2307, -0.0591, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -0.0000e+00, -3.7253e-09, ..., 9.3132e-10, 0.0000e+00, -3.7253e-09], [-0.0000e+00, 0.0000e+00, 6.5193e-09, ..., -2.9802e-08, 1.0245e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -3.7253e-09, ..., 4.6566e-09, 2.7940e-09, 0.0000e+00], ..., [-4.6566e-09, 0.0000e+00, -1.1176e-08, ..., 1.5832e-08, -2.8871e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 5.5879e-09, 4.6566e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 0.0000e+00, 5.5879e-09, 3.7253e-09]], device='cuda:0') Epoch 403, bias, value: tensor([-0.0382, -0.0302, 0.0086, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([-4.6566e-09, -4.9360e-08, 1.1176e-08, 3.5390e-08, 1.2107e-08, -2.5146e-08, 6.5193e-09, -1.3039e-08, -1.8626e-09, 2.6077e-08], device='cuda:0') 100 1e-05 changing lr epoch 402, time 214.28, cls_loss 0.0005 cls_loss_mapping 0.0007 cls_loss_causal 0.4391 re_mapping 0.0026 re_causal 0.0087 /// teacc 99.12 lr 0.00001000 Epoch 404, weight, value: tensor([[-0.1503, 0.0563, 0.0930, ..., -0.1011, -0.1922, 0.0739], [-0.1313, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1112], [-0.0806, 0.0155, 0.2504, ..., -0.1746, -0.1726, -0.2036], ..., [-0.2169, -0.0776, 0.0328, ..., -0.0685, 0.1324, -0.1121], [-0.1461, -0.1021, -0.0930, ..., -0.1750, -0.0187, -0.2245], [-0.2167, -0.0809, -0.1784, ..., -0.2307, -0.0591, 0.1607]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.8626e-09, ..., 9.3132e-10, 9.3132e-10, -9.7789e-07], [ 1.8626e-09, 0.0000e+00, 5.2154e-08, ..., 3.1665e-08, 1.0617e-07, 9.1270e-08], [ 9.3132e-10, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 1.8626e-09, 1.2107e-08], ..., [ 3.7253e-09, 0.0000e+00, -6.1467e-08, ..., -3.5390e-08, -1.2200e-07, 6.9849e-08], [ 1.8626e-09, 0.0000e+00, 1.8626e-09, ..., 1.8626e-09, 2.7940e-09, 8.1025e-08], [ 9.3132e-09, 0.0000e+00, 4.6566e-09, ..., 9.3132e-10, 4.6566e-09, 2.3469e-07]], device='cuda:0') Epoch 404, bias, value: tensor([-0.0381, -0.0302, 0.0086, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([-2.5555e-06, 6.1188e-07, 4.3772e-08, 2.4587e-07, 4.7777e-07, 2.0023e-07, 5.2061e-07, -1.3784e-07, 2.6543e-07, 3.1851e-07], device='cuda:0') 100 1e-05 changing lr epoch 403, time 214.21, cls_loss 0.0004 cls_loss_mapping 0.0005 cls_loss_causal 0.4024 re_mapping 0.0026 re_causal 0.0085 /// teacc 99.15 lr 0.00001000 Epoch 405, weight, value: tensor([[-0.1503, 0.0563, 0.0930, ..., -0.1011, -0.1922, 0.0739], [-0.1313, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1726, -0.2036], ..., [-0.2170, -0.0776, 0.0328, ..., -0.0685, 0.1324, -0.1121], [-0.1461, -0.1021, -0.0930, ..., -0.1750, -0.0187, -0.2245], [-0.2167, -0.0809, -0.1784, ..., -0.2307, -0.0591, 0.1607]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.8626e-09, ..., 0.0000e+00, 9.3132e-10, -1.8626e-09], [ 9.3132e-09, 0.0000e+00, 6.5193e-09, ..., -9.3132e-09, 1.1176e-08, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, -9.3132e-10, ..., 0.0000e+00, 1.8626e-09, 0.0000e+00], ..., [ 3.7253e-09, 0.0000e+00, -2.9802e-08, ..., 6.5193e-09, -5.5879e-08, -3.7253e-09], [ 1.8626e-09, 0.0000e+00, 2.7940e-09, ..., 3.7253e-09, 4.6566e-09, 1.8626e-09], [ 2.9802e-08, 0.0000e+00, 2.3283e-08, ..., 0.0000e+00, 3.4459e-08, 4.6566e-09]], device='cuda:0') Epoch 405, bias, value: tensor([-0.0381, -0.0302, 0.0086, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([-9.3132e-10, 2.2352e-08, 4.6566e-09, -3.3528e-08, -8.6613e-08, 3.7253e-09, 1.7695e-08, -8.0094e-08, 2.7940e-08, 1.4249e-07], device='cuda:0') 100 1e-05 changing lr epoch 404, time 214.29, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4724 re_mapping 0.0026 re_causal 0.0090 /// teacc 99.10 lr 0.00001000 Epoch 406, weight, value: tensor([[-0.1503, 0.0564, 0.0931, ..., -0.1011, -0.1922, 0.0739], [-0.1313, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1726, -0.2037], ..., [-0.2170, -0.0776, 0.0328, ..., -0.0685, 0.1324, -0.1121], [-0.1461, -0.1021, -0.0930, ..., -0.1751, -0.0187, -0.2246], [-0.2167, -0.0809, -0.1784, ..., -0.2307, -0.0591, 0.1607]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -2.7940e-08, ..., 1.8626e-09, 1.2107e-08, -1.2107e-08], [ 9.3132e-10, 0.0000e+00, 1.8626e-09, ..., -7.4506e-08, 1.8626e-09, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, -5.5879e-09, ..., 1.8626e-09, 3.7253e-09, 7.4506e-09], ..., [ 9.3132e-10, 0.0000e+00, 1.8626e-09, ..., 6.6124e-08, -2.7940e-09, 8.3819e-09], [ 9.3132e-10, 0.0000e+00, 2.7940e-09, ..., 5.5879e-09, 3.7253e-09, 7.4506e-09], [ 1.8626e-09, 0.0000e+00, 1.8626e-08, ..., 9.3132e-10, 1.8626e-09, 8.3819e-09]], device='cuda:0') Epoch 406, bias, value: tensor([-0.0381, -0.0302, 0.0086, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([-4.0047e-08, -2.0210e-07, 1.8626e-08, 4.2841e-08, 1.7695e-08, -2.8592e-07, 1.6764e-07, 2.2538e-07, -1.8626e-09, 4.8429e-08], device='cuda:0') 100 1e-05 changing lr epoch 405, time 214.30, cls_loss 0.0004 cls_loss_mapping 0.0005 cls_loss_causal 0.4506 re_mapping 0.0026 re_causal 0.0088 /// teacc 99.13 lr 0.00001000 Epoch 407, weight, value: tensor([[-0.1504, 0.0564, 0.0931, ..., -0.1012, -0.1923, 0.0740], [-0.1313, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1727, -0.2037], ..., [-0.2170, -0.0776, 0.0328, ..., -0.0685, 0.1324, -0.1122], [-0.1461, -0.1021, -0.0930, ..., -0.1751, -0.0187, -0.2246], [-0.2167, -0.0810, -0.1785, ..., -0.2307, -0.0591, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.3213e-07, ..., 9.3132e-10, 0.0000e+00, -4.1537e-07], [ 9.3132e-10, 0.0000e+00, 1.8626e-09, ..., -1.0803e-07, 9.3132e-10, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.8626e-09, 0.0000e+00, 1.8626e-09], ..., [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., 9.6858e-08, -2.7940e-09, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 1.0245e-08, ..., 2.7940e-09, 0.0000e+00, 1.0245e-08], [ 4.6566e-09, 0.0000e+00, 1.4715e-07, ..., 9.3132e-10, 9.3132e-10, 1.3690e-07]], device='cuda:0') Epoch 407, bias, value: tensor([-0.0381, -0.0302, 0.0087, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([-1.3318e-06, -2.9150e-07, 1.6764e-08, 7.4040e-07, -1.8626e-09, 6.8918e-08, 2.5146e-08, 3.2131e-07, -3.2596e-08, 4.8336e-07], device='cuda:0') 100 1e-05 changing lr epoch 406, time 214.54, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4528 re_mapping 0.0025 re_causal 0.0088 /// teacc 99.13 lr 0.00001000 Epoch 408, weight, value: tensor([[-0.1504, 0.0564, 0.0932, ..., -0.1012, -0.1923, 0.0740], [-0.1313, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1727, -0.2037], ..., [-0.2170, -0.0777, 0.0328, ..., -0.0685, 0.1324, -0.1122], [-0.1461, -0.1021, -0.0930, ..., -0.1752, -0.0187, -0.2246], [-0.2167, -0.0810, -0.1785, ..., -0.2307, -0.0592, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 0.0000e+00, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, 6.5193e-09, ..., 0.0000e+00, 7.4506e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -1.9185e-07, ..., 0.0000e+00, -1.8626e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, 1.2573e-07, ..., 0.0000e+00, -1.7695e-08, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 4.5635e-08, ..., 9.3132e-10, 2.7940e-09, 1.8626e-09], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 4.6566e-09, -1.1176e-08]], device='cuda:0') Epoch 408, bias, value: tensor([-0.0381, -0.0302, 0.0087, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 1.3970e-08, 2.6077e-08, -3.2689e-07, -6.7055e-08, 1.8626e-09, 5.3085e-08, 1.8626e-09, 2.2445e-07, 8.3819e-08, -1.0245e-08], device='cuda:0') 100 1e-05 changing lr epoch 407, time 214.17, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4557 re_mapping 0.0026 re_causal 0.0087 /// teacc 99.12 lr 0.00001000 Epoch 409, weight, value: tensor([[-0.1504, 0.0564, 0.0932, ..., -0.1012, -0.1923, 0.0740], [-0.1313, -0.0662, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1727, -0.2037], ..., [-0.2170, -0.0777, 0.0328, ..., -0.0685, 0.1324, -0.1123], [-0.1461, -0.1021, -0.0930, ..., -0.1753, -0.0187, -0.2246], [-0.2167, -0.0810, -0.1786, ..., -0.2308, -0.0592, 0.1607]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -4.6566e-09, ..., 2.7940e-09, 0.0000e+00, -2.7940e-09], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 5.0291e-08, 7.4506e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 7.4506e-09, 1.8626e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -1.3970e-08, ..., 5.5879e-09, -1.5832e-08, 2.7940e-09], [ 9.3132e-10, 0.0000e+00, 2.7940e-09, ..., -6.3330e-08, 3.7253e-09, 9.3132e-10], [ 2.7940e-09, 0.0000e+00, 8.3819e-09, ..., 0.0000e+00, 5.5879e-09, -3.7253e-09]], device='cuda:0') Epoch 409, bias, value: tensor([-0.0381, -0.0302, 0.0087, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([ 5.5879e-09, 1.2806e-06, 1.6764e-07, 2.1420e-08, 1.7695e-08, 9.3132e-10, -2.6077e-08, -7.4506e-09, -1.4808e-06, 1.7695e-08], device='cuda:0') 100 1e-05 changing lr epoch 408, time 214.44, cls_loss 0.0004 cls_loss_mapping 0.0005 cls_loss_causal 0.4398 re_mapping 0.0025 re_causal 0.0087 /// teacc 99.13 lr 0.00001000 Epoch 410, weight, value: tensor([[-0.1504, 0.0564, 0.0932, ..., -0.1012, -0.1924, 0.0740], [-0.1313, -0.0661, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1727, -0.2037], ..., [-0.2171, -0.0778, 0.0328, ..., -0.0685, 0.1324, -0.1123], [-0.1462, -0.1021, -0.0930, ..., -0.1753, -0.0187, -0.2247], [-0.2167, -0.0810, -0.1786, ..., -0.2308, -0.0592, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -3.2969e-07, ..., -5.5879e-09, 0.0000e+00, -4.1351e-07], [ 1.8626e-09, 0.0000e+00, 1.1176e-08, ..., -6.5193e-09, 8.3819e-09, 1.7695e-08], [ 0.0000e+00, 0.0000e+00, 1.0245e-08, ..., 0.0000e+00, 9.3132e-10, 1.2107e-08], ..., [ 9.3132e-10, 0.0000e+00, 4.6566e-09, ..., 5.5879e-09, -1.3970e-08, 2.0489e-08], [ 0.0000e+00, 0.0000e+00, 5.4017e-08, ..., 3.3528e-08, -0.0000e+00, 9.4995e-08], [ 1.2107e-08, 0.0000e+00, 1.9558e-07, ..., 5.5879e-09, 3.7253e-09, 1.8720e-07]], device='cuda:0') Epoch 410, bias, value: tensor([-0.0381, -0.0302, 0.0087, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([-1.2517e-06, 6.6124e-08, 4.2841e-08, 2.4028e-07, 6.5193e-09, 8.8476e-08, -6.7055e-08, 3.7253e-08, 2.0582e-07, 6.3982e-07], device='cuda:0') 100 1e-05 changing lr epoch 409, time 214.42, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4439 re_mapping 0.0025 re_causal 0.0089 /// teacc 99.14 lr 0.00001000 Epoch 411, weight, value: tensor([[-0.1504, 0.0564, 0.0933, ..., -0.1012, -0.1924, 0.0740], [-0.1313, -0.0661, -0.1515, ..., 0.2020, -0.1204, -0.1113], [-0.0806, 0.0155, 0.2504, ..., -0.1747, -0.1727, -0.2038], ..., [-0.2171, -0.0778, 0.0328, ..., -0.0685, 0.1325, -0.1124], [-0.1462, -0.1021, -0.0930, ..., -0.1754, -0.0187, -0.2247], [-0.2167, -0.0810, -0.1786, ..., -0.2308, -0.0592, 0.1607]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, -4.6566e-09, ..., 1.8626e-09, 3.7253e-09, -7.4506e-09], [ 5.5879e-09, 0.0000e+00, 5.3085e-08, ..., -2.7940e-09, 7.9162e-08, 9.3132e-10], [ 2.7940e-09, 0.0000e+00, 1.2759e-07, ..., 0.0000e+00, 1.5832e-07, 0.0000e+00], ..., [ 2.3283e-08, 0.0000e+00, -3.3807e-07, ..., 1.8626e-09, -4.7870e-07, 1.8626e-09], [ 5.5879e-09, 0.0000e+00, 7.4506e-08, ..., 3.7253e-09, 9.1270e-08, 1.0245e-08], [ 9.3132e-09, 0.0000e+00, 5.6811e-08, ..., 0.0000e+00, 1.0896e-07, -1.1176e-08]], device='cuda:0') Epoch 411, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([-1.8626e-09, 2.6356e-07, 4.9453e-07, 1.1921e-07, -4.9360e-08, -8.7544e-08, 8.3819e-08, -1.5162e-06, 3.3155e-07, 3.5670e-07], device='cuda:0') 100 1e-05 changing lr epoch 410, time 214.46, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4052 re_mapping 0.0024 re_causal 0.0083 /// teacc 99.15 lr 0.00001000 Epoch 412, weight, value: tensor([[-0.1504, 0.0564, 0.0933, ..., -0.1012, -0.1924, 0.0740], [-0.1313, -0.0661, -0.1515, ..., 0.2020, -0.1204, -0.1114], [-0.0806, 0.0155, 0.2505, ..., -0.1748, -0.1727, -0.2038], ..., [-0.2171, -0.0778, 0.0328, ..., -0.0685, 0.1325, -0.1124], [-0.1462, -0.1021, -0.0930, ..., -0.1755, -0.0187, -0.2247], [-0.2167, -0.0810, -0.1787, ..., -0.2308, -0.0592, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.3132e-10, ..., 1.5832e-08, 0.0000e+00, -9.3132e-10], [ 9.3132e-10, 0.0000e+00, 4.6566e-09, ..., -9.3132e-10, 6.5193e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 1.8626e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -9.3132e-09, ..., 9.3132e-10, -1.3970e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 7.4506e-09, 1.8626e-09, 0.0000e+00], [ 5.5879e-09, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 3.7253e-09, 9.3132e-10]], device='cuda:0') Epoch 412, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0305, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0050], device='cuda:0'), grad: tensor([ 6.3330e-08, 2.1420e-08, 6.5193e-09, -1.8626e-09, -5.5879e-09, 1.1176e-08, -1.0245e-07, -3.1665e-08, 2.2352e-08, 1.9558e-08], device='cuda:0') 100 1e-05 changing lr epoch 411, time 214.25, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4574 re_mapping 0.0025 re_causal 0.0089 /// teacc 99.12 lr 0.00001000 Epoch 413, weight, value: tensor([[-0.1505, 0.0564, 0.0933, ..., -0.1012, -0.1925, 0.0740], [-0.1313, -0.0661, -0.1515, ..., 0.2020, -0.1204, -0.1114], [-0.0806, 0.0155, 0.2505, ..., -0.1748, -0.1727, -0.2038], ..., [-0.2172, -0.0778, 0.0328, ..., -0.0685, 0.1325, -0.1124], [-0.1462, -0.1021, -0.0930, ..., -0.1756, -0.0187, -0.2248], [-0.2168, -0.0810, -0.1787, ..., -0.2308, -0.0593, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.3132e-10, ..., 2.2352e-08, 0.0000e+00, 7.4506e-09], [ 9.3132e-10, 0.0000e+00, 5.5879e-09, ..., 9.3132e-10, 9.3132e-10, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -1.1921e-07, ..., 0.0000e+00, -1.8626e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, 9.9652e-08, ..., 9.3132e-10, -8.3819e-09, 7.4506e-09], [ 9.3132e-10, 0.0000e+00, 8.3819e-09, ..., 6.5193e-08, 5.5879e-09, 3.3528e-08], [ 5.5879e-09, 0.0000e+00, 3.7253e-09, ..., 9.3132e-10, 3.7253e-09, -1.0245e-08]], device='cuda:0') Epoch 413, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0304, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 7.9162e-08, 1.6764e-08, -2.1141e-07, 1.3970e-08, 0.0000e+00, -1.7695e-08, -3.3621e-07, 1.8813e-07, 2.6543e-07, -8.3819e-09], device='cuda:0') 100 1e-05 changing lr epoch 412, time 214.42, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4779 re_mapping 0.0024 re_causal 0.0088 /// teacc 99.12 lr 0.00001000 Epoch 414, weight, value: tensor([[-0.1505, 0.0564, 0.0933, ..., -0.1013, -0.1925, 0.0740], [-0.1314, -0.0661, -0.1515, ..., 0.2020, -0.1204, -0.1114], [-0.0807, 0.0155, 0.2505, ..., -0.1748, -0.1727, -0.2038], ..., [-0.2172, -0.0778, 0.0328, ..., -0.0685, 0.1325, -0.1125], [-0.1462, -0.1021, -0.0930, ..., -0.1756, -0.0187, -0.2248], [-0.2168, -0.0810, -0.1787, ..., -0.2309, -0.0593, 0.1607]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 0.0000e+00, 1.5832e-08, ..., 0.0000e+00, 0.0000e+00, -5.1223e-09], [ 2.3283e-09, 0.0000e+00, 1.8626e-09, ..., -3.2131e-08, 1.3970e-09, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -2.8638e-07, ..., 6.0536e-09, 4.6566e-10, 0.0000e+00], ..., [ 3.2596e-09, 0.0000e+00, 7.0781e-08, ..., 1.8161e-08, 1.1642e-08, 4.6566e-10], [ 1.8626e-09, 0.0000e+00, 7.9162e-09, ..., 7.9162e-09, 1.3970e-09, 4.6566e-10], [ 2.0582e-07, 0.0000e+00, 5.1223e-09, ..., 0.0000e+00, 0.0000e+00, 3.2596e-09]], device='cuda:0') Epoch 414, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0304, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 3.4925e-08, -4.7032e-08, -5.4063e-07, 3.4133e-07, -3.9162e-07, 1.2107e-08, 3.6322e-08, 2.9337e-07, -1.4156e-07, 4.1118e-07], device='cuda:0') 100 1e-05 changing lr epoch 413, time 214.51, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4180 re_mapping 0.0024 re_causal 0.0083 /// teacc 99.17 lr 0.00001000 Epoch 415, weight, value: tensor([[-0.1505, 0.0564, 0.0934, ..., -0.1013, -0.1925, 0.0741], [-0.1314, -0.0661, -0.1515, ..., 0.2020, -0.1204, -0.1114], [-0.0807, 0.0155, 0.2505, ..., -0.1748, -0.1728, -0.2038], ..., [-0.2172, -0.0778, 0.0328, ..., -0.0685, 0.1325, -0.1125], [-0.1462, -0.1021, -0.0930, ..., -0.1757, -0.0187, -0.2248], [-0.2168, -0.0810, -0.1788, ..., -0.2309, -0.0593, 0.1607]], device='cuda:0'), grad: tensor([[ 1.3039e-08, -0.0000e+00, -9.3132e-10, ..., 3.2596e-09, 0.0000e+00, 2.3283e-09], [ 1.4110e-07, 0.0000e+00, 8.3819e-09, ..., 3.1199e-08, 7.9162e-09, 1.8626e-09], [ 4.6566e-09, 0.0000e+00, 5.3551e-08, ..., 1.8626e-09, 4.3772e-08, 0.0000e+00], ..., [ 1.6298e-08, 0.0000e+00, -7.3109e-08, ..., 6.5193e-09, -6.1002e-08, 1.8626e-09], [ 2.3283e-09, 0.0000e+00, 2.3283e-09, ..., 1.8626e-09, 2.3283e-09, 4.6566e-10], [ 3.9581e-08, 0.0000e+00, 3.2596e-09, ..., 8.3819e-09, 1.8626e-09, -6.8452e-08]], device='cuda:0') Epoch 415, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 4.2375e-08, 2.4633e-07, 1.7509e-07, 2.5611e-07, -3.7206e-07, 2.7474e-08, 1.7602e-07, -1.0990e-07, -3.9907e-07, -4.7497e-08], device='cuda:0') 100 1e-05 changing lr epoch 414, time 214.66, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4421 re_mapping 0.0023 re_causal 0.0084 /// teacc 99.18 lr 0.00001000 Epoch 416, weight, value: tensor([[-0.1506, 0.0564, 0.0934, ..., -0.1013, -0.1925, 0.0741], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1115], [-0.0807, 0.0155, 0.2505, ..., -0.1748, -0.1728, -0.2039], ..., [-0.2172, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1126], [-0.1463, -0.1021, -0.0930, ..., -0.1758, -0.0187, -0.2249], [-0.2168, -0.0810, -0.1788, ..., -0.2309, -0.0594, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.3132e-10, ..., 0.0000e+00, 4.6566e-10, 4.6566e-10], [ 4.6566e-10, 0.0000e+00, 4.1910e-09, ..., -1.4435e-08, 9.3132e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 3.2596e-09, ..., 4.6566e-10, 7.4506e-09, 4.6566e-10], ..., [ 1.3970e-09, 0.0000e+00, -1.6298e-08, ..., 1.3504e-08, -3.4925e-08, 7.4506e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., 2.3283e-09, 2.7940e-09, 2.3283e-09], [ 6.0536e-09, 0.0000e+00, 6.5193e-09, ..., 0.0000e+00, 1.0710e-08, -1.4901e-08]], device='cuda:0') Epoch 416, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 2.7940e-09, -1.2573e-08, 2.0023e-08, 3.8184e-08, 6.5193e-09, -6.2399e-08, 2.5611e-08, -2.6543e-08, 2.0023e-08, -1.3970e-09], device='cuda:0') 100 1e-05 changing lr epoch 415, time 214.33, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4264 re_mapping 0.0024 re_causal 0.0083 /// teacc 99.18 lr 0.00001000 Epoch 417, weight, value: tensor([[-0.1506, 0.0565, 0.0934, ..., -0.1013, -0.1926, 0.0741], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1115], [-0.0807, 0.0155, 0.2505, ..., -0.1749, -0.1728, -0.2039], ..., [-0.2173, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1126], [-0.1463, -0.1021, -0.0930, ..., -0.1758, -0.0187, -0.2249], [-0.2169, -0.0810, -0.1789, ..., -0.2309, -0.0594, 0.1607]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 4.6566e-10, ..., 2.7940e-09, 4.6566e-10, 1.3970e-09], [ 4.6566e-10, 0.0000e+00, 5.1223e-09, ..., -6.0536e-09, 5.5879e-09, 0.0000e+00], [ 1.3970e-09, 0.0000e+00, 0.0000e+00, ..., 4.6566e-10, 4.1910e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -2.3749e-08, ..., 5.5879e-09, -2.9802e-08, 4.1910e-09], [ 2.3283e-09, 0.0000e+00, 4.1910e-09, ..., 7.6368e-08, 2.3283e-09, 2.4680e-08], [ 6.0536e-09, 0.0000e+00, 1.1642e-08, ..., 9.3132e-10, 1.3970e-08, -2.5611e-08]], device='cuda:0') Epoch 417, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 1.3504e-08, -4.6566e-10, 5.1223e-09, 4.6566e-09, -3.6787e-08, 1.2107e-08, -2.2352e-07, -3.9581e-08, 2.8964e-07, -1.3504e-08], device='cuda:0') 100 1e-05 changing lr epoch 416, time 214.15, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4251 re_mapping 0.0023 re_causal 0.0083 /// teacc 99.17 lr 0.00001000 Epoch 418, weight, value: tensor([[-0.1506, 0.0565, 0.0935, ..., -0.1014, -0.1926, 0.0741], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1115], [-0.0807, 0.0155, 0.2505, ..., -0.1749, -0.1728, -0.2039], ..., [-0.2173, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1127], [-0.1463, -0.1021, -0.0930, ..., -0.1759, -0.0187, -0.2249], [-0.2169, -0.0811, -0.1790, ..., -0.2309, -0.0594, 0.1607]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, 9.3132e-10, ..., 2.3283e-09, 9.3132e-10, -7.4506e-08], [ 1.3970e-09, 0.0000e+00, 6.0536e-09, ..., 4.6566e-10, 4.1910e-09, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, -6.2864e-08, ..., 4.6566e-10, 2.3283e-09, 1.8626e-09], ..., [ 2.7940e-09, 0.0000e+00, -4.6566e-10, ..., 4.6566e-10, -1.0710e-08, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., 4.8429e-08, 2.7940e-09, 1.0245e-08], [ 8.3819e-09, 0.0000e+00, 2.1886e-08, ..., 4.6566e-10, 3.7253e-09, 4.0978e-08]], device='cuda:0') Epoch 418, bias, value: tensor([-0.0380, -0.0302, 0.0087, 0.0304, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([-1.1455e-07, 2.8871e-08, -9.3598e-08, -1.7695e-08, -1.3970e-08, -2.1420e-08, -8.3819e-08, 1.5832e-08, 1.8626e-07, 1.2293e-07], device='cuda:0') 100 1e-05 changing lr epoch 417, time 214.20, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4581 re_mapping 0.0023 re_causal 0.0085 /// teacc 99.19 lr 0.00001000 Epoch 419, weight, value: tensor([[-0.1506, 0.0565, 0.0935, ..., -0.1014, -0.1926, 0.0741], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1116], [-0.0807, 0.0155, 0.2505, ..., -0.1749, -0.1728, -0.2039], ..., [-0.2173, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1128], [-0.1463, -0.1021, -0.0930, ..., -0.1760, -0.0187, -0.2250], [-0.2169, -0.0811, -0.1790, ..., -0.2309, -0.0594, 0.1608]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.3039e-08, ..., 0.0000e+00, 9.3132e-10, -1.6298e-08], [ 0.0000e+00, 0.0000e+00, 7.9162e-09, ..., -1.8626e-09, 1.8626e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -3.4738e-07, ..., 0.0000e+00, 4.6566e-10, 4.6566e-10], ..., [ 0.0000e+00, 0.0000e+00, 1.0291e-07, ..., 1.3970e-09, -1.8626e-09, 4.1910e-09], [ 0.0000e+00, 0.0000e+00, 2.1234e-07, ..., 4.6566e-10, 4.4284e-07, 4.8429e-08], [ 4.6566e-10, 0.0000e+00, 8.3819e-09, ..., 0.0000e+00, 1.3970e-09, -4.6566e-10]], device='cuda:0') Epoch 419, bias, value: tensor([-0.0379, -0.0302, 0.0086, 0.0304, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([-3.3993e-08, 2.0023e-08, -6.7102e-07, 8.4285e-08, 1.1176e-08, -1.1716e-06, 1.1921e-07, 2.2398e-07, 1.4128e-06, 6.0536e-09], device='cuda:0') 100 1e-05 changing lr epoch 418, time 214.23, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4037 re_mapping 0.0023 re_causal 0.0081 /// teacc 99.20 lr 0.00001000 Epoch 420, weight, value: tensor([[-0.1506, 0.0565, 0.0935, ..., -0.1014, -0.1926, 0.0741], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1116], [-0.0807, 0.0155, 0.2505, ..., -0.1749, -0.1729, -0.2039], ..., [-0.2174, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1129], [-0.1464, -0.1021, -0.0930, ..., -0.1761, -0.0187, -0.2250], [-0.2169, -0.0811, -0.1791, ..., -0.2310, -0.0595, 0.1608]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.1910e-09, ..., 8.8476e-09, 0.0000e+00, -4.6566e-09], [ 4.6566e-10, 0.0000e+00, 1.2573e-08, ..., -4.6566e-10, 1.1176e-08, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 6.0536e-09, ..., 4.6566e-10, 6.9849e-09, 4.6566e-10], ..., [ 9.3132e-10, 0.0000e+00, -2.6543e-08, ..., 3.2596e-09, -2.6543e-08, 2.5146e-08], [ 0.0000e+00, 0.0000e+00, 3.2596e-09, ..., 1.0245e-08, 2.7940e-09, 2.7940e-09], [ 3.2596e-09, 0.0000e+00, 6.0536e-09, ..., 9.3132e-10, 2.7940e-09, -4.2375e-08]], device='cuda:0') Epoch 420, bias, value: tensor([-0.0379, -0.0302, 0.0086, 0.0304, -0.0186, 0.0063, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 2.6077e-08, 4.4238e-08, 2.0023e-08, 2.4214e-08, 6.7055e-08, 5.0757e-08, -1.3411e-07, 2.6543e-08, 1.7695e-08, -1.2852e-07], device='cuda:0') 100 1e-05 changing lr epoch 419, time 214.40, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4039 re_mapping 0.0023 re_causal 0.0080 /// teacc 99.17 lr 0.00001000 Epoch 421, weight, value: tensor([[-0.1507, 0.0565, 0.0936, ..., -0.1014, -0.1927, 0.0742], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1116], [-0.0808, 0.0155, 0.2505, ..., -0.1749, -0.1729, -0.2040], ..., [-0.2174, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1129], [-0.1464, -0.1021, -0.0930, ..., -0.1762, -0.0187, -0.2250], [-0.2169, -0.0811, -0.1791, ..., -0.2310, -0.0595, 0.1608]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 9.3132e-10, ..., 1.6298e-08, 0.0000e+00, -9.7789e-09], [ 9.3132e-10, 0.0000e+00, 4.6566e-09, ..., -2.7474e-08, 3.7253e-09, 2.7940e-09], [-0.0000e+00, 0.0000e+00, -2.1420e-08, ..., 6.0536e-09, 2.7940e-09, 4.6566e-10], ..., [ 1.3970e-09, 0.0000e+00, 1.1176e-08, ..., 1.7695e-08, -1.4435e-08, 6.9849e-09], [ 0.0000e+00, 0.0000e+00, 4.1910e-09, ..., 1.2107e-08, 1.3970e-09, 1.0245e-08], [ 7.4506e-09, 0.0000e+00, -4.1910e-09, ..., 1.3970e-09, 4.1910e-09, -4.8429e-08]], device='cuda:0') Epoch 421, bias, value: tensor([-0.0379, -0.0302, 0.0086, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 7.4040e-08, -5.1688e-08, 4.6566e-09, 1.4435e-08, 5.8208e-08, 1.6298e-08, -1.3411e-07, 5.4948e-08, 8.1956e-08, -1.0943e-07], device='cuda:0') 100 1e-05 changing lr epoch 420, time 214.37, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4245 re_mapping 0.0023 re_causal 0.0083 /// teacc 99.19 lr 0.00001000 Epoch 422, weight, value: tensor([[-0.1507, 0.0565, 0.0936, ..., -0.1014, -0.1927, 0.0742], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1116], [-0.0808, 0.0155, 0.2506, ..., -0.1749, -0.1729, -0.2040], ..., [-0.2175, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1130], [-0.1464, -0.1021, -0.0930, ..., -0.1763, -0.0188, -0.2251], [-0.2170, -0.0811, -0.1792, ..., -0.2310, -0.0596, 0.1608]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -0.0000e+00, -2.7940e-09, ..., 9.3132e-10, 0.0000e+00, -9.3132e-10], [ 4.6566e-10, 0.0000e+00, 1.3970e-09, ..., -3.7253e-09, 0.0000e+00, 2.3283e-09], [ 0.0000e+00, 0.0000e+00, -5.5879e-09, ..., 4.6566e-10, 0.0000e+00, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, 4.1910e-09, ..., 3.2596e-09, 0.0000e+00, 5.5879e-09], [ 4.6566e-10, 0.0000e+00, 4.6566e-10, ..., 2.7940e-09, 0.0000e+00, 1.3970e-09], [ 2.3283e-09, 0.0000e+00, 1.3970e-09, ..., 0.0000e+00, 0.0000e+00, -1.7229e-08]], device='cuda:0') Epoch 422, bias, value: tensor([-0.0379, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0051], device='cuda:0'), grad: tensor([ 2.2817e-08, 5.1223e-09, -9.3132e-10, -5.5879e-07, 2.1420e-08, 4.9826e-07, -1.7229e-08, 5.4017e-08, 2.1886e-08, -3.6322e-08], device='cuda:0') 100 1e-05 changing lr epoch 421, time 214.20, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4209 re_mapping 0.0023 re_causal 0.0083 /// teacc 99.17 lr 0.00001000 Epoch 423, weight, value: tensor([[-0.1507, 0.0565, 0.0936, ..., -0.1014, -0.1927, 0.0742], [-0.1314, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1117], [-0.0808, 0.0155, 0.2506, ..., -0.1750, -0.1729, -0.2040], ..., [-0.2175, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1130], [-0.1464, -0.1021, -0.0930, ..., -0.1764, -0.0188, -0.2251], [-0.2170, -0.0811, -0.1792, ..., -0.2310, -0.0596, 0.1608]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 0.0000e+00, -1.6298e-08, ..., 6.0536e-09, 0.0000e+00, -7.9162e-09], [ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., -7.4506e-09, 8.3819e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 5.1223e-09, ..., 9.3132e-10, 4.6566e-09, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, -5.5879e-09, ..., 7.4506e-09, 4.6566e-10, 3.7253e-09], [ 3.2596e-09, 0.0000e+00, 3.7253e-09, ..., 4.6566e-09, 6.9849e-09, 2.3749e-08], [-6.5193e-09, 0.0000e+00, 1.3970e-08, ..., 0.0000e+00, 1.0245e-08, -3.7253e-08]], device='cuda:0') Epoch 423, bias, value: tensor([-0.0379, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0052], device='cuda:0'), grad: tensor([-2.7940e-09, 1.5367e-08, 2.1886e-08, -1.3923e-07, 2.7474e-08, -1.3970e-09, -9.7789e-09, 1.6065e-07, -2.9337e-08, -4.1444e-08], device='cuda:0') 100 1e-05 changing lr epoch 422, time 214.25, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4482 re_mapping 0.0023 re_causal 0.0085 /// teacc 99.18 lr 0.00001000 Epoch 424, weight, value: tensor([[-0.1507, 0.0565, 0.0937, ..., -0.1015, -0.1927, 0.0742], [-0.1315, -0.0661, -0.1516, ..., 0.2021, -0.1204, -0.1117], [-0.0808, 0.0155, 0.2506, ..., -0.1750, -0.1730, -0.2040], ..., [-0.2176, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1131], [-0.1465, -0.1021, -0.0930, ..., -0.1765, -0.0188, -0.2251], [-0.2170, -0.0811, -0.1792, ..., -0.2311, -0.0596, 0.1608]], device='cuda:0'), grad: tensor([[ 3.8184e-08, 0.0000e+00, -1.8626e-09, ..., 2.4214e-08, 0.0000e+00, 9.3132e-10], [ 4.3772e-08, 0.0000e+00, 3.3528e-08, ..., 1.1176e-08, 3.6322e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 9.3132e-10, 3.7253e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -5.0291e-08, ..., 1.2107e-08, -5.4017e-08, 3.7253e-09], [ 2.4214e-08, 0.0000e+00, 1.8626e-09, ..., 1.6764e-08, 1.8626e-09, 9.3132e-10], [ 8.3819e-09, 0.0000e+00, 1.2107e-08, ..., 2.7940e-09, 1.1176e-08, -2.8871e-08]], device='cuda:0') Epoch 424, bias, value: tensor([-0.0379, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0052], device='cuda:0'), grad: tensor([ 1.1735e-07, 2.0862e-07, 2.8871e-08, 5.3085e-08, 6.0536e-07, 2.4401e-07, -1.1446e-06, -1.3225e-07, 1.1176e-08, -6.5193e-09], device='cuda:0') 100 1e-05 changing lr epoch 423, time 214.50, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4251 re_mapping 0.0022 re_causal 0.0082 /// teacc 99.20 lr 0.00001000 Epoch 425, weight, value: tensor([[-0.1508, 0.0566, 0.0937, ..., -0.1015, -0.1927, 0.0742], [-0.1315, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1117], [-0.0808, 0.0155, 0.2506, ..., -0.1750, -0.1730, -0.2040], ..., [-0.2176, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1132], [-0.1465, -0.1021, -0.0930, ..., -0.1766, -0.0188, -0.2251], [-0.2170, -0.0811, -0.1793, ..., -0.2311, -0.0597, 0.1608]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 0.0000e+00, -5.5879e-09, ..., 9.3132e-09, 9.3132e-10, 9.3132e-10], [ 2.3283e-08, 0.0000e+00, 1.6764e-08, ..., -1.3039e-08, 2.7940e-08, 3.7253e-09], [ 4.6566e-09, 0.0000e+00, 5.5879e-09, ..., 1.8626e-09, 9.3132e-09, 9.3132e-10], ..., [ 1.3039e-08, 0.0000e+00, -3.9116e-08, ..., 8.3819e-09, -6.3330e-08, 1.6764e-08], [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., 9.3132e-09, 5.5879e-09, 3.7253e-09], [ 3.0734e-08, 0.0000e+00, 1.3039e-08, ..., 9.3132e-10, 1.5832e-08, -5.1223e-08]], device='cuda:0') Epoch 425, bias, value: tensor([-0.0379, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0052], device='cuda:0'), grad: tensor([ 3.1665e-08, 9.1270e-08, 4.0978e-08, 2.6077e-08, -7.3574e-08, -3.7253e-08, -1.2107e-08, -9.3132e-08, 5.3085e-08, -1.3970e-08], device='cuda:0') 100 1e-05 changing lr epoch 424, time 214.47, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4216 re_mapping 0.0022 re_causal 0.0081 /// teacc 99.19 lr 0.00001000 Epoch 426, weight, value: tensor([[-0.1508, 0.0566, 0.0938, ..., -0.1015, -0.1927, 0.0742], [-0.1315, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1117], [-0.0808, 0.0155, 0.2506, ..., -0.1751, -0.1730, -0.2041], ..., [-0.2177, -0.0778, 0.0329, ..., -0.0685, 0.1325, -0.1132], [-0.1465, -0.1021, -0.0930, ..., -0.1767, -0.0188, -0.2252], [-0.2170, -0.0812, -0.1794, ..., -0.2311, -0.0597, 0.1608]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 1.8626e-09, 0.0000e+00, -9.3132e-10], [ 1.8626e-09, 0.0000e+00, 9.3132e-10, ..., 5.5879e-09, 9.3132e-10, 1.8626e-09], [-1.8626e-09, 0.0000e+00, -1.6764e-08, ..., 1.8626e-09, 0.0000e+00, 0.0000e+00], ..., [ 2.7940e-09, 0.0000e+00, 2.7940e-09, ..., 9.3132e-10, 0.0000e+00, 2.7940e-08], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., -4.6566e-09, 0.0000e+00, 9.3132e-10], [ 1.5460e-07, 0.0000e+00, -9.3132e-10, ..., 0.0000e+00, 0.0000e+00, -7.4506e-09]], device='cuda:0') Epoch 426, bias, value: tensor([-0.0379, -0.0302, 0.0087, 0.0304, -0.0186, 0.0064, -0.0172, 0.0160, 0.0097, -0.0052], device='cuda:0'), grad: tensor([ 3.0734e-08, 1.2014e-07, -2.7940e-08, -6.2399e-08, -2.2911e-07, 7.5437e-08, -1.3970e-08, 1.0803e-07, -1.3970e-07, 1.5274e-07], device='cuda:0') 100 1e-05 changing lr epoch 425, time 214.49, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4086 re_mapping 0.0023 re_causal 0.0080 /// teacc 99.19 lr 0.00001000 Epoch 427, weight, value: tensor([[-0.1508, 0.0566, 0.0939, ..., -0.1015, -0.1928, 0.0743], [-0.1315, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1118], [-0.0809, 0.0155, 0.2506, ..., -0.1751, -0.1730, -0.2041], ..., [-0.2177, -0.0779, 0.0329, ..., -0.0685, 0.1325, -0.1133], [-0.1465, -0.1021, -0.0931, ..., -0.1768, -0.0188, -0.2252], [-0.2171, -0.0812, -0.1795, ..., -0.2312, -0.0597, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.9802e-08, ..., 0.0000e+00, -3.7253e-09, -5.0291e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., -5.5879e-09, 1.8626e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 9.3132e-10, 1.8626e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -2.7940e-09, ..., 2.7940e-09, -4.6566e-09, 2.1420e-08], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 9.3132e-10, -2.7940e-09, 1.8626e-09], [ 1.8626e-09, 0.0000e+00, 5.5879e-09, ..., 0.0000e+00, 1.8626e-09, -3.3528e-08]], device='cuda:0') Epoch 427, bias, value: tensor([-0.0378, -0.0302, 0.0087, 0.0304, -0.0185, 0.0064, -0.0172, 0.0160, 0.0097, -0.0052], device='cuda:0'), grad: tensor([-8.3819e-08, 9.3132e-10, 1.5832e-08, 7.3574e-08, 3.3528e-08, 1.0896e-07, 3.8184e-08, 7.9162e-08, -1.7695e-07, -8.3819e-08], device='cuda:0') 100 1e-05 changing lr epoch 426, time 214.30, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4395 re_mapping 0.0023 re_causal 0.0083 /// teacc 99.19 lr 0.00001000 Epoch 428, weight, value: tensor([[-0.1509, 0.0566, 0.0941, ..., -0.1016, -0.1928, 0.0744], [-0.1315, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1119], [-0.0809, 0.0155, 0.2506, ..., -0.1752, -0.1730, -0.2042], ..., [-0.2178, -0.0779, 0.0329, ..., -0.0685, 0.1325, -0.1134], [-0.1465, -0.1021, -0.0931, ..., -0.1769, -0.0188, -0.2253], [-0.2171, -0.0812, -0.1797, ..., -0.2312, -0.0598, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -3.5390e-08, ..., 9.3132e-10, 9.3132e-10, -4.6566e-08], [ 0.0000e+00, 0.0000e+00, 1.3970e-07, ..., -2.4214e-08, 1.0245e-07, 9.3132e-09], [ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 0.0000e+00, 1.3970e-08, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -2.3283e-07, ..., 2.2352e-08, -2.1048e-07, 3.3621e-07], [ 0.0000e+00, 0.0000e+00, 1.3970e-08, ..., 9.3132e-10, 5.5879e-09, 7.4506e-09], [ 9.3132e-10, 0.0000e+00, -5.5879e-09, ..., 0.0000e+00, 9.3132e-09, -3.5577e-07]], device='cuda:0') Epoch 428, bias, value: tensor([-0.0377, -0.0302, 0.0086, 0.0304, -0.0185, 0.0064, -0.0172, 0.0160, 0.0097, -0.0053], device='cuda:0'), grad: tensor([-1.2107e-07, 5.6904e-07, 3.3528e-08, 3.9116e-08, 2.7195e-07, 5.5879e-09, 1.3039e-08, -5.6811e-08, 2.4214e-08, -7.7486e-07], device='cuda:0') 100 1e-05 changing lr epoch 427, time 214.31, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4230 re_mapping 0.0021 re_causal 0.0079 /// teacc 99.20 lr 0.00001000 Epoch 429, weight, value: tensor([[-0.1509, 0.0566, 0.0942, ..., -0.1016, -0.1928, 0.0744], [-0.1315, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1119], [-0.0809, 0.0155, 0.2507, ..., -0.1752, -0.1731, -0.2042], ..., [-0.2179, -0.0779, 0.0330, ..., -0.0685, 0.1325, -0.1136], [-0.1466, -0.1021, -0.0931, ..., -0.1771, -0.0188, -0.2254], [-0.2172, -0.0812, -0.1798, ..., -0.2312, -0.0598, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.6566e-09, ..., 1.3970e-08, 0.0000e+00, -6.5193e-09], [ 0.0000e+00, 0.0000e+00, 3.7253e-09, ..., -2.6077e-08, 4.6566e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -0.0000e+00, ..., 5.5879e-09, 2.7940e-09, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -6.5193e-09, ..., 1.6764e-08, -1.3039e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 1.7695e-08, 2.7940e-09, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 4.6566e-09, ..., 9.3132e-10, 2.7940e-09, 7.4506e-09]], device='cuda:0') Epoch 429, bias, value: tensor([-0.0377, -0.0302, 0.0087, 0.0304, -0.0185, 0.0064, -0.0172, 0.0160, 0.0097, -0.0053], device='cuda:0'), grad: tensor([ 4.9360e-08, -5.1223e-08, 1.9558e-08, 8.3819e-09, 7.4506e-09, 6.3330e-08, -2.1234e-07, 1.1176e-08, 7.8231e-08, 2.6077e-08], device='cuda:0') 100 1e-05 changing lr epoch 428, time 214.35, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4236 re_mapping 0.0022 re_causal 0.0082 /// teacc 99.19 lr 0.00001000 Epoch 430, weight, value: tensor([[-0.1510, 0.0566, 0.0943, ..., -0.1016, -0.1928, 0.0744], [-0.1316, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1119], [-0.0810, 0.0155, 0.2507, ..., -0.1752, -0.1731, -0.2042], ..., [-0.2180, -0.0779, 0.0330, ..., -0.0685, 0.1325, -0.1137], [-0.1467, -0.1021, -0.0931, ..., -0.1772, -0.0188, -0.2254], [-0.2172, -0.0812, -0.1799, ..., -0.2312, -0.0599, 0.1607]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 9.3132e-10, 0.0000e+00, 1.8626e-09], [ 9.3132e-10, 0.0000e+00, 1.7695e-08, ..., -3.7253e-09, 3.2596e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 5.5879e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -3.0734e-08, ..., 2.7940e-09, -5.3085e-08, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 3.7253e-09, 1.8626e-09, 2.7940e-09], [ 2.7940e-09, 0.0000e+00, 6.5193e-09, ..., 9.3132e-10, 1.1176e-08, -9.3132e-09]], device='cuda:0') Epoch 430, bias, value: tensor([-0.0377, -0.0302, 0.0087, 0.0304, -0.0185, 0.0064, -0.0172, 0.0160, 0.0097, -0.0053], device='cuda:0'), grad: tensor([ 8.3819e-09, 6.5193e-08, 1.2107e-08, 1.4901e-08, 9.3132e-09, 1.3039e-08, -2.4214e-08, -9.5926e-08, -6.5193e-09, 9.3132e-09], device='cuda:0') 100 1e-05 changing lr epoch 429, time 214.44, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4420 re_mapping 0.0022 re_causal 0.0082 /// teacc 99.19 lr 0.00001000 Epoch 431, weight, value: tensor([[-0.1510, 0.0566, 0.0944, ..., -0.1017, -0.1929, 0.0745], [-0.1316, -0.0661, -0.1517, ..., 0.2021, -0.1204, -0.1120], [-0.0810, 0.0155, 0.2507, ..., -0.1753, -0.1731, -0.2043], ..., [-0.2180, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1138], [-0.1468, -0.1021, -0.0931, ..., -0.1774, -0.0188, -0.2255], [-0.2173, -0.0812, -0.1800, ..., -0.2313, -0.0599, 0.1607]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -9.3132e-10, ..., 7.4506e-09, 1.8626e-09, 1.8626e-09], [ 1.8626e-09, 0.0000e+00, 2.7940e-09, ..., -8.3819e-09, 3.7253e-09, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, -9.3132e-10, ..., 9.3132e-10, 4.6566e-09, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, -1.3970e-08, ..., 7.4506e-09, -1.9558e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 1.0245e-08, ..., 4.6566e-09, 1.0245e-08, 6.5193e-09], [ 7.4506e-09, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 2.7940e-09, 3.7253e-09]], device='cuda:0') Epoch 431, bias, value: tensor([-0.0376, -0.0302, 0.0086, 0.0303, -0.0185, 0.0064, -0.0172, 0.0160, 0.0097, -0.0053], device='cuda:0'), grad: tensor([ 6.6124e-08, 4.6566e-09, 5.5879e-09, -4.6566e-08, -1.5832e-08, -1.3877e-07, 5.4017e-08, -1.3039e-08, 6.9849e-08, 2.7008e-08], device='cuda:0') 100 1e-05 changing lr epoch 430, time 214.45, cls_loss 0.0004 cls_loss_mapping 0.0004 cls_loss_causal 0.4368 re_mapping 0.0021 re_causal 0.0081 /// teacc 99.23 lr 0.00001000 Epoch 432, weight, value: tensor([[-0.1511, 0.0566, 0.0945, ..., -0.1017, -0.1929, 0.0745], [-0.1316, -0.0661, -0.1518, ..., 0.2021, -0.1204, -0.1120], [-0.0810, 0.0155, 0.2507, ..., -0.1753, -0.1731, -0.2043], ..., [-0.2181, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1140], [-0.1468, -0.1021, -0.0931, ..., -0.1775, -0.0188, -0.2256], [-0.2173, -0.0812, -0.1800, ..., -0.2313, -0.0599, 0.1607]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -1.1176e-08, ..., 9.3132e-10, 0.0000e+00, -1.3039e-08], [ 1.4901e-08, 0.0000e+00, 0.0000e+00, ..., -1.5832e-08, 9.3132e-10, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 0.0000e+00, ..., 9.3132e-10, 0.0000e+00, 0.0000e+00], ..., [ 1.0245e-08, 0.0000e+00, 0.0000e+00, ..., 1.0245e-08, 0.0000e+00, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, 9.3132e-10, ..., 2.7940e-09, -0.0000e+00, 2.7940e-09], [ 7.1712e-08, 0.0000e+00, 4.6566e-09, ..., 0.0000e+00, 0.0000e+00, 8.3819e-09]], device='cuda:0') Epoch 432, bias, value: tensor([-0.0376, -0.0302, 0.0086, 0.0303, -0.0185, 0.0064, -0.0172, 0.0160, 0.0097, -0.0054], device='cuda:0'), grad: tensor([-2.0489e-08, -1.3970e-08, 7.4506e-09, -2.5146e-08, -1.8533e-07, 1.6764e-08, 1.6764e-08, 5.3085e-08, 1.4901e-08, 1.5460e-07], device='cuda:0') 100 1e-05 changing lr epoch 431, time 214.30, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4083 re_mapping 0.0021 re_causal 0.0080 /// teacc 99.21 lr 0.00001000 Epoch 433, weight, value: tensor([[-0.1511, 0.0566, 0.0945, ..., -0.1018, -0.1929, 0.0745], [-0.1316, -0.0661, -0.1518, ..., 0.2021, -0.1204, -0.1120], [-0.0810, 0.0155, 0.2507, ..., -0.1753, -0.1732, -0.2044], ..., [-0.2182, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1141], [-0.1468, -0.1021, -0.0931, ..., -0.1777, -0.0188, -0.2256], [-0.2174, -0.0812, -0.1801, ..., -0.2314, -0.0600, 0.1608]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 2.7940e-09, 0.0000e+00, 6.5193e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., -4.6566e-09, 9.3132e-10, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, -1.4901e-08, ..., 2.7940e-09, 9.3132e-10, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, 4.6566e-09, ..., 2.7940e-09, 9.3132e-10, 1.0245e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 3.7253e-09, 0.0000e+00, 6.5193e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 0.0000e+00, -3.9116e-08]], device='cuda:0') Epoch 433, bias, value: tensor([-0.0376, -0.0302, 0.0086, 0.0303, -0.0185, 0.0064, -0.0171, 0.0160, 0.0097, -0.0054], device='cuda:0'), grad: tensor([ 3.6322e-08, 1.3039e-08, -1.8626e-09, 1.0245e-08, 1.7695e-08, 6.5193e-09, -2.7008e-08, 8.4750e-08, -4.0047e-08, -9.4064e-08], device='cuda:0') 100 1e-05 changing lr epoch 432, time 214.28, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4193 re_mapping 0.0022 re_causal 0.0080 /// teacc 99.19 lr 0.00001000 Epoch 434, weight, value: tensor([[-0.1512, 0.0566, 0.0946, ..., -0.1018, -0.1930, 0.0745], [-0.1317, -0.0661, -0.1518, ..., 0.2021, -0.1204, -0.1121], [-0.0810, 0.0155, 0.2508, ..., -0.1754, -0.1732, -0.2044], ..., [-0.2183, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1143], [-0.1469, -0.1021, -0.0931, ..., -0.1778, -0.0188, -0.2256], [-0.2174, -0.0812, -0.1802, ..., -0.2314, -0.0600, 0.1608]], device='cuda:0'), grad: tensor([[ 1.6764e-08, 0.0000e+00, 2.9802e-08, ..., 9.3132e-09, 0.0000e+00, 9.3132e-10], [ 4.6566e-09, 0.0000e+00, 3.7253e-09, ..., -9.3132e-10, 9.3132e-10, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -7.5437e-08, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, 2.0489e-08, ..., 1.8626e-09, 0.0000e+00, 4.6566e-09], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 5.5879e-09, -0.0000e+00, 9.3132e-10], [ 4.2282e-07, 0.0000e+00, 1.8626e-09, ..., 0.0000e+00, 0.0000e+00, -8.3819e-09]], device='cuda:0') Epoch 434, bias, value: tensor([-0.0376, -0.0302, 0.0086, 0.0303, -0.0185, 0.0064, -0.0171, 0.0160, 0.0097, -0.0054], device='cuda:0'), grad: tensor([ 1.0058e-07, 1.7695e-08, -1.1642e-07, 1.3039e-08, -5.9418e-07, 6.5193e-08, -7.1712e-08, 6.7055e-08, -8.3819e-09, 5.3924e-07], device='cuda:0') 100 1e-05 changing lr epoch 433, time 214.36, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4527 re_mapping 0.0022 re_causal 0.0083 /// teacc 99.17 lr 0.00001000 Epoch 435, weight, value: tensor([[-0.1512, 0.0566, 0.0946, ..., -0.1018, -0.1930, 0.0746], [-0.1317, -0.0661, -0.1518, ..., 0.2021, -0.1204, -0.1121], [-0.0811, 0.0155, 0.2508, ..., -0.1754, -0.1732, -0.2044], ..., [-0.2183, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1144], [-0.1469, -0.1021, -0.0931, ..., -0.1779, -0.0188, -0.2257], [-0.2175, -0.0812, -0.1802, ..., -0.2314, -0.0601, 0.1608]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.9802e-08, ..., 8.3819e-09, 0.0000e+00, -9.3132e-08], [ 7.4506e-09, 0.0000e+00, 3.7253e-09, ..., -1.0245e-07, 9.3132e-10, 9.3132e-09], [ 0.0000e+00, 0.0000e+00, -8.5682e-08, ..., 1.8626e-09, 9.3132e-10, 1.8626e-09], ..., [ 0.0000e+00, 0.0000e+00, 2.7940e-08, ..., 2.5146e-08, -0.0000e+00, 6.1467e-08], [ 0.0000e+00, 0.0000e+00, 6.5193e-09, ..., 4.0047e-08, 0.0000e+00, 1.1176e-08], [ 1.3039e-08, 0.0000e+00, 2.9802e-08, ..., 1.8626e-09, -9.3132e-10, 2.7940e-09]], device='cuda:0') Epoch 435, bias, value: tensor([-0.0375, -0.0302, 0.0086, 0.0303, -0.0184, 0.0064, -0.0171, 0.0160, 0.0097, -0.0054], device='cuda:0'), grad: tensor([-1.4715e-07, -1.6484e-07, -1.5367e-07, 9.6858e-08, -1.6764e-08, 1.0990e-07, -6.7987e-08, 2.1700e-07, 9.2201e-08, 4.7497e-08], device='cuda:0') 100 1e-05 changing lr epoch 434, time 214.46, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4365 re_mapping 0.0022 re_causal 0.0082 /// teacc 99.17 lr 0.00001000 Epoch 436, weight, value: tensor([[-0.1512, 0.0567, 0.0947, ..., -0.1019, -0.1930, 0.0746], [-0.1317, -0.0661, -0.1519, ..., 0.2021, -0.1204, -0.1122], [-0.0811, 0.0155, 0.2508, ..., -0.1754, -0.1733, -0.2044], ..., [-0.2184, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1146], [-0.1469, -0.1021, -0.0931, ..., -0.1781, -0.0188, -0.2257], [-0.2176, -0.0812, -0.1803, ..., -0.2314, -0.0601, 0.1608]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 1.8626e-09, ..., 2.7940e-09, 0.0000e+00, 6.5193e-09], [ 0.0000e+00, 0.0000e+00, 1.0245e-08, ..., -9.3132e-10, 1.1176e-08, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, -2.6077e-08, ..., 0.0000e+00, 1.8626e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -9.3132e-09, ..., 1.8626e-09, -3.0734e-08, 1.0245e-08], [ 9.3132e-10, 0.0000e+00, 4.6566e-09, ..., 1.8626e-09, 2.7940e-09, 7.4506e-09], [ 1.8626e-09, 0.0000e+00, 7.4506e-09, ..., 0.0000e+00, 9.3132e-09, -4.2841e-08]], device='cuda:0') Epoch 436, bias, value: tensor([-0.0375, -0.0302, 0.0086, 0.0303, -0.0184, 0.0064, -0.0171, 0.0160, 0.0097, -0.0054], device='cuda:0'), grad: tensor([ 4.5635e-08, 5.2154e-08, -2.7940e-08, 2.8871e-08, 4.0047e-08, 6.7987e-08, -1.0245e-08, -1.8626e-09, -1.4715e-07, -5.8673e-08], device='cuda:0') 100 1e-05 changing lr epoch 435, time 214.28, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4038 re_mapping 0.0022 re_causal 0.0079 /// teacc 99.19 lr 0.00001000 Epoch 437, weight, value: tensor([[-0.1513, 0.0567, 0.0948, ..., -0.1019, -0.1930, 0.0746], [-0.1317, -0.0661, -0.1519, ..., 0.2021, -0.1204, -0.1122], [-0.0811, 0.0155, 0.2509, ..., -0.1755, -0.1733, -0.2044], ..., [-0.2186, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1147], [-0.1470, -0.1021, -0.0931, ..., -0.1782, -0.0188, -0.2258], [-0.2176, -0.0812, -0.1804, ..., -0.2314, -0.0602, 0.1608]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -2.7940e-09, ..., 7.4506e-09, 0.0000e+00, -8.3819e-09], [ 1.6764e-08, 0.0000e+00, 1.7695e-08, ..., 6.5193e-09, 9.3132e-10, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, -4.4703e-08, ..., 9.3132e-10, 1.8626e-09, 0.0000e+00], ..., [ 2.1420e-08, 0.0000e+00, 5.5879e-09, ..., 5.5879e-09, -4.6566e-09, 3.7253e-09], [ 2.7940e-09, 0.0000e+00, 1.0245e-08, ..., 2.7940e-09, 4.6566e-09, 1.8626e-09], [ 1.6764e-08, 0.0000e+00, 5.5879e-09, ..., 1.8626e-09, 9.3132e-10, -3.7253e-09]], device='cuda:0') Epoch 437, bias, value: tensor([-0.0375, -0.0302, 0.0086, 0.0303, -0.0184, 0.0063, -0.0171, 0.0160, 0.0097, -0.0055], device='cuda:0'), grad: tensor([ 1.2107e-08, 7.7300e-08, -7.4506e-08, 3.0734e-08, -7.9162e-08, 1.6019e-07, -2.3562e-07, 5.7742e-08, 4.6566e-08, 1.7695e-08], device='cuda:0') 100 1e-05 changing lr epoch 436, time 214.25, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4324 re_mapping 0.0022 re_causal 0.0083 /// teacc 99.19 lr 0.00001000 Epoch 438, weight, value: tensor([[-0.1513, 0.0567, 0.0948, ..., -0.1020, -0.1930, 0.0747], [-0.1318, -0.0661, -0.1519, ..., 0.2021, -0.1205, -0.1122], [-0.0811, 0.0155, 0.2509, ..., -0.1755, -0.1733, -0.2045], ..., [-0.2186, -0.0779, 0.0330, ..., -0.0685, 0.1326, -0.1149], [-0.1470, -0.1021, -0.0931, ..., -0.1784, -0.0188, -0.2258], [-0.2177, -0.0812, -0.1804, ..., -0.2315, -0.0603, 0.1608]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, -1.8626e-09, ..., 4.6566e-09, 9.3132e-10, -9.3132e-10], [ 2.8871e-08, 0.0000e+00, 3.7253e-09, ..., -5.5879e-09, 1.2107e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -4.6566e-09, ..., 0.0000e+00, 9.3132e-10, 0.0000e+00], ..., [ 8.3726e-07, 0.0000e+00, -1.8626e-09, ..., 4.6566e-09, 1.5274e-07, 1.5832e-08], [ 7.4506e-09, 0.0000e+00, 9.3132e-10, ..., 7.4506e-09, 3.7253e-09, 1.8626e-09], [ 6.5845e-07, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 1.3132e-07, 5.5879e-09]], device='cuda:0') Epoch 438, bias, value: tensor([-0.0375, -0.0302, 0.0086, 0.0303, -0.0184, 0.0064, -0.0171, 0.0160, 0.0097, -0.0055], device='cuda:0'), grad: tensor([ 2.0489e-08, 5.7742e-08, -6.5193e-09, 2.9802e-08, -2.8685e-06, -5.5879e-09, -3.5390e-08, 1.5786e-06, 2.7940e-09, 1.2247e-06], device='cuda:0') 100 1e-05 changing lr epoch 437, time 214.37, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4058 re_mapping 0.0022 re_causal 0.0079 /// teacc 99.18 lr 0.00001000 Epoch 439, weight, value: tensor([[-0.1514, 0.0567, 0.0949, ..., -0.1020, -0.1931, 0.0747], [-0.1318, -0.0661, -0.1519, ..., 0.2021, -0.1205, -0.1123], [-0.0811, 0.0155, 0.2509, ..., -0.1755, -0.1734, -0.2045], ..., [-0.2188, -0.0779, 0.0331, ..., -0.0685, 0.1326, -0.1150], [-0.1471, -0.1021, -0.0931, ..., -0.1785, -0.0188, -0.2259], [-0.2178, -0.0812, -0.1805, ..., -0.2315, -0.0603, 0.1608]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 0.0000e+00, -8.6613e-08, ..., 1.1176e-08, 0.0000e+00, -1.5646e-07], [ 1.0245e-08, 0.0000e+00, 7.4506e-09, ..., -2.7940e-09, 9.3132e-10, 2.7940e-09], [ 2.0489e-08, 0.0000e+00, 1.3039e-08, ..., 6.0536e-08, 9.3132e-10, 2.7940e-09], ..., [ 3.7253e-09, 0.0000e+00, -0.0000e+00, ..., 6.5193e-09, -1.8626e-09, 1.2107e-08], [ 5.5879e-09, 0.0000e+00, 1.7695e-08, ..., 1.8626e-08, 0.0000e+00, 2.0489e-08], [ 3.9116e-08, 0.0000e+00, 5.8673e-08, ..., 9.3132e-10, -9.3132e-10, 8.5682e-08]], device='cuda:0') Epoch 439, bias, value: tensor([-0.0375, -0.0302, 0.0086, 0.0302, -0.0183, 0.0064, -0.0171, 0.0160, 0.0097, -0.0055], device='cuda:0'), grad: tensor([-4.4238e-07, 1.8626e-08, 1.6484e-07, 4.4703e-08, -1.0245e-08, 5.4948e-08, -3.0920e-07, 4.8429e-08, 9.4995e-08, 3.4273e-07], device='cuda:0') 100 1e-05 changing lr epoch 438, time 214.16, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4427 re_mapping 0.0022 re_causal 0.0082 /// teacc 99.21 lr 0.00001000 Epoch 440, weight, value: tensor([[-0.1514, 0.0567, 0.0949, ..., -0.1020, -0.1931, 0.0747], [-0.1318, -0.0661, -0.1520, ..., 0.2021, -0.1205, -0.1123], [-0.0812, 0.0155, 0.2510, ..., -0.1755, -0.1734, -0.2045], ..., [-0.2188, -0.0779, 0.0331, ..., -0.0685, 0.1326, -0.1151], [-0.1471, -0.1021, -0.0931, ..., -0.1786, -0.0188, -0.2259], [-0.2178, -0.0812, -0.1806, ..., -0.2316, -0.0604, 0.1609]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.3970e-08, ..., 0.0000e+00, 0.0000e+00, -2.1420e-08], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., -2.9802e-08, 4.6566e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 9.3132e-10, 9.3132e-10, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -9.3132e-10, ..., 2.7940e-08, -9.3132e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.8626e-09, 9.3132e-10, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 1.2107e-08, ..., 9.3132e-10, 2.7940e-09, -2.2352e-08]], device='cuda:0') Epoch 440, bias, value: tensor([-0.0375, -0.0302, 0.0087, 0.0302, -0.0183, 0.0064, -0.0171, 0.0160, 0.0097, -0.0055], device='cuda:0'), grad: tensor([-5.0291e-08, -4.2841e-08, 4.6566e-09, 1.8626e-08, 1.4901e-08, 6.1467e-08, 6.5193e-09, 3.3528e-08, 1.0245e-08, -3.6322e-08], device='cuda:0') 100 1e-05 changing lr epoch 439, time 214.26, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4465 re_mapping 0.0021 re_causal 0.0083 /// teacc 99.20 lr 0.00001000 Epoch 441, weight, value: tensor([[-0.1515, 0.0567, 0.0950, ..., -0.1021, -0.1932, 0.0747], [-0.1318, -0.0661, -0.1520, ..., 0.2021, -0.1205, -0.1124], [-0.0812, 0.0155, 0.2510, ..., -0.1756, -0.1734, -0.2045], ..., [-0.2189, -0.0779, 0.0331, ..., -0.0685, 0.1326, -0.1153], [-0.1472, -0.1021, -0.0931, ..., -0.1788, -0.0188, -0.2260], [-0.2179, -0.0812, -0.1807, ..., -0.2316, -0.0605, 0.1609]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -2.7940e-09, ..., 2.7940e-09, 0.0000e+00, -1.8626e-09], [ 1.8626e-09, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 5.5879e-09, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.8626e-09, 4.6566e-09, 0.0000e+00], ..., [ 1.8626e-09, 0.0000e+00, -6.5193e-09, ..., 9.3132e-10, -1.3039e-08, 8.3819e-09], [ 1.8626e-09, 0.0000e+00, 9.3132e-10, ..., 5.5879e-09, 9.3132e-10, 3.7253e-09], [ 2.9802e-08, 0.0000e+00, 3.7253e-09, ..., 9.3132e-10, 1.8626e-09, -2.9802e-08]], device='cuda:0') Epoch 441, bias, value: tensor([-0.0375, -0.0302, 0.0087, 0.0302, -0.0183, 0.0064, -0.0171, 0.0160, 0.0097, -0.0055], device='cuda:0'), grad: tensor([ 3.7253e-09, 3.2596e-08, 1.2107e-08, 5.5879e-09, 2.1420e-08, 2.7847e-07, -2.9895e-07, 1.4901e-08, 1.8626e-09, -6.1467e-08], device='cuda:0') 100 1e-05 changing lr epoch 440, time 214.36, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4025 re_mapping 0.0022 re_causal 0.0080 /// teacc 99.18 lr 0.00001000 Epoch 442, weight, value: tensor([[-0.1515, 0.0567, 0.0951, ..., -0.1021, -0.1932, 0.0748], [-0.1319, -0.0661, -0.1520, ..., 0.2021, -0.1205, -0.1124], [-0.0812, 0.0155, 0.2510, ..., -0.1756, -0.1735, -0.2045], ..., [-0.2190, -0.0779, 0.0331, ..., -0.0685, 0.1327, -0.1154], [-0.1472, -0.1021, -0.0931, ..., -0.1789, -0.0188, -0.2261], [-0.2179, -0.0812, -0.1808, ..., -0.2316, -0.0606, 0.1609]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.4901e-08, ..., 1.8626e-09, 0.0000e+00, -4.5635e-08], [-1.8626e-08, 0.0000e+00, 9.3132e-09, ..., -1.1269e-07, 2.0489e-08, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., 9.3132e-10, 2.7940e-09, 9.3132e-10], ..., [ 4.1910e-08, 0.0000e+00, -1.6764e-08, ..., 2.4214e-08, -3.2596e-08, 8.3819e-09], [ 1.4901e-08, 0.0000e+00, 8.3819e-09, ..., 7.0781e-08, 8.3819e-09, 9.3132e-09], [ 6.7055e-08, 0.0000e+00, 1.0245e-08, ..., 3.7253e-09, 2.7940e-09, 1.8626e-09]], device='cuda:0') Epoch 442, bias, value: tensor([-0.0374, -0.0302, 0.0087, 0.0302, -0.0183, 0.0064, -0.0171, 0.0160, 0.0096, -0.0055], device='cuda:0'), grad: tensor([-8.0094e-08, -2.5518e-07, 1.1176e-08, 7.4506e-09, -1.2014e-07, 1.0245e-08, 5.5879e-09, 5.4948e-08, 2.3935e-07, 1.1362e-07], device='cuda:0') 100 1e-05 changing lr epoch 441, time 214.21, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4300 re_mapping 0.0022 re_causal 0.0083 /// teacc 99.20 lr 0.00001000 Epoch 443, weight, value: tensor([[-0.1516, 0.0567, 0.0952, ..., -0.1022, -0.1932, 0.0748], [-0.1319, -0.0661, -0.1520, ..., 0.2021, -0.1205, -0.1124], [-0.0812, 0.0155, 0.2511, ..., -0.1756, -0.1735, -0.2046], ..., [-0.2190, -0.0779, 0.0331, ..., -0.0685, 0.1327, -0.1155], [-0.1473, -0.1021, -0.0932, ..., -0.1791, -0.0188, -0.2262], [-0.2179, -0.0813, -0.1810, ..., -0.2317, -0.0607, 0.1609]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 0.0000e+00, -2.7940e-09, ..., 2.7940e-09, 1.8626e-09, -3.7253e-08], [ 0.0000e+00, 0.0000e+00, 8.3819e-09, ..., -7.4506e-09, 1.4901e-08, 4.6566e-09], [ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 4.6566e-09, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, -4.5635e-08, ..., 8.3819e-09, -9.2201e-08, 5.5879e-09], [ 9.3132e-10, 0.0000e+00, 4.6566e-09, ..., 3.7253e-09, 1.1176e-08, 6.5193e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-09, ..., 0.0000e+00, 1.3970e-08, 5.5879e-09]], device='cuda:0') Epoch 443, bias, value: tensor([-0.0374, -0.0302, 0.0087, 0.0302, -0.0184, 0.0064, -0.0171, 0.0160, 0.0096, -0.0056], device='cuda:0'), grad: tensor([-4.4703e-08, 3.5390e-08, 1.4901e-08, 5.2620e-07, 9.8720e-08, -6.0163e-07, 4.5635e-08, -1.6112e-07, 5.2154e-08, 4.7497e-08], device='cuda:0') 100 1e-05 changing lr epoch 442, time 213.85, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4211 re_mapping 0.0021 re_causal 0.0081 /// teacc 99.17 lr 0.00001000 Epoch 444, weight, value: tensor([[-0.1517, 0.0567, 0.0953, ..., -0.1023, -0.1933, 0.0748], [-0.1319, -0.0661, -0.1521, ..., 0.2021, -0.1205, -0.1124], [-0.0812, 0.0155, 0.2511, ..., -0.1757, -0.1736, -0.2046], ..., [-0.2191, -0.0779, 0.0332, ..., -0.0685, 0.1327, -0.1156], [-0.1473, -0.1021, -0.0932, ..., -0.1793, -0.0188, -0.2263], [-0.2180, -0.0813, -0.1811, ..., -0.2317, -0.0608, 0.1609]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, 9.3132e-10, ..., 1.3970e-09, 2.3283e-09, -4.6566e-10], [ 1.8626e-09, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 2.7940e-09, 4.6566e-10], [-9.3132e-10, 0.0000e+00, 4.6566e-10, ..., 0.0000e+00, 6.0536e-09, 0.0000e+00], ..., [ 5.5879e-09, 0.0000e+00, -5.5879e-09, ..., 9.3132e-10, -1.1642e-08, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, -2.1420e-08, ..., 3.7253e-09, 1.9558e-08, 2.3283e-08], [ 1.2107e-08, 0.0000e+00, 1.5367e-08, ..., 0.0000e+00, 1.1642e-08, 4.6566e-09]], device='cuda:0') Epoch 444, bias, value: tensor([-0.0374, -0.0302, 0.0087, 0.0302, -0.0184, 0.0064, -0.0170, 0.0160, 0.0096, -0.0056], device='cuda:0'), grad: tensor([ 1.6764e-08, 1.6298e-08, 8.8476e-09, 5.5414e-08, -3.4459e-08, -1.8161e-07, 1.6764e-08, 1.5367e-08, -2.7940e-09, 9.5926e-08], device='cuda:0') 100 1e-05 changing lr epoch 443, time 214.15, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4438 re_mapping 0.0021 re_causal 0.0080 /// teacc 99.18 lr 0.00001000 Epoch 445, weight, value: tensor([[-0.1517, 0.0567, 0.0954, ..., -0.1023, -0.1933, 0.0749], [-0.1320, -0.0661, -0.1521, ..., 0.2021, -0.1205, -0.1124], [-0.0813, 0.0155, 0.2511, ..., -0.1757, -0.1737, -0.2046], ..., [-0.2193, -0.0779, 0.0332, ..., -0.0685, 0.1327, -0.1158], [-0.1474, -0.1021, -0.0932, ..., -0.1795, -0.0188, -0.2263], [-0.2181, -0.0813, -0.1813, ..., -0.2318, -0.0609, 0.1609]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -3.2596e-09, ..., 9.3132e-10, 9.3132e-10, -9.7789e-09], [ 0.0000e+00, 0.0000e+00, 2.0023e-08, ..., -1.6764e-08, 3.2596e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, -1.6112e-07, ..., -1.7229e-08, 9.3132e-10, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, 1.5832e-08, ..., 9.3132e-09, -6.5193e-09, 4.1910e-09], [ 0.0000e+00, 0.0000e+00, 9.2667e-08, ..., 1.8161e-08, 2.7940e-09, 1.3970e-09], [ 1.3970e-09, 0.0000e+00, 4.1910e-09, ..., 0.0000e+00, 9.3132e-10, -9.3132e-10]], device='cuda:0') Epoch 445, bias, value: tensor([-0.0374, -0.0302, 0.0086, 0.0301, -0.0183, 0.0065, -0.0170, 0.0160, 0.0096, -0.0057], device='cuda:0'), grad: tensor([-1.2573e-08, 4.6566e-09, -3.3667e-07, 2.3982e-07, 4.0978e-08, -2.2352e-07, 2.3749e-08, 5.2154e-08, 2.2072e-07, 6.5193e-09], device='cuda:0') 100 1e-05 changing lr epoch 444, time 214.32, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4214 re_mapping 0.0021 re_causal 0.0079 /// teacc 99.20 lr 0.00001000 Epoch 446, weight, value: tensor([[-0.1518, 0.0567, 0.0955, ..., -0.1024, -0.1934, 0.0749], [-0.1320, -0.0661, -0.1522, ..., 0.2021, -0.1205, -0.1125], [-0.0813, 0.0155, 0.2511, ..., -0.1757, -0.1738, -0.2047], ..., [-0.2193, -0.0779, 0.0332, ..., -0.0685, 0.1327, -0.1159], [-0.1474, -0.1021, -0.0932, ..., -0.1797, -0.0188, -0.2264], [-0.2181, -0.0813, -0.1814, ..., -0.2318, -0.0610, 0.1609]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.2107e-08, ..., 0.0000e+00, 4.6566e-10, -1.7695e-08], [ 0.0000e+00, 0.0000e+00, 1.4901e-08, ..., -1.3970e-09, 2.1420e-08, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, 2.3283e-09, ..., 0.0000e+00, 1.2573e-08, 4.6566e-10], ..., [ 0.0000e+00, 0.0000e+00, -4.7497e-08, ..., 9.3132e-10, -7.4506e-08, 6.9849e-09], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 0.0000e+00, 6.5193e-09, 1.0710e-08], [ 0.0000e+00, 0.0000e+00, 1.9092e-08, ..., 0.0000e+00, 2.0489e-08, -2.2352e-08]], device='cuda:0') Epoch 446, bias, value: tensor([-0.0373, -0.0302, 0.0086, 0.0301, -0.0183, 0.0065, -0.0170, 0.0160, 0.0096, -0.0057], device='cuda:0'), grad: tensor([-4.7032e-08, 6.1002e-08, 2.5611e-08, -1.3039e-08, 4.0047e-08, 4.6566e-08, 2.0955e-08, -1.7229e-07, 5.3085e-08, -1.2573e-08], device='cuda:0') 100 1e-05 changing lr epoch 445, time 214.27, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4284 re_mapping 0.0020 re_causal 0.0080 /// teacc 99.19 lr 0.00001000 Epoch 447, weight, value: tensor([[-0.1519, 0.0567, 0.0956, ..., -0.1024, -0.1936, 0.0750], [-0.1320, -0.0661, -0.1522, ..., 0.2022, -0.1205, -0.1125], [-0.0813, 0.0155, 0.2511, ..., -0.1758, -0.1738, -0.2047], ..., [-0.2194, -0.0779, 0.0333, ..., -0.0686, 0.1328, -0.1160], [-0.1475, -0.1021, -0.0932, ..., -0.1799, -0.0188, -0.2265], [-0.2182, -0.0813, -0.1816, ..., -0.2319, -0.0612, 0.1609]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -9.7789e-09, ..., 0.0000e+00, 4.6566e-10, -1.6764e-08], [ 0.0000e+00, 0.0000e+00, 8.8476e-09, ..., -1.0664e-07, 3.3062e-08, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -6.1002e-08, ..., 3.2596e-09, 6.0536e-09, 4.6566e-10], ..., [ 0.0000e+00, 0.0000e+00, 1.5832e-08, ..., 9.2201e-08, -7.3109e-08, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 1.7695e-08, ..., 5.5879e-09, 5.1223e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 8.8476e-09, ..., 2.3283e-09, 2.2817e-08, 4.6566e-09]], device='cuda:0') Epoch 447, bias, value: tensor([-0.0373, -0.0302, 0.0085, 0.0301, -0.0183, 0.0065, -0.0170, 0.0160, 0.0096, -0.0057], device='cuda:0'), grad: tensor([-3.3993e-08, -2.4680e-07, -8.0094e-08, -9.3132e-09, 1.0710e-08, 9.3132e-09, 1.6298e-08, 1.9930e-07, 6.4727e-08, 7.5437e-08], device='cuda:0') 100 1e-05 changing lr epoch 446, time 214.39, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4156 re_mapping 0.0021 re_causal 0.0080 /// teacc 99.18 lr 0.00001000 Epoch 448, weight, value: tensor([[-0.1519, 0.0567, 0.0957, ..., -0.1025, -0.1937, 0.0750], [-0.1321, -0.0661, -0.1523, ..., 0.2022, -0.1206, -0.1126], [-0.0814, 0.0155, 0.2511, ..., -0.1759, -0.1739, -0.2048], ..., [-0.2194, -0.0779, 0.0333, ..., -0.0686, 0.1328, -0.1162], [-0.1475, -0.1021, -0.0932, ..., -0.1801, -0.0188, -0.2267], [-0.2182, -0.0813, -0.1818, ..., -0.2319, -0.0613, 0.1610]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, 9.3132e-10, ..., 5.1223e-09, 0.0000e+00, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, 1.0245e-08, ..., -7.4506e-09, 2.5611e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 4.6566e-10, 3.7253e-09, 0.0000e+00], ..., [ 1.3970e-09, 0.0000e+00, -1.4435e-08, ..., 6.0536e-09, -4.1910e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -3.7253e-09, ..., 9.7789e-09, 2.7940e-09, 1.3970e-09], [ 2.7940e-08, 0.0000e+00, 4.1910e-09, ..., 0.0000e+00, 7.4506e-09, 9.3132e-10]], device='cuda:0') Epoch 448, bias, value: tensor([-0.0372, -0.0302, 0.0085, 0.0301, -0.0183, 0.0065, -0.0170, 0.0160, 0.0096, -0.0058], device='cuda:0'), grad: tensor([ 2.4214e-08, 7.9162e-08, 2.5146e-08, 2.7474e-08, -3.1199e-08, 2.5146e-08, -4.8429e-08, -1.1362e-07, -3.3993e-08, 7.0315e-08], device='cuda:0') 100 1e-05 changing lr epoch 447, time 214.43, cls_loss 0.0003 cls_loss_mapping 0.0003 cls_loss_causal 0.3940 re_mapping 0.0021 re_causal 0.0078 /// teacc 99.18 lr 0.00001000 Epoch 449, weight, value: tensor([[-0.1519, 0.0567, 0.0959, ..., -0.1025, -0.1938, 0.0751], [-0.1321, -0.0661, -0.1523, ..., 0.2022, -0.1206, -0.1126], [-0.0814, 0.0155, 0.2511, ..., -0.1759, -0.1740, -0.2049], ..., [-0.2195, -0.0779, 0.0334, ..., -0.0686, 0.1328, -0.1164], [-0.1475, -0.1021, -0.0932, ..., -0.1802, -0.0188, -0.2267], [-0.2183, -0.0813, -0.1819, ..., -0.2320, -0.0615, 0.1610]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -5.1223e-09, ..., 0.0000e+00, 0.0000e+00, -3.7253e-09], [ 8.3819e-09, 0.0000e+00, 1.2573e-08, ..., -6.0536e-09, 1.3504e-08, 1.3970e-09], [ 2.3283e-09, 0.0000e+00, 7.4506e-09, ..., 4.6566e-10, 5.5879e-09, 0.0000e+00], ..., [-3.0734e-08, 0.0000e+00, -6.1467e-08, ..., 4.1910e-09, -7.0315e-08, 1.8626e-08], [ 4.1910e-09, 0.0000e+00, 1.0245e-08, ..., 9.3132e-10, 9.7789e-09, 5.1223e-09], [ 6.0536e-09, 0.0000e+00, 4.1910e-09, ..., 0.0000e+00, 4.6566e-10, -3.8184e-08]], device='cuda:0') Epoch 449, bias, value: tensor([-0.0372, -0.0302, 0.0085, 0.0300, -0.0183, 0.0065, -0.0170, 0.0160, 0.0096, -0.0058], device='cuda:0'), grad: tensor([-1.0710e-08, 3.6787e-08, 2.7474e-08, 9.3132e-10, 1.0291e-07, 1.0245e-08, 3.7253e-09, -1.1642e-07, 1.7229e-08, -6.9849e-08], device='cuda:0') 100 1e-05 changing lr epoch 448, time 214.12, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4496 re_mapping 0.0021 re_causal 0.0085 /// teacc 99.18 lr 0.00001000 Epoch 450, weight, value: tensor([[-0.1520, 0.0567, 0.0960, ..., -0.1025, -0.1939, 0.0751], [-0.1321, -0.0661, -0.1523, ..., 0.2022, -0.1206, -0.1127], [-0.0814, 0.0155, 0.2511, ..., -0.1760, -0.1740, -0.2049], ..., [-0.2195, -0.0779, 0.0334, ..., -0.0686, 0.1328, -0.1166], [-0.1475, -0.1021, -0.0932, ..., -0.1803, -0.0188, -0.2268], [-0.2183, -0.0813, -0.1821, ..., -0.2320, -0.0616, 0.1610]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.7229e-08, ..., 4.6566e-10, 4.6566e-10, -2.4214e-08], [ 0.0000e+00, 0.0000e+00, 2.3283e-09, ..., -3.1665e-08, 2.7940e-09, -6.0536e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., 9.3132e-09, 1.8626e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -6.5193e-09, ..., 1.3970e-08, -9.3132e-09, 4.6566e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., 4.6566e-09, 1.8626e-09, 2.3283e-09], [ 4.6566e-10, 0.0000e+00, 1.8161e-08, ..., 9.3132e-10, 2.7940e-09, 2.3283e-08]], device='cuda:0') Epoch 450, bias, value: tensor([-0.0371, -0.0302, 0.0084, 0.0300, -0.0184, 0.0065, -0.0170, 0.0160, 0.0096, -0.0058], device='cuda:0'), grad: tensor([-4.8894e-08, -1.0105e-07, 4.2375e-08, -3.0734e-08, 4.6566e-09, -1.1548e-07, 6.1002e-08, 8.5216e-08, 4.5635e-08, 7.0315e-08], device='cuda:0') 100 1e-05 changing lr epoch 449, time 214.39, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.3814 re_mapping 0.0020 re_causal 0.0075 /// teacc 99.19 lr 0.00001000 Epoch 451, weight, value: tensor([[-0.1520, 0.0568, 0.0962, ..., -0.1026, -0.1939, 0.0752], [-0.1321, -0.0661, -0.1524, ..., 0.2022, -0.1206, -0.1127], [-0.0814, 0.0155, 0.2512, ..., -0.1760, -0.1741, -0.2049], ..., [-0.2196, -0.0779, 0.0334, ..., -0.0686, 0.1329, -0.1167], [-0.1475, -0.1021, -0.0932, ..., -0.1805, -0.0188, -0.2269], [-0.2184, -0.0813, -0.1823, ..., -0.2321, -0.0618, 0.1610]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 0.0000e+00, -1.3970e-09, ..., 5.4017e-08, 9.3132e-10, 6.5193e-09], [ 2.7940e-09, 0.0000e+00, 3.7253e-09, ..., -6.0070e-07, 7.9162e-09, -6.3330e-08], [ 4.6566e-10, 0.0000e+00, 9.3132e-10, ..., 3.2596e-09, 2.3283e-09, 4.6566e-10], ..., [ 2.3283e-09, 0.0000e+00, -1.2573e-08, ..., 5.5786e-07, -2.7008e-08, 7.5903e-08], [ 4.6566e-10, 0.0000e+00, 9.3132e-10, ..., 4.5635e-08, 2.7940e-09, 8.8476e-09], [ 1.8626e-08, 0.0000e+00, 6.9849e-09, ..., 3.6787e-08, 1.2573e-08, -7.1712e-08]], device='cuda:0') Epoch 451, bias, value: tensor([-0.0371, -0.0302, 0.0085, 0.0299, -0.0184, 0.0066, -0.0170, 0.0160, 0.0096, -0.0059], device='cuda:0'), grad: tensor([ 1.4948e-07, -1.0990e-06, 1.6764e-08, 8.1258e-07, 1.4668e-07, -8.2236e-07, -3.1246e-07, 1.0356e-06, 1.3458e-07, -6.4727e-08], device='cuda:0') 100 1e-05 changing lr epoch 450, time 214.54, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4062 re_mapping 0.0021 re_causal 0.0078 /// teacc 99.17 lr 0.00001000 Epoch 452, weight, value: tensor([[-0.1521, 0.0568, 0.0963, ..., -0.1026, -0.1940, 0.0752], [-0.1321, -0.0661, -0.1524, ..., 0.2022, -0.1206, -0.1128], [-0.0815, 0.0155, 0.2513, ..., -0.1761, -0.1741, -0.2050], ..., [-0.2196, -0.0779, 0.0334, ..., -0.0686, 0.1329, -0.1169], [-0.1475, -0.1021, -0.0933, ..., -0.1806, -0.0188, -0.2270], [-0.2184, -0.0813, -0.1824, ..., -0.2321, -0.0619, 0.1610]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -5.5879e-09, ..., 2.7940e-09, 9.3132e-10, -1.1176e-08], [-4.6566e-10, 0.0000e+00, 5.1223e-09, ..., -6.5193e-09, 6.9849e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, -5.1223e-09, ..., 9.3132e-10, 6.5193e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -1.1642e-08, ..., 5.1223e-09, -2.9802e-08, 6.0536e-09], [ 0.0000e+00, 0.0000e+00, 2.3283e-09, ..., 6.0536e-09, 2.3283e-09, 9.3132e-10], [ 2.7940e-09, 0.0000e+00, 1.3504e-08, ..., 4.6566e-10, 1.0710e-08, 2.3283e-09]], device='cuda:0') Epoch 452, bias, value: tensor([-0.0370, -0.0302, 0.0084, 0.0299, -0.0184, 0.0066, -0.0170, 0.0160, 0.0096, -0.0059], device='cuda:0'), grad: tensor([-1.3039e-08, 4.1910e-09, 5.5879e-09, 3.6787e-08, 6.0536e-09, -1.8626e-09, -5.7276e-08, -3.9116e-08, 3.0268e-08, 4.0513e-08], device='cuda:0') 100 1e-05 changing lr epoch 451, time 214.31, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4136 re_mapping 0.0021 re_causal 0.0080 /// teacc 99.21 lr 0.00001000 Epoch 453, weight, value: tensor([[-0.1521, 0.0568, 0.0963, ..., -0.1027, -0.1941, 0.0752], [-0.1322, -0.0661, -0.1525, ..., 0.2022, -0.1206, -0.1128], [-0.0815, 0.0155, 0.2513, ..., -0.1761, -0.1742, -0.2050], ..., [-0.2197, -0.0779, 0.0335, ..., -0.0686, 0.1329, -0.1172], [-0.1475, -0.1021, -0.0933, ..., -0.1806, -0.0188, -0.2270], [-0.2184, -0.0813, -0.1825, ..., -0.2321, -0.0620, 0.1610]], device='cuda:0'), grad: tensor([[ 2.3283e-09, 0.0000e+00, -9.3132e-10, ..., 4.6566e-10, 4.6566e-10, -1.3970e-09], [ 1.9558e-08, 0.0000e+00, 6.5193e-09, ..., 4.6566e-10, 1.0710e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -2.3283e-09, ..., 0.0000e+00, 3.7253e-09, 0.0000e+00], ..., [ 4.7963e-07, 0.0000e+00, -1.7695e-08, ..., 0.0000e+00, 2.8871e-08, 1.3970e-09], [ 5.1223e-09, 0.0000e+00, 5.1223e-09, ..., 6.0536e-09, 4.1910e-09, 0.0000e+00], [ 3.7672e-07, 0.0000e+00, 6.0536e-09, ..., 0.0000e+00, 5.0291e-08, -0.0000e+00]], device='cuda:0') Epoch 453, bias, value: tensor([-0.0371, -0.0302, 0.0084, 0.0299, -0.0184, 0.0067, -0.0170, 0.0160, 0.0096, -0.0059], device='cuda:0'), grad: tensor([ 2.7940e-09, 6.1467e-08, 3.7253e-09, 1.7229e-08, -1.6391e-06, 6.0536e-09, -1.2573e-08, 8.1398e-07, 3.9116e-08, 7.1153e-07], device='cuda:0') 100 1e-05 changing lr epoch 452, time 214.24, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4523 re_mapping 0.0020 re_causal 0.0082 /// teacc 99.17 lr 0.00001000 Epoch 454, weight, value: tensor([[-0.1522, 0.0568, 0.0964, ..., -0.1027, -0.1941, 0.0753], [-0.1322, -0.0661, -0.1525, ..., 0.2022, -0.1206, -0.1129], [-0.0815, 0.0155, 0.2514, ..., -0.1761, -0.1743, -0.2050], ..., [-0.2199, -0.0779, 0.0335, ..., -0.0686, 0.1329, -0.1174], [-0.1475, -0.1021, -0.0933, ..., -0.1807, -0.0188, -0.2271], [-0.2185, -0.0813, -0.1826, ..., -0.2322, -0.0621, 0.1611]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.5367e-08, ..., 9.3132e-10, 0.0000e+00, -2.7008e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., -5.5879e-09, 2.7940e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 9.3132e-10, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -5.1223e-09, ..., 4.6566e-09, -6.0536e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 9.3132e-10, 5.1223e-09, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 1.5367e-08, ..., 0.0000e+00, 3.2596e-09, 2.1420e-08]], device='cuda:0') Epoch 454, bias, value: tensor([-0.0370, -0.0302, 0.0085, 0.0299, -0.0183, 0.0067, -0.0170, 0.0160, 0.0096, -0.0059], device='cuda:0'), grad: tensor([-5.7742e-08, -2.3283e-09, 7.4506e-09, 1.7695e-08, 6.9849e-09, -2.5611e-08, 3.7253e-09, 4.6566e-09, -1.1176e-08, 6.5193e-08], device='cuda:0') 100 1e-05 changing lr epoch 453, time 214.07, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4166 re_mapping 0.0020 re_causal 0.0079 /// teacc 99.19 lr 0.00001000 Epoch 455, weight, value: tensor([[-0.1522, 0.0568, 0.0965, ..., -0.1027, -0.1941, 0.0753], [-0.1323, -0.0661, -0.1525, ..., 0.2022, -0.1206, -0.1129], [-0.0815, 0.0155, 0.2515, ..., -0.1762, -0.1743, -0.2051], ..., [-0.2200, -0.0779, 0.0335, ..., -0.0686, 0.1329, -0.1175], [-0.1475, -0.1021, -0.0933, ..., -0.1809, -0.0188, -0.2272], [-0.2186, -0.0813, -0.1829, ..., -0.2322, -0.0622, 0.1611]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -2.3283e-09, ..., 4.6566e-10, 4.6566e-10, -9.3132e-10], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., -6.6590e-08, 3.1199e-08, 9.3132e-09], [ 0.0000e+00, 0.0000e+00, -4.6566e-09, ..., 6.5193e-09, 3.7253e-09, 4.6566e-10], ..., [ 9.3132e-10, 0.0000e+00, -1.0245e-08, ..., 4.7497e-08, -6.1933e-08, -1.1176e-08], [ 4.6566e-10, 0.0000e+00, 3.7253e-09, ..., 7.9162e-09, 2.7940e-09, 5.5879e-09], [-2.7940e-09, 0.0000e+00, 6.0536e-09, ..., 4.6566e-10, 1.9092e-08, -4.0978e-08]], device='cuda:0') Epoch 455, bias, value: tensor([-0.0370, -0.0302, 0.0086, 0.0299, -0.0183, 0.0067, -0.0170, 0.0160, 0.0096, -0.0060], device='cuda:0'), grad: tensor([-9.3132e-10, -9.0804e-08, 1.4435e-08, 1.6298e-08, 7.0781e-08, 2.7940e-08, 4.6566e-09, -3.3528e-08, 4.7497e-08, -4.0978e-08], device='cuda:0') 100 1e-05 changing lr epoch 454, time 214.33, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4118 re_mapping 0.0020 re_causal 0.0078 /// teacc 99.15 lr 0.00001000 Epoch 456, weight, value: tensor([[-0.1523, 0.0568, 0.0966, ..., -0.1028, -0.1942, 0.0754], [-0.1323, -0.0661, -0.1526, ..., 0.2022, -0.1206, -0.1129], [-0.0815, 0.0155, 0.2516, ..., -0.1762, -0.1744, -0.2051], ..., [-0.2201, -0.0779, 0.0335, ..., -0.0686, 0.1329, -0.1177], [-0.1475, -0.1021, -0.0933, ..., -0.1811, -0.0189, -0.2272], [-0.2187, -0.0813, -0.1830, ..., -0.2323, -0.0623, 0.1611]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 9.3132e-10, 9.3132e-10, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 1.1642e-08, ..., -1.2945e-07, 1.6298e-08, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 7.6368e-08, 7.9162e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -2.3749e-08, ..., 4.4238e-08, -4.5169e-08, 2.7940e-09], [ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., 2.7940e-09, 7.9162e-09, 3.2596e-09], [ 0.0000e+00, 0.0000e+00, 6.5193e-09, ..., 9.3132e-10, 1.3970e-08, -4.6566e-09]], device='cuda:0') Epoch 456, bias, value: tensor([-0.0370, -0.0302, 0.0086, 0.0298, -0.0183, 0.0067, -0.0170, 0.0160, 0.0096, -0.0061], device='cuda:0'), grad: tensor([ 1.0710e-08, -2.3749e-07, 1.7090e-07, 1.2573e-08, 1.5367e-08, -5.2154e-08, 3.1665e-08, -9.3132e-10, 3.6322e-08, 3.4925e-08], device='cuda:0') 100 1e-05 changing lr epoch 455, time 214.40, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4023 re_mapping 0.0021 re_causal 0.0079 /// teacc 99.18 lr 0.00001000 Epoch 457, weight, value: tensor([[-0.1523, 0.0568, 0.0967, ..., -0.1029, -0.1943, 0.0754], [-0.1323, -0.0661, -0.1526, ..., 0.2022, -0.1206, -0.1130], [-0.0815, 0.0155, 0.2517, ..., -0.1762, -0.1744, -0.2051], ..., [-0.2201, -0.0779, 0.0335, ..., -0.0686, 0.1330, -0.1179], [-0.1475, -0.1021, -0.0933, ..., -0.1813, -0.0189, -0.2273], [-0.2188, -0.0813, -0.1831, ..., -0.2323, -0.0624, 0.1611]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -4.1910e-09, ..., 4.6566e-10, 0.0000e+00, -7.4506e-09], [ 4.1910e-09, 0.0000e+00, 1.3039e-08, ..., -2.7940e-09, 3.2596e-09, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -3.4925e-08, ..., 0.0000e+00, 4.6566e-10, 0.0000e+00], ..., [ 4.1910e-09, 0.0000e+00, 2.7940e-09, ..., 1.3970e-09, -8.8476e-09, 1.3970e-09], [ 1.3970e-09, 0.0000e+00, 1.3970e-08, ..., 9.3132e-10, 1.3970e-09, 0.0000e+00], [ 7.4971e-08, 0.0000e+00, 4.1910e-09, ..., 0.0000e+00, 3.2596e-09, 3.2596e-09]], device='cuda:0') Epoch 457, bias, value: tensor([-0.0370, -0.0302, 0.0087, 0.0298, -0.0183, 0.0068, -0.0171, 0.0160, 0.0096, -0.0061], device='cuda:0'), grad: tensor([-1.0710e-08, 3.3528e-08, -6.2399e-08, -3.6135e-07, -1.8440e-07, 3.2317e-07, 2.7474e-08, 2.0489e-08, 4.3306e-08, 1.7695e-07], device='cuda:0') 100 1e-05 changing lr epoch 456, time 214.22, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4221 re_mapping 0.0020 re_causal 0.0079 /// teacc 99.15 lr 0.00001000 Epoch 458, weight, value: tensor([[-0.1523, 0.0568, 0.0968, ..., -0.1030, -0.1944, 0.0754], [-0.1324, -0.0661, -0.1527, ..., 0.2022, -0.1206, -0.1130], [-0.0815, 0.0155, 0.2517, ..., -0.1763, -0.1745, -0.2051], ..., [-0.2202, -0.0779, 0.0335, ..., -0.0686, 0.1330, -0.1181], [-0.1475, -0.1021, -0.0933, ..., -0.1815, -0.0189, -0.2274], [-0.2188, -0.0813, -0.1833, ..., -0.2323, -0.0626, 0.1611]], device='cuda:0'), grad: tensor([[ 2.3283e-09, 0.0000e+00, 0.0000e+00, ..., 1.8626e-09, 0.0000e+00, 9.3132e-10], [ 9.3132e-09, 0.0000e+00, 8.8476e-09, ..., -2.3283e-09, 1.5367e-08, 5.5879e-09], [ 9.3132e-10, 0.0000e+00, 2.3283e-09, ..., 4.6566e-10, 3.2596e-09, 0.0000e+00], ..., [ 4.1910e-09, 0.0000e+00, -2.3283e-08, ..., 2.3283e-09, -3.4459e-08, 8.8476e-09], [ 2.7940e-09, 0.0000e+00, 3.2596e-09, ..., 9.3132e-09, 4.6566e-09, 6.5193e-09], [ 9.2201e-08, 0.0000e+00, 6.9849e-09, ..., 0.0000e+00, 1.0245e-08, -2.9337e-08]], device='cuda:0') Epoch 458, bias, value: tensor([-0.0370, -0.0302, 0.0087, 0.0298, -0.0183, 0.0068, -0.0171, 0.0160, 0.0096, -0.0061], device='cuda:0'), grad: tensor([ 2.0489e-08, 6.8452e-08, 1.3970e-08, -3.3993e-08, -2.1420e-07, 6.0536e-08, -6.9849e-08, -4.0978e-08, 9.7323e-08, 1.0757e-07], device='cuda:0') 100 1e-05 changing lr epoch 457, time 214.12, cls_loss 0.0003 cls_loss_mapping 0.0003 cls_loss_causal 0.4394 re_mapping 0.0020 re_causal 0.0082 /// teacc 99.16 lr 0.00001000 Epoch 459, weight, value: tensor([[-0.1524, 0.0568, 0.0969, ..., -0.1030, -0.1944, 0.0755], [-0.1324, -0.0661, -0.1527, ..., 0.2022, -0.1207, -0.1131], [-0.0816, 0.0155, 0.2518, ..., -0.1763, -0.1746, -0.2052], ..., [-0.2202, -0.0779, 0.0335, ..., -0.0686, 0.1330, -0.1183], [-0.1475, -0.1021, -0.0933, ..., -0.1817, -0.0189, -0.2275], [-0.2190, -0.0813, -0.1834, ..., -0.2324, -0.0627, 0.1612]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 0.0000e+00, 4.6566e-10, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], [ 1.7695e-08, 0.0000e+00, 9.7789e-09, ..., 2.3283e-09, 8.3819e-09, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, -1.5367e-08, ..., 0.0000e+00, 2.3283e-09, 0.0000e+00], ..., [ 3.0873e-07, 0.0000e+00, 9.3132e-10, ..., 4.6566e-10, 1.0710e-08, 0.0000e+00], [ 4.6566e-09, 0.0000e+00, 2.7940e-09, ..., -1.8626e-09, 1.8626e-09, 0.0000e+00], [ 3.7812e-07, 0.0000e+00, 4.1910e-09, ..., 0.0000e+00, 4.3772e-08, 0.0000e+00]], device='cuda:0') Epoch 459, bias, value: tensor([-0.0369, -0.0302, 0.0087, 0.0298, -0.0183, 0.0068, -0.0171, 0.0160, 0.0096, -0.0062], device='cuda:0'), grad: tensor([ 6.0536e-09, 1.0291e-07, -2.1886e-08, -3.2596e-09, -1.3085e-06, 1.5832e-08, 8.8476e-09, 5.4156e-07, -3.0268e-08, 7.0455e-07], device='cuda:0') 100 1e-05 changing lr epoch 458, time 214.28, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4442 re_mapping 0.0020 re_causal 0.0081 /// teacc 99.18 lr 0.00001000 Epoch 460, weight, value: tensor([[-0.1524, 0.0568, 0.0970, ..., -0.1031, -0.1945, 0.0756], [-0.1324, -0.0661, -0.1528, ..., 0.2022, -0.1207, -0.1131], [-0.0816, 0.0155, 0.2518, ..., -0.1763, -0.1746, -0.2052], ..., [-0.2204, -0.0779, 0.0336, ..., -0.0686, 0.1330, -0.1184], [-0.1475, -0.1021, -0.0934, ..., -0.1819, -0.0189, -0.2276], [-0.2191, -0.0813, -0.1835, ..., -0.2324, -0.0629, 0.1612]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -8.3819e-09, ..., 5.5879e-09, 0.0000e+00, -1.1176e-08], [ 9.3132e-10, 0.0000e+00, 1.3970e-09, ..., -2.3283e-09, 2.7940e-09, 4.6566e-10], [ 4.6566e-10, 0.0000e+00, 1.8626e-09, ..., 0.0000e+00, 3.2596e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -2.1420e-08, ..., 1.8626e-09, -3.6787e-08, 3.2596e-09], [ 4.6566e-10, 0.0000e+00, 9.7789e-09, ..., 4.1910e-09, 1.4435e-08, 2.7940e-09], [ 2.3283e-09, 0.0000e+00, 8.8476e-09, ..., 0.0000e+00, 6.5193e-09, -2.3283e-09]], device='cuda:0') Epoch 460, bias, value: tensor([-0.0369, -0.0302, 0.0087, 0.0298, -0.0182, 0.0068, -0.0171, 0.0160, 0.0096, -0.0062], device='cuda:0'), grad: tensor([-1.3970e-08, 2.3283e-09, 1.2573e-08, -7.5437e-08, 6.9849e-09, 4.9360e-08, -3.2596e-08, -2.6077e-08, 5.5879e-08, 2.9337e-08], device='cuda:0') 100 1e-05 changing lr epoch 459, time 214.45, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4037 re_mapping 0.0020 re_causal 0.0078 /// teacc 99.19 lr 0.00001000 Epoch 461, weight, value: tensor([[-0.1524, 0.0568, 0.0972, ..., -0.1031, -0.1946, 0.0756], [-0.1325, -0.0661, -0.1528, ..., 0.2022, -0.1207, -0.1132], [-0.0816, 0.0155, 0.2519, ..., -0.1764, -0.1747, -0.2052], ..., [-0.2205, -0.0780, 0.0336, ..., -0.0686, 0.1331, -0.1186], [-0.1475, -0.1021, -0.0934, ..., -0.1822, -0.0189, -0.2277], [-0.2192, -0.0813, -0.1838, ..., -0.2325, -0.0631, 0.1612]], device='cuda:0'), grad: tensor([[ 2.3283e-09, 0.0000e+00, -1.3039e-08, ..., 9.3132e-10, 0.0000e+00, -1.0245e-08], [ 3.7253e-09, 0.0000e+00, -2.3283e-09, ..., -3.3993e-08, 0.0000e+00, 2.3283e-09], [ 9.3132e-10, 0.0000e+00, 0.0000e+00, ..., 2.3283e-09, 0.0000e+00, 0.0000e+00], ..., [ 9.3132e-09, 0.0000e+00, 2.7940e-09, ..., 2.8871e-08, 0.0000e+00, 2.1886e-08], [ 3.2596e-09, 0.0000e+00, 0.0000e+00, ..., 3.2596e-09, 0.0000e+00, 8.3819e-09], [ 1.2573e-08, 0.0000e+00, 9.3132e-09, ..., 0.0000e+00, 0.0000e+00, -2.0070e-07]], device='cuda:0') Epoch 461, bias, value: tensor([-0.0368, -0.0302, 0.0087, 0.0298, -0.0182, 0.0068, -0.0171, 0.0160, 0.0096, -0.0064], device='cuda:0'), grad: tensor([-9.7789e-09, -6.1002e-08, 1.0245e-08, -2.1560e-07, 3.4133e-07, 2.3143e-07, -4.1910e-09, 1.4063e-07, 2.6543e-08, -4.5216e-07], device='cuda:0') 100 1e-05 changing lr epoch 460, time 214.27, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4448 re_mapping 0.0021 re_causal 0.0082 /// teacc 99.18 lr 0.00001000 Epoch 462, weight, value: tensor([[-0.1525, 0.0568, 0.0974, ..., -0.1032, -0.1947, 0.0757], [-0.1325, -0.0661, -0.1529, ..., 0.2023, -0.1207, -0.1132], [-0.0816, 0.0155, 0.2520, ..., -0.1764, -0.1748, -0.2052], ..., [-0.2205, -0.0780, 0.0337, ..., -0.0686, 0.1331, -0.1188], [-0.1475, -0.1021, -0.0934, ..., -0.1824, -0.0189, -0.2278], [-0.2192, -0.0813, -0.1841, ..., -0.2325, -0.0633, 0.1612]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.4342e-07, ..., 1.3970e-09, 9.3132e-10, -2.2817e-07], [-4.6566e-10, 0.0000e+00, 2.7940e-09, ..., -2.7940e-09, 9.3132e-10, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, 2.7940e-09, ..., 3.2596e-09, 4.6566e-10, 4.1910e-09], ..., [ 4.6566e-10, 0.0000e+00, 8.8476e-09, ..., 1.4435e-08, 4.6566e-10, 1.8626e-08], [ 0.0000e+00, 0.0000e+00, 6.0536e-09, ..., -1.3039e-08, 9.3132e-10, 1.1176e-08], [ 5.5879e-09, 0.0000e+00, 4.7032e-08, ..., 0.0000e+00, 4.6566e-10, 6.5658e-08]], device='cuda:0') Epoch 462, bias, value: tensor([-0.0367, -0.0302, 0.0088, 0.0298, -0.0182, 0.0068, -0.0171, 0.0160, 0.0096, -0.0064], device='cuda:0'), grad: tensor([-7.8278e-07, 2.8592e-07, 8.7544e-08, 1.6252e-07, 9.3132e-10, 1.8300e-07, 8.5216e-08, 1.0058e-07, -3.5809e-07, 2.4633e-07], device='cuda:0') 100 1e-05 changing lr epoch 461, time 214.24, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4075 re_mapping 0.0020 re_causal 0.0078 /// teacc 99.17 lr 0.00001000 Epoch 463, weight, value: tensor([[-0.1525, 0.0568, 0.0974, ..., -0.1033, -0.1947, 0.0758], [-0.1325, -0.0661, -0.1530, ..., 0.2023, -0.1207, -0.1133], [-0.0816, 0.0155, 0.2521, ..., -0.1765, -0.1749, -0.2053], ..., [-0.2205, -0.0780, 0.0337, ..., -0.0686, 0.1331, -0.1190], [-0.1476, -0.1021, -0.0935, ..., -0.1826, -0.0189, -0.2279], [-0.2193, -0.0813, -0.1842, ..., -0.2325, -0.0635, 0.1612]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -1.8626e-09, ..., 0.0000e+00, 4.6566e-10, -4.1910e-09], [ 4.6566e-10, 0.0000e+00, 5.5879e-09, ..., -1.8626e-09, 6.0536e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -9.3132e-09, ..., 4.6566e-10, 3.7253e-09, 0.0000e+00], ..., [ 1.3970e-09, 0.0000e+00, -6.0536e-09, ..., 2.7940e-09, -1.3504e-08, 0.0000e+00], [ 9.3132e-10, 0.0000e+00, 6.9849e-09, ..., 0.0000e+00, 2.7940e-09, 0.0000e+00], [ 2.6543e-08, 0.0000e+00, 2.7940e-09, ..., 0.0000e+00, 2.3283e-09, 2.7940e-09]], device='cuda:0') Epoch 463, bias, value: tensor([-0.0367, -0.0302, 0.0088, 0.0298, -0.0182, 0.0068, -0.0170, 0.0160, 0.0096, -0.0064], device='cuda:0'), grad: tensor([ 2.3283e-09, 2.4680e-08, -1.4435e-08, -1.9185e-07, -3.4925e-08, 2.5146e-08, 1.3039e-08, 6.8452e-08, 6.4727e-08, 5.4948e-08], device='cuda:0') 100 1e-05 changing lr epoch 462, time 214.22, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4494 re_mapping 0.0020 re_causal 0.0082 /// teacc 99.18 lr 0.00001000 Epoch 464, weight, value: tensor([[-0.1525, 0.0568, 0.0975, ..., -0.1034, -0.1948, 0.0759], [-0.1326, -0.0661, -0.1531, ..., 0.2023, -0.1207, -0.1134], [-0.0817, 0.0155, 0.2522, ..., -0.1766, -0.1750, -0.2053], ..., [-0.2206, -0.0780, 0.0338, ..., -0.0686, 0.1332, -0.1193], [-0.1476, -0.1021, -0.0935, ..., -0.1829, -0.0189, -0.2280], [-0.2194, -0.0813, -0.1844, ..., -0.2326, -0.0636, 0.1613]], device='cuda:0'), grad: tensor([[ 2.3283e-10, 0.0000e+00, -4.6566e-10, ..., 9.3132e-10, 6.9849e-10, -9.3132e-10], [ 7.6834e-09, 0.0000e+00, 2.3516e-08, ..., -3.2363e-08, 7.4506e-09, 9.3132e-10], [ 6.9849e-10, 0.0000e+00, -1.4203e-08, ..., 3.4925e-09, 1.0710e-08, 0.0000e+00], ..., [ 6.7521e-09, 0.0000e+00, -1.5134e-08, ..., 2.5146e-08, -2.7707e-08, 3.7253e-09], [ 6.9849e-09, 0.0000e+00, 5.1223e-09, ..., 2.7940e-09, 6.9849e-09, 1.3970e-09], [ 6.9849e-10, 0.0000e+00, 2.3283e-09, ..., 1.8626e-09, 2.5611e-09, -6.7521e-09]], device='cuda:0') Epoch 464, bias, value: tensor([-0.0367, -0.0302, 0.0088, 0.0298, -0.0183, 0.0068, -0.0170, 0.0160, 0.0095, -0.0064], device='cuda:0'), grad: tensor([ 6.5193e-09, -1.9092e-08, 0.0000e+00, 2.2817e-08, -4.1211e-08, -3.9348e-08, 2.4214e-08, 2.2585e-08, 4.5402e-08, -5.1223e-09], device='cuda:0') 100 1e-05 changing lr epoch 463, time 214.70, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4140 re_mapping 0.0020 re_causal 0.0078 /// teacc 99.22 lr 0.00001000 Epoch 465, weight, value: tensor([[-0.1526, 0.0568, 0.0976, ..., -0.1035, -0.1949, 0.0759], [-0.1326, -0.0661, -0.1531, ..., 0.2023, -0.1208, -0.1134], [-0.0817, 0.0155, 0.2522, ..., -0.1766, -0.1751, -0.2053], ..., [-0.2206, -0.0780, 0.0338, ..., -0.0686, 0.1332, -0.1196], [-0.1477, -0.1021, -0.0935, ..., -0.1831, -0.0189, -0.2283], [-0.2195, -0.0813, -0.1845, ..., -0.2326, -0.0638, 0.1613]], device='cuda:0'), grad: tensor([[ 6.9849e-10, -1.1642e-09, -1.1176e-08, ..., 2.3283e-10, 1.6298e-09, -1.1874e-08], [ 1.1642e-09, 0.0000e+00, 6.9849e-09, ..., -4.6566e-09, 4.8894e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, -2.5611e-09, ..., 4.6566e-10, 7.4506e-09, 6.9849e-10], ..., [-6.9849e-10, 0.0000e+00, -2.4680e-08, ..., 4.6566e-09, -2.7474e-08, 9.3132e-10], [ 9.3132e-10, 0.0000e+00, 2.7940e-09, ..., 1.3970e-09, 1.1642e-09, 6.9849e-10], [ 3.9581e-09, 6.9849e-10, 1.6065e-08, ..., 0.0000e+00, 5.5879e-09, 9.3132e-09]], device='cuda:0') Epoch 465, bias, value: tensor([-0.0367, -0.0302, 0.0088, 0.0298, -0.0183, 0.0069, -0.0170, 0.0160, 0.0095, -0.0064], device='cuda:0'), grad: tensor([-5.4948e-08, 1.9791e-08, 1.3970e-08, 2.4633e-07, 4.4238e-09, -2.4377e-07, 1.3271e-08, -5.6578e-08, -3.7253e-09, 8.7311e-08], device='cuda:0') 100 1e-05 changing lr epoch 464, time 214.35, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4222 re_mapping 0.0020 re_causal 0.0077 /// teacc 99.21 lr 0.00001000 Epoch 466, weight, value: tensor([[-0.1526, 0.0568, 0.0977, ..., -0.1036, -0.1949, 0.0759], [-0.1327, -0.0661, -0.1532, ..., 0.2023, -0.1208, -0.1135], [-0.0818, 0.0155, 0.2523, ..., -0.1767, -0.1752, -0.2053], ..., [-0.2208, -0.0780, 0.0339, ..., -0.0687, 0.1333, -0.1197], [-0.1478, -0.1021, -0.0936, ..., -0.1835, -0.0189, -0.2284], [-0.2197, -0.0813, -0.1848, ..., -0.2327, -0.0640, 0.1614]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 2.3283e-10, 2.3283e-10, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, 2.3283e-10, ..., -1.8626e-08, 0.0000e+00, 6.9849e-10], [ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 6.9849e-10, 0.0000e+00, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, 2.3283e-10, ..., 1.4668e-08, 0.0000e+00, 1.1176e-08], [ 0.0000e+00, 0.0000e+00, 6.9849e-10, ..., 1.3970e-09, 4.6566e-10, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 4.6566e-10, ..., 2.3283e-10, 2.3283e-10, -2.3050e-08]], device='cuda:0') Epoch 466, bias, value: tensor([-0.0367, -0.0302, 0.0088, 0.0298, -0.0182, 0.0069, -0.0170, 0.0160, 0.0095, -0.0065], device='cuda:0'), grad: tensor([ 7.2177e-09, -3.6787e-08, 5.1223e-09, -3.2596e-09, 3.6554e-08, -3.9348e-08, 7.4506e-09, 8.8708e-08, 1.6531e-08, -6.1700e-08], device='cuda:0') 100 1e-05 changing lr epoch 465, time 214.16, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4284 re_mapping 0.0020 re_causal 0.0079 /// teacc 99.17 lr 0.00001000 Epoch 467, weight, value: tensor([[-0.1527, 0.0568, 0.0979, ..., -0.1037, -0.1950, 0.0760], [-0.1328, -0.0661, -0.1533, ..., 0.2023, -0.1208, -0.1136], [-0.0818, 0.0155, 0.2524, ..., -0.1768, -0.1754, -0.2054], ..., [-0.2209, -0.0780, 0.0339, ..., -0.0687, 0.1333, -0.1199], [-0.1478, -0.1021, -0.0936, ..., -0.1838, -0.0189, -0.2286], [-0.2198, -0.0813, -0.1849, ..., -0.2328, -0.0641, 0.1614]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.8894e-09, ..., 2.3283e-10, 2.3283e-10, -8.6147e-09], [ 0.0000e+00, 0.0000e+00, 3.4925e-09, ..., -1.4203e-08, 5.8208e-09, 2.3283e-10], [ 0.0000e+00, 0.0000e+00, 1.1642e-09, ..., 6.9849e-10, 4.6566e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -1.0012e-08, ..., 1.0710e-08, -1.9092e-08, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 3.0268e-09, ..., 3.9581e-09, 3.4925e-09, 9.3132e-10], [ 2.3283e-10, 0.0000e+00, 2.3283e-09, ..., 6.9849e-10, 5.3551e-09, -2.3283e-10]], device='cuda:0') Epoch 467, bias, value: tensor([-0.0367, -0.0302, 0.0088, 0.0296, -0.0182, 0.0071, -0.0170, 0.0160, 0.0095, -0.0066], device='cuda:0'), grad: tensor([-2.0256e-08, -1.6997e-08, 1.1176e-08, 1.0710e-08, 5.8208e-09, 1.2806e-08, 2.5379e-08, 5.5879e-09, -3.8650e-08, 1.5600e-08], device='cuda:0') 100 1e-05 changing lr epoch 466, time 214.23, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4434 re_mapping 0.0019 re_causal 0.0078 /// teacc 99.21 lr 0.00001000 Epoch 468, weight, value: tensor([[-0.1528, 0.0569, 0.0980, ..., -0.1040, -0.1951, 0.0761], [-0.1328, -0.0661, -0.1534, ..., 0.2023, -0.1208, -0.1137], [-0.0818, 0.0155, 0.2525, ..., -0.1768, -0.1755, -0.2054], ..., [-0.2210, -0.0780, 0.0340, ..., -0.0687, 0.1333, -0.1202], [-0.1479, -0.1021, -0.0936, ..., -0.1841, -0.0190, -0.2287], [-0.2200, -0.0813, -0.1851, ..., -0.2328, -0.0643, 0.1614]], device='cuda:0'), grad: tensor([[ 2.3283e-10, 0.0000e+00, -3.9581e-09, ..., 2.3283e-10, 1.1642e-09, -8.6147e-09], [ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., -7.2177e-09, 7.4506e-09, 1.1642e-09], [ 0.0000e+00, 0.0000e+00, -4.6566e-09, ..., 4.6566e-10, 2.0955e-09, 2.3283e-10], ..., [ 2.7940e-09, 0.0000e+00, 4.6566e-10, ..., 6.2864e-09, -8.3819e-09, 1.1176e-08], [ 2.3283e-10, 0.0000e+00, 1.3970e-09, ..., 2.5611e-09, -1.2806e-08, 9.3132e-10], [ 3.4925e-09, 0.0000e+00, 3.9581e-09, ..., 2.3283e-10, 4.1910e-09, -8.8476e-09]], device='cuda:0') Epoch 468, bias, value: tensor([-0.0367, -0.0302, 0.0089, 0.0296, -0.0182, 0.0071, -0.0169, 0.0160, 0.0094, -0.0067], device='cuda:0'), grad: tensor([ 2.3283e-10, 3.3295e-08, 8.8476e-09, 1.0268e-07, 2.1886e-08, 3.1665e-08, 1.2573e-08, 1.0291e-07, -2.6822e-07, -2.1653e-08], device='cuda:0') 100 1e-05 changing lr epoch 467, time 214.09, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4311 re_mapping 0.0019 re_causal 0.0078 /// teacc 99.20 lr 0.00001000 Epoch 469, weight, value: tensor([[-0.1528, 0.0569, 0.0981, ..., -0.1042, -0.1951, 0.0761], [-0.1329, -0.0661, -0.1535, ..., 0.2023, -0.1209, -0.1138], [-0.0818, 0.0155, 0.2526, ..., -0.1768, -0.1756, -0.2054], ..., [-0.2211, -0.0780, 0.0340, ..., -0.0687, 0.1334, -0.1204], [-0.1479, -0.1021, -0.0936, ..., -0.1844, -0.0190, -0.2289], [-0.2201, -0.0814, -0.1853, ..., -0.2329, -0.0645, 0.1615]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 2.3283e-10, ..., 2.3283e-10, 1.3970e-09, -1.1642e-09], [ 4.6566e-10, 0.0000e+00, 2.3050e-08, ..., -3.2131e-08, 3.6787e-08, 2.3283e-10], [ 0.0000e+00, 0.0000e+00, -9.3132e-09, ..., 2.7940e-09, 1.6298e-09, 0.0000e+00], ..., [ 6.9849e-10, 0.0000e+00, -1.3504e-08, ..., 2.2119e-08, -3.4459e-08, 1.6298e-09], [ 0.0000e+00, 0.0000e+00, 2.5611e-09, ..., 1.1642e-09, 4.6566e-09, 1.8626e-09], [ 9.3132e-10, 0.0000e+00, 2.7940e-09, ..., 3.0268e-09, 4.8894e-09, -3.2596e-09]], device='cuda:0') Epoch 469, bias, value: tensor([-0.0367, -0.0302, 0.0089, 0.0295, -0.0182, 0.0071, -0.0168, 0.0160, 0.0094, -0.0067], device='cuda:0'), grad: tensor([ 3.7253e-09, 3.3062e-08, -7.9162e-09, -2.7707e-08, 1.4668e-08, -4.6566e-08, 1.2107e-08, -2.3283e-10, 2.1420e-08, 1.5832e-08], device='cuda:0') 100 1e-05 changing lr epoch 468, time 214.35, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4306 re_mapping 0.0020 re_causal 0.0080 /// teacc 99.18 lr 0.00001000 Epoch 470, weight, value: tensor([[-0.1529, 0.0569, 0.0983, ..., -0.1043, -0.1952, 0.0762], [-0.1329, -0.0661, -0.1536, ..., 0.2024, -0.1209, -0.1139], [-0.0819, 0.0155, 0.2527, ..., -0.1769, -0.1757, -0.2055], ..., [-0.2212, -0.0780, 0.0341, ..., -0.0687, 0.1334, -0.1207], [-0.1479, -0.1021, -0.0937, ..., -0.1847, -0.0190, -0.2290], [-0.2202, -0.0814, -0.1856, ..., -0.2330, -0.0646, 0.1615]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 9.3132e-10, 2.3283e-10, 7.2177e-09], [ 0.0000e+00, 0.0000e+00, 1.1642e-09, ..., -5.5879e-09, 4.6566e-10, 1.6298e-09], [ 0.0000e+00, 0.0000e+00, -2.2817e-08, ..., 6.9849e-10, 2.3283e-10, 4.6566e-10], ..., [ 0.0000e+00, 0.0000e+00, 1.9558e-08, ..., 5.3551e-09, 2.3283e-10, 1.8161e-08], [ 0.0000e+00, 0.0000e+00, -1.3970e-09, ..., 3.2596e-09, 1.3970e-09, 7.6834e-09], [ 0.0000e+00, 0.0000e+00, 6.9849e-10, ..., 2.3283e-10, 2.3283e-10, -5.2387e-08]], device='cuda:0') Epoch 470, bias, value: tensor([-0.0366, -0.0302, 0.0089, 0.0294, -0.0182, 0.0071, -0.0168, 0.0160, 0.0094, -0.0068], device='cuda:0'), grad: tensor([ 2.6077e-08, 1.6065e-08, -3.7253e-09, 5.0291e-08, 4.5635e-08, 4.7963e-08, -3.3528e-08, 1.1316e-07, -1.1409e-07, -1.2922e-07], device='cuda:0') 100 1e-05 changing lr epoch 469, time 214.44, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4433 re_mapping 0.0020 re_causal 0.0080 /// teacc 99.18 lr 0.00001000 Epoch 471, weight, value: tensor([[-0.1529, 0.0569, 0.0985, ..., -0.1045, -0.1953, 0.0763], [-0.1330, -0.0661, -0.1537, ..., 0.2024, -0.1209, -0.1139], [-0.0819, 0.0155, 0.2528, ..., -0.1770, -0.1758, -0.2056], ..., [-0.2213, -0.0780, 0.0342, ..., -0.0687, 0.1335, -0.1209], [-0.1480, -0.1021, -0.0937, ..., -0.1850, -0.0190, -0.2291], [-0.2203, -0.0814, -0.1858, ..., -0.2331, -0.0648, 0.1615]], device='cuda:0'), grad: tensor([[ 2.3283e-10, 0.0000e+00, -9.3132e-10, ..., 1.6298e-09, 2.3283e-10, 2.3283e-10], [ 1.1642e-09, 0.0000e+00, 1.6531e-08, ..., -2.7940e-09, 1.4901e-08, 2.5611e-09], [ 2.3283e-10, 0.0000e+00, 1.3504e-08, ..., 2.3283e-10, 1.1874e-08, 2.3283e-10], ..., [ 9.3132e-10, 0.0000e+00, -5.6112e-08, ..., 1.6298e-09, -5.1688e-08, 1.6065e-08], [ 1.1642e-09, 0.0000e+00, 1.0012e-08, ..., 3.7253e-09, 6.7521e-09, 5.1223e-09], [ 1.9558e-08, 0.0000e+00, 1.1409e-08, ..., 0.0000e+00, 1.1176e-08, -1.8859e-08]], device='cuda:0') Epoch 471, bias, value: tensor([-0.0366, -0.0302, 0.0089, 0.0294, -0.0182, 0.0071, -0.0167, 0.0160, 0.0094, -0.0069], device='cuda:0'), grad: tensor([ 1.0245e-08, 4.6799e-08, 3.7020e-08, 1.7462e-08, -2.0256e-08, 3.7253e-09, -3.7719e-08, -8.6613e-08, 4.0978e-08, -2.5611e-09], device='cuda:0') 100 1e-05 changing lr epoch 470, time 214.27, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4368 re_mapping 0.0020 re_causal 0.0079 /// teacc 99.17 lr 0.00001000 Epoch 472, weight, value: tensor([[-0.1531, 0.0569, 0.0986, ..., -0.1046, -0.1953, 0.0764], [-0.1331, -0.0661, -0.1538, ..., 0.2024, -0.1209, -0.1140], [-0.0819, 0.0155, 0.2528, ..., -0.1770, -0.1759, -0.2056], ..., [-0.2214, -0.0780, 0.0342, ..., -0.0687, 0.1335, -0.1211], [-0.1481, -0.1021, -0.0937, ..., -0.1852, -0.0190, -0.2292], [-0.2204, -0.0814, -0.1860, ..., -0.2331, -0.0650, 0.1616]], device='cuda:0'), grad: tensor([[ 2.3283e-10, 0.0000e+00, -1.8626e-09, ..., 3.4925e-09, 0.0000e+00, -1.3039e-08], [ 1.1642e-09, 0.0000e+00, 1.0943e-08, ..., -1.1642e-09, 4.8894e-09, 9.3132e-10], [ 2.3283e-10, 0.0000e+00, -9.0804e-09, ..., 1.8626e-09, 4.6566e-10, 2.3283e-10], ..., [ 1.1642e-09, 0.0000e+00, -2.0955e-09, ..., 3.0268e-09, -5.8208e-09, 2.8871e-08], [ 2.3283e-10, 0.0000e+00, 4.6566e-10, ..., 3.0268e-09, 4.6566e-10, 6.9849e-10], [ 7.6834e-09, 0.0000e+00, 2.3283e-09, ..., 4.6566e-10, 2.3283e-09, -3.4692e-08]], device='cuda:0') Epoch 472, bias, value: tensor([-0.0365, -0.0302, 0.0089, 0.0294, -0.0182, 0.0072, -0.0167, 0.0160, 0.0094, -0.0069], device='cuda:0'), grad: tensor([-9.7789e-09, 3.1199e-08, -5.3551e-09, 5.1223e-09, 5.3551e-09, 1.7462e-08, -4.0745e-08, 5.4948e-08, 1.2573e-08, -4.4471e-08], device='cuda:0') 100 1e-05 changing lr epoch 471, time 214.38, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4017 re_mapping 0.0019 re_causal 0.0075 /// teacc 99.17 lr 0.00001000 Epoch 473, weight, value: tensor([[-0.1532, 0.0569, 0.0987, ..., -0.1047, -0.1954, 0.0764], [-0.1332, -0.0661, -0.1539, ..., 0.2024, -0.1209, -0.1141], [-0.0819, 0.0155, 0.2529, ..., -0.1770, -0.1760, -0.2056], ..., [-0.2216, -0.0780, 0.0343, ..., -0.0687, 0.1335, -0.1214], [-0.1481, -0.1021, -0.0938, ..., -0.1853, -0.0190, -0.2293], [-0.2206, -0.0814, -0.1861, ..., -0.2332, -0.0652, 0.1617]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.9558e-08, ..., 1.3970e-09, -9.3132e-10, -3.4459e-08], [ 0.0000e+00, 0.0000e+00, 1.8626e-09, ..., -8.3819e-09, 4.6566e-10, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, -7.4506e-09, ..., 2.3283e-09, 2.3283e-10, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, 4.4238e-09, ..., 1.6298e-09, 2.3283e-10, 9.3132e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., 3.0268e-09, 2.3283e-10, 3.0268e-09], [ 0.0000e+00, 0.0000e+00, 1.2340e-08, ..., 0.0000e+00, 4.6566e-10, -2.5611e-09]], device='cuda:0') Epoch 473, bias, value: tensor([-0.0365, -0.0302, 0.0090, 0.0292, -0.0182, 0.0072, -0.0166, 0.0160, 0.0094, -0.0070], device='cuda:0'), grad: tensor([-7.7533e-08, -1.1409e-08, -8.6147e-09, 8.1491e-09, 2.2585e-08, 1.2806e-08, 2.3982e-08, 3.7486e-08, 1.3271e-08, -1.0245e-08], device='cuda:0') 100 1e-05 changing lr epoch 472, time 214.19, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4359 re_mapping 0.0020 re_causal 0.0078 /// teacc 99.19 lr 0.00001000 Epoch 474, weight, value: tensor([[-0.1533, 0.0569, 0.0989, ..., -0.1049, -0.1954, 0.0765], [-0.1334, -0.0661, -0.1540, ..., 0.2024, -0.1210, -0.1142], [-0.0820, 0.0155, 0.2531, ..., -0.1771, -0.1761, -0.2057], ..., [-0.2218, -0.0780, 0.0343, ..., -0.0687, 0.1336, -0.1216], [-0.1482, -0.1021, -0.0938, ..., -0.1856, -0.0190, -0.2294], [-0.2208, -0.0814, -0.1863, ..., -0.2333, -0.0654, 0.1617]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 2.3283e-10, ..., 9.3132e-10, 0.0000e+00, -6.9849e-10], [ 7.4506e-09, 0.0000e+00, 1.8626e-09, ..., -8.6147e-09, 3.4925e-09, 6.9849e-10], [ 0.0000e+00, 0.0000e+00, 7.6834e-09, ..., 6.9849e-10, 6.9849e-10, 0.0000e+00], ..., [ 2.7940e-09, 0.0000e+00, 1.2573e-08, ..., 6.2864e-09, -5.1223e-09, 9.0804e-09], [ 1.8626e-09, 0.0000e+00, -2.5611e-08, ..., 3.2596e-09, 4.6566e-10, 9.3132e-10], [ 9.0804e-09, 0.0000e+00, 1.3970e-09, ..., 4.6566e-10, 2.0955e-09, -1.8394e-08]], device='cuda:0') Epoch 474, bias, value: tensor([-0.0365, -0.0302, 0.0090, 0.0292, -0.0181, 0.0072, -0.0165, 0.0160, 0.0094, -0.0071], device='cuda:0'), grad: tensor([ 1.6298e-09, -2.3283e-10, 5.7509e-08, 1.5367e-08, -5.3551e-09, 6.5193e-09, 1.3970e-09, 1.0501e-07, -1.4110e-07, -2.3050e-08], device='cuda:0') 100 1e-05 changing lr epoch 473, time 214.17, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.3927 re_mapping 0.0020 re_causal 0.0075 /// teacc 99.20 lr 0.00001000 Epoch 475, weight, value: tensor([[-0.1534, 0.0569, 0.0990, ..., -0.1050, -0.1955, 0.0765], [-0.1334, -0.0661, -0.1542, ..., 0.2024, -0.1210, -0.1142], [-0.0820, 0.0155, 0.2532, ..., -0.1772, -0.1763, -0.2057], ..., [-0.2219, -0.0780, 0.0344, ..., -0.0687, 0.1337, -0.1219], [-0.1482, -0.1021, -0.0938, ..., -0.1858, -0.0190, -0.2296], [-0.2209, -0.0814, -0.1865, ..., -0.2333, -0.0656, 0.1618]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.1642e-09, ..., 4.6566e-10, 3.9581e-09, 3.9581e-09], [ 0.0000e+00, 0.0000e+00, 1.6298e-08, ..., -1.1642e-09, 3.4925e-08, 1.1642e-09], [ 0.0000e+00, 0.0000e+00, 1.1874e-08, ..., 2.3283e-10, 2.4447e-08, 2.3283e-10], ..., [ 2.3283e-10, 0.0000e+00, -9.6625e-08, ..., 6.9849e-10, -1.8859e-07, 9.3132e-09], [ 2.3283e-10, 0.0000e+00, 6.2864e-09, ..., 2.3283e-09, 1.4435e-08, 1.8626e-09], [ 2.5146e-08, 0.0000e+00, 5.0524e-08, ..., 0.0000e+00, 9.9884e-08, -2.0023e-08]], device='cuda:0') Epoch 475, bias, value: tensor([-0.0365, -0.0302, 0.0090, 0.0292, -0.0181, 0.0072, -0.0165, 0.0160, 0.0094, -0.0071], device='cuda:0'), grad: tensor([ 2.3749e-08, 1.0314e-07, 7.9628e-08, 7.5437e-08, -8.8476e-09, -8.3447e-07, 8.0001e-07, -5.4389e-07, 4.9593e-08, 2.6892e-07], device='cuda:0') 100 1e-05 changing lr epoch 474, time 214.75, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4387 re_mapping 0.0020 re_causal 0.0081 /// teacc 99.19 lr 0.00001000 Epoch 476, weight, value: tensor([[-0.1534, 0.0569, 0.0991, ..., -0.1053, -0.1956, 0.0766], [-0.1335, -0.0661, -0.1543, ..., 0.2024, -0.1211, -0.1143], [-0.0820, 0.0155, 0.2533, ..., -0.1772, -0.1765, -0.2057], ..., [-0.2220, -0.0780, 0.0345, ..., -0.0688, 0.1337, -0.1221], [-0.1483, -0.1021, -0.0939, ..., -0.1860, -0.0190, -0.2297], [-0.2212, -0.0814, -0.1867, ..., -0.2334, -0.0659, 0.1618]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -1.8626e-08, ..., 4.6566e-10, 2.3283e-10, -2.8871e-08], [ 5.5879e-09, 0.0000e+00, 1.1409e-08, ..., -3.0268e-09, 2.2119e-08, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 2.7940e-09, ..., 9.3132e-10, 5.1223e-09, 2.3283e-10], ..., [ 7.4506e-09, 0.0000e+00, -2.0256e-08, ..., 2.3283e-10, -4.1444e-08, 4.6566e-09], [ 6.9849e-10, 0.0000e+00, 5.8208e-09, ..., 2.7940e-09, 6.2864e-09, 4.4238e-09], [ 1.0105e-07, 0.0000e+00, 8.6147e-09, ..., 9.3132e-10, 5.5879e-09, 2.0955e-09]], device='cuda:0') Epoch 476, bias, value: tensor([-0.0365, -0.0303, 0.0091, 0.0292, -0.0180, 0.0072, -0.0165, 0.0161, 0.0093, -0.0073], device='cuda:0'), grad: tensor([-5.8208e-08, 5.7509e-08, 1.7229e-08, 3.9348e-08, -1.9604e-07, 2.9569e-08, 3.3295e-08, -6.4727e-08, -4.9360e-08, 2.0582e-07], device='cuda:0') 100 1e-05 changing lr epoch 475, time 214.52, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4228 re_mapping 0.0019 re_causal 0.0078 /// teacc 99.18 lr 0.00001000 Epoch 477, weight, value: tensor([[-0.1535, 0.0569, 0.0993, ..., -0.1055, -0.1956, 0.0767], [-0.1336, -0.0662, -0.1545, ..., 0.2024, -0.1211, -0.1144], [-0.0821, 0.0155, 0.2534, ..., -0.1773, -0.1766, -0.2058], ..., [-0.2221, -0.0780, 0.0346, ..., -0.0688, 0.1338, -0.1224], [-0.1483, -0.1021, -0.0940, ..., -0.1863, -0.0191, -0.2299], [-0.2214, -0.0814, -0.1870, ..., -0.2334, -0.0662, 0.1619]], device='cuda:0'), grad: tensor([[ 6.9849e-10, 0.0000e+00, -3.0268e-09, ..., 0.0000e+00, 4.6566e-10, -1.3970e-09], [ 1.6298e-09, 0.0000e+00, 6.7521e-09, ..., -7.6834e-09, 9.5461e-09, 2.0955e-09], [ 2.3283e-10, 0.0000e+00, -9.3132e-09, ..., 4.6566e-10, 6.0536e-09, 4.6566e-10], ..., [ 4.6566e-09, 0.0000e+00, -1.3970e-08, ..., 6.0536e-09, -2.4680e-08, 3.2363e-08], [ 2.3283e-10, 0.0000e+00, 8.3819e-09, ..., 1.1642e-09, 2.3283e-09, 2.7940e-09], [ 7.4506e-09, 0.0000e+00, 4.8894e-09, ..., 2.3283e-10, 6.5193e-09, -5.1688e-08]], device='cuda:0') Epoch 477, bias, value: tensor([-0.0365, -0.0303, 0.0091, 0.0290, -0.0179, 0.0074, -0.0164, 0.0161, 0.0093, -0.0074], device='cuda:0'), grad: tensor([-1.1642e-09, 1.5134e-08, -1.1874e-08, 2.3050e-08, 1.3970e-08, -1.2340e-08, 1.4203e-08, 5.5414e-08, 2.9104e-08, -1.1711e-07], device='cuda:0') 100 1e-05 changing lr epoch 476, time 214.25, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4266 re_mapping 0.0020 re_causal 0.0079 /// teacc 99.18 lr 0.00001000 Epoch 478, weight, value: tensor([[-0.1535, 0.0569, 0.0994, ..., -0.1056, -0.1957, 0.0768], [-0.1337, -0.0662, -0.1546, ..., 0.2024, -0.1211, -0.1144], [-0.0821, 0.0155, 0.2536, ..., -0.1773, -0.1767, -0.2058], ..., [-0.2222, -0.0780, 0.0347, ..., -0.0688, 0.1339, -0.1227], [-0.1484, -0.1021, -0.0940, ..., -0.1866, -0.0191, -0.2301], [-0.2216, -0.0814, -0.1871, ..., -0.2335, -0.0664, 0.1620]], device='cuda:0'), grad: tensor([[ 2.3283e-10, 0.0000e+00, -1.4668e-08, ..., -4.6566e-10, 4.6566e-10, -2.3749e-08], [ 1.1642e-09, 0.0000e+00, 2.0955e-09, ..., -5.2620e-08, 2.7940e-09, 1.1642e-09], [ 0.0000e+00, 0.0000e+00, 1.1642e-09, ..., 4.6566e-10, 1.6298e-09, 2.3283e-10], ..., [ 6.9849e-10, 0.0000e+00, -8.1491e-09, ..., 4.7265e-08, -9.7789e-09, 2.1420e-08], [ 2.3283e-10, 0.0000e+00, 2.0955e-09, ..., 3.9581e-09, 3.0268e-09, 2.7940e-09], [ 2.8638e-08, 0.0000e+00, 1.1642e-08, ..., 9.3132e-10, -2.3283e-09, -1.9791e-08]], device='cuda:0') Epoch 478, bias, value: tensor([-0.0365, -0.0303, 0.0092, 0.0290, -0.0179, 0.0074, -0.0164, 0.0161, 0.0093, -0.0075], device='cuda:0'), grad: tensor([-4.8429e-08, -1.3318e-07, 7.2177e-09, 1.3504e-08, -6.5193e-09, 1.7928e-08, 1.3504e-08, 2.0280e-07, 2.3749e-08, -8.1258e-08], device='cuda:0') 100 1e-05 changing lr epoch 477, time 214.38, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4171 re_mapping 0.0019 re_causal 0.0077 /// teacc 99.18 lr 0.00001000 Epoch 479, weight, value: tensor([[-0.1536, 0.0569, 0.0996, ..., -0.1058, -0.1958, 0.0769], [-0.1339, -0.0662, -0.1547, ..., 0.2025, -0.1212, -0.1145], [-0.0822, 0.0155, 0.2537, ..., -0.1774, -0.1769, -0.2058], ..., [-0.2223, -0.0780, 0.0348, ..., -0.0688, 0.1339, -0.1230], [-0.1485, -0.1021, -0.0940, ..., -0.1868, -0.0191, -0.2302], [-0.2220, -0.0814, -0.1874, ..., -0.2336, -0.0667, 0.1620]], device='cuda:0'), grad: tensor([[ 2.3283e-10, 0.0000e+00, -4.6566e-10, ..., 2.3283e-10, 0.0000e+00, -3.7253e-09], [ 6.2864e-09, 0.0000e+00, -9.3132e-10, ..., -2.3912e-07, -2.4680e-08, 0.0000e+00], [ 2.3283e-10, 0.0000e+00, 2.3283e-10, ..., 9.3132e-10, 4.6566e-10, 0.0000e+00], ..., [ 1.0012e-08, 0.0000e+00, 0.0000e+00, ..., 2.3679e-07, 2.2585e-08, 2.3283e-10], [ 4.6566e-10, 0.0000e+00, 2.3283e-10, ..., 1.8626e-09, 6.9849e-10, 0.0000e+00], [ 1.3970e-08, 0.0000e+00, 1.1642e-09, ..., 1.1642e-09, 6.9849e-10, 2.3283e-09]], device='cuda:0') Epoch 479, bias, value: tensor([-0.0365, -0.0303, 0.0092, 0.0289, -0.0177, 0.0074, -0.0163, 0.0161, 0.0092, -0.0076], device='cuda:0'), grad: tensor([-3.0268e-09, -5.3365e-07, 8.6147e-09, 3.2131e-08, -4.3772e-08, 1.4226e-07, -9.1735e-08, 5.6811e-07, -1.0151e-07, 3.1665e-08], device='cuda:0') 100 1e-05 changing lr epoch 478, time 214.33, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4075 re_mapping 0.0019 re_causal 0.0077 /// teacc 99.16 lr 0.00001000 Epoch 480, weight, value: tensor([[-0.1536, 0.0569, 0.0999, ..., -0.1058, -0.1958, 0.0770], [-0.1340, -0.0662, -0.1548, ..., 0.2025, -0.1212, -0.1146], [-0.0822, 0.0155, 0.2539, ..., -0.1775, -0.1770, -0.2059], ..., [-0.2225, -0.0780, 0.0348, ..., -0.0688, 0.1340, -0.1232], [-0.1485, -0.1021, -0.0941, ..., -0.1870, -0.0191, -0.2303], [-0.2222, -0.0814, -0.1877, ..., -0.2337, -0.0668, 0.1621]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.7229e-08, ..., 1.6298e-09, 6.9849e-10, -2.4447e-08], [ 0.0000e+00, 0.0000e+00, 1.6065e-08, ..., -1.8859e-08, 3.0966e-08, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., 4.6566e-10, 2.3283e-09, 2.3283e-10], ..., [ 0.0000e+00, 0.0000e+00, -2.2817e-08, ..., 1.5600e-08, -5.5879e-08, 6.7521e-09], [ 0.0000e+00, 0.0000e+00, 1.6298e-09, ..., 3.2596e-09, 2.7940e-09, 8.1491e-09], [ 4.6566e-10, 0.0000e+00, 1.4668e-08, ..., 4.6566e-10, 1.4203e-08, -2.3283e-09]], device='cuda:0') Epoch 480, bias, value: tensor([-0.0364, -0.0303, 0.0093, 0.0290, -0.0176, 0.0074, -0.0163, 0.0161, 0.0092, -0.0078], device='cuda:0'), grad: tensor([-4.7497e-08, 5.8440e-08, 8.3819e-09, 2.3283e-08, 2.9802e-08, -8.7544e-08, 6.3097e-08, -9.3598e-08, 5.0291e-08, -7.4506e-09], device='cuda:0') 100 1e-05 changing lr epoch 479, time 214.43, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4120 re_mapping 0.0020 re_causal 0.0076 /// teacc 99.17 lr 0.00001000 Epoch 481, weight, value: tensor([[-0.1537, 0.0569, 0.1001, ..., -0.1059, -0.1959, 0.0772], [-0.1340, -0.0662, -0.1550, ..., 0.2025, -0.1212, -0.1147], [-0.0822, 0.0155, 0.2541, ..., -0.1776, -0.1772, -0.2059], ..., [-0.2226, -0.0780, 0.0348, ..., -0.0688, 0.1340, -0.1235], [-0.1485, -0.1021, -0.0942, ..., -0.1872, -0.0191, -0.2305], [-0.2224, -0.0814, -0.1881, ..., -0.2338, -0.0671, 0.1621]], device='cuda:0'), grad: tensor([[ 2.7940e-09, -2.5611e-09, 0.0000e+00, ..., 4.6566e-10, 3.9581e-09, -4.1910e-09], [ 8.3819e-09, 1.3970e-09, 0.0000e+00, ..., -2.4424e-07, 6.9849e-10, 6.0536e-09], [ 8.3819e-09, 0.0000e+00, 0.0000e+00, ..., 6.9849e-10, 2.3283e-10, 2.3283e-10], ..., [ 1.8626e-09, 0.0000e+00, 2.3283e-10, ..., 2.2491e-07, 2.3283e-09, 3.9581e-09], [ 6.9849e-10, 0.0000e+00, 0.0000e+00, ..., 2.5611e-09, 1.1642e-09, 1.1642e-09], [ 6.1002e-08, 6.9849e-10, 0.0000e+00, ..., 6.2864e-09, 1.6298e-09, -1.6764e-08]], device='cuda:0') Epoch 481, bias, value: tensor([-0.0362, -0.0303, 0.0095, 0.0289, -0.0176, 0.0074, -0.0164, 0.0161, 0.0092, -0.0080], device='cuda:0'), grad: tensor([ 3.4925e-09, -9.6392e-07, 2.1653e-08, 5.7044e-08, -9.5228e-08, -1.1339e-07, 6.8452e-08, 9.6858e-07, -4.2608e-08, 9.1968e-08], device='cuda:0') 100 1e-05 changing lr epoch 480, time 214.21, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4119 re_mapping 0.0019 re_causal 0.0076 /// teacc 99.16 lr 0.00001000 Epoch 482, weight, value: tensor([[-0.1538, 0.0569, 0.1006, ..., -0.1060, -0.1959, 0.0775], [-0.1341, -0.0662, -0.1551, ..., 0.2025, -0.1213, -0.1148], [-0.0823, 0.0155, 0.2542, ..., -0.1776, -0.1773, -0.2060], ..., [-0.2228, -0.0780, 0.0349, ..., -0.0688, 0.1341, -0.1238], [-0.1486, -0.1021, -0.0942, ..., -0.1875, -0.0191, -0.2306], [-0.2226, -0.0814, -0.1884, ..., -0.2339, -0.0673, 0.1620]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 1.8626e-09, 0.0000e+00, 4.6566e-10], [ 9.3132e-10, 0.0000e+00, 9.7789e-09, ..., -1.9558e-08, 1.0245e-08, 3.7253e-09], [ 0.0000e+00, 0.0000e+00, 1.5367e-08, ..., 4.6566e-10, 1.4435e-08, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -3.2131e-08, ..., 3.7253e-09, -3.1199e-08, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, 4.1910e-09, ..., 3.7253e-09, 4.1910e-09, 0.0000e+00], [ 2.3283e-09, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 4.1910e-09, -5.5879e-09]], device='cuda:0') Epoch 482, bias, value: tensor([-0.0359, -0.0303, 0.0095, 0.0289, -0.0175, 0.0075, -0.0164, 0.0161, 0.0092, -0.0082], device='cuda:0'), grad: tensor([ 5.5879e-09, 6.5658e-08, 5.3551e-08, 6.9849e-09, 5.5879e-09, 3.7253e-09, 3.1199e-08, -8.3819e-08, -6.8452e-08, 4.6566e-09], device='cuda:0') 100 1e-05 changing lr epoch 481, time 214.33, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4424 re_mapping 0.0019 re_causal 0.0081 /// teacc 99.20 lr 0.00001000 Epoch 483, weight, value: tensor([[-0.1538, 0.0569, 0.1008, ..., -0.1061, -0.1961, 0.0776], [-0.1342, -0.0662, -0.1553, ..., 0.2025, -0.1213, -0.1150], [-0.0823, 0.0155, 0.2543, ..., -0.1777, -0.1774, -0.2060], ..., [-0.2230, -0.0780, 0.0349, ..., -0.0688, 0.1342, -0.1240], [-0.1486, -0.1021, -0.0942, ..., -0.1876, -0.0191, -0.2309], [-0.2229, -0.0814, -0.1887, ..., -0.2339, -0.0676, 0.1621]], device='cuda:0'), grad: tensor([[-1.8626e-09, -4.6566e-09, -1.3039e-08, ..., 4.6566e-10, 9.3132e-10, -1.8161e-08], [ 1.8626e-09, 0.0000e+00, 1.4435e-08, ..., 0.0000e+00, 2.6543e-08, 0.0000e+00], [ 4.6566e-10, 0.0000e+00, 3.2596e-09, ..., 0.0000e+00, 5.1223e-09, 0.0000e+00], ..., [-6.9849e-09, 0.0000e+00, -1.3411e-07, ..., 9.3132e-10, -2.2445e-07, 4.6566e-10], [ 1.3970e-09, 9.3132e-10, 9.3132e-09, ..., 1.8626e-09, 1.2573e-08, 2.7940e-09], [-8.8476e-09, 1.3970e-09, 1.0477e-07, ..., 0.0000e+00, 1.5972e-07, -1.6764e-08]], device='cuda:0') Epoch 483, bias, value: tensor([-0.0359, -0.0303, 0.0095, 0.0288, -0.0174, 0.0076, -0.0164, 0.0161, 0.0092, -0.0083], device='cuda:0'), grad: tensor([-5.0757e-08, 8.3819e-08, 1.8161e-08, 1.9558e-08, 1.2061e-07, 1.6764e-08, 1.8626e-09, -5.4296e-07, 4.7497e-08, 2.9011e-07], device='cuda:0') 100 1e-05 changing lr epoch 482, time 214.52, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4079 re_mapping 0.0019 re_causal 0.0075 /// teacc 99.19 lr 0.00001000 Epoch 484, weight, value: tensor([[-0.1538, 0.0569, 0.1011, ..., -0.1063, -0.1962, 0.0778], [-0.1343, -0.0662, -0.1555, ..., 0.2026, -0.1214, -0.1150], [-0.0823, 0.0155, 0.2545, ..., -0.1778, -0.1776, -0.2060], ..., [-0.2231, -0.0780, 0.0351, ..., -0.0688, 0.1343, -0.1243], [-0.1487, -0.1021, -0.0943, ..., -0.1878, -0.0192, -0.2310], [-0.2231, -0.0814, -0.1890, ..., -0.2340, -0.0678, 0.1622]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -2.3283e-09, ..., 4.6566e-10, 9.3132e-10, -2.3283e-09], [ 1.3970e-09, 0.0000e+00, 2.1886e-08, ..., -6.0536e-09, 3.5856e-08, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 6.0536e-09, ..., 4.6566e-10, 9.3132e-09, 0.0000e+00], ..., [ 4.6566e-09, 0.0000e+00, -5.1223e-08, ..., 4.1910e-09, -8.3353e-08, 5.1223e-09], [ 9.3132e-10, 0.0000e+00, 3.2596e-09, ..., 1.8626e-09, 5.5879e-09, 3.7253e-09], [ 6.5193e-09, 0.0000e+00, 1.4901e-08, ..., 0.0000e+00, 2.2817e-08, -4.1910e-08]], device='cuda:0') Epoch 484, bias, value: tensor([-0.0358, -0.0303, 0.0095, 0.0287, -0.0174, 0.0078, -0.0165, 0.0161, 0.0092, -0.0084], device='cuda:0'), grad: tensor([ 9.3132e-10, 1.3364e-07, 3.8184e-08, 6.3330e-08, -3.7253e-09, 1.5832e-08, 4.6566e-09, -2.8498e-07, 2.2352e-08, 1.5832e-08], device='cuda:0') 100 1e-05 changing lr epoch 483, time 214.61, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4204 re_mapping 0.0019 re_causal 0.0078 /// teacc 99.18 lr 0.00001000 Epoch 485, weight, value: tensor([[-0.1539, 0.0569, 0.1013, ..., -0.1064, -0.1963, 0.0780], [-0.1344, -0.0662, -0.1557, ..., 0.2026, -0.1214, -0.1151], [-0.0824, 0.0155, 0.2545, ..., -0.1778, -0.1778, -0.2061], ..., [-0.2233, -0.0780, 0.0352, ..., -0.0689, 0.1343, -0.1245], [-0.1487, -0.1021, -0.0943, ..., -0.1880, -0.0192, -0.2312], [-0.2234, -0.0814, -0.1893, ..., -0.2340, -0.0680, 0.1622]], device='cuda:0'), grad: tensor([[ 3.2596e-09, 0.0000e+00, 9.3132e-10, ..., 6.9849e-09, 1.8626e-09, 1.8626e-09], [ 6.2864e-08, 0.0000e+00, 5.3551e-08, ..., -2.9337e-08, 1.0617e-07, 0.0000e+00], [ 3.7253e-09, 0.0000e+00, 1.3970e-08, ..., 2.7940e-09, 2.2817e-08, 0.0000e+00], ..., [ 5.5879e-08, 0.0000e+00, -1.4342e-07, ..., 1.5367e-08, -2.5425e-07, 0.0000e+00], [ 3.6322e-08, 0.0000e+00, 6.1933e-08, ..., 2.0955e-08, 1.0105e-07, 1.3970e-09], [ 1.1502e-07, 0.0000e+00, 7.4506e-09, ..., 4.6566e-10, 1.2573e-08, 0.0000e+00]], device='cuda:0') Epoch 485, bias, value: tensor([-0.0357, -0.0303, 0.0094, 0.0287, -0.0173, 0.0079, -0.0165, 0.0161, 0.0091, -0.0086], device='cuda:0'), grad: tensor([ 3.4459e-08, 3.4412e-07, 9.5461e-08, 5.5879e-08, -4.4517e-07, -4.0513e-08, -5.7742e-08, -7.2457e-07, 4.9081e-07, 2.5565e-07], device='cuda:0') 100 1e-05 changing lr epoch 484, time 214.59, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4155 re_mapping 0.0019 re_causal 0.0077 /// teacc 99.18 lr 0.00001000 Epoch 486, weight, value: tensor([[-0.1539, 0.0569, 0.1015, ..., -0.1065, -0.1964, 0.0781], [-0.1344, -0.0662, -0.1559, ..., 0.2026, -0.1215, -0.1152], [-0.0824, 0.0155, 0.2546, ..., -0.1780, -0.1780, -0.2061], ..., [-0.2233, -0.0780, 0.0354, ..., -0.0689, 0.1344, -0.1247], [-0.1488, -0.1021, -0.0944, ..., -0.1883, -0.0192, -0.2314], [-0.2236, -0.0814, -0.1896, ..., -0.2341, -0.0683, 0.1623]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 1.8626e-09, 4.6566e-10, 4.6566e-10], [ 4.6566e-10, 0.0000e+00, 5.5879e-09, ..., -7.5437e-08, 1.0245e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -3.2596e-09, ..., 3.1199e-08, 4.6566e-10, 0.0000e+00], ..., [ 1.3970e-09, 0.0000e+00, -4.6566e-09, ..., 2.7008e-08, -2.2352e-08, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, -6.5193e-09, ..., 6.0536e-09, -3.2596e-09, 4.6566e-10], [ 2.3283e-09, 0.0000e+00, 5.1223e-09, ..., 1.3970e-09, 6.9849e-09, -2.3283e-09]], device='cuda:0') Epoch 486, bias, value: tensor([-0.0356, -0.0303, 0.0094, 0.0287, -0.0173, 0.0079, -0.0165, 0.0161, 0.0091, -0.0087], device='cuda:0'), grad: tensor([ 8.8476e-09, -2.0443e-07, 7.0781e-08, 2.1886e-08, 2.0489e-08, 3.2596e-09, -1.3970e-09, 7.3574e-08, 6.0536e-09, 1.8626e-08], device='cuda:0') 100 1e-05 changing lr epoch 485, time 214.96, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4219 re_mapping 0.0019 re_causal 0.0078 /// teacc 99.20 lr 0.00001000 Epoch 487, weight, value: tensor([[-0.1541, 0.0569, 0.1017, ..., -0.1067, -0.1965, 0.0782], [-0.1346, -0.0662, -0.1561, ..., 0.2027, -0.1215, -0.1153], [-0.0825, 0.0155, 0.2547, ..., -0.1781, -0.1781, -0.2061], ..., [-0.2236, -0.0780, 0.0355, ..., -0.0689, 0.1345, -0.1250], [-0.1489, -0.1021, -0.0944, ..., -0.1885, -0.0192, -0.2315], [-0.2239, -0.0814, -0.1898, ..., -0.2342, -0.0685, 0.1624]], device='cuda:0'), grad: tensor([[ 4.6566e-10, 0.0000e+00, -2.7940e-09, ..., 4.6566e-09, 2.3283e-09, -1.8626e-09], [ 0.0000e+00, 0.0000e+00, 1.3970e-09, ..., -1.2107e-08, 3.2596e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.3970e-09, 1.8626e-09, 0.0000e+00], ..., [ 9.3132e-10, 0.0000e+00, -2.7940e-09, ..., 7.4506e-09, -4.1910e-09, 5.5879e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 2.8405e-08, 2.7940e-09, 5.1223e-09], [ 1.8626e-09, 0.0000e+00, 2.7940e-09, ..., 4.6566e-10, 1.3970e-09, -4.6566e-09]], device='cuda:0') Epoch 487, bias, value: tensor([-0.0356, -0.0303, 0.0093, 0.0287, -0.0171, 0.0078, -0.0164, 0.0161, 0.0091, -0.0089], device='cuda:0'), grad: tensor([ 1.6764e-08, -1.7229e-08, 7.4506e-09, 1.6298e-08, 2.7940e-09, 2.9569e-07, -4.4843e-07, 2.1420e-08, 1.1083e-07, -4.6566e-10], device='cuda:0') 100 1e-05 changing lr epoch 486, time 214.48, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4218 re_mapping 0.0019 re_causal 0.0078 /// teacc 99.18 lr 0.00001000 Epoch 488, weight, value: tensor([[-0.1542, 0.0569, 0.1018, ..., -0.1068, -0.1965, 0.0783], [-0.1348, -0.0662, -0.1562, ..., 0.2027, -0.1216, -0.1154], [-0.0825, 0.0155, 0.2548, ..., -0.1782, -0.1782, -0.2062], ..., [-0.2237, -0.0780, 0.0356, ..., -0.0689, 0.1346, -0.1252], [-0.1490, -0.1021, -0.0945, ..., -0.1888, -0.0192, -0.2317], [-0.2241, -0.0814, -0.1900, ..., -0.2343, -0.0688, 0.1625]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.8429e-08, ..., -2.3283e-09, 4.6566e-10, -1.5367e-07], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., -5.5879e-09, 4.6566e-10, 4.6566e-09], [ 0.0000e+00, 0.0000e+00, -1.0291e-07, ..., 4.6566e-10, -3.2596e-09, 9.3132e-10], ..., [ 0.0000e+00, 0.0000e+00, 8.8010e-08, ..., 5.5879e-09, 3.7253e-09, 4.6566e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-09, ..., 3.2596e-09, 9.3132e-10, 6.5193e-09], [ 0.0000e+00, 0.0000e+00, 3.3993e-08, ..., 1.8626e-09, -4.6566e-10, 9.3132e-08]], device='cuda:0') Epoch 488, bias, value: tensor([-0.0356, -0.0303, 0.0093, 0.0286, -0.0171, 0.0079, -0.0164, 0.0161, 0.0090, -0.0090], device='cuda:0'), grad: tensor([-3.9209e-07, 9.3132e-09, -2.1840e-07, 2.7940e-08, 1.1176e-08, 1.2107e-08, 5.4017e-08, 2.1094e-07, 4.3772e-08, 2.4773e-07], device='cuda:0') 100 1e-05 changing lr epoch 487, time 214.45, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4111 re_mapping 0.0019 re_causal 0.0076 /// teacc 99.20 lr 0.00001000 Epoch 489, weight, value: tensor([[-0.1543, 0.0569, 0.1019, ..., -0.1070, -0.1966, 0.0784], [-0.1349, -0.0662, -0.1564, ..., 0.2027, -0.1216, -0.1154], [-0.0826, 0.0155, 0.2549, ..., -0.1782, -0.1784, -0.2062], ..., [-0.2238, -0.0780, 0.0357, ..., -0.0690, 0.1347, -0.1255], [-0.1490, -0.1021, -0.0946, ..., -0.1890, -0.0193, -0.2318], [-0.2243, -0.0814, -0.1903, ..., -0.2344, -0.0691, 0.1626]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.0245e-08, ..., 4.6566e-10, 4.6566e-10, -9.3132e-09], [ 4.6566e-10, 0.0000e+00, 1.1176e-08, ..., -2.3749e-08, 9.7789e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 1.0245e-08, ..., 4.6566e-09, 9.7789e-09, 9.3132e-10], ..., [ 4.1910e-09, 0.0000e+00, -3.3062e-08, ..., 1.4901e-08, -3.0734e-08, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 7.9162e-09, ..., 4.1910e-09, 5.5879e-09, 1.3970e-09], [ 9.3132e-10, 0.0000e+00, 8.8476e-09, ..., 0.0000e+00, 4.6566e-09, 5.5879e-09]], device='cuda:0') Epoch 489, bias, value: tensor([-0.0356, -0.0303, 0.0093, 0.0286, -0.0171, 0.0079, -0.0163, 0.0161, 0.0090, -0.0091], device='cuda:0'), grad: tensor([-2.7008e-08, -3.1665e-08, 3.9116e-08, 5.6811e-08, -9.3132e-10, -5.6345e-08, 1.1642e-08, -3.6322e-08, 2.7940e-08, 2.7940e-08], device='cuda:0') 100 1e-05 changing lr epoch 488, time 214.55, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4249 re_mapping 0.0019 re_causal 0.0076 /// teacc 99.18 lr 0.00001000 Epoch 490, weight, value: tensor([[-0.1543, 0.0569, 0.1021, ..., -0.1072, -0.1967, 0.0785], [-0.1350, -0.0662, -0.1565, ..., 0.2027, -0.1217, -0.1156], [-0.0826, 0.0155, 0.2549, ..., -0.1783, -0.1786, -0.2063], ..., [-0.2239, -0.0780, 0.0359, ..., -0.0690, 0.1348, -0.1258], [-0.1490, -0.1021, -0.0946, ..., -0.1894, -0.0193, -0.2320], [-0.2245, -0.0814, -0.1905, ..., -0.2344, -0.0693, 0.1628]], device='cuda:0'), grad: tensor([[ 4.1910e-09, 0.0000e+00, -4.1910e-09, ..., 4.6566e-09, 0.0000e+00, -9.3132e-10], [ 1.3970e-09, 0.0000e+00, 9.3132e-10, ..., -2.0862e-07, 2.3283e-09, 4.6566e-10], [ 3.7253e-09, 0.0000e+00, 4.6566e-10, ..., 5.1223e-09, 4.6566e-10, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, -1.3970e-09, ..., 1.6764e-07, -2.7940e-09, 1.8626e-09], [ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 1.2573e-08, 9.3132e-10, 1.3970e-09], [ 4.6566e-09, 0.0000e+00, 3.7253e-09, ..., 8.3819e-09, 1.3970e-09, -3.2596e-09]], device='cuda:0') Epoch 490, bias, value: tensor([-0.0355, -0.0303, 0.0092, 0.0286, -0.0171, 0.0079, -0.0162, 0.0161, 0.0090, -0.0092], device='cuda:0'), grad: tensor([ 3.7719e-08, -8.6473e-07, 2.0023e-08, -7.9162e-09, 2.9802e-08, 3.4459e-08, -3.8184e-08, 7.1526e-07, 5.0757e-08, 3.0734e-08], device='cuda:0') 100 1e-05 changing lr epoch 489, time 214.42, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4155 re_mapping 0.0020 re_causal 0.0076 /// teacc 99.17 lr 0.00001000 Epoch 491, weight, value: tensor([[-0.1544, 0.0569, 0.1023, ..., -0.1073, -0.1968, 0.0786], [-0.1351, -0.0662, -0.1567, ..., 0.2028, -0.1218, -0.1157], [-0.0826, 0.0155, 0.2550, ..., -0.1784, -0.1787, -0.2064], ..., [-0.2240, -0.0780, 0.0360, ..., -0.0690, 0.1349, -0.1260], [-0.1491, -0.1021, -0.0947, ..., -0.1896, -0.0193, -0.2322], [-0.2248, -0.0814, -0.1906, ..., -0.2345, -0.0695, 0.1629]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 4.6566e-10, 0.0000e+00, 4.6566e-10], [ 9.3132e-10, 0.0000e+00, 1.3970e-09, ..., 0.0000e+00, 0.0000e+00, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, -1.0710e-08, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], ..., [ 1.3970e-09, 0.0000e+00, 9.3132e-10, ..., 0.0000e+00, 0.0000e+00, 6.0536e-09], [ 4.6566e-10, 0.0000e+00, 1.3970e-09, ..., 4.6566e-10, 0.0000e+00, 0.0000e+00], [ 4.6566e-09, 0.0000e+00, 4.6566e-10, ..., 0.0000e+00, 0.0000e+00, -9.3132e-09]], device='cuda:0') Epoch 491, bias, value: tensor([-0.0355, -0.0303, 0.0091, 0.0285, -0.0171, 0.0080, -0.0162, 0.0161, 0.0090, -0.0092], device='cuda:0'), grad: tensor([ 3.7253e-09, 6.5193e-09, -1.7695e-08, -1.8626e-08, -1.8626e-09, 6.5193e-09, 3.2596e-09, 3.6787e-08, 9.3132e-09, -2.3749e-08], device='cuda:0') 100 1e-05 changing lr epoch 490, time 214.52, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4319 re_mapping 0.0019 re_causal 0.0077 /// teacc 99.21 lr 0.00001000 Epoch 492, weight, value: tensor([[-0.1545, 0.0569, 0.1023, ..., -0.1075, -0.1968, 0.0786], [-0.1352, -0.0662, -0.1569, ..., 0.2028, -0.1218, -0.1158], [-0.0827, 0.0155, 0.2553, ..., -0.1786, -0.1789, -0.2064], ..., [-0.2242, -0.0780, 0.0361, ..., -0.0691, 0.1350, -0.1264], [-0.1491, -0.1021, -0.0948, ..., -0.1898, -0.0193, -0.2324], [-0.2250, -0.0814, -0.1908, ..., -0.2345, -0.0696, 0.1632]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 1.7229e-08, ..., 4.6566e-10, 0.0000e+00, 0.0000e+00], [ 4.1910e-09, 0.0000e+00, 1.8626e-09, ..., -2.7008e-08, 1.8626e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, -2.6450e-07, ..., 9.3132e-10, 4.6566e-10, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, 4.6566e-10, ..., 1.9092e-08, -4.6566e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 2.3190e-07, ..., 2.3283e-09, 1.3970e-09, 4.6566e-10], [ 1.3039e-08, 0.0000e+00, 4.1910e-09, ..., 0.0000e+00, 1.3970e-09, 4.6566e-10]], device='cuda:0') Epoch 492, bias, value: tensor([-0.0356, -0.0303, 0.0093, 0.0284, -0.0171, 0.0080, -0.0161, 0.0161, 0.0089, -0.0092], device='cuda:0'), grad: tensor([ 4.0513e-08, -9.8720e-08, -4.3120e-07, 2.1420e-08, 4.1910e-09, 1.3504e-08, 3.9581e-08, 1.1455e-07, 2.3376e-07, 7.1712e-08], device='cuda:0') 100 1e-05 changing lr epoch 491, time 214.38, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4171 re_mapping 0.0019 re_causal 0.0076 /// teacc 99.23 lr 0.00001000 Epoch 493, weight, value: tensor([[-0.1545, 0.0569, 0.1023, ..., -0.1077, -0.1970, 0.0787], [-0.1353, -0.0662, -0.1572, ..., 0.2029, -0.1219, -0.1159], [-0.0827, 0.0155, 0.2554, ..., -0.1788, -0.1790, -0.2064], ..., [-0.2242, -0.0780, 0.0363, ..., -0.0691, 0.1352, -0.1266], [-0.1492, -0.1021, -0.0949, ..., -0.1902, -0.0193, -0.2325], [-0.2251, -0.0814, -0.1912, ..., -0.2346, -0.0701, 0.1633]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 0.0000e+00, ..., 0.0000e+00, 0.0000e+00, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 9.3132e-09, ..., -2.0489e-08, 1.3504e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 6.5193e-09, ..., 0.0000e+00, 8.8476e-09, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -4.5635e-08, ..., 2.0023e-08, -6.6590e-08, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, 9.7789e-09, ..., 4.6566e-10, 1.3970e-08, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 1.3504e-08, ..., 0.0000e+00, 1.8626e-08, -3.2596e-09]], device='cuda:0') Epoch 493, bias, value: tensor([-0.0357, -0.0303, 0.0093, 0.0284, -0.0171, 0.0080, -0.0160, 0.0161, 0.0089, -0.0094], device='cuda:0'), grad: tensor([ 9.3132e-10, -6.0536e-09, 2.3283e-08, 1.0245e-08, 2.0023e-08, 2.7940e-09, 1.8626e-09, -1.2992e-07, 3.8184e-08, 4.0047e-08], device='cuda:0') 100 1e-05 changing lr epoch 492, time 214.53, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4412 re_mapping 0.0019 re_causal 0.0079 /// teacc 99.20 lr 0.00001000 Epoch 494, weight, value: tensor([[-0.1546, 0.0569, 0.1024, ..., -0.1079, -0.1970, 0.0787], [-0.1353, -0.0662, -0.1575, ..., 0.2029, -0.1220, -0.1160], [-0.0827, 0.0155, 0.2555, ..., -0.1789, -0.1792, -0.2065], ..., [-0.2243, -0.0780, 0.0365, ..., -0.0691, 0.1353, -0.1268], [-0.1493, -0.1021, -0.0949, ..., -0.1906, -0.0194, -0.2327], [-0.2253, -0.0814, -0.1914, ..., -0.2347, -0.0703, 0.1635]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -4.1910e-09, ..., 0.0000e+00, 4.6566e-10, -4.1910e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., -1.3970e-09, 2.3283e-09, 0.0000e+00], [ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 0.0000e+00, 4.6566e-10, 0.0000e+00], ..., [ 4.6566e-10, 0.0000e+00, -9.3132e-10, ..., 1.3970e-09, -3.7253e-09, 2.3283e-09], [ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 4.6566e-10, 1.3970e-09, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 1.8626e-09, -0.0000e+00]], device='cuda:0') Epoch 494, bias, value: tensor([-0.0358, -0.0303, 0.0092, 0.0284, -0.0172, 0.0080, -0.0158, 0.0162, 0.0088, -0.0094], device='cuda:0'), grad: tensor([-8.8476e-09, 1.3970e-09, 1.8626e-09, 6.0536e-09, 3.7253e-09, -9.7789e-09, 3.2596e-09, 2.7940e-09, 2.3283e-09, 2.7940e-09], device='cuda:0') 100 1e-05 changing lr epoch 493, time 214.39, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4086 re_mapping 0.0019 re_causal 0.0072 /// teacc 99.19 lr 0.00001000 Epoch 495, weight, value: tensor([[-0.1547, 0.0569, 0.1026, ..., -0.1081, -0.1970, 0.0788], [-0.1353, -0.0662, -0.1578, ..., 0.2030, -0.1221, -0.1160], [-0.0828, 0.0155, 0.2556, ..., -0.1792, -0.1794, -0.2065], ..., [-0.2244, -0.0780, 0.0367, ..., -0.0692, 0.1355, -0.1270], [-0.1493, -0.1021, -0.0950, ..., -0.1909, -0.0194, -0.2329], [-0.2255, -0.0814, -0.1916, ..., -0.2347, -0.0705, 0.1637]], device='cuda:0'), grad: tensor([[-0.0000e+00, -4.6566e-10, -1.0245e-08, ..., 1.8626e-09, 0.0000e+00, -9.7789e-09], [-3.2596e-09, 0.0000e+00, 4.6566e-10, ..., -6.0536e-09, 4.6566e-10, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 0.0000e+00, 0.0000e+00, 4.6566e-10], ..., [ 1.8626e-09, 0.0000e+00, 4.6566e-10, ..., 4.1910e-09, 0.0000e+00, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 2.3283e-09, ..., 3.7253e-09, 4.6566e-10, 3.2596e-09], [ 4.6566e-10, 4.6566e-10, 5.1223e-09, ..., 4.6566e-10, 4.6566e-10, 5.5879e-09]], device='cuda:0') Epoch 495, bias, value: tensor([-0.0359, -0.0303, 0.0091, 0.0284, -0.0173, 0.0079, -0.0157, 0.0162, 0.0087, -0.0094], device='cuda:0'), grad: tensor([-2.0023e-08, -1.8161e-08, 3.2596e-09, 4.0978e-08, 8.8476e-09, 5.6811e-08, -8.0094e-08, 2.3749e-08, -3.4459e-08, 2.0489e-08], device='cuda:0') 100 1e-05 changing lr epoch 494, time 215.17, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4234 re_mapping 0.0018 re_causal 0.0074 /// teacc 99.19 lr 0.00001000 Epoch 496, weight, value: tensor([[-0.1547, 0.0569, 0.1028, ..., -0.1082, -0.1971, 0.0789], [-0.1355, -0.0662, -0.1580, ..., 0.2031, -0.1222, -0.1161], [-0.0828, 0.0155, 0.2558, ..., -0.1793, -0.1796, -0.2065], ..., [-0.2245, -0.0780, 0.0369, ..., -0.0693, 0.1357, -0.1273], [-0.1493, -0.1021, -0.0952, ..., -0.1912, -0.0195, -0.2330], [-0.2258, -0.0814, -0.1919, ..., -0.2348, -0.0708, 0.1639]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 9.3132e-10, 9.3132e-10, 0.0000e+00], [ 2.7940e-09, 0.0000e+00, 1.7229e-08, ..., -4.0513e-08, 2.5146e-08, -2.7940e-09], [-0.0000e+00, 0.0000e+00, 7.4506e-09, ..., 9.3132e-10, 1.1176e-08, 0.0000e+00], ..., [ 3.7253e-09, 0.0000e+00, -7.9162e-08, ..., 2.5146e-08, -1.2340e-07, 1.3970e-09], [ 4.6566e-10, 0.0000e+00, 1.6298e-08, ..., 6.0536e-09, 2.3283e-08, 4.6566e-10], [ 1.1642e-08, 0.0000e+00, 2.9802e-08, ..., 9.3132e-10, 4.9826e-08, 4.6566e-10]], device='cuda:0') Epoch 496, bias, value: tensor([-0.0359, -0.0303, 0.0091, 0.0284, -0.0174, 0.0079, -0.0156, 0.0162, 0.0087, -0.0095], device='cuda:0'), grad: tensor([ 4.9360e-08, -3.1665e-08, 4.7497e-08, -3.4552e-07, 2.3749e-08, 1.7695e-07, 1.9092e-08, -2.1700e-07, 1.0245e-07, 1.8440e-07], device='cuda:0') 100 1e-05 changing lr epoch 495, time 214.53, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4060 re_mapping 0.0019 re_causal 0.0075 /// teacc 99.21 lr 0.00001000 Epoch 497, weight, value: tensor([[-0.1548, 0.0569, 0.1030, ..., -0.1084, -0.1972, 0.0790], [-0.1356, -0.0662, -0.1582, ..., 0.2032, -0.1223, -0.1161], [-0.0829, 0.0155, 0.2559, ..., -0.1794, -0.1798, -0.2065], ..., [-0.2246, -0.0780, 0.0371, ..., -0.0693, 0.1358, -0.1275], [-0.1493, -0.1021, -0.0952, ..., -0.1916, -0.0195, -0.2332], [-0.2261, -0.0814, -0.1922, ..., -0.2349, -0.0711, 0.1640]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, -1.8626e-09, ..., 9.7789e-09, 9.3132e-10, -1.8626e-09], [ 1.0710e-08, 0.0000e+00, 1.4435e-08, ..., 6.0536e-09, 1.8161e-08, 0.0000e+00], [ 4.6566e-10, 0.0000e+00, 2.0489e-08, ..., 7.4506e-09, 2.3283e-08, 0.0000e+00], ..., [ 6.0536e-09, 0.0000e+00, -7.5437e-08, ..., 1.8626e-09, -9.9652e-08, 1.3970e-09], [ 9.3132e-10, 0.0000e+00, 9.7789e-09, ..., 9.3132e-09, 1.0710e-08, 4.6566e-10], [ 4.6100e-08, 0.0000e+00, 2.1420e-08, ..., 4.6566e-10, 3.3993e-08, 1.3970e-09]], device='cuda:0') Epoch 497, bias, value: tensor([-0.0359, -0.0303, 0.0091, 0.0284, -0.0173, 0.0078, -0.0155, 0.0162, 0.0086, -0.0098], device='cuda:0'), grad: tensor([ 3.9581e-08, 9.9652e-08, 1.0524e-07, 3.6787e-08, -8.1956e-08, 1.3970e-09, -1.3784e-07, -2.6450e-07, 5.0757e-08, 1.6298e-07], device='cuda:0') 100 1e-05 changing lr epoch 496, time 214.58, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4089 re_mapping 0.0019 re_causal 0.0074 /// teacc 99.15 lr 0.00001000 Epoch 498, weight, value: tensor([[-0.1548, 0.0569, 0.1032, ..., -0.1086, -0.1973, 0.0792], [-0.1357, -0.0662, -0.1584, ..., 0.2033, -0.1224, -0.1162], [-0.0829, 0.0155, 0.2560, ..., -0.1795, -0.1800, -0.2066], ..., [-0.2248, -0.0780, 0.0373, ..., -0.0694, 0.1359, -0.1277], [-0.1493, -0.1021, -0.0953, ..., -0.1918, -0.0195, -0.2334], [-0.2263, -0.0814, -0.1925, ..., -0.2350, -0.0713, 0.1641]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -1.8626e-09, ..., 4.6566e-10, 4.6566e-10, -1.3970e-09], [ 4.6566e-10, 0.0000e+00, 2.3283e-09, ..., -1.3970e-09, 4.1910e-09, 4.6566e-10], [ 0.0000e+00, 0.0000e+00, 4.6566e-10, ..., 4.6566e-10, 4.6566e-10, 0.0000e+00], ..., [ 1.3970e-09, 0.0000e+00, -2.3283e-09, ..., 2.3283e-09, -4.6566e-09, 1.0710e-08], [ 0.0000e+00, 0.0000e+00, 9.3132e-10, ..., 1.3970e-09, 2.3283e-09, 1.3970e-09], [ 4.6566e-10, 0.0000e+00, 3.7253e-09, ..., 0.0000e+00, 2.7940e-09, -1.1176e-08]], device='cuda:0') Epoch 498, bias, value: tensor([-0.0358, -0.0303, 0.0090, 0.0286, -0.0173, 0.0077, -0.0155, 0.0162, 0.0086, -0.0099], device='cuda:0'), grad: tensor([ 2.3283e-09, 1.1642e-08, 5.1223e-09, -1.6298e-08, 6.9849e-09, -4.0978e-08, 1.2573e-08, 3.6322e-08, 2.2352e-08, -2.0955e-08], device='cuda:0') 100 1e-05 changing lr epoch 497, time 214.57, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4205 re_mapping 0.0018 re_causal 0.0076 /// teacc 99.18 lr 0.00001000 Epoch 499, weight, value: tensor([[-0.1549, 0.0569, 0.1033, ..., -0.1087, -0.1973, 0.0793], [-0.1357, -0.0662, -0.1587, ..., 0.2033, -0.1225, -0.1163], [-0.0829, 0.0155, 0.2562, ..., -0.1796, -0.1801, -0.2066], ..., [-0.2249, -0.0781, 0.0374, ..., -0.0694, 0.1360, -0.1279], [-0.1493, -0.1021, -0.0954, ..., -0.1920, -0.0195, -0.2335], [-0.2265, -0.0814, -0.1927, ..., -0.2350, -0.0714, 0.1643]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, 3.2596e-09, ..., 4.6566e-10, 5.5879e-09, 9.3132e-10], [ 0.0000e+00, 0.0000e+00, 3.5390e-08, ..., -1.3970e-09, 6.7521e-08, 2.3283e-09], [ 0.0000e+00, 0.0000e+00, 9.3132e-09, ..., 0.0000e+00, 1.7229e-08, 0.0000e+00], ..., [ 0.0000e+00, 0.0000e+00, -1.0477e-07, ..., 1.3970e-09, -2.0768e-07, -6.5193e-09], [ 0.0000e+00, 0.0000e+00, 6.9849e-09, ..., 3.2596e-09, 1.3970e-08, 9.3132e-10], [ 4.6566e-10, 0.0000e+00, 4.5169e-08, ..., 0.0000e+00, 8.7079e-08, 2.7940e-09]], device='cuda:0') Epoch 499, bias, value: tensor([-0.0359, -0.0303, 0.0091, 0.0286, -0.0173, 0.0078, -0.0155, 0.0162, 0.0086, -0.0099], device='cuda:0'), grad: tensor([ 2.2352e-08, 2.2585e-07, 5.4482e-08, 4.0978e-08, 1.7695e-08, 2.2817e-08, -1.8161e-08, -6.8126e-07, 5.4482e-08, 2.8964e-07], device='cuda:0') 100 1e-05 changing lr epoch 498, time 215.01, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4121 re_mapping 0.0019 re_causal 0.0074 /// teacc 99.18 lr 0.00001000 Epoch 500, weight, value: tensor([[-0.1549, 0.0569, 0.1035, ..., -0.1088, -0.1974, 0.0794], [-0.1358, -0.0662, -0.1590, ..., 0.2034, -0.1226, -0.1164], [-0.0830, 0.0155, 0.2561, ..., -0.1797, -0.1806, -0.2066], ..., [-0.2250, -0.0781, 0.0378, ..., -0.0694, 0.1363, -0.1282], [-0.1494, -0.1022, -0.0955, ..., -0.1922, -0.0196, -0.2337], [-0.2266, -0.0814, -0.1930, ..., -0.2350, -0.0717, 0.1644]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 0.0000e+00, -3.1665e-08, ..., -1.3970e-08, 4.6566e-10, -9.3132e-08], [ 4.6566e-10, 0.0000e+00, 2.7940e-08, ..., 9.7789e-09, 1.1642e-08, 5.8208e-08], [ 0.0000e+00, 0.0000e+00, -5.5879e-09, ..., 0.0000e+00, 6.0536e-09, 4.6566e-10], ..., [ 9.3132e-10, 0.0000e+00, -2.1886e-08, ..., 9.3132e-10, -3.4925e-08, 1.3970e-09], [ 0.0000e+00, 0.0000e+00, 5.5879e-09, ..., 1.3970e-09, 4.6566e-09, 1.8626e-09], [ 2.3283e-09, 0.0000e+00, 9.3132e-09, ..., 1.8626e-09, 6.0536e-09, 1.1176e-08]], device='cuda:0') Epoch 500, bias, value: tensor([-0.0358, -0.0303, 0.0088, 0.0286, -0.0174, 0.0077, -0.0155, 0.0162, 0.0085, -0.0100], device='cuda:0'), grad: tensor([-3.0361e-07, 2.4354e-07, 9.3132e-10, 1.3039e-08, 1.5367e-08, 9.7789e-09, 5.4482e-08, -9.9186e-08, 2.7474e-08, 5.5414e-08], device='cuda:0') 100 1e-05 changing lr epoch 499, time 214.41, cls_loss 0.0004 cls_loss_mapping 0.0003 cls_loss_causal 0.4155 re_mapping 0.0019 re_causal 0.0076 /// teacc 99.20 lr 0.00001000 ---------------------saving last model at epoch 499---------------------------------------------------- /home/yuqian_fu here1 here2 {'gpu': '0', 'data': 'mnist', 'ntr': None, 'translate': None, 'autoaug': 'CA_multiple', 'n': 3, 'stride': 3, 'factor_num': 14, 'epochs': 500, 'nbatch': 100, 'batchsize': 32, 'lr': 0.0001, 'lr_scheduler': 'Step', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-digit/CA_multiple_14fa_all_ep500_lr1e-4_lr_schedulerStep0.8_bs32_lamCa_1_lamRe_1_cls1_adt2_EW2_100_rmTrue_rnTrue_str3_WithStyleAttackExp1_onlyblock1', 'clsadapt': True, 'lambda_causal': 1.0, 'lambda_re': 1.0, 'randm': True, 'randn': True, 'network': 'resnet18'} stride: 3 --------------------------CA_multiple-------------------------- ---------------------------14 factors----------------- randm: True randn: True n: 3 randm: False Epoch 1, weight, value: tensor([[ 0.0283, 0.0057, -0.0019, ..., -0.0274, -0.0022, 0.0037], [ 0.0120, 0.0231, -0.0203, ..., 0.0132, -0.0086, 0.0019], [ 0.0071, 0.0276, -0.0189, ..., 0.0208, -0.0272, 0.0256], ..., [-0.0037, 0.0258, 0.0140, ..., -0.0099, 0.0187, 0.0058], [-0.0209, 0.0135, 0.0214, ..., 0.0033, -0.0044, -0.0090], [ 0.0023, -0.0041, -0.0280, ..., 0.0172, 0.0045, -0.0192]], device='cuda:0'), grad: None Epoch 1, bias, value: tensor([ 0.0060, -0.0184, -0.0143, 0.0292, -0.0303, 0.0218, -0.0259, -0.0152, 0.0269, -0.0212], device='cuda:0'), grad: None 100 0.0001 changing lr ---------------------saving model at epoch 0---------------------------------------------------- epoch 0, time 231.99, cls_loss 1.2937 cls_loss_mapping 1.8333 cls_loss_causal 2.2064 re_mapping 0.1579 re_causal 0.1671 /// teacc 86.98 lr 0.00010000 Epoch 2, weight, value: tensor([[ 0.0195, -0.0011, -0.0099, ..., -0.0329, 0.0003, 0.0100], [ 0.0168, 0.0274, -0.0152, ..., 0.0081, -0.0159, -0.0059], [ 0.0113, 0.0264, -0.0222, ..., 0.0159, -0.0319, 0.0208], ..., [-0.0086, 0.0230, 0.0178, ..., -0.0082, 0.0152, 0.0093], [-0.0183, 0.0173, 0.0235, ..., -0.0021, -0.0087, -0.0125], [-0.0050, -0.0019, -0.0277, ..., 0.0171, 0.0072, -0.0164]], device='cuda:0'), grad: tensor([[ 1.1139e-02, 4.3640e-03, 3.0651e-03, ..., 6.8724e-05, 4.3259e-03, -1.6613e-03], [ 5.9998e-02, 2.7451e-02, 2.7939e-02, ..., 2.6512e-04, 3.8929e-03, 2.0065e-03], [-3.1982e-02, 2.0313e-03, 4.4632e-03, ..., 3.1328e-04, 2.0065e-02, 5.4703e-03], ..., [-1.0094e-02, 6.6643e-03, -8.4229e-03, ..., 4.8637e-04, 1.2207e-02, 1.7365e-02], [-1.4168e-02, -4.0833e-02, -3.7201e-02, ..., 1.4133e-03, -1.1932e-02, -1.1238e-02], [ 3.8204e-03, 1.4664e-02, 1.7899e-02, ..., 3.3798e-03, -7.8659e-03, -2.0279e-02]], device='cuda:0') Epoch 2, bias, value: tensor([ 0.0043, -0.0173, -0.0152, 0.0291, -0.0306, 0.0230, -0.0267, -0.0152, 0.0266, -0.0203], device='cuda:0'), grad: tensor([ 0.0111, 0.0471, 0.0069, -0.0267, -0.0258, 0.0181, 0.0187, 0.0158, -0.0539, -0.0115], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 1---------------------------------------------------- epoch 1, time 231.99, cls_loss 0.4344 cls_loss_mapping 0.7874 cls_loss_causal 1.8913 re_mapping 0.2053 re_causal 0.2645 /// teacc 91.77 lr 0.00010000 Epoch 3, weight, value: tensor([[ 0.0158, -0.0029, -0.0120, ..., -0.0389, 0.0002, 0.0142], [ 0.0179, 0.0290, -0.0131, ..., 0.0030, -0.0194, -0.0084], [ 0.0129, 0.0268, -0.0217, ..., 0.0154, -0.0347, 0.0196], ..., [-0.0099, 0.0199, 0.0186, ..., -0.0096, 0.0136, 0.0105], [-0.0168, 0.0210, 0.0265, ..., -0.0091, -0.0121, -0.0159], [-0.0092, -0.0010, -0.0307, ..., 0.0140, 0.0047, -0.0143]], device='cuda:0'), grad: tensor([[ 0.0018, 0.0004, 0.0010, ..., 0.0005, 0.0015, -0.0047], [ 0.0047, 0.0016, 0.0022, ..., 0.0007, 0.0019, 0.0005], [-0.0011, -0.0251, -0.0250, ..., -0.0050, -0.0090, -0.0049], ..., [ 0.0037, -0.0069, -0.0083, ..., 0.0024, 0.0034, -0.0180], [ 0.0114, 0.0285, 0.0298, ..., 0.0047, 0.0155, 0.0140], [-0.0162, 0.0347, 0.0147, ..., 0.0229, 0.0208, 0.0150]], device='cuda:0') Epoch 3, bias, value: tensor([ 0.0042, -0.0173, -0.0154, 0.0290, -0.0305, 0.0239, -0.0272, -0.0162, 0.0264, -0.0195], device='cuda:0'), grad: tensor([ 0.0022, 0.0080, -0.0358, -0.0238, -0.0003, -0.0328, 0.0172, -0.0135, 0.0502, 0.0287], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 2---------------------------------------------------- epoch 2, time 230.89, cls_loss 0.3076 cls_loss_mapping 0.4906 cls_loss_causal 1.6779 re_mapping 0.1548 re_causal 0.2422 /// teacc 94.04 lr 0.00010000 Epoch 4, weight, value: tensor([[ 0.0142, -0.0037, -0.0140, ..., -0.0465, 0.0010, 0.0166], [ 0.0191, 0.0310, -0.0108, ..., 0.0085, -0.0221, -0.0105], [ 0.0142, 0.0265, -0.0212, ..., 0.0152, -0.0376, 0.0193], ..., [-0.0103, 0.0186, 0.0200, ..., -0.0103, 0.0129, 0.0114], [-0.0162, 0.0236, 0.0287, ..., -0.0110, -0.0127, -0.0176], [-0.0115, -0.0013, -0.0345, ..., 0.0108, 0.0021, -0.0130]], device='cuda:0'), grad: tensor([[ 7.3624e-03, 2.4147e-03, 2.1534e-03, ..., 1.0662e-03, 2.3308e-03, 5.8860e-06], [ 1.1559e-02, 3.3340e-03, 4.0359e-03, ..., 1.1997e-03, 2.5444e-03, 2.9039e-04], [-9.6863e-02, -1.4381e-02, -1.4992e-02, ..., -8.7280e-03, -4.8141e-03, 5.6076e-04], ..., [ 8.5754e-03, 3.0384e-03, 5.6953e-03, ..., -8.4763e-03, -7.2556e-03, -4.9591e-04], [ 2.7679e-02, -7.7248e-03, 1.0376e-02, ..., -3.3245e-03, -9.3613e-03, 1.6985e-03], [ 5.0049e-03, -1.3931e-02, 4.0627e-03, ..., -1.6800e-02, -4.6310e-03, -8.2703e-03]], device='cuda:0') Epoch 4, bias, value: tensor([ 0.0047, -0.0169, -0.0156, 0.0288, -0.0310, 0.0241, -0.0278, -0.0163, 0.0267, -0.0193], device='cuda:0'), grad: tensor([ 0.0080, 0.0088, -0.0566, -0.0040, 0.0675, 0.0193, -0.0138, -0.0052, -0.0022, -0.0216], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 3---------------------------------------------------- epoch 3, time 230.82, cls_loss 0.1945 cls_loss_mapping 0.3135 cls_loss_causal 1.5133 re_mapping 0.1276 re_causal 0.2317 /// teacc 95.09 lr 0.00010000 Epoch 5, weight, value: tensor([[ 0.0127, -0.0040, -0.0156, ..., -0.0509, 0.0015, 0.0189], [ 0.0196, 0.0322, -0.0096, ..., 0.0149, -0.0240, -0.0130], [ 0.0151, 0.0263, -0.0206, ..., 0.0143, -0.0399, 0.0183], ..., [-0.0100, 0.0169, 0.0209, ..., -0.0120, 0.0115, 0.0113], [-0.0156, 0.0257, 0.0306, ..., -0.0139, -0.0139, -0.0199], [-0.0135, -0.0015, -0.0374, ..., 0.0084, 0.0004, -0.0112]], device='cuda:0'), grad: tensor([[ 0.0005, 0.0007, 0.0011, ..., 0.0002, -0.0038, -0.0168], [-0.0022, -0.0039, -0.0023, ..., -0.0018, 0.0001, 0.0009], [-0.0004, -0.0060, -0.0090, ..., -0.0016, 0.0004, -0.0004], ..., [-0.0010, 0.0049, -0.0049, ..., 0.0023, 0.0004, 0.0019], [ 0.0055, 0.0012, 0.0018, ..., 0.0014, 0.0016, 0.0039], [ 0.0088, 0.0002, 0.0041, ..., 0.0014, 0.0010, -0.0010]], device='cuda:0') Epoch 5, bias, value: tensor([ 0.0050, -0.0169, -0.0156, 0.0289, -0.0311, 0.0242, -0.0282, -0.0165, 0.0266, -0.0191], device='cuda:0'), grad: tensor([-0.0098, -0.0013, -0.0026, -0.0139, 0.0045, 0.0018, 0.0060, 0.0021, 0.0070, 0.0062], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 4---------------------------------------------------- epoch 4, time 229.97, cls_loss 0.1757 cls_loss_mapping 0.2546 cls_loss_causal 1.3651 re_mapping 0.1016 re_causal 0.1965 /// teacc 96.59 lr 0.00010000 Epoch 6, weight, value: tensor([[ 0.0113, -0.0053, -0.0164, ..., -0.0576, 0.0009, 0.0211], [ 0.0204, 0.0336, -0.0081, ..., 0.0198, -0.0259, -0.0149], [ 0.0159, 0.0265, -0.0204, ..., 0.0145, -0.0417, 0.0168], ..., [-0.0102, 0.0151, 0.0212, ..., -0.0132, 0.0108, 0.0115], [-0.0149, 0.0278, 0.0332, ..., -0.0150, -0.0148, -0.0218], [-0.0157, -0.0016, -0.0411, ..., 0.0058, -0.0011, -0.0093]], device='cuda:0'), grad: tensor([[ 7.1669e-04, -9.8228e-04, 4.6039e-04, ..., 4.1962e-04, -5.6190e-03, -6.1760e-03], [-1.1383e-02, -2.2659e-02, -7.9880e-03, ..., 3.7581e-05, 3.4981e-03, 5.7793e-04], [ 7.3967e-03, 4.3411e-03, 4.0741e-03, ..., 1.1892e-03, 1.7633e-03, 8.8358e-04], ..., [ 2.4395e-03, 3.4904e-03, 1.9026e-03, ..., 2.0676e-03, 3.5534e-03, 2.1248e-03], [ 3.4119e-02, 3.0869e-02, 1.8158e-02, ..., 6.8169e-03, 1.0918e-02, 2.0428e-03], [ 7.1640e-03, 8.7204e-03, 3.9864e-03, ..., 4.5509e-03, 1.0605e-02, 1.1234e-03]], device='cuda:0') Epoch 6, bias, value: tensor([ 0.0052, -0.0166, -0.0160, 0.0288, -0.0313, 0.0239, -0.0280, -0.0165, 0.0270, -0.0190], device='cuda:0'), grad: tensor([-0.0066, -0.0114, 0.0071, -0.0211, -0.0257, -0.0105, 0.0057, 0.0066, 0.0380, 0.0178], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 5---------------------------------------------------- epoch 5, time 228.69, cls_loss 0.1227 cls_loss_mapping 0.1963 cls_loss_causal 1.3091 re_mapping 0.0877 re_causal 0.1888 /// teacc 96.97 lr 0.00010000 Epoch 7, weight, value: tensor([[ 0.0099, -0.0063, -0.0176, ..., -0.0597, 0.0017, 0.0229], [ 0.0216, 0.0348, -0.0071, ..., 0.0255, -0.0275, -0.0157], [ 0.0165, 0.0272, -0.0205, ..., 0.0139, -0.0431, 0.0164], ..., [-0.0108, 0.0134, 0.0216, ..., -0.0152, 0.0098, 0.0113], [-0.0143, 0.0294, 0.0356, ..., -0.0172, -0.0158, -0.0239], [-0.0183, -0.0022, -0.0437, ..., 0.0035, -0.0026, -0.0079]], device='cuda:0'), grad: tensor([[ 5.2547e-04, 1.7238e-04, 5.6076e-04, ..., 8.1301e-04, 1.9608e-02, 7.3700e-03], [ 2.6764e-02, 8.1558e-03, 2.4536e-02, ..., 4.0245e-03, 4.0698e-04, 7.1812e-04], [ 9.5215e-03, 2.5463e-03, 7.8659e-03, ..., -4.7386e-05, 3.1710e-04, 1.7176e-03], ..., [-2.2869e-03, -1.3161e-03, -1.0071e-02, ..., -4.3793e-03, 3.5048e-04, -9.9945e-03], [-7.6981e-03, -9.5978e-03, -1.2505e-02, ..., -3.7742e-04, 9.8324e-04, 2.5902e-03], [ 3.4218e-03, -7.9956e-03, 4.2114e-03, ..., -8.4915e-03, -3.1738e-03, 3.2715e-02]], device='cuda:0') Epoch 7, bias, value: tensor([ 0.0058, -0.0161, -0.0161, 0.0288, -0.0313, 0.0239, -0.0283, -0.0167, 0.0271, -0.0195], device='cuda:0'), grad: tensor([ 0.0134, 0.0200, 0.0075, -0.0239, -0.0157, 0.0022, -0.0143, -0.0118, -0.0039, 0.0265], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 6---------------------------------------------------- epoch 6, time 231.00, cls_loss 0.1235 cls_loss_mapping 0.1809 cls_loss_causal 1.2598 re_mapping 0.0725 re_causal 0.1606 /// teacc 97.22 lr 0.00010000 Epoch 8, weight, value: tensor([[ 0.0087, -0.0077, -0.0190, ..., -0.0631, 0.0012, 0.0243], [ 0.0221, 0.0360, -0.0062, ..., 0.0289, -0.0290, -0.0173], [ 0.0169, 0.0272, -0.0208, ..., 0.0133, -0.0445, 0.0154], ..., [-0.0114, 0.0119, 0.0216, ..., -0.0166, 0.0089, 0.0115], [-0.0134, 0.0313, 0.0377, ..., -0.0196, -0.0167, -0.0255], [-0.0199, -0.0026, -0.0460, ..., 0.0018, -0.0041, -0.0062]], device='cuda:0'), grad: tensor([[ 1.5819e-04, -1.9140e-03, 9.8288e-05, ..., 8.1718e-05, -1.2047e-02, -1.0170e-02], [-9.6560e-04, -1.1635e-03, -1.5917e-03, ..., -1.5030e-03, 1.3500e-05, 5.3453e-04], [ 1.1978e-03, 6.4230e-04, 1.0929e-03, ..., 1.6069e-04, 8.1682e-04, 9.5844e-04], ..., [-8.7690e-04, 5.4312e-04, -1.5545e-03, ..., 1.8406e-04, 3.1519e-04, 9.2030e-04], [ 1.1740e-03, 2.9507e-03, 4.9740e-05, ..., 6.7854e-04, 1.1415e-03, 3.4370e-03], [-2.5082e-04, -6.4659e-03, -6.6757e-04, ..., 3.1638e-04, 6.9475e-04, -7.2060e-03]], device='cuda:0') Epoch 8, bias, value: tensor([ 0.0056, -0.0161, -0.0163, 0.0290, -0.0312, 0.0235, -0.0285, -0.0167, 0.0275, -0.0192], device='cuda:0'), grad: tensor([-0.0138, -0.0006, 0.0022, -0.0002, 0.0040, 0.0033, 0.0089, 0.0007, 0.0064, -0.0108], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 7---------------------------------------------------- epoch 7, time 228.21, cls_loss 0.1154 cls_loss_mapping 0.1719 cls_loss_causal 1.1922 re_mapping 0.0663 re_causal 0.1498 /// teacc 97.30 lr 0.00010000 Epoch 9, weight, value: tensor([[ 0.0076, -0.0087, -0.0198, ..., -0.0631, 0.0014, 0.0252], [ 0.0220, 0.0362, -0.0058, ..., 0.0305, -0.0305, -0.0192], [ 0.0177, 0.0274, -0.0216, ..., 0.0136, -0.0462, 0.0157], ..., [-0.0115, 0.0108, 0.0224, ..., -0.0181, 0.0087, 0.0117], [-0.0127, 0.0326, 0.0393, ..., -0.0205, -0.0182, -0.0272], [-0.0218, -0.0026, -0.0476, ..., 0.0004, -0.0057, -0.0047]], device='cuda:0'), grad: tensor([[ 4.3631e-04, 2.1422e-04, 1.2326e-04, ..., 1.8859e-04, 1.6940e-04, -4.0221e-04], [ 3.6449e-03, -6.8617e-04, 1.6804e-03, ..., -2.6274e-04, 1.4114e-04, 1.3554e-04], [-8.5220e-03, -1.2598e-03, -5.0735e-03, ..., -1.1053e-03, 1.4949e-04, 1.7297e-04], ..., [ 2.5349e-03, 1.1787e-03, 2.8634e-04, ..., 8.5497e-04, 6.2585e-05, 2.7347e-04], [-2.0123e-03, -4.9934e-03, -7.0915e-03, ..., 5.4073e-04, 5.9700e-04, -2.7676e-03], [ 5.3139e-03, 2.2449e-03, 5.5046e-03, ..., -1.0061e-03, 7.7295e-04, -2.2507e-04]], device='cuda:0') Epoch 9, bias, value: tensor([ 0.0058, -0.0165, -0.0160, 0.0292, -0.0313, 0.0231, -0.0286, -0.0165, 0.0276, -0.0192], device='cuda:0'), grad: tensor([ 0.0003, 0.0023, -0.0044, -0.0017, 0.0037, 0.0019, -0.0011, 0.0018, -0.0073, 0.0044], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 8---------------------------------------------------- epoch 8, time 228.98, cls_loss 0.0898 cls_loss_mapping 0.1338 cls_loss_causal 1.1258 re_mapping 0.0587 re_causal 0.1372 /// teacc 97.71 lr 0.00010000 Epoch 10, weight, value: tensor([[ 0.0065, -0.0102, -0.0210, ..., -0.0642, 0.0015, 0.0265], [ 0.0222, 0.0369, -0.0056, ..., 0.0331, -0.0313, -0.0203], [ 0.0182, 0.0274, -0.0222, ..., 0.0134, -0.0471, 0.0149], ..., [-0.0116, 0.0101, 0.0229, ..., -0.0191, 0.0082, 0.0123], [-0.0121, 0.0343, 0.0417, ..., -0.0216, -0.0192, -0.0281], [-0.0234, -0.0028, -0.0499, ..., -0.0009, -0.0066, -0.0036]], device='cuda:0'), grad: tensor([[ 6.4898e-04, 5.1928e-04, 4.2367e-04, ..., 2.3460e-04, 4.7135e-04, -8.6188e-05], [ 3.5114e-03, 4.6577e-03, 4.2229e-03, ..., -1.1616e-03, 1.7347e-03, 7.9441e-04], [ 1.3895e-03, 9.8324e-04, 1.4963e-03, ..., 4.5466e-04, 3.9053e-04, 1.7548e-04], ..., [-2.8658e-04, 1.5049e-03, -6.1369e-04, ..., 5.9652e-04, 8.0490e-04, 9.3746e-04], [-7.4539e-03, -1.0101e-02, -8.0795e-03, ..., 8.0729e-04, 2.3365e-04, 1.0242e-03], [ 9.8038e-04, -2.5940e-03, 7.8964e-04, ..., -1.0643e-03, -9.5367e-04, -3.1643e-03]], device='cuda:0') Epoch 10, bias, value: tensor([ 0.0060, -0.0165, -0.0161, 0.0294, -0.0318, 0.0229, -0.0288, -0.0162, 0.0281, -0.0195], device='cuda:0'), grad: tensor([ 0.0013, 0.0081, 0.0019, -0.0064, 0.0051, 0.0051, 0.0007, 0.0024, -0.0098, -0.0084], device='cuda:0') 100 0.0001 changing lr epoch 9, time 214.92, cls_loss 0.0777 cls_loss_mapping 0.1180 cls_loss_causal 1.0594 re_mapping 0.0545 re_causal 0.1298 /// teacc 97.57 lr 0.00010000 Epoch 11, weight, value: tensor([[ 0.0058, -0.0112, -0.0219, ..., -0.0652, 0.0016, 0.0273], [ 0.0225, 0.0369, -0.0052, ..., 0.0347, -0.0328, -0.0216], [ 0.0187, 0.0275, -0.0221, ..., 0.0125, -0.0483, 0.0140], ..., [-0.0120, 0.0087, 0.0229, ..., -0.0201, 0.0083, 0.0124], [-0.0119, 0.0354, 0.0432, ..., -0.0228, -0.0202, -0.0290], [-0.0243, -0.0027, -0.0512, ..., -0.0020, -0.0078, -0.0020]], device='cuda:0'), grad: tensor([[ 2.6727e-04, 1.6725e-04, 1.4603e-04, ..., 2.0564e-04, 1.9717e-04, -1.4753e-03], [ 7.7629e-04, -4.0591e-05, 7.5176e-06, ..., -4.4107e-04, 3.3355e-04, 2.8539e-04], [-1.0757e-03, -1.2201e-04, 2.1994e-05, ..., 3.1996e-04, 2.1851e-04, 5.7697e-04], ..., [ 1.0729e-03, -1.0002e-04, -1.6432e-03, ..., -1.0138e-03, 9.4235e-05, -8.3542e-04], [ 1.7977e-03, -5.2959e-05, -4.4441e-04, ..., 5.9128e-04, 1.1911e-03, 1.2751e-03], [ 1.2703e-03, 3.2973e-04, 1.2531e-03, ..., 5.2500e-04, 3.1829e-04, -5.1785e-04]], device='cuda:0') Epoch 11, bias, value: tensor([ 0.0060, -0.0168, -0.0160, 0.0292, -0.0316, 0.0232, -0.0292, -0.0163, 0.0280, -0.0191], device='cuda:0'), grad: tensor([-6.4278e-04, 1.0014e-03, -6.0737e-05, -1.2226e-03, 1.1005e-03, -3.6278e-03, -1.4198e-04, -4.6611e-04, 3.1166e-03, 9.4461e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 10---------------------------------------------------- epoch 10, time 226.90, cls_loss 0.0687 cls_loss_mapping 0.1066 cls_loss_causal 1.0942 re_mapping 0.0480 re_causal 0.1214 /// teacc 97.76 lr 0.00010000 Epoch 12, weight, value: tensor([[ 0.0047, -0.0118, -0.0222, ..., -0.0654, 0.0013, 0.0285], [ 0.0225, 0.0372, -0.0048, ..., 0.0361, -0.0343, -0.0224], [ 0.0194, 0.0278, -0.0227, ..., 0.0122, -0.0493, 0.0129], ..., [-0.0123, 0.0077, 0.0234, ..., -0.0213, 0.0078, 0.0124], [-0.0114, 0.0362, 0.0445, ..., -0.0241, -0.0215, -0.0305], [-0.0257, -0.0028, -0.0523, ..., -0.0031, -0.0087, -0.0012]], device='cuda:0'), grad: tensor([[ 3.2926e-04, 5.4026e-04, 8.6451e-04, ..., 1.0991e-04, -2.7919e-04, -2.1577e-04], [-1.2421e-02, 1.3878e-02, 1.3016e-02, ..., -8.5144e-03, 5.3263e-04, 1.2140e-03], [ 2.1240e-02, 3.9978e-03, 5.5580e-03, ..., 6.3820e-03, 1.7965e-04, -1.1784e-04], ..., [ 4.0779e-03, 6.8398e-03, 4.7264e-03, ..., 6.7091e-04, -1.2312e-03, 2.6588e-03], [-2.0782e-02, -3.1036e-02, -3.0350e-02, ..., -1.1019e-05, 3.1567e-04, 1.4315e-03], [ 2.3067e-04, -1.7395e-03, 1.0681e-03, ..., -3.7479e-04, 2.7728e-04, -1.0612e-02]], device='cuda:0') Epoch 12, bias, value: tensor([ 0.0061, -0.0169, -0.0160, 0.0295, -0.0317, 0.0234, -0.0291, -0.0164, 0.0279, -0.0194], device='cuda:0'), grad: tensor([ 0.0004, 0.0002, 0.0153, 0.0083, 0.0033, 0.0011, 0.0017, 0.0161, -0.0257, -0.0208], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 11---------------------------------------------------- epoch 11, time 231.33, cls_loss 0.0671 cls_loss_mapping 0.1050 cls_loss_causal 1.0557 re_mapping 0.0455 re_causal 0.1133 /// teacc 97.85 lr 0.00010000 Epoch 13, weight, value: tensor([[ 0.0036, -0.0132, -0.0229, ..., -0.0657, 0.0017, 0.0297], [ 0.0226, 0.0373, -0.0044, ..., 0.0368, -0.0356, -0.0230], [ 0.0197, 0.0280, -0.0231, ..., 0.0118, -0.0501, 0.0123], ..., [-0.0124, 0.0065, 0.0238, ..., -0.0209, 0.0084, 0.0126], [-0.0108, 0.0374, 0.0463, ..., -0.0251, -0.0228, -0.0320], [-0.0269, -0.0026, -0.0539, ..., -0.0043, -0.0098, 0.0002]], device='cuda:0'), grad: tensor([[ 3.8147e-04, 8.7738e-04, 9.3937e-04, ..., 4.2605e-04, 9.2506e-05, 3.4690e-05], [-1.4696e-03, -8.5306e-04, -3.2592e-04, ..., -8.4877e-04, 1.3880e-05, 7.1239e-04], [ 1.2350e-03, 1.4381e-03, 1.4677e-03, ..., 6.7329e-04, 1.3065e-04, 7.8773e-04], ..., [ 4.0531e-04, 1.9779e-03, 1.1644e-03, ..., 1.0471e-03, 2.3699e-04, 1.4505e-03], [-4.0855e-03, -7.9269e-03, -9.6893e-03, ..., -2.6054e-03, 1.9484e-03, -5.1003e-03], [ 1.3075e-03, 2.9812e-03, 2.2297e-03, ..., 1.3323e-03, 8.3494e-04, 2.0313e-03]], device='cuda:0') Epoch 13, bias, value: tensor([ 0.0060, -0.0173, -0.0161, 0.0293, -0.0317, 0.0232, -0.0291, -0.0161, 0.0282, -0.0193], device='cuda:0'), grad: tensor([ 0.0012, -0.0005, 0.0024, 0.0032, -0.0014, -0.0036, 0.0024, 0.0025, -0.0115, 0.0053], device='cuda:0') 100 0.0001 changing lr epoch 12, time 215.23, cls_loss 0.0634 cls_loss_mapping 0.0970 cls_loss_causal 1.0147 re_mapping 0.0415 re_causal 0.1077 /// teacc 97.65 lr 0.00010000 Epoch 14, weight, value: tensor([[ 0.0029, -0.0142, -0.0232, ..., -0.0666, 0.0016, 0.0305], [ 0.0227, 0.0372, -0.0036, ..., 0.0376, -0.0365, -0.0242], [ 0.0203, 0.0284, -0.0236, ..., 0.0123, -0.0508, 0.0116], ..., [-0.0122, 0.0062, 0.0249, ..., -0.0218, 0.0080, 0.0128], [-0.0103, 0.0385, 0.0474, ..., -0.0259, -0.0230, -0.0329], [-0.0280, -0.0026, -0.0550, ..., -0.0054, -0.0110, 0.0013]], device='cuda:0'), grad: tensor([[ 1.3447e-03, 7.3767e-04, 5.6267e-04, ..., 2.0659e-04, 7.5674e-04, 7.1347e-05], [-5.8508e-04, -1.1187e-03, -4.1389e-04, ..., -1.5078e-03, 1.1104e-04, 8.0407e-05], [ 6.5460e-03, 3.5801e-03, 3.0880e-03, ..., 1.3819e-03, 8.0538e-04, 1.6582e-04], ..., [ 1.3008e-03, 1.9445e-03, 2.3305e-04, ..., 3.3798e-03, 4.3716e-03, 6.6662e-04], [-4.9820e-03, -3.5076e-03, -2.2850e-03, ..., 5.4693e-04, 4.7607e-03, 7.7677e-04], [ 1.7738e-03, 1.0406e-02, 5.7840e-04, ..., 8.9188e-03, 1.5099e-02, 5.3253e-03]], device='cuda:0') Epoch 14, bias, value: tensor([ 0.0061, -0.0175, -0.0161, 0.0292, -0.0320, 0.0231, -0.0290, -0.0158, 0.0286, -0.0194], device='cuda:0'), grad: tensor([ 0.0024, -0.0004, 0.0093, -0.0086, -0.0267, -0.0250, 0.0245, 0.0065, -0.0014, 0.0194], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 13---------------------------------------------------- epoch 13, time 231.46, cls_loss 0.0508 cls_loss_mapping 0.0822 cls_loss_causal 0.9909 re_mapping 0.0390 re_causal 0.1015 /// teacc 98.03 lr 0.00010000 Epoch 15, weight, value: tensor([[ 0.0022, -0.0154, -0.0236, ..., -0.0678, 0.0018, 0.0315], [ 0.0228, 0.0379, -0.0032, ..., 0.0382, -0.0372, -0.0253], [ 0.0206, 0.0284, -0.0246, ..., 0.0126, -0.0518, 0.0118], ..., [-0.0123, 0.0055, 0.0258, ..., -0.0222, 0.0067, 0.0127], [-0.0099, 0.0390, 0.0486, ..., -0.0265, -0.0240, -0.0338], [-0.0291, -0.0025, -0.0563, ..., -0.0061, -0.0113, 0.0020]], device='cuda:0'), grad: tensor([[ 1.1826e-03, 1.0786e-03, 4.8190e-05, ..., 1.9515e-04, 2.0385e-05, -4.6825e-04], [-1.6415e-04, -1.2236e-03, -1.4362e-03, ..., -1.7853e-03, -6.5756e-04, -2.8804e-05], [-5.0621e-03, -3.8280e-03, -1.8573e-04, ..., -1.0939e-03, 1.6332e-04, 2.6250e-04], ..., [ 7.9346e-04, 1.0300e-03, 4.6015e-04, ..., 6.6423e-04, 1.4973e-04, 9.1934e-04], [ 4.2009e-04, 3.7003e-04, -5.3453e-04, ..., 7.2002e-04, 6.1512e-04, 2.6655e-04], [ 3.3402e-04, -6.1703e-04, 2.8419e-04, ..., -6.6280e-05, 9.9277e-04, -3.5992e-03]], device='cuda:0') Epoch 15, bias, value: tensor([ 0.0063, -0.0176, -0.0159, 0.0294, -0.0321, 0.0232, -0.0290, -0.0159, 0.0286, -0.0195], device='cuda:0'), grad: tensor([ 0.0012, -0.0010, -0.0054, 0.0013, 0.0019, 0.0011, 0.0006, 0.0020, 0.0011, -0.0029], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 14---------------------------------------------------- epoch 14, time 231.06, cls_loss 0.0531 cls_loss_mapping 0.0789 cls_loss_causal 0.9585 re_mapping 0.0372 re_causal 0.0959 /// teacc 98.13 lr 0.00010000 Epoch 16, weight, value: tensor([[ 0.0017, -0.0163, -0.0240, ..., -0.0697, 0.0019, 0.0326], [ 0.0230, 0.0386, -0.0029, ..., 0.0393, -0.0382, -0.0246], [ 0.0212, 0.0283, -0.0248, ..., 0.0122, -0.0527, 0.0108], ..., [-0.0127, 0.0046, 0.0261, ..., -0.0222, 0.0068, 0.0128], [-0.0096, 0.0397, 0.0494, ..., -0.0271, -0.0245, -0.0352], [-0.0298, -0.0027, -0.0570, ..., -0.0073, -0.0125, 0.0030]], device='cuda:0'), grad: tensor([[ 5.3835e-04, 8.8453e-04, 4.8566e-04, ..., 3.9029e-04, 1.2894e-03, 9.9897e-05], [-1.5678e-03, -5.1117e-03, -2.0676e-03, ..., -3.2654e-03, -1.6332e-04, 1.0079e-04], [ 8.1024e-03, 5.0468e-03, 6.8932e-03, ..., -9.8705e-05, 5.3674e-05, 2.1589e-04], ..., [ 5.5161e-03, 2.0905e-03, 3.2120e-03, ..., 2.8563e-04, 3.1561e-05, -8.8692e-04], [-2.9507e-03, -7.5989e-03, -6.4392e-03, ..., 1.5297e-03, -2.0552e-04, 7.0669e-06], [ 1.9245e-03, 7.5960e-04, 3.9911e-04, ..., 1.3947e-04, 7.0095e-05, 1.7681e-03]], device='cuda:0') Epoch 16, bias, value: tensor([ 0.0066, -0.0174, -0.0159, 0.0293, -0.0322, 0.0231, -0.0290, -0.0161, 0.0286, -0.0196], device='cuda:0'), grad: tensor([ 0.0015, -0.0034, 0.0091, -0.0182, 0.0008, 0.0014, 0.0060, 0.0046, -0.0062, 0.0044], device='cuda:0') 100 0.0001 changing lr epoch 15, time 215.12, cls_loss 0.0525 cls_loss_mapping 0.0857 cls_loss_causal 0.9667 re_mapping 0.0353 re_causal 0.0921 /// teacc 98.09 lr 0.00010000 Epoch 17, weight, value: tensor([[ 0.0011, -0.0177, -0.0244, ..., -0.0704, 0.0016, 0.0336], [ 0.0233, 0.0389, -0.0022, ..., 0.0402, -0.0393, -0.0249], [ 0.0216, 0.0290, -0.0251, ..., 0.0121, -0.0535, 0.0097], ..., [-0.0132, 0.0027, 0.0260, ..., -0.0235, 0.0068, 0.0127], [-0.0090, 0.0409, 0.0505, ..., -0.0283, -0.0258, -0.0362], [-0.0307, -0.0023, -0.0578, ..., -0.0076, -0.0131, 0.0038]], device='cuda:0'), grad: tensor([[ 5.5701e-05, 2.3961e-04, 1.0751e-05, ..., 2.5123e-05, 4.2707e-05, 3.4475e-04], [-1.7881e-04, -3.8475e-05, -1.9240e-04, ..., -1.2481e-04, 1.4341e-04, 7.2718e-05], [ 3.7169e-04, 3.2997e-04, 2.1982e-04, ..., 1.5676e-04, 7.1645e-05, 2.8896e-04], ..., [ 7.4565e-05, 1.8740e-04, -1.8525e-04, ..., 1.0735e-04, 8.8394e-05, 2.2340e-04], [ 2.2602e-04, 1.5574e-03, 5.0701e-06, ..., 2.3878e-04, 5.2881e-04, 2.3689e-03], [-1.9515e-04, -3.1433e-03, 3.8445e-05, ..., 6.7091e-04, 1.0738e-03, -4.5891e-03]], device='cuda:0') Epoch 17, bias, value: tensor([ 0.0067, -0.0174, -0.0161, 0.0294, -0.0318, 0.0229, -0.0292, -0.0165, 0.0289, -0.0195], device='cuda:0'), grad: tensor([ 9.1124e-04, 7.7069e-05, 1.1501e-03, 7.0620e-04, 2.1439e-03, -7.5912e-04, 9.4831e-05, 3.5644e-04, 5.6686e-03, -1.0353e-02], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 16---------------------------------------------------- epoch 16, time 224.71, cls_loss 0.0459 cls_loss_mapping 0.0742 cls_loss_causal 0.9690 re_mapping 0.0325 re_causal 0.0910 /// teacc 98.17 lr 0.00010000 Epoch 18, weight, value: tensor([[ 0.0002, -0.0183, -0.0247, ..., -0.0705, 0.0015, 0.0343], [ 0.0235, 0.0391, -0.0017, ..., 0.0409, -0.0397, -0.0252], [ 0.0220, 0.0290, -0.0254, ..., 0.0114, -0.0544, 0.0100], ..., [-0.0136, 0.0018, 0.0262, ..., -0.0237, 0.0064, 0.0130], [-0.0084, 0.0417, 0.0516, ..., -0.0288, -0.0266, -0.0371], [-0.0314, -0.0023, -0.0583, ..., -0.0089, -0.0136, 0.0046]], device='cuda:0'), grad: tensor([[-8.8692e-04, -2.2984e-03, 4.0889e-05, ..., 3.0190e-05, 1.5903e-04, -7.0801e-03], [-3.3020e-02, -1.4282e-02, -1.3641e-02, ..., -3.4213e-05, 9.1493e-05, -3.7937e-03], [ 3.1952e-02, 1.4763e-02, 1.3283e-02, ..., 3.4779e-05, 1.7500e-04, 7.2212e-03], ..., [ 9.7847e-04, 5.8365e-04, 1.4889e-04, ..., 3.2008e-05, 9.0122e-05, 6.5804e-04], [ 2.8248e-03, -7.0715e-04, -3.1924e-04, ..., 7.9095e-05, 6.9857e-04, 1.4400e-03], [ 1.0185e-03, 5.2929e-04, 1.3721e-04, ..., 9.1732e-05, 5.4646e-04, 5.4693e-04]], device='cuda:0') Epoch 18, bias, value: tensor([ 0.0068, -0.0175, -0.0160, 0.0291, -0.0318, 0.0231, -0.0296, -0.0163, 0.0289, -0.0194], device='cuda:0'), grad: tensor([-0.0062, -0.0246, 0.0258, -0.0078, 0.0003, 0.0048, 0.0011, 0.0017, 0.0029, 0.0019], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 17---------------------------------------------------- epoch 17, time 231.18, cls_loss 0.0493 cls_loss_mapping 0.0760 cls_loss_causal 0.9548 re_mapping 0.0332 re_causal 0.0872 /// teacc 98.38 lr 0.00010000 Epoch 19, weight, value: tensor([[-0.0003, -0.0189, -0.0247, ..., -0.0708, 0.0011, 0.0351], [ 0.0234, 0.0392, -0.0016, ..., 0.0414, -0.0404, -0.0255], [ 0.0223, 0.0287, -0.0259, ..., 0.0111, -0.0552, 0.0091], ..., [-0.0136, 0.0011, 0.0270, ..., -0.0241, 0.0062, 0.0127], [-0.0079, 0.0427, 0.0528, ..., -0.0296, -0.0273, -0.0384], [-0.0324, -0.0022, -0.0594, ..., -0.0098, -0.0141, 0.0053]], device='cuda:0'), grad: tensor([[ 9.3758e-05, -8.0013e-04, -3.6788e-04, ..., 6.9499e-05, -1.0424e-03, -5.0812e-03], [ 9.8169e-05, 6.8784e-05, 1.0657e-04, ..., -9.1910e-05, 1.2219e-04, 1.4889e-04], [ 7.2956e-04, 5.8603e-04, 9.2983e-04, ..., 1.5342e-04, 1.8096e-04, 5.5218e-04], ..., [-1.1854e-03, -1.2369e-03, -1.9293e-03, ..., 1.0896e-04, 1.2434e-04, -6.9571e-04], [ 4.9353e-04, 1.5421e-03, 6.5374e-04, ..., 5.1451e-04, 2.4548e-03, 4.8141e-03], [ 4.0102e-04, 2.7599e-03, 4.0936e-04, ..., 2.8343e-03, 1.6794e-03, 1.4997e-04]], device='cuda:0') Epoch 19, bias, value: tensor([ 0.0067, -0.0177, -0.0161, 0.0291, -0.0317, 0.0232, -0.0292, -0.0163, 0.0289, -0.0195], device='cuda:0'), grad: tensor([-0.0047, 0.0004, 0.0018, -0.0004, -0.0017, 0.0001, -0.0018, -0.0026, 0.0062, 0.0026], device='cuda:0') 100 0.0001 changing lr epoch 18, time 215.06, cls_loss 0.0409 cls_loss_mapping 0.0697 cls_loss_causal 0.8914 re_mapping 0.0304 re_causal 0.0880 /// teacc 98.36 lr 0.00010000 Epoch 20, weight, value: tensor([[-0.0007, -0.0197, -0.0250, ..., -0.0724, 0.0009, 0.0354], [ 0.0234, 0.0395, -0.0014, ..., 0.0425, -0.0402, -0.0263], [ 0.0225, 0.0294, -0.0263, ..., 0.0107, -0.0559, 0.0088], ..., [-0.0139, 0.0007, 0.0275, ..., -0.0250, 0.0058, 0.0130], [-0.0077, 0.0430, 0.0534, ..., -0.0303, -0.0276, -0.0383], [-0.0331, -0.0024, -0.0601, ..., -0.0102, -0.0150, 0.0063]], device='cuda:0'), grad: tensor([[ 8.7023e-04, 4.3273e-05, 8.1778e-05, ..., 3.0184e-04, -1.2033e-06, 3.4285e-04], [ 3.3021e-04, -2.0373e-04, -2.6870e-04, ..., -1.8418e-04, 3.2306e-05, 4.4727e-04], [-1.0864e-02, 2.9182e-04, -9.2936e-04, ..., -1.8158e-03, 1.5438e-05, -4.9973e-03], ..., [ 1.2007e-03, 2.5773e-04, -1.0568e-04, ..., 4.6945e-04, 1.8969e-05, 6.5041e-04], [ 2.9297e-03, 4.5967e-04, 3.1918e-05, ..., 2.5725e-04, 4.6819e-05, 3.8719e-04], [ 4.8423e-04, 8.1599e-05, 1.6391e-04, ..., 3.3736e-04, 1.3840e-04, 3.9250e-05]], device='cuda:0') Epoch 20, bias, value: tensor([ 0.0063, -0.0177, -0.0164, 0.0294, -0.0317, 0.0233, -0.0295, -0.0163, 0.0291, -0.0194], device='cuda:0'), grad: tensor([ 0.0020, 0.0010, -0.0245, 0.0107, 0.0004, 0.0024, 0.0007, 0.0026, 0.0039, 0.0008], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 19---------------------------------------------------- epoch 19, time 230.92, cls_loss 0.0366 cls_loss_mapping 0.0600 cls_loss_causal 0.8907 re_mapping 0.0295 re_causal 0.0805 /// teacc 98.56 lr 0.00010000 Epoch 21, weight, value: tensor([[-0.0012, -0.0203, -0.0253, ..., -0.0728, 0.0009, 0.0360], [ 0.0234, 0.0395, -0.0014, ..., 0.0427, -0.0412, -0.0274], [ 0.0228, 0.0295, -0.0266, ..., 0.0112, -0.0561, 0.0087], ..., [-0.0143, -0.0004, 0.0277, ..., -0.0249, 0.0062, 0.0130], [-0.0074, 0.0438, 0.0543, ..., -0.0310, -0.0284, -0.0388], [-0.0339, -0.0019, -0.0606, ..., -0.0111, -0.0158, 0.0074]], device='cuda:0'), grad: tensor([[ 5.4646e-04, 1.3399e-04, 5.8204e-05, ..., 8.6069e-04, 1.0862e-03, -3.8713e-05], [-3.3875e-03, -2.5845e-03, -5.9557e-04, ..., -1.5802e-03, -1.5726e-03, 5.9456e-05], [ 1.1665e-02, 6.4433e-05, 7.8797e-05, ..., 1.6603e-03, 2.1572e-03, 7.4100e-04], ..., [ 4.9639e-04, 1.0461e-04, -8.8215e-05, ..., 1.7965e-04, 2.1565e-04, -1.1429e-05], [ 3.2673e-03, 2.4986e-04, -1.8513e-04, ..., 4.9067e-04, 5.7268e-04, 2.0254e-04], [ 3.0470e-04, 2.3413e-04, 8.2254e-05, ..., 3.9768e-04, 4.3058e-04, -1.9956e-04]], device='cuda:0') Epoch 21, bias, value: tensor([ 0.0063, -0.0182, -0.0163, 0.0294, -0.0322, 0.0235, -0.0297, -0.0160, 0.0293, -0.0192], device='cuda:0'), grad: tensor([ 0.0018, -0.0043, 0.0197, 0.0069, 0.0056, -0.0284, -0.0077, 0.0007, 0.0049, 0.0007], device='cuda:0') 100 0.0001 changing lr epoch 20, time 214.83, cls_loss 0.0401 cls_loss_mapping 0.0592 cls_loss_causal 0.8446 re_mapping 0.0291 re_causal 0.0799 /// teacc 98.37 lr 0.00010000 Epoch 22, weight, value: tensor([[-0.0016, -0.0212, -0.0256, ..., -0.0731, 0.0007, 0.0362], [ 0.0240, 0.0400, -0.0005, ..., 0.0436, -0.0421, -0.0276], [ 0.0227, 0.0291, -0.0275, ..., 0.0103, -0.0570, 0.0079], ..., [-0.0143, -0.0006, 0.0283, ..., -0.0248, 0.0059, 0.0132], [-0.0074, 0.0444, 0.0546, ..., -0.0315, -0.0287, -0.0397], [-0.0349, -0.0017, -0.0616, ..., -0.0122, -0.0162, 0.0090]], device='cuda:0'), grad: tensor([[-2.0005e-06, -2.9564e-03, 1.8865e-05, ..., -8.0824e-04, -1.0977e-03, -5.6648e-03], [-6.8732e-06, -1.4740e-02, -1.6418e-02, ..., -1.9592e-02, 1.9741e-04, -1.3535e-02], [ 2.1529e-04, 4.9067e-04, 7.7903e-05, ..., 1.3316e-04, 5.7364e-04, 8.5926e-04], ..., [ 1.7536e-04, 1.3176e-02, 1.4229e-02, ..., 1.7181e-02, 2.1052e-04, 1.2131e-02], [ 5.8222e-04, 6.3610e-04, 1.0544e-04, ..., 4.9639e-04, 8.5163e-04, 7.8249e-04], [ 1.2010e-04, 1.9951e-03, 1.5574e-03, ..., 2.1553e-03, 4.8709e-04, 2.8820e-03]], device='cuda:0') Epoch 22, bias, value: tensor([ 0.0060, -0.0182, -0.0165, 0.0292, -0.0325, 0.0236, -0.0295, -0.0153, 0.0293, -0.0192], device='cuda:0'), grad: tensor([-0.0053, -0.0250, 0.0015, -0.0002, 0.0004, -0.0008, 0.0004, 0.0226, 0.0023, 0.0040], device='cuda:0') 100 0.0001 changing lr epoch 21, time 214.91, cls_loss 0.0364 cls_loss_mapping 0.0639 cls_loss_causal 0.8884 re_mapping 0.0279 re_causal 0.0794 /// teacc 98.46 lr 0.00010000 Epoch 23, weight, value: tensor([[-0.0021, -0.0223, -0.0260, ..., -0.0741, 0.0005, 0.0369], [ 0.0241, 0.0403, -0.0002, ..., 0.0444, -0.0430, -0.0277], [ 0.0233, 0.0293, -0.0276, ..., 0.0100, -0.0577, 0.0078], ..., [-0.0150, -0.0017, 0.0281, ..., -0.0254, 0.0054, 0.0131], [-0.0072, 0.0449, 0.0556, ..., -0.0325, -0.0289, -0.0408], [-0.0356, -0.0015, -0.0626, ..., -0.0138, -0.0170, 0.0097]], device='cuda:0'), grad: tensor([[ 7.0691e-05, -1.1325e-05, 1.6049e-05, ..., 2.6375e-05, -1.0481e-03, -2.1782e-03], [-3.4308e-04, -5.4026e-04, -2.6584e-04, ..., -8.2970e-04, 1.1675e-05, 2.4229e-05], [ 9.4414e-05, 1.0532e-04, 1.5438e-04, ..., 2.0075e-04, 3.4720e-05, 8.7619e-05], ..., [ 1.5104e-04, 1.1742e-04, -4.5866e-05, ..., 1.2362e-04, 2.3440e-05, 5.9083e-06], [ 1.7393e-04, 2.8163e-05, 3.2425e-05, ..., 4.1038e-05, 1.6737e-04, 2.9874e-04], [ 6.6662e-04, -2.3341e-04, 6.0368e-04, ..., 2.0415e-05, 8.6188e-05, 7.2241e-05]], device='cuda:0') Epoch 23, bias, value: tensor([ 0.0058, -0.0182, -0.0162, 0.0295, -0.0322, 0.0233, -0.0288, -0.0161, 0.0292, -0.0194], device='cuda:0'), grad: tensor([-0.0021, -0.0007, 0.0003, -0.0016, 0.0007, -0.0004, 0.0019, 0.0002, 0.0006, 0.0011], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 22---------------------------------------------------- epoch 22, time 230.67, cls_loss 0.0305 cls_loss_mapping 0.0520 cls_loss_causal 0.8605 re_mapping 0.0272 re_causal 0.0787 /// teacc 98.66 lr 0.00010000 Epoch 24, weight, value: tensor([[-0.0027, -0.0223, -0.0267, ..., -0.0744, 0.0006, 0.0374], [ 0.0245, 0.0405, 0.0006, ..., 0.0451, -0.0434, -0.0287], [ 0.0235, 0.0298, -0.0284, ..., 0.0104, -0.0582, 0.0074], ..., [-0.0151, -0.0024, 0.0285, ..., -0.0255, 0.0051, 0.0134], [-0.0070, 0.0451, 0.0563, ..., -0.0334, -0.0293, -0.0416], [-0.0364, -0.0015, -0.0642, ..., -0.0148, -0.0175, 0.0102]], device='cuda:0'), grad: tensor([[ 4.3660e-05, 6.6876e-05, 3.6389e-05, ..., 5.9187e-05, 1.7121e-05, -2.0385e-04], [-1.8001e-05, -1.2112e-04, -1.4782e-04, ..., -2.5845e-04, 4.1515e-05, 1.5095e-05], [-4.6444e-04, -1.1975e-04, -7.8082e-05, ..., 1.3244e-04, 1.0961e-04, 5.8144e-05], ..., [ 1.6797e-04, 2.5654e-04, -5.9545e-05, ..., 2.0015e-04, 9.5248e-05, -3.2514e-05], [-6.0749e-04, -3.1781e-04, -3.7289e-04, ..., 8.1301e-05, 7.0286e-04, 3.9673e-04], [ 1.2290e-04, 3.8929e-03, 9.5904e-05, ..., 3.3684e-03, 1.9350e-03, 2.9564e-04]], device='cuda:0') Epoch 24, bias, value: tensor([ 0.0059, -0.0181, -0.0160, 0.0295, -0.0322, 0.0239, -0.0296, -0.0159, 0.0290, -0.0196], device='cuda:0'), grad: tensor([-4.5985e-05, -1.3602e-04, -2.2340e-04, 8.0156e-04, -3.8166e-03, -1.3971e-03, 4.4751e-04, 1.2708e-04, 2.2686e-04, 4.0169e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 23---------------------------------------------------- epoch 23, time 230.52, cls_loss 0.0282 cls_loss_mapping 0.0484 cls_loss_causal 0.8106 re_mapping 0.0256 re_causal 0.0735 /// teacc 98.73 lr 0.00010000 Epoch 25, weight, value: tensor([[-0.0031, -0.0230, -0.0272, ..., -0.0752, 0.0006, 0.0382], [ 0.0249, 0.0407, 0.0016, ..., 0.0456, -0.0445, -0.0294], [ 0.0234, 0.0295, -0.0296, ..., 0.0102, -0.0587, 0.0073], ..., [-0.0153, -0.0029, 0.0290, ..., -0.0264, 0.0048, 0.0133], [-0.0066, 0.0457, 0.0569, ..., -0.0337, -0.0301, -0.0419], [-0.0372, -0.0015, -0.0655, ..., -0.0158, -0.0182, 0.0108]], device='cuda:0'), grad: tensor([[-1.3389e-05, -1.3292e-04, 4.2409e-05, ..., 3.0845e-05, 7.4625e-05, -1.0700e-03], [-6.0797e-04, -5.0974e-04, -5.0163e-04, ..., -6.5994e-04, -2.1085e-05, 6.6698e-05], [ 2.6673e-05, 1.9169e-04, 1.4102e-04, ..., 5.4359e-05, 3.2604e-05, 9.3222e-04], ..., [-3.0383e-05, 9.5010e-05, -3.6478e-04, ..., 1.1754e-04, 5.1618e-05, -5.8556e-04], [-2.0294e-03, -4.4136e-03, -2.3499e-03, ..., 1.4389e-04, -1.4114e-03, 9.5367e-05], [ 1.5378e-04, 1.4949e-04, 3.1757e-04, ..., 4.9055e-05, 7.1883e-05, 2.6226e-04]], device='cuda:0') Epoch 25, bias, value: tensor([ 0.0061, -0.0180, -0.0166, 0.0296, -0.0321, 0.0236, -0.0291, -0.0157, 0.0293, -0.0200], device='cuda:0'), grad: tensor([-0.0009, -0.0009, 0.0010, 0.0025, 0.0003, 0.0018, 0.0014, -0.0007, -0.0051, 0.0006], device='cuda:0') 100 0.0001 changing lr epoch 24, time 214.82, cls_loss 0.0240 cls_loss_mapping 0.0469 cls_loss_causal 0.8217 re_mapping 0.0250 re_causal 0.0730 /// teacc 98.59 lr 0.00010000 Epoch 26, weight, value: tensor([[-0.0033, -0.0235, -0.0273, ..., -0.0755, 0.0005, 0.0383], [ 0.0248, 0.0410, 0.0019, ..., 0.0461, -0.0453, -0.0293], [ 0.0239, 0.0295, -0.0296, ..., 0.0104, -0.0589, 0.0064], ..., [-0.0155, -0.0034, 0.0299, ..., -0.0275, 0.0045, 0.0132], [-0.0065, 0.0463, 0.0574, ..., -0.0339, -0.0306, -0.0426], [-0.0382, -0.0014, -0.0665, ..., -0.0169, -0.0187, 0.0119]], device='cuda:0'), grad: tensor([[ 8.8692e-05, 2.4819e-04, 1.1170e-04, ..., 3.7074e-05, 3.5614e-05, -6.2063e-06], [-1.1903e-04, -1.9062e-04, -2.5582e-04, ..., -4.1771e-04, 3.0641e-06, 5.7556e-06], [ 2.9063e-04, 9.4533e-05, 2.2972e-04, ..., 6.5327e-05, 1.2636e-05, 6.6012e-06], ..., [-1.1778e-04, 9.1851e-05, -2.8849e-04, ..., 1.1230e-04, 3.1143e-05, 5.0627e-06], [-7.9215e-05, -6.2132e-04, -3.2711e-04, ..., 3.6716e-05, 1.5140e-04, 1.7440e-04], [ 2.7204e-04, 1.9503e-04, 1.2255e-04, ..., 1.1432e-04, 1.4114e-04, -2.3514e-05]], device='cuda:0') Epoch 26, bias, value: tensor([ 0.0061, -0.0182, -0.0164, 0.0296, -0.0321, 0.0235, -0.0293, -0.0155, 0.0293, -0.0198], device='cuda:0'), grad: tensor([ 2.8181e-04, -2.7990e-04, 4.7016e-04, -6.6805e-04, -4.9710e-05, -1.5187e-04, 1.7297e-04, -2.0444e-04, -1.1271e-04, 5.4169e-04], device='cuda:0') 100 0.0001 changing lr epoch 25, time 215.18, cls_loss 0.0294 cls_loss_mapping 0.0497 cls_loss_causal 0.8256 re_mapping 0.0228 re_causal 0.0675 /// teacc 98.58 lr 0.00010000 Epoch 27, weight, value: tensor([[-0.0038, -0.0240, -0.0275, ..., -0.0755, 0.0003, 0.0389], [ 0.0247, 0.0410, 0.0020, ..., 0.0466, -0.0455, -0.0301], [ 0.0243, 0.0296, -0.0302, ..., 0.0108, -0.0594, 0.0064], ..., [-0.0154, -0.0038, 0.0305, ..., -0.0280, 0.0042, 0.0135], [-0.0059, 0.0469, 0.0585, ..., -0.0342, -0.0313, -0.0434], [-0.0390, -0.0013, -0.0667, ..., -0.0177, -0.0194, 0.0122]], device='cuda:0'), grad: tensor([[ 7.3314e-05, 7.9870e-05, 6.1035e-05, ..., 1.4201e-05, -8.0943e-05, -2.1446e-04], [-1.7679e-04, -2.0385e-04, -2.1327e-04, ..., -4.1056e-04, -2.8946e-06, 2.4065e-05], [ 2.0349e-04, 1.9765e-04, 2.0874e-04, ..., 5.4777e-05, 1.5162e-05, 8.0585e-05], ..., [ 4.0889e-04, 4.4632e-04, 2.6417e-04, ..., 1.9968e-04, 1.2733e-05, 3.3927e-04], [-3.0975e-03, -4.1580e-03, -3.4409e-03, ..., -2.7761e-05, -1.3420e-06, -7.6103e-04], [ 1.8139e-03, 2.4090e-03, 2.1343e-03, ..., 4.5717e-05, 1.9908e-05, -7.0035e-06]], device='cuda:0') Epoch 27, bias, value: tensor([ 0.0062, -0.0187, -0.0162, 0.0293, -0.0320, 0.0235, -0.0298, -0.0151, 0.0297, -0.0200], device='cuda:0'), grad: tensor([-4.5627e-05, -1.7953e-04, 4.6706e-04, -4.2009e-04, 4.0603e-04, 2.0409e-03, 8.2016e-05, 1.0691e-03, -6.9847e-03, 3.5706e-03], device='cuda:0') 100 0.0001 changing lr epoch 26, time 214.68, cls_loss 0.0243 cls_loss_mapping 0.0449 cls_loss_causal 0.8386 re_mapping 0.0224 re_causal 0.0679 /// teacc 98.68 lr 0.00010000 Epoch 28, weight, value: tensor([[-4.3355e-03, -2.4791e-02, -2.7566e-02, ..., -7.6454e-02, -3.7999e-05, 3.9317e-02], [ 2.5029e-02, 4.1094e-02, 2.8390e-03, ..., 4.6810e-02, -4.6100e-02, -3.0793e-02], [ 2.4820e-02, 3.0031e-02, -3.0453e-02, ..., 1.0935e-02, -6.0216e-02, 6.0827e-03], ..., [-1.5795e-02, -4.6244e-03, 3.0911e-02, ..., -2.8623e-02, 3.8748e-03, 1.3631e-02], [-6.0238e-03, 4.7136e-02, 5.8948e-02, ..., -3.4919e-02, -3.1793e-02, -4.3988e-02], [-3.9808e-02, -1.0863e-03, -6.7694e-02, ..., -1.8067e-02, -2.0181e-02, 1.2714e-02]], device='cuda:0'), grad: tensor([[ 3.5226e-05, 1.7509e-05, 2.2456e-05, ..., 9.0227e-06, -8.3089e-05, -5.6028e-04], [-1.6499e-04, -3.1042e-04, -1.6117e-04, ..., -2.7108e-04, -2.2590e-05, 3.3855e-05], [ 9.5749e-04, 1.5736e-04, 8.7070e-04, ..., 5.7995e-05, 5.1409e-05, 1.7929e-04], ..., [-1.5478e-03, -7.2658e-05, -1.4200e-03, ..., 1.1158e-04, 7.7546e-05, -4.8168e-06], [-1.8165e-05, -8.6188e-05, 4.3303e-05, ..., 5.9277e-05, 1.1945e-04, 1.4627e-04], [-2.9516e-04, -4.3130e-04, 1.2982e-04, ..., 2.0111e-04, 2.4962e-04, -3.8767e-04]], device='cuda:0') Epoch 28, bias, value: tensor([ 0.0061, -0.0187, -0.0159, 0.0297, -0.0322, 0.0237, -0.0296, -0.0151, 0.0292, -0.0202], device='cuda:0'), grad: tensor([-0.0006, -0.0003, 0.0016, 0.0028, -0.0001, -0.0014, 0.0004, -0.0020, 0.0005, -0.0009], device='cuda:0') 100 0.0001 changing lr epoch 27, time 214.94, cls_loss 0.0235 cls_loss_mapping 0.0425 cls_loss_causal 0.7796 re_mapping 0.0227 re_causal 0.0684 /// teacc 98.57 lr 0.00010000 Epoch 29, weight, value: tensor([[-0.0048, -0.0256, -0.0280, ..., -0.0769, 0.0006, 0.0400], [ 0.0254, 0.0412, 0.0035, ..., 0.0475, -0.0468, -0.0314], [ 0.0247, 0.0302, -0.0312, ..., 0.0105, -0.0606, 0.0058], ..., [-0.0160, -0.0054, 0.0310, ..., -0.0292, 0.0038, 0.0134], [-0.0058, 0.0480, 0.0598, ..., -0.0356, -0.0322, -0.0443], [-0.0406, -0.0014, -0.0687, ..., -0.0189, -0.0204, 0.0134]], device='cuda:0'), grad: tensor([[ 3.7313e-05, 6.6698e-05, 2.0877e-05, ..., 4.9531e-05, -7.5102e-05, -2.1398e-04], [-3.6806e-05, -3.4034e-05, -5.0962e-05, ..., -7.8082e-05, 3.6061e-05, 1.6227e-05], [-2.1820e-03, -5.9605e-05, -1.2083e-03, ..., 3.7432e-05, 3.1650e-05, 1.8641e-05], ..., [ 1.9388e-03, 1.0294e-04, 9.0265e-04, ..., 4.6343e-05, 2.4900e-05, -2.6631e-04], [-4.3869e-04, -6.7091e-04, -3.8242e-04, ..., -4.7636e-04, -2.3043e-04, 5.2780e-05], [ 6.4611e-05, -5.9791e-06, 1.4567e-04, ..., 2.9755e-04, 5.1022e-04, 3.5071e-04]], device='cuda:0') Epoch 29, bias, value: tensor([ 0.0062, -0.0186, -0.0162, 0.0299, -0.0322, 0.0235, -0.0295, -0.0154, 0.0294, -0.0201], device='cuda:0'), grad: tensor([-2.3514e-05, 6.0014e-06, -4.6082e-03, 2.6751e-04, 1.5783e-04, -2.1017e-04, 2.1338e-04, 3.7594e-03, -3.9124e-04, 8.2970e-04], device='cuda:0') 100 0.0001 changing lr epoch 28, time 214.69, cls_loss 0.0241 cls_loss_mapping 0.0435 cls_loss_causal 0.7899 re_mapping 0.0215 re_causal 0.0635 /// teacc 98.52 lr 0.00010000 Epoch 30, weight, value: tensor([[-0.0056, -0.0258, -0.0285, ..., -0.0778, 0.0004, 0.0411], [ 0.0253, 0.0412, 0.0039, ..., 0.0475, -0.0473, -0.0318], [ 0.0251, 0.0306, -0.0317, ..., 0.0109, -0.0610, 0.0055], ..., [-0.0163, -0.0062, 0.0313, ..., -0.0299, 0.0035, 0.0135], [-0.0055, 0.0483, 0.0604, ..., -0.0361, -0.0329, -0.0453], [-0.0415, -0.0015, -0.0698, ..., -0.0196, -0.0210, 0.0139]], device='cuda:0'), grad: tensor([[ 5.3346e-05, 4.3988e-05, 5.5879e-05, ..., 3.2544e-05, 2.5809e-05, -4.8399e-05], [-5.6148e-05, -1.5903e-04, -6.0737e-05, ..., -4.5848e-04, 2.5973e-05, 1.7717e-05], [ 1.4699e-04, 1.0145e-04, 1.9836e-04, ..., 5.5224e-05, 1.2413e-05, 2.8491e-05], ..., [-3.2616e-03, -1.3571e-03, -4.5624e-03, ..., 1.5414e-04, 7.3314e-05, 3.1859e-05], [ 1.8656e-04, 3.1535e-06, 3.1209e-04, ..., 8.7261e-05, 9.1791e-05, 2.2650e-04], [ 1.5678e-03, 4.4894e-04, 1.6584e-03, ..., 4.6706e-04, 2.6250e-04, -5.5075e-04]], device='cuda:0') Epoch 30, bias, value: tensor([ 0.0064, -0.0189, -0.0159, 0.0302, -0.0321, 0.0239, -0.0295, -0.0160, 0.0290, -0.0203], device='cuda:0'), grad: tensor([ 9.4533e-05, 7.7486e-05, 3.5715e-04, 2.7523e-03, -5.4121e-04, 4.0507e-04, 3.9268e-04, -7.1640e-03, 8.5831e-04, 2.7733e-03], device='cuda:0') 100 0.0001 changing lr epoch 29, time 215.02, cls_loss 0.0240 cls_loss_mapping 0.0412 cls_loss_causal 0.7836 re_mapping 0.0216 re_causal 0.0641 /// teacc 98.54 lr 0.00010000 Epoch 31, weight, value: tensor([[-0.0062, -0.0265, -0.0289, ..., -0.0778, 0.0006, 0.0414], [ 0.0255, 0.0417, 0.0043, ..., 0.0480, -0.0480, -0.0321], [ 0.0254, 0.0305, -0.0323, ..., 0.0107, -0.0616, 0.0056], ..., [-0.0155, -0.0068, 0.0326, ..., -0.0302, 0.0032, 0.0140], [-0.0053, 0.0487, 0.0608, ..., -0.0361, -0.0331, -0.0461], [-0.0424, -0.0014, -0.0709, ..., -0.0205, -0.0216, 0.0144]], device='cuda:0'), grad: tensor([[ 5.5164e-05, 5.2154e-05, 3.6210e-05, ..., -6.9797e-05, 2.8467e-04, -5.7369e-05], [ 1.2141e-04, 7.6473e-05, 7.3195e-05, ..., 6.7413e-05, 1.0455e-04, 4.2021e-05], [ 5.0974e-04, 2.6727e-04, 3.5667e-04, ..., 2.4056e-04, 7.6890e-05, 5.4359e-05], ..., [ 1.9944e-04, 5.2512e-05, 8.9228e-05, ..., 8.4460e-05, 1.9282e-05, 6.4135e-05], [-1.1244e-03, -6.2084e-04, -8.8215e-04, ..., -1.3328e-04, 2.7204e-04, 1.6022e-04], [ 1.0125e-05, -1.6413e-03, 1.0800e-04, ..., 6.8188e-05, -4.6849e-05, -4.4708e-03]], device='cuda:0') Epoch 31, bias, value: tensor([ 0.0065, -0.0186, -0.0156, 0.0299, -0.0322, 0.0241, -0.0298, -0.0156, 0.0289, -0.0205], device='cuda:0'), grad: tensor([ 4.8190e-05, 3.2139e-04, 8.9025e-04, 5.3558e-03, 4.7612e-04, 5.9032e-04, -1.1225e-03, 5.3883e-04, -8.6069e-04, -6.2370e-03], device='cuda:0') 100 0.0001 changing lr epoch 30, time 214.88, cls_loss 0.0188 cls_loss_mapping 0.0343 cls_loss_causal 0.7565 re_mapping 0.0203 re_causal 0.0621 /// teacc 98.66 lr 0.00010000 Epoch 32, weight, value: tensor([[-0.0066, -0.0270, -0.0291, ..., -0.0785, 0.0002, 0.0416], [ 0.0257, 0.0420, 0.0047, ..., 0.0483, -0.0482, -0.0324], [ 0.0253, 0.0305, -0.0328, ..., 0.0106, -0.0621, 0.0049], ..., [-0.0156, -0.0077, 0.0330, ..., -0.0305, 0.0032, 0.0140], [-0.0050, 0.0489, 0.0613, ..., -0.0366, -0.0337, -0.0470], [-0.0431, -0.0012, -0.0718, ..., -0.0212, -0.0222, 0.0153]], device='cuda:0'), grad: tensor([[ 8.1122e-05, 3.4499e-04, 9.3043e-05, ..., 6.4945e-04, 1.5318e-04, -1.0061e-03], [-2.1756e-04, -1.6880e-04, -2.0671e-04, ..., -2.0933e-04, 1.5581e-04, 3.5137e-05], [-1.0719e-03, 1.0145e-04, -5.4264e-04, ..., 1.0753e-04, 1.3578e-04, 5.9754e-05], ..., [ 1.0500e-03, 1.5604e-04, 2.7204e-04, ..., 1.2219e-04, 1.1784e-04, -2.6274e-04], [-6.1560e-04, -5.8174e-04, -1.1950e-03, ..., 2.2531e-04, 8.7842e-06, 5.5432e-05], [ 1.6320e-04, 3.0684e-04, 3.6263e-04, ..., 3.3736e-04, 6.5041e-04, 6.2037e-04]], device='cuda:0') Epoch 32, bias, value: tensor([ 0.0063, -0.0185, -0.0162, 0.0301, -0.0323, 0.0246, -0.0297, -0.0154, 0.0287, -0.0205], device='cuda:0'), grad: tensor([-0.0005, -0.0002, -0.0011, 0.0003, 0.0007, 0.0012, -0.0020, 0.0011, -0.0012, 0.0016], device='cuda:0') 100 0.0001 changing lr epoch 31, time 214.69, cls_loss 0.0244 cls_loss_mapping 0.0459 cls_loss_causal 0.7624 re_mapping 0.0191 re_causal 0.0585 /// teacc 98.65 lr 0.00010000 Epoch 33, weight, value: tensor([[-0.0073, -0.0282, -0.0297, ..., -0.0793, -0.0001, 0.0420], [ 0.0254, 0.0418, 0.0045, ..., 0.0483, -0.0486, -0.0327], [ 0.0255, 0.0308, -0.0334, ..., 0.0104, -0.0626, 0.0048], ..., [-0.0155, -0.0082, 0.0337, ..., -0.0314, 0.0026, 0.0140], [-0.0046, 0.0496, 0.0624, ..., -0.0368, -0.0345, -0.0481], [-0.0436, -0.0007, -0.0725, ..., -0.0217, -0.0226, 0.0162]], device='cuda:0'), grad: tensor([[ 3.7700e-05, 3.1590e-04, 1.4178e-05, ..., 1.5898e-03, 2.7618e-03, 1.9395e-04], [-3.6430e-04, -3.0494e-04, -3.6287e-04, ..., -1.8144e-04, 2.0647e-04, 5.6662e-06], [-4.6827e-06, 1.5640e-04, 6.0946e-05, ..., 2.3377e-04, 1.7142e-04, 3.7730e-05], ..., [ 9.9123e-05, 1.6296e-04, 8.4877e-05, ..., 1.3256e-04, 5.0128e-05, 9.6917e-05], [-2.8268e-05, 6.9976e-05, -4.7535e-05, ..., 1.7524e-04, 1.0592e-04, 3.0085e-05], [ 3.7044e-05, -3.7718e-04, 2.9877e-05, ..., -2.3395e-05, -9.3699e-05, -5.4836e-04]], device='cuda:0') Epoch 33, bias, value: tensor([ 0.0060, -0.0189, -0.0163, 0.0301, -0.0323, 0.0245, -0.0294, -0.0153, 0.0286, -0.0200], device='cuda:0'), grad: tensor([ 0.0025, -0.0002, 0.0003, 0.0004, 0.0021, 0.0005, -0.0052, 0.0003, 0.0002, -0.0008], device='cuda:0') 100 0.0001 changing lr epoch 32, time 215.04, cls_loss 0.0163 cls_loss_mapping 0.0285 cls_loss_causal 0.7549 re_mapping 0.0193 re_causal 0.0575 /// teacc 98.34 lr 0.00010000 Epoch 34, weight, value: tensor([[-0.0078, -0.0288, -0.0300, ..., -0.0799, -0.0005, 0.0423], [ 0.0257, 0.0423, 0.0053, ..., 0.0490, -0.0493, -0.0327], [ 0.0258, 0.0309, -0.0343, ..., 0.0108, -0.0632, 0.0045], ..., [-0.0159, -0.0091, 0.0341, ..., -0.0323, 0.0023, 0.0142], [-0.0042, 0.0503, 0.0634, ..., -0.0377, -0.0353, -0.0486], [-0.0445, -0.0005, -0.0734, ..., -0.0224, -0.0231, 0.0166]], device='cuda:0'), grad: tensor([[ 4.2766e-06, -2.0657e-03, 1.3061e-05, ..., -8.7118e-04, -2.4033e-03, -2.7466e-03], [ 5.1290e-05, 1.8609e-04, 2.1368e-05, ..., 1.0151e-04, 1.1832e-04, 6.2108e-05], [-2.4170e-05, 3.9786e-05, 2.1636e-05, ..., 3.9965e-05, 5.6058e-05, 2.4295e-04], ..., [ 3.8773e-05, 5.9187e-05, 4.0606e-06, ..., 3.7372e-05, 4.8757e-05, 9.8944e-05], [ 5.6803e-05, 4.8161e-04, 1.0035e-07, ..., 1.3328e-04, 3.7789e-04, 2.4247e-04], [ 3.4142e-04, 3.2496e-04, 5.5462e-05, ..., 2.0373e-04, 3.4404e-04, 2.4891e-04]], device='cuda:0') Epoch 34, bias, value: tensor([ 0.0058, -0.0187, -0.0164, 0.0302, -0.0324, 0.0242, -0.0292, -0.0151, 0.0288, -0.0203], device='cuda:0'), grad: tensor([-4.9095e-03, 2.4652e-04, 3.2854e-04, -4.9591e-04, -4.3750e-05, 1.1742e-04, 2.8095e-03, 2.1756e-04, 7.5817e-04, 9.7036e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 33---------------------------------------------------- epoch 33, time 231.18, cls_loss 0.0168 cls_loss_mapping 0.0328 cls_loss_causal 0.7739 re_mapping 0.0186 re_causal 0.0582 /// teacc 98.74 lr 0.00010000 Epoch 35, weight, value: tensor([[-0.0083, -0.0293, -0.0305, ..., -0.0803, -0.0009, 0.0429], [ 0.0261, 0.0426, 0.0060, ..., 0.0496, -0.0500, -0.0332], [ 0.0260, 0.0309, -0.0346, ..., 0.0107, -0.0636, 0.0042], ..., [-0.0163, -0.0099, 0.0343, ..., -0.0330, 0.0022, 0.0142], [-0.0040, 0.0509, 0.0639, ..., -0.0384, -0.0356, -0.0484], [-0.0451, -0.0003, -0.0742, ..., -0.0225, -0.0236, 0.0165]], device='cuda:0'), grad: tensor([[ 5.2303e-05, 7.4804e-05, 1.5765e-05, ..., 6.2466e-05, 7.8321e-05, -2.1052e-04], [ 1.4246e-04, 5.9319e-04, 3.0726e-05, ..., 7.4387e-04, 3.8028e-04, 8.3804e-05], [ 7.0047e-04, 1.3614e-04, 8.2791e-05, ..., 7.4744e-05, 5.9694e-05, 5.0575e-05], ..., [ 6.2799e-04, 6.2883e-05, -5.7220e-05, ..., 5.4479e-05, 1.3851e-05, -2.8446e-05], [-6.5899e-04, -6.6566e-04, -4.1080e-04, ..., -1.3614e-04, 1.0514e-04, 8.5294e-05], [ 1.6451e-04, 1.0462e-03, 7.0632e-05, ..., 1.3847e-03, 6.8092e-04, 1.8227e-04]], device='cuda:0') Epoch 35, bias, value: tensor([ 0.0059, -0.0184, -0.0163, 0.0303, -0.0322, 0.0239, -0.0292, -0.0155, 0.0292, -0.0207], device='cuda:0'), grad: tensor([-4.6313e-05, 1.1234e-03, 1.0090e-03, -1.4944e-03, -2.6169e-03, 1.4269e-04, -5.4866e-05, 6.2704e-04, -6.8235e-04, 1.9894e-03], device='cuda:0') 100 0.0001 changing lr epoch 34, time 214.52, cls_loss 0.0177 cls_loss_mapping 0.0322 cls_loss_causal 0.7633 re_mapping 0.0190 re_causal 0.0573 /// teacc 98.47 lr 0.00010000 Epoch 36, weight, value: tensor([[-0.0090, -0.0298, -0.0306, ..., -0.0799, -0.0004, 0.0437], [ 0.0264, 0.0428, 0.0068, ..., 0.0505, -0.0505, -0.0338], [ 0.0267, 0.0309, -0.0349, ..., 0.0105, -0.0641, 0.0037], ..., [-0.0161, -0.0104, 0.0346, ..., -0.0335, 0.0020, 0.0144], [-0.0037, 0.0518, 0.0645, ..., -0.0383, -0.0360, -0.0488], [-0.0459, -0.0003, -0.0749, ..., -0.0232, -0.0241, 0.0169]], device='cuda:0'), grad: tensor([[ 8.1122e-05, 7.1526e-05, 3.9250e-05, ..., 1.3411e-04, 1.0860e-04, -1.5116e-04], [-1.5011e-03, -7.3099e-04, -8.3113e-04, ..., -1.5106e-03, 6.4731e-05, 2.5734e-05], [ 7.7009e-04, 5.4502e-04, 9.3031e-04, ..., 5.9414e-04, 9.8050e-05, 1.2469e-04], ..., [-1.5664e-04, 1.0705e-04, -7.0429e-04, ..., 2.7108e-04, 4.6343e-05, -5.3257e-05], [-3.3975e-04, -2.6083e-04, -1.7774e-04, ..., 5.6839e-04, 9.0778e-05, 6.7532e-05], [ 3.0804e-04, 2.2805e-04, 1.8287e-04, ..., 2.8086e-04, 2.1601e-04, 7.0155e-05]], device='cuda:0') Epoch 36, bias, value: tensor([ 0.0063, -0.0182, -0.0160, 0.0299, -0.0324, 0.0242, -0.0299, -0.0155, 0.0295, -0.0209], device='cuda:0'), grad: tensor([ 9.7156e-05, -1.5726e-03, 1.6537e-03, 1.5717e-03, 2.3127e-04, -7.3576e-04, -8.2541e-04, -6.2180e-04, -7.1001e-04, 9.1124e-04], device='cuda:0') 100 0.0001 changing lr epoch 35, time 214.87, cls_loss 0.0200 cls_loss_mapping 0.0363 cls_loss_causal 0.7911 re_mapping 0.0184 re_causal 0.0553 /// teacc 98.74 lr 0.00010000 Epoch 37, weight, value: tensor([[-9.5998e-03, -3.1228e-02, -3.1322e-02, ..., -8.0318e-02, -2.4818e-05, 4.3616e-02], [ 2.6448e-02, 4.2757e-02, 6.7754e-03, ..., 5.0934e-02, -5.1067e-02, -3.3524e-02], [ 2.6664e-02, 3.0788e-02, -3.5675e-02, ..., 1.0049e-02, -6.4840e-02, 2.8858e-03], ..., [-1.6137e-02, -1.0560e-02, 3.5503e-02, ..., -3.4136e-02, 2.0247e-03, 1.4273e-02], [-3.4047e-03, 5.2185e-02, 6.5332e-02, ..., -3.8659e-02, -3.6651e-02, -5.0084e-02], [-4.6303e-02, 1.9000e-05, -7.5602e-02, ..., -2.3930e-02, -2.4843e-02, 1.8312e-02]], device='cuda:0'), grad: tensor([[ 7.7188e-05, 3.4243e-05, 7.0035e-05, ..., 2.4468e-05, 1.8314e-05, -3.4779e-05], [-1.5408e-05, -2.1100e-04, -5.7817e-05, ..., -3.0375e-04, 1.0923e-05, 7.1041e-06], [ 1.3649e-04, 2.3198e-04, 1.0719e-03, ..., 4.1723e-05, 2.0042e-05, 3.8803e-05], ..., [ 1.0178e-02, -4.7660e-04, 1.0986e-02, ..., 6.8188e-05, 2.1264e-05, -1.0473e-04], [ 6.9094e-04, 1.8764e-04, 9.2506e-04, ..., 2.6464e-04, 3.0947e-04, 3.1650e-05], [ 1.3697e-04, 1.2584e-05, 1.3149e-04, ..., 3.8296e-05, 2.7239e-05, -7.2122e-05]], device='cuda:0') Epoch 37, bias, value: tensor([ 0.0060, -0.0185, -0.0164, 0.0301, -0.0324, 0.0246, -0.0300, -0.0153, 0.0293, -0.0206], device='cuda:0'), grad: tensor([ 1.4198e-04, 1.2837e-05, 7.8678e-04, -2.7466e-02, 3.0828e-04, -8.2970e-04, 1.6975e-04, 2.4887e-02, 1.8702e-03, 1.3423e-04], device='cuda:0') 100 0.0001 changing lr epoch 36, time 215.16, cls_loss 0.0184 cls_loss_mapping 0.0312 cls_loss_causal 0.7204 re_mapping 0.0181 re_causal 0.0518 /// teacc 98.74 lr 0.00010000 Epoch 38, weight, value: tensor([[-1.0111e-02, -3.2068e-02, -3.2052e-02, ..., -8.1040e-02, -1.8171e-04, 4.4021e-02], [ 2.6635e-02, 4.2824e-02, 7.2321e-03, ..., 5.1268e-02, -5.2195e-02, -3.3956e-02], [ 2.7244e-02, 3.1234e-02, -3.6081e-02, ..., 9.9591e-03, -6.5384e-02, 2.3150e-03], ..., [-1.6545e-02, -1.1047e-02, 3.5818e-02, ..., -3.5005e-02, 1.6204e-03, 1.4801e-02], [-3.5565e-03, 5.2415e-02, 6.5866e-02, ..., -3.9234e-02, -3.6967e-02, -5.0758e-02], [-4.6745e-02, -3.0989e-05, -7.6173e-02, ..., -2.4561e-02, -2.5270e-02, 1.8507e-02]], device='cuda:0'), grad: tensor([[ 6.4075e-05, 7.6890e-05, 8.5592e-05, ..., 8.6606e-05, -5.9837e-07, -2.5243e-05], [-1.9226e-03, -1.9588e-03, -2.4624e-03, ..., -3.2120e-03, -2.6375e-05, 2.4348e-05], [ 7.2122e-05, 1.4305e-04, 2.3997e-04, ..., 3.3283e-04, 7.8976e-06, 4.0233e-05], ..., [ 6.0588e-05, 1.3864e-04, -1.1021e-04, ..., 9.9778e-05, 1.7241e-05, -2.0540e-04], [ 8.6260e-04, 8.9931e-04, 1.0433e-03, ..., 1.8082e-03, 1.4775e-05, 6.1154e-05], [ 1.0371e-04, -1.0004e-03, 2.2495e-04, ..., -7.4863e-04, -7.0751e-05, -1.4696e-03]], device='cuda:0') Epoch 38, bias, value: tensor([ 0.0058, -0.0185, -0.0161, 0.0300, -0.0323, 0.0243, -0.0296, -0.0150, 0.0291, -0.0208], device='cuda:0'), grad: tensor([ 0.0001, -0.0034, 0.0003, 0.0004, 0.0026, 0.0005, 0.0005, -0.0002, 0.0013, -0.0021], device='cuda:0') 100 0.0001 changing lr epoch 37, time 215.28, cls_loss 0.0183 cls_loss_mapping 0.0345 cls_loss_causal 0.7599 re_mapping 0.0179 re_causal 0.0532 /// teacc 98.70 lr 0.00010000 Epoch 39, weight, value: tensor([[-0.0107, -0.0330, -0.0322, ..., -0.0815, -0.0002, 0.0443], [ 0.0269, 0.0427, 0.0078, ..., 0.0514, -0.0530, -0.0357], [ 0.0277, 0.0313, -0.0367, ..., 0.0095, -0.0658, 0.0018], ..., [-0.0171, -0.0117, 0.0363, ..., -0.0351, 0.0013, 0.0151], [-0.0034, 0.0527, 0.0666, ..., -0.0400, -0.0374, -0.0519], [-0.0471, 0.0006, -0.0771, ..., -0.0245, -0.0258, 0.0195]], device='cuda:0'), grad: tensor([[ 4.1872e-05, 3.2306e-05, -1.6227e-05, ..., 1.8150e-05, 2.5064e-05, -1.5509e-04], [ 1.0595e-03, 1.7762e-04, -7.3195e-05, ..., 1.4162e-04, 1.9178e-05, 5.3740e-04], [-1.4191e-03, 5.2124e-05, 9.5665e-05, ..., -1.0532e-04, 5.3167e-05, -7.4148e-04], ..., [ 1.0180e-04, 1.0383e-04, -5.3024e-04, ..., 7.0155e-05, 3.1948e-05, 1.4162e-04], [ 1.8811e-04, -1.6129e-04, 4.2692e-06, ..., 1.3936e-04, 5.6982e-04, 2.4486e-04], [ 1.3471e-04, 2.1648e-04, 9.2268e-05, ..., 2.5749e-04, 1.2946e-04, -1.5736e-04]], device='cuda:0') Epoch 39, bias, value: tensor([ 0.0057, -0.0189, -0.0158, 0.0299, -0.0319, 0.0245, -0.0298, -0.0150, 0.0288, -0.0206], device='cuda:0'), grad: tensor([-6.0767e-05, 1.0004e-03, -7.8964e-04, 1.1263e-03, -8.6546e-04, -1.5783e-03, 2.8586e-04, -3.7813e-04, 8.6784e-04, 3.9196e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 38---------------------------------------------------- epoch 38, time 232.66, cls_loss 0.0199 cls_loss_mapping 0.0351 cls_loss_causal 0.7496 re_mapping 0.0177 re_causal 0.0536 /// teacc 98.76 lr 0.00010000 Epoch 40, weight, value: tensor([[-0.0110, -0.0338, -0.0320, ..., -0.0824, -0.0002, 0.0449], [ 0.0269, 0.0424, 0.0081, ..., 0.0509, -0.0535, -0.0374], [ 0.0280, 0.0317, -0.0373, ..., 0.0093, -0.0662, 0.0017], ..., [-0.0169, -0.0117, 0.0366, ..., -0.0358, 0.0008, 0.0152], [-0.0034, 0.0527, 0.0676, ..., -0.0401, -0.0380, -0.0519], [-0.0477, 0.0013, -0.0783, ..., -0.0239, -0.0261, 0.0204]], device='cuda:0'), grad: tensor([[ 7.8297e-04, 1.9932e-03, 3.6865e-05, ..., 7.0810e-04, 9.4473e-05, -8.1211e-06], [-2.4605e-04, -8.9765e-05, -2.4772e-04, ..., -2.5630e-04, 1.2137e-05, -3.1083e-07], [ 1.2302e-04, 1.7965e-04, 1.6797e-04, ..., 1.2922e-04, 2.6047e-05, 8.9034e-06], ..., [ 1.2541e-04, 9.7096e-05, 3.9250e-05, ..., 7.9572e-05, 1.6615e-05, 9.4697e-06], [-1.0338e-03, -2.5215e-03, -1.1855e-04, ..., -8.4734e-04, 1.9789e-04, 7.4387e-05], [ 4.2170e-05, 6.6817e-05, 2.5138e-05, ..., 5.8204e-05, 7.6771e-05, 5.0843e-05]], device='cuda:0') Epoch 40, bias, value: tensor([ 0.0057, -0.0194, -0.0160, 0.0304, -0.0317, 0.0241, -0.0301, -0.0148, 0.0289, -0.0204], device='cuda:0'), grad: tensor([ 0.0036, -0.0003, 0.0002, 0.0002, 0.0001, -0.0003, 0.0002, 0.0003, -0.0043, 0.0002], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 39---------------------------------------------------- epoch 39, time 231.60, cls_loss 0.0163 cls_loss_mapping 0.0324 cls_loss_causal 0.7365 re_mapping 0.0172 re_causal 0.0531 /// teacc 98.79 lr 0.00010000 Epoch 41, weight, value: tensor([[-0.0109, -0.0339, -0.0323, ..., -0.0822, -0.0006, 0.0456], [ 0.0269, 0.0424, 0.0085, ..., 0.0511, -0.0544, -0.0370], [ 0.0283, 0.0317, -0.0378, ..., 0.0092, -0.0666, 0.0015], ..., [-0.0168, -0.0122, 0.0372, ..., -0.0360, 0.0006, 0.0151], [-0.0030, 0.0533, 0.0683, ..., -0.0403, -0.0385, -0.0530], [-0.0489, 0.0010, -0.0797, ..., -0.0246, -0.0267, 0.0206]], device='cuda:0'), grad: tensor([[ 2.0294e-03, 1.0920e-03, 1.2971e-05, ..., 5.7995e-05, 2.0182e-04, 9.9850e-04], [-8.2397e-04, -5.1498e-03, -5.5695e-03, ..., -5.7335e-03, -2.3499e-05, -2.6131e-03], [-2.7122e-03, -2.5868e-04, 4.6134e-05, ..., 6.8367e-05, 3.9935e-05, -3.7241e-04], ..., [ 2.5940e-04, 1.3399e-03, 7.3862e-04, ..., 1.5011e-03, 4.7624e-05, -8.0729e-04], [-6.8009e-05, -7.8964e-04, 2.3472e-04, ..., 2.6155e-04, -9.9778e-05, -6.9094e-04], [ 5.1546e-04, 3.1452e-03, 3.6430e-03, ..., 3.7804e-03, 1.0147e-03, 3.6812e-03]], device='cuda:0') Epoch 41, bias, value: tensor([ 0.0063, -0.0193, -0.0162, 0.0302, -0.0318, 0.0244, -0.0297, -0.0148, 0.0289, -0.0210], device='cuda:0'), grad: tensor([ 0.0055, -0.0098, -0.0040, 0.0006, -0.0006, 0.0002, 0.0002, 0.0006, -0.0023, 0.0097], device='cuda:0') 100 0.0001 changing lr epoch 40, time 215.13, cls_loss 0.0169 cls_loss_mapping 0.0307 cls_loss_causal 0.7116 re_mapping 0.0174 re_causal 0.0520 /// teacc 98.77 lr 0.00010000 Epoch 42, weight, value: tensor([[-0.0116, -0.0346, -0.0328, ..., -0.0826, -0.0010, 0.0460], [ 0.0269, 0.0426, 0.0088, ..., 0.0516, -0.0550, -0.0372], [ 0.0286, 0.0316, -0.0382, ..., 0.0087, -0.0672, 0.0012], ..., [-0.0171, -0.0126, 0.0380, ..., -0.0368, 0.0002, 0.0164], [-0.0027, 0.0537, 0.0689, ..., -0.0410, -0.0390, -0.0544], [-0.0488, 0.0015, -0.0809, ..., -0.0254, -0.0268, 0.0206]], device='cuda:0'), grad: tensor([[ 2.3887e-05, 2.4334e-05, 2.1830e-05, ..., -2.1219e-05, -8.0526e-05, -1.2207e-04], [-3.5787e-04, -4.5466e-04, -7.6866e-04, ..., -5.9843e-04, -4.0280e-08, 3.2224e-06], [-1.6022e-03, -8.1491e-04, -1.1158e-03, ..., 9.9897e-05, 2.0221e-05, 1.7226e-05], ..., [ 1.6994e-03, 1.0672e-03, 1.5249e-03, ..., 3.5405e-04, 5.2527e-06, 1.2077e-05], [ 1.6689e-05, 3.6098e-06, 2.6494e-05, ..., 5.1975e-05, 4.1366e-05, -4.5747e-05], [ 5.2363e-05, 3.4004e-05, 5.2631e-05, ..., 2.0519e-05, 1.8299e-05, 1.6406e-05]], device='cuda:0') Epoch 42, bias, value: tensor([ 0.0060, -0.0193, -0.0161, 0.0298, -0.0317, 0.0243, -0.0297, -0.0141, 0.0289, -0.0211], device='cuda:0'), grad: tensor([-1.3828e-04, -1.0519e-03, -2.2163e-03, 1.2410e-04, 1.2422e-04, 3.8099e-04, -6.1810e-05, 2.6569e-03, 3.8356e-05, 1.4389e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 41---------------------------------------------------- epoch 41, time 231.37, cls_loss 0.0153 cls_loss_mapping 0.0282 cls_loss_causal 0.6977 re_mapping 0.0163 re_causal 0.0505 /// teacc 98.86 lr 0.00010000 Epoch 43, weight, value: tensor([[-0.0120, -0.0356, -0.0334, ..., -0.0834, -0.0008, 0.0462], [ 0.0271, 0.0433, 0.0099, ..., 0.0518, -0.0557, -0.0374], [ 0.0291, 0.0321, -0.0382, ..., 0.0095, -0.0678, 0.0011], ..., [-0.0178, -0.0134, 0.0380, ..., -0.0377, -0.0001, 0.0162], [-0.0024, 0.0538, 0.0691, ..., -0.0418, -0.0393, -0.0545], [-0.0494, 0.0018, -0.0817, ..., -0.0260, -0.0274, 0.0210]], device='cuda:0'), grad: tensor([[ 2.6345e-05, 6.5446e-05, 3.3170e-05, ..., 1.1492e-04, 7.8976e-05, -6.8426e-05], [-2.7442e-04, -1.8942e-04, -3.4308e-04, ..., -6.1941e-04, 1.1124e-05, 1.1124e-05], [ 2.5630e-04, 4.5037e-04, 2.7823e-04, ..., 4.7469e-04, 2.6870e-04, 3.4690e-05], ..., [ 7.4267e-05, 9.3162e-05, -4.7255e-04, ..., -2.1136e-04, -1.8191e-04, -5.4717e-05], [-6.5851e-04, -1.2369e-03, -5.4646e-04, ..., 7.7128e-05, -2.8729e-04, 4.6253e-05], [ 5.7906e-05, 9.7156e-05, 1.8322e-04, ..., 1.3447e-04, 1.0335e-04, 5.1439e-05]], device='cuda:0') Epoch 43, bias, value: tensor([ 0.0060, -0.0191, -0.0157, 0.0304, -0.0322, 0.0239, -0.0295, -0.0145, 0.0289, -0.0213], device='cuda:0'), grad: tensor([ 1.1224e-04, -5.7077e-04, 1.0548e-03, 4.7112e-04, 6.8617e-04, 3.5584e-05, 5.6314e-04, -8.5831e-04, -1.9627e-03, 4.6897e-04], device='cuda:0') 100 0.0001 changing lr epoch 42, time 214.76, cls_loss 0.0154 cls_loss_mapping 0.0299 cls_loss_causal 0.6804 re_mapping 0.0163 re_causal 0.0474 /// teacc 98.85 lr 0.00010000 Epoch 44, weight, value: tensor([[-1.2396e-02, -3.6518e-02, -3.3394e-02, ..., -8.3373e-02, -1.3638e-03, 4.5714e-02], [ 2.6665e-02, 4.2753e-02, 9.6181e-03, ..., 5.2228e-02, -5.6279e-02, -3.7944e-02], [ 2.9197e-02, 3.2610e-02, -3.8158e-02, ..., 9.7132e-03, -6.8514e-02, 4.8080e-04], ..., [-1.7907e-02, -1.3572e-02, 3.8605e-02, ..., -3.8024e-02, -4.6799e-05, 1.6866e-02], [-1.8463e-03, 5.4187e-02, 6.9907e-02, ..., -4.2407e-02, -3.9806e-02, -5.5476e-02], [-5.0160e-02, 2.3720e-03, -8.2402e-02, ..., -2.6779e-02, -2.7807e-02, 2.2074e-02]], device='cuda:0'), grad: tensor([[ 1.5482e-05, 8.3506e-05, 1.9386e-05, ..., 1.5631e-05, 1.4913e-04, -2.8920e-04], [-5.3215e-04, -4.2295e-04, -1.0023e-03, ..., -8.9502e-04, 1.9446e-05, 6.8173e-06], [-1.4877e-04, 5.9247e-05, 1.4186e-04, ..., 2.0802e-04, 1.3307e-05, 1.6820e-04], ..., [ 5.1785e-04, 3.6645e-04, 5.7220e-04, ..., 5.9319e-04, 5.5164e-05, 2.1458e-05], [ 2.9892e-05, -5.5507e-07, 1.4473e-06, ..., 6.8367e-05, 6.2644e-05, 5.5850e-05], [ 6.7115e-05, 1.6248e-04, 5.0753e-05, ..., 3.2401e-04, 2.5058e-04, 6.1989e-06]], device='cuda:0') Epoch 44, bias, value: tensor([ 0.0054, -0.0196, -0.0158, 0.0305, -0.0325, 0.0241, -0.0295, -0.0141, 0.0290, -0.0209], device='cuda:0'), grad: tensor([-1.5390e-04, -1.3065e-03, 2.5702e-04, 1.3804e-04, -5.1594e-04, -1.9252e-04, 2.5500e-06, 1.0881e-03, 1.8573e-04, 4.9686e-04], device='cuda:0') 100 0.0001 changing lr epoch 43, time 214.86, cls_loss 0.0187 cls_loss_mapping 0.0324 cls_loss_causal 0.7650 re_mapping 0.0166 re_causal 0.0485 /// teacc 98.86 lr 0.00010000 Epoch 45, weight, value: tensor([[-0.0136, -0.0380, -0.0341, ..., -0.0840, -0.0016, 0.0461], [ 0.0266, 0.0426, 0.0097, ..., 0.0527, -0.0571, -0.0382], [ 0.0298, 0.0327, -0.0388, ..., 0.0100, -0.0690, 0.0009], ..., [-0.0182, -0.0137, 0.0391, ..., -0.0388, -0.0005, 0.0169], [-0.0016, 0.0548, 0.0710, ..., -0.0430, -0.0409, -0.0564], [-0.0510, 0.0018, -0.0834, ..., -0.0280, -0.0286, 0.0222]], device='cuda:0'), grad: tensor([[ 9.9018e-06, 7.2047e-06, 1.4529e-05, ..., 2.2016e-06, -1.8291e-06, -4.6158e-04], [ 3.6461e-07, 3.9756e-05, 4.8429e-05, ..., -3.6001e-05, 1.7598e-05, 9.0718e-05], [ 1.6010e-04, 1.5831e-04, 5.6553e-04, ..., 1.5348e-05, 1.0893e-05, 3.9190e-05], ..., [-3.3903e-04, -1.7893e-04, -1.2026e-03, ..., 3.0443e-05, 1.8388e-05, 4.6313e-05], [ 1.0151e-04, 2.2864e-04, 3.9053e-04, ..., 3.9190e-05, 4.4525e-05, 2.4843e-04], [-1.5593e-04, -6.8092e-04, 1.1295e-04, ..., 2.3580e-04, 2.2399e-04, -1.3599e-03]], device='cuda:0') Epoch 45, bias, value: tensor([ 0.0048, -0.0198, -0.0153, 0.0306, -0.0322, 0.0245, -0.0294, -0.0140, 0.0287, -0.0215], device='cuda:0'), grad: tensor([-0.0006, 0.0002, 0.0006, 0.0018, -0.0007, 0.0003, 0.0001, -0.0011, 0.0009, -0.0015], device='cuda:0') 100 0.0001 changing lr epoch 44, time 215.12, cls_loss 0.0159 cls_loss_mapping 0.0289 cls_loss_causal 0.7095 re_mapping 0.0163 re_causal 0.0465 /// teacc 98.80 lr 0.00010000 Epoch 46, weight, value: tensor([[-0.0139, -0.0386, -0.0347, ..., -0.0845, -0.0016, 0.0466], [ 0.0270, 0.0425, 0.0101, ..., 0.0529, -0.0575, -0.0390], [ 0.0297, 0.0321, -0.0403, ..., 0.0102, -0.0695, 0.0007], ..., [-0.0181, -0.0137, 0.0402, ..., -0.0390, -0.0009, 0.0166], [-0.0014, 0.0553, 0.0714, ..., -0.0437, -0.0413, -0.0571], [-0.0515, 0.0019, -0.0836, ..., -0.0287, -0.0292, 0.0229]], device='cuda:0'), grad: tensor([[ 3.8773e-05, 3.1531e-05, 3.2187e-06, ..., 2.5317e-05, -5.9032e-04, -1.1950e-03], [ 8.3596e-06, 9.1717e-06, -2.7940e-05, ..., -3.9190e-06, 2.7031e-05, 2.9027e-05], [ 9.2387e-05, 5.3674e-05, 3.0503e-05, ..., 1.0067e-04, 1.8072e-04, 2.9349e-04], ..., [ 5.4628e-05, 9.1076e-05, 2.7776e-05, ..., 9.8944e-05, 9.0420e-05, 1.3709e-04], [-5.1677e-05, -2.6032e-05, -1.8573e-04, ..., 5.2541e-05, 1.4901e-04, 3.9315e-04], [ 6.9082e-05, 6.8784e-05, 1.3225e-05, ..., 1.1885e-04, 2.9063e-04, -3.2043e-04]], device='cuda:0') Epoch 46, bias, value: tensor([ 0.0048, -0.0200, -0.0158, 0.0303, -0.0319, 0.0251, -0.0297, -0.0136, 0.0285, -0.0213], device='cuda:0'), grad: tensor([-2.0370e-03, 1.1426e-04, 9.5510e-04, -9.6703e-04, -2.6631e-04, 6.5041e-04, 4.7898e-04, 4.8089e-04, 6.5231e-04, -6.5982e-05], device='cuda:0') 100 0.0001 changing lr epoch 45, time 215.21, cls_loss 0.0128 cls_loss_mapping 0.0251 cls_loss_causal 0.6841 re_mapping 0.0161 re_causal 0.0475 /// teacc 98.71 lr 0.00010000 Epoch 47, weight, value: tensor([[-1.4242e-02, -3.9043e-02, -3.4831e-02, ..., -8.4665e-02, -1.3678e-03, 4.7049e-02], [ 2.7770e-02, 4.3270e-02, 1.1276e-02, ..., 5.4427e-02, -5.7738e-02, -3.9174e-02], [ 3.0257e-02, 3.2167e-02, -4.0397e-02, ..., 9.3126e-03, -7.0274e-02, -8.2971e-06], ..., [-1.8472e-02, -1.4219e-02, 4.0401e-02, ..., -3.9918e-02, -8.9771e-04, 1.6664e-02], [-2.1364e-03, 5.5181e-02, 7.1218e-02, ..., -4.4232e-02, -4.2041e-02, -5.8093e-02], [-5.2141e-02, 1.7271e-03, -8.4349e-02, ..., -2.9315e-02, -2.9778e-02, 2.3907e-02]], device='cuda:0'), grad: tensor([[ 1.7703e-05, 1.6138e-05, 9.5144e-06, ..., 4.7758e-06, 1.9357e-05, -6.3896e-05], [ 2.7823e-04, 8.1003e-05, 2.3365e-05, ..., 8.9645e-05, 1.2882e-05, 6.0678e-05], [-4.0364e-04, -1.1694e-04, 2.8178e-05, ..., -1.0228e-04, 1.2137e-05, -4.4048e-05], ..., [ 8.5413e-05, 7.5161e-05, -5.0664e-05, ..., 5.0992e-05, 3.5167e-05, 2.3708e-05], [-3.2902e-04, -2.4939e-04, -4.7684e-04, ..., 5.2340e-06, -6.6400e-05, 7.7605e-05], [ 2.6926e-05, -1.2124e-04, 7.4878e-06, ..., 3.3736e-05, 3.1084e-05, -1.6356e-04]], device='cuda:0') Epoch 47, bias, value: tensor([ 0.0049, -0.0192, -0.0159, 0.0304, -0.0322, 0.0249, -0.0291, -0.0138, 0.0277, -0.0212], device='cuda:0'), grad: tensor([-2.8446e-05, 3.0065e-04, -3.2759e-04, 2.4390e-04, 1.8731e-05, 1.9357e-05, 4.3893e-04, 1.0550e-04, -5.4646e-04, -2.2423e-04], device='cuda:0') 100 0.0001 changing lr epoch 46, time 215.21, cls_loss 0.0150 cls_loss_mapping 0.0249 cls_loss_causal 0.6937 re_mapping 0.0156 re_causal 0.0448 /// teacc 98.85 lr 0.00010000 Epoch 48, weight, value: tensor([[-0.0149, -0.0403, -0.0355, ..., -0.0855, -0.0012, 0.0479], [ 0.0280, 0.0432, 0.0119, ..., 0.0547, -0.0580, -0.0401], [ 0.0312, 0.0327, -0.0403, ..., 0.0093, -0.0708, -0.0006], ..., [-0.0191, -0.0149, 0.0404, ..., -0.0409, -0.0013, 0.0168], [-0.0023, 0.0557, 0.0717, ..., -0.0444, -0.0423, -0.0584], [-0.0529, 0.0019, -0.0854, ..., -0.0298, -0.0306, 0.0245]], device='cuda:0'), grad: tensor([[ 1.6615e-05, 5.4359e-05, 9.7305e-06, ..., 6.7651e-05, 1.9765e-04, 8.2135e-05], [-6.8009e-05, 1.6764e-05, -6.9082e-05, ..., 2.8208e-05, 1.4997e-04, 4.6521e-05], [-9.5248e-05, 7.4916e-06, 9.7990e-05, ..., 5.0724e-05, 1.6987e-04, 4.0144e-05], ..., [ 5.1320e-05, 9.1314e-05, 3.6567e-05, ..., 1.0699e-04, 1.0538e-04, 5.7280e-05], [ 2.0683e-05, 5.9366e-05, -2.3589e-05, ..., 1.2350e-04, 3.2306e-04, 2.5272e-04], [ 2.8536e-05, 4.2945e-05, 5.8740e-05, ..., 1.0622e-04, 2.2876e-04, 2.9147e-05]], device='cuda:0') Epoch 48, bias, value: tensor([ 0.0049, -0.0191, -0.0152, 0.0305, -0.0319, 0.0247, -0.0293, -0.0144, 0.0279, -0.0213], device='cuda:0'), grad: tensor([ 0.0003, 0.0001, -0.0002, 0.0006, 0.0004, -0.0018, -0.0006, 0.0003, 0.0007, 0.0003], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 47---------------------------------------------------- epoch 47, time 230.24, cls_loss 0.0102 cls_loss_mapping 0.0188 cls_loss_causal 0.6851 re_mapping 0.0150 re_causal 0.0473 /// teacc 98.91 lr 0.00010000 Epoch 49, weight, value: tensor([[-0.0151, -0.0409, -0.0357, ..., -0.0858, -0.0009, 0.0486], [ 0.0282, 0.0432, 0.0120, ..., 0.0550, -0.0585, -0.0407], [ 0.0310, 0.0325, -0.0409, ..., 0.0089, -0.0714, -0.0013], ..., [-0.0191, -0.0153, 0.0408, ..., -0.0416, -0.0022, 0.0167], [-0.0019, 0.0564, 0.0725, ..., -0.0445, -0.0429, -0.0587], [-0.0539, 0.0021, -0.0865, ..., -0.0302, -0.0298, 0.0253]], device='cuda:0'), grad: tensor([[ 8.1360e-06, 2.2963e-05, 7.3463e-06, ..., 2.7671e-05, 6.6698e-05, 9.4622e-06], [-1.5765e-05, -2.0340e-05, -3.6031e-05, ..., -2.9206e-05, 2.3097e-05, 1.4305e-05], [ 3.7760e-05, 1.6451e-05, 1.7852e-05, ..., 2.9176e-05, 2.3276e-05, 6.9663e-06], ..., [ 3.3855e-05, 2.9683e-05, -2.0186e-07, ..., 2.0310e-05, 1.8492e-05, 1.5628e-06], [-1.1790e-04, 5.6505e-05, -2.1899e-04, ..., 3.9428e-05, 1.5032e-04, 1.8513e-04], [ 4.5657e-05, -1.6308e-04, 3.7640e-05, ..., 3.2306e-05, 6.2466e-05, -1.2052e-04]], device='cuda:0') Epoch 49, bias, value: tensor([ 0.0054, -0.0192, -0.0159, 0.0306, -0.0320, 0.0251, -0.0299, -0.0146, 0.0281, -0.0210], device='cuda:0'), grad: tensor([ 9.1136e-05, 1.5259e-05, 9.7215e-05, 5.7966e-05, 8.4162e-05, -2.8777e-04, -1.3089e-04, 6.2287e-05, 1.1367e-04, -1.0341e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 48---------------------------------------------------- epoch 48, time 231.47, cls_loss 0.0120 cls_loss_mapping 0.0224 cls_loss_causal 0.6668 re_mapping 0.0151 re_causal 0.0438 /// teacc 98.96 lr 0.00010000 Epoch 50, weight, value: tensor([[-0.0156, -0.0417, -0.0361, ..., -0.0861, -0.0016, 0.0485], [ 0.0281, 0.0429, 0.0121, ..., 0.0546, -0.0590, -0.0420], [ 0.0312, 0.0324, -0.0411, ..., 0.0087, -0.0719, -0.0018], ..., [-0.0196, -0.0158, 0.0411, ..., -0.0416, -0.0021, 0.0171], [-0.0013, 0.0572, 0.0733, ..., -0.0442, -0.0434, -0.0589], [-0.0540, 0.0026, -0.0876, ..., -0.0305, -0.0305, 0.0256]], device='cuda:0'), grad: tensor([[ 4.2804e-06, 7.8529e-06, 3.0659e-06, ..., 4.8690e-06, 6.4299e-06, -4.1723e-05], [-5.1171e-05, -7.0274e-05, -1.1063e-04, ..., -1.0401e-04, -6.9067e-06, 3.0790e-06], [ 1.2450e-05, 8.3447e-06, 6.0499e-06, ..., 1.4409e-05, 1.2651e-05, 4.8615e-06], ..., [ 1.9476e-05, 2.9534e-05, 2.1651e-05, ..., 3.9160e-05, 4.1157e-05, 1.4395e-05], [ 2.1458e-05, 3.7402e-05, 2.1175e-05, ..., 2.3931e-05, 6.5267e-05, 3.9965e-05], [ 3.9607e-05, -2.6894e-04, 1.3337e-05, ..., 1.7956e-05, -1.9479e-04, -3.1114e-04]], device='cuda:0') Epoch 50, bias, value: tensor([ 0.0046, -0.0199, -0.0159, 0.0302, -0.0322, 0.0257, -0.0295, -0.0142, 0.0286, -0.0211], device='cuda:0'), grad: tensor([-1.3560e-05, -1.4305e-04, 4.1217e-05, -3.4034e-05, 7.5769e-04, -1.8072e-04, 2.8580e-05, 1.0383e-04, 1.5950e-04, -7.1955e-04], device='cuda:0') 100 0.0001 changing lr epoch 49, time 214.73, cls_loss 0.0110 cls_loss_mapping 0.0231 cls_loss_causal 0.6769 re_mapping 0.0144 re_causal 0.0438 /// teacc 98.85 lr 0.00010000 Epoch 51, weight, value: tensor([[-0.0161, -0.0422, -0.0361, ..., -0.0863, -0.0013, 0.0494], [ 0.0285, 0.0435, 0.0130, ..., 0.0557, -0.0594, -0.0423], [ 0.0316, 0.0328, -0.0414, ..., 0.0087, -0.0724, -0.0021], ..., [-0.0202, -0.0169, 0.0406, ..., -0.0435, -0.0024, 0.0171], [-0.0012, 0.0575, 0.0737, ..., -0.0448, -0.0439, -0.0593], [-0.0549, 0.0026, -0.0888, ..., -0.0311, -0.0310, 0.0258]], device='cuda:0'), grad: tensor([[ 4.1217e-05, 8.1718e-05, 1.5900e-05, ..., 1.5080e-04, 1.6713e-04, -3.3736e-04], [ 1.2028e-04, 7.5102e-05, 1.0151e-04, ..., 1.5192e-05, 2.4438e-05, 1.3582e-05], [-3.1614e-04, -2.3913e-04, -7.9930e-05, ..., 3.4422e-05, 3.1322e-05, 7.0930e-05], ..., [ 1.7023e-04, 1.0014e-04, 3.4496e-06, ..., 1.7375e-05, 5.3376e-05, 6.7055e-05], [-5.1051e-05, -5.5879e-05, -2.5296e-04, ..., -8.8453e-05, 1.0139e-04, 1.1641e-04], [ 5.1737e-05, 9.3281e-06, 2.8327e-05, ..., 1.2405e-05, 2.5010e-04, 1.9014e-04]], device='cuda:0') Epoch 51, bias, value: tensor([ 0.0052, -0.0193, -0.0158, 0.0308, -0.0321, 0.0255, -0.0297, -0.0149, 0.0286, -0.0214], device='cuda:0'), grad: tensor([ 4.8205e-06, 2.3007e-04, -8.8120e-04, -5.4598e-05, 2.8658e-04, -8.1539e-04, -9.4235e-05, 4.3917e-04, 4.4107e-04, 4.4489e-04], device='cuda:0') 100 0.0001 changing lr epoch 50, time 215.03, cls_loss 0.0099 cls_loss_mapping 0.0207 cls_loss_causal 0.6505 re_mapping 0.0143 re_causal 0.0424 /// teacc 98.86 lr 0.00010000 Epoch 52, weight, value: tensor([[-0.0165, -0.0428, -0.0363, ..., -0.0870, -0.0013, 0.0503], [ 0.0286, 0.0435, 0.0129, ..., 0.0559, -0.0599, -0.0426], [ 0.0317, 0.0326, -0.0420, ..., 0.0088, -0.0730, -0.0022], ..., [-0.0197, -0.0169, 0.0419, ..., -0.0431, -0.0021, 0.0169], [-0.0009, 0.0580, 0.0742, ..., -0.0450, -0.0446, -0.0604], [-0.0561, 0.0026, -0.0899, ..., -0.0317, -0.0313, 0.0265]], device='cuda:0'), grad: tensor([[ 2.0301e-04, 1.4746e-04, 2.9832e-05, ..., 2.1875e-05, 8.2374e-05, 6.5744e-05], [-1.5162e-06, -1.2286e-05, -5.8293e-05, ..., -7.1406e-05, 4.0263e-05, 2.0757e-05], [-2.5082e-03, -9.1076e-04, -1.5986e-04, ..., 9.8825e-05, 6.5744e-05, 1.9506e-05], ..., [ 8.5211e-04, 1.1975e-04, -1.3375e-04, ..., 1.7273e-04, 8.2433e-05, -4.7255e-04], [ 4.7255e-04, 2.1529e-04, -9.3579e-05, ..., 3.3230e-05, 6.5625e-05, 4.9710e-05], [ 1.1152e-04, 8.9467e-05, 2.6011e-04, ..., 5.9158e-05, 7.4685e-05, 3.4070e-04]], device='cuda:0') Epoch 52, bias, value: tensor([ 0.0055, -0.0195, -0.0159, 0.0308, -0.0328, 0.0251, -0.0296, -0.0140, 0.0284, -0.0213], device='cuda:0'), grad: tensor([ 4.6229e-04, 5.5104e-05, -3.4904e-03, 1.3523e-03, -3.1495e-04, -9.9301e-05, 1.6456e-06, 5.6458e-04, 8.2397e-04, 6.4611e-04], device='cuda:0') 100 0.0001 changing lr epoch 51, time 215.07, cls_loss 0.0090 cls_loss_mapping 0.0197 cls_loss_causal 0.6784 re_mapping 0.0137 re_causal 0.0434 /// teacc 98.95 lr 0.00010000 Epoch 53, weight, value: tensor([[-0.0170, -0.0432, -0.0368, ..., -0.0875, -0.0009, 0.0508], [ 0.0289, 0.0437, 0.0133, ..., 0.0563, -0.0602, -0.0425], [ 0.0319, 0.0327, -0.0426, ..., 0.0090, -0.0734, -0.0026], ..., [-0.0201, -0.0171, 0.0422, ..., -0.0440, -0.0025, 0.0169], [-0.0008, 0.0582, 0.0747, ..., -0.0456, -0.0451, -0.0612], [-0.0568, 0.0030, -0.0911, ..., -0.0319, -0.0312, 0.0272]], device='cuda:0'), grad: tensor([[ 1.5989e-05, 1.5962e-04, 8.0585e-05, ..., 9.1642e-06, 5.6811e-06, 1.6665e-04], [-2.5058e-04, -1.3435e-04, -1.9765e-04, ..., -2.0564e-04, 8.6576e-06, 2.6822e-05], [-5.9158e-06, 1.5652e-04, 1.5283e-04, ..., 4.0174e-04, 1.9121e-04, -4.0472e-05], ..., [ 1.3721e-04, 1.3757e-04, -2.0772e-05, ..., 4.4286e-05, -2.9159e-04, -4.6253e-04], [ 3.5971e-05, -1.0977e-03, -7.4053e-04, ..., 2.3022e-05, 1.3791e-05, -1.1263e-03], [ 9.5904e-05, 5.0688e-04, 4.8923e-04, ..., -3.6098e-06, 5.5999e-05, 6.2227e-04]], device='cuda:0') Epoch 53, bias, value: tensor([ 0.0056, -0.0193, -0.0158, 0.0310, -0.0328, 0.0251, -0.0302, -0.0140, 0.0281, -0.0211], device='cuda:0'), grad: tensor([ 4.1008e-04, -2.6584e-04, 2.3115e-04, -2.0218e-04, 9.5272e-04, 5.2023e-04, 3.5375e-05, -7.9489e-04, -2.4509e-03, 1.5640e-03], device='cuda:0') 100 0.0001 changing lr epoch 52, time 215.01, cls_loss 0.0088 cls_loss_mapping 0.0171 cls_loss_causal 0.6465 re_mapping 0.0139 re_causal 0.0410 /// teacc 98.94 lr 0.00010000 Epoch 54, weight, value: tensor([[-0.0175, -0.0439, -0.0372, ..., -0.0879, -0.0012, 0.0510], [ 0.0301, 0.0448, 0.0141, ..., 0.0572, -0.0606, -0.0428], [ 0.0313, 0.0316, -0.0437, ..., 0.0080, -0.0740, -0.0028], ..., [-0.0202, -0.0177, 0.0427, ..., -0.0448, -0.0026, 0.0170], [-0.0006, 0.0586, 0.0752, ..., -0.0463, -0.0453, -0.0614], [-0.0575, 0.0029, -0.0921, ..., -0.0327, -0.0315, 0.0277]], device='cuda:0'), grad: tensor([[ 1.0421e-06, 4.6156e-06, 4.9099e-06, ..., 2.2538e-06, -1.6326e-06, -8.9779e-06], [-5.5842e-06, 1.9550e-05, -4.2212e-07, ..., -1.4380e-05, 6.9365e-06, 3.9428e-05], [-2.6124e-07, 4.5709e-06, 1.3866e-05, ..., 4.6939e-06, 3.5204e-06, 9.9987e-06], ..., [ 1.1772e-06, 2.4378e-05, -1.0920e-04, ..., 1.0200e-05, 3.8892e-06, -9.9003e-05], [-2.3794e-04, -3.9315e-04, -5.7554e-04, ..., -3.3188e-04, -2.0492e-04, 7.3969e-05], [ 4.9211e-06, -9.4414e-05, 5.5432e-05, ..., 1.0625e-05, 8.4341e-06, -9.0301e-05]], device='cuda:0') Epoch 54, bias, value: tensor([ 0.0053, -0.0182, -0.0169, 0.0310, -0.0328, 0.0249, -0.0297, -0.0139, 0.0281, -0.0213], device='cuda:0'), grad: tensor([ 5.9558e-07, 3.0756e-05, 2.2307e-05, 3.0965e-05, 5.0604e-05, 6.8843e-05, 3.5977e-04, -1.4400e-04, -3.5071e-04, -6.8486e-05], device='cuda:0') 100 0.0001 changing lr epoch 53, time 215.09, cls_loss 0.0095 cls_loss_mapping 0.0203 cls_loss_causal 0.6717 re_mapping 0.0141 re_causal 0.0407 /// teacc 98.88 lr 0.00010000 Epoch 55, weight, value: tensor([[-0.0177, -0.0441, -0.0373, ..., -0.0880, -0.0017, 0.0512], [ 0.0298, 0.0445, 0.0141, ..., 0.0568, -0.0611, -0.0430], [ 0.0318, 0.0323, -0.0439, ..., 0.0090, -0.0744, -0.0029], ..., [-0.0202, -0.0181, 0.0432, ..., -0.0453, -0.0028, 0.0166], [-0.0005, 0.0588, 0.0755, ..., -0.0468, -0.0459, -0.0625], [-0.0581, 0.0032, -0.0925, ..., -0.0332, -0.0318, 0.0285]], device='cuda:0'), grad: tensor([[ 5.5730e-06, 1.3947e-05, 4.8839e-06, ..., 7.9349e-06, 3.7979e-06, -1.9133e-05], [-1.3128e-05, 2.6263e-06, -1.9297e-05, ..., -8.2105e-06, 2.0117e-05, 5.7071e-06], [ 2.0146e-05, 3.3915e-05, 5.8591e-05, ..., 2.2978e-05, 1.6093e-05, 6.1333e-05], ..., [-7.2792e-06, 3.1650e-05, -9.9361e-05, ..., 3.4273e-05, 2.3782e-05, -1.2147e-04], [-9.1851e-05, -1.3900e-04, -5.8532e-05, ..., 1.2055e-05, 2.7865e-05, 8.0094e-06], [ 5.0783e-05, 7.3671e-05, 5.5194e-05, ..., 1.8924e-05, 2.3231e-05, 4.3094e-05]], device='cuda:0') Epoch 55, bias, value: tensor([ 0.0053, -0.0189, -0.0162, 0.0310, -0.0327, 0.0250, -0.0297, -0.0139, 0.0276, -0.0211], device='cuda:0'), grad: tensor([ 2.6766e-06, 4.1425e-06, 1.7011e-04, -1.7852e-05, -9.8825e-05, -3.1114e-05, 8.5533e-05, -1.9777e-04, -9.8884e-05, 1.8144e-04], device='cuda:0') 100 0.0001 changing lr epoch 54, time 215.40, cls_loss 0.0094 cls_loss_mapping 0.0190 cls_loss_causal 0.6525 re_mapping 0.0140 re_causal 0.0430 /// teacc 98.83 lr 0.00010000 Epoch 56, weight, value: tensor([[-0.0180, -0.0446, -0.0375, ..., -0.0881, -0.0017, 0.0514], [ 0.0299, 0.0442, 0.0146, ..., 0.0565, -0.0619, -0.0441], [ 0.0317, 0.0320, -0.0448, ..., 0.0087, -0.0748, -0.0033], ..., [-0.0202, -0.0186, 0.0436, ..., -0.0458, -0.0032, 0.0163], [-0.0006, 0.0589, 0.0758, ..., -0.0471, -0.0464, -0.0633], [-0.0584, 0.0033, -0.0931, ..., -0.0331, -0.0321, 0.0290]], device='cuda:0'), grad: tensor([[ 1.7658e-05, 4.4294e-06, 2.4825e-05, ..., 6.5565e-06, -4.6223e-05, -1.5330e-04], [ 1.3113e-03, -1.1258e-05, 3.9558e-03, ..., -1.7032e-05, 1.2398e-05, 8.3828e-04], [-9.7811e-05, 8.1733e-06, -2.4345e-06, ..., 1.0654e-05, 1.1079e-05, -2.8402e-05], ..., [-1.4963e-03, 2.5705e-05, -4.8370e-03, ..., 3.4958e-05, 3.2544e-05, -1.0433e-03], [ 7.0035e-05, 1.6332e-05, 1.6093e-04, ..., 1.1444e-05, 3.6985e-05, 1.0997e-04], [ 4.6283e-05, 1.9148e-05, 2.8896e-04, ..., 1.0115e-04, 1.4746e-04, 2.7597e-05]], device='cuda:0') Epoch 56, bias, value: tensor([ 0.0052, -0.0192, -0.0169, 0.0311, -0.0318, 0.0258, -0.0296, -0.0138, 0.0272, -0.0212], device='cuda:0'), grad: tensor([-1.1939e-04, 4.7112e-03, -1.2684e-04, 5.5647e-04, -2.2113e-04, 2.7800e-07, 3.0413e-05, -5.8022e-03, 3.3665e-04, 6.3467e-04], device='cuda:0') 100 0.0001 changing lr epoch 55, time 215.01, cls_loss 0.0095 cls_loss_mapping 0.0207 cls_loss_causal 0.6416 re_mapping 0.0134 re_causal 0.0387 /// teacc 98.95 lr 0.00010000 Epoch 57, weight, value: tensor([[-1.8379e-02, -4.5490e-02, -3.7972e-02, ..., -8.8597e-02, -1.7580e-03, 5.1718e-02], [ 3.0103e-02, 4.4690e-02, 1.4979e-02, ..., 5.7536e-02, -6.2475e-02, -4.4123e-02], [ 3.1884e-02, 3.2076e-02, -4.5331e-02, ..., 8.2651e-03, -7.5247e-02, -3.5751e-03], ..., [-2.0220e-02, -1.9835e-02, 4.3834e-02, ..., -4.6941e-02, -3.3882e-03, 1.6225e-02], [-8.5864e-05, 5.9917e-02, 7.7632e-02, ..., -4.7578e-02, -4.6818e-02, -6.3885e-02], [-5.9354e-02, 3.4117e-03, -9.5307e-02, ..., -3.4152e-02, -3.2611e-02, 2.9759e-02]], device='cuda:0'), grad: tensor([[ 2.0713e-05, 2.6330e-05, 1.9252e-05, ..., 1.9595e-05, 2.1666e-05, -4.4107e-05], [-4.0817e-04, -2.5463e-04, -4.1270e-04, ..., -4.0603e-04, 1.7226e-05, 7.7546e-05], [ 1.4529e-05, 2.2009e-05, 1.0943e-04, ..., 2.0337e-04, 5.7787e-05, 3.5256e-05], ..., [ 1.9741e-04, 2.0361e-04, 1.6689e-04, ..., 1.7309e-04, 3.1382e-05, 3.5596e-04], [ 9.3699e-05, 5.5981e-04, 1.8227e-04, ..., 4.6939e-05, 1.1009e-04, 5.9414e-04], [ 2.3365e-05, -6.5231e-04, -1.5998e-04, ..., 2.4974e-05, 4.6760e-05, -1.1072e-03]], device='cuda:0') Epoch 57, bias, value: tensor([ 0.0051, -0.0190, -0.0172, 0.0310, -0.0320, 0.0253, -0.0295, -0.0138, 0.0280, -0.0214], device='cuda:0'), grad: tensor([ 3.1918e-05, -4.5896e-04, 7.9453e-05, 1.1885e-04, 1.7273e-04, -6.0606e-04, 3.1090e-04, 9.8324e-04, 1.1129e-03, -1.7471e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 56---------------------------------------------------- epoch 56, time 231.81, cls_loss 0.0073 cls_loss_mapping 0.0154 cls_loss_causal 0.6423 re_mapping 0.0132 re_causal 0.0395 /// teacc 98.99 lr 0.00010000 Epoch 58, weight, value: tensor([[-0.0186, -0.0459, -0.0382, ..., -0.0889, -0.0017, 0.0521], [ 0.0303, 0.0448, 0.0153, ..., 0.0580, -0.0629, -0.0446], [ 0.0323, 0.0321, -0.0453, ..., 0.0079, -0.0757, -0.0037], ..., [-0.0208, -0.0205, 0.0439, ..., -0.0474, -0.0036, 0.0161], [ 0.0001, 0.0601, 0.0780, ..., -0.0478, -0.0477, -0.0649], [-0.0596, 0.0040, -0.0959, ..., -0.0346, -0.0329, 0.0304]], device='cuda:0'), grad: tensor([[-7.1168e-05, -1.5473e-04, -3.7372e-05, ..., 6.7167e-06, 1.6227e-05, -3.7050e-04], [ 1.1422e-05, -1.6347e-05, -2.4512e-05, ..., -3.3140e-05, 9.9614e-06, 3.2902e-05], [ 1.0616e-04, 1.1081e-04, 5.3376e-05, ..., 1.3053e-05, 1.6734e-05, 1.2207e-04], ..., [ 4.2588e-05, 1.1481e-05, -6.4731e-05, ..., 9.5740e-06, 6.8545e-06, 3.3706e-05], [-5.3227e-05, -1.4916e-05, -4.6164e-05, ..., 1.6555e-05, 5.3525e-05, 1.2207e-04], [ 4.7833e-05, -2.4438e-04, 6.1750e-05, ..., 7.7784e-06, -4.3839e-05, -2.5606e-04]], device='cuda:0') Epoch 58, bias, value: tensor([ 0.0054, -0.0191, -0.0168, 0.0310, -0.0320, 0.0256, -0.0297, -0.0143, 0.0277, -0.0211], device='cuda:0'), grad: tensor([-5.0020e-04, 1.2147e-04, 4.1151e-04, -8.3399e-04, 3.9387e-04, 3.7050e-04, -1.7002e-05, 1.5700e-04, 2.8896e-04, -3.9196e-04], device='cuda:0') 100 0.0001 changing lr epoch 57, time 215.21, cls_loss 0.0107 cls_loss_mapping 0.0213 cls_loss_causal 0.6895 re_mapping 0.0129 re_causal 0.0401 /// teacc 98.89 lr 0.00010000 Epoch 59, weight, value: tensor([[-1.9487e-02, -4.7681e-02, -3.8944e-02, ..., -9.0730e-02, -2.3453e-03, 5.2544e-02], [ 3.0224e-02, 4.5037e-02, 1.5254e-02, ..., 5.8157e-02, -6.3600e-02, -4.4661e-02], [ 3.3061e-02, 3.2428e-02, -4.5605e-02, ..., 8.2104e-03, -7.6339e-02, -4.1266e-03], ..., [-2.0608e-02, -1.9524e-02, 4.5335e-02, ..., -4.7856e-02, -3.8880e-03, 1.6375e-02], [ 9.5812e-05, 5.9923e-02, 7.8367e-02, ..., -4.8292e-02, -4.8293e-02, -6.5755e-02], [-6.0527e-02, 3.9531e-03, -9.7806e-02, ..., -3.5054e-02, -3.3623e-02, 3.0858e-02]], device='cuda:0'), grad: tensor([[ 9.3207e-06, 1.8016e-05, 1.0006e-05, ..., 1.0647e-05, 3.6180e-05, -2.4006e-05], [ 5.3704e-05, 1.0931e-04, 1.9777e-04, ..., 1.9044e-05, 3.5882e-05, 2.7612e-05], [ 5.2482e-05, 3.1471e-05, 5.8144e-05, ..., 3.9369e-05, 5.8770e-05, 3.6985e-05], ..., [-1.7866e-05, -6.4254e-05, -2.8872e-04, ..., 8.0615e-06, 4.1932e-05, -2.5600e-05], [-1.0204e-04, -6.8188e-05, -1.9038e-04, ..., 1.1349e-04, 4.8184e-04, 3.0756e-04], [ 7.0035e-05, 8.4460e-05, 9.3341e-05, ..., 8.5294e-05, 2.7919e-04, 1.9169e-04]], device='cuda:0') Epoch 59, bias, value: tensor([ 0.0050, -0.0191, -0.0159, 0.0308, -0.0321, 0.0255, -0.0295, -0.0139, 0.0273, -0.0214], device='cuda:0'), grad: tensor([ 4.1634e-05, 3.3689e-04, 1.9610e-04, 3.8910e-04, 3.5572e-04, -3.0289e-03, 9.4652e-04, -3.0661e-04, 4.6134e-04, 6.0463e-04], device='cuda:0') 100 0.0001 changing lr epoch 58, time 214.59, cls_loss 0.0089 cls_loss_mapping 0.0195 cls_loss_causal 0.6592 re_mapping 0.0126 re_causal 0.0395 /// teacc 98.89 lr 0.00010000 Epoch 60, weight, value: tensor([[-0.0204, -0.0484, -0.0397, ..., -0.0920, -0.0028, 0.0531], [ 0.0310, 0.0456, 0.0166, ..., 0.0584, -0.0643, -0.0449], [ 0.0331, 0.0324, -0.0463, ..., 0.0080, -0.0772, -0.0047], ..., [-0.0213, -0.0204, 0.0451, ..., -0.0482, -0.0043, 0.0162], [ 0.0001, 0.0602, 0.0789, ..., -0.0491, -0.0494, -0.0667], [-0.0617, 0.0041, -0.0994, ..., -0.0353, -0.0345, 0.0313]], device='cuda:0'), grad: tensor([[ 1.8273e-06, 1.3247e-05, 5.6811e-06, ..., 1.1273e-05, 2.4781e-05, 4.0121e-06], [-5.6736e-06, -2.1178e-06, 3.0976e-06, ..., -5.8040e-06, 7.5847e-06, 9.2015e-06], [-4.3027e-06, 2.6867e-05, 8.9630e-06, ..., 4.4517e-07, 9.6336e-06, 3.8743e-05], ..., [ 3.8017e-06, 5.6960e-06, -6.7234e-05, ..., 6.1430e-06, 6.9365e-06, -7.0930e-05], [ 1.1340e-05, 1.4400e-04, 4.0621e-05, ..., 9.7096e-05, 3.8123e-04, 2.9778e-04], [-5.3160e-06, -2.0385e-04, 2.3022e-05, ..., -2.6941e-05, -4.7415e-05, -1.9753e-04]], device='cuda:0') Epoch 60, bias, value: tensor([ 0.0048, -0.0183, -0.0161, 0.0310, -0.0323, 0.0267, -0.0300, -0.0145, 0.0268, -0.0216], device='cuda:0'), grad: tensor([ 2.6330e-05, 1.1817e-05, 4.7922e-05, -2.7463e-05, 2.4509e-04, -9.6416e-04, 5.7793e-04, -7.4148e-05, 4.4417e-04, -2.8682e-04], device='cuda:0') 100 0.0001 changing lr epoch 59, time 215.11, cls_loss 0.0069 cls_loss_mapping 0.0150 cls_loss_causal 0.6185 re_mapping 0.0123 re_causal 0.0392 /// teacc 98.91 lr 0.00010000 Epoch 61, weight, value: tensor([[-0.0206, -0.0488, -0.0400, ..., -0.0922, -0.0027, 0.0537], [ 0.0309, 0.0453, 0.0167, ..., 0.0581, -0.0648, -0.0455], [ 0.0333, 0.0322, -0.0469, ..., 0.0081, -0.0778, -0.0048], ..., [-0.0214, -0.0203, 0.0451, ..., -0.0488, -0.0044, 0.0157], [ 0.0003, 0.0604, 0.0791, ..., -0.0497, -0.0500, -0.0678], [-0.0621, 0.0044, -0.0999, ..., -0.0355, -0.0348, 0.0320]], device='cuda:0'), grad: tensor([[ 3.0603e-06, 9.4697e-06, 3.2578e-06, ..., 4.9695e-06, 5.4613e-06, -8.0019e-06], [-3.0577e-05, -4.8161e-05, -6.9439e-05, ..., -5.2691e-05, 3.6117e-06, 3.0585e-06], [ 3.6322e-06, -2.5090e-06, 1.2964e-05, ..., 5.3421e-06, 3.9227e-06, 3.7048e-06], ..., [ 4.9919e-06, 1.9148e-05, -3.4779e-05, ..., 5.4054e-06, 2.2929e-06, 3.7253e-06], [-6.4969e-06, 2.8443e-04, 5.3823e-05, ..., 1.9953e-05, 3.9697e-05, 1.6904e-04], [ 1.7926e-05, -3.4118e-04, -4.7356e-05, ..., 4.1053e-06, 4.8131e-06, -1.6785e-04]], device='cuda:0') Epoch 61, bias, value: tensor([ 0.0050, -0.0188, -0.0161, 0.0318, -0.0324, 0.0268, -0.0297, -0.0150, 0.0265, -0.0215], device='cuda:0'), grad: tensor([ 2.4661e-06, -5.8591e-05, 2.1383e-05, -1.0066e-05, 5.8234e-05, -1.4782e-04, 1.4961e-04, -3.8743e-06, 5.6791e-04, -5.7840e-04], device='cuda:0') 100 0.0001 changing lr epoch 60, time 214.90, cls_loss 0.0097 cls_loss_mapping 0.0215 cls_loss_causal 0.6051 re_mapping 0.0127 re_causal 0.0363 /// teacc 98.72 lr 0.00010000 Epoch 62, weight, value: tensor([[-0.0214, -0.0497, -0.0405, ..., -0.0941, -0.0035, 0.0532], [ 0.0316, 0.0457, 0.0176, ..., 0.0589, -0.0650, -0.0460], [ 0.0334, 0.0321, -0.0482, ..., 0.0078, -0.0783, -0.0058], ..., [-0.0218, -0.0202, 0.0455, ..., -0.0490, -0.0048, 0.0160], [ 0.0011, 0.0611, 0.0801, ..., -0.0508, -0.0503, -0.0681], [-0.0631, 0.0041, -0.1014, ..., -0.0358, -0.0352, 0.0329]], device='cuda:0'), grad: tensor([[ 5.7705e-06, 8.0764e-06, 4.8801e-06, ..., 2.5332e-06, -3.3388e-07, -2.2560e-05], [-4.9882e-06, -9.2899e-07, -2.2382e-05, ..., -3.6627e-05, 5.6848e-06, 5.4762e-07], [ 6.3300e-05, 5.9158e-05, 1.0937e-04, ..., 1.0081e-05, 1.8790e-05, 1.9446e-06], ..., [ 9.3505e-06, 2.0063e-04, 3.4451e-05, ..., 1.7083e-04, 1.3340e-04, 1.2498e-06], [-9.9659e-05, -6.4194e-05, -1.0860e-04, ..., 2.6166e-05, 6.7055e-05, 2.9728e-06], [ 1.3359e-05, 6.5744e-05, 3.8236e-05, ..., 5.0753e-05, 4.4912e-05, 1.2152e-05]], device='cuda:0') Epoch 62, bias, value: tensor([ 0.0040, -0.0187, -0.0164, 0.0314, -0.0325, 0.0273, -0.0299, -0.0145, 0.0272, -0.0217], device='cuda:0'), grad: tensor([-3.2131e-06, -1.0498e-05, 1.4985e-04, 1.8537e-04, -5.3406e-04, -4.2224e-04, 2.1672e-04, 3.2091e-04, -4.4823e-05, 1.4150e-04], device='cuda:0') 100 0.0001 changing lr epoch 61, time 214.95, cls_loss 0.0127 cls_loss_mapping 0.0220 cls_loss_causal 0.6529 re_mapping 0.0139 re_causal 0.0366 /// teacc 98.75 lr 0.00010000 Epoch 63, weight, value: tensor([[-0.0224, -0.0508, -0.0415, ..., -0.0945, -0.0040, 0.0526], [ 0.0310, 0.0454, 0.0175, ..., 0.0590, -0.0653, -0.0467], [ 0.0338, 0.0322, -0.0488, ..., 0.0077, -0.0793, -0.0065], ..., [-0.0221, -0.0203, 0.0465, ..., -0.0496, -0.0050, 0.0167], [ 0.0020, 0.0620, 0.0810, ..., -0.0512, -0.0513, -0.0692], [-0.0645, 0.0040, -0.1032, ..., -0.0364, -0.0352, 0.0341]], device='cuda:0'), grad: tensor([[-3.4213e-05, -8.6248e-05, -2.4751e-05, ..., 4.7088e-06, 1.1148e-06, -2.0540e-04], [-3.0845e-05, -1.8761e-05, -2.7359e-05, ..., -4.8369e-05, 7.3612e-06, 2.7090e-05], [ 6.8486e-05, 6.7890e-05, 8.1420e-05, ..., 9.7379e-06, 1.3329e-05, 1.2124e-04], ..., [-2.5177e-04, 1.5378e-05, -5.7602e-04, ..., 1.3843e-05, 5.2676e-06, -9.8407e-05], [ 1.6257e-05, 2.4587e-06, -3.5781e-06, ..., 1.1258e-05, 1.3947e-04, 1.7035e-04], [ 4.3988e-05, 1.9342e-05, 6.7651e-05, ..., 5.4948e-06, 1.8626e-05, 5.1320e-05]], device='cuda:0') Epoch 63, bias, value: tensor([ 0.0029, -0.0194, -0.0167, 0.0328, -0.0325, 0.0276, -0.0303, -0.0142, 0.0273, -0.0219], device='cuda:0'), grad: tensor([-2.4509e-04, 1.0081e-05, 2.8372e-04, 7.6914e-04, 6.6340e-05, -9.1493e-05, -2.0242e-04, -1.1425e-03, 3.5810e-04, 1.9324e-04], device='cuda:0') 100 0.0001 changing lr epoch 62, time 214.98, cls_loss 0.0088 cls_loss_mapping 0.0179 cls_loss_causal 0.6209 re_mapping 0.0132 re_causal 0.0372 /// teacc 98.97 lr 0.00010000 Epoch 64, weight, value: tensor([[-0.0227, -0.0526, -0.0405, ..., -0.0941, -0.0042, 0.0519], [ 0.0315, 0.0455, 0.0179, ..., 0.0594, -0.0664, -0.0470], [ 0.0337, 0.0318, -0.0498, ..., 0.0069, -0.0799, -0.0067], ..., [-0.0222, -0.0207, 0.0472, ..., -0.0507, -0.0056, 0.0179], [ 0.0022, 0.0624, 0.0815, ..., -0.0515, -0.0516, -0.0699], [-0.0646, 0.0043, -0.1049, ..., -0.0370, -0.0356, 0.0350]], device='cuda:0'), grad: tensor([[ 1.4067e-05, 4.8205e-06, 7.6964e-06, ..., 3.8370e-06, -2.7850e-05, -1.8609e-04], [-1.5378e-04, -8.3923e-05, -2.3675e-04, ..., -2.0361e-04, 3.1851e-06, 8.6576e-06], [ 4.9531e-05, 6.4038e-06, -1.4037e-05, ..., 3.3677e-05, 4.6417e-06, 4.7117e-05], ..., [ 3.5191e-04, 1.2177e-04, 1.0920e-04, ..., 9.7513e-05, 1.6317e-05, 9.0003e-05], [ 1.8084e-04, 6.6519e-05, 6.5088e-05, ..., 4.0859e-05, 9.2238e-06, 4.1008e-05], [-1.6928e-05, -3.5453e-04, 1.2204e-05, ..., -5.3674e-05, -8.1062e-05, -3.3498e-04]], device='cuda:0') Epoch 64, bias, value: tensor([ 0.0025, -0.0193, -0.0170, 0.0323, -0.0326, 0.0274, -0.0298, -0.0135, 0.0274, -0.0219], device='cuda:0'), grad: tensor([-1.9133e-04, -2.4891e-04, 2.1958e-04, -5.4502e-04, 5.2309e-04, 1.2100e-04, 5.5641e-05, 6.5613e-04, 3.1805e-04, -9.0933e-04], device='cuda:0') 100 0.0001 changing lr epoch 63, time 215.14, cls_loss 0.0062 cls_loss_mapping 0.0130 cls_loss_causal 0.6330 re_mapping 0.0121 re_causal 0.0380 /// teacc 98.95 lr 0.00010000 Epoch 65, weight, value: tensor([[-0.0226, -0.0527, -0.0407, ..., -0.0930, -0.0033, 0.0529], [ 0.0321, 0.0459, 0.0186, ..., 0.0603, -0.0668, -0.0474], [ 0.0338, 0.0318, -0.0501, ..., 0.0065, -0.0804, -0.0074], ..., [-0.0226, -0.0212, 0.0474, ..., -0.0512, -0.0058, 0.0177], [ 0.0023, 0.0627, 0.0817, ..., -0.0519, -0.0517, -0.0705], [-0.0649, 0.0047, -0.1052, ..., -0.0375, -0.0361, 0.0355]], device='cuda:0'), grad: tensor([[ 9.8124e-06, 1.4611e-05, 7.7710e-06, ..., 1.7777e-05, 1.8388e-05, -3.2689e-07], [-2.1562e-05, 5.3458e-07, -2.1517e-05, ..., 3.9972e-06, 3.5018e-05, 1.2554e-05], [ 1.3016e-05, 4.3571e-05, 5.8681e-05, ..., 2.6360e-05, 1.5333e-05, 9.2462e-06], ..., [-8.6725e-05, 5.3495e-05, -1.9503e-04, ..., 6.9439e-05, 4.9263e-05, -6.7316e-06], [-7.2420e-05, -9.4235e-05, -9.2745e-05, ..., 4.2439e-05, 2.2158e-05, 5.9791e-06], [ 6.1214e-05, 6.3848e-04, 6.9618e-05, ..., 1.0576e-03, 7.8630e-04, 2.9063e-04]], device='cuda:0') Epoch 65, bias, value: tensor([ 0.0039, -0.0189, -0.0173, 0.0319, -0.0329, 0.0268, -0.0298, -0.0137, 0.0273, -0.0215], device='cuda:0'), grad: tensor([ 4.9680e-05, 6.3598e-05, 1.4746e-04, 1.6820e-04, -1.8950e-03, 1.0175e-04, -1.1873e-04, -3.0851e-04, -8.3566e-05, 1.8740e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 64---------------------------------------------------- epoch 64, time 231.92, cls_loss 0.0089 cls_loss_mapping 0.0174 cls_loss_causal 0.6318 re_mapping 0.0115 re_causal 0.0345 /// teacc 99.01 lr 0.00010000 Epoch 66, weight, value: tensor([[-0.0228, -0.0529, -0.0407, ..., -0.0928, -0.0035, 0.0531], [ 0.0323, 0.0457, 0.0195, ..., 0.0601, -0.0673, -0.0483], [ 0.0358, 0.0331, -0.0498, ..., 0.0068, -0.0812, -0.0085], ..., [-0.0231, -0.0218, 0.0473, ..., -0.0527, -0.0064, 0.0174], [ 0.0007, 0.0625, 0.0816, ..., -0.0521, -0.0521, -0.0709], [-0.0650, 0.0041, -0.1057, ..., -0.0382, -0.0365, 0.0368]], device='cuda:0'), grad: tensor([[ 4.0740e-05, 2.6301e-05, 4.9546e-06, ..., 2.4170e-05, 2.5108e-05, -8.7202e-05], [-2.2892e-06, 2.6356e-06, -1.6525e-05, ..., 6.8545e-05, 3.5346e-05, -1.0207e-06], [ 4.7827e-04, 1.0633e-03, 9.5892e-04, ..., 2.0206e-05, 1.0118e-05, -4.6730e-05], ..., [ 1.5223e-04, 9.7871e-05, 4.9621e-05, ..., 1.7738e-04, 6.2108e-05, 6.1616e-06], [-7.3242e-04, -1.1358e-03, -1.0481e-03, ..., 1.9282e-05, 2.5988e-05, 6.6698e-05], [ 3.3557e-05, -6.5081e-06, 2.4810e-05, ..., 8.7380e-05, 3.6448e-05, 1.3500e-05]], device='cuda:0') Epoch 66, bias, value: tensor([ 0.0041, -0.0189, -0.0165, 0.0316, -0.0321, 0.0269, -0.0299, -0.0142, 0.0265, -0.0213], device='cuda:0'), grad: tensor([ 2.9311e-05, 1.5390e-04, 1.5202e-03, 4.8690e-06, -6.2609e-04, 1.1754e-04, -6.2466e-05, 6.2656e-04, -1.9817e-03, 2.1744e-04], device='cuda:0') 100 0.0001 changing lr epoch 65, time 214.96, cls_loss 0.0062 cls_loss_mapping 0.0109 cls_loss_causal 0.6301 re_mapping 0.0119 re_causal 0.0361 /// teacc 98.98 lr 0.00010000 Epoch 67, weight, value: tensor([[-0.0231, -0.0531, -0.0411, ..., -0.0932, -0.0031, 0.0538], [ 0.0324, 0.0458, 0.0196, ..., 0.0605, -0.0676, -0.0485], [ 0.0361, 0.0330, -0.0508, ..., 0.0066, -0.0818, -0.0086], ..., [-0.0229, -0.0218, 0.0480, ..., -0.0532, -0.0067, 0.0173], [ 0.0008, 0.0627, 0.0821, ..., -0.0526, -0.0527, -0.0718], [-0.0655, 0.0039, -0.1067, ..., -0.0393, -0.0376, 0.0370]], device='cuda:0'), grad: tensor([[ 6.6049e-06, 4.2953e-06, 4.1239e-06, ..., 1.8515e-06, 2.1160e-06, 6.0303e-07], [ 1.9968e-06, 3.9488e-06, -3.2019e-06, ..., -2.4904e-06, 9.1642e-06, 2.0135e-06], [ 5.6237e-05, 3.3379e-05, 2.6971e-05, ..., 3.1423e-06, 2.2016e-06, 4.4890e-06], ..., [ 6.9797e-05, 3.5167e-05, -1.9684e-05, ..., 3.5822e-05, 2.3365e-05, -1.1936e-05], [-6.5625e-05, -7.5758e-05, -2.9996e-05, ..., 5.3942e-06, 1.1221e-05, 1.3495e-06], [ 1.7121e-05, 9.0957e-05, 3.0905e-05, ..., 1.5688e-04, 1.6701e-04, 1.9073e-05]], device='cuda:0') Epoch 67, bias, value: tensor([ 0.0049, -0.0190, -0.0167, 0.0312, -0.0321, 0.0270, -0.0298, -0.0138, 0.0262, -0.0217], device='cuda:0'), grad: tensor([ 1.5065e-05, 2.6539e-05, 8.1420e-05, -1.9002e-04, -4.9353e-04, 3.4034e-05, 4.3929e-05, 1.1617e-04, -3.6716e-05, 4.0364e-04], device='cuda:0') 100 0.0001 changing lr epoch 66, time 214.95, cls_loss 0.0092 cls_loss_mapping 0.0173 cls_loss_causal 0.6648 re_mapping 0.0120 re_causal 0.0357 /// teacc 98.93 lr 0.00010000 Epoch 68, weight, value: tensor([[-0.0239, -0.0538, -0.0418, ..., -0.0935, -0.0035, 0.0536], [ 0.0322, 0.0457, 0.0198, ..., 0.0598, -0.0693, -0.0485], [ 0.0361, 0.0324, -0.0522, ..., 0.0066, -0.0827, -0.0091], ..., [-0.0232, -0.0224, 0.0484, ..., -0.0540, -0.0072, 0.0174], [ 0.0018, 0.0640, 0.0834, ..., -0.0525, -0.0532, -0.0726], [-0.0666, 0.0046, -0.1077, ..., -0.0395, -0.0371, 0.0382]], device='cuda:0'), grad: tensor([[ 1.1669e-06, 3.9823e-06, 4.1537e-06, ..., 2.8927e-06, -1.8477e-06, -1.8701e-05], [-8.0690e-06, -3.5595e-06, -1.0937e-05, ..., -9.0823e-06, 4.9993e-06, 5.6326e-06], [-9.1270e-06, 3.4031e-06, 2.1178e-06, ..., 9.2164e-06, 6.9402e-06, 3.0603e-06], ..., [ 8.6948e-06, 7.5139e-06, 8.8289e-06, ..., 7.3761e-06, 4.5970e-06, 2.0429e-05], [ 4.0270e-06, 5.9068e-05, 2.8744e-05, ..., 5.3458e-06, 1.4472e-04, 2.7990e-04], [ 2.6207e-06, 5.4277e-06, -1.3411e-07, ..., 1.6645e-05, 4.2856e-05, 2.9892e-05]], device='cuda:0') Epoch 68, bias, value: tensor([ 0.0045, -0.0196, -0.0172, 0.0314, -0.0322, 0.0265, -0.0293, -0.0136, 0.0270, -0.0213], device='cuda:0'), grad: tensor([-1.6242e-06, 1.2834e-06, 4.4107e-06, 1.4615e-04, -3.9011e-05, -9.0313e-04, 4.3511e-05, 8.8394e-05, 6.0034e-04, 6.0230e-05], device='cuda:0') 100 0.0001 changing lr epoch 67, time 214.94, cls_loss 0.0062 cls_loss_mapping 0.0141 cls_loss_causal 0.6216 re_mapping 0.0122 re_causal 0.0367 /// teacc 98.91 lr 0.00010000 Epoch 69, weight, value: tensor([[-0.0245, -0.0543, -0.0424, ..., -0.0939, -0.0034, 0.0539], [ 0.0327, 0.0463, 0.0208, ..., 0.0603, -0.0694, -0.0480], [ 0.0363, 0.0325, -0.0525, ..., 0.0065, -0.0830, -0.0094], ..., [-0.0236, -0.0228, 0.0485, ..., -0.0544, -0.0074, 0.0175], [ 0.0018, 0.0642, 0.0834, ..., -0.0532, -0.0535, -0.0737], [-0.0670, 0.0040, -0.1087, ..., -0.0407, -0.0376, 0.0386]], device='cuda:0'), grad: tensor([[-6.3479e-05, -2.1851e-04, 1.3202e-05, ..., 2.9728e-06, -2.8387e-05, -8.8978e-04], [-1.5855e-04, -7.5638e-05, -1.7071e-04, ..., -3.3528e-05, 3.2131e-06, 7.7337e-06], [ 6.5506e-05, 2.0123e-04, 9.8646e-06, ..., 3.0994e-06, 3.3528e-06, 7.3051e-04], ..., [ 9.7528e-06, 6.7316e-06, -6.8963e-05, ..., -6.9365e-06, -2.0824e-06, -5.1618e-05], [ 2.7969e-05, 1.4208e-05, 2.4393e-05, ..., 5.8003e-06, 1.9044e-05, 3.5018e-05], [ 1.2472e-05, 6.4336e-06, 4.4346e-05, ..., 3.8967e-06, 1.8626e-05, 1.0943e-04]], device='cuda:0') Epoch 69, bias, value: tensor([ 0.0046, -0.0190, -0.0171, 0.0307, -0.0313, 0.0269, -0.0296, -0.0137, 0.0267, -0.0218], device='cuda:0'), grad: tensor([-1.0576e-03, -3.3927e-04, 9.1267e-04, 2.3127e-04, 7.6175e-05, -1.2898e-04, 1.3638e-04, -9.0420e-05, 1.0294e-04, 1.5724e-04], device='cuda:0') 100 0.0001 changing lr epoch 68, time 215.15, cls_loss 0.0087 cls_loss_mapping 0.0177 cls_loss_causal 0.6360 re_mapping 0.0121 re_causal 0.0365 /// teacc 98.83 lr 0.00010000 Epoch 70, weight, value: tensor([[-0.0250, -0.0549, -0.0430, ..., -0.0943, -0.0038, 0.0544], [ 0.0330, 0.0471, 0.0220, ..., 0.0618, -0.0704, -0.0466], [ 0.0362, 0.0325, -0.0532, ..., 0.0063, -0.0838, -0.0111], ..., [-0.0241, -0.0243, 0.0479, ..., -0.0574, -0.0077, 0.0165], [ 0.0020, 0.0645, 0.0837, ..., -0.0534, -0.0547, -0.0749], [-0.0670, 0.0046, -0.1085, ..., -0.0409, -0.0373, 0.0394]], device='cuda:0'), grad: tensor([[ 1.0437e-04, 8.7857e-05, 1.1498e-04, ..., 1.5453e-05, 1.6121e-06, -2.5749e-05], [-7.6485e-04, -7.6962e-04, -9.3937e-04, ..., -1.4353e-04, 7.3053e-06, -5.0163e-04], [ 6.1274e-05, 6.1333e-05, 5.9873e-05, ..., 2.0668e-05, 4.1649e-06, 4.4078e-05], ..., [ 3.1322e-05, 5.1916e-05, 3.0786e-05, ..., 2.9802e-05, 8.5682e-06, 1.5482e-05], [ 1.6046e-04, 2.6989e-04, 2.1613e-04, ..., 1.1235e-04, 5.8472e-05, 1.4436e-04], [ 3.8475e-05, 9.2268e-05, 5.9217e-05, ..., 6.2883e-05, 3.2753e-05, 2.5705e-05]], device='cuda:0') Epoch 70, bias, value: tensor([ 0.0045, -0.0179, -0.0176, 0.0307, -0.0315, 0.0271, -0.0293, -0.0150, 0.0262, -0.0209], device='cuda:0'), grad: tensor([ 2.1851e-04, -2.5120e-03, 2.0111e-04, 2.5406e-05, -1.9109e-04, 2.7919e-04, 9.1648e-04, 1.1659e-04, 7.4244e-04, 2.0361e-04], device='cuda:0') 100 0.0001 changing lr epoch 69, time 215.21, cls_loss 0.0086 cls_loss_mapping 0.0159 cls_loss_causal 0.6207 re_mapping 0.0117 re_causal 0.0357 /// teacc 98.91 lr 0.00010000 Epoch 71, weight, value: tensor([[-0.0257, -0.0556, -0.0434, ..., -0.0940, -0.0035, 0.0547], [ 0.0334, 0.0471, 0.0222, ..., 0.0620, -0.0715, -0.0466], [ 0.0359, 0.0324, -0.0537, ..., 0.0062, -0.0842, -0.0117], ..., [-0.0244, -0.0243, 0.0484, ..., -0.0572, -0.0078, 0.0172], [ 0.0022, 0.0649, 0.0842, ..., -0.0538, -0.0554, -0.0757], [-0.0678, 0.0047, -0.1093, ..., -0.0413, -0.0380, 0.0393]], device='cuda:0'), grad: tensor([[ 1.8962e-06, 2.2247e-05, 4.3549e-06, ..., 8.6427e-06, -3.7421e-06, 2.0228e-06], [ 6.3837e-05, 3.8671e-04, 2.4915e-04, ..., 3.0732e-04, 2.6488e-04, 9.6299e-07], [-2.1920e-05, -4.9137e-06, 6.0014e-06, ..., 7.9796e-06, 4.1798e-06, 4.7050e-06], ..., [ 8.1956e-06, 6.8508e-06, 3.7774e-06, ..., 4.6082e-06, 9.8161e-07, 3.6638e-06], [-1.2350e-04, -6.0320e-04, -4.7398e-04, ..., -5.0068e-04, -4.0889e-04, 1.6153e-04], [ 7.1079e-06, -5.6177e-05, 1.9625e-05, ..., 2.2694e-05, 1.7956e-05, -2.0993e-04]], device='cuda:0') Epoch 71, bias, value: tensor([ 0.0043, -0.0176, -0.0183, 0.0318, -0.0319, 0.0276, -0.0299, -0.0145, 0.0260, -0.0215], device='cuda:0'), grad: tensor([-8.8196e-07, 6.8760e-04, -8.6203e-06, 3.8177e-05, 7.7248e-05, 9.1434e-05, 2.4772e-04, 1.8030e-05, -9.7561e-04, -1.7500e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 70---------------------------------------------------- epoch 70, time 231.16, cls_loss 0.0074 cls_loss_mapping 0.0155 cls_loss_causal 0.6133 re_mapping 0.0116 re_causal 0.0345 /// teacc 99.04 lr 0.00010000 Epoch 72, weight, value: tensor([[-0.0260, -0.0561, -0.0437, ..., -0.0948, -0.0039, 0.0550], [ 0.0332, 0.0467, 0.0217, ..., 0.0618, -0.0728, -0.0469], [ 0.0362, 0.0328, -0.0543, ..., 0.0064, -0.0849, -0.0122], ..., [-0.0241, -0.0245, 0.0495, ..., -0.0578, -0.0081, 0.0164], [ 0.0022, 0.0652, 0.0844, ..., -0.0544, -0.0562, -0.0766], [-0.0682, 0.0053, -0.1100, ..., -0.0416, -0.0381, 0.0405]], device='cuda:0'), grad: tensor([[ 1.5395e-06, -2.3423e-07, 2.9746e-06, ..., -3.1083e-07, -3.5226e-05, -5.7042e-05], [-1.6004e-05, -9.4920e-06, -9.8050e-06, ..., -1.0557e-05, 2.9635e-06, 5.3234e-06], [ 6.2352e-07, 6.9439e-06, 6.0014e-06, ..., 1.0110e-05, 3.1777e-06, 4.2878e-06], ..., [ 7.7412e-06, 2.0385e-05, -6.4433e-05, ..., 2.7001e-05, 5.7556e-06, -2.4885e-05], [ 5.1875e-07, -7.0827e-07, -4.9034e-07, ..., 4.8243e-06, 2.5705e-06, 4.9546e-06], [ 6.0759e-06, 2.5213e-05, 4.9025e-05, ..., 5.2452e-05, 2.4915e-05, 3.1382e-05]], device='cuda:0') Epoch 72, bias, value: tensor([ 0.0041, -0.0185, -0.0181, 0.0317, -0.0323, 0.0279, -0.0300, -0.0144, 0.0256, -0.0207], device='cuda:0'), grad: tensor([-6.7115e-05, -3.6806e-06, 1.8433e-05, 8.9360e-07, -1.1277e-04, 1.1869e-05, 4.2886e-05, -5.1409e-05, 1.3009e-05, 1.4782e-04], device='cuda:0') 100 0.0001 changing lr epoch 71, time 214.79, cls_loss 0.0059 cls_loss_mapping 0.0111 cls_loss_causal 0.5999 re_mapping 0.0112 re_causal 0.0344 /// teacc 98.97 lr 0.00010000 Epoch 73, weight, value: tensor([[-0.0264, -0.0562, -0.0443, ..., -0.0952, -0.0037, 0.0554], [ 0.0334, 0.0467, 0.0223, ..., 0.0620, -0.0735, -0.0463], [ 0.0367, 0.0332, -0.0549, ..., 0.0066, -0.0853, -0.0123], ..., [-0.0244, -0.0248, 0.0498, ..., -0.0586, -0.0083, 0.0164], [ 0.0023, 0.0655, 0.0850, ..., -0.0549, -0.0566, -0.0770], [-0.0688, 0.0051, -0.1112, ..., -0.0422, -0.0386, 0.0406]], device='cuda:0'), grad: tensor([[ 1.8543e-06, 1.0580e-05, 4.4107e-06, ..., 8.1435e-06, 1.2033e-05, -8.0885e-07], [ 4.1366e-05, 1.2183e-04, 1.4555e-04, ..., 1.0109e-04, 1.1128e-04, 1.1502e-06], [-4.7833e-06, 7.3714e-07, 4.0174e-05, ..., 1.5013e-05, 5.4948e-06, -1.5739e-07], ..., [-1.6674e-05, 2.3991e-06, -6.8784e-05, ..., -1.7375e-05, 1.0543e-06, -2.7269e-06], [-8.0407e-05, -3.8052e-04, -4.3011e-04, ..., -3.1495e-04, -3.5048e-04, 2.8573e-06], [ 7.7114e-06, 1.7583e-05, 2.7567e-05, ..., 1.9878e-05, 2.0802e-05, -6.0238e-06]], device='cuda:0') Epoch 73, bias, value: tensor([ 0.0043, -0.0183, -0.0176, 0.0318, -0.0322, 0.0273, -0.0293, -0.0147, 0.0257, -0.0210], device='cuda:0'), grad: tensor([ 1.9595e-05, 2.7394e-04, 5.6654e-05, 5.2378e-06, 1.2505e-04, 8.7142e-05, 2.4581e-04, -1.2058e-04, -7.3719e-04, 4.4405e-05], device='cuda:0') 100 0.0001 changing lr epoch 72, time 214.87, cls_loss 0.0058 cls_loss_mapping 0.0128 cls_loss_causal 0.6079 re_mapping 0.0108 re_causal 0.0321 /// teacc 99.02 lr 0.00010000 Epoch 74, weight, value: tensor([[-0.0269, -0.0566, -0.0441, ..., -0.0948, -0.0038, 0.0557], [ 0.0335, 0.0469, 0.0225, ..., 0.0626, -0.0743, -0.0466], [ 0.0366, 0.0330, -0.0561, ..., 0.0061, -0.0857, -0.0130], ..., [-0.0244, -0.0252, 0.0505, ..., -0.0591, -0.0090, 0.0166], [ 0.0026, 0.0659, 0.0857, ..., -0.0552, -0.0573, -0.0778], [-0.0695, 0.0048, -0.1121, ..., -0.0432, -0.0392, 0.0407]], device='cuda:0'), grad: tensor([[-1.0589e-06, -1.7703e-05, 3.8110e-06, ..., 1.0438e-05, -7.2606e-06, -7.9989e-05], [-8.4797e-07, 2.6122e-05, -9.0674e-06, ..., -6.0163e-07, 5.1856e-06, 9.7007e-06], [ 5.3793e-05, 1.8656e-04, 6.2525e-05, ..., 1.2529e-04, 1.6883e-05, 2.4199e-05], ..., [ 7.2345e-06, 7.4506e-06, 5.4725e-06, ..., 7.1339e-06, 1.2666e-06, -6.4492e-05], [-1.6451e-04, 5.2929e-05, -7.7367e-05, ..., 4.4972e-05, 1.0109e-04, 1.0923e-05], [ 2.9072e-05, 3.2425e-05, 1.4558e-05, ..., 7.7710e-06, 1.1079e-05, 8.0764e-05]], device='cuda:0') Epoch 74, bias, value: tensor([ 0.0044, -0.0184, -0.0183, 0.0321, -0.0321, 0.0275, -0.0291, -0.0143, 0.0256, -0.0215], device='cuda:0'), grad: tensor([-8.1778e-05, 2.9013e-05, 2.7299e-04, 1.1146e-04, 9.1553e-05, 9.8467e-05, -6.0129e-04, -4.8697e-05, -4.5300e-06, 1.3268e-04], device='cuda:0') 100 0.0001 changing lr epoch 73, time 214.76, cls_loss 0.0055 cls_loss_mapping 0.0131 cls_loss_causal 0.6123 re_mapping 0.0110 re_causal 0.0331 /// teacc 98.87 lr 0.00010000 Epoch 75, weight, value: tensor([[-0.0273, -0.0580, -0.0445, ..., -0.0950, -0.0036, 0.0552], [ 0.0333, 0.0461, 0.0222, ..., 0.0617, -0.0766, -0.0471], [ 0.0370, 0.0334, -0.0562, ..., 0.0062, -0.0863, -0.0133], ..., [-0.0248, -0.0255, 0.0508, ..., -0.0592, -0.0086, 0.0166], [ 0.0027, 0.0662, 0.0864, ..., -0.0554, -0.0580, -0.0788], [-0.0705, 0.0051, -0.1130, ..., -0.0436, -0.0399, 0.0417]], device='cuda:0'), grad: tensor([[ 2.7828e-06, 4.5933e-06, 4.7609e-06, ..., 4.9397e-06, 1.7462e-08, -5.1409e-06], [-1.8373e-05, -1.1587e-04, -1.3912e-04, ..., -1.5748e-04, -8.5235e-05, 2.7567e-07], [-3.1024e-05, -6.0946e-06, 1.0297e-05, ..., -4.7460e-06, 2.7996e-06, 6.1328e-07], ..., [ 4.9509e-06, 1.0796e-05, -3.3140e-05, ..., 1.0706e-05, 5.7518e-06, 2.8661e-07], [-2.3451e-06, 2.7381e-06, 3.6461e-07, ..., 1.2405e-05, 5.2825e-06, 4.2133e-06], [ 6.1020e-06, 7.3500e-06, 1.4678e-05, ..., 1.8254e-05, 1.3143e-05, -7.1302e-06]], device='cuda:0') Epoch 75, bias, value: tensor([ 0.0037, -0.0194, -0.0179, 0.0325, -0.0322, 0.0277, -0.0284, -0.0142, 0.0254, -0.0214], device='cuda:0'), grad: tensor([ 5.0478e-06, -2.1553e-04, -3.8296e-05, 5.1349e-05, 6.3002e-05, 8.6129e-06, 1.1951e-04, -4.0472e-05, 1.6168e-05, 3.0607e-05], device='cuda:0') 100 0.0001 changing lr epoch 74, time 214.49, cls_loss 0.0072 cls_loss_mapping 0.0156 cls_loss_causal 0.6171 re_mapping 0.0112 re_causal 0.0330 /// teacc 98.85 lr 0.00010000 Epoch 76, weight, value: tensor([[-0.0278, -0.0583, -0.0448, ..., -0.0954, -0.0035, 0.0560], [ 0.0346, 0.0470, 0.0244, ..., 0.0619, -0.0771, -0.0469], [ 0.0374, 0.0332, -0.0577, ..., 0.0061, -0.0883, -0.0137], ..., [-0.0261, -0.0265, 0.0506, ..., -0.0601, -0.0091, 0.0166], [ 0.0029, 0.0666, 0.0870, ..., -0.0557, -0.0584, -0.0798], [-0.0713, 0.0049, -0.1145, ..., -0.0442, -0.0407, 0.0418]], device='cuda:0'), grad: tensor([[ 2.2408e-06, 3.0603e-06, 2.1290e-06, ..., 1.7611e-06, 9.6578e-07, -1.4521e-05], [-6.6757e-05, -7.2718e-05, -1.0532e-04, ..., -9.4771e-05, -2.2873e-05, 1.0384e-06], [ 1.6659e-05, 6.8806e-06, 6.1169e-06, ..., 3.6564e-06, 2.3730e-06, 2.6487e-06], ..., [ 6.1020e-06, 3.7495e-06, 3.5157e-07, ..., 2.3507e-06, 3.0138e-06, 2.8573e-06], [ 2.6792e-05, 1.5132e-05, 9.4250e-06, ..., 1.0207e-05, 2.2992e-05, 5.4762e-06], [ 6.3814e-06, -2.3935e-06, 3.2280e-06, ..., 1.1548e-06, 7.8678e-06, 2.8070e-06]], device='cuda:0') Epoch 76, bias, value: tensor([ 0.0043, -0.0179, -0.0181, 0.0320, -0.0321, 0.0278, -0.0281, -0.0149, 0.0254, -0.0220], device='cuda:0'), grad: tensor([-5.8562e-06, -1.3757e-04, 2.5481e-05, -4.9025e-05, 1.6719e-05, -3.1322e-05, 9.1612e-05, 1.1444e-05, 6.5744e-05, 1.2569e-05], device='cuda:0') 100 0.0001 changing lr epoch 75, time 214.72, cls_loss 0.0066 cls_loss_mapping 0.0141 cls_loss_causal 0.5959 re_mapping 0.0110 re_causal 0.0320 /// teacc 98.86 lr 0.00010000 Epoch 77, weight, value: tensor([[-0.0285, -0.0586, -0.0448, ..., -0.0954, -0.0034, 0.0565], [ 0.0354, 0.0470, 0.0254, ..., 0.0620, -0.0776, -0.0477], [ 0.0366, 0.0324, -0.0592, ..., 0.0058, -0.0886, -0.0139], ..., [-0.0266, -0.0267, 0.0509, ..., -0.0607, -0.0097, 0.0169], [ 0.0042, 0.0685, 0.0880, ..., -0.0561, -0.0569, -0.0793], [-0.0720, 0.0060, -0.1155, ..., -0.0443, -0.0412, 0.0421]], device='cuda:0'), grad: tensor([[ 2.3618e-06, 2.1551e-06, 4.8161e-05, ..., 2.2594e-06, 4.6045e-06, 1.6540e-05], [-7.6413e-05, -6.6102e-05, -7.8440e-05, ..., -8.2135e-05, -5.3197e-06, 4.1686e-06], [-1.2659e-05, -8.7321e-06, 2.8268e-05, ..., 6.3144e-06, 9.0599e-06, 1.9774e-05], ..., [ 8.9630e-06, 7.6294e-06, -1.0598e-04, ..., 7.2457e-06, -1.4752e-05, -6.9559e-05], [ 3.5793e-05, 3.1173e-05, 3.1918e-05, ..., 3.2067e-05, 2.4542e-05, 1.6600e-05], [ 6.0871e-06, 1.0073e-05, 1.6496e-05, ..., 1.5140e-05, 2.3559e-05, 2.4840e-05]], device='cuda:0') Epoch 77, bias, value: tensor([ 0.0047, -0.0174, -0.0188, 0.0325, -0.0326, 0.0265, -0.0291, -0.0146, 0.0271, -0.0218], device='cuda:0'), grad: tensor([ 7.3075e-05, -1.1867e-04, 2.8297e-05, 2.0809e-03, -3.6061e-06, -2.1095e-03, 3.7491e-05, -1.7846e-04, 1.1241e-04, 7.9870e-05], device='cuda:0') 100 0.0001 changing lr epoch 76, time 215.06, cls_loss 0.0054 cls_loss_mapping 0.0117 cls_loss_causal 0.6320 re_mapping 0.0107 re_causal 0.0338 /// teacc 98.81 lr 0.00010000 Epoch 78, weight, value: tensor([[-0.0290, -0.0593, -0.0455, ..., -0.0958, -0.0035, 0.0566], [ 0.0358, 0.0469, 0.0260, ..., 0.0623, -0.0780, -0.0481], [ 0.0373, 0.0330, -0.0593, ..., 0.0056, -0.0890, -0.0143], ..., [-0.0271, -0.0270, 0.0511, ..., -0.0611, -0.0099, 0.0171], [ 0.0040, 0.0684, 0.0882, ..., -0.0565, -0.0573, -0.0800], [-0.0724, 0.0072, -0.1157, ..., -0.0441, -0.0422, 0.0426]], device='cuda:0'), grad: tensor([[ 2.7549e-06, 2.3246e-05, 5.9605e-06, ..., 8.1584e-07, 3.8520e-06, 2.1562e-05], [-1.5736e-05, -2.7511e-06, -1.5795e-05, ..., -7.0147e-06, 4.8950e-06, -1.0123e-06], [ 3.2961e-05, 2.3991e-05, 2.0757e-05, ..., 8.0094e-06, 1.7416e-06, 8.9481e-06], ..., [ 4.8019e-06, 3.9749e-06, 3.6899e-06, ..., 1.8161e-06, 1.1278e-06, 2.5183e-06], [-2.6003e-05, -8.5890e-05, -1.6820e-04, ..., -1.3700e-06, -1.1837e-04, 2.9579e-05], [ 1.6168e-05, -2.9996e-05, 1.4327e-05, ..., 2.1663e-06, 4.9807e-06, -6.8247e-05]], device='cuda:0') Epoch 78, bias, value: tensor([ 0.0045, -0.0172, -0.0180, 0.0319, -0.0332, 0.0269, -0.0293, -0.0148, 0.0266, -0.0213], device='cuda:0'), grad: tensor([ 3.6985e-05, -1.5929e-05, 5.4300e-05, -4.8965e-05, -1.4203e-06, 8.8274e-05, 1.3101e-04, 1.1161e-05, -2.0492e-04, -5.0575e-05], device='cuda:0') 100 0.0001 changing lr epoch 77, time 214.78, cls_loss 0.0061 cls_loss_mapping 0.0134 cls_loss_causal 0.6168 re_mapping 0.0103 re_causal 0.0312 /// teacc 99.00 lr 0.00010000 Epoch 79, weight, value: tensor([[-0.0294, -0.0597, -0.0461, ..., -0.0965, -0.0039, 0.0570], [ 0.0355, 0.0471, 0.0259, ..., 0.0628, -0.0788, -0.0479], [ 0.0374, 0.0332, -0.0605, ..., 0.0057, -0.0896, -0.0144], ..., [-0.0264, -0.0275, 0.0525, ..., -0.0620, -0.0097, 0.0175], [ 0.0042, 0.0686, 0.0887, ..., -0.0570, -0.0579, -0.0807], [-0.0730, 0.0069, -0.1171, ..., -0.0450, -0.0433, 0.0424]], device='cuda:0'), grad: tensor([[ 1.6615e-05, 6.1765e-06, 2.1365e-06, ..., 6.3796e-07, -2.9162e-05, -2.1029e-04], [ 3.7223e-05, 1.5102e-05, 1.7202e-04, ..., -1.0848e-05, 2.3097e-06, 3.5942e-05], [-7.4990e-06, -1.2472e-05, 3.2872e-05, ..., 1.7080e-06, 1.1791e-06, 1.5974e-05], ..., [-3.2276e-05, -2.2039e-05, -3.2020e-04, ..., 5.0999e-06, 1.6103e-06, -4.7207e-05], [ 1.4961e-05, 5.4613e-06, 2.3887e-05, ..., 1.6103e-06, 1.6112e-06, 1.9014e-05], [ 2.2769e-05, -1.3746e-05, 4.5300e-05, ..., 5.7258e-06, 2.7463e-05, 1.3936e-04]], device='cuda:0') Epoch 79, bias, value: tensor([ 0.0044, -0.0175, -0.0185, 0.0319, -0.0329, 0.0270, -0.0288, -0.0136, 0.0264, -0.0221], device='cuda:0'), grad: tensor([-1.0026e-04, 3.1042e-04, -2.1353e-05, -2.9826e-04, 3.5733e-05, 2.2247e-05, 5.6982e-05, -3.2616e-04, 1.1379e-04, 2.0695e-04], device='cuda:0') 100 0.0001 changing lr epoch 78, time 214.83, cls_loss 0.0061 cls_loss_mapping 0.0133 cls_loss_causal 0.6032 re_mapping 0.0108 re_causal 0.0309 /// teacc 98.94 lr 0.00010000 Epoch 80, weight, value: tensor([[-0.0298, -0.0606, -0.0467, ..., -0.0967, -0.0035, 0.0573], [ 0.0360, 0.0471, 0.0266, ..., 0.0629, -0.0793, -0.0488], [ 0.0377, 0.0333, -0.0610, ..., 0.0054, -0.0900, -0.0147], ..., [-0.0272, -0.0278, 0.0523, ..., -0.0619, -0.0097, 0.0174], [ 0.0045, 0.0690, 0.0897, ..., -0.0579, -0.0587, -0.0824], [-0.0735, 0.0068, -0.1178, ..., -0.0460, -0.0441, 0.0432]], device='cuda:0'), grad: tensor([[ 2.7921e-06, 1.6764e-06, 2.4494e-06, ..., 5.6848e-06, -1.0565e-05, -2.1994e-04], [-6.5279e-04, -1.6438e-06, -6.7091e-04, ..., -5.0735e-04, 1.6624e-06, 8.8513e-06], [ 2.2674e-04, 2.0098e-06, 2.5463e-04, ..., 1.8716e-04, 3.2075e-06, 2.9281e-05], ..., [ 3.5310e-04, 1.9372e-05, 3.3736e-04, ..., 2.6822e-04, 1.3057e-06, -1.7206e-07], [ 3.5111e-06, 2.6468e-06, 1.4994e-06, ..., 4.7721e-06, 5.0753e-05, 9.5725e-05], [ 8.3894e-06, -3.1769e-05, 1.0706e-05, ..., 5.9679e-06, 2.3738e-05, 1.3638e-04]], device='cuda:0') Epoch 80, bias, value: tensor([ 0.0046, -0.0171, -0.0183, 0.0320, -0.0329, 0.0268, -0.0288, -0.0142, 0.0262, -0.0219], device='cuda:0'), grad: tensor([-2.0146e-04, -1.0939e-03, 4.2558e-04, 2.7493e-05, 4.4078e-05, -5.8264e-05, -1.7611e-06, 5.9557e-04, 1.2875e-04, 1.3316e-04], device='cuda:0') 100 0.0001 changing lr epoch 79, time 214.98, cls_loss 0.0052 cls_loss_mapping 0.0097 cls_loss_causal 0.5764 re_mapping 0.0101 re_causal 0.0301 /// teacc 98.90 lr 0.00010000 Epoch 81, weight, value: tensor([[-0.0304, -0.0606, -0.0473, ..., -0.0974, -0.0030, 0.0585], [ 0.0361, 0.0473, 0.0268, ..., 0.0633, -0.0799, -0.0491], [ 0.0378, 0.0332, -0.0616, ..., 0.0049, -0.0907, -0.0148], ..., [-0.0276, -0.0278, 0.0527, ..., -0.0625, -0.0102, 0.0178], [ 0.0047, 0.0696, 0.0904, ..., -0.0583, -0.0591, -0.0833], [-0.0744, 0.0067, -0.1189, ..., -0.0466, -0.0446, 0.0429]], device='cuda:0'), grad: tensor([[ 8.3521e-06, 9.0003e-06, -1.9670e-05, ..., 4.4405e-06, 2.8145e-06, -8.7976e-05], [ 3.2149e-06, 1.6699e-06, 1.8487e-06, ..., -8.1025e-07, 2.0657e-06, 1.2733e-05], [ 1.6674e-05, 3.3230e-05, 3.3945e-05, ..., 1.3709e-06, 5.1893e-06, 4.6343e-06], ..., [ 7.2718e-06, 9.5293e-06, 3.5223e-06, ..., 5.9195e-06, 6.3777e-06, 1.7777e-05], [ 9.7081e-06, -1.9479e-04, -1.5640e-04, ..., 5.4128e-06, -1.6451e-05, 2.9549e-05], [ 1.1578e-05, -1.6003e-03, 1.9655e-05, ..., -9.3842e-04, -1.0347e-03, -1.6088e-03]], device='cuda:0') Epoch 81, bias, value: tensor([ 0.0054, -0.0171, -0.0185, 0.0323, -0.0326, 0.0269, -0.0291, -0.0142, 0.0261, -0.0225], device='cuda:0'), grad: tensor([-5.7012e-05, 2.2113e-05, 3.1561e-05, -8.6367e-05, 3.6774e-03, 1.9222e-05, 1.9360e-04, 4.9919e-05, -1.8251e-04, -3.6716e-03], device='cuda:0') 100 0.0001 changing lr epoch 80, time 214.87, cls_loss 0.0051 cls_loss_mapping 0.0105 cls_loss_causal 0.5879 re_mapping 0.0098 re_causal 0.0293 /// teacc 98.93 lr 0.00010000 Epoch 82, weight, value: tensor([[-0.0310, -0.0608, -0.0480, ..., -0.0979, -0.0030, 0.0589], [ 0.0361, 0.0473, 0.0267, ..., 0.0635, -0.0804, -0.0494], [ 0.0382, 0.0334, -0.0617, ..., 0.0047, -0.0911, -0.0151], ..., [-0.0277, -0.0277, 0.0537, ..., -0.0629, -0.0108, 0.0185], [ 0.0046, 0.0697, 0.0906, ..., -0.0587, -0.0597, -0.0845], [-0.0750, 0.0070, -0.1207, ..., -0.0466, -0.0448, 0.0432]], device='cuda:0'), grad: tensor([[ 6.0834e-06, 2.8275e-06, 2.5202e-06, ..., 1.0459e-06, 2.8331e-06, -8.2999e-06], [-1.9714e-05, -4.8459e-05, -7.8738e-05, ..., -3.7670e-05, 1.3895e-06, -3.1352e-05], [ 8.3506e-05, 1.5497e-05, 8.5011e-06, ..., 4.3064e-06, 3.2168e-06, 5.9120e-06], ..., [ 4.3809e-05, 3.5137e-05, 4.5091e-05, ..., 1.9386e-05, 1.4836e-06, 1.8209e-05], [ 4.3124e-05, 9.4235e-05, 3.8296e-05, ..., 5.9791e-06, 6.5714e-06, 7.2896e-05], [ 8.6650e-06, -1.0502e-04, -1.2644e-05, ..., 1.0610e-05, 6.1952e-06, -8.0705e-05]], device='cuda:0') Epoch 82, bias, value: tensor([ 0.0054, -0.0174, -0.0183, 0.0324, -0.0329, 0.0273, -0.0292, -0.0135, 0.0255, -0.0229], device='cuda:0'), grad: tensor([ 1.7881e-05, -7.9751e-05, 2.1327e-04, -4.4918e-04, 4.5449e-05, 7.4267e-05, 6.9626e-06, 9.4473e-05, 2.2519e-04, -1.4830e-04], device='cuda:0') 100 0.0001 changing lr epoch 81, time 215.08, cls_loss 0.0044 cls_loss_mapping 0.0097 cls_loss_causal 0.5968 re_mapping 0.0099 re_causal 0.0311 /// teacc 98.88 lr 0.00010000 Epoch 83, weight, value: tensor([[-0.0313, -0.0604, -0.0469, ..., -0.0973, -0.0033, 0.0593], [ 0.0363, 0.0473, 0.0270, ..., 0.0630, -0.0816, -0.0494], [ 0.0383, 0.0333, -0.0619, ..., 0.0046, -0.0912, -0.0154], ..., [-0.0281, -0.0282, 0.0538, ..., -0.0634, -0.0113, 0.0183], [ 0.0045, 0.0698, 0.0906, ..., -0.0593, -0.0600, -0.0853], [-0.0754, 0.0068, -0.1215, ..., -0.0473, -0.0454, 0.0433]], device='cuda:0'), grad: tensor([[ 6.6962e-07, 2.1036e-07, 3.9511e-07, ..., 9.4948e-07, 1.7770e-06, -6.2212e-06], [-2.5127e-06, -2.0470e-06, -5.8226e-06, ..., -3.8054e-06, 2.0880e-06, 1.7351e-06], [ 8.3772e-07, -5.2061e-07, 1.0673e-06, ..., 9.9465e-07, 1.6764e-06, 2.3153e-06], ..., [ 1.6131e-06, 1.5171e-06, 9.1642e-07, ..., 1.4808e-06, 2.6487e-06, 2.1569e-06], [ 1.4845e-06, 1.1707e-06, 1.8545e-07, ..., 1.6950e-06, 1.9357e-05, 1.7703e-05], [ 1.8533e-06, 4.8988e-06, 9.4762e-07, ..., 1.0632e-05, 1.2800e-05, 3.0529e-06]], device='cuda:0') Epoch 83, bias, value: tensor([ 0.0059, -0.0175, -0.0183, 0.0324, -0.0330, 0.0276, -0.0281, -0.0138, 0.0250, -0.0233], device='cuda:0'), grad: tensor([-3.0734e-06, -6.5193e-07, 8.3521e-06, -6.4671e-06, -1.2010e-05, -6.9320e-05, 1.0751e-05, 8.0615e-06, 3.8296e-05, 2.6017e-05], device='cuda:0') 100 0.0001 changing lr epoch 82, time 214.92, cls_loss 0.0045 cls_loss_mapping 0.0081 cls_loss_causal 0.6120 re_mapping 0.0099 re_causal 0.0305 /// teacc 98.91 lr 0.00010000 Epoch 84, weight, value: tensor([[-0.0317, -0.0607, -0.0473, ..., -0.0977, -0.0036, 0.0595], [ 0.0363, 0.0472, 0.0271, ..., 0.0629, -0.0820, -0.0496], [ 0.0387, 0.0335, -0.0619, ..., 0.0047, -0.0917, -0.0162], ..., [-0.0285, -0.0288, 0.0541, ..., -0.0635, -0.0118, 0.0188], [ 0.0047, 0.0702, 0.0909, ..., -0.0600, -0.0608, -0.0865], [-0.0759, 0.0070, -0.1223, ..., -0.0478, -0.0457, 0.0439]], device='cuda:0'), grad: tensor([[ 1.6034e-05, 1.1705e-05, 3.8818e-06, ..., 1.1427e-06, -1.4557e-06, -3.9637e-05], [ 6.5081e-06, 5.4277e-06, 5.1372e-06, ..., 1.3225e-06, 2.3637e-06, 4.2096e-06], [-3.6329e-05, -3.4630e-05, -1.6227e-05, ..., -2.0228e-06, 1.2424e-06, -2.0619e-06], ..., [ 2.0906e-05, 8.0094e-06, -5.7779e-06, ..., 4.1239e-06, 1.8664e-06, -1.2591e-05], [-2.8923e-05, -3.2425e-05, -5.9962e-05, ..., 4.1164e-06, 1.9018e-06, 9.3803e-06], [ 1.2785e-05, 1.6212e-05, 1.4052e-05, ..., 2.1294e-05, 1.1526e-05, 1.5900e-05]], device='cuda:0') Epoch 84, bias, value: tensor([ 0.0059, -0.0178, -0.0182, 0.0323, -0.0321, 0.0275, -0.0286, -0.0136, 0.0247, -0.0233], device='cuda:0'), grad: tensor([-5.7399e-05, 2.5928e-05, -8.6784e-05, 9.2834e-06, -2.5779e-06, 1.8746e-05, 2.2322e-05, 2.8387e-05, -4.0084e-05, 8.1837e-05], device='cuda:0') 100 0.0001 changing lr epoch 83, time 214.48, cls_loss 0.0056 cls_loss_mapping 0.0103 cls_loss_causal 0.5978 re_mapping 0.0104 re_causal 0.0307 /// teacc 98.76 lr 0.00010000 Epoch 85, weight, value: tensor([[-0.0324, -0.0615, -0.0477, ..., -0.0984, -0.0038, 0.0597], [ 0.0362, 0.0478, 0.0283, ..., 0.0643, -0.0823, -0.0492], [ 0.0392, 0.0338, -0.0618, ..., 0.0048, -0.0923, -0.0162], ..., [-0.0291, -0.0305, 0.0532, ..., -0.0657, -0.0117, 0.0183], [ 0.0048, 0.0708, 0.0918, ..., -0.0602, -0.0612, -0.0871], [-0.0764, 0.0072, -0.1230, ..., -0.0480, -0.0459, 0.0446]], device='cuda:0'), grad: tensor([[ 3.0864e-06, 1.6978e-06, 7.0371e-06, ..., 7.2837e-05, 1.2326e-04, 1.3122e-06], [-4.2878e-06, -1.1392e-05, -1.2048e-05, ..., -2.3544e-05, 2.2985e-06, 2.7511e-06], [-6.5148e-05, 1.2582e-06, -9.3654e-06, ..., 5.5395e-06, 2.4009e-06, 6.1579e-06], ..., [ 2.1353e-05, 6.3032e-06, -2.6584e-04, ..., -3.4332e-05, 2.9597e-06, -8.8513e-05], [ 8.6473e-07, -3.8832e-05, -2.2754e-05, ..., 4.9211e-06, -4.1462e-06, 5.7705e-06], [ 1.0818e-05, 3.1948e-05, 1.0622e-04, ..., 2.6554e-05, 4.3541e-05, 6.2048e-05]], device='cuda:0') Epoch 85, bias, value: tensor([ 0.0056, -0.0172, -0.0177, 0.0331, -0.0329, 0.0272, -0.0283, -0.0147, 0.0247, -0.0232], device='cuda:0'), grad: tensor([ 1.4329e-04, -6.3553e-06, -1.1277e-04, 2.1315e-04, 5.8413e-05, -4.2558e-05, -3.7462e-05, -4.5371e-04, -4.4376e-05, 2.8229e-04], device='cuda:0') 100 0.0001 changing lr epoch 84, time 214.99, cls_loss 0.0054 cls_loss_mapping 0.0099 cls_loss_causal 0.5800 re_mapping 0.0101 re_causal 0.0298 /// teacc 98.89 lr 0.00010000 Epoch 86, weight, value: tensor([[-0.0329, -0.0616, -0.0483, ..., -0.0988, -0.0038, 0.0600], [ 0.0363, 0.0477, 0.0284, ..., 0.0642, -0.0831, -0.0496], [ 0.0393, 0.0344, -0.0630, ..., 0.0066, -0.0910, -0.0167], ..., [-0.0293, -0.0308, 0.0537, ..., -0.0658, -0.0123, 0.0184], [ 0.0055, 0.0719, 0.0931, ..., -0.0602, -0.0615, -0.0875], [-0.0769, 0.0075, -0.1240, ..., -0.0480, -0.0450, 0.0458]], device='cuda:0'), grad: tensor([[ 1.0021e-06, 8.0049e-05, 1.6009e-06, ..., 1.5013e-05, 1.7357e-04, 3.3808e-04], [ 2.3711e-06, 5.7667e-06, 6.6869e-06, ..., 6.9477e-07, 2.1867e-06, 3.0473e-06], [-1.7369e-06, 1.3657e-05, 6.7577e-06, ..., 2.5388e-06, 2.6792e-05, 5.2094e-05], ..., [ 2.1774e-06, 4.9770e-06, -8.2403e-06, ..., 8.0280e-07, 3.5334e-06, 2.3991e-06], [-2.5570e-05, -5.9813e-05, -6.3598e-05, ..., 7.1852e-07, 1.0706e-05, 1.9699e-05], [ 1.2778e-05, -9.2328e-05, 3.4958e-05, ..., -1.9312e-05, -2.6584e-04, -5.3263e-04]], device='cuda:0') Epoch 86, bias, value: tensor([ 0.0056, -0.0174, -0.0168, 0.0331, -0.0345, 0.0270, -0.0286, -0.0145, 0.0255, -0.0226], device='cuda:0'), grad: tensor([ 5.7793e-04, 1.6928e-05, 8.9705e-05, 3.0011e-05, 1.4663e-04, 2.7865e-05, 1.7509e-05, 6.4857e-06, -7.8321e-05, -8.3494e-04], device='cuda:0') 100 0.0001 changing lr epoch 85, time 214.83, cls_loss 0.0051 cls_loss_mapping 0.0101 cls_loss_causal 0.5906 re_mapping 0.0101 re_causal 0.0308 /// teacc 98.86 lr 0.00010000 Epoch 87, weight, value: tensor([[-0.0335, -0.0616, -0.0480, ..., -0.0983, -0.0038, 0.0601], [ 0.0366, 0.0477, 0.0284, ..., 0.0641, -0.0848, -0.0499], [ 0.0393, 0.0341, -0.0639, ..., 0.0063, -0.0918, -0.0170], ..., [-0.0293, -0.0313, 0.0546, ..., -0.0664, -0.0133, 0.0187], [ 0.0056, 0.0719, 0.0932, ..., -0.0624, -0.0624, -0.0883], [-0.0774, 0.0079, -0.1248, ..., -0.0481, -0.0447, 0.0466]], device='cuda:0'), grad: tensor([[ 1.2256e-06, 3.9250e-05, 3.8370e-06, ..., 3.0436e-06, 1.6809e-04, 7.1228e-05], [-2.0433e-06, 4.0904e-06, 2.2829e-05, ..., 9.4026e-06, 1.4290e-05, 2.2128e-05], [-1.2135e-06, 1.3802e-06, 2.3052e-05, ..., 3.6061e-06, 3.8892e-06, 2.0295e-05], ..., [ 9.9279e-07, 3.3099e-06, -8.9931e-04, ..., 6.7130e-06, 6.1132e-06, -7.4291e-04], [-9.9838e-06, 3.1833e-06, 1.1556e-05, ..., 1.6406e-05, 2.2590e-05, 2.5690e-05], [ 2.5127e-06, 1.9744e-05, 7.1907e-04, ..., 3.7432e-05, 3.4094e-05, 5.8126e-04]], device='cuda:0') Epoch 87, bias, value: tensor([ 0.0059, -0.0177, -0.0172, 0.0327, -0.0346, 0.0274, -0.0285, -0.0141, 0.0251, -0.0223], device='cuda:0'), grad: tensor([ 2.2864e-04, 8.2731e-05, 6.4313e-05, 5.1528e-05, 3.8773e-05, 9.3818e-05, -2.0421e-04, -2.4395e-03, 7.9393e-05, 2.0027e-03], device='cuda:0') 100 0.0001 changing lr epoch 86, time 215.23, cls_loss 0.0053 cls_loss_mapping 0.0101 cls_loss_causal 0.6068 re_mapping 0.0103 re_causal 0.0304 /// teacc 98.83 lr 0.00010000 Epoch 88, weight, value: tensor([[-0.0342, -0.0622, -0.0488, ..., -0.0990, -0.0039, 0.0605], [ 0.0356, 0.0473, 0.0272, ..., 0.0640, -0.0851, -0.0506], [ 0.0403, 0.0354, -0.0626, ..., 0.0070, -0.0923, -0.0168], ..., [-0.0283, -0.0313, 0.0565, ..., -0.0669, -0.0135, 0.0191], [ 0.0052, 0.0715, 0.0930, ..., -0.0635, -0.0631, -0.0893], [-0.0780, 0.0075, -0.1266, ..., -0.0499, -0.0470, 0.0465]], device='cuda:0'), grad: tensor([[ 3.1758e-06, 5.4166e-06, 9.9689e-06, ..., 2.6952e-06, -4.1686e-06, -1.9997e-05], [ 5.9642e-06, 4.5709e-06, 3.3885e-05, ..., 1.4510e-06, 3.3528e-06, 2.6263e-06], [-3.0566e-06, 7.7300e-07, 1.3947e-04, ..., 1.8282e-06, 3.1460e-06, 5.3123e-06], ..., [-8.0645e-05, 1.4296e-06, -4.6706e-04, ..., 4.2841e-07, 7.6229e-07, 7.6890e-06], [ 1.1407e-05, 5.3436e-05, 1.9938e-05, ..., 2.7373e-05, 3.3975e-05, 5.8152e-06], [ 9.7305e-06, -1.5115e-06, 4.7177e-05, ..., 1.1902e-06, 1.5404e-06, -1.5914e-05]], device='cuda:0') Epoch 88, bias, value: tensor([ 0.0057, -0.0192, -0.0159, 0.0329, -0.0329, 0.0272, -0.0288, -0.0128, 0.0240, -0.0237], device='cuda:0'), grad: tensor([ 6.0387e-06, 9.9719e-05, 3.5310e-04, 4.8518e-04, 8.2135e-05, 6.9559e-05, -9.8586e-05, -1.2579e-03, 1.4639e-04, 1.1313e-04], device='cuda:0') 100 0.0001 changing lr epoch 87, time 215.11, cls_loss 0.0041 cls_loss_mapping 0.0100 cls_loss_causal 0.6003 re_mapping 0.0094 re_causal 0.0289 /// teacc 98.88 lr 0.00010000 Epoch 89, weight, value: tensor([[-0.0346, -0.0630, -0.0490, ..., -0.0995, -0.0044, 0.0611], [ 0.0355, 0.0471, 0.0273, ..., 0.0639, -0.0856, -0.0513], [ 0.0406, 0.0354, -0.0627, ..., 0.0071, -0.0929, -0.0174], ..., [-0.0286, -0.0319, 0.0565, ..., -0.0671, -0.0138, 0.0186], [ 0.0056, 0.0723, 0.0938, ..., -0.0639, -0.0632, -0.0898], [-0.0785, 0.0075, -0.1271, ..., -0.0504, -0.0479, 0.0469]], device='cuda:0'), grad: tensor([[ 2.4196e-06, 4.0680e-06, 5.8413e-06, ..., 1.0775e-06, 9.6262e-06, 9.1195e-06], [-3.0518e-05, -2.3708e-05, -3.9250e-05, ..., -3.0637e-05, 8.1351e-07, 2.0955e-06], [ 8.4192e-06, 6.5304e-06, 1.2264e-05, ..., 5.9269e-06, 1.2480e-06, 3.2429e-06], ..., [ 7.1526e-06, 1.4827e-05, 3.8594e-06, ..., 6.5342e-06, 2.1216e-06, 1.7928e-07], [-1.7631e-04, -5.1117e-04, -5.9891e-04, ..., 4.8093e-06, 8.7842e-06, -2.7776e-04], [ 1.7178e-04, 4.8161e-04, 5.7745e-04, ..., 4.2543e-06, 1.3979e-06, 2.5201e-04]], device='cuda:0') Epoch 89, bias, value: tensor([ 0.0058, -0.0194, -0.0159, 0.0320, -0.0329, 0.0280, -0.0281, -0.0131, 0.0242, -0.0239], device='cuda:0'), grad: tensor([ 2.3663e-05, -5.7220e-05, 2.2978e-05, 5.3287e-05, 1.6659e-05, -8.9824e-05, 7.5996e-05, 1.7643e-05, -1.2541e-03, 1.1902e-03], device='cuda:0') 100 0.0001 changing lr epoch 88, time 214.95, cls_loss 0.0044 cls_loss_mapping 0.0105 cls_loss_causal 0.5636 re_mapping 0.0097 re_causal 0.0278 /// teacc 98.97 lr 0.00010000 Epoch 90, weight, value: tensor([[-0.0353, -0.0635, -0.0497, ..., -0.0996, -0.0044, 0.0613], [ 0.0358, 0.0471, 0.0275, ..., 0.0640, -0.0861, -0.0514], [ 0.0404, 0.0351, -0.0637, ..., 0.0068, -0.0936, -0.0179], ..., [-0.0286, -0.0319, 0.0574, ..., -0.0673, -0.0145, 0.0187], [ 0.0057, 0.0723, 0.0942, ..., -0.0645, -0.0637, -0.0907], [-0.0786, 0.0076, -0.1283, ..., -0.0513, -0.0483, 0.0476]], device='cuda:0'), grad: tensor([[ 2.3246e-06, 3.7681e-06, 2.8238e-06, ..., 4.0531e-06, 8.2850e-06, 1.8617e-06], [-6.2510e-06, -3.3341e-06, -8.3521e-06, ..., -9.8869e-06, 4.6976e-06, 1.0189e-06], [-2.4483e-05, 1.4836e-06, 4.5337e-06, ..., 3.2391e-06, 2.7958e-06, 6.7521e-09], ..., [ 3.0205e-05, 9.8944e-06, 2.9132e-06, ..., 6.0350e-06, 4.3437e-06, -3.8221e-06], [-4.8548e-05, -5.2392e-05, -6.8486e-05, ..., 7.3910e-06, -1.5631e-05, 5.4128e-06], [ 1.3836e-05, 2.1353e-05, 1.9714e-05, ..., 1.7822e-05, 1.7554e-05, -1.0356e-06]], device='cuda:0') Epoch 90, bias, value: tensor([ 0.0059, -0.0193, -0.0164, 0.0320, -0.0327, 0.0276, -0.0277, -0.0127, 0.0239, -0.0239], device='cuda:0'), grad: tensor([ 1.4536e-05, -6.9290e-07, -8.1897e-05, 5.0128e-05, 7.8529e-06, 7.5586e-06, -1.9781e-06, 9.4056e-05, -1.6081e-04, 7.1108e-05], device='cuda:0') 100 0.0001 changing lr epoch 89, time 215.00, cls_loss 0.0050 cls_loss_mapping 0.0083 cls_loss_causal 0.5832 re_mapping 0.0097 re_causal 0.0287 /// teacc 98.84 lr 0.00010000 Epoch 91, weight, value: tensor([[-0.0358, -0.0640, -0.0501, ..., -0.0999, -0.0064, 0.0599], [ 0.0371, 0.0479, 0.0286, ..., 0.0645, -0.0865, -0.0507], [ 0.0399, 0.0345, -0.0649, ..., 0.0066, -0.0942, -0.0183], ..., [-0.0294, -0.0330, 0.0576, ..., -0.0674, -0.0129, 0.0181], [ 0.0058, 0.0726, 0.0949, ..., -0.0650, -0.0644, -0.0912], [-0.0792, 0.0067, -0.1292, ..., -0.0523, -0.0493, 0.0481]], device='cuda:0'), grad: tensor([[ 3.1721e-06, 8.0645e-05, 7.4040e-07, ..., 1.1260e-06, 3.0428e-05, 1.6296e-04], [ 2.1495e-06, 3.4962e-06, 2.6543e-06, ..., -8.8941e-07, 2.3991e-06, 4.1164e-06], [ 7.4729e-06, 4.5955e-05, 6.5938e-06, ..., 2.0396e-07, 2.2370e-06, 8.6486e-05], ..., [ 9.2387e-06, 1.0751e-05, -1.0341e-05, ..., 6.9477e-07, 2.3302e-06, 7.8008e-06], [ 2.6655e-04, 9.8324e-04, 7.0810e-05, ..., 1.6382e-06, 3.7813e-04, 5.5885e-04], [-3.1281e-04, -1.3075e-03, -8.5413e-05, ..., 1.3309e-06, -4.1294e-04, -9.7179e-04]], device='cuda:0') Epoch 91, bias, value: tensor([ 0.0042, -0.0183, -0.0170, 0.0318, -0.0326, 0.0289, -0.0274, -0.0128, 0.0237, -0.0245], device='cuda:0'), grad: tensor([ 1.9920e-04, 1.7613e-05, 1.4114e-04, -7.9572e-05, 1.1599e-04, 6.0415e-04, -4.3988e-04, 3.0443e-05, 1.6136e-03, -2.2011e-03], device='cuda:0') 100 0.0001 changing lr epoch 90, time 215.02, cls_loss 0.0048 cls_loss_mapping 0.0089 cls_loss_causal 0.5938 re_mapping 0.0095 re_causal 0.0292 /// teacc 98.84 lr 0.00010000 Epoch 92, weight, value: tensor([[-0.0363, -0.0646, -0.0501, ..., -0.1002, -0.0065, 0.0603], [ 0.0379, 0.0486, 0.0295, ..., 0.0645, -0.0870, -0.0519], [ 0.0398, 0.0342, -0.0661, ..., 0.0065, -0.0950, -0.0190], ..., [-0.0292, -0.0331, 0.0582, ..., -0.0672, -0.0136, 0.0171], [ 0.0052, 0.0713, 0.0942, ..., -0.0653, -0.0658, -0.0937], [-0.0796, 0.0073, -0.1292, ..., -0.0533, -0.0490, 0.0503]], device='cuda:0'), grad: tensor([[ 2.5798e-06, 3.1497e-06, 2.1607e-06, ..., 8.4331e-07, 5.7817e-06, 1.5488e-06], [ 9.5926e-07, 9.1037e-07, 3.8624e-05, ..., 5.0804e-07, 2.4177e-06, 2.5824e-05], [-8.7842e-06, -4.5262e-06, 5.3383e-06, ..., 5.6019e-07, 2.3246e-06, 1.6624e-06], ..., [ 3.9488e-07, 4.0187e-07, -6.3419e-05, ..., 2.6426e-07, 8.9221e-07, -3.9726e-05], [ 7.3500e-06, 9.0301e-06, 2.2035e-06, ..., 7.7561e-06, 1.5303e-05, 6.6869e-06], [ 2.7195e-06, 1.1013e-07, 1.0811e-05, ..., 1.5981e-06, 7.5512e-06, 8.9854e-06]], device='cuda:0') Epoch 92, bias, value: tensor([ 0.0043, -0.0179, -0.0175, 0.0313, -0.0325, 0.0292, -0.0273, -0.0127, 0.0216, -0.0232], device='cuda:0'), grad: tensor([ 1.3776e-05, 9.2208e-05, 2.5611e-06, 1.1384e-05, 3.3658e-06, 1.3900e-04, -2.0003e-04, -1.3649e-04, 4.0650e-05, 3.3289e-05], device='cuda:0') 100 0.0001 changing lr epoch 91, time 215.11, cls_loss 0.0050 cls_loss_mapping 0.0115 cls_loss_causal 0.5966 re_mapping 0.0094 re_causal 0.0283 /// teacc 98.79 lr 0.00010000 Epoch 93, weight, value: tensor([[-0.0373, -0.0649, -0.0508, ..., -0.1015, -0.0066, 0.0606], [ 0.0379, 0.0494, 0.0296, ..., 0.0647, -0.0866, -0.0516], [ 0.0406, 0.0343, -0.0664, ..., 0.0065, -0.0962, -0.0198], ..., [-0.0293, -0.0338, 0.0589, ..., -0.0677, -0.0143, 0.0179], [ 0.0049, 0.0715, 0.0944, ..., -0.0656, -0.0659, -0.0949], [-0.0809, 0.0071, -0.1300, ..., -0.0541, -0.0494, 0.0503]], device='cuda:0'), grad: tensor([[ 1.2191e-06, 5.7463e-07, 8.9500e-07, ..., 3.0361e-07, -5.0217e-06, -3.8922e-05], [ 6.2538e-07, 9.3319e-07, 2.0061e-06, ..., -6.9663e-07, 7.3668e-07, 1.1157e-06], [-7.0810e-05, -2.7101e-07, -3.5822e-05, ..., 6.7987e-07, 9.5367e-07, 2.7176e-06], ..., [ 1.1381e-06, 2.9039e-06, -2.4334e-05, ..., 4.2887e-07, 4.0582e-07, 1.8897e-06], [ 3.5971e-05, -5.2124e-05, -2.6658e-05, ..., -1.4924e-05, -1.1642e-06, 3.9451e-06], [ 5.5227e-07, -3.7700e-06, 4.4852e-06, ..., 2.1909e-07, 1.8915e-06, 2.6282e-06]], device='cuda:0') Epoch 93, bias, value: tensor([ 0.0042, -0.0177, -0.0172, 0.0319, -0.0324, 0.0284, -0.0271, -0.0123, 0.0210, -0.0237], device='cuda:0'), grad: tensor([-4.2677e-05, 5.9344e-06, -7.9751e-05, 7.2002e-05, 1.7643e-05, -1.9276e-04, 2.4748e-04, -3.3468e-05, -6.8322e-06, 1.1988e-05], device='cuda:0') 100 0.0001 changing lr epoch 92, time 215.06, cls_loss 0.0049 cls_loss_mapping 0.0103 cls_loss_causal 0.5732 re_mapping 0.0097 re_causal 0.0280 /// teacc 98.96 lr 0.00010000 Epoch 94, weight, value: tensor([[-0.0383, -0.0653, -0.0515, ..., -0.1016, -0.0064, 0.0609], [ 0.0383, 0.0499, 0.0302, ..., 0.0653, -0.0869, -0.0522], [ 0.0403, 0.0344, -0.0664, ..., 0.0063, -0.0966, -0.0196], ..., [-0.0306, -0.0357, 0.0586, ..., -0.0687, -0.0147, 0.0169], [ 0.0055, 0.0721, 0.0952, ..., -0.0659, -0.0660, -0.0933], [-0.0832, 0.0075, -0.1306, ..., -0.0543, -0.0498, 0.0508]], device='cuda:0'), grad: tensor([[ 1.5311e-06, 1.5069e-06, 1.5810e-05, ..., 1.3188e-06, 4.9323e-06, 8.1286e-06], [ 6.6357e-07, 6.3842e-07, 1.3910e-05, ..., -4.8801e-06, 2.3786e-06, 1.1504e-05], [-2.8964e-06, 1.7695e-06, 1.3314e-05, ..., 1.0682e-06, 3.3956e-06, 7.6666e-06], ..., [-5.1335e-06, 1.6866e-06, -1.9193e-04, ..., -1.5758e-06, -4.8339e-05, -1.4997e-04], [-1.2435e-05, -1.1660e-05, -1.1787e-05, ..., 9.5461e-07, 2.0396e-07, 5.5805e-06], [ 1.0155e-05, 2.8536e-06, 6.2108e-05, ..., 1.6345e-06, 1.3292e-05, 4.0621e-05]], device='cuda:0') Epoch 94, bias, value: tensor([ 0.0042, -0.0174, -0.0175, 0.0329, -0.0324, 0.0288, -0.0277, -0.0136, 0.0225, -0.0240], device='cuda:0'), grad: tensor([ 3.4869e-05, 2.9311e-05, 1.8910e-05, 1.7691e-04, 2.0698e-05, 5.0068e-05, -4.4256e-06, -4.5490e-04, -1.2018e-05, 1.4102e-04], device='cuda:0') 100 0.0001 changing lr epoch 93, time 214.97, cls_loss 0.0041 cls_loss_mapping 0.0105 cls_loss_causal 0.5656 re_mapping 0.0095 re_causal 0.0271 /// teacc 98.79 lr 0.00010000 Epoch 95, weight, value: tensor([[-0.0389, -0.0659, -0.0525, ..., -0.1018, -0.0055, 0.0616], [ 0.0389, 0.0498, 0.0308, ..., 0.0657, -0.0873, -0.0520], [ 0.0398, 0.0341, -0.0675, ..., 0.0063, -0.0972, -0.0204], ..., [-0.0315, -0.0361, 0.0586, ..., -0.0692, -0.0149, 0.0173], [ 0.0065, 0.0729, 0.0968, ..., -0.0660, -0.0665, -0.0929], [-0.0840, 0.0074, -0.1319, ..., -0.0548, -0.0504, 0.0506]], device='cuda:0'), grad: tensor([[ 1.8002e-06, 2.4568e-06, 2.6748e-06, ..., 1.0198e-06, 6.3051e-07, 1.3821e-06], [ 3.1090e-04, 1.1688e-04, 5.8174e-04, ..., 1.2234e-05, 1.8366e-06, 3.0436e-06], [ 2.1935e-05, 3.5226e-05, 4.8786e-05, ..., 1.4059e-05, 1.1409e-06, 9.8571e-06], ..., [-3.7122e-04, -7.6234e-05, -7.3910e-04, ..., 9.3356e-06, 2.5574e-06, -1.1377e-05], [-5.4874e-06, -6.2883e-05, 3.3319e-05, ..., -3.9935e-05, 9.0003e-06, 4.1753e-05], [ 1.3798e-05, -1.1426e-04, -7.3537e-06, ..., 2.6226e-06, -2.9624e-05, -1.4842e-04]], device='cuda:0') Epoch 95, bias, value: tensor([ 0.0046, -0.0171, -0.0183, 0.0330, -0.0323, 0.0290, -0.0279, -0.0136, 0.0233, -0.0247], device='cuda:0'), grad: tensor([ 7.6890e-06, 6.1178e-04, 7.0274e-05, 2.1204e-05, 1.9562e-04, 3.3140e-05, 8.2096e-07, -7.2336e-04, 5.4508e-05, -2.7156e-04], device='cuda:0') 100 0.0001 changing lr epoch 94, time 215.14, cls_loss 0.0039 cls_loss_mapping 0.0079 cls_loss_causal 0.6011 re_mapping 0.0095 re_causal 0.0289 /// teacc 98.78 lr 0.00010000 Epoch 96, weight, value: tensor([[-0.0393, -0.0662, -0.0529, ..., -0.1026, -0.0055, 0.0619], [ 0.0388, 0.0495, 0.0306, ..., 0.0657, -0.0878, -0.0520], [ 0.0396, 0.0337, -0.0690, ..., 0.0058, -0.0986, -0.0207], ..., [-0.0313, -0.0363, 0.0594, ..., -0.0691, -0.0143, 0.0174], [ 0.0078, 0.0740, 0.0987, ..., -0.0652, -0.0665, -0.0933], [-0.0844, 0.0074, -0.1325, ..., -0.0553, -0.0510, 0.0510]], device='cuda:0'), grad: tensor([[ 2.3171e-06, 2.6822e-06, 3.2801e-06, ..., 4.6529e-06, 3.6154e-06, -7.6830e-05], [-1.1325e-04, -8.6427e-05, -1.0693e-04, ..., -1.1456e-04, 5.1223e-07, 1.5631e-05], [ 1.4615e-04, 4.0948e-05, 8.2254e-05, ..., 4.2319e-05, 1.7919e-06, 6.4552e-05], ..., [-2.9728e-05, -6.7353e-05, -1.2898e-04, ..., 5.1968e-06, 3.2922e-07, -5.2154e-05], [ 7.7784e-05, 4.7237e-05, 6.9499e-05, ..., 4.8935e-05, 2.5928e-06, 5.9716e-06], [ 2.7105e-05, 3.5703e-05, 7.2360e-05, ..., 1.2908e-06, 1.9046e-07, 2.4751e-05]], device='cuda:0') Epoch 96, bias, value: tensor([ 0.0047, -0.0176, -0.0188, 0.0323, -0.0324, 0.0290, -0.0278, -0.0128, 0.0244, -0.0247], device='cuda:0'), grad: tensor([-1.0043e-04, -1.1122e-04, 3.4857e-04, -2.3329e-04, 2.9564e-05, 2.6315e-05, 2.1756e-06, -2.4581e-04, 1.3840e-04, 1.4555e-04], device='cuda:0') 100 0.0001 changing lr epoch 95, time 214.71, cls_loss 0.0037 cls_loss_mapping 0.0089 cls_loss_causal 0.5976 re_mapping 0.0089 re_causal 0.0275 /// teacc 98.86 lr 0.00010000 Epoch 97, weight, value: tensor([[-0.0399, -0.0667, -0.0533, ..., -0.1030, -0.0056, 0.0622], [ 0.0389, 0.0495, 0.0310, ..., 0.0664, -0.0868, -0.0503], [ 0.0401, 0.0337, -0.0692, ..., 0.0056, -0.0991, -0.0211], ..., [-0.0315, -0.0364, 0.0597, ..., -0.0697, -0.0149, 0.0171], [ 0.0078, 0.0742, 0.0988, ..., -0.0652, -0.0671, -0.0938], [-0.0849, 0.0076, -0.1336, ..., -0.0557, -0.0515, 0.0511]], device='cuda:0'), grad: tensor([[ 6.4867e-07, 1.0310e-06, 1.0720e-06, ..., 2.7139e-06, 4.8317e-06, -6.8033e-07], [ 3.6601e-06, 4.1835e-06, 6.4485e-06, ..., 1.7490e-06, 1.1921e-06, 4.9407e-07], [-1.4910e-06, 1.7798e-06, 2.7586e-06, ..., 8.6008e-07, 1.0449e-06, 6.2445e-07], ..., [ 1.8068e-06, 2.1830e-06, -1.0477e-07, ..., 6.5099e-07, 4.3213e-07, 1.7844e-06], [-2.6822e-05, -2.1875e-05, -3.0816e-05, ..., -1.2452e-06, -2.6263e-06, -4.5635e-07], [ 2.8647e-06, -1.7146e-06, 3.2261e-06, ..., 1.4538e-06, 1.9427e-06, -8.2031e-06]], device='cuda:0') Epoch 97, bias, value: tensor([ 0.0046, -0.0168, -0.0185, 0.0326, -0.0325, 0.0288, -0.0279, -0.0132, 0.0241, -0.0251], device='cuda:0'), grad: tensor([ 6.1467e-06, 9.6262e-06, -2.4028e-07, 3.0503e-05, 1.7602e-06, 1.2003e-05, -8.2925e-06, 4.5970e-06, -5.3495e-05, -2.5965e-06], device='cuda:0') 100 0.0001 changing lr epoch 96, time 214.98, cls_loss 0.0039 cls_loss_mapping 0.0083 cls_loss_causal 0.5718 re_mapping 0.0088 re_causal 0.0266 /// teacc 98.94 lr 0.00010000 Epoch 98, weight, value: tensor([[-0.0402, -0.0672, -0.0535, ..., -0.1049, -0.0064, 0.0629], [ 0.0387, 0.0490, 0.0310, ..., 0.0663, -0.0873, -0.0513], [ 0.0402, 0.0336, -0.0697, ..., 0.0056, -0.0996, -0.0222], ..., [-0.0317, -0.0370, 0.0599, ..., -0.0700, -0.0151, 0.0169], [ 0.0085, 0.0748, 0.0996, ..., -0.0653, -0.0672, -0.0941], [-0.0852, 0.0088, -0.1342, ..., -0.0559, -0.0518, 0.0522]], device='cuda:0'), grad: tensor([[ 1.3262e-06, 2.1867e-06, 4.1863e-07, ..., 1.7956e-06, -6.8367e-05, -2.7585e-04], [-5.4985e-06, -2.9132e-06, -1.7630e-06, ..., -3.7178e-06, 7.6219e-06, 5.6662e-06], [-1.2301e-05, -6.1095e-06, 1.1614e-06, ..., 3.0808e-06, 1.5765e-05, 4.6462e-05], ..., [ 2.3618e-06, 3.3639e-06, -8.6948e-06, ..., 6.3740e-06, 4.5635e-06, 2.4047e-06], [ 7.0073e-06, 4.3921e-06, -6.7567e-07, ..., 1.5460e-06, 3.1918e-05, 7.1645e-05], [ 2.4289e-06, 3.3844e-06, 5.6475e-06, ..., 4.4033e-06, 2.5973e-05, 7.6115e-05]], device='cuda:0') Epoch 98, bias, value: tensor([ 0.0046, -0.0174, -0.0187, 0.0327, -0.0329, 0.0280, -0.0271, -0.0132, 0.0244, -0.0243], device='cuda:0'), grad: tensor([-3.1638e-04, 8.9630e-06, 3.8087e-05, -1.1645e-05, -8.3447e-06, -1.3018e-04, 1.9765e-04, 4.4927e-06, 1.1128e-04, 1.0610e-04], device='cuda:0') 100 0.0001 changing lr epoch 97, time 215.13, cls_loss 0.0039 cls_loss_mapping 0.0091 cls_loss_causal 0.5324 re_mapping 0.0091 re_causal 0.0253 /// teacc 98.88 lr 0.00010000 Epoch 99, weight, value: tensor([[-0.0406, -0.0673, -0.0530, ..., -0.1052, -0.0060, 0.0634], [ 0.0386, 0.0488, 0.0309, ..., 0.0667, -0.0876, -0.0517], [ 0.0405, 0.0337, -0.0699, ..., 0.0054, -0.1002, -0.0226], ..., [-0.0314, -0.0369, 0.0605, ..., -0.0701, -0.0153, 0.0171], [ 0.0089, 0.0765, 0.1001, ..., -0.0656, -0.0668, -0.0946], [-0.0858, 0.0085, -0.1351, ..., -0.0568, -0.0522, 0.0526]], device='cuda:0'), grad: tensor([[ 2.4974e-05, 1.4976e-05, 1.2256e-05, ..., 8.4564e-07, -1.8319e-06, -6.6608e-06], [ 1.4178e-05, 9.3803e-06, 1.3992e-05, ..., 1.7611e-06, 1.8282e-06, 7.5996e-06], [-5.6744e-05, 2.5909e-06, 8.7172e-06, ..., 1.6876e-06, 2.8014e-06, -8.8587e-06], ..., [ 2.7284e-05, 6.6608e-06, -2.2858e-05, ..., 4.5076e-06, 2.2948e-06, -1.3933e-05], [-1.1855e-04, -8.8394e-05, -8.2374e-05, ..., -9.6206e-07, 3.8184e-07, 1.8310e-06], [ 2.1622e-05, 2.2441e-05, 2.1368e-05, ..., 1.3225e-05, 7.2829e-06, 1.0096e-05]], device='cuda:0') Epoch 99, bias, value: tensor([ 0.0053, -0.0179, -0.0185, 0.0322, -0.0325, 0.0282, -0.0284, -0.0127, 0.0252, -0.0246], device='cuda:0'), grad: tensor([ 6.5863e-05, 6.3181e-05, -6.4552e-05, 2.1851e-04, -2.1532e-05, -1.7107e-05, 2.6077e-05, 5.0617e-07, -3.8314e-04, 1.1182e-04], device='cuda:0') 100 0.0001 changing lr epoch 98, time 214.67, cls_loss 0.0039 cls_loss_mapping 0.0085 cls_loss_causal 0.5938 re_mapping 0.0086 re_causal 0.0269 /// teacc 98.96 lr 0.00010000 Epoch 100, weight, value: tensor([[-0.0415, -0.0676, -0.0539, ..., -0.1059, -0.0061, 0.0633], [ 0.0390, 0.0490, 0.0312, ..., 0.0672, -0.0881, -0.0517], [ 0.0409, 0.0338, -0.0701, ..., 0.0050, -0.1006, -0.0238], ..., [-0.0319, -0.0373, 0.0606, ..., -0.0707, -0.0154, 0.0171], [ 0.0088, 0.0766, 0.1006, ..., -0.0657, -0.0675, -0.0951], [-0.0865, 0.0086, -0.1361, ..., -0.0571, -0.0527, 0.0531]], device='cuda:0'), grad: tensor([[ 5.0031e-06, 3.4198e-06, 3.1153e-07, ..., 2.9430e-07, -9.5554e-07, 2.3422e-03], [ 1.8245e-06, 4.8894e-07, -2.9802e-06, ..., -5.0366e-06, 2.0489e-07, 2.9709e-06], [-6.5088e-05, -2.2233e-05, -3.1088e-06, ..., 9.4436e-07, 3.2503e-07, 3.0726e-05], ..., [ 2.4810e-05, 4.3437e-06, 6.1840e-07, ..., 2.3916e-06, 2.2678e-07, 8.1956e-06], [ 2.2694e-05, 1.2323e-05, 1.3765e-06, ..., 7.7253e-07, 5.2201e-07, 1.9163e-05], [ 1.2470e-06, -1.1824e-05, 1.1632e-06, ..., 3.8603e-07, 7.2503e-07, -2.4872e-03]], device='cuda:0') Epoch 100, bias, value: tensor([ 0.0051, -0.0177, -0.0184, 0.0320, -0.0327, 0.0289, -0.0281, -0.0130, 0.0249, -0.0247], device='cuda:0'), grad: tensor([ 2.4681e-03, 7.9870e-06, -1.2118e-04, 1.1593e-05, 6.7174e-05, 1.7628e-05, 2.5243e-05, 6.6280e-05, 6.9380e-05, -2.6131e-03], device='cuda:0') 100 0.0001 changing lr epoch 99, time 214.82, cls_loss 0.0044 cls_loss_mapping 0.0091 cls_loss_causal 0.5661 re_mapping 0.0090 re_causal 0.0263 /// teacc 98.88 lr 0.00010000 Epoch 101, weight, value: tensor([[-0.0425, -0.0682, -0.0553, ..., -0.1066, -0.0062, 0.0629], [ 0.0391, 0.0489, 0.0311, ..., 0.0669, -0.0888, -0.0518], [ 0.0413, 0.0342, -0.0701, ..., 0.0053, -0.1010, -0.0248], ..., [-0.0322, -0.0382, 0.0611, ..., -0.0707, -0.0155, 0.0166], [ 0.0090, 0.0773, 0.1015, ..., -0.0664, -0.0678, -0.0955], [-0.0867, 0.0083, -0.1375, ..., -0.0581, -0.0534, 0.0542]], device='cuda:0'), grad: tensor([[ 1.6009e-06, 3.3770e-06, 1.5721e-06, ..., 2.6301e-06, 2.6133e-06, -1.7527e-06], [-1.0379e-05, -9.4920e-06, -1.4611e-05, ..., -8.0615e-06, 1.9278e-06, 1.5441e-06], [ 7.7635e-06, 1.1198e-05, 7.2531e-06, ..., 7.9498e-06, 4.3288e-06, 3.8855e-06], ..., [ 7.2718e-06, 2.9840e-06, 3.2987e-06, ..., 2.7679e-06, 4.2543e-06, 8.1435e-06], [ 1.9178e-05, 5.2117e-06, 1.0818e-05, ..., 5.2825e-06, 1.1317e-05, 1.7822e-05], [ 1.7747e-05, 2.4308e-06, 8.6129e-06, ..., 2.1253e-06, 9.1791e-06, 2.1681e-05]], device='cuda:0') Epoch 101, bias, value: tensor([ 0.0042, -0.0181, -0.0181, 0.0315, -0.0319, 0.0294, -0.0288, -0.0132, 0.0253, -0.0244], device='cuda:0'), grad: tensor([ 1.0043e-05, -1.0714e-05, 3.8356e-05, -2.9516e-04, 5.9791e-06, 3.9399e-05, -3.3528e-05, 3.4899e-05, 1.0884e-04, 1.0192e-04], device='cuda:0') 100 0.0001 changing lr epoch 100, time 214.89, cls_loss 0.0041 cls_loss_mapping 0.0098 cls_loss_causal 0.5628 re_mapping 0.0088 re_causal 0.0258 /// teacc 99.02 lr 0.00010000 Epoch 102, weight, value: tensor([[-0.0431, -0.0704, -0.0559, ..., -0.1072, -0.0063, 0.0605], [ 0.0397, 0.0490, 0.0314, ..., 0.0674, -0.0895, -0.0523], [ 0.0412, 0.0341, -0.0711, ..., 0.0047, -0.1016, -0.0256], ..., [-0.0323, -0.0385, 0.0618, ..., -0.0710, -0.0156, 0.0168], [ 0.0087, 0.0771, 0.1013, ..., -0.0674, -0.0687, -0.0964], [-0.0870, 0.0086, -0.1384, ..., -0.0585, -0.0537, 0.0569]], device='cuda:0'), grad: tensor([[ 5.2154e-07, 1.6272e-05, 4.7917e-07, ..., 3.0510e-06, 1.9625e-05, -1.1164e-04], [-2.0146e-05, -1.2547e-05, -1.9506e-05, ..., -2.0102e-05, 1.5674e-06, 1.9670e-06], [ 1.0572e-05, 1.1466e-05, 1.4760e-05, ..., 1.3396e-05, 3.0678e-06, 4.7117e-05], ..., [ 4.9584e-06, 1.1101e-05, -1.0759e-05, ..., 1.8865e-05, 9.5665e-06, -3.7160e-06], [-9.9745e-07, 8.0885e-07, -1.9334e-06, ..., 2.0042e-06, 6.8545e-06, 9.1940e-06], [ 1.0300e-06, -7.8417e-07, 2.1495e-06, ..., 1.5013e-06, 3.2634e-06, 2.7969e-05]], device='cuda:0') Epoch 102, bias, value: tensor([ 0.0018, -0.0179, -0.0188, 0.0317, -0.0320, 0.0295, -0.0280, -0.0127, 0.0241, -0.0230], device='cuda:0'), grad: tensor([-1.4460e-04, -3.1650e-05, 1.0139e-04, 1.4976e-05, -8.0094e-06, 7.5221e-05, -8.6844e-05, 5.2415e-06, 2.2292e-05, 5.2035e-05], device='cuda:0') 100 0.0001 changing lr epoch 101, time 214.98, cls_loss 0.0033 cls_loss_mapping 0.0070 cls_loss_causal 0.5860 re_mapping 0.0085 re_causal 0.0259 /// teacc 98.88 lr 0.00010000 Epoch 103, weight, value: tensor([[-0.0437, -0.0707, -0.0562, ..., -0.1072, -0.0048, 0.0612], [ 0.0399, 0.0490, 0.0315, ..., 0.0676, -0.0901, -0.0523], [ 0.0414, 0.0341, -0.0714, ..., 0.0044, -0.1021, -0.0258], ..., [-0.0326, -0.0390, 0.0619, ..., -0.0715, -0.0160, 0.0167], [ 0.0086, 0.0772, 0.1017, ..., -0.0681, -0.0692, -0.0969], [-0.0874, 0.0079, -0.1390, ..., -0.0599, -0.0551, 0.0568]], device='cuda:0'), grad: tensor([[ 6.8545e-07, 6.9663e-07, 7.0315e-08, ..., -7.5158e-07, -3.1739e-06, -5.7369e-06], [-1.1083e-07, 2.3190e-07, -3.9954e-07, ..., -2.9569e-07, 2.4447e-07, 8.2701e-07], [-6.1430e-06, -4.9435e-06, 2.8405e-06, ..., 5.9046e-07, 5.7463e-07, 7.5344e-07], ..., [-5.1446e-06, 2.1141e-06, -1.0855e-05, ..., 1.0803e-06, 6.2026e-07, 3.5278e-06], [ 9.4399e-06, 8.1584e-06, 5.6112e-07, ..., 8.1817e-07, 1.3784e-06, 5.9009e-06], [ 7.1013e-07, -9.9763e-06, 4.8010e-07, ..., 9.8441e-07, 1.0012e-06, -1.7911e-05]], device='cuda:0') Epoch 103, bias, value: tensor([ 0.0028, -0.0179, -0.0186, 0.0319, -0.0307, 0.0293, -0.0285, -0.0130, 0.0237, -0.0238], device='cuda:0'), grad: tensor([-6.7167e-06, 2.4997e-06, -3.2075e-06, 8.2403e-06, 1.6078e-05, 5.4538e-06, 2.1905e-06, -9.3728e-06, 3.1441e-05, -4.6641e-05], device='cuda:0') 100 0.0001 changing lr epoch 102, time 215.23, cls_loss 0.0038 cls_loss_mapping 0.0073 cls_loss_causal 0.5548 re_mapping 0.0090 re_causal 0.0262 /// teacc 98.94 lr 0.00010000 Epoch 104, weight, value: tensor([[-0.0441, -0.0710, -0.0567, ..., -0.1075, -0.0047, 0.0614], [ 0.0405, 0.0490, 0.0317, ..., 0.0680, -0.0911, -0.0530], [ 0.0412, 0.0339, -0.0719, ..., 0.0039, -0.1026, -0.0264], ..., [-0.0332, -0.0392, 0.0618, ..., -0.0720, -0.0163, 0.0168], [ 0.0088, 0.0775, 0.1022, ..., -0.0684, -0.0698, -0.0971], [-0.0880, 0.0081, -0.1398, ..., -0.0602, -0.0551, 0.0571]], device='cuda:0'), grad: tensor([[ 2.0817e-05, 6.1607e-07, 1.3299e-06, ..., 1.4780e-06, -1.9297e-06, -8.6948e-06], [ 6.0275e-06, 1.0729e-06, 1.4782e-05, ..., 3.5558e-06, 4.0010e-06, 7.4180e-07], [ 9.7454e-06, 1.2899e-06, 7.6294e-05, ..., 3.4831e-06, 1.7937e-06, -6.5118e-06], ..., [-7.1943e-05, 1.5562e-06, -1.6701e-04, ..., 4.2766e-06, 1.8394e-06, -1.0645e-06], [ 9.6187e-06, 4.5681e-07, 1.6242e-05, ..., 4.6343e-06, 5.9009e-06, 2.2147e-06], [ 1.5110e-05, 3.9667e-05, 3.0190e-05, ..., 1.1355e-04, 5.4181e-05, 5.0291e-06]], device='cuda:0') Epoch 104, bias, value: tensor([ 0.0032, -0.0180, -0.0192, 0.0326, -0.0310, 0.0302, -0.0287, -0.0140, 0.0236, -0.0236], device='cuda:0'), grad: tensor([ 1.0604e-04, 5.4628e-05, 1.5870e-05, 4.9740e-05, -2.4676e-04, 1.2860e-05, 1.4350e-05, -3.5858e-04, 5.7966e-05, 2.9349e-04], device='cuda:0') 100 0.0001 changing lr epoch 103, time 215.32, cls_loss 0.0038 cls_loss_mapping 0.0088 cls_loss_causal 0.5732 re_mapping 0.0085 re_causal 0.0252 /// teacc 98.85 lr 0.00010000 Epoch 105, weight, value: tensor([[-0.0450, -0.0713, -0.0564, ..., -0.1078, -0.0048, 0.0616], [ 0.0405, 0.0492, 0.0318, ..., 0.0686, -0.0915, -0.0532], [ 0.0413, 0.0337, -0.0725, ..., 0.0035, -0.1033, -0.0267], ..., [-0.0327, -0.0395, 0.0626, ..., -0.0721, -0.0164, 0.0170], [ 0.0089, 0.0776, 0.1026, ..., -0.0688, -0.0704, -0.0976], [-0.0887, 0.0069, -0.1410, ..., -0.0620, -0.0564, 0.0573]], device='cuda:0'), grad: tensor([[ 3.5986e-06, 5.6103e-06, 8.6203e-06, ..., 2.4997e-06, -2.5928e-06, -1.0155e-05], [-6.8665e-05, -5.7220e-05, -1.7476e-04, ..., -9.7454e-05, -9.3207e-06, 6.3442e-06], [-1.4156e-07, 3.0082e-06, 6.9849e-06, ..., 3.3360e-06, 9.3039e-07, 9.1922e-07], ..., [ 2.7139e-06, 1.7956e-06, -1.8090e-05, ..., 2.4494e-06, -6.6962e-07, -5.1335e-06], [ 9.4771e-06, 2.4159e-06, 2.8029e-05, ..., 1.8865e-05, 1.6525e-05, 9.3132e-06], [ 1.6289e-06, 1.2685e-06, 8.4043e-06, ..., 1.3085e-06, 6.2644e-05, 6.7949e-05]], device='cuda:0') Epoch 105, bias, value: tensor([ 0.0035, -0.0182, -0.0192, 0.0328, -0.0293, 0.0301, -0.0290, -0.0135, 0.0232, -0.0248], device='cuda:0'), grad: tensor([ 2.6803e-06, -2.4652e-04, 8.5533e-06, 1.0544e-04, 3.3438e-05, -3.3021e-04, 2.5320e-04, -2.8059e-05, 6.1631e-05, 1.3983e-04], device='cuda:0') 100 0.0001 changing lr epoch 104, time 215.08, cls_loss 0.0038 cls_loss_mapping 0.0084 cls_loss_causal 0.5827 re_mapping 0.0081 re_causal 0.0252 /// teacc 98.93 lr 0.00010000 Epoch 106, weight, value: tensor([[-0.0459, -0.0721, -0.0571, ..., -0.1082, -0.0062, 0.0613], [ 0.0401, 0.0486, 0.0317, ..., 0.0692, -0.0917, -0.0534], [ 0.0416, 0.0340, -0.0727, ..., 0.0034, -0.1037, -0.0267], ..., [-0.0331, -0.0397, 0.0628, ..., -0.0724, -0.0166, 0.0169], [ 0.0102, 0.0779, 0.1040, ..., -0.0693, -0.0721, -0.0983], [-0.0890, 0.0070, -0.1413, ..., -0.0625, -0.0571, 0.0576]], device='cuda:0'), grad: tensor([[ 3.5437e-07, 5.9698e-07, 2.3609e-07, ..., 4.3958e-07, -5.4482e-07, -7.6257e-06], [-6.2361e-06, -1.7677e-06, -7.7188e-06, ..., -2.2110e-06, 7.1013e-07, -3.0976e-06], [-8.6799e-07, 1.1642e-07, 1.2955e-06, ..., 8.8802e-07, 8.7731e-07, 7.7905e-07], ..., [ 1.9707e-06, 8.4797e-07, -2.7148e-07, ..., 1.2964e-06, 8.8103e-07, 5.2294e-07], [ 5.1633e-06, 3.0734e-06, 2.2482e-06, ..., 2.3432e-06, 3.1404e-06, 1.9614e-06], [ 2.3153e-06, 1.3057e-06, 3.6061e-06, ..., 1.5376e-06, 1.2619e-06, 3.7737e-06]], device='cuda:0') Epoch 106, bias, value: tensor([ 0.0027, -0.0191, -0.0186, 0.0329, -0.0291, 0.0303, -0.0285, -0.0136, 0.0235, -0.0248], device='cuda:0'), grad: tensor([-7.7263e-06, -9.2462e-06, 1.9632e-06, -4.7088e-06, 9.3598e-07, -2.5239e-06, -7.1265e-06, 2.5779e-06, 1.6421e-05, 9.3579e-06], device='cuda:0') 100 0.0001 changing lr epoch 105, time 215.22, cls_loss 0.0034 cls_loss_mapping 0.0066 cls_loss_causal 0.5553 re_mapping 0.0084 re_causal 0.0244 /// teacc 98.92 lr 0.00010000 Epoch 107, weight, value: tensor([[-0.0463, -0.0726, -0.0575, ..., -0.1085, -0.0056, 0.0618], [ 0.0402, 0.0486, 0.0319, ..., 0.0695, -0.0922, -0.0535], [ 0.0420, 0.0343, -0.0731, ..., 0.0033, -0.1044, -0.0273], ..., [-0.0331, -0.0400, 0.0636, ..., -0.0725, -0.0166, 0.0170], [ 0.0098, 0.0778, 0.1039, ..., -0.0698, -0.0729, -0.0989], [-0.0897, 0.0070, -0.1426, ..., -0.0630, -0.0576, 0.0578]], device='cuda:0'), grad: tensor([[ 2.0918e-06, -2.9698e-05, 4.1500e-06, ..., 1.4277e-06, -9.5069e-05, -1.5354e-04], [ 6.1691e-06, -4.4480e-06, 2.0683e-05, ..., -5.6550e-06, 1.1940e-06, 2.4168e-07], [ 2.9981e-05, 2.3618e-06, 6.3062e-05, ..., 1.0952e-06, 2.4550e-06, 3.8296e-06], ..., [-1.6510e-04, 2.1141e-06, -3.4356e-04, ..., 1.9390e-06, 6.3423e-07, 2.2314e-06], [ 4.9889e-05, 1.9148e-05, 1.0151e-04, ..., 1.2023e-06, 1.6272e-05, 3.6150e-05], [ 7.3351e-06, -2.6613e-05, 1.2584e-05, ..., 1.1725e-06, 1.5527e-05, -9.1791e-06]], device='cuda:0') Epoch 107, bias, value: tensor([ 0.0034, -0.0192, -0.0186, 0.0333, -0.0296, 0.0298, -0.0280, -0.0129, 0.0227, -0.0250], device='cuda:0'), grad: tensor([-3.5930e-04, 3.0816e-05, 9.7990e-05, 2.5630e-04, 7.1108e-05, 6.2704e-05, 8.5175e-05, -4.8089e-04, 2.3127e-04, 4.4703e-06], device='cuda:0') 100 0.0001 changing lr epoch 106, time 215.04, cls_loss 0.0031 cls_loss_mapping 0.0074 cls_loss_causal 0.5595 re_mapping 0.0082 re_causal 0.0253 /// teacc 98.90 lr 0.00010000 Epoch 108, weight, value: tensor([[-0.0468, -0.0731, -0.0580, ..., -0.1088, -0.0056, 0.0618], [ 0.0410, 0.0491, 0.0328, ..., 0.0703, -0.0924, -0.0535], [ 0.0421, 0.0344, -0.0736, ..., 0.0031, -0.1047, -0.0273], ..., [-0.0333, -0.0405, 0.0638, ..., -0.0731, -0.0169, 0.0168], [ 0.0097, 0.0774, 0.1036, ..., -0.0708, -0.0735, -0.0993], [-0.0899, 0.0075, -0.1439, ..., -0.0632, -0.0577, 0.0585]], device='cuda:0'), grad: tensor([[ 6.1141e-07, 1.3486e-06, 4.9779e-07, ..., 7.4552e-07, 2.3879e-06, -2.0722e-07], [-4.3027e-06, -1.9781e-06, -5.4091e-06, ..., -3.6377e-06, 8.0513e-07, 1.0412e-06], [-3.8370e-06, -1.0813e-06, 4.9807e-06, ..., 1.2023e-06, 4.0932e-07, 4.0652e-07], ..., [-2.4606e-06, 6.7009e-07, -1.4238e-05, ..., 6.5379e-07, 2.4214e-07, -8.9332e-06], [-7.2233e-06, -2.1338e-05, -1.1623e-05, ..., 9.8646e-06, 4.7922e-05, 1.2480e-06], [ 2.1160e-05, 2.8059e-05, 2.1964e-05, ..., 3.9581e-07, 1.4231e-06, 1.4216e-05]], device='cuda:0') Epoch 108, bias, value: tensor([ 0.0033, -0.0184, -0.0183, 0.0337, -0.0301, 0.0297, -0.0278, -0.0135, 0.0218, -0.0246], device='cuda:0'), grad: tensor([ 4.9882e-06, -1.2247e-06, 3.0473e-06, -7.6443e-06, 9.2238e-06, -1.2350e-04, 3.5614e-05, -2.4438e-05, 3.0160e-05, 7.3910e-05], device='cuda:0') 100 0.0001 changing lr epoch 107, time 215.16, cls_loss 0.0042 cls_loss_mapping 0.0085 cls_loss_causal 0.5949 re_mapping 0.0085 re_causal 0.0260 /// teacc 98.89 lr 0.00010000 Epoch 109, weight, value: tensor([[-0.0477, -0.0748, -0.0585, ..., -0.1083, -0.0051, 0.0620], [ 0.0422, 0.0493, 0.0334, ..., 0.0706, -0.0929, -0.0537], [ 0.0412, 0.0340, -0.0749, ..., 0.0029, -0.1051, -0.0277], ..., [-0.0336, -0.0408, 0.0643, ..., -0.0734, -0.0171, 0.0169], [ 0.0116, 0.0803, 0.1050, ..., -0.0710, -0.0728, -0.1001], [-0.0908, 0.0074, -0.1451, ..., -0.0634, -0.0581, 0.0590]], device='cuda:0'), grad: tensor([[ 5.0396e-05, 7.7933e-06, 1.7323e-07, ..., 1.9912e-06, 3.6936e-06, 3.8324e-07], [-1.5153e-06, 1.5534e-06, -4.2580e-06, ..., -7.8790e-07, 1.8226e-06, 4.8475e-07], [ 7.8827e-06, 7.7933e-06, 1.2666e-06, ..., 3.3528e-06, 4.6790e-06, 9.4995e-07], ..., [ 2.1011e-06, 8.4005e-07, -1.1781e-06, ..., 1.2964e-06, 1.6103e-06, 2.1234e-06], [ 1.8012e-06, 1.1206e-05, -1.9744e-07, ..., 5.5097e-06, 9.2760e-06, 3.6601e-06], [ 9.5926e-07, 5.9884e-07, 1.1716e-06, ..., 6.4215e-07, 3.2019e-06, 3.9786e-06]], device='cuda:0') Epoch 109, bias, value: tensor([ 0.0032, -0.0180, -0.0193, 0.0337, -0.0301, 0.0277, -0.0287, -0.0134, 0.0245, -0.0247], device='cuda:0'), grad: tensor([ 1.7095e-04, 1.2182e-06, 3.8475e-05, -1.8716e-04, 1.4797e-05, -2.8282e-05, -5.7966e-05, 4.5002e-06, 3.2932e-05, 1.0572e-05], device='cuda:0') 100 0.0001 changing lr epoch 108, time 214.96, cls_loss 0.0037 cls_loss_mapping 0.0095 cls_loss_causal 0.5665 re_mapping 0.0081 re_causal 0.0240 /// teacc 98.87 lr 0.00010000 Epoch 110, weight, value: tensor([[-0.0486, -0.0754, -0.0591, ..., -0.1086, -0.0049, 0.0623], [ 0.0424, 0.0494, 0.0336, ..., 0.0709, -0.0932, -0.0542], [ 0.0416, 0.0350, -0.0761, ..., 0.0028, -0.1055, -0.0280], ..., [-0.0335, -0.0414, 0.0650, ..., -0.0736, -0.0172, 0.0172], [ 0.0110, 0.0801, 0.1053, ..., -0.0715, -0.0730, -0.1008], [-0.0915, 0.0074, -0.1460, ..., -0.0637, -0.0583, 0.0593]], device='cuda:0'), grad: tensor([[ 1.4575e-06, 3.6240e-05, 2.2650e-06, ..., 1.2800e-05, 5.3823e-05, 7.6830e-05], [ 5.0999e-06, 8.4415e-06, 9.8497e-06, ..., -1.3113e-06, 1.7472e-06, 2.6692e-06], [ 4.0326e-07, 6.4448e-06, 3.2596e-06, ..., 1.8161e-06, 7.8231e-06, 1.1891e-05], ..., [ 2.8014e-06, 4.7535e-06, 2.0172e-06, ..., 8.9314e-07, 2.8610e-06, 3.7346e-06], [-2.1845e-05, -6.0648e-06, -3.8922e-05, ..., 8.7321e-06, 3.9637e-05, 5.7995e-05], [ 1.0841e-06, -1.5247e-04, 2.2762e-06, ..., -5.6207e-05, -2.5368e-04, -3.7527e-04]], device='cuda:0') Epoch 110, bias, value: tensor([ 0.0035, -0.0183, -0.0191, 0.0337, -0.0302, 0.0273, -0.0286, -0.0126, 0.0238, -0.0246], device='cuda:0'), grad: tensor([ 1.7273e-04, 1.7464e-05, 2.7314e-05, 4.0233e-05, 1.6117e-04, 2.3782e-04, 5.6207e-05, 1.2033e-05, 7.2479e-05, -7.9823e-04], device='cuda:0') 100 0.0001 changing lr epoch 109, time 214.96, cls_loss 0.0036 cls_loss_mapping 0.0091 cls_loss_causal 0.5630 re_mapping 0.0082 re_causal 0.0247 /// teacc 98.90 lr 0.00010000 Epoch 111, weight, value: tensor([[-0.0496, -0.0747, -0.0600, ..., -0.1104, -0.0037, 0.0632], [ 0.0427, 0.0494, 0.0336, ..., 0.0712, -0.0940, -0.0548], [ 0.0423, 0.0359, -0.0768, ..., 0.0023, -0.1062, -0.0289], ..., [-0.0337, -0.0416, 0.0656, ..., -0.0734, -0.0172, 0.0175], [ 0.0106, 0.0804, 0.1062, ..., -0.0709, -0.0733, -0.1015], [-0.0920, 0.0078, -0.1472, ..., -0.0637, -0.0588, 0.0596]], device='cuda:0'), grad: tensor([[ 4.6333e-07, 5.7835e-07, 4.8755e-07, ..., 2.4354e-07, 8.6147e-07, -1.3886e-06], [ 1.0349e-05, 1.2301e-05, 1.3568e-05, ..., 2.2491e-07, 5.3970e-07, 4.7404e-07], [-7.8529e-06, -4.0270e-06, 1.1371e-06, ..., 8.0653e-07, 7.0920e-07, 4.3446e-07], ..., [ 2.1271e-06, 2.2426e-06, -6.7912e-06, ..., 8.2003e-07, 8.6008e-07, -7.4878e-07], [-8.6352e-06, -2.6062e-05, -3.7909e-05, ..., 9.3877e-07, 6.2883e-06, 3.1721e-06], [ 6.3377e-07, 7.7812e-07, 3.0361e-06, ..., 9.7789e-07, 2.8163e-06, 2.6450e-06]], device='cuda:0') Epoch 111, bias, value: tensor([ 0.0046, -0.0185, -0.0185, 0.0331, -0.0309, 0.0277, -0.0294, -0.0121, 0.0238, -0.0246], device='cuda:0'), grad: tensor([-1.0990e-06, 2.6286e-05, -7.5586e-06, 3.8028e-05, -5.3495e-06, -1.4499e-05, 1.2726e-05, -2.0325e-05, -4.2886e-05, 1.4693e-05], device='cuda:0') 100 0.0001 changing lr epoch 110, time 215.30, cls_loss 0.0057 cls_loss_mapping 0.0110 cls_loss_causal 0.5656 re_mapping 0.0087 re_causal 0.0240 /// teacc 99.04 lr 0.00010000 Epoch 112, weight, value: tensor([[-0.0510, -0.0774, -0.0608, ..., -0.1133, -0.0049, 0.0634], [ 0.0433, 0.0507, 0.0339, ..., 0.0728, -0.0951, -0.0542], [ 0.0423, 0.0372, -0.0784, ..., 0.0003, -0.1071, -0.0299], ..., [-0.0327, -0.0418, 0.0671, ..., -0.0729, -0.0176, 0.0174], [ 0.0098, 0.0791, 0.1060, ..., -0.0714, -0.0746, -0.1042], [-0.0926, 0.0085, -0.1483, ..., -0.0642, -0.0585, 0.0607]], device='cuda:0'), grad: tensor([[ 1.4342e-06, 5.9977e-07, 2.4512e-06, ..., 8.4564e-07, 4.7497e-07, 1.8537e-04], [-2.5053e-07, -9.2387e-06, 5.6773e-05, ..., -2.0832e-05, 1.2517e-06, 5.6863e-05], [ 1.2636e-04, 2.0526e-06, 2.2376e-04, ..., 4.9472e-06, 9.2015e-07, 3.2365e-05], ..., [-1.7810e-04, 3.2242e-06, -4.2963e-04, ..., -2.1070e-05, -1.9997e-05, -1.3018e-04], [ 1.3955e-05, 1.8859e-06, 1.9982e-05, ..., 3.0641e-06, 1.7611e-06, 1.0625e-05], [ 1.2219e-05, -4.4741e-06, 5.0038e-05, ..., 7.9349e-06, 6.2846e-06, -2.5153e-04]], device='cuda:0') Epoch 112, bias, value: tensor([ 0.0044, -0.0177, -0.0188, 0.0327, -0.0314, 0.0284, -0.0299, -0.0109, 0.0222, -0.0241], device='cuda:0'), grad: tensor([ 2.3878e-04, 2.8968e-04, 4.7612e-04, 7.7963e-05, 1.7107e-04, 8.8736e-06, 4.2468e-06, -1.1635e-03, 5.7459e-05, -1.6105e-04], device='cuda:0') 100 0.0001 changing lr epoch 111, time 214.89, cls_loss 0.0039 cls_loss_mapping 0.0069 cls_loss_causal 0.5394 re_mapping 0.0085 re_causal 0.0245 /// teacc 98.88 lr 0.00010000 Epoch 113, weight, value: tensor([[-5.1787e-02, -7.7825e-02, -6.1426e-02, ..., -1.1396e-01, -5.2823e-03, 6.3526e-02], [ 4.3733e-02, 5.1056e-02, 3.5040e-02, ..., 7.3322e-02, -9.5601e-02, -5.4597e-02], [ 4.2485e-02, 3.7121e-02, -7.9012e-02, ..., 1.1022e-04, -1.0772e-01, -3.0432e-02], ..., [-3.3911e-02, -4.2557e-02, 6.6904e-02, ..., -7.2592e-02, -1.7735e-02, 1.7373e-02], [ 9.4391e-03, 7.8871e-02, 1.0631e-01, ..., -7.2099e-02, -7.5467e-02, -1.0526e-01], [-9.2680e-02, 9.2090e-03, -1.5009e-01, ..., -6.4699e-02, -5.8391e-02, 6.1145e-02]], device='cuda:0'), grad: tensor([[ 5.3551e-07, 4.0280e-07, -2.8079e-07, ..., -8.0559e-08, 6.9618e-05, -4.1276e-06], [-5.8711e-06, -3.4589e-06, -5.1521e-06, ..., -5.8524e-06, 4.4890e-06, 9.3207e-06], [-5.2676e-06, 3.5157e-07, 8.5169e-07, ..., 1.0543e-06, 7.6294e-06, 6.9551e-06], ..., [ 1.2675e-06, 1.6131e-06, -6.5938e-07, ..., 1.1437e-06, 2.7474e-06, 9.3579e-06], [ 2.1942e-06, 1.1306e-06, 8.1398e-07, ..., 8.6287e-07, 1.6123e-05, 2.3812e-05], [ 3.4692e-07, -9.7677e-06, -1.2210e-06, ..., 9.9465e-07, 1.0155e-05, -3.1739e-05]], device='cuda:0') Epoch 113, bias, value: tensor([ 0.0042, -0.0174, -0.0189, 0.0331, -0.0314, 0.0295, -0.0310, -0.0110, 0.0214, -0.0240], device='cuda:0'), grad: tensor([ 1.4387e-05, 9.4920e-06, 6.6273e-06, 4.1795e-04, 5.7787e-05, 2.1191e-03, -2.6455e-03, 2.2858e-05, 5.7936e-05, -6.2704e-05], device='cuda:0') 100 0.0001 changing lr epoch 112, time 214.60, cls_loss 0.0036 cls_loss_mapping 0.0071 cls_loss_causal 0.5872 re_mapping 0.0080 re_causal 0.0246 /// teacc 99.01 lr 0.00010000 Epoch 114, weight, value: tensor([[-0.0524, -0.0782, -0.0616, ..., -0.1147, -0.0045, 0.0640], [ 0.0434, 0.0506, 0.0346, ..., 0.0730, -0.0962, -0.0555], [ 0.0429, 0.0375, -0.0791, ..., 0.0003, -0.1084, -0.0306], ..., [-0.0340, -0.0431, 0.0674, ..., -0.0737, -0.0187, 0.0174], [ 0.0097, 0.0793, 0.1071, ..., -0.0724, -0.0757, -0.1053], [-0.0930, 0.0082, -0.1508, ..., -0.0654, -0.0590, 0.0614]], device='cuda:0'), grad: tensor([[ 4.1239e-06, 6.2352e-07, 6.2585e-07, ..., 7.0594e-07, 6.3702e-07, -7.1200e-07], [ 1.4469e-05, 2.3423e-07, -2.5914e-07, ..., -1.5497e-06, 5.0571e-07, 2.6845e-07], [ 2.0161e-05, 3.2540e-06, 5.5768e-06, ..., 2.5108e-06, 1.6708e-06, 4.8336e-07], ..., [ 3.3140e-05, 8.5356e-07, -8.5354e-05, ..., -1.0121e-04, -8.8453e-05, -6.2108e-05], [ 2.4676e-04, 8.1360e-06, 2.3812e-05, ..., 7.2690e-07, 1.5171e-06, 1.3700e-06], [ 7.6368e-06, 1.0608e-06, 3.7979e-06, ..., 2.8666e-06, 3.5167e-06, 4.2208e-06]], device='cuda:0') Epoch 114, bias, value: tensor([ 0.0046, -0.0181, -0.0184, 0.0326, -0.0294, 0.0291, -0.0307, -0.0111, 0.0219, -0.0251], device='cuda:0'), grad: tensor([ 8.9258e-06, 3.0443e-05, -2.4199e-05, -6.1989e-04, 3.7527e-04, 2.1890e-05, -8.6427e-06, -2.6226e-04, 4.4823e-04, 2.9340e-05], device='cuda:0') 100 0.0001 changing lr epoch 113, time 215.12, cls_loss 0.0033 cls_loss_mapping 0.0066 cls_loss_causal 0.5626 re_mapping 0.0076 re_causal 0.0234 /// teacc 98.93 lr 0.00010000 Epoch 115, weight, value: tensor([[-5.3061e-02, -7.8882e-02, -6.2168e-02, ..., -1.1525e-01, -4.6398e-03, 6.4190e-02], [ 4.3721e-02, 5.0802e-02, 3.5325e-02, ..., 7.4097e-02, -9.6614e-02, -5.5407e-02], [ 4.2918e-02, 3.7386e-02, -7.9829e-02, ..., 2.4241e-05, -1.0887e-01, -3.1259e-02], ..., [-3.4388e-02, -4.3693e-02, 6.7664e-02, ..., -7.4840e-02, -1.8598e-02, 1.7805e-02], [ 1.0271e-02, 8.0415e-02, 1.0868e-01, ..., -7.1779e-02, -7.5909e-02, -1.0610e-01], [-9.3884e-02, 8.4570e-03, -1.5292e-01, ..., -6.5949e-02, -5.9305e-02, 6.1568e-02]], device='cuda:0'), grad: tensor([[ 2.9430e-07, 1.7717e-05, 2.7916e-07, ..., 1.7462e-06, 1.1754e-04, 7.9334e-05], [ 3.2806e-07, 8.1444e-07, -1.4505e-07, ..., 2.7893e-07, 9.7603e-07, 9.6392e-07], [-1.8231e-07, 1.2936e-06, 5.7695e-07, ..., 8.1491e-07, 1.6484e-06, 7.7998e-07], ..., [ 4.3004e-07, 9.4203e-07, 3.0920e-07, ..., 1.2349e-06, 7.5623e-07, 1.7136e-07], [-1.3784e-06, -1.7118e-06, -1.8608e-06, ..., 5.2340e-07, 4.1723e-06, 2.9076e-06], [ 1.2815e-06, 3.5074e-06, 3.2876e-07, ..., 3.5930e-06, 5.5693e-06, 2.8051e-06]], device='cuda:0') Epoch 115, bias, value: tensor([ 0.0045, -0.0176, -0.0186, 0.0330, -0.0299, 0.0286, -0.0311, -0.0111, 0.0226, -0.0255], device='cuda:0'), grad: tensor([ 1.4329e-04, 4.3996e-06, 3.0715e-06, -4.8876e-06, -2.4110e-05, 5.2974e-06, -1.4961e-04, 3.5986e-06, 2.0433e-06, 1.7121e-05], device='cuda:0') 100 0.0001 changing lr epoch 114, time 215.33, cls_loss 0.0038 cls_loss_mapping 0.0077 cls_loss_causal 0.5406 re_mapping 0.0079 re_causal 0.0230 /// teacc 98.81 lr 0.00010000 Epoch 116, weight, value: tensor([[-5.2841e-02, -7.9164e-02, -6.2563e-02, ..., -1.1506e-01, -3.5961e-03, 6.3209e-02], [ 4.3692e-02, 5.0865e-02, 3.5259e-02, ..., 7.4509e-02, -9.7065e-02, -5.5508e-02], [ 4.2961e-02, 3.7401e-02, -8.0385e-02, ..., -4.0967e-05, -1.0948e-01, -3.2223e-02], ..., [-3.4191e-02, -4.4112e-02, 6.8397e-02, ..., -7.5396e-02, -1.8862e-02, 1.7854e-02], [ 9.7838e-03, 8.0252e-02, 1.0902e-01, ..., -7.2082e-02, -7.6545e-02, -1.0778e-01], [-9.4056e-02, 8.9261e-03, -1.5377e-01, ..., -6.6156e-02, -5.8473e-02, 6.3807e-02]], device='cuda:0'), grad: tensor([[ 3.4296e-07, 2.0619e-06, 2.7777e-07, ..., 4.2655e-07, 1.5199e-06, -8.6054e-06], [-2.1588e-06, 1.0598e-06, -3.8780e-06, ..., -4.8010e-07, 2.4699e-06, 5.5879e-07], [-1.2428e-05, -1.3094e-06, -7.9069e-07, ..., 1.4575e-06, 2.0172e-06, 1.9260e-06], ..., [-1.6272e-05, 2.1830e-06, -6.5029e-05, ..., 2.8275e-06, 1.4156e-06, -1.9819e-05], [-1.9237e-05, 4.6313e-05, -7.7933e-06, ..., 6.0499e-06, 2.8387e-05, 2.7586e-06], [ 1.3039e-06, 1.9534e-07, 2.3264e-06, ..., 2.4885e-06, 7.1265e-06, 1.2867e-05]], device='cuda:0') Epoch 116, bias, value: tensor([ 0.0037, -0.0177, -0.0187, 0.0332, -0.0301, 0.0284, -0.0319, -0.0108, 0.0218, -0.0238], device='cuda:0'), grad: tensor([-5.7556e-06, 4.5784e-06, -1.0550e-05, 2.0719e-04, -6.6310e-06, -1.4072e-06, -1.2052e-04, -1.5140e-04, 6.1333e-05, 2.3291e-05], device='cuda:0') 100 0.0001 changing lr epoch 115, time 215.01, cls_loss 0.0035 cls_loss_mapping 0.0076 cls_loss_causal 0.5774 re_mapping 0.0079 re_causal 0.0246 /// teacc 98.95 lr 0.00010000 Epoch 117, weight, value: tensor([[-0.0516, -0.0792, -0.0630, ..., -0.1151, -0.0025, 0.0641], [ 0.0441, 0.0506, 0.0366, ..., 0.0745, -0.0976, -0.0544], [ 0.0430, 0.0371, -0.0807, ..., -0.0003, -0.1104, -0.0337], ..., [-0.0361, -0.0450, 0.0672, ..., -0.0757, -0.0191, 0.0165], [ 0.0105, 0.0802, 0.1100, ..., -0.0725, -0.0774, -0.1090], [-0.0945, 0.0098, -0.1535, ..., -0.0666, -0.0592, 0.0640]], device='cuda:0'), grad: tensor([[ 1.7183e-07, 5.6112e-08, 1.0966e-07, ..., 3.9227e-06, 6.0759e-06, -2.5574e-06], [ 4.4936e-07, 2.4773e-07, 6.2631e-08, ..., -1.5460e-07, 4.6566e-07, 8.2050e-07], [-2.2333e-06, -3.8766e-07, 2.5169e-07, ..., 2.9448e-06, 4.3288e-06, 4.9733e-07], ..., [ 2.3399e-07, 1.6345e-07, -4.2990e-06, ..., 1.7462e-07, 6.1234e-08, -2.6673e-06], [ 3.1432e-08, 2.7474e-08, -6.5053e-07, ..., 1.9791e-07, 3.0641e-07, 8.2795e-07], [ 1.5832e-07, -5.3737e-07, 3.3192e-06, ..., 1.2498e-06, 6.6822e-07, 1.8743e-07]], device='cuda:0') Epoch 117, bias, value: tensor([ 0.0049, -0.0172, -0.0190, 0.0329, -0.0301, 0.0280, -0.0313, -0.0117, 0.0212, -0.0235], device='cuda:0'), grad: tensor([ 9.8795e-06, 3.0566e-06, 6.2138e-06, 2.6338e-06, 2.5973e-05, 7.1116e-06, -5.5224e-05, -5.7667e-06, 1.9986e-06, 4.2394e-06], device='cuda:0') 100 0.0001 changing lr epoch 116, time 214.82, cls_loss 0.0030 cls_loss_mapping 0.0053 cls_loss_causal 0.5355 re_mapping 0.0076 re_causal 0.0230 /// teacc 98.93 lr 0.00010000 Epoch 118, weight, value: tensor([[-0.0519, -0.0790, -0.0632, ..., -0.1151, -0.0022, 0.0644], [ 0.0436, 0.0505, 0.0358, ..., 0.0747, -0.0983, -0.0538], [ 0.0432, 0.0372, -0.0810, ..., -0.0003, -0.1109, -0.0340], ..., [-0.0352, -0.0455, 0.0680, ..., -0.0761, -0.0193, 0.0163], [ 0.0106, 0.0801, 0.1102, ..., -0.0738, -0.0781, -0.1094], [-0.0950, 0.0095, -0.1548, ..., -0.0672, -0.0596, 0.0640]], device='cuda:0'), grad: tensor([[ 1.9185e-07, 9.8161e-07, 1.4738e-07, ..., 5.8394e-07, 1.6140e-06, -2.4009e-06], [ 1.1995e-06, 2.6077e-08, 3.3132e-07, ..., -1.8789e-07, 1.8571e-06, 1.8235e-06], [-3.8999e-07, 6.4960e-07, 2.1956e-07, ..., 4.4145e-07, 1.9595e-06, 1.5423e-06], ..., [ 1.1753e-06, 3.9209e-07, 4.0978e-07, ..., 4.8941e-07, 1.3569e-06, 1.3830e-06], [ 3.1409e-07, 7.1106e-07, -4.0513e-08, ..., 4.3283e-07, 2.9895e-06, 2.8852e-06], [ 9.3924e-07, 3.2806e-07, 6.8871e-07, ..., 9.4995e-07, 2.3767e-05, 2.3738e-05]], device='cuda:0') Epoch 118, bias, value: tensor([ 0.0054, -0.0177, -0.0189, 0.0325, -0.0296, 0.0280, -0.0313, -0.0111, 0.0211, -0.0239], device='cuda:0'), grad: tensor([ 1.4175e-06, 1.0692e-05, 5.6550e-06, 6.4430e-03, 5.8189e-06, -6.5651e-03, -8.7321e-06, 7.6108e-06, 1.0908e-05, 8.7798e-05], device='cuda:0') 100 0.0001 changing lr epoch 117, time 215.19, cls_loss 0.0032 cls_loss_mapping 0.0073 cls_loss_causal 0.5806 re_mapping 0.0072 re_causal 0.0222 /// teacc 98.92 lr 0.00010000 Epoch 119, weight, value: tensor([[-0.0526, -0.0799, -0.0643, ..., -0.1157, -0.0021, 0.0646], [ 0.0434, 0.0507, 0.0348, ..., 0.0751, -0.0997, -0.0540], [ 0.0433, 0.0372, -0.0815, ..., -0.0006, -0.1113, -0.0346], ..., [-0.0345, -0.0459, 0.0689, ..., -0.0763, -0.0191, 0.0164], [ 0.0105, 0.0800, 0.1106, ..., -0.0741, -0.0785, -0.1100], [-0.0956, 0.0095, -0.1555, ..., -0.0676, -0.0600, 0.0642]], device='cuda:0'), grad: tensor([[ 5.8487e-06, 4.1388e-06, 6.4485e-06, ..., 3.1181e-06, -8.1258e-08, -1.5190e-06], [-2.2554e-04, -2.5129e-04, -3.9649e-04, ..., -1.9586e-04, 1.6997e-07, -1.2957e-05], [ 2.3544e-05, 1.5318e-05, 1.6540e-05, ..., 1.8403e-05, 1.8626e-07, 9.4920e-06], ..., [ 1.6347e-05, 1.7062e-05, 2.3142e-05, ..., 1.2599e-05, 2.1956e-07, 3.9954e-07], [ 4.9978e-05, 6.2287e-05, 1.0020e-04, ..., 4.5955e-05, 2.4354e-07, 1.9725e-06], [ 6.5938e-06, 2.5984e-06, 1.2308e-05, ..., 6.5379e-06, 3.1516e-06, -7.4059e-06]], device='cuda:0') Epoch 119, bias, value: tensor([ 0.0054, -0.0183, -0.0190, 0.0318, -0.0298, 0.0287, -0.0309, -0.0105, 0.0211, -0.0241], device='cuda:0'), grad: tensor([ 2.2575e-05, -8.8501e-04, 3.3557e-05, 1.4886e-05, 1.7560e-04, 6.2525e-05, 2.6941e-04, 6.5386e-05, 2.2256e-04, 1.8060e-05], device='cuda:0') 100 0.0001 changing lr epoch 118, time 215.35, cls_loss 0.0035 cls_loss_mapping 0.0065 cls_loss_causal 0.5305 re_mapping 0.0073 re_causal 0.0223 /// teacc 98.93 lr 0.00010000 Epoch 120, weight, value: tensor([[-0.0525, -0.0806, -0.0645, ..., -0.1156, -0.0018, 0.0649], [ 0.0434, 0.0505, 0.0349, ..., 0.0754, -0.1003, -0.0543], [ 0.0432, 0.0367, -0.0822, ..., -0.0008, -0.1120, -0.0354], ..., [-0.0347, -0.0461, 0.0690, ..., -0.0765, -0.0197, 0.0160], [ 0.0111, 0.0831, 0.1114, ..., -0.0745, -0.0763, -0.1080], [-0.0962, 0.0100, -0.1562, ..., -0.0680, -0.0604, 0.0645]], device='cuda:0'), grad: tensor([[ 1.2806e-07, -2.1905e-05, -3.0011e-05, ..., 5.7044e-08, -7.4552e-07, -5.7429e-05], [ 4.7684e-07, 4.1686e-06, 3.8520e-06, ..., 1.8557e-07, 5.5134e-07, 6.5006e-06], [-1.0030e-06, 6.8918e-06, 7.3127e-06, ..., 2.1025e-07, 5.8720e-07, 9.4697e-06], ..., [ 2.4051e-07, 1.6587e-06, 8.1304e-07, ..., 1.9628e-07, 4.3330e-07, 2.0061e-06], [-2.2724e-06, -1.5005e-05, -5.7928e-06, ..., -6.8173e-07, 2.8685e-07, 2.8878e-05], [ 6.5193e-07, -4.0591e-05, 3.5353e-06, ..., -2.3283e-06, -1.1511e-05, -7.0870e-05]], device='cuda:0') Epoch 120, bias, value: tensor([ 0.0058, -0.0185, -0.0193, 0.0322, -0.0302, 0.0273, -0.0322, -0.0106, 0.0231, -0.0239], device='cuda:0'), grad: tensor([-1.1826e-04, 1.6943e-05, 2.7686e-05, 3.8929e-06, 1.5092e-04, 8.8522e-07, 5.2214e-05, 6.1095e-06, -6.0946e-06, -1.3471e-04], device='cuda:0') 100 0.0001 changing lr epoch 119, time 215.06, cls_loss 0.0035 cls_loss_mapping 0.0077 cls_loss_causal 0.5666 re_mapping 0.0077 re_causal 0.0226 /// teacc 98.82 lr 0.00010000 Epoch 121, weight, value: tensor([[-0.0537, -0.0813, -0.0647, ..., -0.1156, -0.0017, 0.0651], [ 0.0438, 0.0509, 0.0355, ..., 0.0760, -0.1008, -0.0544], [ 0.0432, 0.0365, -0.0830, ..., -0.0013, -0.1131, -0.0360], ..., [-0.0349, -0.0465, 0.0691, ..., -0.0765, -0.0199, 0.0161], [ 0.0109, 0.0836, 0.1115, ..., -0.0750, -0.0762, -0.1082], [-0.0972, 0.0100, -0.1570, ..., -0.0685, -0.0611, 0.0645]], device='cuda:0'), grad: tensor([[ 8.0109e-05, 1.4126e-05, 2.5705e-07, ..., 7.1265e-06, 1.7405e-05, 3.2991e-05], [ 4.7730e-07, 7.3900e-07, 1.4110e-07, ..., -2.7963e-07, 1.0720e-06, 9.5088e-07], [ 3.7570e-06, 1.2247e-06, 1.6550e-06, ..., 4.3982e-07, 1.3206e-06, 1.9260e-06], ..., [ 1.6810e-07, 1.7397e-06, -3.2745e-06, ..., 1.8626e-07, 1.4603e-06, 1.6605e-06], [ 8.5756e-06, 2.9746e-06, -4.2375e-07, ..., 1.1269e-06, 5.9046e-06, 6.3553e-06], [ 3.2987e-06, -5.3197e-05, 8.0327e-07, ..., 3.9861e-07, -3.2634e-05, -6.2168e-05]], device='cuda:0') Epoch 121, bias, value: tensor([ 0.0061, -0.0181, -0.0194, 0.0318, -0.0311, 0.0282, -0.0324, -0.0106, 0.0231, -0.0241], device='cuda:0'), grad: tensor([ 3.0375e-04, 4.7237e-06, 1.5706e-05, -3.5906e-04, 1.5426e-04, -5.3823e-05, 3.4958e-05, 2.9858e-06, 4.3273e-05, -1.4663e-04], device='cuda:0') 100 0.0001 changing lr epoch 120, time 214.96, cls_loss 0.0029 cls_loss_mapping 0.0071 cls_loss_causal 0.5658 re_mapping 0.0078 re_causal 0.0236 /// teacc 98.94 lr 0.00010000 Epoch 122, weight, value: tensor([[-0.0550, -0.0828, -0.0654, ..., -0.1167, -0.0022, 0.0652], [ 0.0440, 0.0507, 0.0357, ..., 0.0767, -0.1019, -0.0546], [ 0.0437, 0.0370, -0.0833, ..., -0.0018, -0.1137, -0.0356], ..., [-0.0354, -0.0466, 0.0691, ..., -0.0770, -0.0200, 0.0155], [ 0.0113, 0.0838, 0.1118, ..., -0.0756, -0.0766, -0.1086], [-0.0998, 0.0099, -0.1579, ..., -0.0691, -0.0614, 0.0649]], device='cuda:0'), grad: tensor([[ 8.9547e-07, 5.3924e-07, 3.5833e-07, ..., 3.7788e-07, 3.1921e-07, 1.0943e-07], [-5.5045e-05, -5.0604e-05, -7.6890e-05, ..., -6.0558e-05, 2.7427e-07, -6.2704e-05], [ 9.8944e-06, 5.2899e-07, 5.0152e-07, ..., 3.6322e-07, 1.2456e-07, 2.6403e-07], ..., [ 3.4899e-05, 2.2128e-05, 3.2455e-05, ..., 2.5764e-05, 1.3411e-07, 2.8968e-05], [ 1.1019e-05, -9.8124e-06, -3.7011e-06, ..., 1.7388e-06, -1.1034e-05, 1.6121e-06], [ 3.1382e-05, 2.5421e-05, 3.8236e-05, ..., 3.0443e-05, 5.6112e-07, 2.7120e-05]], device='cuda:0') Epoch 122, bias, value: tensor([ 0.0058, -0.0181, -0.0189, 0.0319, -0.0315, 0.0283, -0.0321, -0.0110, 0.0231, -0.0241], device='cuda:0'), grad: tensor([ 2.6319e-06, -1.5688e-04, 2.3559e-05, -8.5473e-05, 8.0690e-06, 2.1815e-05, 9.5218e-06, 9.7871e-05, -4.8093e-06, 8.3625e-05], device='cuda:0') 100 0.0001 changing lr epoch 121, time 215.16, cls_loss 0.0035 cls_loss_mapping 0.0068 cls_loss_causal 0.5677 re_mapping 0.0071 re_causal 0.0229 /// teacc 98.92 lr 0.00010000 Epoch 123, weight, value: tensor([[-0.0555, -0.0840, -0.0658, ..., -0.1175, -0.0025, 0.0654], [ 0.0441, 0.0507, 0.0359, ..., 0.0773, -0.1022, -0.0553], [ 0.0437, 0.0376, -0.0844, ..., -0.0018, -0.1140, -0.0373], ..., [-0.0348, -0.0473, 0.0695, ..., -0.0775, -0.0204, 0.0164], [ 0.0111, 0.0854, 0.1117, ..., -0.0780, -0.0752, -0.1091], [-0.1005, 0.0097, -0.1595, ..., -0.0698, -0.0622, 0.0650]], device='cuda:0'), grad: tensor([[ 2.1979e-05, 1.2573e-06, 1.7583e-05, ..., 1.9395e-07, 6.4112e-06, 1.3120e-05], [ 7.6108e-06, 1.4901e-06, 9.7007e-06, ..., -5.1269e-07, 4.0345e-06, 7.5996e-06], [-2.4700e-04, 1.3538e-05, -7.7009e-05, ..., 2.5090e-06, 2.3078e-06, -4.8578e-05], ..., [ 8.8096e-05, 1.7919e-06, -2.2262e-05, ..., 4.6869e-07, -2.2680e-05, -2.0057e-05], [ 2.3544e-05, -3.3170e-05, -2.6673e-06, ..., 4.2981e-07, 3.1330e-06, 1.0498e-05], [ 8.5890e-05, -5.2117e-06, 3.5644e-05, ..., 1.2387e-06, -4.3958e-06, 4.6170e-07]], device='cuda:0') Epoch 123, bias, value: tensor([ 0.0058, -0.0182, -0.0192, 0.0320, -0.0320, 0.0283, -0.0333, -0.0103, 0.0241, -0.0244], device='cuda:0'), grad: tensor([ 8.4996e-05, 4.3631e-05, -5.1975e-04, 5.6803e-05, 1.5236e-05, 6.0499e-05, 1.1213e-05, 3.0994e-05, 3.3259e-05, 1.8275e-04], device='cuda:0') 100 0.0001 changing lr epoch 122, time 215.28, cls_loss 0.0028 cls_loss_mapping 0.0068 cls_loss_causal 0.5474 re_mapping 0.0073 re_causal 0.0224 /// teacc 99.01 lr 0.00010000 Epoch 124, weight, value: tensor([[-0.0562, -0.0853, -0.0665, ..., -0.1183, -0.0029, 0.0657], [ 0.0443, 0.0510, 0.0366, ..., 0.0779, -0.1004, -0.0530], [ 0.0438, 0.0375, -0.0853, ..., -0.0021, -0.1148, -0.0372], ..., [-0.0349, -0.0476, 0.0695, ..., -0.0779, -0.0221, 0.0156], [ 0.0110, 0.0853, 0.1118, ..., -0.0784, -0.0754, -0.1097], [-0.1018, 0.0093, -0.1623, ..., -0.0706, -0.0630, 0.0649]], device='cuda:0'), grad: tensor([[ 1.3295e-07, 1.5954e-06, 6.2399e-08, ..., 1.2387e-07, 1.6354e-06, -6.0443e-07], [-1.3853e-07, 1.3765e-06, -2.6543e-08, ..., 4.8056e-07, 1.4575e-06, 4.9360e-07], [-1.2685e-06, 1.8161e-08, 1.3877e-07, ..., 3.6275e-07, 7.2969e-07, 1.1064e-06], ..., [ 9.7416e-07, 1.7155e-06, -3.7206e-07, ..., 5.7137e-07, 5.0943e-07, 9.0897e-06], [ 6.2445e-07, 1.0297e-05, 2.2352e-08, ..., 3.4319e-07, 1.0453e-05, 4.0680e-06], [ 4.1444e-08, -2.5984e-07, -5.8068e-07, ..., 1.6633e-06, 2.7362e-06, -2.6196e-05]], device='cuda:0') Epoch 124, bias, value: tensor([ 0.0057, -0.0171, -0.0193, 0.0324, -0.0319, 0.0284, -0.0331, -0.0107, 0.0239, -0.0253], device='cuda:0'), grad: tensor([ 2.8182e-06, 3.6992e-06, 1.9241e-06, 2.0236e-05, 4.5709e-06, 7.2382e-06, -3.7283e-05, 2.2575e-05, 2.6584e-05, -5.2422e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 123---------------------------------------------------- epoch 123, time 231.23, cls_loss 0.0024 cls_loss_mapping 0.0056 cls_loss_causal 0.5703 re_mapping 0.0077 re_causal 0.0238 /// teacc 99.05 lr 0.00010000 Epoch 125, weight, value: tensor([[-0.0566, -0.0858, -0.0667, ..., -0.1183, -0.0028, 0.0658], [ 0.0446, 0.0509, 0.0367, ..., 0.0782, -0.1010, -0.0532], [ 0.0438, 0.0374, -0.0857, ..., -0.0025, -0.1156, -0.0375], ..., [-0.0350, -0.0480, 0.0698, ..., -0.0779, -0.0221, 0.0156], [ 0.0103, 0.0850, 0.1118, ..., -0.0789, -0.0756, -0.1104], [-0.1022, 0.0098, -0.1629, ..., -0.0711, -0.0630, 0.0652]], device='cuda:0'), grad: tensor([[ 8.4750e-08, 1.3381e-05, -2.5973e-05, ..., 1.0664e-07, 9.2462e-06, -6.4433e-05], [ 6.6496e-07, 1.3495e-06, 1.3001e-06, ..., 3.8650e-08, 6.3423e-07, 2.7101e-06], [-1.1148e-06, 2.0061e-06, 1.4585e-06, ..., 1.7160e-07, 1.6568e-06, 3.6228e-06], ..., [-5.3830e-07, 3.1409e-07, 1.3851e-05, ..., 2.1118e-07, 1.0757e-07, 3.7193e-05], [-5.1456e-07, 3.1799e-05, 1.3299e-06, ..., 6.3377e-07, 2.0728e-05, 7.7039e-06], [ 4.5565e-07, 3.0585e-06, 2.9895e-06, ..., 7.9442e-07, 1.9222e-06, 7.8306e-06]], device='cuda:0') Epoch 125, bias, value: tensor([ 0.0058, -0.0171, -0.0195, 0.0329, -0.0321, 0.0294, -0.0337, -0.0105, 0.0233, -0.0251], device='cuda:0'), grad: tensor([-7.9632e-05, 9.2685e-06, 9.0301e-06, 1.2264e-05, 3.5651e-06, 1.0878e-05, -1.3173e-04, 5.7518e-05, 8.7798e-05, 2.0802e-05], device='cuda:0') 100 0.0001 changing lr epoch 124, time 215.13, cls_loss 0.0027 cls_loss_mapping 0.0061 cls_loss_causal 0.5583 re_mapping 0.0077 re_causal 0.0231 /// teacc 98.86 lr 0.00010000 Epoch 126, weight, value: tensor([[-0.0574, -0.0873, -0.0670, ..., -0.1193, -0.0029, 0.0660], [ 0.0443, 0.0489, 0.0364, ..., 0.0761, -0.1030, -0.0533], [ 0.0441, 0.0383, -0.0857, ..., -0.0011, -0.1162, -0.0379], ..., [-0.0351, -0.0485, 0.0699, ..., -0.0781, -0.0224, 0.0154], [ 0.0104, 0.0848, 0.1120, ..., -0.0795, -0.0759, -0.1111], [-0.1021, 0.0111, -0.1633, ..., -0.0705, -0.0624, 0.0657]], device='cuda:0'), grad: tensor([[ 4.8988e-07, 5.2946e-07, 3.2037e-07, ..., 3.5902e-07, -1.7717e-05, -2.4438e-05], [ 1.2126e-06, 1.1707e-06, 4.9807e-06, ..., 5.1875e-07, 6.5472e-07, 4.1425e-06], [-2.6282e-06, 4.2352e-07, 3.7223e-05, ..., 1.1921e-06, 6.8313e-07, 2.7061e-05], ..., [-8.8066e-06, 9.9000e-07, -8.0824e-05, ..., 7.6927e-07, 5.2061e-07, -5.7131e-05], [ 1.0179e-06, -1.1278e-06, -1.3858e-06, ..., 1.4873e-06, 9.4343e-07, 2.5257e-06], [ 3.6452e-06, 3.4142e-04, 2.7031e-05, ..., 2.9707e-04, 1.9884e-04, 1.2255e-04]], device='cuda:0') Epoch 126, bias, value: tensor([ 0.0058, -0.0182, -0.0188, 0.0329, -0.0330, 0.0296, -0.0334, -0.0105, 0.0231, -0.0243], device='cuda:0'), grad: tensor([-2.6748e-05, 1.8537e-05, 8.4758e-05, 5.8413e-06, -7.0906e-04, 1.5177e-05, 2.1875e-05, -2.1183e-04, 1.0423e-05, 7.8964e-04], device='cuda:0') 100 0.0001 changing lr epoch 125, time 215.00, cls_loss 0.0024 cls_loss_mapping 0.0052 cls_loss_causal 0.5332 re_mapping 0.0077 re_causal 0.0225 /// teacc 99.05 lr 0.00010000 Epoch 127, weight, value: tensor([[-0.0577, -0.0880, -0.0671, ..., -0.1203, -0.0030, 0.0662], [ 0.0442, 0.0489, 0.0361, ..., 0.0763, -0.1034, -0.0535], [ 0.0441, 0.0381, -0.0867, ..., -0.0015, -0.1166, -0.0385], ..., [-0.0348, -0.0488, 0.0705, ..., -0.0785, -0.0223, 0.0153], [ 0.0106, 0.0849, 0.1121, ..., -0.0802, -0.0761, -0.1115], [-0.1027, 0.0112, -0.1639, ..., -0.0707, -0.0626, 0.0662]], device='cuda:0'), grad: tensor([[ 2.8429e-07, 6.9477e-07, 4.1607e-07, ..., 1.9418e-07, -1.4249e-07, -2.6859e-06], [-1.9241e-06, 4.0233e-06, 2.8848e-07, ..., 4.5300e-06, 2.1961e-06, 1.7299e-07], [ 1.0114e-06, 2.4866e-06, 1.7406e-06, ..., 1.3169e-06, 6.1467e-07, 5.9931e-07], ..., [ 1.2005e-06, 1.8803e-06, 2.2016e-06, ..., 4.1015e-06, 1.3039e-06, 2.1653e-07], [-5.0887e-06, -1.1817e-05, -6.1691e-06, ..., 1.8217e-06, 1.9856e-06, 1.1576e-06], [ 4.1611e-06, 1.9297e-05, 6.4336e-06, ..., 2.1145e-05, 1.4730e-05, 2.3507e-06]], device='cuda:0') Epoch 127, bias, value: tensor([ 0.0059, -0.0186, -0.0189, 0.0331, -0.0334, 0.0296, -0.0334, -0.0100, 0.0230, -0.0242], device='cuda:0'), grad: tensor([-2.9523e-06, 6.9998e-06, 6.7465e-06, 2.5213e-05, -6.4433e-05, -3.3915e-05, 3.3081e-06, 7.8753e-06, -1.4655e-05, 6.5744e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 126---------------------------------------------------- epoch 126, time 231.36, cls_loss 0.0031 cls_loss_mapping 0.0062 cls_loss_causal 0.5484 re_mapping 0.0075 re_causal 0.0213 /// teacc 99.08 lr 0.00010000 Epoch 128, weight, value: tensor([[-0.0583, -0.0907, -0.0675, ..., -0.1207, -0.0044, 0.0659], [ 0.0450, 0.0507, 0.0377, ..., 0.0771, -0.1036, -0.0534], [ 0.0443, 0.0375, -0.0874, ..., -0.0018, -0.1173, -0.0390], ..., [-0.0349, -0.0497, 0.0706, ..., -0.0790, -0.0225, 0.0151], [ 0.0100, 0.0845, 0.1113, ..., -0.0814, -0.0763, -0.1118], [-0.1048, 0.0114, -0.1652, ..., -0.0710, -0.0629, 0.0663]], device='cuda:0'), grad: tensor([[ 9.0078e-06, 4.7218e-07, 2.5751e-07, ..., 2.0792e-07, -2.3879e-06, -2.2233e-04], [ 1.4462e-05, -1.9488e-07, -7.2876e-07, ..., 2.5798e-06, 7.2643e-07, 2.7157e-06], [ 8.8811e-05, -1.1558e-06, 2.5108e-06, ..., -4.3437e-06, 7.9628e-07, 1.8954e-05], ..., [ 4.1798e-06, 5.5926e-07, -9.2462e-06, ..., 5.5647e-07, 1.2740e-06, 1.9580e-05], [ 9.3877e-07, 2.4531e-06, -8.9407e-08, ..., 5.1130e-07, 2.9635e-06, 2.4304e-05], [ 3.2783e-06, -3.4813e-06, 3.3304e-06, ..., 2.2049e-07, 2.3767e-06, 1.1581e-04]], device='cuda:0') Epoch 128, bias, value: tensor([ 0.0047, -0.0176, -0.0188, 0.0329, -0.0339, 0.0298, -0.0326, -0.0101, 0.0224, -0.0244], device='cuda:0'), grad: tensor([-3.4952e-04, 3.4422e-05, 2.6035e-04, -3.0875e-04, 1.5616e-05, 3.3081e-05, 3.9160e-05, 1.6138e-05, 4.4703e-05, 2.1505e-04], device='cuda:0') 100 0.0001 changing lr epoch 127, time 214.84, cls_loss 0.0022 cls_loss_mapping 0.0052 cls_loss_causal 0.5277 re_mapping 0.0074 re_causal 0.0220 /// teacc 98.89 lr 0.00010000 Epoch 129, weight, value: tensor([[-0.0589, -0.0918, -0.0679, ..., -0.1215, -0.0049, 0.0661], [ 0.0450, 0.0509, 0.0379, ..., 0.0776, -0.1039, -0.0535], [ 0.0447, 0.0375, -0.0880, ..., -0.0019, -0.1178, -0.0395], ..., [-0.0349, -0.0502, 0.0710, ..., -0.0789, -0.0217, 0.0150], [ 0.0099, 0.0844, 0.1113, ..., -0.0824, -0.0766, -0.1124], [-0.1054, 0.0107, -0.1662, ..., -0.0722, -0.0639, 0.0663]], device='cuda:0'), grad: tensor([[ 1.1805e-07, 2.8864e-05, 3.9162e-07, ..., 1.7905e-07, 1.5661e-05, 7.4767e-06], [ 1.1045e-06, 2.5835e-06, 4.2617e-06, ..., -3.0268e-08, 1.1623e-06, 4.3139e-06], [ 1.9725e-06, 1.1623e-06, 6.8508e-06, ..., 1.4529e-07, 7.5717e-07, 2.1700e-06], ..., [-5.7891e-06, 1.0975e-05, -2.1785e-05, ..., 9.5228e-08, 7.7486e-07, 2.8312e-05], [ 1.7718e-07, 3.2157e-05, 4.7567e-07, ..., 3.6065e-07, 1.9461e-05, 1.9342e-05], [ 1.6741e-07, -2.8059e-05, 6.1048e-07, ..., 9.1270e-08, -2.7614e-07, -7.6830e-05]], device='cuda:0') Epoch 129, bias, value: tensor([ 0.0047, -0.0175, -0.0186, 0.0328, -0.0336, 0.0298, -0.0322, -0.0099, 0.0221, -0.0250], device='cuda:0'), grad: tensor([ 5.5015e-05, 1.6063e-05, 1.4737e-05, 4.3333e-05, 2.7403e-05, 2.8357e-05, -1.4293e-04, 2.3782e-05, 7.7248e-05, -1.4317e-04], device='cuda:0') 100 0.0001 changing lr epoch 128, time 215.04, cls_loss 0.0027 cls_loss_mapping 0.0063 cls_loss_causal 0.5542 re_mapping 0.0071 re_causal 0.0215 /// teacc 98.99 lr 0.00010000 Epoch 130, weight, value: tensor([[-0.0594, -0.0922, -0.0683, ..., -0.1217, -0.0050, 0.0664], [ 0.0452, 0.0510, 0.0382, ..., 0.0778, -0.1038, -0.0531], [ 0.0449, 0.0374, -0.0881, ..., -0.0021, -0.1188, -0.0403], ..., [-0.0351, -0.0508, 0.0711, ..., -0.0793, -0.0221, 0.0153], [ 0.0101, 0.0842, 0.1114, ..., -0.0831, -0.0770, -0.1133], [-0.1061, 0.0119, -0.1671, ..., -0.0739, -0.0645, 0.0666]], device='cuda:0'), grad: tensor([[ 5.0440e-06, 8.6427e-06, 3.7365e-06, ..., 5.0198e-07, 3.7178e-06, 5.1875e-07], [ 4.8093e-06, 7.7337e-06, 1.2793e-05, ..., 2.2389e-06, 8.0140e-07, 2.3213e-07], [ 4.8429e-06, 4.7982e-06, 2.9225e-06, ..., 5.1130e-07, 6.3656e-07, 8.2189e-08], ..., [ 9.3365e-07, 1.4389e-06, 6.8871e-07, ..., 4.1560e-07, 1.7206e-07, 1.3532e-06], [-2.8104e-05, -2.6658e-05, -3.0637e-05, ..., -3.8780e-06, 2.7828e-06, 1.2517e-06], [ 1.5749e-06, 1.1344e-06, 1.2694e-06, ..., 1.2238e-06, 1.4836e-06, -2.8852e-06]], device='cuda:0') Epoch 130, bias, value: tensor([ 0.0049, -0.0173, -0.0185, 0.0326, -0.0333, 0.0296, -0.0320, -0.0099, 0.0219, -0.0251], device='cuda:0'), grad: tensor([ 2.6822e-05, 1.8030e-05, 9.9763e-06, 1.8939e-05, -5.3411e-07, 6.4187e-06, -1.3046e-05, 4.2245e-06, -7.4804e-05, 3.9823e-06], device='cuda:0') 100 0.0001 changing lr epoch 129, time 214.72, cls_loss 0.0030 cls_loss_mapping 0.0062 cls_loss_causal 0.5275 re_mapping 0.0075 re_causal 0.0217 /// teacc 98.92 lr 0.00010000 Epoch 131, weight, value: tensor([[-0.0610, -0.0929, -0.0698, ..., -0.1224, -0.0052, 0.0673], [ 0.0437, 0.0511, 0.0365, ..., 0.0788, -0.1034, -0.0532], [ 0.0448, 0.0370, -0.0887, ..., -0.0025, -0.1201, -0.0415], ..., [-0.0329, -0.0513, 0.0734, ..., -0.0800, -0.0219, 0.0172], [ 0.0107, 0.0844, 0.1119, ..., -0.0833, -0.0776, -0.1143], [-0.1062, 0.0115, -0.1702, ..., -0.0747, -0.0650, 0.0656]], device='cuda:0'), grad: tensor([[ 1.6415e-07, 7.2364e-07, 7.7765e-07, ..., 2.0955e-08, 6.3563e-08, -8.8429e-07], [ 5.9931e-07, -6.8732e-07, 2.1271e-06, ..., -1.5162e-06, 1.8859e-08, 5.4482e-07], [ 4.9593e-07, -2.0652e-07, 3.9525e-06, ..., 2.4727e-07, 1.1595e-07, 6.6729e-07], ..., [-4.5486e-06, 9.1130e-07, -1.0759e-05, ..., 3.0198e-07, 2.2119e-08, -9.8720e-07], [ 8.4192e-07, -8.0466e-07, -1.4007e-06, ..., 7.0548e-07, 2.7590e-07, 4.2049e-07], [ 3.7835e-07, -4.9593e-07, 1.3774e-06, ..., 8.5682e-08, 7.2177e-08, -1.1297e-06]], device='cuda:0') Epoch 131, bias, value: tensor([ 0.0055, -0.0185, -0.0189, 0.0327, -0.0332, 0.0288, -0.0317, -0.0075, 0.0219, -0.0266], device='cuda:0'), grad: tensor([ 4.3050e-07, 3.9041e-06, 3.8743e-06, 5.1782e-06, 1.4929e-06, 1.2480e-06, -1.1092e-06, -1.4678e-05, -1.9767e-07, -2.0792e-07], device='cuda:0') 100 0.0001 changing lr epoch 130, time 215.09, cls_loss 0.0027 cls_loss_mapping 0.0060 cls_loss_causal 0.5368 re_mapping 0.0071 re_causal 0.0206 /// teacc 99.00 lr 0.00010000 Epoch 132, weight, value: tensor([[-0.0617, -0.0947, -0.0701, ..., -0.1248, -0.0071, 0.0667], [ 0.0439, 0.0513, 0.0368, ..., 0.0795, -0.1037, -0.0531], [ 0.0451, 0.0370, -0.0887, ..., -0.0028, -0.1217, -0.0430], ..., [-0.0333, -0.0525, 0.0732, ..., -0.0812, -0.0224, 0.0168], [ 0.0109, 0.0844, 0.1121, ..., -0.0839, -0.0777, -0.1148], [-0.1066, 0.0116, -0.1707, ..., -0.0752, -0.0656, 0.0663]], device='cuda:0'), grad: tensor([[ 4.7311e-07, 5.3179e-07, 3.0943e-07, ..., 2.8894e-07, 4.1653e-07, -2.2724e-06], [ 3.3472e-06, 1.0300e-06, 1.8636e-06, ..., 2.2678e-07, 5.0664e-07, 4.1118e-07], [-3.8683e-05, 1.1250e-06, 1.9055e-06, ..., 6.2585e-07, 5.4110e-07, 3.5134e-07], ..., [ 4.1217e-05, 7.2177e-07, -1.1154e-05, ..., 4.0978e-07, 1.2340e-07, -1.5087e-06], [ 1.3970e-06, 2.9281e-06, 1.3998e-06, ..., 1.2089e-06, 2.0806e-06, 1.6438e-06], [ 5.0105e-07, -1.0617e-06, 1.7518e-06, ..., 3.9511e-07, 3.9442e-07, -1.3364e-06]], device='cuda:0') Epoch 132, bias, value: tensor([ 0.0036, -0.0183, -0.0191, 0.0326, -0.0333, 0.0290, -0.0305, -0.0078, 0.0218, -0.0263], device='cuda:0'), grad: tensor([-1.3122e-06, 1.0043e-05, -1.4746e-04, -6.5379e-06, 2.8517e-06, 6.0424e-06, -9.3430e-06, 1.3304e-04, 1.1101e-05, 1.4938e-06], device='cuda:0') 100 0.0001 changing lr epoch 131, time 215.20, cls_loss 0.0025 cls_loss_mapping 0.0050 cls_loss_causal 0.5509 re_mapping 0.0066 re_causal 0.0206 /// teacc 98.93 lr 0.00010000 Epoch 133, weight, value: tensor([[-0.0624, -0.0951, -0.0703, ..., -0.1250, -0.0071, 0.0673], [ 0.0444, 0.0512, 0.0370, ..., 0.0803, -0.1040, -0.0538], [ 0.0447, 0.0370, -0.0896, ..., -0.0034, -0.1224, -0.0436], ..., [-0.0336, -0.0541, 0.0731, ..., -0.0821, -0.0231, 0.0160], [ 0.0111, 0.0844, 0.1123, ..., -0.0844, -0.0781, -0.1162], [-0.1065, 0.0106, -0.1710, ..., -0.0767, -0.0668, 0.0666]], device='cuda:0'), grad: tensor([[ 2.0699e-07, 9.0199e-07, 7.5204e-08, ..., 3.4906e-06, 6.8769e-06, -1.7835e-06], [-6.4597e-06, -3.3434e-06, -8.8662e-06, ..., 5.2564e-06, 1.6049e-05, 1.5576e-07], [-8.5775e-07, 1.3178e-06, 9.8255e-07, ..., 6.6757e-06, 1.0610e-05, 2.4261e-07], ..., [ 5.0925e-06, 3.6769e-06, 6.3665e-06, ..., 1.4031e-04, 2.0444e-04, 7.8045e-07], [ 1.4808e-07, 5.5879e-06, 3.9651e-07, ..., 8.6650e-06, 1.7390e-05, 9.7323e-07], [ 4.5495e-07, 1.1316e-06, 4.6496e-07, ..., 5.9634e-05, 9.0003e-05, 1.1204e-06]], device='cuda:0') Epoch 133, bias, value: tensor([ 0.0040, -0.0182, -0.0194, 0.0327, -0.0320, 0.0289, -0.0303, -0.0082, 0.0215, -0.0268], device='cuda:0'), grad: tensor([ 1.4871e-05, 2.0906e-05, 2.3067e-05, 1.7196e-05, -8.3256e-04, 5.0116e-04, -4.1294e-04, 4.3631e-04, 4.0799e-05, 1.8930e-04], device='cuda:0') 100 0.0001 changing lr epoch 132, time 215.03, cls_loss 0.0027 cls_loss_mapping 0.0057 cls_loss_causal 0.5555 re_mapping 0.0075 re_causal 0.0210 /// teacc 99.06 lr 0.00010000 Epoch 134, weight, value: tensor([[-0.0630, -0.0953, -0.0709, ..., -0.1252, -0.0070, 0.0674], [ 0.0445, 0.0512, 0.0371, ..., 0.0806, -0.1049, -0.0541], [ 0.0452, 0.0367, -0.0901, ..., -0.0037, -0.1231, -0.0440], ..., [-0.0339, -0.0553, 0.0732, ..., -0.0832, -0.0243, 0.0159], [ 0.0115, 0.0846, 0.1126, ..., -0.0846, -0.0783, -0.1170], [-0.1069, 0.0101, -0.1716, ..., -0.0783, -0.0688, 0.0671]], device='cuda:0'), grad: tensor([[ 5.6718e-07, 2.1942e-06, 4.4564e-07, ..., 3.9255e-07, 1.6941e-06, -1.6484e-06], [-1.7419e-05, -7.6070e-06, -6.8992e-06, ..., 1.0036e-05, 8.9481e-06, 4.2655e-07], [ 6.1840e-06, 7.1935e-06, 5.9195e-06, ..., 3.9451e-06, 1.9670e-06, 2.4843e-07], ..., [ 7.1572e-07, 2.6934e-06, 4.9593e-07, ..., 4.4629e-06, 2.0862e-06, -1.5441e-06], [ 1.2495e-05, 1.6272e-05, 7.2569e-06, ..., 4.5784e-06, 1.6958e-05, 1.5777e-06], [ 4.4913e-07, 1.5022e-06, 1.9446e-06, ..., 1.8319e-06, 1.8748e-06, 1.2871e-06]], device='cuda:0') Epoch 134, bias, value: tensor([ 0.0041, -0.0183, -0.0192, 0.0323, -0.0306, 0.0290, -0.0303, -0.0084, 0.0215, -0.0274], device='cuda:0'), grad: tensor([ 4.9993e-06, -7.4878e-06, 1.9550e-05, 9.7901e-06, -3.6031e-05, -9.1493e-05, -1.6779e-05, 5.4315e-06, 1.0329e-04, 8.6799e-06], device='cuda:0') 100 0.0001 changing lr epoch 133, time 214.86, cls_loss 0.0032 cls_loss_mapping 0.0073 cls_loss_causal 0.5532 re_mapping 0.0070 re_causal 0.0207 /// teacc 98.91 lr 0.00010000 Epoch 135, weight, value: tensor([[-0.0638, -0.0956, -0.0719, ..., -0.1253, -0.0068, 0.0678], [ 0.0446, 0.0512, 0.0375, ..., 0.0811, -0.1056, -0.0544], [ 0.0454, 0.0366, -0.0912, ..., -0.0044, -0.1240, -0.0447], ..., [-0.0344, -0.0577, 0.0731, ..., -0.0833, -0.0243, 0.0145], [ 0.0119, 0.0850, 0.1131, ..., -0.0850, -0.0784, -0.1174], [-0.1058, 0.0107, -0.1720, ..., -0.0785, -0.0691, 0.0684]], device='cuda:0'), grad: tensor([[ 3.8487e-07, 1.5032e-06, 6.1933e-07, ..., 2.7311e-07, 1.8431e-06, 4.9509e-06], [ 1.9372e-06, 2.4494e-06, 4.0457e-06, ..., 3.9604e-07, 3.0547e-07, 2.4177e-06], [-3.1069e-06, 3.3919e-06, -2.2678e-07, ..., 6.6869e-07, 3.6228e-07, 2.3767e-06], ..., [ 2.6986e-05, 3.0771e-06, 2.0653e-05, ..., 6.8685e-07, 5.2527e-07, -1.5181e-07], [-4.4465e-05, -3.3551e-07, -5.7220e-05, ..., -2.2515e-07, 3.3993e-07, 3.2894e-06], [ 5.0776e-06, -3.6621e-03, 1.2115e-05, ..., -5.9462e-04, 6.8307e-05, -1.4019e-03]], device='cuda:0') Epoch 135, bias, value: tensor([ 0.0044, -0.0187, -0.0190, 0.0315, -0.0312, 0.0296, -0.0304, -0.0086, 0.0217, -0.0266], device='cuda:0'), grad: tensor([ 1.0766e-05, 1.3277e-05, 3.5539e-06, 3.0145e-05, 7.5951e-03, -2.8825e-04, 5.0813e-06, 4.6223e-05, -8.4221e-05, -7.3280e-03], device='cuda:0') 100 0.0001 changing lr epoch 134, time 214.99, cls_loss 0.0024 cls_loss_mapping 0.0061 cls_loss_causal 0.5915 re_mapping 0.0072 re_causal 0.0219 /// teacc 98.99 lr 0.00010000 Epoch 136, weight, value: tensor([[-0.0645, -0.0966, -0.0726, ..., -0.1256, -0.0072, 0.0678], [ 0.0447, 0.0513, 0.0376, ..., 0.0817, -0.1058, -0.0546], [ 0.0455, 0.0363, -0.0920, ..., -0.0047, -0.1251, -0.0458], ..., [-0.0346, -0.0585, 0.0734, ..., -0.0842, -0.0241, 0.0151], [ 0.0126, 0.0852, 0.1137, ..., -0.0853, -0.0786, -0.1179], [-0.1065, 0.0118, -0.1738, ..., -0.0788, -0.0704, 0.0685]], device='cuda:0'), grad: tensor([[ 3.0594e-07, 7.9069e-07, 9.0972e-06, ..., 5.6028e-06, 9.7416e-07, 2.6878e-06], [-3.6880e-06, -1.4469e-05, -3.6955e-04, ..., -2.2626e-04, -3.2097e-05, -1.2624e-04], [ 1.6214e-06, 2.2016e-06, 9.5293e-06, ..., 5.7369e-06, 9.5554e-07, 2.7306e-06], ..., [ 2.0172e-06, 1.1563e-05, 2.8896e-04, ..., 1.7643e-04, 2.5958e-05, 1.0061e-04], [-3.8408e-06, -3.7830e-06, 3.3546e-06, ..., 5.1409e-06, 1.6820e-06, 4.0159e-06], [ 8.5728e-07, -4.5262e-07, 1.5557e-05, ..., 1.0356e-05, 2.3209e-06, 1.9148e-06]], device='cuda:0') Epoch 136, bias, value: tensor([ 0.0042, -0.0187, -0.0193, 0.0314, -0.0319, 0.0297, -0.0303, -0.0082, 0.0218, -0.0264], device='cuda:0'), grad: tensor([ 2.0444e-05, -8.2493e-04, 2.1651e-05, 1.1977e-06, 7.5161e-05, 7.6741e-06, 6.6869e-06, 6.5041e-04, 8.1882e-06, 3.3140e-05], device='cuda:0') 100 0.0001 changing lr epoch 135, time 214.86, cls_loss 0.0023 cls_loss_mapping 0.0044 cls_loss_causal 0.5580 re_mapping 0.0073 re_causal 0.0219 /// teacc 98.93 lr 0.00010000 Epoch 137, weight, value: tensor([[-0.0649, -0.0977, -0.0738, ..., -0.1258, -0.0072, 0.0678], [ 0.0448, 0.0516, 0.0381, ..., 0.0830, -0.1062, -0.0548], [ 0.0456, 0.0362, -0.0922, ..., -0.0048, -0.1257, -0.0464], ..., [-0.0347, -0.0604, 0.0731, ..., -0.0865, -0.0243, 0.0136], [ 0.0127, 0.0850, 0.1138, ..., -0.0862, -0.0791, -0.1187], [-0.1070, 0.0114, -0.1735, ..., -0.0797, -0.0713, 0.0703]], device='cuda:0'), grad: tensor([[ 1.0175e-07, 2.0023e-08, 1.7695e-07, ..., 2.4447e-08, -1.0291e-07, -2.0012e-05], [-2.8126e-07, 1.6298e-08, 5.3346e-06, ..., 3.0398e-06, 7.4040e-07, 2.8759e-06], [ 5.9837e-07, 7.7998e-08, 5.8450e-06, ..., 1.1548e-07, 7.1246e-08, 1.3366e-05], ..., [-1.9725e-06, -3.2154e-07, -4.3452e-05, ..., -5.6773e-06, -1.2722e-06, -4.4852e-05], [ 5.8720e-07, 9.6019e-07, 9.7603e-07, ..., 5.7416e-07, 1.8589e-06, 3.5968e-06], [ 1.6661e-06, 1.3923e-07, 2.2277e-05, ..., 1.5888e-06, 7.4180e-07, 3.3081e-05]], device='cuda:0') Epoch 137, bias, value: tensor([ 0.0040, -0.0185, -0.0193, 0.0314, -0.0312, 0.0297, -0.0300, -0.0096, 0.0216, -0.0257], device='cuda:0'), grad: tensor([-3.7491e-05, 1.3568e-05, 3.8207e-05, 9.9652e-07, 3.0786e-05, -6.0815e-07, 3.4459e-06, -1.6880e-04, 1.1295e-05, 1.0860e-04], device='cuda:0') 100 0.0001 changing lr epoch 136, time 215.13, cls_loss 0.0030 cls_loss_mapping 0.0065 cls_loss_causal 0.5213 re_mapping 0.0071 re_causal 0.0206 /// teacc 98.93 lr 0.00010000 Epoch 138, weight, value: tensor([[-0.0659, -0.0993, -0.0745, ..., -0.1269, -0.0075, 0.0681], [ 0.0448, 0.0514, 0.0380, ..., 0.0832, -0.1068, -0.0550], [ 0.0451, 0.0357, -0.0930, ..., -0.0050, -0.1264, -0.0469], ..., [-0.0347, -0.0624, 0.0722, ..., -0.0867, -0.0255, 0.0123], [ 0.0133, 0.0853, 0.1142, ..., -0.0868, -0.0793, -0.1196], [-0.1072, 0.0121, -0.1712, ..., -0.0799, -0.0709, 0.0716]], device='cuda:0'), grad: tensor([[ 6.4727e-07, 1.9856e-06, 1.3807e-07, ..., 8.9640e-08, 6.8685e-07, -7.6413e-05], [-1.1595e-07, 3.9511e-07, -1.0822e-06, ..., -3.9022e-07, 2.1793e-06, 1.3541e-06], [-9.3132e-06, -3.9972e-06, 5.3132e-07, ..., 2.8475e-07, 4.0256e-07, 9.5293e-06], ..., [ 6.0024e-07, 5.1502e-07, -6.1793e-07, ..., 2.3935e-07, 4.6054e-07, 4.7404e-07], [ 5.1558e-06, -1.2673e-05, -1.3756e-06, ..., 6.0443e-07, 5.1856e-06, 6.8918e-06], [ 9.7137e-07, 1.5408e-05, 1.6084e-06, ..., 4.9220e-07, 1.8673e-06, 3.4004e-05]], device='cuda:0') Epoch 138, bias, value: tensor([ 0.0039, -0.0187, -0.0201, 0.0336, -0.0317, 0.0292, -0.0296, -0.0118, 0.0216, -0.0238], device='cuda:0'), grad: tensor([-1.1647e-04, 6.0238e-06, -2.9933e-06, 7.5474e-06, 6.1560e-07, -4.0829e-05, 6.0678e-05, 1.7108e-06, -9.6112e-06, 9.3281e-05], device='cuda:0') 100 0.0001 changing lr epoch 137, time 215.28, cls_loss 0.0028 cls_loss_mapping 0.0063 cls_loss_causal 0.5700 re_mapping 0.0073 re_causal 0.0213 /// teacc 98.92 lr 0.00010000 Epoch 139, weight, value: tensor([[-0.0664, -0.1003, -0.0748, ..., -0.1276, -0.0077, 0.0683], [ 0.0456, 0.0518, 0.0386, ..., 0.0834, -0.1073, -0.0558], [ 0.0453, 0.0356, -0.0938, ..., -0.0054, -0.1278, -0.0474], ..., [-0.0352, -0.0634, 0.0720, ..., -0.0866, -0.0255, 0.0122], [ 0.0125, 0.0845, 0.1141, ..., -0.0884, -0.0800, -0.1208], [-0.1073, 0.0119, -0.1716, ..., -0.0817, -0.0726, 0.0721]], device='cuda:0'), grad: tensor([[ 5.7137e-07, 8.4704e-07, 3.5367e-07, ..., 7.9954e-07, 6.6236e-06, 6.8061e-06], [-2.5164e-06, -1.8580e-06, -2.0396e-06, ..., 3.2317e-07, 4.4294e-06, 1.2983e-06], [ 5.2713e-07, 1.2470e-06, 9.2527e-07, ..., 1.3448e-06, 2.0694e-06, 5.4808e-07], ..., [ 1.3383e-06, 2.3581e-06, -4.3988e-05, ..., -1.4627e-04, -2.5678e-04, -2.1420e-06], [-3.2429e-06, -1.2992e-06, -1.5153e-06, ..., 1.8459e-06, 3.8445e-06, 2.4140e-06], [ 1.3467e-06, -6.6683e-06, 6.6794e-06, ..., 1.0550e-05, 1.4313e-05, -8.5533e-06]], device='cuda:0') Epoch 139, bias, value: tensor([ 0.0038, -0.0184, -0.0204, 0.0333, -0.0308, 0.0290, -0.0287, -0.0119, 0.0205, -0.0239], device='cuda:0'), grad: tensor([ 1.4029e-05, 4.7944e-06, 6.6720e-06, 3.3617e-05, 4.8876e-04, -3.8445e-05, -4.5635e-06, -5.4026e-04, 4.1053e-06, 3.1322e-05], device='cuda:0') 100 0.0001 changing lr epoch 138, time 215.15, cls_loss 0.0031 cls_loss_mapping 0.0056 cls_loss_causal 0.5699 re_mapping 0.0075 re_causal 0.0211 /// teacc 98.98 lr 0.00010000 Epoch 140, weight, value: tensor([[-0.0681, -0.1010, -0.0757, ..., -0.1275, -0.0066, 0.0692], [ 0.0452, 0.0515, 0.0378, ..., 0.0837, -0.1078, -0.0568], [ 0.0461, 0.0374, -0.0945, ..., -0.0054, -0.1286, -0.0471], ..., [-0.0354, -0.0639, 0.0728, ..., -0.0862, -0.0245, 0.0130], [ 0.0123, 0.0845, 0.1151, ..., -0.0885, -0.0803, -0.1214], [-0.1092, 0.0116, -0.1733, ..., -0.0828, -0.0735, 0.0717]], device='cuda:0'), grad: tensor([[ 4.1793e-07, 7.8278e-07, 9.0571e-08, ..., 3.1781e-07, 5.2713e-07, -5.6392e-07], [-1.4585e-06, -3.2205e-06, -4.5374e-06, ..., -2.6710e-06, 5.5693e-07, 1.8557e-07], [-1.3255e-05, -7.7719e-07, 5.8440e-07, ..., 5.2620e-07, 3.3015e-07, 1.4366e-07], ..., [ 2.1141e-06, 1.1539e-06, -2.5635e-07, ..., 3.4529e-07, 1.3108e-07, 4.4424e-07], [ 5.9530e-06, 4.7237e-06, 2.8107e-06, ..., 2.0918e-06, 1.5544e-06, 2.6487e-06], [-1.7928e-07, -2.2538e-06, 4.7311e-07, ..., 5.6764e-07, 3.8673e-07, -8.7693e-06]], device='cuda:0') Epoch 140, bias, value: tensor([ 0.0043, -0.0192, -0.0199, 0.0341, -0.0307, 0.0290, -0.0291, -0.0111, 0.0205, -0.0249], device='cuda:0'), grad: tensor([ 1.2182e-06, -9.7882e-07, -2.3380e-05, 7.3500e-06, 4.3884e-06, 1.3337e-05, -8.6427e-06, 4.8280e-06, 1.7449e-05, -1.5587e-05], device='cuda:0') 100 0.0001 changing lr epoch 139, time 214.80, cls_loss 0.0023 cls_loss_mapping 0.0045 cls_loss_causal 0.5434 re_mapping 0.0076 re_causal 0.0215 /// teacc 99.01 lr 0.00010000 Epoch 141, weight, value: tensor([[-0.0692, -0.1013, -0.0759, ..., -0.1274, -0.0064, 0.0694], [ 0.0453, 0.0514, 0.0378, ..., 0.0841, -0.1084, -0.0569], [ 0.0470, 0.0386, -0.0935, ..., -0.0051, -0.1306, -0.0479], ..., [-0.0357, -0.0648, 0.0730, ..., -0.0867, -0.0248, 0.0137], [ 0.0120, 0.0846, 0.1151, ..., -0.0897, -0.0804, -0.1218], [-0.1098, 0.0115, -0.1742, ..., -0.0834, -0.0738, 0.0714]], device='cuda:0'), grad: tensor([[ 1.6764e-06, 7.2829e-07, 2.0023e-06, ..., 8.7451e-07, -1.3062e-07, 7.6741e-07], [-8.4400e-05, -3.2514e-05, -1.0312e-04, ..., -4.6760e-05, 1.0850e-07, -8.4698e-05], [ 8.6799e-06, 3.8892e-06, 9.7230e-06, ..., 4.0382e-06, 9.1502e-08, 6.6385e-06], ..., [ 6.1274e-05, 2.3693e-05, 7.3254e-05, ..., 3.3617e-05, 7.7533e-08, 6.2108e-05], [-1.4631e-06, -9.4855e-07, -8.6613e-08, ..., 1.0626e-06, 6.0350e-07, 2.0452e-06], [ 1.0125e-05, 3.5539e-06, 1.2979e-05, ..., 5.9195e-06, 7.1432e-07, 9.1195e-06]], device='cuda:0') Epoch 141, bias, value: tensor([ 0.0044, -0.0193, -0.0190, 0.0339, -0.0306, 0.0288, -0.0290, -0.0107, 0.0204, -0.0256], device='cuda:0'), grad: tensor([ 3.4198e-06, -2.1315e-04, 2.0862e-05, 4.8727e-06, 2.6375e-06, -4.0117e-07, 2.1104e-06, 1.5438e-04, 1.0920e-07, 2.5198e-05], device='cuda:0') 100 0.0001 changing lr epoch 140, time 215.29, cls_loss 0.0026 cls_loss_mapping 0.0057 cls_loss_causal 0.5399 re_mapping 0.0067 re_causal 0.0206 /// teacc 98.92 lr 0.00010000 Epoch 142, weight, value: tensor([[-0.0699, -0.1018, -0.0766, ..., -0.1277, -0.0065, 0.0696], [ 0.0462, 0.0515, 0.0394, ..., 0.0871, -0.1087, -0.0542], [ 0.0470, 0.0385, -0.0939, ..., -0.0054, -0.1325, -0.0484], ..., [-0.0367, -0.0656, 0.0720, ..., -0.0892, -0.0218, 0.0123], [ 0.0118, 0.0848, 0.1155, ..., -0.0900, -0.0806, -0.1216], [-0.1103, 0.0121, -0.1748, ..., -0.0834, -0.0743, 0.0718]], device='cuda:0'), grad: tensor([[ 3.1665e-07, 5.8562e-06, 1.8273e-06, ..., 1.6391e-07, 9.6336e-06, 2.8647e-06], [-9.7044e-07, 6.0583e-07, -8.6194e-07, ..., -1.3877e-06, 9.9838e-07, 5.2014e-07], [-1.7677e-06, 1.5702e-06, 9.0897e-07, ..., 7.4366e-07, 1.5125e-06, 5.5181e-07], ..., [ 1.0636e-06, 5.0804e-07, -1.9395e-07, ..., 4.2724e-07, 2.1420e-07, 7.0920e-07], [-8.0690e-06, -1.1820e-04, -6.6698e-05, ..., 3.6811e-07, -4.3929e-05, -3.0603e-06], [ 3.3202e-07, 2.3842e-06, 8.4564e-07, ..., 3.1348e-06, 2.0452e-06, -4.2617e-06]], device='cuda:0') Epoch 142, bias, value: tensor([ 0.0044, -0.0171, -0.0193, 0.0348, -0.0315, 0.0279, -0.0290, -0.0121, 0.0203, -0.0254], device='cuda:0'), grad: tensor([ 2.3380e-05, 2.1812e-06, -5.9344e-06, 4.2319e-06, -2.8405e-06, 8.8871e-05, 1.5473e-04, 5.5283e-06, -2.7490e-04, 4.4294e-06], device='cuda:0') 100 0.0001 changing lr epoch 141, time 215.11, cls_loss 0.0024 cls_loss_mapping 0.0050 cls_loss_causal 0.5474 re_mapping 0.0068 re_causal 0.0205 /// teacc 99.07 lr 0.00010000 Epoch 143, weight, value: tensor([[-0.0706, -0.1019, -0.0770, ..., -0.1283, -0.0066, 0.0703], [ 0.0466, 0.0519, 0.0398, ..., 0.0880, -0.1090, -0.0539], [ 0.0468, 0.0380, -0.0946, ..., -0.0061, -0.1347, -0.0520], ..., [-0.0368, -0.0665, 0.0721, ..., -0.0896, -0.0223, 0.0121], [ 0.0120, 0.0847, 0.1158, ..., -0.0908, -0.0811, -0.1229], [-0.1102, 0.0115, -0.1752, ..., -0.0862, -0.0760, 0.0720]], device='cuda:0'), grad: tensor([[ 1.6298e-08, 1.9535e-05, 1.4831e-07, ..., 2.0433e-06, 1.7166e-05, 3.1531e-05], [-2.0908e-07, 6.1747e-07, 5.0990e-08, ..., 1.5507e-07, 8.8476e-07, 2.6706e-07], [ 7.1479e-08, 2.1569e-06, 9.1502e-08, ..., 7.2876e-07, 9.3970e-07, 4.8764e-06], ..., [ 7.3342e-08, 2.9709e-07, 8.1258e-08, ..., 6.3796e-08, 2.9081e-07, 6.7335e-07], [-4.9174e-07, 6.5006e-06, 9.5461e-08, ..., 1.6643e-06, 5.4017e-06, 1.2554e-06], [ 3.2899e-07, -9.2834e-06, 5.1409e-07, ..., 1.4179e-07, 5.6485e-07, -3.2991e-05]], device='cuda:0') Epoch 143, bias, value: tensor([ 0.0049, -0.0167, -0.0200, 0.0345, -0.0307, 0.0277, -0.0285, -0.0123, 0.0199, -0.0258], device='cuda:0'), grad: tensor([ 6.7294e-05, 1.9064e-06, 7.3314e-06, 8.1584e-06, 6.4299e-06, -8.5682e-06, -6.4611e-05, 1.2703e-06, 1.4335e-05, -3.3557e-05], device='cuda:0') 100 0.0001 changing lr epoch 142, time 215.12, cls_loss 0.0017 cls_loss_mapping 0.0045 cls_loss_causal 0.5469 re_mapping 0.0065 re_causal 0.0208 /// teacc 99.01 lr 0.00010000 Epoch 144, weight, value: tensor([[-0.0717, -0.1024, -0.0775, ..., -0.1282, -0.0063, 0.0708], [ 0.0469, 0.0521, 0.0399, ..., 0.0882, -0.1097, -0.0540], [ 0.0464, 0.0374, -0.0954, ..., -0.0068, -0.1360, -0.0527], ..., [-0.0368, -0.0668, 0.0723, ..., -0.0897, -0.0223, 0.0122], [ 0.0123, 0.0849, 0.1161, ..., -0.0911, -0.0812, -0.1234], [-0.1104, 0.0116, -0.1758, ..., -0.0864, -0.0764, 0.0720]], device='cuda:0'), grad: tensor([[ 1.3830e-07, 1.9511e-07, 1.1525e-07, ..., 6.1234e-08, 1.9348e-07, 7.7300e-08], [ 2.5146e-07, -4.3493e-07, -7.4971e-08, ..., -8.8988e-07, 8.1258e-08, 9.7509e-07], [-2.4326e-06, -5.4715e-08, 4.3679e-07, ..., 8.1956e-08, 6.4261e-08, 2.1094e-07], ..., [ 1.6186e-06, 2.8801e-07, -2.7735e-06, ..., 3.6252e-07, 4.0745e-08, -2.3767e-06], [ 1.2144e-06, 2.3395e-06, 4.7241e-07, ..., 6.0862e-07, 3.0752e-06, 1.4501e-06], [ 3.1269e-07, 3.6624e-07, 6.6962e-07, ..., 6.6636e-07, 4.6729e-07, 1.5413e-07]], device='cuda:0') Epoch 144, bias, value: tensor([ 0.0052, -0.0166, -0.0207, 0.0343, -0.0308, 0.0277, -0.0286, -0.0121, 0.0200, -0.0259], device='cuda:0'), grad: tensor([ 8.1770e-07, 2.6152e-06, -2.7120e-06, -1.5665e-06, 1.9185e-07, 6.7987e-07, -7.2159e-06, -4.4443e-06, 9.1270e-06, 2.4773e-06], device='cuda:0') 100 0.0001 changing lr epoch 143, time 214.90, cls_loss 0.0023 cls_loss_mapping 0.0060 cls_loss_causal 0.5673 re_mapping 0.0063 re_causal 0.0211 /// teacc 98.95 lr 0.00010000 Epoch 145, weight, value: tensor([[-0.0725, -0.1029, -0.0778, ..., -0.1285, -0.0064, 0.0709], [ 0.0472, 0.0522, 0.0402, ..., 0.0883, -0.1103, -0.0538], [ 0.0467, 0.0373, -0.0955, ..., -0.0069, -0.1368, -0.0524], ..., [-0.0373, -0.0676, 0.0720, ..., -0.0897, -0.0224, 0.0121], [ 0.0128, 0.0850, 0.1169, ..., -0.0916, -0.0815, -0.1239], [-0.1121, 0.0086, -0.1767, ..., -0.0866, -0.0770, 0.0712]], device='cuda:0'), grad: tensor([[ 1.0408e-07, 3.8953e-07, 1.5949e-07, ..., 2.7288e-07, 2.6473e-07, -1.3011e-06], [ 1.5437e-07, 4.4227e-05, 2.0087e-05, ..., 5.4061e-05, 5.9038e-05, 5.8161e-07], [ 4.4634e-07, 4.7521e-07, 8.4704e-07, ..., 1.1851e-07, 1.4179e-07, 3.3132e-07], ..., [ 1.9977e-07, 2.4587e-07, -1.2666e-06, ..., 2.4913e-08, 7.1712e-08, 1.0421e-06], [-1.4305e-06, 1.2189e-05, 4.3362e-06, ..., 1.5691e-05, 1.7568e-05, 1.0189e-06], [ 1.5181e-07, -2.2613e-06, 2.3399e-07, ..., 9.4762e-08, -8.6846e-08, -9.9391e-06]], device='cuda:0') Epoch 145, bias, value: tensor([ 0.0051, -0.0165, -0.0203, 0.0337, -0.0283, 0.0284, -0.0282, -0.0124, 0.0202, -0.0281], device='cuda:0'), grad: tensor([-1.5199e-06, 1.1158e-04, 1.6280e-06, -1.3970e-08, 9.8646e-06, 1.4305e-05, -1.5724e-04, 1.2247e-07, 3.1799e-05, -1.0423e-05], device='cuda:0') 100 0.0001 changing lr epoch 144, time 215.27, cls_loss 0.0019 cls_loss_mapping 0.0040 cls_loss_causal 0.5317 re_mapping 0.0063 re_causal 0.0202 /// teacc 99.03 lr 0.00010000 Epoch 146, weight, value: tensor([[-0.0731, -0.1033, -0.0783, ..., -0.1286, -0.0065, 0.0702], [ 0.0472, 0.0519, 0.0401, ..., 0.0883, -0.1114, -0.0539], [ 0.0471, 0.0373, -0.0957, ..., -0.0070, -0.1373, -0.0529], ..., [-0.0375, -0.0682, 0.0719, ..., -0.0898, -0.0225, 0.0118], [ 0.0131, 0.0860, 0.1182, ..., -0.0916, -0.0807, -0.1246], [-0.1131, 0.0086, -0.1769, ..., -0.0868, -0.0772, 0.0722]], device='cuda:0'), grad: tensor([[ 6.8452e-08, 1.8533e-07, 9.3132e-08, ..., 6.9151e-08, 2.9337e-08, -1.4715e-06], [ 3.0734e-08, -1.1642e-08, 4.7730e-07, ..., -1.0664e-07, 4.4703e-08, 2.5216e-07], [-1.3048e-06, 3.4156e-07, 2.3772e-07, ..., 2.1746e-07, 4.0699e-07, 2.8173e-08], ..., [ 1.8557e-07, 7.4971e-08, -2.1514e-06, ..., 3.9814e-08, 2.0023e-08, -6.7288e-07], [ 4.7311e-07, 6.6869e-07, 1.5600e-08, ..., 2.1700e-07, 6.2492e-07, 8.4983e-07], [ 2.8685e-07, -6.8359e-07, 7.5018e-07, ..., 1.8394e-08, 2.3283e-09, 4.6566e-08]], device='cuda:0') Epoch 146, bias, value: tensor([ 0.0044, -0.0167, -0.0201, 0.0337, -0.0282, 0.0288, -0.0293, -0.0127, 0.0212, -0.0276], device='cuda:0'), grad: tensor([-1.3253e-06, 1.4510e-06, 1.0012e-08, 7.6182e-07, 1.1949e-06, 5.5414e-07, -3.0175e-06, -4.1872e-06, 3.0380e-06, 1.5199e-06], device='cuda:0') 100 0.0001 changing lr epoch 145, time 214.86, cls_loss 0.0028 cls_loss_mapping 0.0058 cls_loss_causal 0.5218 re_mapping 0.0065 re_causal 0.0191 /// teacc 98.98 lr 0.00010000 Epoch 147, weight, value: tensor([[-0.0754, -0.1039, -0.0794, ..., -0.1285, -0.0064, 0.0717], [ 0.0475, 0.0516, 0.0402, ..., 0.0877, -0.1122, -0.0536], [ 0.0466, 0.0372, -0.0966, ..., -0.0071, -0.1387, -0.0566], ..., [-0.0381, -0.0693, 0.0718, ..., -0.0899, -0.0226, 0.0117], [ 0.0135, 0.0864, 0.1188, ..., -0.0922, -0.0808, -0.1254], [-0.1136, 0.0087, -0.1775, ..., -0.0871, -0.0771, 0.0721]], device='cuda:0'), grad: tensor([[ 1.3970e-07, 4.4331e-07, 2.4680e-07, ..., 1.0012e-08, 8.3353e-08, 2.1537e-07], [ 3.3574e-07, 5.6950e-07, 6.7614e-06, ..., 6.3330e-08, 6.7055e-08, 7.8231e-06], [-4.8382e-07, 3.3365e-07, 3.3085e-07, ..., 1.9441e-07, 1.2713e-07, 3.5716e-07], ..., [ 2.4703e-07, 1.4133e-07, -1.9714e-05, ..., 6.3563e-08, 3.1898e-08, -2.0370e-05], [ 4.8801e-07, 2.2035e-06, 5.3318e-07, ..., 8.4285e-08, 1.5344e-07, 3.0287e-06], [-2.0973e-06, -1.3389e-05, 1.0267e-05, ..., 4.6752e-06, 1.8673e-06, -7.3537e-06]], device='cuda:0') Epoch 147, bias, value: tensor([ 0.0055, -0.0169, -0.0213, 0.0337, -0.0284, 0.0290, -0.0291, -0.0129, 0.0215, -0.0278], device='cuda:0'), grad: tensor([ 1.3039e-06, 1.8671e-05, 6.4820e-07, 1.6823e-05, -1.7062e-06, 8.8140e-06, -1.1940e-06, -4.7624e-05, 7.5214e-06, -3.2522e-06], device='cuda:0') 100 0.0001 changing lr epoch 146, time 215.10, cls_loss 0.0017 cls_loss_mapping 0.0039 cls_loss_causal 0.5269 re_mapping 0.0066 re_causal 0.0204 /// teacc 99.00 lr 0.00010000 Epoch 148, weight, value: tensor([[-0.0769, -0.1043, -0.0808, ..., -0.1285, -0.0063, 0.0725], [ 0.0466, 0.0494, 0.0390, ..., 0.0858, -0.1133, -0.0536], [ 0.0471, 0.0376, -0.0970, ..., -0.0070, -0.1391, -0.0573], ..., [-0.0382, -0.0696, 0.0722, ..., -0.0898, -0.0226, 0.0117], [ 0.0138, 0.0864, 0.1191, ..., -0.0928, -0.0811, -0.1262], [-0.1150, 0.0087, -0.1780, ..., -0.0875, -0.0775, 0.0718]], device='cuda:0'), grad: tensor([[ 3.0007e-06, 1.6401e-06, 3.2037e-07, ..., 4.4797e-07, 1.9670e-06, 1.5413e-06], [ 4.6417e-06, 9.1549e-07, -3.6228e-07, ..., -1.6950e-07, 2.7753e-07, 8.1025e-08], [-7.3910e-05, -1.4365e-05, 3.9209e-07, ..., 2.0862e-07, 1.2480e-07, -1.8086e-06], ..., [ 7.1898e-06, 8.2981e-07, -6.3237e-07, ..., 1.1176e-07, 3.5390e-08, 1.2945e-07], [ 2.1011e-05, 3.7495e-06, -3.1441e-06, ..., 4.3586e-07, 1.2508e-06, 1.4678e-06], [ 1.3700e-06, 1.6578e-07, 5.4203e-07, ..., 3.7998e-07, 3.3062e-07, -5.6345e-07]], device='cuda:0') Epoch 148, bias, value: tensor([ 0.0060, -0.0184, -0.0210, 0.0335, -0.0286, 0.0293, -0.0275, -0.0127, 0.0214, -0.0282], device='cuda:0'), grad: tensor([ 1.2934e-05, 1.1079e-05, -1.5223e-04, 6.3479e-05, 2.6803e-06, 5.1446e-06, -6.9030e-06, 1.4916e-05, 4.5806e-05, 3.0976e-06], device='cuda:0') 100 0.0001 changing lr epoch 147, time 214.77, cls_loss 0.0029 cls_loss_mapping 0.0051 cls_loss_causal 0.5006 re_mapping 0.0067 re_causal 0.0195 /// teacc 99.01 lr 0.00010000 Epoch 149, weight, value: tensor([[-0.0796, -0.1048, -0.0841, ..., -0.1288, -0.0066, 0.0725], [ 0.0465, 0.0497, 0.0387, ..., 0.0863, -0.1137, -0.0536], [ 0.0471, 0.0374, -0.0977, ..., -0.0075, -0.1399, -0.0575], ..., [-0.0378, -0.0705, 0.0729, ..., -0.0901, -0.0230, 0.0115], [ 0.0161, 0.0864, 0.1213, ..., -0.0939, -0.0813, -0.1273], [-0.1153, 0.0085, -0.1788, ..., -0.0885, -0.0782, 0.0721]], device='cuda:0'), grad: tensor([[ 2.1793e-07, 1.1083e-07, 1.3504e-07, ..., 9.4995e-08, -2.4959e-07, -1.6419e-06], [-5.1819e-06, -3.6806e-06, -6.7391e-06, ..., -4.2729e-06, 3.1665e-08, 1.3225e-07], [-5.4464e-06, 1.0431e-07, 1.3784e-07, ..., 1.1828e-07, 1.3970e-08, 7.8231e-08], ..., [ 4.2766e-06, 4.7032e-07, -3.1590e-06, ..., 5.6997e-07, 1.2107e-08, -1.1120e-06], [ 2.7809e-06, 2.8834e-06, 3.3174e-06, ..., 2.0117e-06, 1.9446e-06, 1.3132e-06], [ 1.1548e-06, 3.5204e-07, 2.1234e-06, ..., 4.3493e-07, 9.6858e-08, 7.9256e-07]], device='cuda:0') Epoch 149, bias, value: tensor([ 0.0056, -0.0184, -0.0210, 0.0328, -0.0283, 0.0284, -0.0276, -0.0126, 0.0228, -0.0283], device='cuda:0'), grad: tensor([-2.9057e-06, -8.6948e-06, -6.7577e-06, 3.3807e-07, 4.4983e-07, 1.1828e-06, -2.5332e-07, -1.0626e-06, 1.2398e-05, 5.2415e-06], device='cuda:0') 100 0.0001 changing lr epoch 148, time 215.10, cls_loss 0.0025 cls_loss_mapping 0.0052 cls_loss_causal 0.5751 re_mapping 0.0068 re_causal 0.0204 /// teacc 99.03 lr 0.00010000 Epoch 150, weight, value: tensor([[-0.0808, -0.1053, -0.0851, ..., -0.1292, -0.0068, 0.0725], [ 0.0469, 0.0498, 0.0389, ..., 0.0866, -0.1145, -0.0537], [ 0.0474, 0.0372, -0.0981, ..., -0.0081, -0.1407, -0.0580], ..., [-0.0383, -0.0710, 0.0733, ..., -0.0903, -0.0231, 0.0117], [ 0.0159, 0.0864, 0.1214, ..., -0.0949, -0.0816, -0.1283], [-0.1156, 0.0087, -0.1796, ..., -0.0889, -0.0785, 0.0724]], device='cuda:0'), grad: tensor([[ 1.7788e-07, 3.4738e-07, -1.2107e-08, ..., 2.7660e-07, -3.9339e-06, -5.8822e-06], [ 2.0023e-07, 3.5297e-07, 9.3505e-07, ..., 2.4959e-07, 7.7207e-07, 1.1073e-06], [-8.1863e-07, 5.3365e-07, 2.0303e-07, ..., 4.6846e-07, 9.2294e-07, 5.1036e-07], ..., [ 6.0070e-07, 2.5518e-07, -4.1239e-06, ..., 2.4028e-07, 5.7556e-07, -9.6485e-07], [ 2.6170e-07, 1.6866e-06, -1.1828e-07, ..., 1.4761e-06, 2.3507e-06, 5.1595e-07], [ 6.9477e-07, 1.4022e-05, 1.0962e-06, ..., 1.1906e-05, 1.1265e-05, -2.9746e-06]], device='cuda:0') Epoch 150, bias, value: tensor([ 0.0054, -0.0183, -0.0212, 0.0323, -0.0283, 0.0289, -0.0275, -0.0123, 0.0225, -0.0283], device='cuda:0'), grad: tensor([-1.3627e-05, 4.5896e-06, 1.9558e-06, -1.5117e-05, -5.3287e-05, 1.7166e-05, 1.9804e-05, -3.2671e-06, 7.4208e-06, 3.4273e-05], device='cuda:0') 100 0.0001 changing lr epoch 149, time 214.70, cls_loss 0.0028 cls_loss_mapping 0.0055 cls_loss_causal 0.5183 re_mapping 0.0072 re_causal 0.0197 /// teacc 98.90 lr 0.00010000 Epoch 151, weight, value: tensor([[-0.0821, -0.1056, -0.0861, ..., -0.1293, -0.0064, 0.0738], [ 0.0474, 0.0498, 0.0398, ..., 0.0871, -0.1153, -0.0519], [ 0.0480, 0.0368, -0.0988, ..., -0.0087, -0.1436, -0.0592], ..., [-0.0388, -0.0717, 0.0732, ..., -0.0908, -0.0232, 0.0110], [ 0.0160, 0.0864, 0.1214, ..., -0.0958, -0.0821, -0.1291], [-0.1166, 0.0088, -0.1812, ..., -0.0897, -0.0795, 0.0718]], device='cuda:0'), grad: tensor([[ 3.6508e-07, 7.6555e-07, 5.0571e-07, ..., 3.4180e-07, -9.3132e-09, -9.9838e-07], [ 2.8778e-07, 2.9877e-06, 1.8161e-06, ..., 5.1484e-06, 4.4033e-06, 1.5058e-05], [ 2.9579e-06, 7.2736e-07, 2.2762e-06, ..., 5.5134e-07, 8.3540e-07, 1.9949e-06], ..., [ 6.8266e-07, 2.2557e-06, -3.0976e-06, ..., 9.6951e-07, 2.5984e-06, 3.2592e-04], [-4.1723e-05, -4.9442e-05, -4.7475e-05, ..., 4.1351e-07, -5.0366e-05, 1.8505e-06], [ 1.7202e-06, -7.3761e-06, 3.0734e-06, ..., 4.3660e-06, -1.8515e-06, -4.1533e-04]], device='cuda:0') Epoch 151, bias, value: tensor([ 0.0064, -0.0172, -0.0208, 0.0321, -0.0280, 0.0290, -0.0275, -0.0131, 0.0222, -0.0293], device='cuda:0'), grad: tensor([ 1.6065e-06, 3.1024e-05, 9.0301e-06, 3.6150e-05, 6.2883e-05, 2.5213e-05, 1.4234e-04, 3.9196e-04, -1.9133e-04, -5.1022e-04], device='cuda:0') 100 0.0001 changing lr epoch 150, time 214.93, cls_loss 0.0025 cls_loss_mapping 0.0058 cls_loss_causal 0.5231 re_mapping 0.0069 re_causal 0.0196 /// teacc 98.99 lr 0.00010000 Epoch 152, weight, value: tensor([[-0.0839, -0.1063, -0.0888, ..., -0.1295, -0.0065, 0.0740], [ 0.0475, 0.0505, 0.0399, ..., 0.0878, -0.1147, -0.0522], [ 0.0478, 0.0361, -0.1000, ..., -0.0093, -0.1457, -0.0598], ..., [-0.0385, -0.0721, 0.0740, ..., -0.0907, -0.0226, 0.0110], [ 0.0169, 0.0866, 0.1219, ..., -0.0970, -0.0826, -0.1298], [-0.1177, 0.0088, -0.1820, ..., -0.0899, -0.0801, 0.0722]], device='cuda:0'), grad: tensor([[ 1.6298e-07, 1.2843e-06, 3.9395e-07, ..., 5.5600e-07, -4.3306e-07, -4.6529e-06], [-7.8604e-06, -9.8441e-07, -1.1176e-05, ..., -5.9009e-06, 2.4028e-07, -1.6624e-06], [ 1.3970e-07, 2.3283e-07, 1.9744e-06, ..., 9.3225e-07, 2.3190e-07, 7.0594e-07], ..., [ 3.6731e-06, 3.9302e-07, -8.7768e-06, ..., 2.3413e-06, 1.1455e-07, -1.1861e-05], [ 8.9873e-07, 1.6121e-06, 1.4631e-06, ..., 9.2108e-07, 2.5406e-06, 1.4063e-06], [ 4.5728e-07, 1.4994e-07, 1.1273e-05, ..., 4.2655e-07, 1.9893e-06, 1.4149e-05]], device='cuda:0') Epoch 152, bias, value: tensor([ 0.0061, -0.0171, -0.0214, 0.0322, -0.0281, 0.0293, -0.0283, -0.0127, 0.0225, -0.0293], device='cuda:0'), grad: tensor([-3.2634e-06, -1.3307e-05, 1.1623e-06, -1.2219e-06, -2.3283e-07, 9.0599e-06, -1.1653e-05, -1.4856e-05, 8.2776e-06, 2.5973e-05], device='cuda:0') 100 0.0001 changing lr epoch 151, time 215.14, cls_loss 0.0022 cls_loss_mapping 0.0046 cls_loss_causal 0.5462 re_mapping 0.0063 re_causal 0.0194 /// teacc 99.00 lr 0.00010000 Epoch 153, weight, value: tensor([[-0.0843, -0.1069, -0.0874, ..., -0.1286, -0.0060, 0.0746], [ 0.0476, 0.0506, 0.0401, ..., 0.0881, -0.1154, -0.0524], [ 0.0481, 0.0361, -0.1008, ..., -0.0095, -0.1472, -0.0603], ..., [-0.0385, -0.0726, 0.0744, ..., -0.0907, -0.0217, 0.0110], [ 0.0167, 0.0865, 0.1218, ..., -0.0983, -0.0829, -0.1312], [-0.1181, 0.0090, -0.1825, ..., -0.0902, -0.0809, 0.0725]], device='cuda:0'), grad: tensor([[ 2.7753e-07, 1.3784e-07, 1.2526e-06, ..., 1.4715e-07, 9.1828e-07, -9.8720e-08], [-7.2084e-07, -6.4261e-07, 5.9418e-06, ..., 2.7940e-08, 6.6794e-06, 4.4629e-06], [ 1.5385e-06, 4.7870e-07, 1.6484e-06, ..., 5.1875e-07, 3.6601e-07, 2.7288e-07], ..., [ 1.5106e-06, 1.3895e-06, -1.2502e-05, ..., 2.5705e-07, -1.1481e-05, -8.2478e-06], [ 5.9009e-06, 1.4156e-07, 4.5188e-06, ..., 3.3621e-07, 4.7404e-07, 4.4517e-07], [ 9.7137e-07, 1.8440e-07, 1.2554e-06, ..., 7.6927e-07, 1.0962e-06, -8.5402e-07]], device='cuda:0') Epoch 153, bias, value: tensor([ 0.0068, -0.0172, -0.0213, 0.0320, -0.0285, 0.0297, -0.0284, -0.0125, 0.0221, -0.0293], device='cuda:0'), grad: tensor([ 3.8184e-06, 2.5824e-05, 5.0515e-06, -4.6730e-05, 5.1819e-06, 2.2382e-05, 3.5670e-07, -4.1008e-05, 2.0176e-05, 4.9546e-06], device='cuda:0') 100 0.0001 changing lr epoch 152, time 215.30, cls_loss 0.0018 cls_loss_mapping 0.0041 cls_loss_causal 0.5383 re_mapping 0.0063 re_causal 0.0197 /// teacc 99.03 lr 0.00010000 Epoch 154, weight, value: tensor([[-0.0851, -0.1072, -0.0864, ..., -0.1285, -0.0055, 0.0753], [ 0.0478, 0.0506, 0.0402, ..., 0.0881, -0.1159, -0.0525], [ 0.0481, 0.0357, -0.1013, ..., -0.0096, -0.1480, -0.0614], ..., [-0.0389, -0.0732, 0.0742, ..., -0.0908, -0.0214, 0.0109], [ 0.0168, 0.0866, 0.1219, ..., -0.0987, -0.0833, -0.1323], [-0.1186, 0.0093, -0.1828, ..., -0.0904, -0.0806, 0.0729]], device='cuda:0'), grad: tensor([[ 6.6310e-07, 2.2911e-07, 2.4214e-08, ..., 7.0781e-08, 3.8184e-08, -2.5053e-07], [ 7.4133e-07, 5.6252e-07, -3.9674e-07, ..., -1.4529e-07, 1.9372e-07, 8.9407e-08], [-1.0751e-05, -5.0142e-06, 1.0524e-07, ..., 4.9453e-07, 4.7591e-07, 3.6322e-08], ..., [ 6.0815e-07, 1.9465e-07, -7.7300e-08, ..., 7.7300e-08, 4.8429e-08, -7.5437e-08], [ 7.9721e-06, 5.4948e-06, 1.6484e-07, ..., 1.2852e-06, 4.8876e-06, 1.0561e-06], [ 5.2899e-07, 1.4808e-07, 9.2201e-08, ..., 1.4529e-07, 2.4494e-07, -2.0396e-07]], device='cuda:0') Epoch 154, bias, value: tensor([ 0.0073, -0.0172, -0.0216, 0.0323, -0.0288, 0.0295, -0.0283, -0.0127, 0.0219, -0.0291], device='cuda:0'), grad: tensor([ 1.3048e-06, 2.1625e-06, -2.1324e-05, -1.8943e-06, 1.9856e-06, -5.3532e-06, -4.4182e-06, 1.1846e-06, 2.5064e-05, 1.3188e-06], device='cuda:0') 100 0.0001 changing lr epoch 153, time 215.27, cls_loss 0.0028 cls_loss_mapping 0.0051 cls_loss_causal 0.5502 re_mapping 0.0061 re_causal 0.0183 /// teacc 98.95 lr 0.00010000 Epoch 155, weight, value: tensor([[-0.0852, -0.1075, -0.0847, ..., -0.1280, -0.0053, 0.0758], [ 0.0492, 0.0514, 0.0406, ..., 0.0887, -0.1166, -0.0521], [ 0.0466, 0.0335, -0.1032, ..., -0.0112, -0.1499, -0.0639], ..., [-0.0391, -0.0749, 0.0744, ..., -0.0915, -0.0214, 0.0111], [ 0.0167, 0.0866, 0.1219, ..., -0.1002, -0.0840, -0.1336], [-0.1188, 0.0089, -0.1839, ..., -0.0908, -0.0819, 0.0728]], device='cuda:0'), grad: tensor([[ 1.5460e-07, 2.7381e-06, 1.7118e-06, ..., 2.8126e-07, -9.6858e-08, -4.4703e-06], [ 5.3272e-07, 1.2154e-06, 1.1176e-07, ..., 1.1288e-06, 9.3505e-07, 1.2303e-06], [-4.8205e-06, 6.0722e-07, 6.3330e-08, ..., 5.2527e-07, 4.6659e-07, 3.7439e-07], ..., [ 1.4631e-06, 2.4773e-06, 6.3330e-08, ..., 1.1148e-06, 9.0618e-07, 8.7917e-06], [-2.2352e-06, -1.3761e-05, -2.0236e-05, ..., -6.9514e-06, -5.2117e-06, 8.4098e-07], [ 1.1828e-07, -2.6841e-06, 2.8554e-06, ..., 1.8030e-06, 2.4084e-06, -5.9128e-05]], device='cuda:0') Epoch 155, bias, value: tensor([ 0.0079, -0.0164, -0.0240, 0.0324, -0.0282, 0.0301, -0.0285, -0.0127, 0.0214, -0.0297], device='cuda:0'), grad: tensor([ 5.0217e-06, 7.8529e-06, -1.5676e-05, 2.8964e-06, 8.4281e-05, 1.7494e-05, 4.9323e-06, 2.8133e-05, -2.9162e-05, -1.0592e-04], device='cuda:0') 100 0.0001 changing lr epoch 154, time 215.08, cls_loss 0.0025 cls_loss_mapping 0.0051 cls_loss_causal 0.5260 re_mapping 0.0063 re_causal 0.0197 /// teacc 98.91 lr 0.00010000 Epoch 156, weight, value: tensor([[-0.0860, -0.1086, -0.0852, ..., -0.1283, -0.0060, 0.0751], [ 0.0502, 0.0522, 0.0410, ..., 0.0891, -0.1166, -0.0518], [ 0.0457, 0.0317, -0.1055, ..., -0.0120, -0.1506, -0.0654], ..., [-0.0393, -0.0751, 0.0748, ..., -0.0916, -0.0214, 0.0112], [ 0.0169, 0.0865, 0.1222, ..., -0.1006, -0.0846, -0.1346], [-0.1198, 0.0086, -0.1845, ..., -0.0918, -0.0830, 0.0732]], device='cuda:0'), grad: tensor([[ 2.8126e-07, 1.5460e-07, 1.6578e-07, ..., 4.0978e-08, 1.3411e-07, 1.0524e-07], [ 3.1292e-06, -9.5926e-08, -1.9092e-07, ..., -3.1758e-07, 1.2293e-07, 3.4273e-07], [-5.9083e-06, -3.1106e-07, 2.1514e-07, ..., 4.5635e-08, 4.0978e-08, 6.1467e-08], ..., [ 1.5870e-06, 3.5297e-07, 2.0210e-07, ..., 1.9651e-07, 2.5705e-07, 6.2678e-07], [-3.8557e-06, -3.7737e-06, -3.8780e-06, ..., 1.5646e-07, 2.9802e-07, 5.7183e-07], [ 1.7649e-06, 8.5682e-08, 1.0738e-06, ..., 1.1269e-07, 3.8370e-07, -2.1253e-06]], device='cuda:0') Epoch 156, bias, value: tensor([ 0.0071, -0.0159, -0.0256, 0.0324, -0.0281, 0.0301, -0.0282, -0.0123, 0.0211, -0.0300], device='cuda:0'), grad: tensor([ 7.7672e-07, 8.7991e-06, -1.4462e-05, 2.3171e-06, 4.3958e-06, -2.1327e-07, 1.5758e-06, 4.1127e-06, -7.3463e-06, -3.7253e-09], device='cuda:0') 100 0.0001 changing lr epoch 155, time 215.24, cls_loss 0.0020 cls_loss_mapping 0.0037 cls_loss_causal 0.5165 re_mapping 0.0060 re_causal 0.0182 /// teacc 98.99 lr 0.00010000 Epoch 157, weight, value: tensor([[-0.0862, -0.1091, -0.0845, ..., -0.1272, -0.0065, 0.0747], [ 0.0499, 0.0521, 0.0408, ..., 0.0891, -0.1170, -0.0519], [ 0.0463, 0.0317, -0.1054, ..., -0.0122, -0.1519, -0.0655], ..., [-0.0395, -0.0757, 0.0753, ..., -0.0917, -0.0214, 0.0115], [ 0.0171, 0.0865, 0.1223, ..., -0.1015, -0.0850, -0.1351], [-0.1204, 0.0104, -0.1853, ..., -0.0904, -0.0813, 0.0739]], device='cuda:0'), grad: tensor([[ 1.0431e-07, 3.6322e-07, -1.8114e-06, ..., 1.7788e-07, -3.8669e-06, -7.6368e-06], [ 1.0133e-06, -3.0734e-08, 4.4294e-06, ..., -3.3062e-07, 7.9162e-08, 3.6601e-07], [-1.7742e-06, -1.3877e-07, 8.1025e-08, ..., 5.9605e-08, 1.8254e-07, 1.3877e-07], ..., [-7.5437e-08, 1.3318e-07, -5.4054e-06, ..., 1.4529e-07, 2.1327e-07, 2.0321e-06], [ 1.1548e-07, 2.0582e-07, 1.3420e-06, ..., 1.4249e-07, 4.1276e-06, 5.6587e-06], [ 1.6112e-07, 7.8231e-07, 5.1968e-07, ..., 4.5542e-07, 1.9874e-06, -1.4650e-06]], device='cuda:0') Epoch 157, bias, value: tensor([ 0.0067, -0.0162, -0.0250, 0.0324, -0.0301, 0.0301, -0.0280, -0.0119, 0.0209, -0.0285], device='cuda:0'), grad: tensor([-1.2770e-05, 6.2175e-06, -3.6769e-06, 1.7416e-06, -5.6326e-06, -1.7546e-06, 4.2189e-07, -9.4064e-07, 1.3158e-05, 3.2689e-06], device='cuda:0') 100 0.0001 changing lr epoch 156, time 215.17, cls_loss 0.0020 cls_loss_mapping 0.0038 cls_loss_causal 0.5072 re_mapping 0.0062 re_causal 0.0182 /// teacc 98.97 lr 0.00010000 Epoch 158, weight, value: tensor([[-0.0870, -0.1094, -0.0846, ..., -0.1274, -0.0066, 0.0749], [ 0.0505, 0.0523, 0.0418, ..., 0.0895, -0.1171, -0.0517], [ 0.0467, 0.0318, -0.1054, ..., -0.0122, -0.1529, -0.0654], ..., [-0.0403, -0.0770, 0.0747, ..., -0.0921, -0.0220, 0.0111], [ 0.0174, 0.0866, 0.1226, ..., -0.1025, -0.0853, -0.1355], [-0.1213, 0.0105, -0.1861, ..., -0.0907, -0.0822, 0.0740]], device='cuda:0'), grad: tensor([[ 3.8184e-08, 4.7497e-08, 5.0291e-08, ..., 3.6322e-08, -4.8988e-07, -1.4706e-06], [-5.6252e-07, -4.3400e-07, -6.9197e-07, ..., -3.9209e-07, 2.4587e-07, -3.7253e-08], [ 8.3819e-08, 9.3132e-08, 1.5739e-07, ..., 1.1176e-07, 7.7300e-08, 9.8720e-08], ..., [ 1.2014e-07, 2.5332e-07, -1.2014e-07, ..., 8.0187e-07, 1.0235e-06, -1.0617e-07], [-3.8333e-06, -5.0999e-06, -6.6981e-06, ..., -2.2296e-06, -2.2333e-06, 8.7358e-07], [ 1.1716e-06, 1.0710e-06, 1.1334e-06, ..., 3.6322e-07, 6.3609e-07, 3.1758e-07]], device='cuda:0') Epoch 158, bias, value: tensor([ 0.0067, -0.0158, -0.0244, 0.0323, -0.0300, 0.0301, -0.0281, -0.0123, 0.0209, -0.0287], device='cuda:0'), grad: tensor([-2.0154e-06, -8.6520e-07, 4.8336e-07, 2.4792e-06, -2.9020e-06, 1.9297e-06, 5.3905e-06, 1.8887e-06, -1.2696e-05, 6.3069e-06], device='cuda:0') 100 0.0001 changing lr epoch 157, time 215.08, cls_loss 0.0019 cls_loss_mapping 0.0047 cls_loss_causal 0.5500 re_mapping 0.0060 re_causal 0.0189 /// teacc 98.87 lr 0.00010000 Epoch 159, weight, value: tensor([[-0.0876, -0.1094, -0.0849, ..., -0.1275, -0.0065, 0.0754], [ 0.0504, 0.0522, 0.0416, ..., 0.0895, -0.1177, -0.0517], [ 0.0468, 0.0315, -0.1059, ..., -0.0125, -0.1546, -0.0656], ..., [-0.0404, -0.0776, 0.0752, ..., -0.0922, -0.0215, 0.0114], [ 0.0168, 0.0861, 0.1227, ..., -0.1031, -0.0856, -0.1358], [-0.1219, 0.0102, -0.1875, ..., -0.0916, -0.0841, 0.0737]], device='cuda:0'), grad: tensor([[ 4.8522e-07, 3.8087e-05, 7.8604e-07, ..., 5.6811e-08, 7.6056e-05, 3.9488e-05], [ 7.0408e-07, 3.5670e-06, 1.4333e-06, ..., 2.6915e-07, 5.8487e-06, 3.5949e-06], [ 4.8317e-06, 3.2745e-06, 9.7901e-06, ..., 1.1362e-07, 3.7067e-06, 2.0012e-05], ..., [ 5.3644e-07, 1.2349e-06, -5.8673e-08, ..., 8.9407e-07, 2.3972e-06, 2.1886e-06], [-2.9467e-06, 4.9412e-05, -1.9558e-06, ..., 6.4168e-07, 1.0186e-04, 5.3942e-05], [ 2.3469e-07, 6.5304e-06, 4.1071e-07, ..., 5.9139e-07, 1.2964e-05, 6.5565e-06]], device='cuda:0') Epoch 159, bias, value: tensor([ 0.0070, -0.0160, -0.0245, 0.0325, -0.0295, 0.0301, -0.0277, -0.0119, 0.0203, -0.0295], device='cuda:0'), grad: tensor([ 1.5378e-04, 1.5408e-05, 6.5446e-05, 1.2994e-04, 2.2687e-06, 2.6798e-04, -8.7929e-04, 9.9093e-06, 2.0778e-04, 2.7075e-05], device='cuda:0') 100 0.0001 changing lr epoch 158, time 214.82, cls_loss 0.0016 cls_loss_mapping 0.0037 cls_loss_causal 0.5001 re_mapping 0.0059 re_causal 0.0184 /// teacc 98.97 lr 0.00010000 Epoch 160, weight, value: tensor([[-0.0880, -0.1093, -0.0847, ..., -0.1279, -0.0065, 0.0760], [ 0.0504, 0.0522, 0.0417, ..., 0.0895, -0.1181, -0.0518], [ 0.0476, 0.0313, -0.1048, ..., -0.0126, -0.1554, -0.0658], ..., [-0.0413, -0.0784, 0.0748, ..., -0.0924, -0.0211, 0.0114], [ 0.0170, 0.0846, 0.1216, ..., -0.1059, -0.0870, -0.1364], [-0.1220, 0.0105, -0.1878, ..., -0.0917, -0.0841, 0.0740]], device='cuda:0'), grad: tensor([[ 1.9092e-07, 7.5437e-07, 1.1455e-07, ..., 3.5390e-08, -1.4808e-07, 1.1306e-06], [-2.8033e-07, -4.6566e-09, -3.5297e-07, ..., -2.5984e-07, 1.1269e-07, 3.8836e-07], [-1.5832e-07, 1.0431e-07, 2.4773e-07, ..., 7.2643e-08, 4.4703e-08, 1.6298e-07], ..., [ 5.4855e-07, 1.8226e-06, 1.2107e-08, ..., 2.0117e-07, 6.6124e-08, 4.2021e-06], [-1.5823e-06, -3.3434e-07, -1.9670e-06, ..., 2.0117e-07, 2.1514e-07, 5.4669e-07], [-2.4959e-07, -3.7439e-06, 2.1048e-07, ..., 2.4959e-07, 2.5518e-07, -9.7975e-06]], device='cuda:0') Epoch 160, bias, value: tensor([ 0.0074, -0.0160, -0.0234, 0.0324, -0.0299, 0.0301, -0.0263, -0.0125, 0.0191, -0.0294], device='cuda:0'), grad: tensor([ 1.7406e-06, 2.1793e-07, 1.1548e-07, 1.4845e-06, 2.4959e-06, 1.2685e-06, 1.0813e-06, 6.4969e-06, -2.0750e-06, -1.2837e-05], device='cuda:0') 100 0.0001 changing lr epoch 159, time 214.94, cls_loss 0.0020 cls_loss_mapping 0.0039 cls_loss_causal 0.5524 re_mapping 0.0063 re_causal 0.0196 /// teacc 99.04 lr 0.00010000 Epoch 161, weight, value: tensor([[-0.0885, -0.1129, -0.0850, ..., -0.1282, -0.0092, 0.0737], [ 0.0511, 0.0524, 0.0426, ..., 0.0896, -0.1185, -0.0515], [ 0.0479, 0.0312, -0.1051, ..., -0.0127, -0.1569, -0.0661], ..., [-0.0426, -0.0804, 0.0742, ..., -0.0924, -0.0203, 0.0113], [ 0.0172, 0.0841, 0.1220, ..., -0.1060, -0.0877, -0.1388], [-0.1220, 0.0111, -0.1887, ..., -0.0919, -0.0841, 0.0743]], device='cuda:0'), grad: tensor([[ 1.4529e-07, 2.0489e-07, 1.2387e-07, ..., 2.6077e-08, 1.0431e-07, -1.0524e-07], [-1.9986e-06, -1.1651e-06, -2.0470e-06, ..., -1.0701e-06, 2.7567e-07, 3.6135e-07], [ 6.0070e-07, 9.0897e-07, 7.9907e-07, ..., 1.2480e-07, 6.7055e-08, 1.1735e-07], ..., [ 1.2526e-06, 7.5158e-07, -1.6829e-06, ..., 2.5798e-07, -6.2678e-07, -2.2966e-06], [-9.8627e-07, -3.3509e-06, -1.9539e-06, ..., 1.9837e-07, -1.9465e-07, 5.1968e-07], [ 1.6792e-06, 6.2957e-07, 2.7139e-06, ..., 2.3004e-07, 5.5972e-07, 5.8394e-07]], device='cuda:0') Epoch 161, bias, value: tensor([ 0.0050, -0.0157, -0.0233, 0.0326, -0.0302, 0.0300, -0.0247, -0.0129, 0.0188, -0.0293], device='cuda:0'), grad: tensor([ 3.4552e-07, -2.6524e-06, 1.8850e-06, -4.9919e-06, 3.2969e-06, 4.8801e-07, 1.5451e-06, -3.6750e-06, -4.1761e-06, 7.9572e-06], device='cuda:0') 100 0.0001 changing lr epoch 160, time 214.97, cls_loss 0.0023 cls_loss_mapping 0.0046 cls_loss_causal 0.5244 re_mapping 0.0058 re_causal 0.0174 /// teacc 98.96 lr 0.00010000 Epoch 162, weight, value: tensor([[-0.0894, -0.1126, -0.0853, ..., -0.1284, -0.0077, 0.0750], [ 0.0508, 0.0524, 0.0424, ..., 0.0897, -0.1187, -0.0515], [ 0.0485, 0.0315, -0.1050, ..., -0.0124, -0.1579, -0.0665], ..., [-0.0425, -0.0812, 0.0745, ..., -0.0925, -0.0204, 0.0109], [ 0.0175, 0.0846, 0.1225, ..., -0.1061, -0.0881, -0.1399], [-0.1225, 0.0108, -0.1894, ..., -0.0925, -0.0856, 0.0744]], device='cuda:0'), grad: tensor([[ 5.1595e-07, 1.6792e-06, 2.4680e-07, ..., 1.5832e-08, 3.5297e-06, 1.3597e-06], [ 2.6450e-07, 1.0245e-07, 1.2666e-07, ..., -1.0990e-07, 3.5111e-07, 4.5449e-07], [-2.3562e-07, 1.8626e-07, 1.6205e-07, ..., 1.3039e-08, 4.3213e-07, 3.6787e-07], ..., [ 5.8301e-07, 6.7055e-08, -5.5041e-07, ..., 1.2107e-08, 1.8720e-07, 4.1910e-08], [ 4.5355e-07, -1.5683e-06, -1.6866e-06, ..., 2.0489e-08, 2.7400e-06, 1.2359e-06], [ 8.0094e-07, 7.9907e-07, 8.4750e-07, ..., 3.0734e-08, 2.7101e-07, 4.0326e-07]], device='cuda:0') Epoch 162, bias, value: tensor([ 0.0060, -0.0159, -0.0229, 0.0326, -0.0301, 0.0283, -0.0229, -0.0129, 0.0190, -0.0297], device='cuda:0'), grad: tensor([ 7.3612e-06, 2.5146e-06, 1.4286e-06, -7.8738e-05, 4.7218e-07, 6.7294e-05, -8.5533e-06, 1.7071e-06, 1.5208e-06, 4.9472e-06], device='cuda:0') 100 0.0001 changing lr epoch 161, time 215.09, cls_loss 0.0026 cls_loss_mapping 0.0043 cls_loss_causal 0.5123 re_mapping 0.0059 re_causal 0.0172 /// teacc 98.94 lr 0.00010000 Epoch 163, weight, value: tensor([[-0.0910, -0.1129, -0.0857, ..., -0.1285, -0.0077, 0.0751], [ 0.0508, 0.0527, 0.0421, ..., 0.0899, -0.1193, -0.0515], [ 0.0489, 0.0313, -0.1065, ..., -0.0127, -0.1587, -0.0664], ..., [-0.0425, -0.0820, 0.0755, ..., -0.0926, -0.0207, 0.0117], [ 0.0180, 0.0847, 0.1233, ..., -0.1062, -0.0885, -0.1407], [-0.1244, 0.0127, -0.1912, ..., -0.0912, -0.0840, 0.0752]], device='cuda:0'), grad: tensor([[ 2.4103e-06, 2.0154e-06, 5.0142e-06, ..., 6.7428e-07, -8.3260e-07, 1.2284e-06], [-1.5247e-04, -1.0467e-04, -1.5545e-04, ..., -3.6865e-05, 2.0023e-07, -3.0011e-05], [ 3.4571e-06, 1.6112e-06, 3.2485e-06, ..., 9.2387e-07, 1.6205e-07, 2.3246e-06], ..., [ 1.0669e-05, 4.2915e-06, -6.7800e-07, ..., 1.7975e-06, 1.4249e-07, -2.5511e-05], [ 1.2136e-04, 9.0241e-05, 1.2577e-04, ..., 3.1352e-05, 4.0513e-07, 2.8789e-05], [ 3.5539e-06, -8.5216e-07, 8.5756e-06, ..., 1.5944e-06, -6.4448e-07, 5.5805e-06]], device='cuda:0') Epoch 163, bias, value: tensor([ 0.0059, -0.0162, -0.0228, 0.0326, -0.0319, 0.0284, -0.0231, -0.0122, 0.0191, -0.0283], device='cuda:0'), grad: tensor([ 1.8269e-05, -3.3951e-04, 1.1906e-05, 1.6198e-05, 1.2338e-05, 2.3186e-05, 4.1425e-06, -7.1824e-05, 2.8968e-04, 3.5346e-05], device='cuda:0') 100 0.0001 changing lr epoch 162, time 214.92, cls_loss 0.0021 cls_loss_mapping 0.0045 cls_loss_causal 0.5357 re_mapping 0.0059 re_causal 0.0182 /// teacc 98.89 lr 0.00010000 Epoch 164, weight, value: tensor([[-0.0891, -0.1134, -0.0863, ..., -0.1311, -0.0087, 0.0755], [ 0.0510, 0.0526, 0.0419, ..., 0.0895, -0.1211, -0.0519], [ 0.0496, 0.0313, -0.1069, ..., -0.0129, -0.1597, -0.0664], ..., [-0.0426, -0.0834, 0.0757, ..., -0.0930, -0.0215, 0.0116], [ 0.0180, 0.0847, 0.1234, ..., -0.1065, -0.0890, -0.1416], [-0.1276, 0.0133, -0.1918, ..., -0.0914, -0.0838, 0.0758]], device='cuda:0'), grad: tensor([[ 1.1599e-04, 2.0730e-04, 8.2888e-08, ..., 1.5926e-07, 5.5134e-07, 9.2363e-04], [ 1.5363e-05, 1.0267e-05, 1.6108e-05, ..., -7.4506e-08, 1.3784e-07, 1.4417e-06], [ 2.3976e-05, 3.3170e-05, 9.9838e-06, ..., 7.9162e-08, 6.0536e-08, 1.2141e-04], ..., [ 1.1763e-06, 1.3513e-06, 6.5193e-08, ..., 3.2596e-08, 1.3039e-08, 4.0978e-06], [-2.7016e-05, -1.8597e-05, -3.1263e-05, ..., 7.2829e-07, 2.0638e-06, 2.2221e-06], [-1.3363e-04, -2.3890e-04, 3.2317e-07, ..., 1.3132e-07, 2.0582e-07, -1.0662e-03]], device='cuda:0') Epoch 164, bias, value: tensor([ 0.0057, -0.0167, -0.0225, 0.0326, -0.0321, 0.0285, -0.0230, -0.0123, 0.0189, -0.0279], device='cuda:0'), grad: tensor([ 1.1873e-03, 2.8849e-05, 1.7095e-04, 4.5858e-06, 1.3195e-05, 6.4299e-06, -2.8759e-06, 6.1058e-06, -4.6164e-05, -1.3695e-03], device='cuda:0') 100 0.0001 changing lr epoch 163, time 214.72, cls_loss 0.0021 cls_loss_mapping 0.0042 cls_loss_causal 0.5118 re_mapping 0.0064 re_causal 0.0186 /// teacc 98.86 lr 0.00010000 Epoch 165, weight, value: tensor([[-0.0895, -0.1139, -0.0860, ..., -0.1303, -0.0089, 0.0750], [ 0.0504, 0.0522, 0.0410, ..., 0.0892, -0.1224, -0.0527], [ 0.0497, 0.0311, -0.1077, ..., -0.0131, -0.1609, -0.0669], ..., [-0.0420, -0.0844, 0.0770, ..., -0.0930, -0.0215, 0.0117], [ 0.0183, 0.0845, 0.1239, ..., -0.1067, -0.0901, -0.1433], [-0.1272, 0.0134, -0.1925, ..., -0.0924, -0.0841, 0.0767]], device='cuda:0'), grad: tensor([[ 5.4017e-08, 2.3283e-08, 3.7253e-09, ..., 1.2107e-08, 1.6764e-08, -1.2200e-07], [-9.3132e-09, 7.4506e-09, -1.2107e-08, ..., -6.1467e-08, 5.8673e-08, 1.2759e-07], [-6.6124e-07, -1.3039e-08, 1.8626e-08, ..., 4.6566e-09, 9.3132e-09, 3.2596e-08], ..., [ 8.2888e-08, 1.6019e-07, -2.0396e-07, ..., 2.1420e-08, 2.4214e-08, 4.5728e-07], [ 2.5425e-07, 2.3283e-08, 3.4459e-08, ..., 2.6077e-08, 2.4959e-07, 3.9395e-07], [ 3.4459e-08, -1.0151e-07, 5.2154e-08, ..., 3.0175e-07, 2.0023e-07, -9.1176e-07]], device='cuda:0') Epoch 165, bias, value: tensor([ 0.0054, -0.0180, -0.0227, 0.0325, -0.0319, 0.0290, -0.0232, -0.0111, 0.0185, -0.0278], device='cuda:0'), grad: tensor([-4.0047e-08, 3.2317e-07, -1.3048e-06, 6.1933e-07, -7.3574e-08, -2.0452e-06, 1.0217e-06, 6.2026e-07, 1.5171e-06, -6.2957e-07], device='cuda:0') 100 0.0001 changing lr epoch 164, time 214.97, cls_loss 0.0021 cls_loss_mapping 0.0041 cls_loss_causal 0.4995 re_mapping 0.0062 re_causal 0.0182 /// teacc 99.04 lr 0.00010000 Epoch 166, weight, value: tensor([[-0.0901, -0.1141, -0.0864, ..., -0.1303, -0.0091, 0.0741], [ 0.0505, 0.0523, 0.0410, ..., 0.0892, -0.1229, -0.0533], [ 0.0485, 0.0304, -0.1080, ..., -0.0138, -0.1619, -0.0696], ..., [-0.0424, -0.0852, 0.0771, ..., -0.0931, -0.0216, 0.0109], [ 0.0186, 0.0847, 0.1243, ..., -0.1069, -0.0905, -0.1440], [-0.1263, 0.0131, -0.1930, ..., -0.0933, -0.0844, 0.0784]], device='cuda:0'), grad: tensor([[ 1.2480e-07, 4.8056e-07, 4.8429e-08, ..., 8.4750e-08, 8.3447e-07, 4.3027e-07], [ 3.5390e-08, 1.1083e-07, 1.8906e-07, ..., 4.3772e-08, 4.9733e-07, 8.0373e-07], [-1.3718e-06, 3.8184e-08, 9.1270e-08, ..., 1.8068e-07, 4.2096e-07, 2.3842e-07], ..., [ 1.3504e-07, 8.0094e-08, -1.4398e-06, ..., 1.4342e-07, 4.7591e-07, -3.2224e-07], [-1.2573e-06, 5.9325e-07, -2.4904e-06, ..., -1.1083e-07, 3.7085e-06, 3.9712e-06], [ 1.3132e-07, 2.8219e-07, 1.0086e-06, ..., 2.4121e-07, 9.5181e-07, 2.4345e-06]], device='cuda:0') Epoch 166, bias, value: tensor([ 0.0046, -0.0182, -0.0246, 0.0324, -0.0314, 0.0295, -0.0231, -0.0116, 0.0186, -0.0276], device='cuda:0'), grad: tensor([ 3.4049e-06, 3.3360e-06, -1.5376e-06, 9.2834e-06, -6.3330e-08, -3.4183e-05, -2.0079e-06, -1.9092e-07, 1.3396e-05, 8.5160e-06], device='cuda:0') 100 0.0001 changing lr epoch 165, time 214.69, cls_loss 0.0020 cls_loss_mapping 0.0044 cls_loss_causal 0.5251 re_mapping 0.0058 re_causal 0.0176 /// teacc 98.95 lr 0.00010000 Epoch 167, weight, value: tensor([[-0.0910, -0.1143, -0.0868, ..., -0.1304, -0.0090, 0.0744], [ 0.0511, 0.0529, 0.0414, ..., 0.0896, -0.1236, -0.0532], [ 0.0500, 0.0310, -0.1082, ..., -0.0141, -0.1630, -0.0695], ..., [-0.0434, -0.0861, 0.0773, ..., -0.0933, -0.0219, 0.0107], [ 0.0177, 0.0840, 0.1242, ..., -0.1075, -0.0909, -0.1455], [-0.1268, 0.0131, -0.1936, ..., -0.0938, -0.0845, 0.0788]], device='cuda:0'), grad: tensor([[ 9.7789e-08, 1.4342e-07, 2.3283e-08, ..., -4.3772e-07, -3.5167e-06, -6.5938e-06], [-2.1979e-07, -2.6915e-07, -4.7963e-07, ..., -6.5751e-07, 1.1362e-07, 5.4203e-07], [-1.7881e-07, 1.2945e-07, 1.3690e-07, ..., 8.2888e-08, 6.7055e-08, 8.5682e-08], ..., [ 4.8243e-07, 2.0023e-07, -5.2154e-08, ..., 1.8161e-07, 5.1223e-08, 5.1316e-07], [-6.7987e-08, 2.1048e-07, -2.8964e-07, ..., 2.2911e-07, 6.7428e-07, 1.4901e-06], [-1.4985e-06, -2.1569e-06, 1.2759e-07, ..., 2.0117e-07, 2.2259e-07, -8.7097e-06]], device='cuda:0') Epoch 167, bias, value: tensor([ 0.0046, -0.0179, -0.0234, 0.0327, -0.0313, 0.0293, -0.0231, -0.0121, 0.0179, -0.0276], device='cuda:0'), grad: tensor([-9.3356e-06, 2.3283e-07, 1.3411e-07, 1.6401e-06, 1.9055e-06, 4.8578e-06, 9.0301e-06, 1.5311e-06, 2.5313e-06, -1.2510e-05], device='cuda:0') 100 0.0001 changing lr epoch 166, time 214.67, cls_loss 0.0013 cls_loss_mapping 0.0029 cls_loss_causal 0.5137 re_mapping 0.0060 re_causal 0.0185 /// teacc 98.92 lr 0.00010000 Epoch 168, weight, value: tensor([[-0.0914, -0.1143, -0.0869, ..., -0.1305, -0.0088, 0.0745], [ 0.0511, 0.0529, 0.0414, ..., 0.0897, -0.1239, -0.0533], [ 0.0502, 0.0310, -0.1085, ..., -0.0145, -0.1639, -0.0696], ..., [-0.0437, -0.0866, 0.0775, ..., -0.0935, -0.0219, 0.0105], [ 0.0181, 0.0842, 0.1245, ..., -0.1076, -0.0912, -0.1460], [-0.1274, 0.0131, -0.1944, ..., -0.0940, -0.0846, 0.0793]], device='cuda:0'), grad: tensor([[ 3.7113e-07, 4.6333e-07, 5.8813e-07, ..., 2.4540e-07, 2.5332e-07, -2.6217e-07], [-1.4752e-05, -1.0446e-05, -1.9222e-05, ..., -1.4484e-05, -4.2096e-07, 4.9360e-08], [ 1.8086e-06, 1.0487e-06, 1.9521e-06, ..., 8.5216e-07, 5.0757e-07, 2.4680e-08], ..., [ 1.0855e-05, 6.7577e-06, 1.3076e-05, ..., 8.9109e-06, 4.9081e-07, 2.1700e-07], [-9.8720e-06, -5.8860e-06, -1.7419e-05, ..., -4.2059e-06, -1.7518e-06, 1.1967e-07], [ 1.0403e-06, 1.8077e-06, 1.3765e-06, ..., 2.1625e-06, 1.5143e-06, -1.0617e-06]], device='cuda:0') Epoch 168, bias, value: tensor([ 0.0047, -0.0180, -0.0233, 0.0327, -0.0313, 0.0292, -0.0232, -0.0123, 0.0180, -0.0275], device='cuda:0'), grad: tensor([ 1.3672e-06, -3.7044e-05, 6.1020e-06, -2.1346e-06, -1.2144e-06, 3.3975e-05, 2.9355e-06, 2.6897e-05, -3.4481e-05, 3.6117e-06], device='cuda:0') 100 0.0001 changing lr epoch 167, time 215.12, cls_loss 0.0018 cls_loss_mapping 0.0040 cls_loss_causal 0.5291 re_mapping 0.0059 re_causal 0.0189 /// teacc 98.96 lr 0.00010000 Epoch 169, weight, value: tensor([[-0.0921, -0.1145, -0.0872, ..., -0.1307, -0.0089, 0.0747], [ 0.0546, 0.0539, 0.0426, ..., 0.0906, -0.1243, -0.0522], [ 0.0476, 0.0300, -0.1100, ..., -0.0145, -0.1636, -0.0696], ..., [-0.0450, -0.0884, 0.0768, ..., -0.0947, -0.0221, 0.0095], [ 0.0185, 0.0844, 0.1250, ..., -0.1076, -0.0915, -0.1467], [-0.1272, 0.0133, -0.1951, ..., -0.0938, -0.0847, 0.0799]], device='cuda:0'), grad: tensor([[ 7.3994e-07, 1.4296e-07, 2.4820e-07, ..., 1.9558e-07, 7.3574e-08, 1.8068e-07], [-6.0014e-06, -3.1963e-06, -6.9775e-06, ..., -7.4282e-06, 1.7695e-08, 5.3551e-07], [-8.5384e-06, 3.2596e-08, 1.5786e-06, ..., 8.3121e-07, 1.0710e-08, -8.9081e-07], ..., [ 2.0210e-07, 2.3423e-07, -8.5086e-06, ..., 3.5716e-07, 9.3132e-10, -2.9206e-06], [ 3.1758e-06, 1.1073e-06, 1.3914e-06, ..., 2.7549e-06, 5.2620e-08, 8.4424e-07], [ 1.7500e-06, -4.0513e-07, 1.7053e-06, ..., 1.7090e-07, 6.9849e-09, 8.8243e-07]], device='cuda:0') Epoch 169, bias, value: tensor([ 0.0047, -0.0158, -0.0252, 0.0326, -0.0315, 0.0290, -0.0231, -0.0133, 0.0182, -0.0272], device='cuda:0'), grad: tensor([ 2.1346e-06, -7.7486e-06, -2.2158e-05, 9.1791e-06, 7.0408e-06, 8.6427e-06, 6.1281e-06, -1.3985e-05, 5.1968e-06, 5.5581e-06], device='cuda:0') 100 0.0001 changing lr epoch 168, time 214.69, cls_loss 0.0020 cls_loss_mapping 0.0046 cls_loss_causal 0.5386 re_mapping 0.0059 re_causal 0.0176 /// teacc 98.90 lr 0.00010000 Epoch 170, weight, value: tensor([[-0.0922, -0.1146, -0.0872, ..., -0.1305, -0.0087, 0.0750], [ 0.0544, 0.0544, 0.0429, ..., 0.0917, -0.1245, -0.0511], [ 0.0478, 0.0301, -0.1107, ..., -0.0148, -0.1646, -0.0700], ..., [-0.0446, -0.0904, 0.0773, ..., -0.0963, -0.0227, 0.0088], [ 0.0187, 0.0847, 0.1253, ..., -0.1077, -0.0919, -0.1475], [-0.1280, 0.0132, -0.1965, ..., -0.0943, -0.0851, 0.0800]], device='cuda:0'), grad: tensor([[ 1.4389e-07, 8.9267e-07, 2.6124e-07, ..., 4.0745e-07, 9.7789e-07, -3.6648e-07], [ 8.0559e-07, 3.8976e-07, 6.7009e-07, ..., 1.5274e-07, 2.9569e-07, 2.2259e-07], [ 7.6648e-07, 5.3132e-07, 1.0971e-06, ..., 5.6345e-08, 1.4622e-07, 7.2643e-08], ..., [ 2.1216e-06, 9.4296e-07, -7.5018e-07, ..., 2.8359e-07, 1.9465e-07, -3.5902e-07], [-6.6422e-06, -2.3656e-06, -6.8322e-06, ..., 3.3714e-07, 7.6368e-07, 4.2142e-07], [ 5.2899e-07, 4.9686e-07, 1.5479e-06, ..., 7.7765e-07, 6.7614e-07, -1.2992e-07]], device='cuda:0') Epoch 170, bias, value: tensor([ 0.0051, -0.0153, -0.0254, 0.0320, -0.0312, 0.0296, -0.0234, -0.0135, 0.0182, -0.0276], device='cuda:0'), grad: tensor([ 1.9837e-06, 3.6992e-06, 2.2091e-06, 3.1441e-06, -3.0883e-06, 4.2021e-06, -4.1872e-06, -4.6007e-07, -1.4126e-05, 6.5453e-06], device='cuda:0') 100 0.0001 changing lr epoch 169, time 214.83, cls_loss 0.0017 cls_loss_mapping 0.0035 cls_loss_causal 0.5314 re_mapping 0.0057 re_causal 0.0178 /// teacc 99.05 lr 0.00010000 Epoch 171, weight, value: tensor([[-0.0920, -0.1147, -0.0873, ..., -0.1309, -0.0090, 0.0754], [ 0.0541, 0.0543, 0.0423, ..., 0.0918, -0.1251, -0.0512], [ 0.0481, 0.0302, -0.1110, ..., -0.0152, -0.1658, -0.0704], ..., [-0.0442, -0.0907, 0.0780, ..., -0.0964, -0.0230, 0.0088], [ 0.0187, 0.0857, 0.1256, ..., -0.1079, -0.0917, -0.1482], [-0.1285, 0.0132, -0.1973, ..., -0.0944, -0.0852, 0.0800]], device='cuda:0'), grad: tensor([[ 8.4378e-07, 6.2399e-08, 3.7719e-08, ..., -6.3796e-07, -2.6654e-06, -3.9563e-06], [ 8.9779e-07, -6.6077e-07, 5.2107e-07, ..., -2.7400e-06, 1.9977e-07, -8.9826e-07], [-6.4149e-06, -1.8049e-06, -1.0077e-06, ..., 1.1874e-07, 6.7521e-08, 3.5297e-07], ..., [ 1.3290e-06, 2.7753e-07, -1.8226e-06, ..., 6.0396e-07, 2.4354e-07, 1.4296e-07], [ 8.7246e-06, 1.8077e-06, 1.4668e-06, ..., 1.5693e-07, 2.1653e-07, 8.7405e-07], [ 1.3784e-06, 3.8557e-07, 5.8021e-07, ..., 1.4585e-06, 6.3283e-07, -3.0100e-06]], device='cuda:0') Epoch 171, bias, value: tensor([ 0.0054, -0.0158, -0.0253, 0.0320, -0.0312, 0.0297, -0.0238, -0.0132, 0.0188, -0.0277], device='cuda:0'), grad: tensor([-4.7013e-06, -1.2722e-06, -6.7092e-06, -1.8358e-05, 2.4354e-07, 1.3700e-06, 9.1046e-06, 2.2277e-06, 1.6153e-05, 1.8459e-06], device='cuda:0') 100 0.0001 changing lr epoch 170, time 215.09, cls_loss 0.0016 cls_loss_mapping 0.0038 cls_loss_causal 0.5300 re_mapping 0.0059 re_causal 0.0182 /// teacc 99.06 lr 0.00010000 Epoch 172, weight, value: tensor([[-0.0924, -0.1148, -0.0875, ..., -0.1308, -0.0090, 0.0756], [ 0.0545, 0.0547, 0.0427, ..., 0.0923, -0.1257, -0.0510], [ 0.0484, 0.0300, -0.1114, ..., -0.0158, -0.1664, -0.0703], ..., [-0.0450, -0.0919, 0.0779, ..., -0.0969, -0.0232, 0.0085], [ 0.0187, 0.0857, 0.1257, ..., -0.1080, -0.0920, -0.1490], [-0.1303, 0.0130, -0.1979, ..., -0.0956, -0.0858, 0.0800]], device='cuda:0'), grad: tensor([[ 3.0780e-07, 1.1856e-06, 3.3574e-07, ..., 5.8440e-07, 5.1036e-07, 7.0781e-08], [ 1.3812e-06, 3.4142e-06, 3.1665e-06, ..., 2.2836e-06, 1.6820e-06, 3.1758e-07], [ 1.1576e-06, 3.3267e-06, 1.8068e-06, ..., 1.6335e-06, 1.3411e-06, 1.7090e-07], ..., [ 5.9512e-07, 7.0548e-07, 7.9162e-08, ..., 3.2503e-07, 1.2154e-07, -3.9442e-07], [-9.9093e-06, -1.4119e-05, -7.6741e-06, ..., 1.4743e-06, 3.1311e-06, -8.6520e-07], [ 1.1986e-06, 2.2054e-06, 9.3598e-07, ..., 4.9174e-07, 2.0731e-06, 4.6268e-06]], device='cuda:0') Epoch 172, bias, value: tensor([ 0.0055, -0.0156, -0.0250, 0.0324, -0.0309, 0.0295, -0.0238, -0.0135, 0.0186, -0.0282], device='cuda:0'), grad: tensor([ 2.6897e-06, 9.6112e-06, 7.6964e-06, 2.9057e-06, 4.4182e-06, -3.0398e-06, -9.5293e-06, 5.2387e-07, -2.5302e-05, 9.9540e-06], device='cuda:0') 100 0.0001 changing lr epoch 171, time 215.24, cls_loss 0.0018 cls_loss_mapping 0.0051 cls_loss_causal 0.5476 re_mapping 0.0056 re_causal 0.0172 /// teacc 99.07 lr 0.00010000 Epoch 173, weight, value: tensor([[-0.0929, -0.1149, -0.0873, ..., -0.1306, -0.0086, 0.0766], [ 0.0552, 0.0551, 0.0438, ..., 0.0922, -0.1267, -0.0511], [ 0.0486, 0.0303, -0.1123, ..., -0.0160, -0.1660, -0.0705], ..., [-0.0466, -0.0938, 0.0769, ..., -0.0968, -0.0232, 0.0085], [ 0.0190, 0.0857, 0.1261, ..., -0.1081, -0.0929, -0.1505], [-0.1311, 0.0129, -0.1990, ..., -0.0961, -0.0864, 0.0794]], device='cuda:0'), grad: tensor([[ 3.5763e-07, -1.0803e-07, 2.0349e-07, ..., 2.7148e-07, -9.5554e-07, -1.3344e-05], [-2.0210e-06, -2.0657e-06, -2.4531e-06, ..., -3.1069e-06, -1.5646e-07, -1.5786e-07], [-2.1979e-06, -2.1141e-07, -1.7602e-07, ..., -1.8254e-07, 2.4587e-07, 1.5944e-06], ..., [ 1.1129e-06, 5.2107e-07, -7.8417e-07, ..., 7.4087e-07, 8.0932e-07, -1.0384e-07], [ 7.4925e-07, 8.8476e-07, 2.2026e-07, ..., 6.7940e-07, 3.9935e-06, 4.5635e-06], [ 9.5740e-07, 8.7591e-07, 1.5674e-06, ..., 9.3877e-07, 1.1995e-06, 7.3835e-06]], device='cuda:0') Epoch 173, bias, value: tensor([ 0.0062, -0.0153, -0.0250, 0.0326, -0.0309, 0.0297, -0.0237, -0.0141, 0.0184, -0.0287], device='cuda:0'), grad: tensor([-2.3752e-05, -3.0305e-06, -1.8328e-06, 1.5043e-05, 7.7486e-07, -2.6494e-05, 7.5251e-06, 1.8198e-06, 1.3307e-05, 1.6570e-05], device='cuda:0') 100 0.0001 changing lr epoch 172, time 214.99, cls_loss 0.0021 cls_loss_mapping 0.0038 cls_loss_causal 0.5287 re_mapping 0.0060 re_causal 0.0169 /// teacc 99.02 lr 0.00010000 Epoch 174, weight, value: tensor([[-0.0936, -0.1150, -0.0880, ..., -0.1306, -0.0081, 0.0775], [ 0.0551, 0.0554, 0.0436, ..., 0.0929, -0.1277, -0.0512], [ 0.0495, 0.0297, -0.1119, ..., -0.0178, -0.1673, -0.0695], ..., [-0.0467, -0.0944, 0.0775, ..., -0.0973, -0.0237, 0.0087], [ 0.0193, 0.0858, 0.1262, ..., -0.1083, -0.0934, -0.1515], [-0.1336, 0.0128, -0.2007, ..., -0.0972, -0.0870, 0.0786]], device='cuda:0'), grad: tensor([[ 3.3341e-07, 4.5169e-08, 3.2363e-07, ..., -8.1630e-07, -1.8990e-06, -4.2506e-06], [ 1.5451e-06, 1.6764e-08, 1.5192e-05, ..., 1.2191e-06, 7.2643e-08, 4.8429e-08], [-7.1526e-06, 1.0617e-07, 2.1923e-06, ..., 3.6974e-07, 7.4506e-08, 3.4459e-08], ..., [-1.2051e-06, -5.9465e-07, -3.8832e-05, ..., -4.3511e-06, 1.8161e-08, 8.2888e-08], [ 2.2929e-06, 2.9011e-07, 7.4320e-06, ..., 1.0468e-06, 2.1188e-07, 3.2457e-07], [ 6.1886e-07, 4.7497e-08, 5.7220e-06, ..., 9.7975e-07, 2.3702e-07, -5.3132e-07]], device='cuda:0') Epoch 174, bias, value: tensor([ 0.0069, -0.0157, -0.0236, 0.0325, -0.0306, 0.0297, -0.0237, -0.0140, 0.0181, -0.0295], device='cuda:0'), grad: tensor([-5.4277e-06, 2.7657e-05, -8.9332e-06, 4.6119e-06, 9.8869e-06, 6.6124e-06, 1.9893e-06, -6.2943e-05, 1.6674e-05, 9.8497e-06], device='cuda:0') 100 0.0001 changing lr epoch 173, time 215.09, cls_loss 0.0020 cls_loss_mapping 0.0032 cls_loss_causal 0.5392 re_mapping 0.0065 re_causal 0.0186 /// teacc 98.99 lr 0.00010000 Epoch 175, weight, value: tensor([[-0.0949, -0.1152, -0.0890, ..., -0.1307, -0.0081, 0.0775], [ 0.0554, 0.0557, 0.0439, ..., 0.0936, -0.1282, -0.0510], [ 0.0496, 0.0289, -0.1142, ..., -0.0204, -0.1677, -0.0697], ..., [-0.0469, -0.0950, 0.0783, ..., -0.0976, -0.0239, 0.0102], [ 0.0199, 0.0865, 0.1275, ..., -0.1070, -0.0937, -0.1525], [-0.1345, 0.0128, -0.2033, ..., -0.0978, -0.0872, 0.0777]], device='cuda:0'), grad: tensor([[ 1.5320e-07, 6.5658e-08, 1.0990e-07, ..., -8.1956e-08, -1.5683e-06, -2.9933e-06], [-3.1851e-07, 1.5991e-06, -3.1013e-07, ..., 1.5227e-06, 9.3551e-07, 3.0734e-07], [ 1.0524e-06, 5.7276e-08, 7.5530e-07, ..., 8.8010e-08, 5.9139e-08, 1.4342e-07], ..., [ 3.9581e-07, 5.6112e-07, 2.7055e-07, ..., 5.9791e-07, 1.8673e-07, 4.3539e-07], [-7.3388e-06, 7.4366e-07, -4.5858e-06, ..., 8.5682e-07, 6.4122e-07, 8.4843e-07], [ 9.7789e-08, 3.2466e-06, 6.3470e-07, ..., 4.2133e-06, 1.9595e-06, -1.6894e-06]], device='cuda:0') Epoch 175, bias, value: tensor([ 0.0067, -0.0156, -0.0241, 0.0327, -0.0304, 0.0287, -0.0229, -0.0130, 0.0188, -0.0302], device='cuda:0'), grad: tensor([-5.1744e-06, 4.4331e-06, 2.2091e-06, 9.4995e-06, -1.7807e-05, 3.1926e-06, 3.3174e-06, 2.4475e-06, -9.0376e-06, 6.9328e-06], device='cuda:0') 100 0.0001 changing lr epoch 174, time 215.07, cls_loss 0.0018 cls_loss_mapping 0.0035 cls_loss_causal 0.5435 re_mapping 0.0059 re_causal 0.0183 /// teacc 99.07 lr 0.00010000 Epoch 176, weight, value: tensor([[-0.0958, -0.1153, -0.0896, ..., -0.1310, -0.0083, 0.0772], [ 0.0554, 0.0558, 0.0436, ..., 0.0936, -0.1290, -0.0511], [ 0.0494, 0.0288, -0.1149, ..., -0.0206, -0.1687, -0.0700], ..., [-0.0468, -0.0955, 0.0789, ..., -0.0977, -0.0239, 0.0103], [ 0.0197, 0.0865, 0.1277, ..., -0.1072, -0.0941, -0.1541], [-0.1349, 0.0126, -0.2040, ..., -0.0986, -0.0876, 0.0780]], device='cuda:0'), grad: tensor([[ 1.5460e-07, 4.2245e-06, 1.1362e-07, ..., 1.8887e-06, 2.6971e-06, 3.7719e-08], [ 2.0349e-07, -9.7789e-09, 1.5665e-06, ..., -2.3236e-07, 1.1269e-07, 2.9383e-07], [-4.5123e-07, 1.5153e-06, 3.9302e-07, ..., 7.2410e-07, 9.3272e-07, 1.2433e-07], ..., [-2.7986e-07, 3.5390e-08, -6.7353e-06, ..., 6.6590e-08, 1.8626e-08, -8.0606e-07], [ 8.3074e-07, 1.9427e-06, 2.3767e-06, ..., 9.4157e-07, 1.2321e-06, 1.6997e-07], [ 5.3924e-07, 1.5320e-07, 8.5589e-07, ..., 2.0908e-07, 1.4529e-07, 1.6252e-07]], device='cuda:0') Epoch 176, bias, value: tensor([ 0.0062, -0.0160, -0.0246, 0.0329, -0.0300, 0.0291, -0.0229, -0.0126, 0.0180, -0.0304], device='cuda:0'), grad: tensor([ 1.1742e-05, 3.3267e-06, 3.6377e-06, -3.1032e-06, 1.0483e-05, 3.4478e-06, -3.3140e-05, -9.2089e-06, 9.8273e-06, 2.9579e-06], device='cuda:0') 100 0.0001 changing lr epoch 175, time 215.15, cls_loss 0.0014 cls_loss_mapping 0.0028 cls_loss_causal 0.5226 re_mapping 0.0059 re_causal 0.0178 /// teacc 99.01 lr 0.00010000 Epoch 177, weight, value: tensor([[-0.0965, -0.1156, -0.0900, ..., -0.1312, -0.0085, 0.0770], [ 0.0553, 0.0559, 0.0437, ..., 0.0937, -0.1298, -0.0512], [ 0.0492, 0.0289, -0.1166, ..., -0.0209, -0.1696, -0.0701], ..., [-0.0463, -0.0957, 0.0797, ..., -0.0977, -0.0236, 0.0103], [ 0.0193, 0.0864, 0.1276, ..., -0.1074, -0.0944, -0.1552], [-0.1350, 0.0126, -0.2043, ..., -0.0991, -0.0879, 0.0784]], device='cuda:0'), grad: tensor([[-3.1851e-07, -6.4261e-08, 2.2817e-08, ..., -7.3109e-08, -7.7393e-07, -2.4475e-06], [-4.1956e-07, -2.8312e-07, -6.1886e-07, ..., -5.0105e-07, -2.4680e-08, 3.4925e-08], [-5.9279e-07, 5.6345e-08, 6.1467e-08, ..., 8.4750e-08, 2.2817e-08, 4.9360e-08], ..., [ 2.7381e-07, 6.3330e-08, 9.2201e-08, ..., 1.0291e-07, 2.5611e-08, 2.0955e-08], [ 4.0838e-07, 5.5414e-08, 4.8894e-08, ..., 8.5216e-08, 6.8219e-07, 8.5821e-07], [ 1.5879e-07, 1.7695e-08, 4.2841e-08, ..., 1.2666e-07, 5.1316e-07, 1.7118e-06]], device='cuda:0') Epoch 177, bias, value: tensor([ 0.0058, -0.0162, -0.0255, 0.0331, -0.0299, 0.0292, -0.0229, -0.0118, 0.0177, -0.0304], device='cuda:0'), grad: tensor([-3.4124e-06, -1.0766e-06, -8.3027e-07, 5.0571e-07, 1.6298e-07, -1.3048e-06, 7.3714e-07, 5.1130e-07, 2.2836e-06, 2.4214e-06], device='cuda:0') 100 0.0001 changing lr epoch 176, time 214.89, cls_loss 0.0019 cls_loss_mapping 0.0032 cls_loss_causal 0.5360 re_mapping 0.0057 re_causal 0.0173 /// teacc 99.04 lr 0.00010000 Epoch 178, weight, value: tensor([[-0.0971, -0.1157, -0.0899, ..., -0.1313, -0.0084, 0.0773], [ 0.0543, 0.0556, 0.0430, ..., 0.0938, -0.1302, -0.0515], [ 0.0500, 0.0292, -0.1164, ..., -0.0211, -0.1701, -0.0702], ..., [-0.0465, -0.0960, 0.0804, ..., -0.0978, -0.0240, 0.0100], [ 0.0195, 0.0863, 0.1279, ..., -0.1074, -0.0948, -0.1560], [-0.1351, 0.0127, -0.2047, ..., -0.0991, -0.0879, 0.0790]], device='cuda:0'), grad: tensor([[ 3.1199e-08, 8.1491e-08, 1.7229e-08, ..., 1.1316e-07, 4.0652e-07, 3.7719e-08], [-5.2666e-07, -1.7975e-07, -6.7661e-07, ..., -2.3935e-07, 3.6322e-07, 9.6392e-08], [-5.4017e-08, 6.6590e-08, 3.5856e-08, ..., 1.1735e-07, 2.9011e-07, 4.3306e-08], ..., [ 1.4389e-07, 1.9511e-07, 5.4017e-08, ..., 3.4971e-07, 8.1956e-07, 6.6962e-07], [ 1.7136e-07, 2.2771e-07, 1.3178e-07, ..., 3.2084e-07, 1.3327e-06, 9.2341e-07], [ 1.6298e-07, -2.1188e-07, 1.9977e-07, ..., 1.0356e-06, 1.6615e-06, -1.0878e-06]], device='cuda:0') Epoch 178, bias, value: tensor([ 0.0060, -0.0174, -0.0244, 0.0337, -0.0300, 0.0294, -0.0234, -0.0120, 0.0174, -0.0302], device='cuda:0'), grad: tensor([ 1.2256e-06, 4.7032e-08, 9.7603e-07, 3.2783e-06, -1.1727e-05, -4.4964e-06, -9.7603e-07, 4.2543e-06, 4.6305e-06, 2.7977e-06], device='cuda:0') 100 0.0001 changing lr epoch 177, time 214.96, cls_loss 0.0017 cls_loss_mapping 0.0033 cls_loss_causal 0.5322 re_mapping 0.0059 re_causal 0.0178 /// teacc 99.06 lr 0.00010000 Epoch 179, weight, value: tensor([[-0.0969, -0.1158, -0.0888, ..., -0.1312, -0.0084, 0.0776], [ 0.0548, 0.0557, 0.0431, ..., 0.0942, -0.1315, -0.0515], [ 0.0506, 0.0291, -0.1155, ..., -0.0222, -0.1709, -0.0689], ..., [-0.0474, -0.0961, 0.0805, ..., -0.0980, -0.0240, 0.0098], [ 0.0194, 0.0861, 0.1279, ..., -0.1077, -0.0951, -0.1568], [-0.1355, 0.0129, -0.2058, ..., -0.0992, -0.0881, 0.0790]], device='cuda:0'), grad: tensor([[ 4.3306e-08, 1.2014e-07, 6.1002e-08, ..., 1.5507e-07, 1.5227e-07, 3.3062e-08], [-8.0839e-07, -2.5332e-07, -1.0049e-06, ..., -5.4576e-07, 2.9383e-07, 9.9652e-08], [ 6.1467e-08, 8.4285e-08, 2.3888e-07, ..., 1.7416e-07, 1.0990e-07, 9.5461e-08], ..., [ 1.8440e-07, 2.0349e-07, -4.1584e-07, ..., 3.0315e-07, 6.0070e-08, 1.1828e-07], [ 9.0804e-08, 1.4305e-06, 3.4645e-07, ..., 2.6077e-07, 1.6717e-07, 3.4031e-06], [ 1.1083e-07, -1.7453e-06, 1.4063e-07, ..., 2.5751e-07, 9.5926e-08, -4.6305e-06]], device='cuda:0') Epoch 179, bias, value: tensor([ 0.0064, -0.0172, -0.0237, 0.0336, -0.0302, 0.0297, -0.0236, -0.0123, 0.0170, -0.0303], device='cuda:0'), grad: tensor([ 5.4669e-07, -1.5367e-06, 7.8836e-07, 5.5181e-07, -1.0105e-07, 4.2561e-07, 2.6729e-07, 3.5344e-07, 9.1493e-06, -1.0431e-05], device='cuda:0') 100 0.0001 changing lr epoch 178, time 214.95, cls_loss 0.0016 cls_loss_mapping 0.0030 cls_loss_causal 0.5465 re_mapping 0.0059 re_causal 0.0178 /// teacc 98.96 lr 0.00010000 Epoch 180, weight, value: tensor([[-0.0977, -0.1160, -0.0899, ..., -0.1316, -0.0083, 0.0776], [ 0.0550, 0.0555, 0.0432, ..., 0.0944, -0.1326, -0.0516], [ 0.0502, 0.0289, -0.1171, ..., -0.0226, -0.1716, -0.0691], ..., [-0.0470, -0.0965, 0.0813, ..., -0.0982, -0.0247, 0.0101], [ 0.0200, 0.0868, 0.1288, ..., -0.1077, -0.0951, -0.1573], [-0.1359, 0.0129, -0.2068, ..., -0.0998, -0.0886, 0.0789]], device='cuda:0'), grad: tensor([[ 7.5437e-08, 1.9791e-07, 9.6392e-08, ..., 2.1933e-07, 3.4785e-07, -3.6322e-08], [ 3.1060e-07, 2.3823e-06, 1.6587e-06, ..., 3.8054e-06, 1.3979e-06, 1.6578e-07], [ 1.7229e-07, 3.1758e-07, 2.0396e-07, ..., 3.3155e-07, 2.1467e-07, 6.4261e-08], ..., [ 1.4389e-07, 8.7218e-07, -6.0536e-08, ..., 1.0170e-06, 6.1188e-07, 1.6764e-07], [-1.5814e-06, -2.7940e-09, -2.0135e-06, ..., 1.3225e-06, 2.9597e-06, 2.1197e-06], [ 3.0175e-07, 4.4852e-06, 9.1270e-07, ..., 5.5544e-06, 2.6133e-06, 3.2457e-07]], device='cuda:0') Epoch 180, bias, value: tensor([ 0.0062, -0.0172, -0.0246, 0.0332, -0.0299, 0.0298, -0.0237, -0.0115, 0.0176, -0.0307], device='cuda:0'), grad: tensor([ 1.0906e-06, 8.9779e-06, 1.7257e-06, 4.3213e-06, -3.5644e-05, -1.8165e-05, 1.0170e-05, 3.7104e-06, 4.8131e-06, 1.8984e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 179---------------------------------------------------- epoch 179, time 231.17, cls_loss 0.0018 cls_loss_mapping 0.0034 cls_loss_causal 0.5439 re_mapping 0.0052 re_causal 0.0166 /// teacc 99.12 lr 0.00010000 Epoch 181, weight, value: tensor([[-0.0980, -0.1162, -0.0903, ..., -0.1318, -0.0081, 0.0781], [ 0.0528, 0.0557, 0.0405, ..., 0.0949, -0.1327, -0.0517], [ 0.0503, 0.0289, -0.1174, ..., -0.0228, -0.1723, -0.0692], ..., [-0.0444, -0.0968, 0.0843, ..., -0.0984, -0.0250, 0.0096], [ 0.0198, 0.0868, 0.1284, ..., -0.1082, -0.0956, -0.1584], [-0.1359, 0.0128, -0.2069, ..., -0.1001, -0.0889, 0.0795]], device='cuda:0'), grad: tensor([[ 6.0955e-07, 3.6787e-08, 3.9116e-07, ..., -6.5826e-06, -1.2778e-05, -4.5508e-05], [-4.2200e-05, -6.1607e-07, -4.4793e-05, ..., -4.4078e-05, 1.6289e-06, -1.2986e-05], [-4.7721e-06, 1.0710e-07, 2.2948e-06, ..., 4.1723e-06, 1.1502e-07, 3.0417e-06], ..., [ 1.7345e-05, 3.8836e-07, 1.6332e-05, ..., 1.6391e-05, 1.9418e-07, 7.2829e-06], [ 7.0259e-06, 7.7300e-08, 2.8070e-06, ..., 2.2557e-06, 7.6322e-07, 3.1646e-06], [ 3.0734e-06, 1.0980e-06, 3.0771e-06, ..., 4.1723e-06, 1.8990e-06, 1.2284e-06]], device='cuda:0') Epoch 181, bias, value: tensor([ 0.0065, -0.0195, -0.0247, 0.0331, -0.0297, 0.0300, -0.0239, -0.0091, 0.0169, -0.0306], device='cuda:0'), grad: tensor([-1.0949e-04, -1.1688e-04, -2.0303e-06, 2.4915e-05, -6.4299e-06, 4.5270e-05, 7.3075e-05, 5.2392e-05, 2.1741e-05, 1.7345e-05], device='cuda:0') 100 0.0001 changing lr epoch 180, time 214.78, cls_loss 0.0020 cls_loss_mapping 0.0035 cls_loss_causal 0.5121 re_mapping 0.0057 re_causal 0.0168 /// teacc 99.07 lr 0.00010000 Epoch 182, weight, value: tensor([[-0.0998, -0.1175, -0.0910, ..., -0.1341, -0.0096, 0.0777], [ 0.0533, 0.0570, 0.0409, ..., 0.0962, -0.1334, -0.0514], [ 0.0507, 0.0281, -0.1177, ..., -0.0238, -0.1756, -0.0695], ..., [-0.0449, -0.0990, 0.0841, ..., -0.0999, -0.0255, 0.0092], [ 0.0198, 0.0865, 0.1285, ..., -0.1087, -0.0961, -0.1602], [-0.1366, 0.0131, -0.2072, ..., -0.1008, -0.0892, 0.0804]], device='cuda:0'), grad: tensor([[ 1.6531e-07, 2.4354e-07, 1.8161e-08, ..., 3.4459e-08, 1.3737e-07, 8.7637e-07], [ 2.7474e-07, 2.9290e-07, -3.5902e-07, ..., -2.6124e-07, 1.8440e-07, 1.8515e-06], [-1.4529e-06, 1.1595e-07, -3.2363e-07, ..., 2.9337e-08, 7.1712e-08, 5.4436e-07], ..., [ 1.2461e-06, 3.4180e-07, 4.1490e-07, ..., 1.3225e-07, 1.0058e-07, 1.0170e-06], [ 1.3672e-06, 6.8471e-06, -2.9337e-08, ..., 2.4103e-06, 3.6936e-06, 9.3058e-06], [-8.8289e-06, -1.2927e-05, 4.2375e-08, ..., 7.7765e-08, -2.2072e-06, -5.4687e-05]], device='cuda:0') Epoch 182, bias, value: tensor([ 0.0055, -0.0190, -0.0249, 0.0333, -0.0296, 0.0299, -0.0235, -0.0096, 0.0163, -0.0303], device='cuda:0'), grad: tensor([ 2.1085e-06, 3.9525e-06, -3.8147e-06, 3.0160e-05, 4.8019e-06, 5.3942e-05, -9.0897e-06, 5.8152e-06, 3.0339e-05, -1.1808e-04], device='cuda:0') 100 0.0001 changing lr epoch 181, time 214.83, cls_loss 0.0021 cls_loss_mapping 0.0052 cls_loss_causal 0.5175 re_mapping 0.0059 re_causal 0.0167 /// teacc 99.04 lr 0.00010000 Epoch 183, weight, value: tensor([[-0.1005, -0.1177, -0.0915, ..., -0.1341, -0.0092, 0.0761], [ 0.0539, 0.0582, 0.0416, ..., 0.0969, -0.1336, -0.0517], [ 0.0511, 0.0280, -0.1183, ..., -0.0244, -0.1760, -0.0699], ..., [-0.0452, -0.1006, 0.0838, ..., -0.1002, -0.0258, 0.0101], [ 0.0200, 0.0869, 0.1287, ..., -0.1089, -0.0963, -0.1613], [-0.1381, 0.0131, -0.2088, ..., -0.1011, -0.0894, 0.0828]], device='cuda:0'), grad: tensor([[ 9.7882e-07, 1.0142e-06, 1.1045e-06, ..., 1.7416e-07, 3.5856e-08, -8.0839e-07], [-2.4378e-05, -1.5065e-05, -2.6196e-05, ..., -5.7817e-06, 1.2061e-07, 8.4285e-08], [ 9.7156e-06, 6.5193e-06, 1.0341e-05, ..., 2.1737e-06, 4.2841e-08, 5.1688e-08], ..., [ 7.7039e-06, 4.6641e-06, 7.7188e-06, ..., 1.6997e-06, 9.8720e-08, 3.9116e-08], [-4.4778e-06, -5.8770e-05, -3.5465e-05, ..., 1.0924e-06, 1.7462e-07, 1.7229e-07], [ 3.2764e-06, 2.4792e-06, 1.9204e-06, ..., 9.5228e-07, 1.1809e-06, 3.1665e-07]], device='cuda:0') Epoch 183, bias, value: tensor([ 0.0040, -0.0184, -0.0247, 0.0333, -0.0297, 0.0295, -0.0239, -0.0096, 0.0165, -0.0293], device='cuda:0'), grad: tensor([ 2.5295e-06, -4.8220e-05, 2.0713e-05, 3.3733e-06, -5.0068e-06, 4.2439e-05, 1.2553e-04, 1.6019e-05, -1.6999e-04, 1.2688e-05], device='cuda:0') 100 0.0001 changing lr epoch 182, time 214.92, cls_loss 0.0020 cls_loss_mapping 0.0033 cls_loss_causal 0.5225 re_mapping 0.0056 re_causal 0.0165 /// teacc 99.08 lr 0.00010000 Epoch 184, weight, value: tensor([[-0.1012, -0.1177, -0.0919, ..., -0.1340, -0.0087, 0.0768], [ 0.0550, 0.0583, 0.0418, ..., 0.0969, -0.1344, -0.0520], [ 0.0496, 0.0268, -0.1191, ..., -0.0252, -0.1763, -0.0702], ..., [-0.0455, -0.1019, 0.0838, ..., -0.1003, -0.0262, 0.0090], [ 0.0209, 0.0884, 0.1295, ..., -0.1090, -0.0967, -0.1597], [-0.1384, 0.0130, -0.2100, ..., -0.1014, -0.0897, 0.0831]], device='cuda:0'), grad: tensor([[ 3.9972e-06, 2.5090e-06, 1.4622e-06, ..., 1.2526e-07, 2.8592e-07, 1.4761e-06], [ 7.6881e-07, 4.0187e-07, 4.0419e-07, ..., 1.0710e-08, 2.9337e-08, 2.1141e-07], [ 1.2621e-05, 7.3314e-06, 4.7460e-06, ..., 4.1910e-08, 7.5437e-08, 9.0338e-08], ..., [ 8.6473e-07, 4.8475e-07, -1.2154e-07, ..., 3.7253e-09, 6.5193e-09, -3.3947e-07], [-3.8058e-05, -2.1324e-05, -1.3977e-05, ..., 9.5461e-08, 1.8300e-07, 1.5553e-07], [ 6.2101e-06, 3.2745e-06, 2.4680e-06, ..., 8.3819e-09, -5.2620e-08, -2.0191e-06]], device='cuda:0') Epoch 184, bias, value: tensor([ 0.0048, -0.0179, -0.0262, 0.0334, -0.0302, 0.0295, -0.0242, -0.0100, 0.0182, -0.0294], device='cuda:0'), grad: tensor([ 1.1817e-05, 2.2985e-06, 3.1233e-05, 1.7732e-05, 1.5534e-06, 3.9935e-06, 9.1195e-06, 1.1791e-06, -9.1910e-05, 1.3024e-05], device='cuda:0') 100 0.0001 changing lr epoch 183, time 214.83, cls_loss 0.0015 cls_loss_mapping 0.0036 cls_loss_causal 0.5219 re_mapping 0.0053 re_causal 0.0165 /// teacc 99.11 lr 0.00010000 Epoch 185, weight, value: tensor([[-0.1018, -0.1178, -0.0923, ..., -0.1342, -0.0087, 0.0770], [ 0.0553, 0.0585, 0.0419, ..., 0.0973, -0.1350, -0.0519], [ 0.0497, 0.0266, -0.1194, ..., -0.0256, -0.1764, -0.0702], ..., [-0.0458, -0.1025, 0.0838, ..., -0.1007, -0.0265, 0.0087], [ 0.0214, 0.0883, 0.1301, ..., -0.1095, -0.0978, -0.1607], [-0.1388, 0.0130, -0.2106, ..., -0.1018, -0.0902, 0.0832]], device='cuda:0'), grad: tensor([[ 2.3749e-07, 6.1141e-07, 7.6368e-08, ..., 1.9139e-07, 1.5832e-08, -1.1865e-06], [-4.0699e-07, 1.4929e-06, 1.3243e-06, ..., 2.8685e-06, 2.0284e-06, 6.0536e-08], [-2.6748e-06, 1.0571e-07, 2.0489e-07, ..., 2.8592e-07, 3.8929e-07, 1.4156e-07], ..., [ 3.6042e-07, 5.6718e-07, 5.5041e-07, ..., 8.8429e-07, 5.2759e-07, 1.5460e-07], [ 1.4324e-06, 1.3942e-06, 1.1204e-06, ..., 2.2724e-06, 5.7966e-06, 3.4776e-06], [ 2.6403e-07, 6.6450e-07, 5.1502e-07, ..., 7.6694e-07, 9.3691e-07, 2.4354e-07]], device='cuda:0') Epoch 185, bias, value: tensor([ 0.0049, -0.0178, -0.0261, 0.0333, -0.0301, 0.0297, -0.0241, -0.0101, 0.0181, -0.0296], device='cuda:0'), grad: tensor([-3.5949e-07, 5.6773e-06, -3.0026e-06, 1.0103e-05, -1.1735e-05, -3.2306e-05, 9.3952e-06, 2.4457e-06, 1.6242e-05, 3.4831e-06], device='cuda:0') 100 0.0001 changing lr epoch 184, time 214.89, cls_loss 0.0018 cls_loss_mapping 0.0033 cls_loss_causal 0.4814 re_mapping 0.0055 re_causal 0.0158 /// teacc 99.11 lr 0.00010000 Epoch 186, weight, value: tensor([[-0.1029, -0.1207, -0.0929, ..., -0.1369, -0.0114, 0.0748], [ 0.0556, 0.0587, 0.0420, ..., 0.0980, -0.1353, -0.0517], [ 0.0501, 0.0267, -0.1195, ..., -0.0261, -0.1770, -0.0700], ..., [-0.0460, -0.1029, 0.0838, ..., -0.1011, -0.0267, 0.0085], [ 0.0207, 0.0880, 0.1301, ..., -0.1100, -0.0986, -0.1620], [-0.1395, 0.0131, -0.2112, ..., -0.1022, -0.0905, 0.0835]], device='cuda:0'), grad: tensor([[ 7.0296e-06, 9.7677e-06, 4.1816e-07, ..., -2.7008e-08, -2.6030e-07, -7.8836e-07], [-5.2527e-07, 4.1910e-09, -6.1700e-07, ..., -1.1548e-06, 6.2399e-08, 2.0070e-07], [ 4.6901e-06, 4.5784e-06, 4.4145e-06, ..., 1.3830e-07, 2.5611e-08, 6.3330e-08], ..., [ 8.5169e-07, 4.9965e-07, 2.8359e-07, ..., 6.1654e-07, 9.3132e-09, -3.8138e-07], [-2.5779e-05, -8.6576e-06, -5.1558e-05, ..., 1.3644e-07, 1.8766e-07, 3.2317e-07], [ 3.2224e-07, 3.1572e-07, 8.9267e-07, ..., 5.7276e-08, 3.3993e-08, -2.7474e-08]], device='cuda:0') Epoch 186, bias, value: tensor([ 0.0022, -0.0176, -0.0258, 0.0335, -0.0303, 0.0298, -0.0218, -0.0103, 0.0174, -0.0295], device='cuda:0'), grad: tensor([ 6.0380e-05, 2.0787e-06, 4.1246e-05, -1.5378e-04, 1.8878e-06, 2.0432e-04, 1.0747e-04, 1.7975e-06, -2.6751e-04, 2.5257e-06], device='cuda:0') 100 0.0001 changing lr epoch 185, time 214.86, cls_loss 0.0017 cls_loss_mapping 0.0031 cls_loss_causal 0.5030 re_mapping 0.0052 re_causal 0.0159 /// teacc 99.02 lr 0.00010000 Epoch 187, weight, value: tensor([[-0.1031, -0.1212, -0.0918, ..., -0.1372, -0.0113, 0.0751], [ 0.0561, 0.0593, 0.0424, ..., 0.0985, -0.1361, -0.0515], [ 0.0503, 0.0263, -0.1195, ..., -0.0265, -0.1773, -0.0701], ..., [-0.0465, -0.1037, 0.0837, ..., -0.1017, -0.0271, 0.0083], [ 0.0201, 0.0881, 0.1302, ..., -0.1104, -0.0993, -0.1638], [-0.1388, 0.0133, -0.2121, ..., -0.1026, -0.0908, 0.0839]], device='cuda:0'), grad: tensor([[ 1.8626e-08, 2.7195e-07, 8.8476e-09, ..., 2.0489e-07, 2.4494e-07, -6.1002e-08], [-3.8482e-06, -2.1746e-07, -2.1756e-06, ..., -8.5542e-07, 5.9605e-08, 6.7987e-08], [ 8.1072e-07, 1.6531e-07, 5.1595e-07, ..., 2.5285e-07, 7.2643e-08, 1.7695e-08], ..., [ 2.3805e-06, 2.1234e-07, 1.2182e-06, ..., 5.4855e-07, 1.6810e-07, 9.9763e-06], [ 3.3062e-08, 1.0999e-06, 2.3283e-09, ..., 9.7509e-07, 1.1418e-06, 5.0291e-08], [ 3.3062e-08, -4.1444e-08, 8.2888e-08, ..., 1.0710e-08, -1.5786e-07, -1.0401e-05]], device='cuda:0') Epoch 187, bias, value: tensor([ 0.0024, -0.0173, -0.0258, 0.0337, -0.0301, 0.0296, -0.0221, -0.0105, 0.0170, -0.0294], device='cuda:0'), grad: tensor([ 5.0105e-07, -5.2154e-06, 1.3588e-06, 8.4518e-07, 5.0385e-07, 1.4696e-06, -4.8652e-06, 1.5467e-05, 2.5313e-06, -1.2599e-05], device='cuda:0') 100 0.0001 changing lr epoch 186, time 214.92, cls_loss 0.0013 cls_loss_mapping 0.0026 cls_loss_causal 0.4855 re_mapping 0.0053 re_causal 0.0162 /// teacc 99.11 lr 0.00010000 Epoch 188, weight, value: tensor([[-0.1041, -0.1213, -0.0915, ..., -0.1372, -0.0113, 0.0752], [ 0.0562, 0.0593, 0.0424, ..., 0.0986, -0.1367, -0.0516], [ 0.0505, 0.0261, -0.1196, ..., -0.0267, -0.1775, -0.0703], ..., [-0.0469, -0.1041, 0.0834, ..., -0.1020, -0.0278, 0.0080], [ 0.0207, 0.0882, 0.1318, ..., -0.1105, -0.0997, -0.1642], [-0.1382, 0.0134, -0.2125, ..., -0.1030, -0.0911, 0.0842]], device='cuda:0'), grad: tensor([[ 1.5530e-07, 2.0396e-07, 1.8138e-07, ..., 8.2189e-08, -1.1027e-06, -3.7085e-06], [ 4.4424e-07, 1.5367e-08, 4.8429e-07, ..., -3.0966e-08, 1.1828e-07, 5.0524e-08], [-4.4219e-06, 1.1199e-07, -2.5034e-06, ..., 1.0524e-07, 8.6846e-08, 3.5856e-08], ..., [ 2.9057e-06, 3.7020e-08, -4.7917e-07, ..., 6.0303e-08, 2.6776e-08, 2.3982e-08], [ 2.3562e-07, 9.0199e-07, 5.4436e-07, ..., 6.4261e-07, 9.1363e-07, 2.4354e-07], [-2.4005e-07, 2.2026e-07, 2.0070e-07, ..., 6.7102e-07, 6.3702e-07, -5.8906e-07]], device='cuda:0') Epoch 188, bias, value: tensor([ 0.0024, -0.0173, -0.0257, 0.0335, -0.0300, 0.0301, -0.0223, -0.0110, 0.0175, -0.0293], device='cuda:0'), grad: tensor([-6.1058e-06, 1.9064e-06, -8.4266e-06, 7.1377e-06, -2.9653e-06, 1.2834e-06, 1.3988e-06, 5.8068e-07, 3.3583e-06, 1.7807e-06], device='cuda:0') 100 0.0001 changing lr epoch 187, time 215.13, cls_loss 0.0015 cls_loss_mapping 0.0039 cls_loss_causal 0.5109 re_mapping 0.0055 re_causal 0.0170 /// teacc 99.00 lr 0.00010000 Epoch 189, weight, value: tensor([[-0.1050, -0.1214, -0.0921, ..., -0.1372, -0.0113, 0.0753], [ 0.0565, 0.0590, 0.0425, ..., 0.0993, -0.1372, -0.0515], [ 0.0511, 0.0258, -0.1201, ..., -0.0270, -0.1779, -0.0704], ..., [-0.0470, -0.1045, 0.0835, ..., -0.1022, -0.0278, 0.0079], [ 0.0206, 0.0888, 0.1326, ..., -0.1110, -0.1004, -0.1653], [-0.1387, 0.0133, -0.2133, ..., -0.1034, -0.0913, 0.0843]], device='cuda:0'), grad: tensor([[ 3.8184e-08, 2.1420e-08, 3.6787e-08, ..., 3.8184e-08, 1.8161e-08, -8.8476e-09], [-1.5199e-06, -7.9302e-07, -1.7304e-06, ..., -1.4743e-06, 4.5635e-08, -1.0710e-08], [ 6.6962e-07, 2.4354e-07, 9.2108e-07, ..., 4.1258e-07, 2.7940e-08, 1.1176e-08], ..., [-2.9281e-06, 1.7090e-07, -8.8960e-06, ..., 3.0547e-07, 8.3353e-08, 8.0559e-08], [ 1.0170e-06, 2.9895e-07, 1.0626e-06, ..., 5.1409e-07, 2.0163e-07, 4.1956e-07], [ 2.0256e-07, 1.6810e-07, 3.3714e-07, ..., 4.8196e-07, 3.6089e-07, -3.3993e-08]], device='cuda:0') Epoch 189, bias, value: tensor([ 0.0025, -0.0172, -0.0258, 0.0332, -0.0298, 0.0306, -0.0224, -0.0108, 0.0172, -0.0296], device='cuda:0'), grad: tensor([ 1.1316e-07, -3.0901e-06, 1.9297e-06, 1.1377e-05, -1.8058e-06, -5.3924e-07, 1.0133e-06, -1.4022e-05, 3.2205e-06, 1.8179e-06], device='cuda:0') 100 0.0001 changing lr epoch 188, time 214.90, cls_loss 0.0016 cls_loss_mapping 0.0032 cls_loss_causal 0.5258 re_mapping 0.0053 re_causal 0.0162 /// teacc 99.09 lr 0.00010000 Epoch 190, weight, value: tensor([[-0.1068, -0.1217, -0.0922, ..., -0.1386, -0.0115, 0.0754], [ 0.0574, 0.0598, 0.0428, ..., 0.1001, -0.1377, -0.0520], [ 0.0511, 0.0257, -0.1207, ..., -0.0273, -0.1783, -0.0705], ..., [-0.0473, -0.1051, 0.0836, ..., -0.1027, -0.0281, 0.0076], [ 0.0201, 0.0887, 0.1328, ..., -0.1117, -0.1008, -0.1661], [-0.1393, 0.0130, -0.2152, ..., -0.1049, -0.0919, 0.0845]], device='cuda:0'), grad: tensor([[ 7.4506e-09, 4.6566e-09, 5.1223e-09, ..., -6.0536e-09, -8.8476e-09, -8.4750e-08], [-8.2608e-07, -2.3888e-07, -9.7789e-07, ..., -1.2498e-06, 1.3970e-08, -1.0710e-08], [-3.8603e-07, 1.3970e-09, 9.2667e-08, ..., 9.8255e-08, 6.9849e-09, 1.1642e-08], ..., [ 3.2550e-07, 9.2667e-08, 4.2841e-08, ..., 3.4459e-07, 1.1176e-08, 9.3132e-09], [ 1.8161e-08, 7.9162e-09, 1.7695e-08, ..., 9.1270e-08, 1.1083e-07, 1.3923e-07], [ 5.0291e-08, 1.1642e-07, 7.5903e-08, ..., 2.0489e-07, 6.7987e-08, 1.4901e-08]], device='cuda:0') Epoch 190, bias, value: tensor([ 0.0023, -0.0169, -0.0259, 0.0334, -0.0292, 0.0305, -0.0224, -0.0109, 0.0169, -0.0299], device='cuda:0'), grad: tensor([-8.6613e-08, -1.7369e-06, -3.5437e-07, 4.9733e-07, 6.4448e-07, -3.8184e-07, 1.3784e-07, 4.1723e-07, 3.6415e-07, 4.9593e-07], device='cuda:0') 100 0.0001 changing lr epoch 189, time 215.22, cls_loss 0.0018 cls_loss_mapping 0.0042 cls_loss_causal 0.5323 re_mapping 0.0057 re_causal 0.0171 /// teacc 98.86 lr 0.00010000 Epoch 191, weight, value: tensor([[-0.1075, -0.1218, -0.0924, ..., -0.1386, -0.0114, 0.0755], [ 0.0578, 0.0597, 0.0430, ..., 0.1003, -0.1391, -0.0522], [ 0.0510, 0.0255, -0.1209, ..., -0.0277, -0.1785, -0.0709], ..., [-0.0476, -0.1053, 0.0836, ..., -0.1030, -0.0280, 0.0074], [ 0.0206, 0.0890, 0.1333, ..., -0.1121, -0.1019, -0.1662], [-0.1408, 0.0125, -0.2164, ..., -0.1073, -0.0928, 0.0841]], device='cuda:0'), grad: tensor([[ 3.5577e-06, 1.1967e-07, 1.1967e-07, ..., 6.6590e-08, 2.2352e-08, 2.0135e-06], [ 1.2154e-06, 1.3039e-08, -5.0059e-07, ..., -6.8406e-07, 3.7253e-08, 8.4285e-07], [ 6.9094e-04, 1.6555e-05, 5.6997e-06, ..., 8.0327e-07, 1.9558e-08, 4.1294e-04], ..., [ 7.5847e-06, 2.5518e-07, 2.6124e-07, ..., 2.4121e-07, 8.0559e-08, 4.5747e-06], [ 2.5854e-05, -2.0191e-05, -7.5661e-06, ..., -7.2550e-07, 1.7760e-06, 2.5049e-05], [ 1.0729e-06, 2.2072e-07, 1.2759e-07, ..., 2.6962e-07, 1.5786e-07, -2.1886e-07]], device='cuda:0') Epoch 191, bias, value: tensor([ 0.0023, -0.0168, -0.0262, 0.0338, -0.0284, 0.0303, -0.0223, -0.0110, 0.0172, -0.0308], device='cuda:0'), grad: tensor([ 1.4827e-05, 6.1393e-06, 2.8305e-03, 3.7694e-04, 2.6301e-06, -3.4370e-03, 2.2218e-05, 3.2008e-05, 1.4913e-04, 3.6526e-06], device='cuda:0') 100 0.0001 changing lr epoch 190, time 214.79, cls_loss 0.0016 cls_loss_mapping 0.0037 cls_loss_causal 0.5242 re_mapping 0.0056 re_causal 0.0168 /// teacc 98.90 lr 0.00010000 Epoch 192, weight, value: tensor([[-0.1081, -0.1218, -0.0927, ..., -0.1387, -0.0114, 0.0755], [ 0.0573, 0.0570, 0.0429, ..., 0.0981, -0.1398, -0.0556], [ 0.0503, 0.0255, -0.1212, ..., -0.0280, -0.1791, -0.0727], ..., [-0.0478, -0.1057, 0.0837, ..., -0.1033, -0.0287, 0.0080], [ 0.0206, 0.0888, 0.1336, ..., -0.1128, -0.1048, -0.1676], [-0.1388, 0.0141, -0.2167, ..., -0.1053, -0.0933, 0.0862]], device='cuda:0'), grad: tensor([[ 7.7300e-08, -1.1027e-05, 6.2864e-08, ..., 1.1176e-08, -1.9565e-05, -5.8621e-05], [-6.0070e-07, -2.1886e-07, -6.1933e-07, ..., -5.4017e-07, 4.2375e-08, -2.2352e-08], [ 1.4855e-07, 3.3295e-07, 1.8021e-07, ..., 6.1002e-08, 4.4936e-07, 1.4259e-06], ..., [ 2.8312e-07, 2.8871e-07, -3.1898e-07, ..., 1.2852e-07, 1.7276e-07, 7.3947e-07], [-2.0918e-06, 5.5088e-07, -1.4976e-06, ..., 2.3702e-07, 2.7940e-06, 7.7635e-06], [ 5.0897e-07, 9.1270e-07, 6.8266e-07, ..., 2.9802e-08, 2.5872e-06, 6.0759e-06]], device='cuda:0') Epoch 192, bias, value: tensor([ 0.0023, -0.0187, -0.0277, 0.0331, -0.0283, 0.0325, -0.0224, -0.0109, 0.0159, -0.0291], device='cuda:0'), grad: tensor([-8.7976e-05, -9.6671e-07, 2.4959e-06, 8.4490e-06, 3.1590e-06, -3.8855e-06, 5.9992e-05, 6.1840e-07, 8.0466e-06, 1.0036e-05], device='cuda:0') 100 0.0001 changing lr epoch 191, time 215.01, cls_loss 0.0014 cls_loss_mapping 0.0033 cls_loss_causal 0.5111 re_mapping 0.0054 re_causal 0.0163 /// teacc 99.06 lr 0.00010000 Epoch 193, weight, value: tensor([[-0.1085, -0.1219, -0.0928, ..., -0.1389, -0.0116, 0.0756], [ 0.0575, 0.0571, 0.0430, ..., 0.0982, -0.1402, -0.0557], [ 0.0510, 0.0269, -0.1207, ..., -0.0275, -0.1795, -0.0729], ..., [-0.0480, -0.1060, 0.0839, ..., -0.1034, -0.0283, 0.0083], [ 0.0201, 0.0881, 0.1334, ..., -0.1134, -0.1055, -0.1684], [-0.1387, 0.0143, -0.2178, ..., -0.1054, -0.0930, 0.0866]], device='cuda:0'), grad: tensor([[ 9.1782e-07, 4.8801e-07, 1.3970e-08, ..., 4.1910e-09, 2.0862e-07, 1.9185e-07], [-1.1083e-07, -3.2596e-08, -1.7742e-07, ..., -1.2899e-07, 2.9337e-08, -8.8476e-09], [-2.0657e-06, -6.8638e-07, 6.1002e-08, ..., 1.9092e-08, 4.5635e-08, -6.4773e-07], ..., [ 2.4363e-06, 1.1316e-07, 6.4149e-06, ..., 7.2177e-08, 8.3819e-09, 2.6878e-06], [ 4.4191e-07, 4.8196e-07, -3.9348e-07, ..., 1.9092e-08, 6.5146e-07, 4.3586e-07], [ 2.2212e-07, 1.6624e-07, 1.9418e-07, ..., 4.3772e-08, 4.9360e-08, 2.4214e-08]], device='cuda:0') Epoch 193, bias, value: tensor([ 0.0023, -0.0187, -0.0271, 0.0329, -0.0285, 0.0326, -0.0224, -0.0106, 0.0151, -0.0289], device='cuda:0'), grad: tensor([ 3.0808e-06, -1.9372e-07, -5.6773e-06, -1.5184e-05, 2.4028e-07, 1.4575e-06, -3.3602e-06, 1.5378e-05, 3.4086e-06, 8.1724e-07], device='cuda:0') 100 0.0001 changing lr epoch 192, time 214.76, cls_loss 0.0016 cls_loss_mapping 0.0036 cls_loss_causal 0.5408 re_mapping 0.0056 re_causal 0.0168 /// teacc 98.84 lr 0.00010000 Epoch 194, weight, value: tensor([[-0.1095, -0.1217, -0.0925, ..., -0.1390, -0.0112, 0.0759], [ 0.0578, 0.0572, 0.0433, ..., 0.0986, -0.1402, -0.0556], [ 0.0504, 0.0267, -0.1200, ..., -0.0277, -0.1798, -0.0729], ..., [-0.0485, -0.1055, 0.0839, ..., -0.1037, -0.0289, 0.0085], [ 0.0199, 0.0886, 0.1329, ..., -0.1136, -0.1059, -0.1690], [-0.1396, 0.0141, -0.2202, ..., -0.1057, -0.0925, 0.0868]], device='cuda:0'), grad: tensor([[-9.1363e-07, 5.4017e-07, -2.5611e-06, ..., 7.9162e-09, -1.3737e-07, -9.5442e-06], [-8.5086e-06, -4.5039e-06, -5.0031e-06, ..., -2.1476e-06, 3.3295e-07, 4.7833e-06], [ 1.9372e-07, 1.1148e-06, 1.9204e-06, ..., 1.3970e-07, 2.6077e-08, 4.9500e-07], ..., [ 8.5607e-06, 4.3511e-06, 6.0983e-06, ..., 1.7481e-06, 8.7544e-08, 2.6394e-06], [-2.4755e-06, -1.8803e-06, -2.7660e-06, ..., 5.6345e-08, 7.3435e-07, 1.0105e-06], [ 1.1455e-06, -4.8801e-06, 9.9652e-07, ..., 8.9407e-08, -1.0468e-06, -1.0453e-05]], device='cuda:0') Epoch 194, bias, value: tensor([ 0.0026, -0.0185, -0.0271, 0.0340, -0.0291, 0.0325, -0.0228, -0.0110, 0.0150, -0.0289], device='cuda:0'), grad: tensor([-1.2413e-05, -1.0870e-05, 3.1926e-06, 1.1697e-06, 2.2963e-05, 8.2329e-06, -8.1211e-06, 2.0295e-05, -6.8545e-06, -1.7643e-05], device='cuda:0') 100 0.0001 changing lr epoch 193, time 214.77, cls_loss 0.0013 cls_loss_mapping 0.0025 cls_loss_causal 0.5221 re_mapping 0.0056 re_causal 0.0165 /// teacc 99.04 lr 0.00010000 Epoch 195, weight, value: tensor([[-0.1101, -0.1218, -0.0927, ..., -0.1390, -0.0112, 0.0760], [ 0.0579, 0.0571, 0.0433, ..., 0.0986, -0.1413, -0.0557], [ 0.0505, 0.0265, -0.1202, ..., -0.0283, -0.1803, -0.0731], ..., [-0.0487, -0.1056, 0.0841, ..., -0.1040, -0.0293, 0.0087], [ 0.0198, 0.0883, 0.1328, ..., -0.1137, -0.1066, -0.1702], [-0.1394, 0.0143, -0.2213, ..., -0.1060, -0.0926, 0.0871]], device='cuda:0'), grad: tensor([[ 6.6590e-08, 1.0245e-07, 8.4285e-08, ..., 2.3749e-08, 2.8163e-06, 2.4021e-05], [-1.4575e-07, -8.9873e-08, -4.7451e-07, ..., -4.3493e-07, 7.6368e-08, 2.3423e-07], [ 8.3819e-08, 1.3877e-07, 2.1746e-07, ..., 8.1956e-08, 9.6858e-08, 7.2410e-07], ..., [ 1.4482e-07, 2.7986e-07, 8.4750e-08, ..., 1.3644e-07, 6.4261e-08, 7.9023e-07], [-2.4168e-07, 5.9744e-07, -4.5076e-07, ..., 7.9162e-08, 5.8534e-07, 1.9185e-06], [ 1.1036e-07, -1.4408e-06, 9.3598e-08, ..., 1.8161e-08, -3.1758e-06, -3.0324e-05]], device='cuda:0') Epoch 195, bias, value: tensor([ 0.0026, -0.0186, -0.0271, 0.0342, -0.0290, 0.0324, -0.0228, -0.0109, 0.0145, -0.0288], device='cuda:0'), grad: tensor([ 3.7193e-05, -8.3819e-08, 1.4501e-06, -7.6182e-07, 4.8429e-06, -1.5516e-06, 7.4459e-07, 1.5870e-06, 3.8892e-06, -4.7326e-05], device='cuda:0') 100 0.0001 changing lr epoch 194, time 215.26, cls_loss 0.0017 cls_loss_mapping 0.0036 cls_loss_causal 0.5500 re_mapping 0.0052 re_causal 0.0165 /// teacc 99.09 lr 0.00010000 Epoch 196, weight, value: tensor([[-0.1109, -0.1220, -0.0930, ..., -0.1391, -0.0111, 0.0763], [ 0.0577, 0.0571, 0.0433, ..., 0.0986, -0.1422, -0.0559], [ 0.0517, 0.0266, -0.1207, ..., -0.0283, -0.1810, -0.0731], ..., [-0.0488, -0.1060, 0.0845, ..., -0.1045, -0.0309, 0.0091], [ 0.0199, 0.0887, 0.1330, ..., -0.1140, -0.1072, -0.1711], [-0.1415, 0.0140, -0.2255, ..., -0.1068, -0.0923, 0.0870]], device='cuda:0'), grad: tensor([[ 1.7202e-06, 1.2526e-06, 8.1491e-08, ..., 9.0618e-07, -3.7532e-07, -3.0315e-07], [ 1.6963e-04, 1.2493e-04, -1.2163e-06, ..., 9.0122e-05, 3.2097e-05, 1.2541e-04], [-1.9264e-04, -1.4162e-04, 7.1106e-07, ..., -1.0234e-04, -3.6329e-05, -1.4198e-04], ..., [ 8.0001e-07, 5.2294e-07, 4.6566e-10, ..., 4.5169e-07, 1.1083e-07, 1.6252e-07], [ 9.8441e-07, 4.0187e-07, -1.3066e-06, ..., 6.1886e-07, 3.0315e-07, 1.2927e-06], [ 1.7444e-06, 1.2880e-06, 2.8824e-07, ..., 9.4762e-07, 3.7486e-07, 1.4240e-06]], device='cuda:0') Epoch 196, bias, value: tensor([ 0.0027, -0.0189, -0.0265, 0.0343, -0.0281, 0.0323, -0.0230, -0.0105, 0.0144, -0.0297], device='cuda:0'), grad: tensor([ 6.1393e-06, 8.2302e-04, -9.3269e-04, 8.7395e-06, 3.6448e-05, 2.1473e-05, 1.9789e-05, 2.7139e-06, 5.5991e-06, 8.8215e-06], device='cuda:0') 100 0.0001 changing lr epoch 195, time 215.06, cls_loss 0.0015 cls_loss_mapping 0.0029 cls_loss_causal 0.4920 re_mapping 0.0051 re_causal 0.0158 /// teacc 99.08 lr 0.00010000 Epoch 197, weight, value: tensor([[-0.1115, -0.1222, -0.0937, ..., -0.1392, -0.0112, 0.0762], [ 0.0578, 0.0573, 0.0443, ..., 0.0986, -0.1417, -0.0550], [ 0.0523, 0.0271, -0.1212, ..., -0.0278, -0.1807, -0.0724], ..., [-0.0492, -0.1076, 0.0839, ..., -0.1048, -0.0330, 0.0079], [ 0.0203, 0.0886, 0.1334, ..., -0.1141, -0.1080, -0.1723], [-0.1421, 0.0143, -0.2266, ..., -0.1071, -0.0921, 0.0876]], device='cuda:0'), grad: tensor([[ 1.4761e-07, 8.3353e-08, 9.2201e-08, ..., 4.6100e-08, -2.6543e-08, -4.2049e-07], [-2.2352e-08, 2.9802e-07, 7.2177e-08, ..., 1.4482e-07, 2.0210e-07, 6.0070e-08], [-7.0315e-08, 7.4506e-08, 5.4948e-08, ..., 7.4506e-08, 4.2375e-08, 2.0955e-08], ..., [ 6.2818e-07, 5.6298e-07, 1.2703e-06, ..., 2.0768e-07, 8.8476e-08, 2.0489e-08], [-3.4384e-06, -1.0328e-06, -8.1956e-06, ..., 1.1222e-06, 7.6508e-07, 3.8277e-07], [ 6.4261e-08, 1.8813e-06, 9.5926e-08, ..., 3.9935e-06, 2.7958e-06, -1.9651e-06]], device='cuda:0') Epoch 197, bias, value: tensor([ 0.0027, -0.0179, -0.0259, 0.0343, -0.0288, 0.0336, -0.0238, -0.0117, 0.0144, -0.0294], device='cuda:0'), grad: tensor([ 4.3772e-08, 1.0710e-06, 1.0338e-07, 4.8429e-08, -1.1668e-05, 1.0073e-05, 1.3206e-06, 2.5686e-06, -9.3728e-06, 5.8375e-06], device='cuda:0') 100 0.0001 changing lr epoch 196, time 214.86, cls_loss 0.0013 cls_loss_mapping 0.0029 cls_loss_causal 0.5239 re_mapping 0.0054 re_causal 0.0168 /// teacc 99.02 lr 0.00010000 Epoch 198, weight, value: tensor([[-0.1123, -0.1225, -0.0941, ..., -0.1393, -0.0112, 0.0762], [ 0.0580, 0.0576, 0.0445, ..., 0.0987, -0.1423, -0.0548], [ 0.0520, 0.0268, -0.1218, ..., -0.0281, -0.1811, -0.0726], ..., [-0.0494, -0.1081, 0.0839, ..., -0.1051, -0.0333, 0.0074], [ 0.0209, 0.0888, 0.1339, ..., -0.1145, -0.1084, -0.1733], [-0.1422, 0.0143, -0.2270, ..., -0.1075, -0.0924, 0.0881]], device='cuda:0'), grad: tensor([[ 3.5390e-08, 2.2817e-08, 1.2573e-08, ..., 1.8626e-08, -8.1491e-08, -2.6636e-07], [ 1.2852e-07, 3.1013e-07, 2.2817e-07, ..., 4.7404e-07, 4.5262e-07, 3.6787e-08], [ 6.4448e-07, 5.3551e-08, 3.9581e-08, ..., 3.5390e-08, 3.1199e-08, 1.3970e-08], ..., [ 3.5483e-07, 1.3551e-07, -4.1677e-07, ..., 1.6205e-07, 1.3970e-07, 4.0978e-08], [ 2.0536e-07, 2.9197e-07, 2.8126e-07, ..., 5.7742e-07, 5.4203e-07, 1.0477e-07], [ 4.1910e-08, 3.2764e-06, 1.4426e-06, ..., 5.5619e-06, 5.0627e-06, -1.2107e-07]], device='cuda:0') Epoch 198, bias, value: tensor([ 0.0026, -0.0177, -0.0261, 0.0343, -0.0288, 0.0335, -0.0238, -0.0120, 0.0145, -0.0293], device='cuda:0'), grad: tensor([-2.6310e-07, 1.6531e-06, 1.6615e-06, -5.7667e-06, -1.6153e-05, 2.7735e-06, 6.8592e-07, 6.2492e-07, 2.2240e-06, 1.2554e-05], device='cuda:0') 100 0.0001 changing lr epoch 197, time 214.72, cls_loss 0.0015 cls_loss_mapping 0.0029 cls_loss_causal 0.4986 re_mapping 0.0056 re_causal 0.0161 /// teacc 99.06 lr 0.00010000 Epoch 199, weight, value: tensor([[-0.1127, -0.1225, -0.0945, ..., -0.1393, -0.0108, 0.0767], [ 0.0583, 0.0576, 0.0447, ..., 0.0988, -0.1429, -0.0549], [ 0.0519, 0.0266, -0.1225, ..., -0.0287, -0.1826, -0.0731], ..., [-0.0495, -0.1084, 0.0840, ..., -0.1052, -0.0332, 0.0073], [ 0.0210, 0.0890, 0.1342, ..., -0.1148, -0.1091, -0.1745], [-0.1423, 0.0140, -0.2277, ..., -0.1081, -0.0934, 0.0881]], device='cuda:0'), grad: tensor([[ 6.5193e-08, 3.9116e-08, 3.8650e-08, ..., 2.7008e-08, 2.6543e-08, -3.7719e-08], [ 1.6699e-06, 1.1921e-07, 6.0201e-06, ..., 2.2678e-07, 1.7229e-07, 2.1905e-06], [ 2.6450e-07, 1.2992e-07, 5.4250e-07, ..., 1.2619e-07, 8.4750e-08, 7.7300e-08], ..., [-3.8035e-06, 8.8476e-09, -1.4648e-05, ..., 5.5879e-09, 2.6543e-08, 1.6717e-06], [ 1.1120e-06, -1.0151e-07, 4.2357e-06, ..., 4.6566e-08, 1.6857e-07, 3.2224e-07], [ 6.5798e-07, 1.0710e-07, 1.7984e-06, ..., 1.3737e-07, 1.0617e-07, -7.0259e-06]], device='cuda:0') Epoch 199, bias, value: tensor([ 0.0029, -0.0176, -0.0265, 0.0347, -0.0281, 0.0346, -0.0249, -0.0120, 0.0142, -0.0297], device='cuda:0'), grad: tensor([ 2.9569e-07, 1.4260e-05, 1.6149e-06, 2.0042e-06, 4.5635e-06, -2.2091e-06, 5.6904e-07, -1.9833e-05, 7.6294e-06, -8.9332e-06], device='cuda:0') 100 0.0001 changing lr epoch 198, time 215.26, cls_loss 0.0016 cls_loss_mapping 0.0029 cls_loss_causal 0.5050 re_mapping 0.0054 re_causal 0.0162 /// teacc 99.11 lr 0.00010000 Epoch 200, weight, value: tensor([[-0.1105, -0.1227, -0.0923, ..., -0.1395, -0.0105, 0.0771], [ 0.0582, 0.0574, 0.0445, ..., 0.0985, -0.1439, -0.0551], [ 0.0518, 0.0259, -0.1232, ..., -0.0303, -0.1839, -0.0733], ..., [-0.0494, -0.1088, 0.0844, ..., -0.1052, -0.0331, 0.0077], [ 0.0212, 0.0889, 0.1343, ..., -0.1150, -0.1098, -0.1753], [-0.1426, 0.0137, -0.2286, ..., -0.1088, -0.0946, 0.0882]], device='cuda:0'), grad: tensor([[ 2.2538e-07, 4.7963e-08, 7.3109e-08, ..., 2.3283e-08, -9.8720e-08, -3.0780e-07], [-1.4126e-05, -3.5852e-05, -7.3612e-05, ..., -1.4193e-05, 2.1420e-08, -1.9461e-05], [-7.6462e-07, 9.9186e-08, 1.5553e-07, ..., 5.6811e-08, 3.4925e-08, 2.3749e-08], ..., [ 9.9093e-06, 2.5079e-05, 5.1439e-05, ..., 9.9316e-06, 2.5611e-08, 1.3575e-05], [ 7.0315e-08, 6.8266e-07, 1.4743e-06, ..., 4.2981e-07, 3.4925e-08, 6.0303e-07], [ 3.0845e-06, 7.7933e-06, 1.5974e-05, ..., 3.1516e-06, 1.0990e-07, 4.2394e-06]], device='cuda:0') Epoch 200, bias, value: tensor([ 0.0034, -0.0181, -0.0271, 0.0347, -0.0272, 0.0341, -0.0246, -0.0115, 0.0140, -0.0304], device='cuda:0'), grad: tensor([ 3.0501e-07, -1.1569e-04, -2.3972e-06, 2.2668e-06, 4.9211e-06, 1.3206e-06, 5.8161e-07, 8.1062e-05, 2.5164e-06, 2.5392e-05], device='cuda:0') 100 0.0001 changing lr epoch 199, time 215.09, cls_loss 0.0016 cls_loss_mapping 0.0028 cls_loss_causal 0.5235 re_mapping 0.0055 re_causal 0.0165 /// teacc 99.10 lr 0.00010000 Epoch 201, weight, value: tensor([[-0.1111, -0.1229, -0.0927, ..., -0.1396, -0.0104, 0.0773], [ 0.0578, 0.0582, 0.0439, ..., 0.0988, -0.1445, -0.0552], [ 0.0532, 0.0257, -0.1235, ..., -0.0306, -0.1842, -0.0723], ..., [-0.0484, -0.1097, 0.0855, ..., -0.1056, -0.0332, 0.0079], [ 0.0200, 0.0880, 0.1334, ..., -0.1158, -0.1105, -0.1763], [-0.1449, 0.0127, -0.2293, ..., -0.1107, -0.0957, 0.0876]], device='cuda:0'), grad: tensor([[ 3.7253e-08, 5.4017e-08, 9.3598e-08, ..., 4.8894e-08, 2.5146e-08, 1.6857e-07], [ 5.5414e-08, 1.2061e-07, 1.3346e-06, ..., 1.4156e-07, 5.2620e-08, 2.5295e-06], [ 2.8964e-07, 6.4727e-08, 1.3132e-07, ..., 4.7963e-08, 1.8626e-08, 1.3970e-07], ..., [ 3.1432e-07, 1.2433e-07, -6.3032e-06, ..., 7.2177e-08, 3.1199e-08, -1.2219e-05], [-2.5984e-07, -3.7253e-08, -1.8440e-07, ..., 1.1222e-07, 5.2154e-08, 2.5984e-07], [ 4.7032e-08, 2.4959e-06, 2.2482e-06, ..., 3.3807e-06, 1.1697e-06, 3.8221e-06]], device='cuda:0') Epoch 201, bias, value: tensor([ 0.0035, -0.0185, -0.0261, 0.0349, -0.0255, 0.0338, -0.0246, -0.0106, 0.0126, -0.0320], device='cuda:0'), grad: tensor([ 5.2666e-07, 5.4464e-06, 9.8441e-07, 2.8051e-06, -9.7603e-06, 5.5656e-06, 1.3653e-06, -2.3067e-05, 1.7649e-07, 1.5959e-05], device='cuda:0') 100 0.0001 changing lr epoch 200, time 215.10, cls_loss 0.0015 cls_loss_mapping 0.0027 cls_loss_causal 0.4936 re_mapping 0.0053 re_causal 0.0161 /// teacc 99.05 lr 0.00010000 Epoch 202, weight, value: tensor([[-0.1119, -0.1230, -0.0929, ..., -0.1397, -0.0104, 0.0773], [ 0.0568, 0.0572, 0.0434, ..., 0.0988, -0.1457, -0.0566], [ 0.0541, 0.0269, -0.1241, ..., -0.0307, -0.1835, -0.0721], ..., [-0.0478, -0.1102, 0.0864, ..., -0.1058, -0.0337, 0.0087], [ 0.0203, 0.0882, 0.1336, ..., -0.1160, -0.1109, -0.1771], [-0.1450, 0.0128, -0.2305, ..., -0.1111, -0.0961, 0.0881]], device='cuda:0'), grad: tensor([[ 2.1420e-08, 2.6077e-08, 2.0023e-08, ..., 2.8405e-08, -5.0664e-07, -1.5358e-06], [-6.7847e-07, -4.6100e-08, -4.3446e-07, ..., -1.3877e-07, 6.1002e-08, -1.8114e-07], [-2.0489e-08, 4.8429e-08, 9.3598e-08, ..., 8.2888e-08, 1.9046e-07, 5.1502e-07], ..., [ 4.9733e-07, 2.9011e-07, 3.9814e-07, ..., 3.0268e-07, 1.5693e-07, 1.3364e-07], [-6.5193e-09, 1.3318e-07, 8.7544e-08, ..., 1.7928e-07, 1.6438e-07, 9.7323e-08], [ 5.8673e-08, 7.0920e-07, 4.2981e-07, ..., 8.7544e-07, 7.9395e-07, 7.7998e-07]], device='cuda:0') Epoch 202, bias, value: tensor([ 0.0034, -0.0196, -0.0255, 0.0357, -0.0252, 0.0328, -0.0243, -0.0096, 0.0124, -0.0320], device='cuda:0'), grad: tensor([-3.7290e-06, -7.5717e-07, 1.2051e-06, 7.2410e-07, -3.7439e-06, -5.2527e-07, 4.4657e-07, 1.4538e-06, 7.0082e-07, 4.2170e-06], device='cuda:0') 100 0.0001 changing lr epoch 201, time 214.90, cls_loss 0.0012 cls_loss_mapping 0.0027 cls_loss_causal 0.4848 re_mapping 0.0055 re_causal 0.0159 /// teacc 99.04 lr 0.00010000 Epoch 203, weight, value: tensor([[-0.1122, -0.1235, -0.0932, ..., -0.1402, -0.0106, 0.0774], [ 0.0570, 0.0573, 0.0436, ..., 0.0989, -0.1467, -0.0567], [ 0.0544, 0.0267, -0.1240, ..., -0.0309, -0.1840, -0.0722], ..., [-0.0482, -0.1108, 0.0863, ..., -0.1063, -0.0341, 0.0086], [ 0.0200, 0.0882, 0.1336, ..., -0.1168, -0.1119, -0.1776], [-0.1440, 0.0128, -0.2307, ..., -0.1116, -0.0964, 0.0884]], device='cuda:0'), grad: tensor([[ 3.2596e-09, 5.4017e-08, 8.3819e-09, ..., 1.7602e-07, 1.0105e-07, -9.1717e-06], [-7.3574e-08, 1.9977e-07, -1.4435e-08, ..., 2.8405e-08, 6.5193e-08, 2.1048e-07], [ 1.9325e-07, 1.0477e-07, 1.2014e-07, ..., 7.3109e-08, 3.2131e-08, 1.1353e-06], ..., [ 5.0291e-08, 3.4226e-07, 5.4482e-08, ..., 1.9092e-08, 1.4901e-08, 6.2492e-07], [-6.2259e-07, 5.0943e-07, -2.4354e-07, ..., 3.0454e-07, 7.8790e-07, 1.6559e-06], [ 1.2573e-08, -3.8743e-06, -9.5833e-07, ..., 1.1036e-07, 1.1083e-07, -4.4927e-06]], device='cuda:0') Epoch 203, bias, value: tensor([ 0.0034, -0.0196, -0.0254, 0.0355, -0.0248, 0.0324, -0.0240, -0.0098, 0.0120, -0.0318], device='cuda:0'), grad: tensor([-1.6749e-05, 5.1642e-07, 2.6599e-06, 2.4401e-06, 1.7405e-05, -3.9302e-06, 1.3076e-06, 1.2945e-06, 3.4906e-06, -8.4788e-06], device='cuda:0') 100 0.0001 changing lr epoch 202, time 214.94, cls_loss 0.0014 cls_loss_mapping 0.0036 cls_loss_causal 0.4930 re_mapping 0.0055 re_causal 0.0155 /// teacc 99.02 lr 0.00010000 Epoch 204, weight, value: tensor([[-0.1123, -0.1236, -0.0934, ..., -0.1403, -0.0106, 0.0777], [ 0.0570, 0.0574, 0.0436, ..., 0.0995, -0.1470, -0.0568], [ 0.0544, 0.0264, -0.1246, ..., -0.0315, -0.1842, -0.0724], ..., [-0.0480, -0.1112, 0.0865, ..., -0.1068, -0.0344, 0.0090], [ 0.0206, 0.0890, 0.1344, ..., -0.1170, -0.1127, -0.1792], [-0.1436, 0.0128, -0.2312, ..., -0.1119, -0.0964, 0.0886]], device='cuda:0'), grad: tensor([[ 1.1781e-07, 1.2713e-07, 7.2643e-08, ..., -4.1910e-09, -5.6345e-08, -3.3015e-07], [-1.6531e-07, 3.9581e-08, -3.0873e-07, ..., -3.8929e-07, 1.0245e-08, 7.4506e-08], [-5.1223e-09, 3.3434e-07, 2.1514e-07, ..., 3.3062e-08, 5.5879e-09, 1.1642e-08], ..., [ 4.0326e-07, 1.2945e-07, -4.2375e-08, ..., 2.6543e-07, 9.7789e-09, -4.7823e-07], [-1.7574e-06, -1.8859e-06, -1.2126e-06, ..., 3.1665e-08, 2.5611e-08, 2.6543e-08], [ 1.9185e-07, 3.3574e-07, 4.3120e-07, ..., 5.4017e-07, 1.2061e-07, 3.8045e-07]], device='cuda:0') Epoch 204, bias, value: tensor([ 0.0035, -0.0196, -0.0256, 0.0348, -0.0250, 0.0327, -0.0242, -0.0095, 0.0122, -0.0318], device='cuda:0'), grad: tensor([-3.5856e-08, -4.3772e-08, 3.8091e-07, 3.5651e-06, -8.9267e-07, -1.2163e-06, 1.7043e-06, 8.0094e-08, -5.9195e-06, 2.3618e-06], device='cuda:0') 100 0.0001 changing lr epoch 203, time 214.94, cls_loss 0.0015 cls_loss_mapping 0.0029 cls_loss_causal 0.5382 re_mapping 0.0053 re_causal 0.0159 /// teacc 99.04 lr 0.00010000 Epoch 205, weight, value: tensor([[-0.1134, -0.1238, -0.0941, ..., -0.1404, -0.0107, 0.0771], [ 0.0570, 0.0574, 0.0435, ..., 0.0995, -0.1484, -0.0572], [ 0.0536, 0.0263, -0.1251, ..., -0.0317, -0.1844, -0.0728], ..., [-0.0479, -0.1118, 0.0867, ..., -0.1070, -0.0348, 0.0089], [ 0.0216, 0.0904, 0.1356, ..., -0.1171, -0.1130, -0.1793], [-0.1435, 0.0131, -0.2316, ..., -0.1121, -0.0967, 0.0901]], device='cuda:0'), grad: tensor([[ 9.2667e-08, 1.5413e-07, 3.0734e-08, ..., 2.5611e-07, 2.3516e-07, 2.2072e-07], [-7.2643e-08, 8.9407e-08, -1.4715e-07, ..., 2.0117e-07, 1.4575e-07, 6.6590e-08], [-3.6322e-08, 8.8010e-08, 3.1199e-08, ..., 2.8312e-07, 1.1548e-07, 2.6543e-08], ..., [ 9.3132e-08, 8.0559e-08, -1.7183e-07, ..., 7.9162e-09, 5.9605e-08, 6.2399e-08], [-1.8952e-07, 3.8184e-08, -2.9569e-07, ..., 1.5320e-07, 1.1548e-07, 7.2643e-08], [-7.4971e-08, 2.7847e-06, 5.4017e-08, ..., 3.8128e-06, 9.1176e-07, 5.3737e-07]], device='cuda:0') Epoch 205, bias, value: tensor([ 0.0031, -0.0200, -0.0261, 0.0348, -0.0260, 0.0332, -0.0242, -0.0092, 0.0130, -0.0310], device='cuda:0'), grad: tensor([ 8.1910e-07, 4.3772e-07, 4.4657e-07, 4.3884e-06, -9.8944e-06, -4.1090e-06, -8.8243e-07, -1.5227e-07, -3.0082e-07, 9.2387e-06], device='cuda:0') 100 0.0001 changing lr epoch 204, time 214.80, cls_loss 0.0013 cls_loss_mapping 0.0021 cls_loss_causal 0.5135 re_mapping 0.0050 re_causal 0.0155 /// teacc 99.09 lr 0.00010000 Epoch 206, weight, value: tensor([[-0.1139, -0.1241, -0.0942, ..., -0.1404, -0.0107, 0.0772], [ 0.0569, 0.0575, 0.0437, ..., 0.0998, -0.1493, -0.0572], [ 0.0535, 0.0263, -0.1260, ..., -0.0318, -0.1847, -0.0728], ..., [-0.0481, -0.1128, 0.0868, ..., -0.1079, -0.0351, 0.0088], [ 0.0227, 0.0905, 0.1364, ..., -0.1173, -0.1133, -0.1800], [-0.1439, 0.0130, -0.2319, ..., -0.1123, -0.0970, 0.0904]], device='cuda:0'), grad: tensor([[ 1.3551e-07, 1.8533e-07, 7.8231e-08, ..., 2.3283e-08, 1.2480e-07, -6.8545e-07], [ 3.7998e-06, 8.4285e-08, 1.0282e-05, ..., 8.5775e-07, 8.9407e-08, 8.5682e-08], [ 2.3469e-07, 2.2352e-08, 2.0005e-06, ..., 1.7602e-07, 2.7008e-08, 4.2375e-08], ..., [-6.4932e-06, 2.0023e-08, -1.8030e-05, ..., -1.4780e-06, 1.7229e-08, -1.4901e-08], [ 1.8878e-06, 3.5623e-07, 4.3511e-06, ..., 3.9535e-07, 5.6578e-07, 2.9523e-07], [ 1.1409e-07, 1.9837e-07, 1.8533e-07, ..., 5.0291e-08, 3.5157e-07, 2.2491e-07]], device='cuda:0') Epoch 206, bias, value: tensor([ 0.0031, -0.0201, -0.0261, 0.0349, -0.0263, 0.0332, -0.0240, -0.0093, 0.0135, -0.0311], device='cuda:0'), grad: tensor([-1.6438e-07, 2.0444e-05, 2.9746e-06, 6.1747e-07, 1.4221e-06, 2.2314e-06, -4.2804e-06, -3.5018e-05, 1.0535e-05, 1.2498e-06], device='cuda:0') 100 0.0001 changing lr epoch 205, time 214.61, cls_loss 0.0014 cls_loss_mapping 0.0036 cls_loss_causal 0.5177 re_mapping 0.0050 re_causal 0.0153 /// teacc 99.02 lr 0.00010000 Epoch 207, weight, value: tensor([[-0.1120, -0.1245, -0.0920, ..., -0.1413, -0.0111, 0.0773], [ 0.0574, 0.0578, 0.0440, ..., 0.1004, -0.1499, -0.0571], [ 0.0539, 0.0261, -0.1263, ..., -0.0321, -0.1850, -0.0729], ..., [-0.0487, -0.1133, 0.0866, ..., -0.1084, -0.0354, 0.0087], [ 0.0225, 0.0913, 0.1369, ..., -0.1178, -0.1139, -0.1808], [-0.1442, 0.0134, -0.2323, ..., -0.1124, -0.0973, 0.0909]], device='cuda:0'), grad: tensor([[ 2.9448e-06, 3.3136e-06, 3.6322e-08, ..., 1.8161e-08, -5.9605e-08, 1.7750e-04], [-6.7102e-07, -1.9418e-07, -9.5647e-07, ..., -5.4901e-07, 6.0536e-09, 1.4249e-07], [-1.2882e-05, -1.4178e-05, 8.5682e-08, ..., 4.9360e-08, 3.7253e-09, 1.8347e-06], ..., [ 6.4354e-07, 1.2619e-07, 6.2166e-07, ..., 3.4273e-07, 3.7253e-09, 1.0934e-06], [ 8.5384e-06, 9.4473e-06, -4.6566e-10, ..., 3.5856e-08, 4.6566e-09, 1.5507e-07], [ 1.0822e-06, 1.1036e-06, 7.2643e-08, ..., 9.3598e-08, 2.8405e-08, -1.8370e-04]], device='cuda:0') Epoch 207, bias, value: tensor([ 0.0034, -0.0199, -0.0260, 0.0346, -0.0273, 0.0336, -0.0242, -0.0096, 0.0135, -0.0306], device='cuda:0'), grad: tensor([ 2.4652e-04, -1.3728e-06, -6.9857e-05, -7.9768e-07, 3.1609e-06, 1.5823e-06, 8.7218e-07, 3.2187e-06, 4.8250e-05, -2.3198e-04], device='cuda:0') 100 0.0001 changing lr epoch 206, time 215.30, cls_loss 0.0015 cls_loss_mapping 0.0030 cls_loss_causal 0.5227 re_mapping 0.0051 re_causal 0.0153 /// teacc 98.99 lr 0.00010000 Epoch 208, weight, value: tensor([[-0.1128, -0.1248, -0.0924, ..., -0.1415, -0.0112, 0.0771], [ 0.0574, 0.0581, 0.0440, ..., 0.1010, -0.1504, -0.0570], [ 0.0543, 0.0263, -0.1270, ..., -0.0324, -0.1855, -0.0730], ..., [-0.0486, -0.1140, 0.0870, ..., -0.1088, -0.0346, 0.0090], [ 0.0226, 0.0916, 0.1372, ..., -0.1179, -0.1141, -0.1816], [-0.1446, 0.0136, -0.2333, ..., -0.1127, -0.0976, 0.0913]], device='cuda:0'), grad: tensor([[ 2.8405e-07, 3.6322e-08, 1.2107e-07, ..., 3.8184e-08, -1.5832e-08, -5.0757e-08], [-9.3132e-09, -2.4075e-07, -6.3377e-07, ..., -4.8103e-07, 1.9092e-08, 2.1746e-07], [-3.5912e-06, -6.5705e-07, 1.2144e-06, ..., -1.0394e-06, 3.8184e-08, 2.3516e-07], ..., [ 1.6019e-07, 1.6717e-07, -1.2470e-06, ..., 1.9930e-07, -4.6566e-09, -6.6916e-07], [ 1.7723e-06, 9.7044e-07, -8.1118e-07, ..., 1.1222e-06, 3.1199e-08, 7.1013e-07], [ 1.1735e-07, -4.0280e-07, 1.5553e-07, ..., 1.0757e-07, 7.7765e-08, -7.7114e-07]], device='cuda:0') Epoch 208, bias, value: tensor([ 0.0032, -0.0198, -0.0257, 0.0347, -0.0275, 0.0333, -0.0242, -0.0091, 0.0134, -0.0306], device='cuda:0'), grad: tensor([ 5.5879e-07, 3.3993e-07, -1.0811e-05, 1.9204e-06, 8.6380e-07, 9.1642e-07, 4.2003e-07, -3.3993e-06, 1.0177e-05, -9.7975e-07], device='cuda:0') 100 0.0001 changing lr epoch 207, time 215.12, cls_loss 0.0014 cls_loss_mapping 0.0028 cls_loss_causal 0.5247 re_mapping 0.0052 re_causal 0.0159 /// teacc 98.93 lr 0.00010000 Epoch 209, weight, value: tensor([[-0.1116, -0.1248, -0.0908, ..., -0.1409, -0.0110, 0.0774], [ 0.0571, 0.0582, 0.0438, ..., 0.1008, -0.1519, -0.0572], [ 0.0545, 0.0262, -0.1275, ..., -0.0325, -0.1859, -0.0732], ..., [-0.0481, -0.1143, 0.0876, ..., -0.1088, -0.0348, 0.0092], [ 0.0228, 0.0914, 0.1374, ..., -0.1183, -0.1150, -0.1823], [-0.1453, 0.0139, -0.2340, ..., -0.1130, -0.0967, 0.0917]], device='cuda:0'), grad: tensor([[ 1.2619e-07, 8.5449e-08, 8.7311e-08, ..., 8.5449e-08, -3.2294e-07, -5.5926e-07], [-3.4762e-07, 2.1583e-07, -3.3737e-07, ..., 4.2538e-07, 4.2142e-07, 1.0151e-07], [ 1.8487e-07, 2.1840e-07, 1.4435e-07, ..., 2.6729e-07, 1.9814e-07, 1.9418e-07], ..., [ 2.4587e-07, 2.7288e-07, 1.8184e-07, ..., 3.5716e-07, 2.0792e-07, 1.6764e-08], [-5.2387e-07, 4.7963e-08, -7.8790e-07, ..., 3.8673e-07, 1.0775e-06, 3.9348e-07], [-2.3451e-06, -3.3830e-07, 7.7533e-08, ..., 4.9174e-07, 3.7462e-07, -4.8503e-06]], device='cuda:0') Epoch 209, bias, value: tensor([ 0.0037, -0.0203, -0.0258, 0.0349, -0.0277, 0.0331, -0.0245, -0.0084, 0.0129, -0.0304], device='cuda:0'), grad: tensor([-4.4052e-07, 1.3206e-06, 1.6456e-06, 9.7603e-06, -7.1526e-06, -5.3681e-06, 9.0003e-06, 1.4696e-06, 1.7909e-06, -1.2048e-05], device='cuda:0') 100 0.0001 changing lr epoch 208, time 215.01, cls_loss 0.0016 cls_loss_mapping 0.0023 cls_loss_causal 0.5124 re_mapping 0.0054 re_causal 0.0158 /// teacc 98.97 lr 0.00010000 Epoch 210, weight, value: tensor([[-0.1126, -0.1250, -0.0913, ..., -0.1410, -0.0110, 0.0771], [ 0.0594, 0.0602, 0.0461, ..., 0.1019, -0.1525, -0.0562], [ 0.0540, 0.0254, -0.1288, ..., -0.0326, -0.1863, -0.0738], ..., [-0.0486, -0.1156, 0.0862, ..., -0.1107, -0.0350, 0.0071], [ 0.0210, 0.0895, 0.1367, ..., -0.1184, -0.1156, -0.1839], [-0.1452, 0.0139, -0.2346, ..., -0.1135, -0.0971, 0.0927]], device='cuda:0'), grad: tensor([[ 1.5739e-07, 5.7742e-08, 7.1712e-08, ..., 5.4482e-08, -6.2631e-07, -2.6822e-06], [-2.4289e-06, -6.7009e-07, 6.5528e-06, ..., -1.9185e-06, 6.0070e-08, 1.2303e-06], [-1.7993e-06, 4.1584e-07, 1.3132e-06, ..., 9.4203e-07, 7.4971e-08, 1.0440e-06], ..., [ 5.5553e-07, 3.6880e-07, -4.5091e-05, ..., 5.6764e-07, 1.2992e-07, -1.3530e-05], [ 2.9756e-07, 9.7789e-08, 6.5379e-07, ..., 1.4948e-07, 1.1222e-07, 1.2228e-06], [ 1.7928e-07, 9.4483e-07, 3.0756e-05, ..., 7.0455e-07, 6.1886e-07, 9.5069e-06]], device='cuda:0') Epoch 210, bias, value: tensor([ 0.0034, -0.0175, -0.0264, 0.0346, -0.0274, 0.0333, -0.0245, -0.0105, 0.0110, -0.0301], device='cuda:0'), grad: tensor([-4.6864e-06, 1.7181e-05, 1.3579e-06, 1.2316e-05, -4.6566e-06, 6.1058e-06, 1.6047e-06, -1.2517e-04, 4.9211e-06, 9.0837e-05], device='cuda:0') 100 0.0001 changing lr epoch 209, time 215.01, cls_loss 0.0013 cls_loss_mapping 0.0038 cls_loss_causal 0.5043 re_mapping 0.0055 re_causal 0.0157 /// teacc 99.02 lr 0.00010000 Epoch 211, weight, value: tensor([[-0.1130, -0.1252, -0.0914, ..., -0.1411, -0.0112, 0.0764], [ 0.0603, 0.0608, 0.0462, ..., 0.1025, -0.1534, -0.0563], [ 0.0535, 0.0248, -0.1297, ..., -0.0335, -0.1869, -0.0741], ..., [-0.0484, -0.1158, 0.0874, ..., -0.1110, -0.0357, 0.0079], [ 0.0209, 0.0892, 0.1348, ..., -0.1188, -0.1163, -0.1872], [-0.1454, 0.0138, -0.2357, ..., -0.1138, -0.0972, 0.0937]], device='cuda:0'), grad: tensor([[ 5.3085e-08, 1.9558e-08, 3.2596e-08, ..., 1.2107e-08, 0.0000e+00, 6.3330e-08], [-7.3202e-07, -2.4028e-07, -3.0641e-07, ..., -1.9185e-07, 4.8429e-08, 5.1316e-07], [ 4.3679e-07, 1.5367e-07, 2.6077e-07, ..., 1.1455e-07, 1.5739e-07, 1.2442e-06], ..., [ 5.7090e-07, 8.6613e-08, -7.7784e-06, ..., 4.4703e-08, 1.2731e-06, -8.6799e-06], [-4.4145e-07, -4.1164e-07, -5.1595e-07, ..., 2.0489e-08, 7.9162e-08, 5.2340e-07], [ 1.7323e-07, -8.8476e-08, 8.0243e-06, ..., 5.5879e-08, -2.3097e-07, 1.8358e-05]], device='cuda:0') Epoch 211, bias, value: tensor([ 0.0029, -0.0172, -0.0269, 0.0346, -0.0275, 0.0330, -0.0243, -0.0091, 0.0093, -0.0298], device='cuda:0'), grad: tensor([ 1.1884e-06, 4.0419e-07, 5.1744e-06, 1.0200e-05, 1.3281e-06, -6.1631e-05, 3.5651e-06, 4.2431e-06, 8.0559e-07, 3.4690e-05], device='cuda:0') 100 0.0001 changing lr epoch 210, time 215.25, cls_loss 0.0012 cls_loss_mapping 0.0023 cls_loss_causal 0.4927 re_mapping 0.0055 re_causal 0.0153 /// teacc 99.09 lr 0.00010000 Epoch 212, weight, value: tensor([[-0.1132, -0.1253, -0.0915, ..., -0.1411, -0.0110, 0.0768], [ 0.0605, 0.0609, 0.0462, ..., 0.1028, -0.1539, -0.0565], [ 0.0538, 0.0243, -0.1300, ..., -0.0351, -0.1888, -0.0744], ..., [-0.0486, -0.1160, 0.0876, ..., -0.1110, -0.0362, 0.0081], [ 0.0210, 0.0900, 0.1349, ..., -0.1190, -0.1162, -0.1876], [-0.1458, 0.0136, -0.2363, ..., -0.1141, -0.0975, 0.0937]], device='cuda:0'), grad: tensor([[ 1.8626e-08, 6.0536e-08, 1.3039e-08, ..., 7.3574e-08, 8.4750e-08, -2.7940e-09], [-1.4901e-07, -2.4214e-08, -1.8626e-09, ..., -2.6450e-07, 1.1548e-07, 1.7602e-07], [-8.4750e-08, 3.6322e-08, 5.0291e-08, ..., 5.8673e-08, 4.2841e-08, 4.2841e-08], ..., [ 2.7008e-08, 6.0536e-08, -5.4017e-07, ..., 6.3330e-08, -0.0000e+00, -3.5949e-07], [ 2.6077e-08, 4.5635e-08, 1.1176e-08, ..., 5.4017e-08, 9.2201e-08, 3.5390e-08], [ 3.3528e-08, -3.1851e-07, 2.6729e-07, ..., 8.6613e-08, 2.7008e-08, -3.3155e-07]], device='cuda:0') Epoch 212, bias, value: tensor([ 0.0032, -0.0172, -0.0271, 0.0353, -0.0275, 0.0322, -0.0242, -0.0090, 0.0098, -0.0302], device='cuda:0'), grad: tensor([ 2.1700e-07, 1.6950e-07, 5.0291e-08, 3.1758e-07, 1.5358e-06, 3.0827e-07, -1.5879e-06, -1.0943e-06, 2.6356e-07, -1.9372e-07], device='cuda:0') 100 0.0001 changing lr epoch 211, time 214.91, cls_loss 0.0014 cls_loss_mapping 0.0034 cls_loss_causal 0.5270 re_mapping 0.0049 re_causal 0.0155 /// teacc 98.97 lr 0.00010000 Epoch 213, weight, value: tensor([[-0.1135, -0.1255, -0.0916, ..., -0.1411, -0.0110, 0.0771], [ 0.0605, 0.0613, 0.0463, ..., 0.1036, -0.1538, -0.0566], [ 0.0547, 0.0247, -0.1301, ..., -0.0356, -0.1892, -0.0746], ..., [-0.0491, -0.1169, 0.0877, ..., -0.1113, -0.0350, 0.0085], [ 0.0209, 0.0905, 0.1355, ..., -0.1193, -0.1165, -0.1880], [-0.1461, 0.0157, -0.2376, ..., -0.1146, -0.0957, 0.0953]], device='cuda:0'), grad: tensor([[ 1.0803e-07, 1.1642e-07, 1.3970e-08, ..., 6.9849e-08, 1.8626e-07, -1.8906e-07], [ 4.9360e-08, -6.6124e-08, -1.4715e-07, ..., -1.4156e-07, 1.0431e-07, 6.4261e-08], [ 1.0002e-06, 2.9802e-08, 6.2864e-07, ..., 1.6764e-08, 2.5146e-08, 9.7416e-07], ..., [ 2.6636e-07, 6.7055e-08, -8.5030e-07, ..., 8.3819e-08, 2.7008e-08, -1.5143e-06], [ 1.8626e-09, 4.1723e-07, -1.9185e-07, ..., 4.9360e-08, 4.1462e-06, 6.1933e-07], [ 1.8440e-07, 2.8871e-08, 2.3376e-07, ..., 3.9116e-08, 5.4017e-08, 3.6974e-07]], device='cuda:0') Epoch 213, bias, value: tensor([ 0.0033, -0.0171, -0.0265, 0.0356, -0.0300, 0.0320, -0.0245, -0.0090, 0.0101, -0.0282], device='cuda:0'), grad: tensor([ 2.8498e-07, 3.8184e-07, 4.1015e-06, -1.2562e-05, 7.1712e-08, -1.4985e-06, 2.6710e-06, -2.5816e-06, 7.8827e-06, 1.2135e-06], device='cuda:0') 100 0.0001 changing lr epoch 212, time 214.93, cls_loss 0.0016 cls_loss_mapping 0.0035 cls_loss_causal 0.5342 re_mapping 0.0053 re_causal 0.0152 /// teacc 99.02 lr 0.00010000 Epoch 214, weight, value: tensor([[-0.1140, -0.1258, -0.0918, ..., -0.1412, -0.0109, 0.0786], [ 0.0607, 0.0611, 0.0465, ..., 0.1036, -0.1551, -0.0568], [ 0.0551, 0.0248, -0.1308, ..., -0.0372, -0.1921, -0.0749], ..., [-0.0494, -0.1177, 0.0878, ..., -0.1116, -0.0353, 0.0088], [ 0.0219, 0.0922, 0.1372, ..., -0.1198, -0.1159, -0.1885], [-0.1468, 0.0149, -0.2404, ..., -0.1167, -0.0969, 0.0943]], device='cuda:0'), grad: tensor([[ 2.0396e-07, 6.9849e-08, 5.4017e-08, ..., 4.1910e-08, 1.5739e-07, 6.6124e-08], [ 1.4799e-06, 3.5483e-07, 9.4995e-07, ..., -1.6950e-07, 2.8871e-08, 3.6415e-07], [-4.9211e-06, -1.3262e-06, -2.7232e-06, ..., 5.1223e-08, 4.0978e-08, -7.4413e-07], ..., [ 1.9763e-06, 5.8673e-07, -2.3749e-07, ..., 3.8184e-08, 2.0489e-08, 1.9465e-07], [ 7.3388e-07, 2.7567e-07, 4.1910e-07, ..., 7.8231e-08, 1.1921e-07, 1.3318e-07], [ 2.8405e-07, 8.1956e-08, 2.4959e-07, ..., 6.3330e-08, 4.7497e-08, 7.3574e-08]], device='cuda:0') Epoch 214, bias, value: tensor([ 0.0043, -0.0172, -0.0268, 0.0359, -0.0290, 0.0314, -0.0252, -0.0090, 0.0119, -0.0297], device='cuda:0'), grad: tensor([ 7.7486e-07, 5.3979e-06, -1.4707e-05, 3.6135e-07, 1.5616e-05, -2.8871e-07, -6.5099e-07, -1.0356e-05, 2.6170e-06, 1.1986e-06], device='cuda:0') 100 0.0001 changing lr epoch 213, time 215.26, cls_loss 0.0018 cls_loss_mapping 0.0041 cls_loss_causal 0.5341 re_mapping 0.0049 re_causal 0.0148 /// teacc 99.04 lr 0.00010000 Epoch 215, weight, value: tensor([[-0.1152, -0.1265, -0.0934, ..., -0.1413, -0.0120, 0.0780], [ 0.0612, 0.0613, 0.0466, ..., 0.1040, -0.1565, -0.0570], [ 0.0547, 0.0239, -0.1318, ..., -0.0382, -0.1926, -0.0752], ..., [-0.0498, -0.1180, 0.0879, ..., -0.1118, -0.0359, 0.0088], [ 0.0231, 0.0926, 0.1381, ..., -0.1204, -0.1175, -0.1897], [-0.1472, 0.0148, -0.2408, ..., -0.1173, -0.0975, 0.0945]], device='cuda:0'), grad: tensor([[ 7.2643e-08, 2.6077e-08, 1.5832e-08, ..., 1.4901e-08, -1.0896e-07, -9.6578e-07], [-9.3132e-10, -3.6322e-08, -1.5553e-07, ..., -1.1642e-07, 4.2841e-08, 4.1910e-08], [-9.7789e-08, 4.1910e-08, 3.5390e-08, ..., 3.7253e-08, 2.3283e-08, 2.6077e-08], ..., [ 1.0310e-06, 9.8720e-08, 1.7695e-07, ..., 9.3132e-08, 3.2596e-08, 8.8476e-08], [ 4.6287e-07, 7.9162e-08, 9.8720e-08, ..., 4.6566e-08, 9.4064e-08, 8.4750e-08], [ 2.6077e-07, 3.3915e-05, 8.4750e-08, ..., 2.5526e-05, 2.1711e-05, 7.8380e-06]], device='cuda:0') Epoch 215, bias, value: tensor([ 0.0035, -0.0171, -0.0275, 0.0353, -0.0290, 0.0318, -0.0246, -0.0087, 0.0127, -0.0299], device='cuda:0'), grad: tensor([-1.0421e-06, 5.5041e-07, -4.3679e-07, -9.9838e-06, -1.2946e-04, 3.9302e-06, 1.0086e-06, 3.9376e-06, 1.9372e-06, 1.2946e-04], device='cuda:0') 100 0.0001 changing lr epoch 214, time 214.93, cls_loss 0.0012 cls_loss_mapping 0.0019 cls_loss_causal 0.4790 re_mapping 0.0051 re_causal 0.0150 /// teacc 99.03 lr 0.00010000 Epoch 216, weight, value: tensor([[-0.1155, -0.1267, -0.0933, ..., -0.1414, -0.0119, 0.0785], [ 0.0601, 0.0608, 0.0456, ..., 0.1038, -0.1578, -0.0571], [ 0.0550, 0.0235, -0.1323, ..., -0.0385, -0.1929, -0.0756], ..., [-0.0485, -0.1171, 0.0889, ..., -0.1118, -0.0369, 0.0088], [ 0.0235, 0.0927, 0.1383, ..., -0.1211, -0.1181, -0.1907], [-0.1472, 0.0146, -0.2410, ..., -0.1179, -0.0981, 0.0946]], device='cuda:0'), grad: tensor([[ 2.7008e-08, 9.3132e-09, 1.3970e-08, ..., 7.4506e-09, 7.4506e-09, -9.3132e-10], [-6.1467e-08, -6.0536e-08, -1.0896e-07, ..., -6.5193e-08, 6.5193e-09, -1.3970e-08], [-7.4506e-09, 8.3819e-09, 2.7940e-08, ..., 2.2352e-08, 9.3132e-09, -1.8626e-08], ..., [ 5.3085e-08, 2.8871e-08, 1.8626e-08, ..., 3.5390e-08, 9.3132e-10, 1.7695e-08], [-2.9895e-07, -6.0536e-08, -3.5577e-07, ..., 1.1176e-08, 3.7253e-09, 1.1176e-08], [ 5.4017e-08, 2.9802e-08, 4.0978e-08, ..., 6.2399e-08, 2.1420e-08, -1.4901e-08]], device='cuda:0') Epoch 216, bias, value: tensor([ 0.0037, -0.0181, -0.0274, 0.0347, -0.0286, 0.0317, -0.0247, -0.0076, 0.0127, -0.0301], device='cuda:0'), grad: tensor([ 6.6124e-08, -1.0617e-07, 4.2841e-08, -9.3132e-10, -3.4831e-07, 4.3400e-07, 2.4121e-07, 5.9605e-08, -6.0070e-07, 2.2165e-07], device='cuda:0') 100 0.0001 changing lr epoch 215, time 215.17, cls_loss 0.0014 cls_loss_mapping 0.0035 cls_loss_causal 0.5162 re_mapping 0.0055 re_causal 0.0160 /// teacc 98.96 lr 0.00010000 Epoch 217, weight, value: tensor([[-0.1163, -0.1272, -0.0946, ..., -0.1420, -0.0120, 0.0786], [ 0.0604, 0.0606, 0.0453, ..., 0.1028, -0.1595, -0.0572], [ 0.0552, 0.0232, -0.1327, ..., -0.0398, -0.1940, -0.0759], ..., [-0.0486, -0.1173, 0.0895, ..., -0.1102, -0.0369, 0.0088], [ 0.0238, 0.0932, 0.1392, ..., -0.1211, -0.1183, -0.1912], [-0.1476, 0.0154, -0.2420, ..., -0.1175, -0.0977, 0.0956]], device='cuda:0'), grad: tensor([[ 1.0524e-07, 2.6263e-07, 1.3039e-08, ..., 7.4506e-09, 2.9095e-06, -3.0454e-06], [ 2.1700e-07, 3.3528e-08, 1.2266e-06, ..., 3.8184e-08, 6.6124e-08, 7.3016e-07], [-3.7868e-06, -4.4610e-07, 6.3330e-08, ..., 2.8871e-08, 2.0489e-08, 9.3132e-10], ..., [ 1.0962e-06, 1.0431e-07, -2.2650e-06, ..., 7.5437e-08, 2.0489e-08, -1.0710e-07], [ 1.5600e-06, 2.4587e-07, 9.3132e-09, ..., 2.7008e-08, 2.2445e-07, 4.7591e-07], [ 5.9605e-08, 1.8626e-07, 6.2585e-07, ..., 6.2678e-07, 3.0268e-07, 3.6787e-07]], device='cuda:0') Epoch 217, bias, value: tensor([ 0.0036, -0.0185, -0.0275, 0.0352, -0.0294, 0.0308, -0.0242, -0.0071, 0.0135, -0.0297], device='cuda:0'), grad: tensor([ 4.9248e-06, 3.5614e-06, -7.4394e-06, 1.5292e-06, -1.6456e-06, 3.0696e-06, -1.0401e-05, -1.1791e-06, 4.5635e-06, 3.0287e-06], device='cuda:0') 100 0.0001 changing lr epoch 216, time 214.82, cls_loss 0.0012 cls_loss_mapping 0.0023 cls_loss_causal 0.4455 re_mapping 0.0050 re_causal 0.0147 /// teacc 98.97 lr 0.00010000 Epoch 218, weight, value: tensor([[-0.1169, -0.1286, -0.0951, ..., -0.1422, -0.0137, 0.0762], [ 0.0600, 0.0609, 0.0457, ..., 0.1030, -0.1599, -0.0570], [ 0.0564, 0.0232, -0.1327, ..., -0.0400, -0.1943, -0.0761], ..., [-0.0491, -0.1176, 0.0894, ..., -0.1105, -0.0371, 0.0088], [ 0.0239, 0.0931, 0.1396, ..., -0.1213, -0.1188, -0.1921], [-0.1475, 0.0152, -0.2422, ..., -0.1196, -0.0986, 0.0969]], device='cuda:0'), grad: tensor([[ 1.2107e-08, 3.7160e-07, 1.4901e-08, ..., 1.5460e-07, 2.6543e-07, -3.1292e-07], [-4.4610e-07, -2.8964e-07, -3.4552e-07, ..., -5.2247e-07, 5.0291e-08, 1.8626e-08], [ 2.0117e-07, 4.8988e-07, 2.1514e-07, ..., 4.0978e-07, 2.4214e-07, 5.8673e-08], ..., [ 1.4249e-07, 9.5926e-08, 9.3132e-08, ..., 1.1083e-07, 3.7253e-09, 1.8626e-07], [-2.5053e-07, 7.5903e-07, -4.7870e-07, ..., 3.6601e-07, 6.4820e-07, 4.9360e-08], [ 2.1420e-08, 1.7695e-08, 1.9558e-08, ..., 5.7742e-08, 4.0978e-08, -1.9930e-07]], device='cuda:0') Epoch 218, bias, value: tensor([ 0.0016, -0.0185, -0.0267, 0.0354, -0.0289, 0.0304, -0.0230, -0.0074, 0.0134, -0.0296], device='cuda:0'), grad: tensor([ 3.4086e-07, -1.0962e-06, 1.3718e-06, 3.1665e-07, 3.7737e-06, 1.0654e-06, -7.3984e-06, 6.1281e-07, 1.1222e-06, -1.0710e-07], device='cuda:0') 100 0.0001 changing lr epoch 217, time 214.94, cls_loss 0.0013 cls_loss_mapping 0.0024 cls_loss_causal 0.5051 re_mapping 0.0050 re_causal 0.0148 /// teacc 98.95 lr 0.00010000 Epoch 219, weight, value: tensor([[-0.1171, -0.1288, -0.0951, ..., -0.1423, -0.0135, 0.0767], [ 0.0587, 0.0595, 0.0458, ..., 0.1022, -0.1611, -0.0570], [ 0.0578, 0.0235, -0.1337, ..., -0.0377, -0.1946, -0.0765], ..., [-0.0494, -0.1179, 0.0893, ..., -0.1109, -0.0376, 0.0084], [ 0.0250, 0.0944, 0.1406, ..., -0.1215, -0.1196, -0.1928], [-0.1475, 0.0158, -0.2422, ..., -0.1199, -0.0986, 0.0975]], device='cuda:0'), grad: tensor([[ 1.7695e-08, 5.7742e-08, 1.5832e-08, ..., 3.6322e-08, 6.6124e-08, 3.3528e-08], [ 4.0978e-08, 7.5903e-07, 1.1176e-08, ..., 5.0385e-07, 4.5076e-07, 1.6484e-07], [ 9.8720e-08, 3.1386e-07, 7.8231e-08, ..., 2.0862e-07, 1.8161e-07, 9.3132e-09], ..., [ 4.5635e-08, 1.6671e-07, 2.3283e-08, ..., 9.3132e-08, 1.7975e-07, 2.8033e-07], [-3.2224e-07, -1.3784e-07, -3.3248e-07, ..., 5.4948e-08, 1.3318e-07, 2.8126e-07], [ 1.3225e-07, -2.3656e-07, 9.9652e-08, ..., 1.8161e-07, 2.1048e-07, -7.4971e-07]], device='cuda:0') Epoch 219, bias, value: tensor([ 0.0019, -0.0192, -0.0260, 0.0354, -0.0294, 0.0304, -0.0231, -0.0077, 0.0142, -0.0292], device='cuda:0'), grad: tensor([ 2.2352e-07, 1.9912e-06, 8.2236e-07, -1.1269e-07, 3.3714e-07, -8.7451e-07, -2.2762e-06, 1.3923e-06, 3.0361e-07, -1.7975e-06], device='cuda:0') 100 0.0001 changing lr epoch 218, time 215.15, cls_loss 0.0014 cls_loss_mapping 0.0034 cls_loss_causal 0.4952 re_mapping 0.0051 re_causal 0.0150 /// teacc 99.01 lr 0.00010000 Epoch 220, weight, value: tensor([[-0.1173, -0.1292, -0.0952, ..., -0.1426, -0.0137, 0.0768], [ 0.0585, 0.0589, 0.0459, ..., 0.1019, -0.1628, -0.0574], [ 0.0585, 0.0237, -0.1342, ..., -0.0371, -0.1951, -0.0770], ..., [-0.0503, -0.1190, 0.0888, ..., -0.1112, -0.0388, 0.0065], [ 0.0254, 0.0946, 0.1413, ..., -0.1220, -0.1217, -0.1947], [-0.1473, 0.0159, -0.2418, ..., -0.1211, -0.0993, 0.0986]], device='cuda:0'), grad: tensor([[ 2.4214e-08, 3.8184e-08, 1.3039e-07, ..., 6.5193e-09, 3.7253e-08, 5.4017e-08], [-4.8801e-07, -2.4773e-07, -2.6822e-07, ..., -2.1979e-07, 2.7008e-08, 6.5193e-08], [ 1.2852e-07, 9.2201e-08, 6.1467e-07, ..., 5.2154e-08, 1.3039e-08, 1.6298e-07], ..., [ 2.7679e-06, 3.6377e-06, 2.9683e-04, ..., 6.7055e-08, 2.9802e-08, 9.7513e-05], [-3.9153e-06, -4.6752e-06, -3.4738e-04, ..., 2.2352e-08, -8.6613e-08, -1.1349e-04], [ 4.5355e-07, 6.3330e-07, 4.3690e-05, ..., 1.2573e-07, 2.2631e-07, 1.4350e-05]], device='cuda:0') Epoch 220, bias, value: tensor([ 0.0019, -0.0196, -0.0254, 0.0361, -0.0291, 0.0305, -0.0231, -0.0090, 0.0140, -0.0287], device='cuda:0'), grad: tensor([ 3.1386e-07, -6.6124e-07, 9.9372e-07, -1.2629e-06, 3.6322e-07, 5.6028e-06, 2.6673e-06, 3.8075e-04, -4.4584e-04, 5.6624e-05], device='cuda:0') 100 0.0001 changing lr epoch 219, time 215.35, cls_loss 0.0012 cls_loss_mapping 0.0023 cls_loss_causal 0.4735 re_mapping 0.0051 re_causal 0.0149 /// teacc 99.07 lr 0.00010000 Epoch 221, weight, value: tensor([[-0.1176, -0.1295, -0.0953, ..., -0.1429, -0.0140, 0.0766], [ 0.0597, 0.0590, 0.0468, ..., 0.1019, -0.1638, -0.0574], [ 0.0580, 0.0235, -0.1361, ..., -0.0369, -0.1959, -0.0789], ..., [-0.0519, -0.1197, 0.0878, ..., -0.1115, -0.0393, 0.0055], [ 0.0250, 0.0945, 0.1422, ..., -0.1226, -0.1224, -0.1946], [-0.1477, 0.0157, -0.2423, ..., -0.1217, -0.0997, 0.0993]], device='cuda:0'), grad: tensor([[ 4.8243e-07, 2.0489e-08, 4.3772e-08, ..., 9.3132e-09, 1.5367e-06, 1.9064e-06], [-1.2107e-08, -5.8673e-08, -2.3562e-07, ..., -1.4249e-07, 2.3283e-08, 7.2643e-08], [-7.5214e-06, 1.3039e-08, 8.4750e-08, ..., 9.3132e-09, 3.8184e-08, 5.0291e-08], ..., [ 7.0315e-07, 1.2014e-07, -7.2923e-07, ..., 9.0338e-08, 2.9802e-08, 1.0664e-06], [ 1.7798e-06, 4.0419e-07, 5.4296e-07, ..., 2.3283e-08, 6.5193e-08, 1.2144e-06], [ 2.5984e-07, -2.0713e-06, -2.6096e-06, ..., 3.4459e-08, 2.2072e-07, -8.1584e-06]], device='cuda:0') Epoch 221, bias, value: tensor([ 0.0016, -0.0189, -0.0264, 0.0361, -0.0289, 0.0315, -0.0230, -0.0102, 0.0139, -0.0286], device='cuda:0'), grad: tensor([ 5.2750e-06, 4.7125e-07, -3.1590e-05, 1.6734e-05, 1.3590e-05, -2.8051e-06, 8.5495e-07, 2.6673e-06, 9.7156e-06, -1.4916e-05], device='cuda:0') 100 0.0001 changing lr epoch 220, time 214.63, cls_loss 0.0017 cls_loss_mapping 0.0023 cls_loss_causal 0.4931 re_mapping 0.0049 re_causal 0.0145 /// teacc 99.00 lr 0.00010000 Epoch 222, weight, value: tensor([[-0.1181, -0.1299, -0.0954, ..., -0.1430, -0.0135, 0.0771], [ 0.0627, 0.0587, 0.0471, ..., 0.1019, -0.1645, -0.0570], [ 0.0535, 0.0234, -0.1390, ..., -0.0368, -0.1968, -0.0824], ..., [-0.0497, -0.1199, 0.0885, ..., -0.1113, -0.0382, 0.0059], [ 0.0246, 0.0934, 0.1420, ..., -0.1229, -0.1231, -0.1983], [-0.1477, 0.0164, -0.2423, ..., -0.1222, -0.1004, 0.1004]], device='cuda:0'), grad: tensor([[ 1.3039e-08, 3.2410e-07, 1.8626e-09, ..., 1.8626e-09, 1.0617e-06, 2.8498e-07], [-3.0734e-08, -1.5832e-08, -4.3772e-08, ..., -2.5146e-08, 9.0338e-08, 1.3970e-07], [-1.5832e-08, 6.5193e-09, 9.3132e-09, ..., 5.5879e-09, 1.6764e-08, 1.6764e-08], ..., [ 8.6613e-08, 3.1665e-08, -7.1712e-08, ..., 3.0734e-08, 3.7253e-08, -5.5879e-08], [ 2.8871e-08, 2.7940e-08, -1.8626e-09, ..., 6.5193e-09, 1.6298e-07, 1.1083e-07], [ 6.7055e-08, 2.7288e-07, 8.0094e-08, ..., 2.2445e-07, 2.8219e-07, 1.4715e-07]], device='cuda:0') Epoch 222, bias, value: tensor([ 0.0019, -0.0164, -0.0318, 0.0358, -0.0289, 0.0314, -0.0232, -0.0076, 0.0125, -0.0281], device='cuda:0'), grad: tensor([ 1.6866e-06, 2.3935e-07, 7.4506e-09, 2.2799e-05, -8.1863e-07, -2.3574e-05, -1.9819e-06, -1.6764e-08, 3.6974e-07, 1.2731e-06], device='cuda:0') 100 0.0001 changing lr epoch 221, time 214.82, cls_loss 0.0010 cls_loss_mapping 0.0023 cls_loss_causal 0.4803 re_mapping 0.0049 re_causal 0.0147 /// teacc 99.07 lr 0.00010000 Epoch 223, weight, value: tensor([[-0.1186, -0.1304, -0.0957, ..., -0.1432, -0.0136, 0.0772], [ 0.0628, 0.0586, 0.0472, ..., 0.1018, -0.1659, -0.0573], [ 0.0535, 0.0232, -0.1395, ..., -0.0371, -0.1977, -0.0826], ..., [-0.0498, -0.1203, 0.0885, ..., -0.1117, -0.0388, 0.0059], [ 0.0246, 0.0935, 0.1424, ..., -0.1231, -0.1232, -0.1986], [-0.1478, 0.0168, -0.2423, ..., -0.1227, -0.1006, 0.1009]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 3.9116e-08, 1.0245e-08, ..., 8.3819e-09, -2.0582e-07, -7.7859e-07], [ 1.1176e-08, 2.7381e-07, 1.1828e-07, ..., 9.2201e-08, 2.3097e-07, 6.7055e-08], [ 8.3819e-09, 1.7695e-08, 1.0245e-08, ..., 4.6566e-09, 2.0489e-08, 2.1420e-08], ..., [ 8.3819e-09, 1.2107e-08, -1.9558e-08, ..., 6.5193e-09, 2.5146e-08, 3.6322e-08], [-1.8626e-08, -2.1514e-07, -4.2189e-07, ..., 1.2014e-07, 3.6974e-07, 1.4994e-07], [ 1.2107e-08, -2.7940e-09, 4.0978e-08, ..., 8.8476e-08, 7.8045e-07, 1.0766e-06]], device='cuda:0') Epoch 223, bias, value: tensor([ 0.0017, -0.0164, -0.0319, 0.0358, -0.0292, 0.0316, -0.0232, -0.0075, 0.0126, -0.0277], device='cuda:0'), grad: tensor([-8.9500e-07, 7.8510e-07, 1.0338e-07, 5.1316e-07, 2.9244e-07, -5.2713e-07, -2.0675e-06, 8.0094e-08, -1.8161e-07, 1.8831e-06], device='cuda:0') 100 0.0001 changing lr epoch 222, time 215.17, cls_loss 0.0012 cls_loss_mapping 0.0020 cls_loss_causal 0.4843 re_mapping 0.0047 re_causal 0.0138 /// teacc 99.12 lr 0.00010000 Epoch 224, weight, value: tensor([[-0.1190, -0.1309, -0.0960, ..., -0.1434, -0.0137, 0.0773], [ 0.0627, 0.0579, 0.0468, ..., 0.1007, -0.1673, -0.0574], [ 0.0536, 0.0229, -0.1397, ..., -0.0370, -0.1982, -0.0828], ..., [-0.0497, -0.1205, 0.0890, ..., -0.1121, -0.0394, 0.0060], [ 0.0246, 0.0935, 0.1425, ..., -0.1235, -0.1237, -0.1989], [-0.1481, 0.0174, -0.2428, ..., -0.1233, -0.1009, 0.1015]], device='cuda:0'), grad: tensor([[ 3.1851e-07, 5.4017e-08, 6.0536e-08, ..., 1.2107e-08, -5.5879e-09, -1.4063e-07], [-5.5768e-06, -1.1995e-06, -9.1568e-06, ..., -1.1176e-08, 4.0885e-07, -2.8275e-06], [-1.2033e-05, 4.1910e-08, 8.4750e-08, ..., 1.3039e-08, 1.5832e-08, -4.8894e-07], ..., [ 2.1644e-06, 6.0257e-07, 3.4068e-06, ..., 4.0047e-08, 8.3819e-09, 1.1157e-06], [ 1.4566e-06, 6.0350e-07, 1.4855e-06, ..., 6.7055e-08, 2.8126e-07, 9.3505e-07], [ 1.9781e-06, -2.0489e-08, 3.0231e-06, ..., 7.3574e-08, 7.0781e-08, -6.5193e-08]], device='cuda:0') Epoch 224, bias, value: tensor([ 0.0016, -0.0167, -0.0319, 0.0365, -0.0296, 0.0311, -0.0230, -0.0072, 0.0125, -0.0272], device='cuda:0'), grad: tensor([ 5.6531e-07, -1.2614e-05, -2.3335e-05, 2.2247e-05, 1.6056e-06, 2.9616e-06, -4.1761e-06, 5.8152e-06, 4.2692e-06, 2.6003e-06], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 223---------------------------------------------------- epoch 223, time 231.54, cls_loss 0.0014 cls_loss_mapping 0.0029 cls_loss_causal 0.5027 re_mapping 0.0048 re_causal 0.0145 /// teacc 99.13 lr 0.00010000 Epoch 225, weight, value: tensor([[-0.1195, -0.1311, -0.0963, ..., -0.1435, -0.0136, 0.0775], [ 0.0627, 0.0569, 0.0469, ..., 0.1006, -0.1678, -0.0575], [ 0.0536, 0.0240, -0.1401, ..., -0.0363, -0.1984, -0.0824], ..., [-0.0499, -0.1211, 0.0887, ..., -0.1124, -0.0395, 0.0055], [ 0.0257, 0.0949, 0.1435, ..., -0.1238, -0.1239, -0.1988], [-0.1486, 0.0174, -0.2434, ..., -0.1238, -0.1013, 0.1017]], device='cuda:0'), grad: tensor([[ 1.5832e-08, 6.5193e-09, 3.7253e-09, ..., 8.3819e-09, -1.0906e-06, -3.5185e-06], [ 1.8626e-08, 2.3842e-07, 2.2165e-07, ..., 4.3027e-07, 1.0990e-07, 7.9162e-08], [-1.6857e-07, 5.6811e-07, 3.7253e-08, ..., 1.2433e-06, 2.9597e-06, 9.2201e-08], ..., [ 6.6124e-08, 1.8068e-07, 9.8720e-08, ..., 3.2596e-07, 7.0781e-08, 7.9162e-08], [ 1.3132e-07, 2.2352e-08, 1.3970e-08, ..., 7.2643e-08, 3.0734e-08, 6.9849e-08], [ 4.1910e-08, 1.2945e-07, 1.4063e-07, ..., 2.3562e-07, 1.2852e-07, -8.0187e-07]], device='cuda:0') Epoch 225, bias, value: tensor([ 0.0017, -0.0168, -0.0318, 0.0371, -0.0295, 0.0305, -0.0236, -0.0076, 0.0136, -0.0272], device='cuda:0'), grad: tensor([-5.5656e-06, 1.1986e-06, 4.7237e-06, -5.8860e-07, -6.7130e-06, -8.6240e-07, 6.6720e-06, 8.9128e-07, 5.8673e-07, -3.4738e-07], device='cuda:0') 100 0.0001 changing lr epoch 224, time 214.87, cls_loss 0.0014 cls_loss_mapping 0.0022 cls_loss_causal 0.4935 re_mapping 0.0048 re_causal 0.0144 /// teacc 99.11 lr 0.00010000 Epoch 226, weight, value: tensor([[-0.1201, -0.1316, -0.0967, ..., -0.1436, -0.0126, 0.0798], [ 0.0627, 0.0566, 0.0472, ..., 0.1011, -0.1683, -0.0576], [ 0.0536, 0.0244, -0.1405, ..., -0.0362, -0.1990, -0.0822], ..., [-0.0502, -0.1216, 0.0886, ..., -0.1127, -0.0392, 0.0054], [ 0.0252, 0.0955, 0.1441, ..., -0.1240, -0.1243, -0.1991], [-0.1489, 0.0175, -0.2440, ..., -0.1240, -0.1032, 0.1000]], device='cuda:0'), grad: tensor([[ 5.2154e-08, 9.1270e-08, 1.0524e-07, ..., 4.7497e-08, 8.3819e-09, 7.4506e-08], [-1.5780e-05, -2.6554e-05, -3.2067e-05, ..., -1.3962e-05, 4.6566e-09, -2.2694e-05], [ 5.8673e-08, 9.8720e-08, 1.2014e-07, ..., 5.3085e-08, 9.3132e-10, 8.4750e-08], ..., [ 3.1833e-06, 5.3570e-06, 6.3889e-06, ..., 2.8182e-06, 6.5193e-09, 4.5411e-06], [ 7.0594e-07, 1.2526e-06, 1.4463e-06, ..., 6.5658e-07, 1.7602e-07, 1.1120e-06], [ 1.0952e-05, 1.8448e-05, 2.2322e-05, ..., 9.7081e-06, 1.1176e-08, 1.5795e-05]], device='cuda:0') Epoch 226, bias, value: tensor([ 0.0032, -0.0168, -0.0318, 0.0376, -0.0295, 0.0305, -0.0239, -0.0077, 0.0136, -0.0283], device='cuda:0'), grad: tensor([ 2.6543e-07, -7.6532e-05, 2.8964e-07, 3.1106e-07, 3.3639e-06, -3.5651e-06, 3.4906e-06, 1.5289e-05, 3.8091e-06, 5.3287e-05], device='cuda:0') 100 0.0001 changing lr epoch 225, time 215.06, cls_loss 0.0015 cls_loss_mapping 0.0032 cls_loss_causal 0.5292 re_mapping 0.0045 re_causal 0.0146 /// teacc 98.97 lr 0.00010000 Epoch 227, weight, value: tensor([[-0.1203, -0.1320, -0.0969, ..., -0.1437, -0.0131, 0.0794], [ 0.0631, 0.0585, 0.0477, ..., 0.1026, -0.1664, -0.0566], [ 0.0535, 0.0220, -0.1417, ..., -0.0383, -0.2020, -0.0837], ..., [-0.0505, -0.1224, 0.0885, ..., -0.1130, -0.0396, 0.0042], [ 0.0250, 0.0957, 0.1445, ..., -0.1247, -0.1248, -0.1999], [-0.1493, 0.0180, -0.2445, ..., -0.1244, -0.1028, 0.1013]], device='cuda:0'), grad: tensor([[ 2.4214e-08, 1.2293e-07, 5.3085e-08, ..., 7.4506e-09, -2.3358e-06, -3.9712e-06], [-2.4494e-07, -5.5879e-09, -2.6543e-07, ..., -2.1793e-07, 1.2573e-07, 2.6263e-07], [ 6.7987e-08, 4.0978e-08, 4.9360e-08, ..., 1.4901e-08, 4.4703e-08, 7.6368e-08], ..., [ 1.0431e-07, 3.8184e-08, -3.5670e-07, ..., 4.9360e-08, 1.2480e-07, -1.7602e-07], [-6.1560e-07, -2.2743e-06, -1.7025e-06, ..., 5.6811e-08, 5.1316e-07, 2.8219e-07], [ 8.1677e-07, 2.1346e-06, 1.8496e-06, ..., 1.5832e-08, 1.2107e-07, 8.5495e-07]], device='cuda:0') Epoch 227, bias, value: tensor([ 0.0029, -0.0162, -0.0321, 0.0376, -0.0301, 0.0298, -0.0227, -0.0083, 0.0133, -0.0277], device='cuda:0'), grad: tensor([-8.2329e-06, -1.5832e-07, 5.3644e-07, -1.6168e-05, 3.9302e-07, 1.9833e-05, -6.5193e-08, -5.4017e-08, -2.8200e-06, 6.7651e-06], device='cuda:0') 100 0.0001 changing lr epoch 226, time 215.12, cls_loss 0.0019 cls_loss_mapping 0.0041 cls_loss_causal 0.5330 re_mapping 0.0050 re_causal 0.0148 /// teacc 99.04 lr 0.00010000 Epoch 228, weight, value: tensor([[-0.1205, -0.1323, -0.0970, ..., -0.1439, -0.0130, 0.0797], [ 0.0628, 0.0575, 0.0474, ..., 0.1007, -0.1696, -0.0556], [ 0.0537, 0.0220, -0.1413, ..., -0.0386, -0.2023, -0.0834], ..., [-0.0503, -0.1231, 0.0890, ..., -0.1134, -0.0401, 0.0023], [ 0.0251, 0.0960, 0.1451, ..., -0.1254, -0.1275, -0.2012], [-0.1497, 0.0172, -0.2451, ..., -0.1257, -0.1040, 0.1011]], device='cuda:0'), grad: tensor([[ 4.9267e-07, 6.8918e-08, 5.7742e-08, ..., 6.6124e-08, 3.4459e-08, 1.7509e-07], [ 2.7940e-08, 1.8030e-06, 1.7341e-06, ..., 2.2370e-06, 7.0967e-07, 1.2899e-06], [-1.6009e-06, 1.2945e-07, 4.3679e-07, ..., 1.4901e-07, 5.0291e-08, 6.6683e-07], ..., [ 2.8685e-07, 1.6950e-07, -4.1239e-06, ..., 2.0210e-07, -3.1665e-08, -8.4192e-06], [ 3.2410e-07, 4.9639e-07, 2.1048e-07, ..., 7.3481e-07, 2.6822e-07, 2.1420e-07], [ 5.6811e-08, 8.3540e-07, 2.8666e-06, ..., 1.2880e-06, 4.5728e-07, 4.8168e-06]], device='cuda:0') Epoch 228, bias, value: tensor([ 0.0031, -0.0174, -0.0310, 0.0362, -0.0289, 0.0262, -0.0182, -0.0095, 0.0127, -0.0288], device='cuda:0'), grad: tensor([ 2.6915e-06, 9.3356e-06, -4.5374e-06, 1.0747e-06, -1.3441e-05, 2.0042e-06, 3.6750e-06, -1.9357e-05, 3.6564e-06, 1.4856e-05], device='cuda:0') 100 0.0001 changing lr epoch 227, time 215.08, cls_loss 0.0016 cls_loss_mapping 0.0025 cls_loss_causal 0.4976 re_mapping 0.0050 re_causal 0.0140 /// teacc 99.02 lr 0.00010000 Epoch 229, weight, value: tensor([[-0.1211, -0.1326, -0.0972, ..., -0.1439, -0.0124, 0.0796], [ 0.0628, 0.0577, 0.0476, ..., 0.1011, -0.1699, -0.0558], [ 0.0541, 0.0220, -0.1408, ..., -0.0387, -0.2027, -0.0830], ..., [-0.0507, -0.1248, 0.0887, ..., -0.1147, -0.0411, 0.0018], [ 0.0253, 0.0967, 0.1457, ..., -0.1257, -0.1278, -0.2021], [-0.1504, 0.0172, -0.2453, ..., -0.1267, -0.1045, 0.1025]], device='cuda:0'), grad: tensor([[ 4.4703e-08, 9.0245e-07, 8.6613e-08, ..., 1.8440e-07, 7.3649e-06, 4.4927e-06], [-7.1712e-08, 3.5856e-07, -1.3784e-07, ..., 2.5798e-07, 6.9756e-07, 2.6170e-07], [-1.2312e-06, 1.1865e-06, 1.2480e-07, ..., 3.7253e-07, 1.0198e-06, 4.3772e-08], ..., [ 1.0803e-07, 8.2701e-07, 4.0978e-08, ..., 4.5914e-07, 1.3532e-06, 5.8021e-07], [ 8.6613e-08, -7.4029e-05, -6.6496e-06, ..., 3.1944e-07, -4.3541e-05, 6.0126e-06], [ 5.9605e-08, 8.5980e-06, 1.7975e-07, ..., 1.0863e-05, 1.0170e-05, -2.8685e-07]], device='cuda:0') Epoch 229, bias, value: tensor([ 0.0030, -0.0174, -0.0301, 0.0358, -0.0289, 0.0265, -0.0186, -0.0105, 0.0128, -0.0284], device='cuda:0'), grad: tensor([ 1.8701e-05, 3.0976e-06, 2.3767e-06, 2.7224e-05, -7.2539e-05, 9.9540e-06, 1.5903e-04, 6.1281e-06, -2.2149e-04, 6.7651e-05], device='cuda:0') 100 0.0001 changing lr epoch 228, time 214.88, cls_loss 0.0015 cls_loss_mapping 0.0034 cls_loss_causal 0.5013 re_mapping 0.0051 re_causal 0.0142 /// teacc 99.07 lr 0.00010000 Epoch 230, weight, value: tensor([[-0.1218, -0.1331, -0.0978, ..., -0.1442, -0.0124, 0.0797], [ 0.0627, 0.0577, 0.0476, ..., 0.1015, -0.1700, -0.0564], [ 0.0539, 0.0219, -0.1419, ..., -0.0392, -0.2031, -0.0835], ..., [-0.0497, -0.1253, 0.0895, ..., -0.1151, -0.0417, 0.0029], [ 0.0254, 0.0974, 0.1464, ..., -0.1262, -0.1276, -0.2034], [-0.1506, 0.0173, -0.2477, ..., -0.1272, -0.1047, 0.1026]], device='cuda:0'), grad: tensor([[ 4.6566e-09, 2.4214e-08, 3.7253e-09, ..., 4.6566e-09, -1.2107e-08, -1.4529e-07], [-7.7300e-08, -3.3528e-08, -9.8720e-08, ..., -3.6322e-08, 1.7695e-08, 5.6811e-08], [-2.3581e-06, 1.7695e-08, -8.7637e-07, ..., 6.5193e-09, 1.3039e-08, 4.1910e-08], ..., [ 9.7789e-08, 4.8429e-08, -2.6077e-08, ..., 1.6764e-08, 1.5832e-08, 1.8226e-06], [ 2.2575e-06, 1.5274e-07, 8.7358e-07, ..., 2.9802e-08, 1.4808e-07, 2.5705e-07], [ 1.3970e-08, -3.5670e-07, 4.2841e-08, ..., 4.6566e-09, 8.0094e-08, -2.4810e-06]], device='cuda:0') Epoch 230, bias, value: tensor([ 0.0029, -0.0177, -0.0306, 0.0352, -0.0290, 0.0268, -0.0188, -0.0091, 0.0135, -0.0285], device='cuda:0'), grad: tensor([-2.1327e-07, -7.4506e-09, -3.8035e-06, 3.9861e-07, 6.7893e-07, -4.3120e-07, -6.6124e-08, 3.2037e-06, 4.4294e-06, -4.1723e-06], device='cuda:0') 100 0.0001 changing lr epoch 229, time 215.06, cls_loss 0.0014 cls_loss_mapping 0.0025 cls_loss_causal 0.4926 re_mapping 0.0048 re_causal 0.0144 /// teacc 99.02 lr 0.00010000 Epoch 231, weight, value: tensor([[-0.1219, -0.1340, -0.0979, ..., -0.1445, -0.0126, 0.0798], [ 0.0623, 0.0571, 0.0471, ..., 0.1015, -0.1702, -0.0568], [ 0.0545, 0.0228, -0.1421, ..., -0.0392, -0.2034, -0.0830], ..., [-0.0497, -0.1260, 0.0904, ..., -0.1154, -0.0419, 0.0034], [ 0.0256, 0.0973, 0.1469, ..., -0.1269, -0.1284, -0.2040], [-0.1508, 0.0175, -0.2498, ..., -0.1274, -0.1047, 0.1028]], device='cuda:0'), grad: tensor([[ 6.5193e-09, 3.2596e-08, 1.8626e-09, ..., 1.3970e-08, 2.8405e-08, -2.5006e-07], [-3.2596e-08, 1.2061e-07, -7.1246e-08, ..., -2.4214e-08, 2.0862e-07, 2.7008e-08], [ 9.3132e-10, 6.5193e-09, 9.7789e-09, ..., 3.3993e-08, 9.0804e-08, 3.5390e-08], ..., [ 8.1956e-08, 2.7474e-08, 5.7742e-08, ..., 4.8894e-08, 2.2259e-07, 2.4214e-08], [-1.9092e-08, 1.7043e-07, -1.4435e-07, ..., 1.7695e-08, 5.9465e-07, 4.3027e-07], [ 3.7253e-08, 2.7474e-08, 6.8452e-08, ..., 3.5390e-08, 1.0496e-06, 6.2678e-07]], device='cuda:0') Epoch 231, bias, value: tensor([ 0.0028, -0.0184, -0.0301, 0.0359, -0.0291, 0.0266, -0.0188, -0.0088, 0.0135, -0.0287], device='cuda:0'), grad: tensor([-3.6834e-07, 5.3644e-07, 4.0093e-07, 7.5903e-08, -3.6806e-06, -1.2880e-06, -2.2762e-06, 1.0189e-06, 1.6689e-06, 3.9153e-06], device='cuda:0') 100 0.0001 changing lr epoch 230, time 215.08, cls_loss 0.0018 cls_loss_mapping 0.0023 cls_loss_causal 0.4869 re_mapping 0.0045 re_causal 0.0133 /// teacc 99.11 lr 0.00010000 Epoch 232, weight, value: tensor([[-0.1224, -0.1344, -0.0982, ..., -0.1447, -0.0138, 0.0777], [ 0.0627, 0.0576, 0.0498, ..., 0.1016, -0.1704, -0.0546], [ 0.0552, 0.0236, -0.1424, ..., -0.0394, -0.2036, -0.0825], ..., [-0.0518, -0.1290, 0.0877, ..., -0.1168, -0.0447, 0.0009], [ 0.0252, 0.0967, 0.1470, ..., -0.1271, -0.1321, -0.2058], [-0.1532, 0.0178, -0.2504, ..., -0.1272, -0.1035, 0.1050]], device='cuda:0'), grad: tensor([[ 1.1642e-08, 1.8626e-09, 1.8626e-09, ..., 1.3970e-09, -1.2945e-06, -4.6268e-06], [-6.6124e-08, -4.2841e-08, -8.5216e-08, ..., -5.2154e-08, 4.2375e-08, 1.4482e-07], [-9.3132e-10, 2.0489e-08, 5.2620e-08, ..., 2.4214e-08, 1.4808e-07, 5.1595e-07], ..., [ 6.7987e-08, 2.2817e-08, -1.8626e-09, ..., 3.9581e-08, 1.8999e-07, 6.2818e-07], [ 1.4529e-07, 3.5856e-08, 4.1910e-08, ..., 6.2399e-08, 1.2666e-07, 3.7951e-07], [ 5.6345e-08, 2.4680e-08, 2.0023e-08, ..., 9.0338e-08, 1.1455e-07, 3.1013e-07]], device='cuda:0') Epoch 232, bias, value: tensor([ 0.0005, -0.0170, -0.0296, 0.0368, -0.0297, 0.0273, -0.0191, -0.0113, 0.0112, -0.0269], device='cuda:0'), grad: tensor([-9.6336e-06, 2.0675e-07, 1.1213e-06, -9.7323e-08, -4.0652e-07, 1.6103e-06, 3.4980e-06, 1.4864e-06, 1.2470e-06, 9.6858e-07], device='cuda:0') 100 0.0001 changing lr epoch 231, time 214.55, cls_loss 0.0014 cls_loss_mapping 0.0021 cls_loss_causal 0.5008 re_mapping 0.0048 re_causal 0.0142 /// teacc 99.12 lr 0.00010000 Epoch 233, weight, value: tensor([[-0.1231, -0.1349, -0.0984, ..., -0.1450, -0.0138, 0.0778], [ 0.0627, 0.0563, 0.0497, ..., 0.1007, -0.1712, -0.0548], [ 0.0551, 0.0234, -0.1429, ..., -0.0397, -0.2043, -0.0825], ..., [-0.0518, -0.1291, 0.0879, ..., -0.1169, -0.0451, 0.0011], [ 0.0253, 0.0963, 0.1476, ..., -0.1276, -0.1345, -0.2068], [-0.1537, 0.0179, -0.2510, ..., -0.1273, -0.1036, 0.1052]], device='cuda:0'), grad: tensor([[ 6.5193e-09, 9.1735e-08, 7.9162e-09, ..., 9.3132e-09, 3.2131e-08, 4.4052e-07], [-9.2201e-08, 7.8697e-08, -1.2480e-07, ..., -1.8161e-08, 1.0384e-07, 3.7253e-09], [ 1.6764e-08, 6.1002e-08, 6.0536e-08, ..., 1.3504e-08, 2.0023e-08, 8.4285e-08], ..., [ 5.7742e-08, 3.3062e-08, -2.9663e-07, ..., 1.7229e-08, 2.3283e-09, 2.2817e-08], [-3.4552e-06, -2.8461e-06, -4.7199e-06, ..., 6.9849e-08, 2.2957e-07, -2.9709e-07], [ 3.3546e-06, 2.9858e-06, 4.6864e-06, ..., 2.2817e-08, 4.0978e-08, -2.5192e-07]], device='cuda:0') Epoch 233, bias, value: tensor([ 0.0005, -0.0175, -0.0298, 0.0369, -0.0301, 0.0272, -0.0186, -0.0111, 0.0106, -0.0268], device='cuda:0'), grad: tensor([ 6.3190e-07, 2.3330e-07, 2.4727e-07, 1.0245e-06, 5.8720e-07, -9.2061e-07, -1.4314e-06, -6.1234e-07, -9.4920e-06, 9.7305e-06], device='cuda:0') 100 0.0001 changing lr epoch 232, time 214.60, cls_loss 0.0010 cls_loss_mapping 0.0029 cls_loss_causal 0.4767 re_mapping 0.0048 re_causal 0.0144 /// teacc 99.07 lr 0.00010000 Epoch 234, weight, value: tensor([[-0.1233, -0.1367, -0.0985, ..., -0.1451, -0.0147, 0.0773], [ 0.0629, 0.0566, 0.0499, ..., 0.1008, -0.1713, -0.0547], [ 0.0549, 0.0228, -0.1440, ..., -0.0400, -0.2044, -0.0826], ..., [-0.0521, -0.1294, 0.0875, ..., -0.1171, -0.0454, 0.0009], [ 0.0253, 0.0962, 0.1493, ..., -0.1277, -0.1353, -0.2073], [-0.1541, 0.0177, -0.2513, ..., -0.1279, -0.1039, 0.1055]], device='cuda:0'), grad: tensor([[ 6.5193e-09, -3.0361e-07, 2.0489e-08, ..., 1.8626e-09, -2.5257e-06, -5.1931e-06], [ 2.1886e-07, 1.1735e-07, 2.1402e-06, ..., -1.9558e-08, 1.6764e-08, 6.7148e-07], [ 2.9150e-07, 2.1979e-07, 2.8852e-06, ..., 7.4506e-09, 1.2107e-08, 8.5123e-07], ..., [-6.9812e-06, -3.9116e-06, -6.1154e-05, ..., 7.4506e-09, 4.0978e-08, -1.8045e-05], [ 3.3583e-06, 1.7118e-06, 3.0696e-05, ..., -3.9116e-08, 1.2014e-07, 9.4324e-06], [ 2.7698e-06, 1.5432e-06, 2.3887e-05, ..., 6.5193e-09, 2.9895e-07, 7.4208e-06]], device='cuda:0') Epoch 234, bias, value: tensor([-0.0002, -0.0173, -0.0299, 0.0370, -0.0299, 0.0274, -0.0186, -0.0116, 0.0110, -0.0268], device='cuda:0'), grad: tensor([-8.4117e-06, 2.9374e-06, 3.8557e-06, 9.1083e-07, 1.8766e-06, -1.6661e-06, 8.6054e-06, -8.2493e-05, 4.1425e-05, 3.3021e-05], device='cuda:0') 100 0.0001 changing lr epoch 233, time 214.95, cls_loss 0.0013 cls_loss_mapping 0.0023 cls_loss_causal 0.4994 re_mapping 0.0050 re_causal 0.0145 /// teacc 99.05 lr 0.00010000 Epoch 235, weight, value: tensor([[-0.1237, -0.1371, -0.0989, ..., -0.1455, -0.0148, 0.0772], [ 0.0637, 0.0565, 0.0498, ..., 0.1009, -0.1714, -0.0550], [ 0.0543, 0.0229, -0.1457, ..., -0.0403, -0.2047, -0.0833], ..., [-0.0522, -0.1296, 0.0877, ..., -0.1174, -0.0457, 0.0012], [ 0.0247, 0.0952, 0.1491, ..., -0.1284, -0.1365, -0.2083], [-0.1542, 0.0178, -0.2513, ..., -0.1285, -0.1040, 0.1058]], device='cuda:0'), grad: tensor([[-4.5635e-08, 3.3528e-08, 1.4901e-08, ..., 2.6077e-08, -3.5949e-07, -1.5208e-06], [-4.6566e-08, 1.7695e-08, 1.7509e-06, ..., -7.4506e-09, 1.8254e-07, 1.0338e-06], [ 2.2352e-08, 8.6613e-08, 1.6484e-07, ..., 6.7987e-08, 8.2888e-08, 1.6391e-07], ..., [ 1.4156e-07, 1.5832e-08, -9.7379e-06, ..., 1.8626e-08, 9.3132e-09, -4.8913e-06], [ 6.4820e-07, 4.1910e-08, 1.2442e-06, ..., 4.8429e-08, 9.4343e-07, 1.5786e-06], [ 3.2596e-08, 2.2259e-07, 7.0967e-06, ..., 2.3097e-07, 9.2201e-08, 3.6061e-06]], device='cuda:0') Epoch 235, bias, value: tensor([-0.0004, -0.0168, -0.0306, 0.0372, -0.0295, 0.0275, -0.0186, -0.0115, 0.0099, -0.0267], device='cuda:0'), grad: tensor([-2.7716e-06, 3.7923e-06, 7.4226e-07, -4.1053e-06, -3.5577e-07, -5.1968e-06, 3.7141e-06, -1.6481e-05, 7.5176e-06, 1.3165e-05], device='cuda:0') 100 0.0001 changing lr epoch 234, time 214.95, cls_loss 0.0012 cls_loss_mapping 0.0021 cls_loss_causal 0.4940 re_mapping 0.0045 re_causal 0.0141 /// teacc 99.04 lr 0.00010000 Epoch 236, weight, value: tensor([[-0.1229, -0.1394, -0.0983, ..., -0.1480, -0.0160, 0.0773], [ 0.0639, 0.0565, 0.0499, ..., 0.1008, -0.1715, -0.0551], [ 0.0543, 0.0227, -0.1471, ..., -0.0409, -0.2053, -0.0835], ..., [-0.0527, -0.1299, 0.0878, ..., -0.1177, -0.0461, 0.0012], [ 0.0251, 0.0954, 0.1497, ..., -0.1277, -0.1368, -0.2089], [-0.1543, 0.0177, -0.2520, ..., -0.1292, -0.1045, 0.1060]], device='cuda:0'), grad: tensor([[ 6.7055e-08, 1.1176e-08, 1.3039e-08, ..., 2.7940e-09, -9.3132e-10, 1.2107e-08], [-2.7008e-08, -9.9652e-08, -2.2631e-07, ..., -9.9652e-08, 2.7940e-09, 1.0245e-08], [-9.7509e-07, -9.3132e-09, 9.4064e-08, ..., 2.4214e-08, 4.6566e-09, 1.6764e-08], ..., [ 2.8498e-07, 3.2596e-08, -1.2107e-08, ..., 2.3283e-08, 9.3132e-10, 1.8626e-09], [ 9.6858e-08, -2.8871e-08, -8.4750e-08, ..., 3.2596e-08, 5.5879e-09, 2.2352e-08], [ 3.9116e-08, 4.6566e-09, 4.6566e-08, ..., 1.6764e-08, 7.4506e-09, -1.9930e-07]], device='cuda:0') Epoch 236, bias, value: tensor([-0.0009, -0.0168, -0.0305, 0.0374, -0.0293, 0.0274, -0.0185, -0.0118, 0.0101, -0.0269], device='cuda:0'), grad: tensor([ 2.0768e-07, 1.5646e-07, -2.8722e-06, 9.5367e-07, 1.9651e-07, 2.1234e-07, 2.1141e-07, 7.0315e-07, 3.9954e-07, -1.5367e-07], device='cuda:0') 100 0.0001 changing lr epoch 235, time 214.91, cls_loss 0.0013 cls_loss_mapping 0.0021 cls_loss_causal 0.4842 re_mapping 0.0046 re_causal 0.0139 /// teacc 98.99 lr 0.00010000 Epoch 237, weight, value: tensor([[-0.1234, -0.1397, -0.0985, ..., -0.1481, -0.0160, 0.0775], [ 0.0614, 0.0568, 0.0472, ..., 0.1009, -0.1717, -0.0552], [ 0.0542, 0.0224, -0.1482, ..., -0.0411, -0.2058, -0.0838], ..., [-0.0496, -0.1301, 0.0907, ..., -0.1178, -0.0463, 0.0013], [ 0.0241, 0.0952, 0.1496, ..., -0.1284, -0.1375, -0.2092], [-0.1546, 0.0176, -0.2527, ..., -0.1293, -0.1047, 0.1062]], device='cuda:0'), grad: tensor([[ 7.4506e-09, 5.5879e-09, 5.5879e-09, ..., 5.5879e-09, 3.4366e-07, 4.4890e-07], [-5.1409e-07, -2.5611e-07, -7.2829e-07, ..., -4.7777e-07, 9.3132e-09, 1.1176e-08], [ 5.8673e-08, 4.0978e-08, 8.1956e-08, ..., 5.5879e-08, 2.7940e-08, 2.6077e-08], ..., [ 3.0920e-07, 1.4342e-07, 3.7905e-07, ..., 2.6729e-07, 5.5879e-09, 2.3283e-08], [ 8.5682e-08, 5.2154e-08, 7.1712e-08, ..., 6.1467e-08, 2.9802e-08, 2.8871e-08], [ 2.7940e-08, 5.6811e-08, 3.5390e-08, ..., 1.4715e-07, 2.1327e-07, 1.4622e-07]], device='cuda:0') Epoch 237, bias, value: tensor([-0.0008, -0.0194, -0.0307, 0.0377, -0.0295, 0.0274, -0.0184, -0.0087, 0.0094, -0.0269], device='cuda:0'), grad: tensor([ 7.8604e-07, -1.1623e-06, 2.1048e-07, -1.4715e-07, -1.9092e-07, -1.4063e-06, 1.5832e-07, 7.8510e-07, 3.2503e-07, 6.4354e-07], device='cuda:0') 100 0.0001 changing lr epoch 236, time 214.94, cls_loss 0.0012 cls_loss_mapping 0.0031 cls_loss_causal 0.4981 re_mapping 0.0048 re_causal 0.0147 /// teacc 98.96 lr 0.00010000 Epoch 238, weight, value: tensor([[-0.1237, -0.1398, -0.0987, ..., -0.1481, -0.0158, 0.0779], [ 0.0614, 0.0568, 0.0472, ..., 0.1009, -0.1721, -0.0552], [ 0.0557, 0.0225, -0.1444, ..., -0.0414, -0.2061, -0.0835], ..., [-0.0504, -0.1310, 0.0905, ..., -0.1183, -0.0467, 0.0008], [ 0.0245, 0.0953, 0.1503, ..., -0.1291, -0.1376, -0.2099], [-0.1549, 0.0173, -0.2531, ..., -0.1301, -0.1053, 0.1063]], device='cuda:0'), grad: tensor([[ 4.6566e-09, 3.7253e-09, 2.7940e-09, ..., 1.8626e-09, -9.3132e-10, -3.7253e-08], [-1.0710e-07, -1.1642e-07, -1.6205e-07, ..., -9.6858e-08, 3.7253e-09, 2.7940e-09], [ 1.8626e-09, 2.7008e-08, 2.8871e-08, ..., 1.4901e-08, 6.5193e-09, -0.0000e+00], ..., [ 3.9116e-08, 2.7940e-08, 4.0978e-08, ..., 2.6077e-08, 1.8626e-09, -9.3132e-10], [-2.0489e-08, 6.1467e-08, -3.1665e-08, ..., 2.8871e-08, 5.0291e-08, 3.6322e-08], [ 1.1176e-08, 1.0245e-08, 1.5832e-08, ..., 3.0734e-08, 2.1420e-08, 5.5879e-09]], device='cuda:0') Epoch 238, bias, value: tensor([-0.0005, -0.0194, -0.0276, 0.0376, -0.0288, 0.0274, -0.0184, -0.0103, 0.0094, -0.0272], device='cuda:0'), grad: tensor([-3.1665e-08, -2.5611e-07, 2.6077e-08, 2.3190e-07, -3.1665e-08, -5.3737e-07, 2.8871e-07, 9.0338e-08, 1.3318e-07, 7.9162e-08], device='cuda:0') 100 0.0001 changing lr epoch 237, time 215.00, cls_loss 0.0013 cls_loss_mapping 0.0025 cls_loss_causal 0.4743 re_mapping 0.0047 re_causal 0.0141 /// teacc 99.04 lr 0.00010000 Epoch 239, weight, value: tensor([[-0.1219, -0.1394, -0.0989, ..., -0.1482, -0.0158, 0.0779], [ 0.0614, 0.0566, 0.0472, ..., 0.1013, -0.1721, -0.0550], [ 0.0554, 0.0227, -0.1452, ..., -0.0423, -0.2071, -0.0847], ..., [-0.0504, -0.1313, 0.0905, ..., -0.1194, -0.0485, 0.0008], [ 0.0242, 0.0953, 0.1505, ..., -0.1292, -0.1379, -0.2103], [-0.1554, 0.0174, -0.2534, ..., -0.1306, -0.1055, 0.1066]], device='cuda:0'), grad: tensor([[ 2.6077e-08, 1.5832e-08, 1.2107e-08, ..., 2.1420e-08, 2.7008e-08, 1.9558e-08], [ 2.2352e-08, 5.4017e-08, 9.1176e-07, ..., 9.4995e-08, 1.3597e-07, 3.5670e-07], [ 1.6671e-07, 4.8429e-08, 1.7788e-07, ..., 2.9802e-08, 3.9116e-08, 4.3772e-08], ..., [ 1.7136e-07, 8.5682e-08, -1.9670e-06, ..., 8.6613e-08, 8.7544e-08, -4.1816e-07], [-1.1083e-07, -8.3819e-09, 5.6811e-08, ..., 2.4773e-07, 3.5577e-07, 4.4145e-07], [ 5.8673e-08, -2.6298e-04, 2.8033e-07, ..., -3.0899e-04, -4.9782e-04, -4.8637e-04]], device='cuda:0') Epoch 239, bias, value: tensor([-0.0001, -0.0195, -0.0279, 0.0377, -0.0289, 0.0273, -0.0183, -0.0103, 0.0092, -0.0270], device='cuda:0'), grad: tensor([ 1.7602e-07, 2.3246e-06, 7.0408e-07, -7.2271e-07, 1.9970e-03, 1.3523e-06, 1.0338e-06, -2.7716e-06, 1.8934e-06, -2.0027e-03], device='cuda:0') 100 0.0001 changing lr epoch 238, time 214.53, cls_loss 0.0015 cls_loss_mapping 0.0036 cls_loss_causal 0.4815 re_mapping 0.0044 re_causal 0.0130 /// teacc 99.03 lr 0.00010000 Epoch 240, weight, value: tensor([[-0.1224, -0.1397, -0.0995, ..., -0.1484, -0.0139, 0.0796], [ 0.0615, 0.0566, 0.0473, ..., 0.1020, -0.1723, -0.0562], [ 0.0557, 0.0226, -0.1455, ..., -0.0427, -0.2081, -0.0853], ..., [-0.0505, -0.1320, 0.0905, ..., -0.1201, -0.0489, 0.0011], [ 0.0240, 0.0957, 0.1504, ..., -0.1306, -0.1390, -0.2117], [-0.1549, 0.0186, -0.2536, ..., -0.1292, -0.1038, 0.1080]], device='cuda:0'), grad: tensor([[ 3.1013e-07, 7.2643e-08, 1.7229e-07, ..., 4.0047e-08, 4.5635e-08, -1.8720e-07], [ 1.7695e-08, -1.0617e-07, -5.7463e-07, ..., -2.5798e-07, 1.6941e-06, 1.4957e-06], [-1.5739e-06, 3.3528e-08, 1.1455e-07, ..., 3.5390e-08, 3.8184e-08, 4.4703e-08], ..., [ 4.4703e-07, 1.2852e-07, 6.2734e-06, ..., 2.7288e-07, 5.8673e-08, 1.9167e-06], [-5.7090e-07, -2.2911e-07, -3.3062e-07, ..., 2.7940e-08, 2.2165e-07, 2.9709e-07], [ 1.2852e-07, 4.5635e-08, 9.8720e-08, ..., 2.1700e-07, 1.8440e-07, 5.1223e-08]], device='cuda:0') Epoch 240, bias, value: tensor([ 0.0013, -0.0196, -0.0277, 0.0340, -0.0307, 0.0291, -0.0188, -0.0103, 0.0087, -0.0254], device='cuda:0'), grad: tensor([ 7.6648e-07, 5.3979e-06, -2.9299e-06, -1.3605e-05, -5.5321e-07, -9.4101e-06, 1.1586e-06, 1.8209e-05, -3.1665e-08, 1.0030e-06], device='cuda:0') 100 0.0001 changing lr epoch 239, time 214.96, cls_loss 0.0011 cls_loss_mapping 0.0017 cls_loss_causal 0.4990 re_mapping 0.0046 re_causal 0.0143 /// teacc 98.98 lr 0.00010000 Epoch 241, weight, value: tensor([[-0.1227, -0.1397, -0.0997, ..., -0.1483, -0.0133, 0.0801], [ 0.0616, 0.0567, 0.0474, ..., 0.1021, -0.1731, -0.0563], [ 0.0555, 0.0225, -0.1458, ..., -0.0435, -0.2087, -0.0857], ..., [-0.0506, -0.1329, 0.0905, ..., -0.1222, -0.0506, 0.0012], [ 0.0237, 0.0954, 0.1504, ..., -0.1324, -0.1403, -0.2122], [-0.1552, 0.0183, -0.2539, ..., -0.1303, -0.1044, 0.1080]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 3.7253e-09, 9.3132e-10, ..., -3.7253e-09, -1.1083e-06, -2.1961e-06], [-1.2107e-08, -7.4506e-09, -9.3132e-09, ..., -9.3132e-10, 1.9558e-08, 2.0489e-08], [-2.7940e-09, 4.6566e-09, 1.3039e-08, ..., 8.3819e-09, 9.3132e-09, 1.4901e-08], ..., [ 9.3132e-09, 1.3970e-08, -2.7940e-08, ..., 1.0245e-08, 2.7940e-09, 7.4506e-09], [ 2.7940e-09, 1.3039e-08, 2.7940e-09, ..., 6.5193e-09, 1.3039e-08, 2.7940e-08], [ 9.3132e-10, -3.1665e-08, 9.3132e-09, ..., 4.9360e-08, 6.3330e-08, -2.4214e-08]], device='cuda:0') Epoch 241, bias, value: tensor([ 0.0016, -0.0196, -0.0279, 0.0336, -0.0301, 0.0294, -0.0188, -0.0103, 0.0082, -0.0258], device='cuda:0'), grad: tensor([-3.5502e-06, 3.7253e-08, 4.7497e-08, 1.8626e-09, -9.0338e-08, 2.0396e-07, 3.2671e-06, 2.7940e-09, 7.8231e-08, 2.6077e-08], device='cuda:0') 100 0.0001 changing lr epoch 240, time 215.02, cls_loss 0.0012 cls_loss_mapping 0.0023 cls_loss_causal 0.4997 re_mapping 0.0044 re_causal 0.0141 /// teacc 99.05 lr 0.00010000 Epoch 242, weight, value: tensor([[-0.1235, -0.1399, -0.1001, ..., -0.1484, -0.0132, 0.0802], [ 0.0622, 0.0580, 0.0475, ..., 0.1022, -0.1732, -0.0561], [ 0.0545, 0.0205, -0.1475, ..., -0.0436, -0.2090, -0.0868], ..., [-0.0506, -0.1333, 0.0906, ..., -0.1224, -0.0503, 0.0010], [ 0.0239, 0.0970, 0.1507, ..., -0.1328, -0.1392, -0.2123], [-0.1557, 0.0179, -0.2543, ..., -0.1309, -0.1048, 0.1085]], device='cuda:0'), grad: tensor([[ 2.8871e-08, 8.3819e-09, 1.8626e-08, ..., 3.7253e-09, -2.0210e-07, -6.6590e-07], [ 1.3504e-07, -1.3039e-08, 1.6224e-06, ..., -3.2596e-08, 1.7695e-08, 1.9278e-06], [ 1.2107e-07, 8.3819e-09, 2.4680e-07, ..., 1.8626e-09, 1.3039e-08, 2.7660e-07], ..., [-3.2596e-08, 8.3819e-09, -3.7085e-06, ..., 9.3132e-09, 1.3039e-08, -4.1723e-06], [ 1.2293e-07, 4.6566e-09, 6.9849e-08, ..., 3.7253e-09, 3.0734e-08, 1.4994e-07], [ 1.4622e-07, 3.7253e-09, 1.5488e-06, ..., 3.7253e-09, 5.8673e-08, 1.9595e-06]], device='cuda:0') Epoch 242, bias, value: tensor([ 0.0016, -0.0192, -0.0288, 0.0338, -0.0300, 0.0294, -0.0190, -0.0103, 0.0088, -0.0258], device='cuda:0'), grad: tensor([-1.4957e-06, 5.1931e-06, 9.9372e-07, -4.4107e-06, 3.9488e-07, -6.1467e-06, 9.8422e-06, -1.0453e-05, 7.1339e-07, 5.3383e-06], device='cuda:0') 100 0.0001 changing lr epoch 241, time 214.84, cls_loss 0.0015 cls_loss_mapping 0.0039 cls_loss_causal 0.4975 re_mapping 0.0046 re_causal 0.0132 /// teacc 99.03 lr 0.00010000 Epoch 243, weight, value: tensor([[-0.1244, -0.1411, -0.1010, ..., -0.1496, -0.0135, 0.0805], [ 0.0624, 0.0590, 0.0476, ..., 0.1031, -0.1733, -0.0561], [ 0.0548, 0.0210, -0.1475, ..., -0.0438, -0.2093, -0.0848], ..., [-0.0508, -0.1361, 0.0906, ..., -0.1252, -0.0514, 0.0014], [ 0.0231, 0.0968, 0.1506, ..., -0.1334, -0.1397, -0.2139], [-0.1575, 0.0169, -0.2572, ..., -0.1335, -0.1055, 0.1075]], device='cuda:0'), grad: tensor([[ 4.4890e-07, 3.8836e-07, 3.4459e-08, ..., 7.7300e-08, 2.5146e-08, -4.9360e-08], [ 4.3493e-07, 2.2594e-06, 6.7800e-07, ..., 1.3569e-06, 4.4610e-07, 1.8347e-07], [-4.4331e-07, 2.1514e-07, 1.8533e-07, ..., 8.1025e-08, 2.6077e-08, 1.0524e-07], ..., [-2.5146e-07, 7.6368e-08, -2.0713e-06, ..., 4.6566e-09, 2.7940e-09, -1.2033e-06], [ 7.8604e-07, 5.1316e-07, 7.7300e-08, ..., 3.2596e-08, 1.5832e-08, 2.2724e-07], [ 2.7474e-07, -2.1514e-07, 9.3970e-07, ..., 6.5193e-09, -4.0978e-08, -3.8370e-07]], device='cuda:0') Epoch 243, bias, value: tensor([ 0.0015, -0.0190, -0.0284, 0.0339, -0.0293, 0.0295, -0.0191, -0.0104, 0.0080, -0.0270], device='cuda:0'), grad: tensor([ 1.3579e-06, 5.5432e-06, -4.5076e-07, -4.4554e-06, 1.4361e-06, 1.5069e-06, -4.1462e-06, -4.8243e-06, 2.8946e-06, 1.1250e-06], device='cuda:0') 100 0.0001 changing lr epoch 242, time 215.01, cls_loss 0.0012 cls_loss_mapping 0.0022 cls_loss_causal 0.5128 re_mapping 0.0042 re_causal 0.0134 /// teacc 98.92 lr 0.00010000 Epoch 244, weight, value: tensor([[-0.1248, -0.1413, -0.1012, ..., -0.1492, -0.0129, 0.0810], [ 0.0625, 0.0590, 0.0476, ..., 0.1034, -0.1734, -0.0563], [ 0.0549, 0.0207, -0.1478, ..., -0.0442, -0.2094, -0.0848], ..., [-0.0508, -0.1366, 0.0906, ..., -0.1256, -0.0517, 0.0015], [ 0.0228, 0.0963, 0.1507, ..., -0.1337, -0.1427, -0.2169], [-0.1573, 0.0170, -0.2576, ..., -0.1339, -0.1058, 0.1076]], device='cuda:0'), grad: tensor([[ 1.3970e-08, 1.6764e-08, 9.3132e-09, ..., 6.5193e-09, 1.8626e-09, -1.7695e-08], [-2.2538e-07, -1.8347e-07, -4.0419e-07, ..., -1.5832e-07, 4.6566e-09, 8.3819e-09], [-5.3085e-08, 5.1223e-08, 5.0291e-08, ..., 2.2352e-08, 3.7253e-09, 2.2352e-08], ..., [ 1.3597e-07, 7.9162e-08, 1.9278e-07, ..., 7.6368e-08, 9.3132e-10, -1.8626e-09], [ 4.9360e-08, 6.5193e-08, 6.0536e-08, ..., 3.0734e-08, 1.7695e-08, 3.6322e-08], [ 1.5832e-08, -5.5134e-07, 2.2352e-08, ..., 2.3283e-08, 1.5832e-08, -8.0373e-07]], device='cuda:0') Epoch 244, bias, value: tensor([ 0.0019, -0.0190, -0.0285, 0.0339, -0.0293, 0.0299, -0.0192, -0.0103, 0.0060, -0.0271], device='cuda:0'), grad: tensor([ 3.7253e-08, -5.9605e-07, -9.0338e-08, 2.2352e-07, 1.3225e-07, 2.0433e-06, 2.0489e-08, 4.1258e-07, 2.8219e-07, -2.4457e-06], device='cuda:0') 100 0.0001 changing lr epoch 243, time 214.65, cls_loss 0.0012 cls_loss_mapping 0.0018 cls_loss_causal 0.4906 re_mapping 0.0045 re_causal 0.0135 /// teacc 99.00 lr 0.00010000 Epoch 245, weight, value: tensor([[-0.1250, -0.1415, -0.1015, ..., -0.1492, -0.0129, 0.0812], [ 0.0632, 0.0605, 0.0475, ..., 0.1032, -0.1738, -0.0565], [ 0.0538, 0.0182, -0.1480, ..., -0.0443, -0.2098, -0.0859], ..., [-0.0507, -0.1349, 0.0910, ..., -0.1257, -0.0525, 0.0032], [ 0.0223, 0.0964, 0.1510, ..., -0.1333, -0.1431, -0.2174], [-0.1580, 0.0180, -0.2602, ..., -0.1342, -0.1059, 0.1075]], device='cuda:0'), grad: tensor([[ 3.5390e-08, -4.9360e-08, 8.3819e-09, ..., 0.0000e+00, -4.1258e-07, -1.1083e-06], [-3.9488e-07, -1.7416e-07, -7.2643e-08, ..., -1.1176e-08, 9.3132e-09, 7.5437e-08], [ 6.6031e-07, 2.2911e-07, 2.7195e-07, ..., 9.3132e-10, 2.7940e-09, 7.2643e-08], ..., [ 9.4995e-08, 1.6764e-08, -1.0151e-07, ..., 1.1176e-08, 2.3283e-08, -1.2480e-07], [-1.3746e-06, -4.7125e-07, -7.5996e-07, ..., 1.8626e-09, 3.7253e-08, 2.2352e-08], [ 7.8231e-08, 3.0734e-08, 5.4017e-08, ..., 1.3411e-07, 4.0419e-07, 1.4901e-07]], device='cuda:0') Epoch 245, bias, value: tensor([ 0.0019, -0.0187, -0.0294, 0.0339, -0.0298, 0.0299, -0.0192, -0.0099, 0.0057, -0.0272], device='cuda:0'), grad: tensor([-1.3420e-06, -4.0140e-07, 1.1949e-06, -1.2703e-05, -7.4506e-07, 1.3553e-05, 1.2452e-06, 2.5146e-08, -2.0117e-06, 1.1707e-06], device='cuda:0') 100 0.0001 changing lr epoch 244, time 214.99, cls_loss 0.0013 cls_loss_mapping 0.0024 cls_loss_causal 0.5169 re_mapping 0.0044 re_causal 0.0137 /// teacc 99.02 lr 0.00010000 Epoch 246, weight, value: tensor([[-0.1257, -0.1414, -0.1024, ..., -0.1492, -0.0151, 0.0781], [ 0.0633, 0.0609, 0.0475, ..., 0.1037, -0.1738, -0.0564], [ 0.0540, 0.0180, -0.1481, ..., -0.0447, -0.2101, -0.0862], ..., [-0.0508, -0.1356, 0.0910, ..., -0.1264, -0.0527, 0.0033], [ 0.0228, 0.0989, 0.1528, ..., -0.1335, -0.1426, -0.2175], [-0.1589, 0.0177, -0.2610, ..., -0.1345, -0.1039, 0.1107]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 2.3283e-08, 1.8626e-09, ..., 3.7253e-08, 2.5146e-08, -4.3772e-08], [-3.8184e-08, -1.2107e-08, -5.7742e-08, ..., -1.3039e-08, 1.6764e-08, 1.8626e-08], [-1.8626e-09, 1.7323e-07, 3.7253e-09, ..., 6.7428e-07, 3.0454e-07, 4.6566e-09], ..., [ 1.4901e-08, 1.1735e-07, 5.1223e-08, ..., 2.6077e-08, 1.4901e-08, 1.7323e-07], [ 8.3819e-09, 8.7544e-08, 2.1420e-08, ..., 2.6077e-08, 7.6368e-08, 5.4948e-08], [ 6.5193e-09, -2.0396e-07, -1.1083e-07, ..., 1.8720e-07, 1.1362e-07, -5.0478e-07]], device='cuda:0') Epoch 246, bias, value: tensor([-0.0012, -0.0185, -0.0294, 0.0341, -0.0299, 0.0298, -0.0194, -0.0099, 0.0068, -0.0242], device='cuda:0'), grad: tensor([ 5.2154e-08, -1.1176e-08, 1.3066e-06, -5.4948e-08, -1.4352e-06, -9.0338e-08, -1.1362e-07, 4.2561e-07, 3.2224e-07, -4.0606e-07], device='cuda:0') 100 0.0001 changing lr epoch 245, time 215.06, cls_loss 0.0015 cls_loss_mapping 0.0022 cls_loss_causal 0.5192 re_mapping 0.0043 re_causal 0.0133 /// teacc 99.02 lr 0.00010000 Epoch 247, weight, value: tensor([[-0.1258, -0.1415, -0.1011, ..., -0.1494, -0.0150, 0.0781], [ 0.0644, 0.0615, 0.0490, ..., 0.1046, -0.1742, -0.0544], [ 0.0539, 0.0179, -0.1489, ..., -0.0451, -0.2106, -0.0864], ..., [-0.0519, -0.1374, 0.0897, ..., -0.1278, -0.0523, 0.0016], [ 0.0227, 0.0986, 0.1531, ..., -0.1338, -0.1434, -0.2190], [-0.1585, 0.0180, -0.2614, ..., -0.1350, -0.1042, 0.1107]], device='cuda:0'), grad: tensor([[ 6.5193e-09, 5.5879e-09, 1.7695e-08, ..., 2.7940e-09, 1.8626e-09, 9.3132e-10], [-2.1979e-07, 4.8336e-07, 9.3430e-06, ..., 1.7136e-07, 9.3132e-10, 2.4587e-06], [ 2.7940e-09, 1.1176e-08, 5.2154e-08, ..., 6.5193e-09, 9.3132e-10, 1.3970e-08], ..., [ 1.0431e-07, -6.3144e-07, -1.0684e-05, ..., -2.5798e-07, 9.3132e-10, -2.7884e-06], [ 1.6764e-08, 9.3132e-09, 5.3085e-08, ..., 6.5193e-09, 9.3132e-09, 1.8626e-08], [ 5.2154e-08, 8.9407e-08, 9.6858e-07, ..., 5.7742e-08, 7.4506e-09, 2.3097e-07]], device='cuda:0') Epoch 247, bias, value: tensor([-0.0011, -0.0170, -0.0296, 0.0347, -0.0298, 0.0294, -0.0194, -0.0113, 0.0063, -0.0242], device='cuda:0'), grad: tensor([ 4.5635e-08, 2.1964e-05, 1.0524e-07, 1.5646e-07, 2.9523e-07, 3.5390e-08, 5.7742e-08, -2.5064e-05, 1.5553e-07, 2.2836e-06], device='cuda:0') 100 0.0001 changing lr epoch 246, time 214.87, cls_loss 0.0013 cls_loss_mapping 0.0020 cls_loss_causal 0.4651 re_mapping 0.0042 re_causal 0.0127 /// teacc 99.04 lr 0.00010000 Epoch 248, weight, value: tensor([[-0.1276, -0.1428, -0.1026, ..., -0.1497, -0.0150, 0.0781], [ 0.0646, 0.0616, 0.0491, ..., 0.1048, -0.1745, -0.0546], [ 0.0538, 0.0177, -0.1493, ..., -0.0455, -0.2108, -0.0865], ..., [-0.0520, -0.1381, 0.0897, ..., -0.1279, -0.0526, 0.0015], [ 0.0232, 0.0987, 0.1538, ..., -0.1341, -0.1438, -0.2197], [-0.1583, 0.0178, -0.2613, ..., -0.1357, -0.1039, 0.1109]], device='cuda:0'), grad: tensor([[ 5.4017e-08, 3.8184e-08, 4.5635e-08, ..., 2.5146e-08, -8.6613e-08, -3.2503e-07], [-1.2573e-07, -6.6124e-08, 4.6752e-07, ..., -4.0978e-08, 6.1467e-08, 3.9022e-07], [-1.2489e-06, 8.4750e-08, 1.3970e-07, ..., 1.9558e-08, 1.1176e-08, 2.7940e-08], ..., [ 1.2200e-06, 7.5437e-08, -8.3540e-07, ..., 5.2154e-08, 3.3528e-08, -5.0757e-07], [-5.5321e-07, -2.7567e-06, -5.8152e-06, ..., 1.9558e-08, 2.3283e-08, 2.8871e-08], [ 3.2596e-08, 6.0908e-07, 3.1572e-07, ..., 6.4727e-07, 4.3958e-07, 1.8440e-07]], device='cuda:0') Epoch 248, bias, value: tensor([-0.0012, -0.0169, -0.0297, 0.0347, -0.0302, 0.0294, -0.0194, -0.0114, 0.0066, -0.0241], device='cuda:0'), grad: tensor([-2.9989e-07, 1.7220e-06, -6.5565e-06, 1.0014e-05, -2.7046e-06, 1.5991e-06, 1.8226e-06, 3.9525e-06, -1.2904e-05, 3.2894e-06], device='cuda:0') 100 0.0001 changing lr epoch 247, time 214.87, cls_loss 0.0012 cls_loss_mapping 0.0026 cls_loss_causal 0.5128 re_mapping 0.0044 re_causal 0.0135 /// teacc 99.00 lr 0.00010000 Epoch 249, weight, value: tensor([[-0.1278, -0.1430, -0.1029, ..., -0.1499, -0.0147, 0.0782], [ 0.0647, 0.0615, 0.0491, ..., 0.1045, -0.1750, -0.0547], [ 0.0538, 0.0177, -0.1506, ..., -0.0461, -0.2112, -0.0867], ..., [-0.0520, -0.1383, 0.0898, ..., -0.1284, -0.0544, 0.0015], [ 0.0235, 0.0994, 0.1542, ..., -0.1343, -0.1437, -0.2200], [-0.1588, 0.0176, -0.2617, ..., -0.1369, -0.1043, 0.1109]], device='cuda:0'), grad: tensor([[ 1.3970e-08, 2.6077e-08, 9.3132e-10, ..., 2.4214e-08, 4.0978e-08, 6.5193e-09], [-1.1176e-08, 2.8498e-07, -3.5390e-08, ..., 2.5425e-07, 4.8243e-07, 1.3039e-08], [-2.0768e-07, -3.0734e-08, 8.3819e-09, ..., 1.0245e-08, 1.1176e-08, -2.8871e-08], ..., [ 4.7497e-08, 6.5193e-09, 9.3132e-10, ..., 7.4506e-09, 0.0000e+00, 2.5146e-08], [ 3.3155e-07, 4.2841e-08, 5.4948e-08, ..., 1.3039e-08, 1.7695e-08, 1.6764e-08], [ 1.0245e-08, -1.7695e-08, 6.5193e-09, ..., 4.6566e-09, 2.7940e-09, -1.6578e-07]], device='cuda:0') Epoch 249, bias, value: tensor([-0.0011, -0.0170, -0.0302, 0.0345, -0.0297, 0.0295, -0.0196, -0.0111, 0.0069, -0.0242], device='cuda:0'), grad: tensor([ 1.3039e-07, 1.1064e-06, -4.1164e-07, -9.0711e-07, 2.1700e-07, 3.8650e-07, -1.3569e-06, 1.2759e-07, 9.0618e-07, -1.9372e-07], device='cuda:0') 100 0.0001 changing lr epoch 248, time 215.18, cls_loss 0.0015 cls_loss_mapping 0.0027 cls_loss_causal 0.5035 re_mapping 0.0045 re_causal 0.0134 /// teacc 98.96 lr 0.00010000 Epoch 250, weight, value: tensor([[-0.1292, -0.1445, -0.1040, ..., -0.1499, -0.0144, 0.0784], [ 0.0647, 0.0613, 0.0491, ..., 0.1045, -0.1751, -0.0556], [ 0.0537, 0.0178, -0.1507, ..., -0.0464, -0.2118, -0.0866], ..., [-0.0521, -0.1385, 0.0898, ..., -0.1287, -0.0557, 0.0014], [ 0.0231, 0.1008, 0.1546, ..., -0.1348, -0.1435, -0.2204], [-0.1594, 0.0189, -0.2623, ..., -0.1371, -0.1044, 0.1113]], device='cuda:0'), grad: tensor([[ 6.0629e-07, 1.9558e-08, 1.8626e-09, ..., 1.1176e-08, -1.1176e-08, -1.5087e-07], [ 7.3276e-06, 3.7253e-09, -6.0536e-08, ..., -3.5390e-08, 3.9116e-08, 4.6566e-09], [ 4.0859e-05, -5.5879e-09, 1.5832e-08, ..., 1.6764e-08, 7.4506e-09, 9.3132e-09], ..., [ 3.4701e-06, 1.3039e-08, 1.1176e-08, ..., 2.1420e-08, 8.3819e-09, 1.1176e-08], [ 4.2003e-07, -8.1956e-08, -6.6124e-08, ..., 2.2352e-08, 2.6077e-08, 7.4506e-09], [ 2.5164e-06, 1.1828e-07, 5.0291e-08, ..., 4.3027e-07, 4.3958e-07, 9.0338e-08]], device='cuda:0') Epoch 250, bias, value: tensor([-0.0011, -0.0172, -0.0304, 0.0356, -0.0307, 0.0286, -0.0191, -0.0111, 0.0075, -0.0239], device='cuda:0'), grad: tensor([ 9.2853e-07, 1.3188e-05, 7.3195e-05, -1.1092e-04, -8.6706e-07, 1.1936e-05, -3.7160e-07, 6.2585e-06, 5.9325e-07, 6.1356e-06], device='cuda:0') 100 0.0001 changing lr epoch 249, time 215.39, cls_loss 0.0012 cls_loss_mapping 0.0025 cls_loss_causal 0.5153 re_mapping 0.0044 re_causal 0.0134 /// teacc 99.08 lr 0.00010000 Epoch 251, weight, value: tensor([[-0.1296, -0.1463, -0.1044, ..., -0.1501, -0.0152, 0.0783], [ 0.0647, 0.0622, 0.0493, ..., 0.1053, -0.1748, -0.0552], [ 0.0537, 0.0179, -0.1512, ..., -0.0468, -0.2119, -0.0867], ..., [-0.0522, -0.1387, 0.0899, ..., -0.1280, -0.0545, 0.0016], [ 0.0233, 0.1010, 0.1554, ..., -0.1355, -0.1440, -0.2207], [-0.1604, 0.0186, -0.2633, ..., -0.1375, -0.1049, 0.1113]], device='cuda:0'), grad: tensor([[ 1.4901e-08, 1.8626e-08, 1.0245e-08, ..., 0.0000e+00, 8.3819e-09, 2.7940e-09], [ 1.4156e-07, 7.3574e-08, 0.0000e+00, ..., -1.6764e-08, 1.1176e-08, 1.7695e-08], [-2.9989e-07, -1.0803e-07, 2.6077e-08, ..., 1.8626e-09, 2.7940e-09, 4.6566e-09], ..., [ 4.3772e-08, 3.0734e-08, -1.8626e-09, ..., 9.3132e-09, 2.7940e-09, 1.1176e-08], [-1.2666e-07, 1.1083e-07, -3.1479e-07, ..., 8.3819e-09, 1.7416e-07, 1.3690e-07], [ 1.1455e-07, -1.5739e-07, 1.7881e-07, ..., 1.0245e-07, 8.1956e-08, -7.2923e-07]], device='cuda:0') Epoch 251, bias, value: tensor([-0.0013, -0.0170, -0.0304, 0.0360, -0.0307, 0.0285, -0.0190, -0.0111, 0.0076, -0.0240], device='cuda:0'), grad: tensor([ 7.0781e-08, 3.7905e-07, -5.5134e-07, 3.2596e-07, 8.9221e-07, 1.3132e-07, -5.4855e-07, 1.1362e-07, -1.1642e-07, -7.0222e-07], device='cuda:0') 100 0.0001 changing lr epoch 250, time 215.35, cls_loss 0.0011 cls_loss_mapping 0.0025 cls_loss_causal 0.4737 re_mapping 0.0044 re_causal 0.0133 /// teacc 98.96 lr 0.00010000 Epoch 252, weight, value: tensor([[-0.1298, -0.1476, -0.1045, ..., -0.1502, -0.0157, 0.0783], [ 0.0648, 0.0623, 0.0492, ..., 0.1056, -0.1749, -0.0555], [ 0.0542, 0.0192, -0.1520, ..., -0.0468, -0.2121, -0.0867], ..., [-0.0522, -0.1389, 0.0901, ..., -0.1281, -0.0539, 0.0024], [ 0.0220, 0.1001, 0.1556, ..., -0.1358, -0.1443, -0.2211], [-0.1616, 0.0182, -0.2648, ..., -0.1381, -0.1051, 0.1112]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 5.5879e-09, 0.0000e+00, ..., 0.0000e+00, -2.4214e-08, -3.4459e-08], [ 2.7940e-09, 9.3132e-10, 2.2538e-07, ..., 0.0000e+00, 1.8626e-09, 1.2107e-08], [-1.1176e-08, 2.7940e-09, 1.8626e-09, ..., 0.0000e+00, 1.8626e-09, 2.9802e-08], ..., [ 4.6566e-09, 9.3132e-09, -2.4773e-07, ..., 1.8626e-09, -0.0000e+00, 2.6263e-07], [ 9.3132e-10, 9.3132e-10, 1.3970e-08, ..., 0.0000e+00, 7.4506e-09, 1.2107e-08], [ 0.0000e+00, -3.5390e-08, 4.6566e-09, ..., 7.4506e-09, 1.4901e-08, -4.0233e-07]], device='cuda:0') Epoch 252, bias, value: tensor([-0.0014, -0.0171, -0.0299, 0.0361, -0.0300, 0.0284, -0.0189, -0.0106, 0.0065, -0.0244], device='cuda:0'), grad: tensor([-5.4017e-08, 2.7753e-07, 2.6077e-08, 3.1665e-08, 1.2387e-07, -5.9605e-08, 6.8918e-08, 9.5926e-08, 4.1910e-08, -5.4762e-07], device='cuda:0') 100 0.0001 changing lr epoch 251, time 215.02, cls_loss 0.0013 cls_loss_mapping 0.0025 cls_loss_causal 0.4742 re_mapping 0.0048 re_causal 0.0138 /// teacc 99.07 lr 0.00010000 Epoch 253, weight, value: tensor([[-0.1261, -0.1474, -0.1021, ..., -0.1503, -0.0154, 0.0787], [ 0.0647, 0.0623, 0.0493, ..., 0.1059, -0.1751, -0.0558], [ 0.0545, 0.0193, -0.1523, ..., -0.0470, -0.2131, -0.0875], ..., [-0.0522, -0.1391, 0.0901, ..., -0.1283, -0.0543, 0.0027], [ 0.0207, 0.1006, 0.1556, ..., -0.1365, -0.1446, -0.2243], [-0.1627, 0.0181, -0.2656, ..., -0.1384, -0.1054, 0.1113]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 8.3819e-09, 9.3132e-10, ..., 3.7253e-09, 1.0245e-08, -3.8184e-08], [-1.0245e-08, 2.7940e-08, -9.3132e-09, ..., 2.7940e-08, 1.5646e-07, 1.1176e-08], [ 9.3132e-10, 6.5193e-09, 5.5879e-09, ..., 6.5193e-09, 1.0245e-08, 4.6566e-09], ..., [ 5.5879e-09, 3.0734e-08, 5.5879e-09, ..., 1.1176e-08, 2.7008e-08, 4.9360e-08], [-1.6764e-08, 3.8836e-07, -3.6322e-08, ..., 4.9453e-07, 2.2538e-06, 4.6566e-08], [ 1.1176e-08, -2.5984e-07, -2.5146e-08, ..., 3.9488e-07, 2.6077e-08, -7.8883e-07]], device='cuda:0') Epoch 253, bias, value: tensor([-0.0007, -0.0172, -0.0298, 0.0360, -0.0300, 0.0286, -0.0194, -0.0104, 0.0048, -0.0245], device='cuda:0'), grad: tensor([-1.1176e-08, 3.4645e-07, 5.2154e-08, 4.5747e-06, -5.2806e-07, -1.1533e-05, 2.8331e-06, 1.5087e-07, 4.8056e-06, -7.1898e-07], device='cuda:0') 100 0.0001 changing lr epoch 252, time 215.16, cls_loss 0.0008 cls_loss_mapping 0.0021 cls_loss_causal 0.4999 re_mapping 0.0043 re_causal 0.0141 /// teacc 98.95 lr 0.00010000 Epoch 254, weight, value: tensor([[-0.1262, -0.1476, -0.1021, ..., -0.1504, -0.0154, 0.0787], [ 0.0648, 0.0623, 0.0493, ..., 0.1061, -0.1752, -0.0558], [ 0.0545, 0.0193, -0.1524, ..., -0.0474, -0.2137, -0.0875], ..., [-0.0523, -0.1393, 0.0901, ..., -0.1286, -0.0543, 0.0027], [ 0.0207, 0.1006, 0.1560, ..., -0.1372, -0.1451, -0.2245], [-0.1629, 0.0178, -0.2662, ..., -0.1393, -0.1058, 0.1113]], device='cuda:0'), grad: tensor([[ 6.9849e-09, 1.6158e-07, 7.7765e-08, ..., 1.0524e-07, 9.4995e-08, -1.2107e-08], [-4.6100e-08, 2.4680e-08, -3.2596e-08, ..., -2.9337e-08, 4.1910e-08, 1.0245e-08], [ 2.0489e-08, 8.8941e-08, 5.1223e-08, ..., 6.4261e-08, 5.0291e-08, 3.7253e-09], ..., [ 3.0268e-08, 2.8871e-08, 1.9092e-08, ..., 2.4680e-08, 6.5193e-09, 5.6811e-08], [ 1.7229e-08, 2.3469e-06, 1.1008e-06, ..., 1.5600e-06, 1.4342e-06, 3.3528e-08], [ 2.7008e-08, -2.7008e-08, 2.2352e-08, ..., 1.3504e-08, 8.8476e-09, -1.3737e-07]], device='cuda:0') Epoch 254, bias, value: tensor([-0.0007, -0.0171, -0.0297, 0.0361, -0.0295, 0.0285, -0.0195, -0.0106, 0.0048, -0.0246], device='cuda:0'), grad: tensor([ 4.9407e-07, 9.4064e-08, 3.2457e-07, -1.9092e-08, 5.4017e-07, 3.9535e-07, -9.3207e-06, 2.0163e-07, 7.4394e-06, -1.1828e-07], device='cuda:0') 100 0.0001 changing lr epoch 253, time 214.86, cls_loss 0.0012 cls_loss_mapping 0.0028 cls_loss_causal 0.4712 re_mapping 0.0045 re_causal 0.0135 /// teacc 98.98 lr 0.00010000 Epoch 255, weight, value: tensor([[-0.1262, -0.1478, -0.1022, ..., -0.1505, -0.0154, 0.0788], [ 0.0648, 0.0623, 0.0492, ..., 0.1064, -0.1753, -0.0562], [ 0.0579, 0.0193, -0.1481, ..., -0.0475, -0.2139, -0.0872], ..., [-0.0550, -0.1395, 0.0878, ..., -0.1289, -0.0543, 0.0027], [ 0.0209, 0.1032, 0.1584, ..., -0.1376, -0.1451, -0.2250], [-0.1644, 0.0166, -0.2690, ..., -0.1404, -0.1066, 0.1113]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 8.3819e-09, 7.4506e-09, ..., 9.3132e-10, 1.6764e-08, 3.2596e-09], [-2.5611e-08, -2.2352e-08, -4.6566e-08, ..., -3.0734e-08, 2.7940e-09, 1.2107e-08], [ 4.6566e-09, 5.1223e-09, 1.2573e-08, ..., 4.6566e-09, 4.6566e-10, 2.3283e-09], ..., [ 1.3039e-08, 1.6764e-08, 2.7940e-09, ..., 1.3039e-08, 9.3132e-10, 2.7940e-08], [-1.8626e-08, -1.0245e-08, -1.4901e-08, ..., 5.1223e-09, 1.3970e-08, 4.9360e-08], [ 9.3132e-09, -3.3528e-08, 9.3132e-09, ..., 1.7229e-08, 1.0710e-08, -4.3912e-07]], device='cuda:0') Epoch 255, bias, value: tensor([-0.0006, -0.0174, -0.0257, 0.0358, -0.0291, 0.0287, -0.0197, -0.0141, 0.0067, -0.0252], device='cuda:0'), grad: tensor([ 5.3085e-08, -6.7521e-08, 3.7719e-08, 1.0664e-07, 7.1153e-07, 1.0245e-07, -5.9139e-08, 7.7300e-08, -7.6834e-08, -8.7311e-07], device='cuda:0') 100 0.0001 changing lr epoch 254, time 214.53, cls_loss 0.0011 cls_loss_mapping 0.0020 cls_loss_causal 0.5074 re_mapping 0.0043 re_causal 0.0130 /// teacc 98.97 lr 0.00010000 Epoch 256, weight, value: tensor([[-0.1263, -0.1478, -0.1023, ..., -0.1506, -0.0154, 0.0788], [ 0.0647, 0.0624, 0.0492, ..., 0.1066, -0.1756, -0.0565], [ 0.0581, 0.0193, -0.1480, ..., -0.0477, -0.2143, -0.0874], ..., [-0.0551, -0.1399, 0.0878, ..., -0.1288, -0.0544, 0.0027], [ 0.0208, 0.1032, 0.1590, ..., -0.1379, -0.1457, -0.2256], [-0.1647, 0.0167, -0.2693, ..., -0.1406, -0.1067, 0.1114]], device='cuda:0'), grad: tensor([[ 8.3819e-09, 1.2107e-08, 6.5193e-09, ..., 2.7940e-09, 4.4983e-07, -8.9593e-07], [-3.2596e-08, -6.0536e-09, 1.5367e-08, ..., -4.1910e-08, 3.1199e-07, 5.5600e-07], [-1.3448e-06, 1.1642e-08, -3.2131e-08, ..., 1.3504e-08, 6.9384e-08, 3.1292e-07], ..., [ 3.7719e-08, 1.7229e-08, -3.0128e-07, ..., 2.7008e-08, 1.4203e-07, 2.4540e-07], [ 1.1967e-06, -2.0210e-07, -1.2573e-08, ..., -5.0291e-08, 7.2969e-07, 8.8243e-07], [ 9.7789e-09, 7.9628e-08, 4.9360e-08, ..., 2.0582e-07, 1.5208e-06, 2.1271e-06]], device='cuda:0') Epoch 256, bias, value: tensor([-0.0006, -0.0175, -0.0256, 0.0356, -0.0292, 0.0292, -0.0200, -0.0141, 0.0066, -0.0252], device='cuda:0'), grad: tensor([-5.5274e-07, 1.7453e-06, -1.5683e-06, 7.0715e-04, -3.7532e-07, -7.2384e-04, 4.8988e-06, 1.7835e-07, 4.9472e-06, 7.3910e-06], device='cuda:0') 100 0.0001 changing lr epoch 255, time 215.10, cls_loss 0.0009 cls_loss_mapping 0.0019 cls_loss_causal 0.4510 re_mapping 0.0043 re_causal 0.0131 /// teacc 98.96 lr 0.00010000 Epoch 257, weight, value: tensor([[-0.1260, -0.1479, -0.1019, ..., -0.1504, -0.0152, 0.0789], [ 0.0648, 0.0624, 0.0492, ..., 0.1064, -0.1759, -0.0567], [ 0.0581, 0.0194, -0.1482, ..., -0.0474, -0.2146, -0.0878], ..., [-0.0550, -0.1401, 0.0880, ..., -0.1290, -0.0545, 0.0028], [ 0.0207, 0.1029, 0.1592, ..., -0.1385, -0.1464, -0.2261], [-0.1648, 0.0166, -0.2695, ..., -0.1409, -0.1069, 0.1114]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 7.9162e-09, 4.6566e-09, ..., 9.3132e-10, 9.7789e-09, 9.3132e-09], [-6.9849e-09, 2.5611e-08, 4.1910e-08, ..., -2.0955e-08, 1.6298e-08, 1.4435e-08], [-2.8871e-08, 2.3283e-09, 8.4285e-08, ..., 4.1910e-09, 3.2596e-09, 6.5193e-09], ..., [ 6.9849e-09, 6.5193e-09, -2.0862e-07, ..., 6.9849e-09, 1.8626e-09, -3.7719e-08], [-2.2817e-08, -5.0757e-08, -3.4925e-08, ..., 5.1223e-09, 4.7963e-08, 1.3039e-08], [ 5.1223e-09, -5.5879e-09, 4.8894e-08, ..., 2.7940e-09, 9.3132e-09, -2.8405e-08]], device='cuda:0') Epoch 257, bias, value: tensor([-0.0005, -0.0176, -0.0256, 0.0346, -0.0291, 0.0297, -0.0201, -0.0141, 0.0062, -0.0252], device='cuda:0'), grad: tensor([ 4.9360e-08, 1.4296e-07, 6.3796e-08, 1.0310e-06, 1.0245e-07, -4.8848e-07, -5.2573e-07, -3.9255e-07, -2.6077e-08, 6.5658e-08], device='cuda:0') 100 0.0001 changing lr epoch 256, time 215.30, cls_loss 0.0012 cls_loss_mapping 0.0029 cls_loss_causal 0.5078 re_mapping 0.0042 re_causal 0.0130 /// teacc 98.96 lr 0.00010000 Epoch 258, weight, value: tensor([[-0.1262, -0.1481, -0.1021, ..., -0.1510, -0.0152, 0.0790], [ 0.0646, 0.0621, 0.0491, ..., 0.1059, -0.1763, -0.0572], [ 0.0582, 0.0199, -0.1482, ..., -0.0464, -0.2150, -0.0877], ..., [-0.0547, -0.1384, 0.0886, ..., -0.1293, -0.0542, 0.0030], [ 0.0190, 0.1014, 0.1561, ..., -0.1392, -0.1479, -0.2272], [-0.1653, 0.0164, -0.2700, ..., -0.1415, -0.1076, 0.1112]], device='cuda:0'), grad: tensor([[ 2.3283e-09, 1.3970e-09, 4.6566e-10, ..., 9.3132e-10, 1.7695e-08, 1.1642e-08], [-2.0489e-08, -9.7789e-09, 5.7276e-08, ..., -2.2352e-08, 7.9162e-09, 5.1223e-09], [-2.5611e-08, 3.7253e-09, 1.4435e-08, ..., 6.0536e-09, 2.3283e-09, 9.3132e-10], ..., [ 9.7789e-09, 4.1910e-09, -8.8941e-08, ..., 7.9162e-09, 1.4435e-08, 1.1176e-08], [-5.1223e-08, -2.6077e-08, -6.1467e-08, ..., 2.3283e-09, 6.2864e-08, 5.0291e-08], [ 4.1910e-09, -1.8626e-09, 1.1176e-08, ..., 1.1642e-08, 1.2573e-08, -7.4506e-09]], device='cuda:0') Epoch 258, bias, value: tensor([-0.0004, -0.0179, -0.0256, 0.0350, -0.0289, 0.0298, -0.0198, -0.0137, 0.0034, -0.0255], device='cuda:0'), grad: tensor([ 5.1223e-08, 1.9884e-07, -1.6298e-08, 2.9290e-07, -2.7940e-09, -5.3458e-07, 1.8394e-07, -2.1327e-07, -2.2817e-08, 5.2620e-08], device='cuda:0') 100 0.0001 changing lr epoch 257, time 215.00, cls_loss 0.0015 cls_loss_mapping 0.0025 cls_loss_causal 0.4720 re_mapping 0.0044 re_causal 0.0125 /// teacc 99.03 lr 0.00010000 Epoch 259, weight, value: tensor([[-0.1265, -0.1495, -0.1023, ..., -0.1531, -0.0176, 0.0787], [ 0.0648, 0.0618, 0.0490, ..., 0.1068, -0.1767, -0.0581], [ 0.0577, 0.0200, -0.1486, ..., -0.0473, -0.2155, -0.0882], ..., [-0.0544, -0.1381, 0.0890, ..., -0.1308, -0.0544, 0.0037], [ 0.0199, 0.1033, 0.1570, ..., -0.1367, -0.1487, -0.2275], [-0.1658, 0.0164, -0.2706, ..., -0.1419, -0.1077, 0.1113]], device='cuda:0'), grad: tensor([[ 1.1176e-08, 1.4435e-08, 2.3749e-08, ..., 8.8476e-09, 6.0536e-09, 1.2107e-08], [-6.7521e-08, -2.5611e-08, 7.6834e-08, ..., 3.5390e-07, 6.0210e-07, 3.1758e-07], [-5.9605e-08, 2.0023e-08, 3.7719e-08, ..., 2.5611e-08, 3.7253e-09, 6.5193e-09], ..., [ 1.1874e-07, 4.9826e-08, 2.9802e-08, ..., 7.4971e-08, 1.0245e-08, 1.3039e-08], [-4.1910e-09, -2.4401e-07, -4.8941e-07, ..., 9.8720e-08, 1.0850e-07, -1.5274e-07], [ 1.8161e-08, 1.2657e-06, 3.8557e-07, ..., 1.5749e-06, 4.5495e-07, 1.4249e-07]], device='cuda:0') Epoch 259, bias, value: tensor([-0.0009, -0.0181, -0.0259, 0.0326, -0.0290, 0.0316, -0.0199, -0.0134, 0.0041, -0.0255], device='cuda:0'), grad: tensor([ 1.0151e-07, 1.2917e-06, -8.1956e-08, -1.8906e-07, -6.2138e-06, -2.9802e-06, 1.7760e-06, 3.5204e-07, -8.2701e-07, 6.7949e-06], device='cuda:0') 100 0.0001 changing lr epoch 258, time 215.11, cls_loss 0.0013 cls_loss_mapping 0.0032 cls_loss_causal 0.4673 re_mapping 0.0043 re_causal 0.0123 /// teacc 99.09 lr 0.00010000 Epoch 260, weight, value: tensor([[-0.1269, -0.1496, -0.1026, ..., -0.1533, -0.0175, 0.0788], [ 0.0645, 0.0625, 0.0493, ..., 0.1063, -0.1776, -0.0586], [ 0.0588, 0.0204, -0.1486, ..., -0.0451, -0.2169, -0.0885], ..., [-0.0547, -0.1391, 0.0889, ..., -0.1313, -0.0490, 0.0048], [ 0.0187, 0.1031, 0.1568, ..., -0.1374, -0.1491, -0.2279], [-0.1662, 0.0160, -0.2730, ..., -0.1424, -0.1086, 0.1112]], device='cuda:0'), grad: tensor([[ 5.1223e-09, 5.4110e-07, 1.8626e-09, ..., 9.2667e-08, 6.6729e-07, -2.7474e-08], [-4.4703e-08, 3.2596e-09, -3.7253e-08, ..., -3.9581e-08, 3.3528e-08, 1.3830e-07], [ 1.3970e-09, 1.7695e-08, 2.7474e-08, ..., -2.7940e-08, 2.5611e-08, 1.4901e-08], ..., [ 5.0291e-08, 3.3993e-08, -1.3271e-07, ..., 3.3993e-08, 8.8476e-09, -4.4703e-08], [-6.8452e-08, 5.7463e-07, -8.1956e-08, ..., 1.0571e-07, 7.6462e-07, 2.6077e-08], [ 1.6764e-08, -1.1642e-08, 9.2201e-08, ..., 1.8626e-08, 6.8918e-08, -5.1642e-07]], device='cuda:0') Epoch 260, bias, value: tensor([-0.0009, -0.0183, -0.0257, 0.0329, -0.0290, 0.0314, -0.0199, -0.0133, 0.0035, -0.0259], device='cuda:0'), grad: tensor([ 2.2110e-06, 3.2689e-07, 1.5134e-07, -1.9595e-06, 9.4343e-07, 6.2361e-06, -9.4771e-06, -1.8999e-07, 2.2985e-06, -5.6718e-07], device='cuda:0') 100 0.0001 changing lr epoch 259, time 215.07, cls_loss 0.0011 cls_loss_mapping 0.0022 cls_loss_causal 0.4846 re_mapping 0.0042 re_causal 0.0127 /// teacc 99.10 lr 0.00010000 Epoch 261, weight, value: tensor([[-0.1270, -0.1497, -0.1027, ..., -0.1537, -0.0177, 0.0787], [ 0.0648, 0.0632, 0.0495, ..., 0.1074, -0.1778, -0.0588], [ 0.0586, 0.0201, -0.1487, ..., -0.0457, -0.2186, -0.0892], ..., [-0.0549, -0.1403, 0.0888, ..., -0.1340, -0.0495, 0.0044], [ 0.0186, 0.1030, 0.1571, ..., -0.1377, -0.1500, -0.2287], [-0.1663, 0.0158, -0.2735, ..., -0.1437, -0.1090, 0.1114]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 1.3970e-09, 4.6566e-10, ..., 9.3132e-10, -1.9614e-06, -3.2578e-06], [-2.2352e-08, -1.9092e-08, -4.0978e-08, ..., -2.0489e-08, 6.5658e-08, 1.0850e-07], [-1.2014e-07, 2.3283e-09, 2.7940e-09, ..., 2.7940e-09, 5.7742e-08, 9.4529e-08], ..., [ 1.0896e-07, 1.0710e-08, 2.0955e-08, ..., 1.2573e-08, 3.6322e-08, 6.2399e-08], [ 5.1223e-09, 1.2573e-08, 1.8626e-09, ..., 8.8476e-09, 9.8255e-08, 1.4948e-07], [ 4.1910e-09, -1.3970e-09, 4.6566e-09, ..., 1.4435e-08, 6.6310e-07, 1.0878e-06]], device='cuda:0') Epoch 261, bias, value: tensor([-0.0009, -0.0181, -0.0258, 0.0329, -0.0288, 0.0319, -0.0201, -0.0134, 0.0032, -0.0259], device='cuda:0'), grad: tensor([-1.0714e-05, 2.9989e-07, 6.4261e-08, 5.2061e-07, 7.5903e-08, 1.4780e-06, 3.6955e-06, 4.1071e-07, 5.2759e-07, 3.6433e-06], device='cuda:0') 100 0.0001 changing lr epoch 260, time 215.07, cls_loss 0.0013 cls_loss_mapping 0.0024 cls_loss_causal 0.4797 re_mapping 0.0042 re_causal 0.0126 /// teacc 98.95 lr 0.00010000 Epoch 262, weight, value: tensor([[-0.1273, -0.1504, -0.1029, ..., -0.1546, -0.0181, 0.0787], [ 0.0650, 0.0634, 0.0499, ..., 0.1078, -0.1787, -0.0592], [ 0.0586, 0.0197, -0.1488, ..., -0.0466, -0.2205, -0.0894], ..., [-0.0551, -0.1407, 0.0887, ..., -0.1346, -0.0497, 0.0042], [ 0.0198, 0.1061, 0.1579, ..., -0.1377, -0.1474, -0.2258], [-0.1666, 0.0158, -0.2737, ..., -0.1442, -0.1091, 0.1116]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 7.9162e-09, 2.8871e-08, ..., 9.4064e-08, -1.0431e-07, -3.7206e-07], [-4.1910e-09, 1.3504e-08, 9.6858e-07, ..., 3.3323e-06, 2.8163e-06, 6.3470e-07], [-1.3970e-09, 2.4214e-08, 9.9652e-08, ..., 1.6158e-07, 2.1746e-07, 4.4657e-07], ..., [ 1.8626e-09, 2.6543e-08, -4.1444e-08, ..., 2.9476e-07, 9.8869e-06, 4.9889e-05], [-1.2107e-08, -3.5129e-06, -5.3979e-06, ..., 1.1651e-06, 9.7603e-07, 1.5460e-07], [ 3.7253e-09, -6.4308e-07, 5.0338e-07, ..., 1.2303e-06, -9.2238e-06, -5.4806e-05]], device='cuda:0') Epoch 262, bias, value: tensor([-0.0010, -0.0179, -0.0258, 0.0323, -0.0288, 0.0304, -0.0204, -0.0135, 0.0063, -0.0258], device='cuda:0'), grad: tensor([-3.0082e-07, 7.4431e-06, 1.4640e-06, 3.1013e-06, -9.5889e-06, 1.5855e-05, 1.1846e-06, 1.2314e-04, -1.1228e-05, -1.3149e-04], device='cuda:0') 100 0.0001 changing lr epoch 261, time 214.77, cls_loss 0.0012 cls_loss_mapping 0.0021 cls_loss_causal 0.4742 re_mapping 0.0041 re_causal 0.0126 /// teacc 99.06 lr 0.00010000 Epoch 263, weight, value: tensor([[-0.1274, -0.1536, -0.1031, ..., -0.1563, -0.0210, 0.0784], [ 0.0651, 0.0633, 0.0499, ..., 0.1081, -0.1790, -0.0596], [ 0.0587, 0.0196, -0.1488, ..., -0.0472, -0.2226, -0.0898], ..., [-0.0552, -0.1410, 0.0887, ..., -0.1354, -0.0507, 0.0037], [ 0.0201, 0.1061, 0.1582, ..., -0.1378, -0.1478, -0.2260], [-0.1668, 0.0157, -0.2742, ..., -0.1450, -0.1093, 0.1117]], device='cuda:0'), grad: tensor([[ 1.1642e-08, 9.3132e-09, 6.0536e-09, ..., 4.6566e-09, -4.2049e-07, -7.7114e-07], [-7.4506e-09, -6.2864e-08, -1.7043e-07, ..., -4.4238e-08, 2.7940e-08, -3.6787e-08], [-4.2748e-07, 1.7229e-08, 2.3749e-08, ..., 5.5879e-09, 3.3528e-08, 5.4482e-08], ..., [ 3.7299e-07, 3.3062e-08, -1.4901e-08, ..., 2.3283e-08, 1.8626e-08, 3.3993e-08], [-1.5367e-08, -1.4901e-08, -1.5367e-08, ..., 1.4901e-08, 7.0315e-08, 9.4995e-08], [ 2.1886e-08, 8.7544e-08, 1.3178e-07, ..., 1.1874e-07, 6.9849e-08, 7.9628e-08]], device='cuda:0') Epoch 263, bias, value: tensor([-0.0021, -0.0179, -0.0259, 0.0312, -0.0296, 0.0315, -0.0192, -0.0135, 0.0063, -0.0257], device='cuda:0'), grad: tensor([-1.3532e-06, -2.0629e-07, -1.4305e-06, 7.3109e-07, -2.2631e-07, -1.7956e-06, 2.0470e-06, 1.3728e-06, 2.3935e-07, 6.2445e-07], device='cuda:0') 100 0.0001 changing lr epoch 262, time 215.23, cls_loss 0.0010 cls_loss_mapping 0.0019 cls_loss_causal 0.4849 re_mapping 0.0040 re_causal 0.0125 /// teacc 99.03 lr 0.00010000 Epoch 264, weight, value: tensor([[-0.1275, -0.1537, -0.1032, ..., -0.1563, -0.0210, 0.0785], [ 0.0653, 0.0640, 0.0500, ..., 0.1093, -0.1794, -0.0599], [ 0.0586, 0.0195, -0.1489, ..., -0.0480, -0.2231, -0.0901], ..., [-0.0553, -0.1419, 0.0887, ..., -0.1369, -0.0510, 0.0039], [ 0.0198, 0.1060, 0.1581, ..., -0.1384, -0.1481, -0.2261], [-0.1670, 0.0156, -0.2748, ..., -0.1456, -0.1096, 0.1117]], device='cuda:0'), grad: tensor([[ 2.6543e-08, 5.7276e-08, 1.7229e-08, ..., 1.1642e-08, 2.7008e-08, -6.8918e-08], [-1.9651e-06, -1.0040e-06, -1.9576e-06, ..., -6.6310e-07, 3.5390e-08, 1.4901e-08], [ 1.7239e-06, 6.8126e-07, 1.3653e-06, ..., 3.6042e-07, 1.3039e-08, 1.3504e-08], ..., [ 5.4063e-07, 2.5611e-07, -6.0536e-09, ..., 1.9465e-07, 9.3132e-10, -5.0291e-08], [ 9.1270e-08, 1.1921e-07, 5.2620e-08, ..., 6.5193e-08, 9.7789e-08, 1.9558e-08], [ 4.1444e-08, 2.7008e-08, 1.7043e-07, ..., 1.3039e-08, 1.0245e-08, 3.9116e-08]], device='cuda:0') Epoch 264, bias, value: tensor([-0.0020, -0.0178, -0.0259, 0.0301, -0.0296, 0.0322, -0.0192, -0.0136, 0.0061, -0.0258], device='cuda:0'), grad: tensor([ 8.8941e-08, -3.7886e-06, 4.4890e-06, -2.5388e-06, 1.2573e-07, 1.2061e-06, -8.4471e-07, 2.5146e-07, 5.7509e-07, 4.3679e-07], device='cuda:0') 100 0.0001 changing lr epoch 263, time 215.24, cls_loss 0.0013 cls_loss_mapping 0.0030 cls_loss_causal 0.4891 re_mapping 0.0042 re_causal 0.0128 /// teacc 99.08 lr 0.00010000 Epoch 265, weight, value: tensor([[-0.1274, -0.1536, -0.1034, ..., -0.1563, -0.0209, 0.0788], [ 0.0660, 0.0658, 0.0505, ..., 0.1126, -0.1796, -0.0599], [ 0.0587, 0.0194, -0.1489, ..., -0.0489, -0.2237, -0.0903], ..., [-0.0554, -0.1430, 0.0887, ..., -0.1384, -0.0511, 0.0038], [ 0.0196, 0.1060, 0.1580, ..., -0.1397, -0.1483, -0.2262], [-0.1677, 0.0134, -0.2755, ..., -0.1507, -0.1110, 0.1116]], device='cuda:0'), grad: tensor([[ 1.8720e-07, 3.4785e-07, 1.4808e-07, ..., 2.4447e-07, 6.0955e-07, 5.4017e-08], [-9.2667e-08, 1.1921e-07, -6.7754e-07, ..., -1.7323e-07, 3.3993e-08, 1.0245e-08], [-9.6411e-06, -1.0267e-05, 9.1735e-08, ..., 2.5574e-06, 9.1866e-06, 1.1642e-08], ..., [ 2.0536e-07, 2.2911e-07, 1.0710e-07, ..., 7.9162e-08, 1.3970e-08, 3.7253e-09], [ 7.5102e-06, 1.0483e-05, -6.4727e-08, ..., 1.3178e-06, 9.5926e-08, 5.1223e-09], [ 2.2771e-07, 4.9872e-07, 1.8766e-07, ..., 4.5868e-07, 9.5740e-07, 1.1036e-07]], device='cuda:0') Epoch 265, bias, value: tensor([-0.0017, -0.0172, -0.0259, 0.0301, -0.0261, 0.0320, -0.0194, -0.0136, 0.0060, -0.0277], device='cuda:0'), grad: tensor([ 1.7146e-06, -2.3190e-07, -7.6517e-06, 3.0566e-06, -2.0742e-05, 6.9514e-06, -5.7332e-06, 5.7789e-07, 1.9357e-05, 2.7530e-06], device='cuda:0') 100 0.0001 changing lr epoch 264, time 215.07, cls_loss 0.0013 cls_loss_mapping 0.0026 cls_loss_causal 0.4814 re_mapping 0.0042 re_causal 0.0125 /// teacc 99.08 lr 0.00010000 Epoch 266, weight, value: tensor([[-0.1278, -0.1542, -0.1036, ..., -0.1577, -0.0217, 0.0788], [ 0.0660, 0.0655, 0.0505, ..., 0.1126, -0.1798, -0.0602], [ 0.0589, 0.0193, -0.1490, ..., -0.0493, -0.2256, -0.0922], ..., [-0.0555, -0.1435, 0.0887, ..., -0.1389, -0.0512, 0.0036], [ 0.0205, 0.1066, 0.1591, ..., -0.1391, -0.1484, -0.2266], [-0.1676, 0.0154, -0.2750, ..., -0.1512, -0.1110, 0.1123]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 2.7008e-08, 1.0710e-08, ..., 1.4435e-08, 2.7474e-08, -1.3178e-07], [-1.0990e-07, 1.9092e-08, 2.1867e-06, ..., 5.7137e-07, 3.3062e-08, 1.6764e-08], [ 3.7253e-08, 2.5146e-08, 8.7544e-08, ..., 3.0734e-08, 2.0489e-08, 1.3504e-08], ..., [ 7.3109e-08, -7.0315e-08, -3.7253e-06, ..., -1.0589e-06, 2.7940e-09, -1.6298e-08], [ 7.8697e-08, 1.7276e-07, 1.0021e-06, ..., 3.9907e-07, 2.4727e-07, 3.4925e-08], [ 8.8476e-09, 2.3749e-08, 1.8068e-07, ..., 3.2131e-08, 1.8626e-08, 6.9849e-08]], device='cuda:0') Epoch 266, bias, value: tensor([-0.0022, -0.0174, -0.0259, 0.0303, -0.0265, 0.0313, -0.0188, -0.0136, 0.0062, -0.0269], device='cuda:0'), grad: tensor([-1.4342e-07, 3.6620e-06, 2.4075e-07, -1.7975e-07, 5.4529e-07, -1.6056e-06, 7.8604e-07, -6.0834e-06, 2.3320e-06, 4.2329e-07], device='cuda:0') 100 0.0001 changing lr epoch 265, time 215.48, cls_loss 0.0011 cls_loss_mapping 0.0022 cls_loss_causal 0.4837 re_mapping 0.0041 re_causal 0.0124 /// teacc 99.04 lr 0.00010000 Epoch 267, weight, value: tensor([[-0.1279, -0.1544, -0.1036, ..., -0.1578, -0.0220, 0.0787], [ 0.0656, 0.0656, 0.0500, ..., 0.1126, -0.1801, -0.0606], [ 0.0587, 0.0191, -0.1490, ..., -0.0503, -0.2271, -0.0924], ..., [-0.0550, -0.1437, 0.0893, ..., -0.1382, -0.0513, 0.0040], [ 0.0207, 0.1062, 0.1591, ..., -0.1404, -0.1495, -0.2268], [-0.1680, 0.0154, -0.2776, ..., -0.1538, -0.1132, 0.1123]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 2.4680e-08, 3.7253e-08, ..., 3.5856e-08, -9.1735e-07, -3.8482e-06], [-2.3423e-07, -3.5390e-08, -8.3353e-08, ..., -1.0012e-07, 2.8405e-08, 9.2201e-08], [ 4.9826e-08, 2.0489e-08, 9.5461e-08, ..., 4.9826e-08, 2.9337e-08, 4.8429e-08], ..., [ 1.2293e-07, 2.4214e-08, -2.7986e-07, ..., 6.2399e-08, 1.1642e-08, 3.8650e-08], [ 1.3970e-08, 2.3609e-07, 9.1270e-08, ..., 1.3271e-07, 1.5926e-07, 9.7323e-08], [ 1.0245e-08, 4.1910e-09, 7.8231e-08, ..., 2.2352e-08, 1.2107e-07, 3.7905e-07]], device='cuda:0') Epoch 267, bias, value: tensor([-0.0024, -0.0183, -0.0260, 0.0304, -0.0253, 0.0312, -0.0181, -0.0132, 0.0058, -0.0278], device='cuda:0'), grad: tensor([-5.6624e-06, 4.1910e-08, 3.2317e-07, 2.1234e-07, -2.0722e-07, 3.9227e-06, 3.7253e-08, -4.5262e-07, 1.0412e-06, 7.4040e-07], device='cuda:0') 100 0.0001 changing lr epoch 266, time 215.44, cls_loss 0.0011 cls_loss_mapping 0.0018 cls_loss_causal 0.4880 re_mapping 0.0039 re_causal 0.0121 /// teacc 99.02 lr 0.00010000 Epoch 268, weight, value: tensor([[-0.1278, -0.1544, -0.1038, ..., -0.1578, -0.0220, 0.0789], [ 0.0657, 0.0658, 0.0500, ..., 0.1131, -0.1803, -0.0612], [ 0.0588, 0.0189, -0.1491, ..., -0.0509, -0.2286, -0.0933], ..., [-0.0551, -0.1440, 0.0894, ..., -0.1389, -0.0514, 0.0038], [ 0.0209, 0.1061, 0.1593, ..., -0.1406, -0.1502, -0.2270], [-0.1684, 0.0149, -0.2780, ..., -0.1541, -0.1136, 0.1124]], device='cuda:0'), grad: tensor([[ 9.3132e-10, -1.6764e-08, 1.8626e-09, ..., 4.6566e-10, -2.9337e-08, -1.8720e-06], [-7.3574e-08, -3.1199e-08, -6.0536e-09, ..., -6.1933e-08, 4.6566e-09, 1.8300e-07], [ 9.3132e-09, 5.5879e-09, 1.6112e-07, ..., 5.5879e-09, 3.7253e-09, 1.0338e-06], ..., [ 3.0734e-08, 2.1420e-08, -3.3388e-07, ..., 3.4459e-08, 2.7940e-09, -9.5926e-08], [ 1.0710e-08, 4.6566e-09, 3.6787e-08, ..., 1.0245e-08, 2.0955e-08, 8.5216e-08], [ 4.6566e-09, 6.5193e-09, 8.9873e-08, ..., 1.8626e-09, 1.7229e-08, 4.2794e-07]], device='cuda:0') Epoch 268, bias, value: tensor([-0.0023, -0.0184, -0.0260, 0.0303, -0.0250, 0.0311, -0.0180, -0.0131, 0.0057, -0.0280], device='cuda:0'), grad: tensor([-3.9414e-06, 2.8312e-07, 2.4848e-06, 1.0096e-06, 7.3574e-08, -7.8976e-07, 2.2678e-07, -5.5693e-07, 2.2259e-07, 9.8720e-07], device='cuda:0') 100 0.0001 changing lr epoch 267, time 214.86, cls_loss 0.0009 cls_loss_mapping 0.0018 cls_loss_causal 0.5120 re_mapping 0.0040 re_causal 0.0131 /// teacc 99.06 lr 0.00010000 Epoch 269, weight, value: tensor([[-0.1275, -0.1544, -0.1038, ..., -0.1578, -0.0219, 0.0790], [ 0.0662, 0.0659, 0.0508, ..., 0.1144, -0.1798, -0.0604], [ 0.0589, 0.0191, -0.1491, ..., -0.0511, -0.2293, -0.0932], ..., [-0.0555, -0.1443, 0.0889, ..., -0.1411, -0.0522, 0.0034], [ 0.0206, 0.1058, 0.1593, ..., -0.1409, -0.1509, -0.2273], [-0.1689, 0.0149, -0.2787, ..., -0.1543, -0.1140, 0.1123]], device='cuda:0'), grad: tensor([[-1.2666e-07, 3.6322e-08, 3.2596e-09, ..., 6.0536e-09, -1.9418e-07, -6.8964e-07], [-6.9849e-09, 1.2107e-08, 1.3225e-07, ..., 2.4214e-08, 8.5216e-08, 6.7521e-08], [-6.3796e-08, 2.0023e-08, 1.8161e-08, ..., -1.8626e-08, 2.1886e-08, 5.4482e-08], ..., [ 1.7695e-08, 1.1642e-08, -3.6228e-07, ..., -8.1025e-08, -1.6112e-07, -8.1491e-08], [-2.4866e-06, -6.6906e-06, 3.7253e-09, ..., 7.4506e-09, -1.8571e-06, -1.6931e-06], [ 9.6858e-08, -1.2573e-08, 7.5437e-08, ..., 3.7253e-08, 1.8347e-07, -5.4017e-08]], device='cuda:0') Epoch 269, bias, value: tensor([-0.0021, -0.0175, -0.0260, 0.0303, -0.0248, 0.0311, -0.0179, -0.0133, 0.0054, -0.0283], device='cuda:0'), grad: tensor([-1.4678e-06, 7.9488e-07, 9.3132e-08, 3.5297e-07, 1.4585e-06, 2.2218e-05, 9.5740e-07, -1.5479e-06, -2.3067e-05, 2.4773e-07], device='cuda:0') 100 0.0001 changing lr epoch 268, time 215.49, cls_loss 0.0010 cls_loss_mapping 0.0021 cls_loss_causal 0.4848 re_mapping 0.0039 re_causal 0.0125 /// teacc 98.98 lr 0.00010000 Epoch 270, weight, value: tensor([[-0.1275, -0.1544, -0.1041, ..., -0.1578, -0.0219, 0.0791], [ 0.0667, 0.0665, 0.0513, ..., 0.1158, -0.1801, -0.0599], [ 0.0588, 0.0191, -0.1493, ..., -0.0518, -0.2299, -0.0934], ..., [-0.0558, -0.1452, 0.0887, ..., -0.1425, -0.0521, 0.0032], [ 0.0212, 0.1060, 0.1597, ..., -0.1420, -0.1512, -0.2274], [-0.1704, 0.0141, -0.2804, ..., -0.1552, -0.1146, 0.1122]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 2.7940e-09, 8.8476e-09, ..., 6.9849e-09, 1.8626e-09, -1.2573e-08], [-2.6589e-07, -1.1828e-07, -2.3702e-07, ..., -1.5926e-07, 3.2596e-08, 2.3749e-08], [ 5.9605e-08, 2.5146e-08, 1.6624e-07, ..., 8.3819e-08, 2.8871e-08, 2.8871e-08], ..., [ 8.8941e-08, 4.1444e-08, -1.7695e-07, ..., 2.3143e-07, 1.3551e-07, -7.9628e-08], [ 3.9116e-08, 1.8161e-08, 5.8673e-08, ..., 2.8405e-08, 1.3970e-09, 8.8476e-09], [ 1.8626e-08, 4.1910e-09, 7.4506e-08, ..., 6.6590e-08, 4.2841e-08, 1.1176e-08]], device='cuda:0') Epoch 270, bias, value: tensor([-0.0020, -0.0171, -0.0261, 0.0309, -0.0243, 0.0309, -0.0179, -0.0135, 0.0055, -0.0287], device='cuda:0'), grad: tensor([-8.3819e-09, -3.4552e-07, 4.7311e-07, 3.4459e-08, -6.5146e-07, 7.1712e-08, 7.9162e-08, -7.6834e-08, 1.4063e-07, 2.9569e-07], device='cuda:0') 100 0.0001 changing lr epoch 269, time 215.14, cls_loss 0.0012 cls_loss_mapping 0.0021 cls_loss_causal 0.4851 re_mapping 0.0040 re_causal 0.0120 /// teacc 99.00 lr 0.00010000 Epoch 271, weight, value: tensor([[-0.1267, -0.1546, -0.1033, ..., -0.1576, -0.0217, 0.0793], [ 0.0670, 0.0675, 0.0514, ..., 0.1166, -0.1806, -0.0600], [ 0.0579, 0.0187, -0.1495, ..., -0.0532, -0.2330, -0.0941], ..., [-0.0553, -0.1441, 0.0896, ..., -0.1431, -0.0523, 0.0033], [ 0.0192, 0.1056, 0.1575, ..., -0.1414, -0.1509, -0.2276], [-0.1708, 0.0142, -0.2807, ..., -0.1554, -0.1149, 0.1123]], device='cuda:0'), grad: tensor([[ 1.7695e-08, 1.0710e-08, 9.3132e-09, ..., 1.0245e-08, 9.3132e-09, -3.1199e-08], [-1.3458e-07, -7.5437e-08, -1.5646e-07, ..., -1.2480e-07, 1.0245e-08, 6.9849e-09], [-2.7614e-07, 1.6764e-08, 2.7940e-08, ..., 3.6322e-08, 1.1642e-08, 5.1223e-09], ..., [ 2.9616e-07, 3.0734e-08, 2.2352e-08, ..., 5.3551e-08, 3.2596e-09, -1.6298e-08], [ 1.6298e-08, -5.5879e-09, -2.5146e-08, ..., 1.1642e-08, 2.8405e-08, 2.3283e-09], [ 2.0955e-08, 2.5611e-08, 2.9337e-08, ..., 9.8720e-08, 4.0978e-08, 1.8626e-08]], device='cuda:0') Epoch 271, bias, value: tensor([-0.0017, -0.0169, -0.0265, 0.0315, -0.0244, 0.0310, -0.0183, -0.0129, 0.0042, -0.0287], device='cuda:0'), grad: tensor([ 8.5682e-08, -2.2538e-07, -6.0024e-07, -3.9348e-07, -1.5087e-07, 8.8755e-07, -7.3714e-07, 7.1991e-07, 1.4948e-07, 2.7660e-07], device='cuda:0') 100 0.0001 changing lr epoch 270, time 214.88, cls_loss 0.0011 cls_loss_mapping 0.0019 cls_loss_causal 0.5156 re_mapping 0.0040 re_causal 0.0127 /// teacc 98.98 lr 0.00010000 Epoch 272, weight, value: tensor([[-0.1269, -0.1546, -0.1035, ..., -0.1576, -0.0217, 0.0794], [ 0.0669, 0.0676, 0.0514, ..., 0.1170, -0.1807, -0.0602], [ 0.0587, 0.0195, -0.1494, ..., -0.0521, -0.2333, -0.0943], ..., [-0.0554, -0.1444, 0.0897, ..., -0.1438, -0.0525, 0.0036], [ 0.0177, 0.1057, 0.1573, ..., -0.1425, -0.1509, -0.2277], [-0.1710, 0.0144, -0.2811, ..., -0.1554, -0.1149, 0.1124]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 4.6566e-09, 2.3283e-09, ..., 2.3283e-09, -1.1828e-07, -4.3167e-07], [ 3.7253e-08, 2.0955e-08, 2.7940e-08, ..., 1.3504e-08, 4.0513e-08, 6.3796e-08], [-2.7008e-08, 9.3132e-10, 4.1910e-09, ..., -3.2596e-09, 7.4506e-09, 1.6764e-08], ..., [ 7.4506e-09, 9.3132e-10, -2.3283e-09, ..., 9.3132e-10, 8.8476e-09, 1.9092e-08], [-1.3504e-08, 1.8626e-09, -2.2817e-08, ..., 6.9849e-09, 3.3528e-08, 2.7008e-08], [ 1.0245e-08, 3.7253e-09, 9.7789e-09, ..., 1.8626e-09, 5.8208e-08, 1.6065e-07]], device='cuda:0') Epoch 272, bias, value: tensor([-0.0016, -0.0170, -0.0263, 0.0309, -0.0246, 0.0310, -0.0184, -0.0128, 0.0042, -0.0287], device='cuda:0'), grad: tensor([-6.9849e-07, 2.6356e-07, -9.3132e-10, -4.1910e-08, 1.9092e-08, -9.9838e-07, 1.0505e-06, 5.4017e-08, 4.7963e-08, 3.1991e-07], device='cuda:0') 100 0.0001 changing lr epoch 271, time 215.13, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.5041 re_mapping 0.0040 re_causal 0.0131 /// teacc 99.00 lr 0.00010000 Epoch 273, weight, value: tensor([[-0.1289, -0.1552, -0.1037, ..., -0.1576, -0.0220, 0.0791], [ 0.0668, 0.0673, 0.0513, ..., 0.1172, -0.1811, -0.0610], [ 0.0589, 0.0197, -0.1494, ..., -0.0520, -0.2334, -0.0949], ..., [-0.0554, -0.1445, 0.0899, ..., -0.1434, -0.0526, 0.0039], [ 0.0180, 0.1062, 0.1576, ..., -0.1425, -0.1512, -0.2279], [-0.1690, 0.0153, -0.2819, ..., -0.1554, -0.1150, 0.1132]], device='cuda:0'), grad: tensor([[ 2.3283e-09, 9.3132e-10, 1.3970e-09, ..., 1.3970e-09, -6.3330e-06, -1.6242e-05], [-8.8476e-08, -6.6590e-08, -1.4342e-07, ..., -1.1548e-07, 9.3598e-08, 2.4913e-07], [-7.9162e-09, 6.0536e-09, 1.0710e-08, ..., 1.1176e-08, 3.3062e-08, 8.1025e-08], ..., [ 3.8650e-08, 2.9337e-08, 4.9826e-08, ..., 4.9360e-08, 1.4901e-08, 3.1665e-08], [-9.7789e-09, -1.2107e-08, -1.3970e-08, ..., 9.3132e-09, 3.6787e-08, 1.0012e-07], [ 5.1223e-09, -8.3819e-09, 9.3132e-09, ..., 9.7789e-09, 1.9744e-07, 4.7637e-07]], device='cuda:0') Epoch 273, bias, value: tensor([-0.0021, -0.0173, -0.0263, 0.0305, -0.0247, 0.0306, -0.0181, -0.0128, 0.0045, -0.0281], device='cuda:0'), grad: tensor([-3.3200e-05, 2.6356e-07, 1.6810e-07, 1.2480e-07, 1.1642e-07, 4.1723e-07, 3.0756e-05, 1.6857e-07, 1.6764e-07, 9.9652e-07], device='cuda:0') 100 0.0001 changing lr epoch 272, time 215.09, cls_loss 0.0013 cls_loss_mapping 0.0018 cls_loss_causal 0.4959 re_mapping 0.0042 re_causal 0.0129 /// teacc 98.97 lr 0.00010000 Epoch 274, weight, value: tensor([[-0.1295, -0.1552, -0.1040, ..., -0.1576, -0.0219, 0.0794], [ 0.0667, 0.0680, 0.0514, ..., 0.1179, -0.1837, -0.0630], [ 0.0587, 0.0189, -0.1495, ..., -0.0532, -0.2338, -0.0956], ..., [-0.0555, -0.1459, 0.0900, ..., -0.1465, -0.0535, 0.0043], [ 0.0185, 0.1066, 0.1578, ..., -0.1429, -0.1514, -0.2280], [-0.1691, 0.0131, -0.2842, ..., -0.1577, -0.1154, 0.1124]], device='cuda:0'), grad: tensor([[ 3.0268e-07, 1.4110e-07, 1.5879e-07, ..., 6.1234e-08, 1.8626e-09, -8.5449e-08], [-2.5854e-06, -1.3160e-06, -1.5246e-06, ..., -5.2992e-07, 2.5611e-09, 1.6997e-08], [-8.9919e-07, 9.7323e-08, 1.2526e-07, ..., 5.1688e-08, 1.8626e-09, 1.6997e-08], ..., [ 6.7148e-07, 3.1665e-08, -1.9558e-08, ..., 3.1432e-08, 1.6298e-09, -6.3097e-08], [ 2.5542e-07, 7.9628e-08, 8.8243e-08, ..., 3.7951e-08, 2.0955e-09, 1.9325e-08], [ 4.5868e-08, 2.8801e-07, 3.7719e-08, ..., 1.2498e-06, 2.0955e-07, 5.5227e-07]], device='cuda:0') Epoch 274, bias, value: tensor([-0.0019, -0.0177, -0.0264, 0.0295, -0.0222, 0.0314, -0.0183, -0.0127, 0.0047, -0.0298], device='cuda:0'), grad: tensor([ 5.9186e-07, -6.0275e-06, -2.1663e-06, 4.0140e-07, -2.7306e-06, 2.7264e-07, 4.6380e-06, 1.4966e-06, 6.6496e-07, 2.8666e-06], device='cuda:0') 100 0.0001 changing lr epoch 273, time 215.15, cls_loss 0.0011 cls_loss_mapping 0.0022 cls_loss_causal 0.4867 re_mapping 0.0042 re_causal 0.0128 /// teacc 98.96 lr 0.00010000 Epoch 275, weight, value: tensor([[-0.1298, -0.1553, -0.1042, ..., -0.1577, -0.0220, 0.0795], [ 0.0673, 0.0684, 0.0515, ..., 0.1195, -0.1838, -0.0639], [ 0.0585, 0.0181, -0.1497, ..., -0.0564, -0.2341, -0.0977], ..., [-0.0557, -0.1463, 0.0901, ..., -0.1474, -0.0539, 0.0056], [ 0.0185, 0.1066, 0.1580, ..., -0.1433, -0.1518, -0.2283], [-0.1694, 0.0121, -0.2847, ..., -0.1587, -0.1158, 0.1120]], device='cuda:0'), grad: tensor([[ 5.3504e-07, 2.9448e-06, 3.6694e-07, ..., 2.6310e-08, 2.5351e-06, 3.4366e-06], [ 1.1339e-07, 1.6927e-07, 1.3574e-07, ..., -6.5193e-09, 7.3342e-08, 1.0524e-07], [-4.8196e-08, 1.3970e-08, 3.2829e-08, ..., 1.8626e-09, 8.8476e-09, 2.5844e-08], ..., [ 1.6764e-08, 7.2177e-09, -1.4179e-07, ..., 5.1223e-09, 3.2596e-09, -8.9407e-08], [-1.1325e-06, 2.7474e-06, -8.9966e-07, ..., 1.0477e-08, 2.9523e-06, 3.8743e-06], [ 2.9593e-07, 4.9174e-07, 2.6519e-07, ..., 2.0955e-09, 3.6461e-07, 5.2620e-07]], device='cuda:0') Epoch 275, bias, value: tensor([-0.0019, -0.0176, -0.0265, 0.0280, -0.0212, 0.0322, -0.0182, -0.0126, 0.0045, -0.0305], device='cuda:0'), grad: tensor([ 1.1817e-05, 7.3528e-07, -3.4925e-09, 3.0175e-07, 2.0117e-07, 5.1819e-06, -2.7299e-05, -3.3877e-07, 6.7316e-06, 2.6803e-06], device='cuda:0') 100 0.0001 changing lr epoch 274, time 214.83, cls_loss 0.0009 cls_loss_mapping 0.0022 cls_loss_causal 0.4844 re_mapping 0.0040 re_causal 0.0126 /// teacc 99.01 lr 0.00010000 Epoch 276, weight, value: tensor([[-0.1304, -0.1552, -0.1046, ..., -0.1579, -0.0220, 0.0798], [ 0.0673, 0.0680, 0.0515, ..., 0.1196, -0.1842, -0.0646], [ 0.0590, 0.0188, -0.1497, ..., -0.0555, -0.2337, -0.0963], ..., [-0.0560, -0.1465, 0.0901, ..., -0.1483, -0.0540, 0.0052], [ 0.0187, 0.1063, 0.1580, ..., -0.1439, -0.1527, -0.2287], [-0.1695, 0.0123, -0.2850, ..., -0.1587, -0.1159, 0.1120]], device='cuda:0'), grad: tensor([[-1.3458e-07, -1.9791e-08, 3.2363e-08, ..., -3.2829e-08, -2.1746e-07, -1.8626e-06], [-4.9826e-08, -2.7707e-08, -7.5204e-08, ..., -7.5670e-08, 1.8394e-08, 4.0513e-08], [-7.4040e-08, 9.0804e-09, 1.0151e-07, ..., 1.5134e-08, 1.2806e-08, 6.8685e-08], ..., [ 8.5216e-08, 1.1409e-08, 1.1339e-07, ..., 1.3737e-08, 9.3132e-09, 2.5379e-08], [-6.5425e-08, 1.9232e-07, -2.8359e-07, ..., 1.1642e-08, 3.9325e-07, 5.3039e-07], [ 1.0780e-07, 2.1118e-07, 2.5379e-08, ..., 3.0035e-08, 4.5612e-07, 1.4547e-06]], device='cuda:0') Epoch 276, bias, value: tensor([-0.0017, -0.0177, -0.0264, 0.0280, -0.0214, 0.0323, -0.0181, -0.0127, 0.0042, -0.0305], device='cuda:0'), grad: tensor([-2.9430e-06, -4.9127e-08, 1.1944e-07, 1.7765e-07, 8.9407e-08, -3.8445e-06, 2.6673e-06, 3.4645e-07, 6.6496e-07, 2.7735e-06], device='cuda:0') 100 0.0001 changing lr epoch 275, time 215.37, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.5021 re_mapping 0.0041 re_causal 0.0126 /// teacc 98.96 lr 0.00010000 Epoch 277, weight, value: tensor([[-0.1308, -0.1553, -0.1049, ..., -0.1568, -0.0206, 0.0803], [ 0.0675, 0.0685, 0.0516, ..., 0.1210, -0.1846, -0.0650], [ 0.0589, 0.0186, -0.1498, ..., -0.0561, -0.2339, -0.0968], ..., [-0.0560, -0.1468, 0.0902, ..., -0.1494, -0.0539, 0.0019], [ 0.0186, 0.1063, 0.1581, ..., -0.1445, -0.1530, -0.2289], [-0.1697, 0.0123, -0.2852, ..., -0.1588, -0.1160, 0.1129]], device='cuda:0'), grad: tensor([[ 2.3795e-07, 4.0513e-08, 3.8184e-08, ..., 2.3749e-08, -4.6566e-10, -2.8871e-08], [ 1.3066e-06, 3.5856e-07, 3.8277e-07, ..., 2.3656e-07, 9.3132e-10, 2.3283e-09], [-4.3102e-06, 2.4075e-07, 4.7637e-07, ..., 3.1106e-07, 4.6566e-10, 5.1223e-09], ..., [ 1.9092e-07, 2.9337e-08, 1.3970e-08, ..., 2.4680e-08, 4.6566e-10, -2.3283e-09], [ 5.5842e-06, 3.6275e-07, 2.1188e-07, ..., 1.7555e-07, 5.5879e-09, 8.8476e-09], [ 2.1085e-06, 2.5611e-08, 3.1199e-08, ..., 1.0245e-08, 1.8626e-09, 3.1758e-07]], device='cuda:0') Epoch 277, bias, value: tensor([-0.0003, -0.0176, -0.0264, 0.0283, -0.0216, 0.0323, -0.0198, -0.0130, 0.0041, -0.0298], device='cuda:0'), grad: tensor([ 6.4541e-07, 3.3733e-06, -1.2957e-05, -2.6047e-05, 3.4273e-07, 4.8093e-06, 2.3190e-07, 5.0897e-07, 1.6019e-05, 1.3039e-05], device='cuda:0') 100 0.0001 changing lr epoch 276, time 214.87, cls_loss 0.0011 cls_loss_mapping 0.0021 cls_loss_causal 0.4744 re_mapping 0.0041 re_causal 0.0125 /// teacc 99.10 lr 0.00010000 Epoch 278, weight, value: tensor([[-0.1302, -0.1553, -0.1038, ..., -0.1568, -0.0204, 0.0807], [ 0.0676, 0.0686, 0.0516, ..., 0.1212, -0.1853, -0.0653], [ 0.0590, 0.0184, -0.1499, ..., -0.0564, -0.2344, -0.0971], ..., [-0.0561, -0.1470, 0.0902, ..., -0.1494, -0.0540, 0.0015], [ 0.0181, 0.1057, 0.1579, ..., -0.1458, -0.1542, -0.2293], [-0.1700, 0.0124, -0.2854, ..., -0.1590, -0.1162, 0.1128]], device='cuda:0'), grad: tensor([[ 2.6543e-08, 2.9337e-08, 1.3039e-08, ..., 3.7253e-09, 2.7474e-08, -2.7008e-08], [ 4.0047e-08, 1.3458e-07, 1.0896e-07, ..., 2.7474e-08, 1.3411e-07, 4.3306e-08], [-4.8894e-07, -1.4901e-08, 1.1967e-07, ..., 6.0536e-09, 3.7253e-09, 4.6566e-09], ..., [ 9.4064e-08, 1.3970e-08, -3.3574e-07, ..., 6.6124e-08, 2.6543e-08, -3.2596e-09], [ 1.8580e-07, 2.8638e-07, 1.1548e-07, ..., 7.5903e-08, 2.3702e-07, 7.5437e-08], [ 5.5879e-09, 1.9558e-08, 2.5146e-08, ..., 2.5611e-07, 8.6147e-08, 1.5367e-08]], device='cuda:0') Epoch 278, bias, value: tensor([ 0.0003, -0.0179, -0.0265, 0.0291, -0.0217, 0.0323, -0.0198, -0.0131, 0.0034, -0.0299], device='cuda:0'), grad: tensor([ 8.1491e-08, 5.6392e-07, -7.6089e-07, 1.2014e-07, -1.3700e-06, 2.6263e-06, -3.4980e-06, -6.8918e-08, 1.2834e-06, 1.0096e-06], device='cuda:0') 100 0.0001 changing lr epoch 277, time 214.92, cls_loss 0.0011 cls_loss_mapping 0.0017 cls_loss_causal 0.5003 re_mapping 0.0042 re_causal 0.0129 /// teacc 99.02 lr 0.00010000 Epoch 279, weight, value: tensor([[-0.1308, -0.1554, -0.1036, ..., -0.1569, -0.0204, 0.0808], [ 0.0686, 0.0686, 0.0520, ..., 0.1240, -0.1856, -0.0651], [ 0.0583, 0.0189, -0.1501, ..., -0.0599, -0.2347, -0.0974], ..., [-0.0562, -0.1475, 0.0902, ..., -0.1498, -0.0541, 0.0015], [ 0.0182, 0.1058, 0.1581, ..., -0.1460, -0.1546, -0.2297], [-0.1706, 0.0095, -0.2858, ..., -0.1594, -0.1164, 0.1126]], device='cuda:0'), grad: tensor([[ 6.0536e-09, 2.4773e-07, 3.2596e-09, ..., 2.8796e-06, 2.0355e-05, 1.4223e-05], [-1.2573e-08, -2.7940e-09, -1.9092e-08, ..., -5.1223e-09, 1.3551e-07, 1.2945e-07], [-3.6322e-08, 6.0536e-09, 1.1176e-08, ..., 1.0245e-08, 6.8452e-08, 1.2107e-07], ..., [ 1.1642e-08, 5.1223e-09, -1.5832e-08, ..., 6.0536e-09, 3.3993e-08, 1.6671e-07], [-1.8626e-08, -9.2015e-07, -3.5297e-07, ..., -5.9139e-08, 3.8836e-07, 3.2783e-07], [ 4.6566e-09, 1.4435e-08, 2.1886e-08, ..., 2.4214e-08, 1.8813e-07, 2.5984e-07]], device='cuda:0') Epoch 279, bias, value: tensor([ 0.0005, -0.0173, -0.0266, 0.0293, -0.0192, 0.0323, -0.0200, -0.0131, 0.0032, -0.0322], device='cuda:0'), grad: tensor([ 6.6280e-05, 4.7451e-07, 2.2724e-07, 1.2061e-07, 9.0664e-07, 8.8140e-06, -7.7128e-05, 2.8359e-07, -7.9907e-07, 7.3202e-07], device='cuda:0') 100 0.0001 changing lr epoch 278, time 214.99, cls_loss 0.0012 cls_loss_mapping 0.0022 cls_loss_causal 0.4940 re_mapping 0.0040 re_causal 0.0119 /// teacc 99.06 lr 0.00010000 Epoch 280, weight, value: tensor([[-0.1312, -0.1552, -0.1024, ..., -0.1566, -0.0204, 0.0815], [ 0.0688, 0.0703, 0.0521, ..., 0.1268, -0.1858, -0.0656], [ 0.0581, 0.0186, -0.1503, ..., -0.0610, -0.2351, -0.0986], ..., [-0.0559, -0.1480, 0.0906, ..., -0.1490, -0.0541, 0.0018], [ 0.0183, 0.1058, 0.1582, ..., -0.1463, -0.1550, -0.2304], [-0.1710, 0.0094, -0.2868, ..., -0.1597, -0.1166, 0.1127]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 6.2864e-08, 2.5611e-08, ..., 1.0245e-08, 8.7544e-08, 9.3132e-09], [ 5.6671e-07, 2.1793e-07, 3.7104e-05, ..., 7.4506e-09, 9.3132e-09, 6.0536e-09], [-4.6566e-10, 8.3819e-09, 1.1930e-06, ..., 3.2596e-09, 3.7253e-09, 4.6566e-10], ..., [-5.8673e-07, -2.1793e-07, -3.9011e-05, ..., 2.0489e-08, 1.0245e-08, 1.1176e-08], [ 5.1223e-09, 1.1642e-08, 2.0256e-07, ..., 7.4506e-09, 1.4901e-08, 1.2107e-08], [ 4.1910e-09, 5.1223e-09, 2.5705e-07, ..., 3.9581e-08, 2.3749e-08, -1.9558e-08]], device='cuda:0') Epoch 280, bias, value: tensor([ 0.0014, -0.0174, -0.0268, 0.0291, -0.0195, 0.0318, -0.0203, -0.0127, 0.0030, -0.0322], device='cuda:0'), grad: tensor([ 2.9849e-07, 5.4181e-05, 1.7127e-06, 1.4156e-07, 4.6100e-08, 2.2352e-07, -5.3598e-07, -5.6833e-05, 3.6694e-07, 4.4284e-07], device='cuda:0') 100 0.0001 changing lr epoch 279, time 214.72, cls_loss 0.0010 cls_loss_mapping 0.0016 cls_loss_causal 0.4998 re_mapping 0.0040 re_causal 0.0129 /// teacc 98.99 lr 0.00010000 Epoch 281, weight, value: tensor([[-0.1316, -0.1551, -0.1025, ..., -0.1567, -0.0204, 0.0818], [ 0.0683, 0.0701, 0.0520, ..., 0.1275, -0.1866, -0.0679], [ 0.0591, 0.0180, -0.1504, ..., -0.0613, -0.2355, -0.0974], ..., [-0.0563, -0.1487, 0.0907, ..., -0.1502, -0.0546, 0.0017], [ 0.0192, 0.1065, 0.1586, ..., -0.1469, -0.1556, -0.2301], [-0.1737, 0.0093, -0.2873, ..., -0.1599, -0.1168, 0.1125]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 2.3283e-08, 9.3132e-10, ..., 4.6566e-10, 2.8871e-08, -1.1781e-07], [-1.9558e-08, -4.6566e-09, -1.4435e-08, ..., -2.0955e-08, 6.0536e-09, 6.9849e-09], [-2.9337e-08, 3.2596e-09, 5.3085e-08, ..., 8.8476e-09, 1.3970e-09, 1.4435e-08], ..., [ 2.9802e-08, 3.2596e-09, -7.5437e-08, ..., 4.1910e-09, 1.8626e-09, 8.8476e-09], [-3.2596e-08, -2.2212e-07, -3.4878e-07, ..., -1.8394e-07, -6.3330e-08, 2.4680e-08], [ 2.3283e-09, 9.3132e-10, 2.3749e-08, ..., 2.7940e-09, 4.1910e-09, 6.9849e-08]], device='cuda:0') Epoch 281, bias, value: tensor([ 0.0016, -0.0184, -0.0265, 0.0287, -0.0195, 0.0307, -0.0186, -0.0127, 0.0034, -0.0325], device='cuda:0'), grad: tensor([-1.1828e-07, -2.3283e-09, 4.0047e-08, 5.3085e-08, 4.7963e-08, 1.4855e-07, 1.4063e-07, -9.4529e-08, -3.6415e-07, 1.6252e-07], device='cuda:0') 100 0.0001 changing lr epoch 280, time 214.67, cls_loss 0.0012 cls_loss_mapping 0.0019 cls_loss_causal 0.4965 re_mapping 0.0041 re_causal 0.0123 /// teacc 99.03 lr 0.00010000 Epoch 282, weight, value: tensor([[-0.1317, -0.1553, -0.1025, ..., -0.1569, -0.0198, 0.0824], [ 0.0688, 0.0696, 0.0523, ..., 0.1280, -0.1873, -0.0682], [ 0.0595, 0.0171, -0.1507, ..., -0.0618, -0.2362, -0.0985], ..., [-0.0564, -0.1490, 0.0909, ..., -0.1507, -0.0550, 0.0018], [ 0.0207, 0.1076, 0.1594, ..., -0.1474, -0.1561, -0.2294], [-0.1739, 0.0092, -0.2882, ..., -0.1603, -0.1175, 0.1124]], device='cuda:0'), grad: tensor([[-2.3283e-09, 7.9162e-09, 4.1910e-09, ..., 6.9849e-09, 5.1223e-09, -2.1420e-08], [-3.9581e-08, -2.7008e-08, -3.6322e-08, ..., -2.1420e-08, 1.3970e-09, 3.2596e-09], [ 4.1910e-09, 5.1223e-09, 1.7695e-08, ..., 1.0710e-08, 1.8626e-09, 9.3132e-09], ..., [ 8.3819e-09, 9.7789e-09, -4.0513e-08, ..., 2.6077e-08, 4.6566e-10, 2.7940e-09], [-7.4506e-08, -8.5682e-08, -1.5646e-07, ..., 1.5367e-08, -7.0781e-08, 1.1176e-08], [ 6.9849e-09, -6.9849e-09, 1.2573e-08, ..., 6.0024e-07, 3.2596e-09, 9.9186e-08]], device='cuda:0') Epoch 282, bias, value: tensor([ 0.0021, -0.0182, -0.0264, 0.0274, -0.0195, 0.0302, -0.0188, -0.0127, 0.0042, -0.0327], device='cuda:0'), grad: tensor([ 1.3504e-08, -3.7253e-08, 7.6834e-08, 4.6473e-07, -3.6173e-06, 1.2154e-07, 8.2422e-08, 8.8941e-08, -5.2806e-07, 3.3639e-06], device='cuda:0') 100 0.0001 changing lr epoch 281, time 215.14, cls_loss 0.0012 cls_loss_mapping 0.0020 cls_loss_causal 0.5086 re_mapping 0.0038 re_causal 0.0123 /// teacc 98.98 lr 0.00010000 Epoch 283, weight, value: tensor([[-0.1309, -0.1553, -0.1027, ..., -0.1566, -0.0195, 0.0825], [ 0.0689, 0.0708, 0.0524, ..., 0.1286, -0.1880, -0.0680], [ 0.0596, 0.0163, -0.1511, ..., -0.0622, -0.2371, -0.0991], ..., [-0.0564, -0.1509, 0.0912, ..., -0.1517, -0.0553, 0.0018], [ 0.0207, 0.1078, 0.1595, ..., -0.1479, -0.1563, -0.2297], [-0.1738, 0.0094, -0.2889, ..., -0.1606, -0.1176, 0.1127]], device='cuda:0'), grad: tensor([[ 4.1910e-08, 8.3819e-09, 2.1886e-08, ..., 6.5193e-09, 3.2596e-09, -2.1327e-07], [-2.4214e-08, -1.3784e-07, -2.3609e-07, ..., -2.0768e-07, 3.7253e-09, 8.3819e-09], [ 2.5518e-07, 1.8440e-07, 9.1270e-08, ..., 1.3504e-08, 4.6566e-09, -9.3132e-10], ..., [ 1.0151e-07, 7.4506e-08, 6.3330e-08, ..., 9.8720e-08, 3.1199e-08, 2.7474e-08], [-3.2596e-09, -1.2713e-07, -1.3039e-07, ..., 2.8871e-08, 8.3819e-09, 2.6077e-08], [ 4.4238e-08, 1.6764e-08, 3.5856e-08, ..., 3.3993e-08, 1.4435e-08, 6.5193e-08]], device='cuda:0') Epoch 283, bias, value: tensor([ 0.0024, -0.0181, -0.0265, 0.0283, -0.0196, 0.0290, -0.0189, -0.0125, 0.0041, -0.0325], device='cuda:0'), grad: tensor([-1.7555e-07, -1.7090e-07, 9.0804e-07, -2.4922e-06, -4.0187e-07, 7.4599e-07, 4.2189e-07, 6.8964e-07, 9.4529e-08, 3.9116e-07], device='cuda:0') 100 0.0001 changing lr epoch 282, time 214.61, cls_loss 0.0011 cls_loss_mapping 0.0020 cls_loss_causal 0.4728 re_mapping 0.0040 re_causal 0.0124 /// teacc 99.08 lr 0.00010000 Epoch 284, weight, value: tensor([[-0.1316, -0.1559, -0.1029, ..., -0.1566, -0.0201, 0.0824], [ 0.0707, 0.0737, 0.0554, ..., 0.1288, -0.1883, -0.0654], [ 0.0598, 0.0166, -0.1512, ..., -0.0626, -0.2377, -0.0994], ..., [-0.0581, -0.1541, 0.0884, ..., -0.1514, -0.0552, -0.0008], [ 0.0205, 0.1079, 0.1595, ..., -0.1481, -0.1567, -0.2300], [-0.1736, 0.0098, -0.2894, ..., -0.1605, -0.1178, 0.1132]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 7.9162e-09, 9.3132e-10, ..., 1.8626e-09, -6.9849e-09, -8.8010e-08], [-1.1642e-08, -9.7789e-09, -2.7940e-08, ..., -2.1886e-08, 4.1910e-09, 1.7229e-08], [-2.3283e-09, 3.7253e-09, 4.6566e-09, ..., 3.2596e-09, 2.3283e-09, 3.2596e-08], ..., [ 1.2107e-08, 9.3132e-09, 1.3504e-08, ..., 1.2107e-08, 9.3132e-10, 7.7765e-08], [ 2.3283e-09, 9.8720e-08, -4.6566e-10, ..., 1.5367e-08, 7.9628e-08, 1.7229e-08], [ 4.6566e-09, 8.3819e-09, 4.6566e-09, ..., 2.1420e-08, 9.3132e-09, -3.3434e-07]], device='cuda:0') Epoch 284, bias, value: tensor([ 0.0021, -0.0152, -0.0264, 0.0300, -0.0201, 0.0280, -0.0189, -0.0149, 0.0038, -0.0322], device='cuda:0'), grad: tensor([-1.8859e-07, 0.0000e+00, 1.0338e-07, -1.0245e-08, 2.5798e-07, 1.3364e-07, -2.8685e-07, 1.5367e-07, 2.5285e-07, -4.0000e-07], device='cuda:0') 100 0.0001 changing lr epoch 283, time 214.91, cls_loss 0.0010 cls_loss_mapping 0.0016 cls_loss_causal 0.4537 re_mapping 0.0041 re_causal 0.0124 /// teacc 98.93 lr 0.00010000 Epoch 285, weight, value: tensor([[-0.1323, -0.1561, -0.1036, ..., -0.1567, -0.0201, 0.0810], [ 0.0684, 0.0738, 0.0551, ..., 0.1294, -0.1894, -0.0655], [ 0.0591, 0.0157, -0.1516, ..., -0.0635, -0.2372, -0.0988], ..., [-0.0556, -0.1542, 0.0888, ..., -0.1516, -0.0552, -0.0008], [ 0.0208, 0.1078, 0.1597, ..., -0.1490, -0.1574, -0.2303], [-0.1737, 0.0099, -0.2901, ..., -0.1609, -0.1181, 0.1148]], device='cuda:0'), grad: tensor([[ 3.2596e-08, 7.9162e-09, 2.8405e-08, ..., -6.1700e-07, -1.9465e-06, -5.7705e-06], [-1.1727e-05, -1.7015e-06, -1.0006e-05, ..., -5.4128e-06, 2.6077e-08, 6.4261e-08], [ 4.4294e-06, 6.7381e-07, 3.7756e-06, ..., 2.2352e-06, 2.6682e-07, 1.1642e-08], ..., [ 6.3255e-06, 9.2015e-07, 5.3756e-06, ..., 2.9225e-06, 5.5879e-09, -1.3504e-08], [ 2.3283e-08, 6.7055e-08, 1.2107e-08, ..., 1.8626e-08, 2.1420e-08, 1.4249e-07], [ 2.5146e-08, -7.4971e-08, 2.7008e-08, ..., 9.4529e-08, 1.7323e-07, 2.2631e-07]], device='cuda:0') Epoch 285, bias, value: tensor([ 0.0011, -0.0160, -0.0267, 0.0299, -0.0203, 0.0280, -0.0187, -0.0141, 0.0038, -0.0315], device='cuda:0'), grad: tensor([-9.7901e-06, -2.8759e-05, 1.1414e-05, 2.0191e-06, -4.5821e-07, 9.6392e-08, 9.1046e-06, 1.5527e-05, 4.2235e-07, 4.1211e-07], device='cuda:0') 100 0.0001 changing lr epoch 284, time 215.28, cls_loss 0.0009 cls_loss_mapping 0.0019 cls_loss_causal 0.4786 re_mapping 0.0039 re_causal 0.0119 /// teacc 98.94 lr 0.00010000 Epoch 286, weight, value: tensor([[-0.1326, -0.1561, -0.1038, ..., -0.1567, -0.0199, 0.0814], [ 0.0684, 0.0738, 0.0551, ..., 0.1297, -0.1899, -0.0658], [ 0.0589, 0.0151, -0.1520, ..., -0.0638, -0.2375, -0.0988], ..., [-0.0554, -0.1543, 0.0889, ..., -0.1524, -0.0555, -0.0007], [ 0.0214, 0.1081, 0.1601, ..., -0.1492, -0.1581, -0.2305], [-0.1742, 0.0099, -0.2909, ..., -0.1610, -0.1185, 0.1147]], device='cuda:0'), grad: tensor([[-1.4435e-08, -2.2631e-07, 1.8626e-09, ..., -1.1176e-08, -5.7090e-07, -1.7732e-06], [-7.9162e-09, 2.3283e-09, -4.6566e-09, ..., -9.7789e-09, 2.2352e-08, 1.2573e-08], [-1.2061e-07, 6.5193e-09, -2.0862e-07, ..., 9.3132e-10, 1.0710e-08, 2.0023e-08], ..., [ 1.0710e-08, 5.1223e-09, 3.7253e-09, ..., 4.1910e-09, 1.4901e-08, 3.7253e-09], [ 1.1036e-07, 4.7823e-07, 2.2957e-07, ..., 2.7940e-09, 4.6939e-07, 8.9873e-08], [ 1.0710e-08, 1.4529e-07, 3.7253e-09, ..., 1.1176e-08, 3.8650e-07, 1.0934e-06]], device='cuda:0') Epoch 286, bias, value: tensor([ 0.0015, -0.0160, -0.0268, 0.0297, -0.0204, 0.0281, -0.0188, -0.0140, 0.0039, -0.0316], device='cuda:0'), grad: tensor([-1.9632e-06, 5.3551e-08, -9.2760e-07, 2.1467e-07, 8.5682e-08, -2.8592e-07, -5.7882e-07, 8.2422e-08, 2.0675e-06, 1.2591e-06], device='cuda:0') 100 0.0001 changing lr epoch 285, time 215.05, cls_loss 0.0011 cls_loss_mapping 0.0019 cls_loss_causal 0.4881 re_mapping 0.0040 re_causal 0.0120 /// teacc 99.05 lr 0.00010000 Epoch 287, weight, value: tensor([[-0.1333, -0.1561, -0.1037, ..., -0.1569, -0.0197, 0.0816], [ 0.0686, 0.0740, 0.0552, ..., 0.1316, -0.1903, -0.0660], [ 0.0590, 0.0147, -0.1522, ..., -0.0648, -0.2384, -0.0988], ..., [-0.0555, -0.1545, 0.0889, ..., -0.1538, -0.0561, -0.0010], [ 0.0213, 0.1082, 0.1600, ..., -0.1515, -0.1584, -0.2307], [-0.1744, 0.0105, -0.2911, ..., -0.1611, -0.1189, 0.1153]], device='cuda:0'), grad: tensor([[ 1.3970e-09, 1.3970e-09, 8.8476e-09, ..., 1.3970e-09, -9.7789e-09, -6.5658e-08], [-1.7695e-08, -2.1886e-08, -3.1199e-08, ..., -2.5611e-08, -0.0000e+00, 4.1910e-09], [ 7.4506e-09, 5.5879e-09, 1.4901e-08, ..., 1.8626e-09, 1.8626e-09, 6.5193e-09], ..., [ 8.3819e-09, 8.8476e-09, -2.8405e-08, ..., 9.7789e-09, -1.6298e-08, -4.2375e-08], [-1.4901e-08, -1.5832e-08, -2.0489e-08, ..., 3.2596e-09, 9.3132e-10, -0.0000e+00], [ 8.3819e-09, 1.0710e-08, 1.5832e-08, ..., 5.5879e-09, 1.1176e-08, 4.5169e-08]], device='cuda:0') Epoch 287, bias, value: tensor([ 0.0016, -0.0159, -0.0268, 0.0305, -0.0211, 0.0274, -0.0188, -0.0140, 0.0037, -0.0311], device='cuda:0'), grad: tensor([-6.7987e-08, -5.4482e-08, 3.8184e-08, -2.1420e-08, 1.5832e-08, 9.8720e-08, 4.8894e-08, -9.5461e-08, -4.5169e-08, 1.0012e-07], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 286---------------------------------------------------- epoch 286, time 231.55, cls_loss 0.0010 cls_loss_mapping 0.0015 cls_loss_causal 0.4769 re_mapping 0.0039 re_causal 0.0121 /// teacc 99.15 lr 0.00010000 Epoch 288, weight, value: tensor([[-0.1336, -0.1563, -0.1038, ..., -0.1571, -0.0199, 0.0815], [ 0.0686, 0.0742, 0.0552, ..., 0.1322, -0.1903, -0.0662], [ 0.0596, 0.0146, -0.1522, ..., -0.0645, -0.2391, -0.0986], ..., [-0.0557, -0.1546, 0.0890, ..., -0.1549, -0.0573, -0.0004], [ 0.0214, 0.1083, 0.1603, ..., -0.1522, -0.1588, -0.2308], [-0.1749, 0.0106, -0.2928, ..., -0.1614, -0.1191, 0.1156]], device='cuda:0'), grad: tensor([[ 1.8626e-09, 1.0006e-05, 1.3970e-09, ..., 3.2596e-09, 3.9577e-05, 2.9653e-05], [ 4.6566e-09, 1.3970e-08, -4.6566e-09, ..., 5.8673e-08, 5.8208e-08, 4.7963e-08], [-7.2177e-08, -4.2841e-08, 4.5635e-08, ..., -3.4133e-07, 1.7695e-08, 1.6298e-08], ..., [ 1.3970e-08, 6.5193e-09, -1.0524e-07, ..., 3.7253e-09, 2.7940e-09, -2.9337e-08], [ 2.8871e-08, 2.5146e-08, 2.5611e-08, ..., 5.1223e-09, 1.0571e-07, 8.3819e-08], [ 4.1910e-09, 9.7789e-09, 2.4214e-08, ..., 6.1467e-08, 8.0094e-08, 4.5169e-08]], device='cuda:0') Epoch 288, bias, value: tensor([ 0.0015, -0.0160, -0.0265, 0.0307, -0.0213, 0.0273, -0.0187, -0.0140, 0.0038, -0.0312], device='cuda:0'), grad: tensor([ 1.1677e-04, 4.0280e-07, -9.0245e-07, -1.0896e-07, 4.3260e-07, 7.2271e-06, -1.2445e-04, -1.7323e-07, 4.2282e-07, 2.7567e-07], device='cuda:0') 100 0.0001 changing lr epoch 287, time 214.66, cls_loss 0.0012 cls_loss_mapping 0.0032 cls_loss_causal 0.4992 re_mapping 0.0040 re_causal 0.0121 /// teacc 99.09 lr 0.00010000 Epoch 289, weight, value: tensor([[-0.1339, -0.1565, -0.1042, ..., -0.1572, -0.0193, 0.0827], [ 0.0687, 0.0742, 0.0553, ..., 0.1328, -0.1906, -0.0663], [ 0.0596, 0.0125, -0.1523, ..., -0.0664, -0.2422, -0.0992], ..., [-0.0559, -0.1564, 0.0877, ..., -0.1553, -0.0574, -0.0004], [ 0.0217, 0.1099, 0.1635, ..., -0.1525, -0.1616, -0.2313], [-0.1751, 0.0106, -0.2939, ..., -0.1615, -0.1199, 0.1154]], device='cuda:0'), grad: tensor([[ 1.4901e-08, 1.3039e-08, 2.1420e-08, ..., 2.1420e-08, -8.4117e-06, -2.2069e-05], [-3.2037e-07, -2.3097e-07, -4.9546e-07, ..., -4.7404e-07, 5.7742e-08, 1.3318e-07], [ 8.2888e-08, 5.0291e-08, 1.0617e-07, ..., 9.8720e-08, 2.0489e-08, 7.4506e-08], ..., [ 1.3597e-07, 9.4995e-08, 1.8533e-07, ..., 1.9185e-07, 8.3819e-08, 2.2165e-07], [ 4.4703e-08, 1.4901e-08, 3.7253e-09, ..., 4.6566e-08, 6.0536e-08, 8.4750e-08], [ 2.2352e-08, 1.7695e-08, 3.2596e-08, ..., 6.4261e-08, 4.3958e-07, 1.0710e-06]], device='cuda:0') Epoch 289, bias, value: tensor([ 0.0026, -0.0160, -0.0266, 0.0307, -0.0215, 0.0259, -0.0170, -0.0152, 0.0063, -0.0314], device='cuda:0'), grad: tensor([-3.0845e-05, -1.1027e-06, 4.3213e-07, -9.4995e-08, 1.2293e-07, 2.7567e-05, 1.0915e-06, 8.3819e-07, 2.9895e-07, 1.6717e-06], device='cuda:0') 100 0.0001 changing lr epoch 288, time 214.74, cls_loss 0.0012 cls_loss_mapping 0.0020 cls_loss_causal 0.5031 re_mapping 0.0041 re_causal 0.0119 /// teacc 99.02 lr 0.00010000 Epoch 290, weight, value: tensor([[-1.3443e-01, -1.5672e-01, -1.0448e-01, ..., -1.5753e-01, -1.9234e-02, 8.3040e-02], [ 6.9241e-02, 7.3948e-02, 5.5257e-02, ..., 1.3274e-01, -1.9202e-01, -6.6994e-02], [ 5.9453e-02, 1.3777e-02, -1.5242e-01, ..., -6.5674e-02, -2.4154e-01, -9.8993e-02], ..., [-5.6366e-02, -1.5647e-01, 8.7792e-02, ..., -1.5595e-01, -5.7150e-02, 1.4807e-04], [ 2.1640e-02, 1.0983e-01, 1.6347e-01, ..., -1.5362e-01, -1.6274e-01, -2.3175e-01], [-1.7536e-01, 1.0526e-02, -2.9553e-01, ..., -1.6216e-01, -1.2109e-01, 1.1529e-01]], device='cuda:0'), grad: tensor([[ 4.6566e-09, 1.5832e-08, 4.6566e-09, ..., 8.3819e-09, -1.1707e-06, -1.1131e-05], [ 8.3819e-08, 6.2399e-08, 7.1246e-07, ..., 4.2841e-08, 4.1910e-08, 6.7055e-08], [-3.2876e-07, 3.9116e-08, 2.4866e-07, ..., 6.5193e-09, 1.0245e-08, 6.4261e-08], ..., [-6.9849e-08, 2.3283e-08, -1.4789e-06, ..., 1.5832e-08, 8.3819e-09, 6.7055e-08], [ 1.3318e-07, -1.8161e-07, -1.3132e-07, ..., 1.4901e-08, 3.2596e-08, 1.9185e-07], [ 1.0245e-08, 1.9558e-08, 1.0524e-07, ..., 1.2200e-07, 1.1269e-07, 3.2317e-07]], device='cuda:0') Epoch 290, bias, value: tensor([ 0.0027, -0.0161, -0.0267, 0.0307, -0.0214, 0.0264, -0.0173, -0.0151, 0.0062, -0.0317], device='cuda:0'), grad: tensor([-2.3097e-05, 2.2314e-06, 1.9092e-07, 1.9461e-05, -6.4075e-07, -1.7524e-05, 2.1234e-05, -3.8929e-06, 7.3668e-07, 1.3113e-06], device='cuda:0') 100 0.0001 changing lr epoch 289, time 214.99, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.4878 re_mapping 0.0040 re_causal 0.0122 /// teacc 99.07 lr 0.00010000 Epoch 291, weight, value: tensor([[-1.3515e-01, -1.5674e-01, -1.0474e-01, ..., -1.5767e-01, -1.8932e-02, 8.3604e-02], [ 6.8428e-02, 7.1924e-02, 5.4388e-02, ..., 1.3270e-01, -1.9291e-01, -6.7345e-02], [ 5.9822e-02, 1.4390e-02, -1.5252e-01, ..., -6.5321e-02, -2.4136e-01, -9.8587e-02], ..., [-5.5715e-02, -1.5471e-01, 8.8623e-02, ..., -1.5641e-01, -5.7351e-02, 1.6924e-04], [ 2.1442e-02, 1.0967e-01, 1.6345e-01, ..., -1.5411e-01, -1.6336e-01, -2.3223e-01], [-1.7552e-01, 1.0634e-02, -2.9585e-01, ..., -1.6250e-01, -1.2187e-01, 1.1524e-01]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 1.9558e-08, 1.8626e-09, ..., 2.7940e-09, 8.3819e-09, 3.2596e-08], [ 7.4971e-07, 1.3486e-06, 4.6194e-07, ..., 1.2293e-07, 1.8626e-09, 2.5611e-07], [-4.0978e-08, 6.3330e-08, 2.2352e-08, ..., 9.3132e-09, 3.7253e-09, 1.5832e-08], ..., [ 6.6124e-08, 7.4506e-09, 1.0245e-08, ..., 1.0245e-08, 9.3132e-10, 9.3132e-10], [-7.8976e-07, -1.5069e-06, -5.3924e-07, ..., -1.5646e-07, 3.7253e-09, -2.5239e-07], [ 2.5146e-08, -2.7940e-08, 3.7253e-09, ..., 1.7695e-08, 9.3132e-10, -1.1921e-07]], device='cuda:0') Epoch 291, bias, value: tensor([ 0.0033, -0.0171, -0.0266, 0.0308, -0.0216, 0.0265, -0.0175, -0.0143, 0.0060, -0.0317], device='cuda:0'), grad: tensor([ 7.7300e-08, 2.5891e-06, -9.4995e-08, -5.9605e-07, 1.5832e-08, 4.2748e-07, 6.9849e-08, 2.1607e-07, -2.6729e-06, -1.6764e-08], device='cuda:0') 100 0.0001 changing lr epoch 290, time 214.79, cls_loss 0.0009 cls_loss_mapping 0.0016 cls_loss_causal 0.4710 re_mapping 0.0040 re_causal 0.0123 /// teacc 99.04 lr 0.00010000 Epoch 292, weight, value: tensor([[-1.3559e-01, -1.5682e-01, -1.0495e-01, ..., -1.5799e-01, -1.9032e-02, 8.3450e-02], [ 6.8657e-02, 7.2140e-02, 5.4298e-02, ..., 1.3281e-01, -1.9338e-01, -6.6961e-02], [ 5.9897e-02, 1.4317e-02, -1.5270e-01, ..., -6.5466e-02, -2.4169e-01, -9.8813e-02], ..., [-5.5905e-02, -1.5489e-01, 8.8811e-02, ..., -1.5641e-01, -5.6047e-02, -7.9418e-05], [ 2.1276e-02, 1.0959e-01, 1.6343e-01, ..., -1.5443e-01, -1.6410e-01, -2.3310e-01], [-1.7561e-01, 1.0689e-02, -2.9705e-01, ..., -1.6274e-01, -1.2237e-01, 1.1554e-01]], device='cuda:0'), grad: tensor([[-1.8254e-07, 2.4214e-08, 3.5390e-08, ..., 2.7940e-09, 2.0489e-08, -1.5609e-06], [ 5.6103e-06, 2.9262e-06, 5.9418e-07, ..., 3.5111e-07, 1.5590e-06, 1.1109e-05], [-5.9698e-07, -2.7008e-08, 8.7544e-08, ..., 5.5879e-09, 9.3132e-09, 9.2760e-07], ..., [ 2.5798e-07, 6.8918e-08, -2.7008e-07, ..., 1.5181e-07, 3.7253e-09, 6.8918e-08], [ 7.3109e-07, 4.3772e-07, 2.1048e-07, ..., 2.1700e-07, 2.2259e-07, 1.4687e-06], [ 4.4797e-07, 3.1106e-07, 2.2724e-07, ..., 2.6450e-07, 1.5646e-07, 1.0831e-06]], device='cuda:0') Epoch 292, bias, value: tensor([ 0.0031, -0.0172, -0.0266, 0.0313, -0.0217, 0.0262, -0.0176, -0.0141, 0.0058, -0.0317], device='cuda:0'), grad: tensor([-2.5388e-06, 2.5019e-05, 5.5693e-07, 5.9158e-06, -1.6158e-06, -3.3349e-05, -2.3004e-07, -2.9709e-07, 3.7197e-06, 2.8573e-06], device='cuda:0') 100 0.0001 changing lr epoch 291, time 214.81, cls_loss 0.0015 cls_loss_mapping 0.0017 cls_loss_causal 0.4640 re_mapping 0.0042 re_causal 0.0117 /// teacc 99.05 lr 0.00010000 Epoch 293, weight, value: tensor([[-1.3632e-01, -1.5712e-01, -1.0567e-01, ..., -1.5847e-01, -1.9248e-02, 8.3247e-02], [ 6.8751e-02, 7.2107e-02, 5.4228e-02, ..., 1.3315e-01, -1.9393e-01, -6.7348e-02], [ 6.0101e-02, 1.3927e-02, -1.5285e-01, ..., -6.5706e-02, -2.4231e-01, -1.0004e-01], ..., [-5.5976e-02, -1.5490e-01, 8.8984e-02, ..., -1.5608e-01, -5.6295e-02, 1.2639e-04], [ 2.1577e-02, 1.0883e-01, 1.6343e-01, ..., -1.5673e-01, -1.6627e-01, -2.3445e-01], [-1.7575e-01, 1.0570e-02, -2.9813e-01, ..., -1.6323e-01, -1.2357e-01, 1.1591e-01]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 2.7940e-08, 1.3039e-08, ..., 1.3970e-08, -1.4110e-06, -4.4592e-06], [-6.9011e-07, -1.1055e-06, -1.0235e-06, ..., -1.6773e-06, 2.7940e-09, 2.0489e-08], [ 1.2573e-07, 2.8498e-07, 3.6228e-07, ..., 4.0326e-07, 3.7253e-09, 1.1176e-08], ..., [ 2.3283e-08, 1.0245e-08, -2.5611e-07, ..., 1.3039e-08, 0.0000e+00, 1.3970e-08], [ 1.3970e-08, -3.6322e-08, 3.2596e-08, ..., 2.0489e-08, 3.7253e-09, 9.3132e-09], [ 1.8626e-09, 1.8626e-08, 3.8184e-08, ..., 2.7940e-09, 2.7008e-08, -2.7940e-08]], device='cuda:0') Epoch 293, bias, value: tensor([ 0.0029, -0.0173, -0.0267, 0.0315, -0.0216, 0.0237, -0.0148, -0.0140, 0.0054, -0.0318], device='cuda:0'), grad: tensor([-9.0003e-06, -2.4065e-06, 9.6019e-07, 7.3574e-08, 2.3376e-07, 1.5739e-07, 1.0632e-05, -5.3365e-07, -2.9616e-07, 2.1141e-07], device='cuda:0') 100 0.0001 changing lr epoch 292, time 214.80, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.4917 re_mapping 0.0042 re_causal 0.0124 /// teacc 99.01 lr 0.00010000 Epoch 294, weight, value: tensor([[-1.3660e-01, -1.5720e-01, -1.0594e-01, ..., -1.5865e-01, -1.9034e-02, 8.0817e-02], [ 6.8832e-02, 7.2308e-02, 5.4293e-02, ..., 1.3454e-01, -1.9389e-01, -6.7257e-02], [ 6.0198e-02, 1.3472e-02, -1.5313e-01, ..., -6.6301e-02, -2.4295e-01, -1.0051e-01], ..., [-5.6034e-02, -1.5495e-01, 8.9089e-02, ..., -1.5631e-01, -5.6435e-02, 1.5250e-04], [ 2.1636e-02, 1.0864e-01, 1.6340e-01, ..., -1.5763e-01, -1.6701e-01, -2.3481e-01], [-1.7586e-01, 1.0716e-02, -2.9873e-01, ..., -1.6336e-01, -1.2378e-01, 1.1865e-01]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 9.3132e-09, 3.3528e-08, ..., 1.3970e-08, 9.3132e-09, -1.9558e-08], [-3.1665e-08, -2.5705e-07, 3.3230e-06, ..., -1.6950e-07, 5.9232e-07, 1.1483e-06], [-3.7253e-08, 9.3132e-09, 8.8476e-08, ..., 2.1420e-08, 1.5832e-08, 1.9558e-08], ..., [ 2.7008e-08, 5.7742e-08, -2.2128e-05, ..., -1.7723e-06, -3.9004e-06, -6.6198e-06], [-5.9605e-08, -3.3528e-08, -4.3772e-08, ..., 2.8871e-08, 1.9558e-08, 2.4214e-08], [ 1.8626e-08, 1.3970e-08, 1.7300e-05, ..., 1.4678e-06, 3.0417e-06, 5.1223e-06]], device='cuda:0') Epoch 294, bias, value: tensor([ 0.0009, -0.0173, -0.0268, 0.0317, -0.0219, 0.0237, -0.0148, -0.0139, 0.0051, -0.0300], device='cuda:0'), grad: tensor([ 4.4703e-08, 6.4336e-06, 6.3330e-08, 6.4448e-07, 1.2349e-06, 1.3597e-07, 6.8545e-07, -4.1753e-05, -1.7975e-07, 3.2663e-05], device='cuda:0') 100 0.0001 changing lr epoch 293, time 214.69, cls_loss 0.0010 cls_loss_mapping 0.0022 cls_loss_causal 0.4798 re_mapping 0.0039 re_causal 0.0122 /// teacc 99.12 lr 0.00010000 Epoch 295, weight, value: tensor([[-0.1365, -0.1576, -0.1056, ..., -0.1582, -0.0177, 0.0815], [ 0.0685, 0.0725, 0.0539, ..., 0.1348, -0.1946, -0.0660], [ 0.0600, 0.0133, -0.1538, ..., -0.0666, -0.2434, -0.1005], ..., [-0.0556, -0.1553, 0.0896, ..., -0.1566, -0.0557, -0.0011], [ 0.0220, 0.1089, 0.1634, ..., -0.1574, -0.1672, -0.2352], [-0.1760, 0.0119, -0.2992, ..., -0.1635, -0.1224, 0.1188]], device='cuda:0'), grad: tensor([[ 4.6566e-09, 5.5879e-09, 5.5879e-09, ..., 3.7253e-09, 6.5193e-09, -4.6566e-09], [-4.9360e-08, -5.4017e-08, -1.1269e-07, ..., -6.5193e-08, 1.8626e-09, 9.3132e-10], [-3.0734e-08, 2.3283e-08, 3.9116e-08, ..., 1.6764e-08, 3.7253e-09, 0.0000e+00], ..., [ 4.6566e-08, 4.2841e-08, 7.4506e-08, ..., 3.4459e-08, 1.8626e-09, 5.5879e-09], [-1.3132e-07, -1.9930e-07, -2.8592e-07, ..., 1.0245e-08, 3.7253e-09, 2.7940e-09], [ 1.1176e-08, 1.4901e-08, 2.3283e-08, ..., 6.8918e-08, 4.6566e-08, -6.5193e-09]], device='cuda:0') Epoch 295, bias, value: tensor([ 0.0018, -0.0179, -0.0271, 0.0314, -0.0225, 0.0237, -0.0149, -0.0133, 0.0051, -0.0296], device='cuda:0'), grad: tensor([ 2.6077e-08, -1.6671e-07, -1.9558e-08, -1.4808e-07, -2.9150e-07, 8.0839e-07, 3.6322e-08, 1.8906e-07, -7.0315e-07, 2.8312e-07], device='cuda:0') 100 0.0001 changing lr epoch 294, time 214.28, cls_loss 0.0010 cls_loss_mapping 0.0022 cls_loss_causal 0.5003 re_mapping 0.0039 re_causal 0.0122 /// teacc 98.99 lr 0.00010000 Epoch 296, weight, value: tensor([[-0.1367, -0.1576, -0.1052, ..., -0.1580, -0.0172, 0.0818], [ 0.0667, 0.0707, 0.0520, ..., 0.1350, -0.1961, -0.0644], [ 0.0601, 0.0130, -0.1540, ..., -0.0668, -0.2438, -0.1007], ..., [-0.0538, -0.1537, 0.0914, ..., -0.1575, -0.0573, -0.0028], [ 0.0219, 0.1099, 0.1634, ..., -0.1580, -0.1669, -0.2347], [-0.1762, 0.0120, -0.2998, ..., -0.1637, -0.1231, 0.1188]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 1.3970e-08, 9.3132e-10, ..., 9.3132e-10, -3.2596e-08, -2.9616e-07], [-3.7253e-09, -9.3132e-10, 1.3970e-08, ..., -5.5879e-09, 2.7940e-09, 1.7695e-08], [-1.2107e-08, 2.7940e-09, 3.7253e-09, ..., 9.3132e-10, 1.8626e-09, 3.4459e-08], ..., [ 1.4901e-08, 1.0245e-08, -3.2596e-08, ..., 3.7253e-09, 6.5193e-09, 3.0734e-08], [-9.3132e-10, -5.5879e-09, -9.3132e-09, ..., -9.3132e-10, 4.6566e-09, 3.0734e-08], [ 2.7940e-09, -3.8743e-07, 8.3819e-09, ..., 2.7940e-09, -4.8056e-07, -2.2724e-06]], device='cuda:0') Epoch 296, bias, value: tensor([ 0.0023, -0.0197, -0.0271, 0.0314, -0.0226, 0.0237, -0.0149, -0.0116, 0.0055, -0.0297], device='cuda:0'), grad: tensor([-3.7067e-07, 6.5193e-08, 3.4459e-08, -6.6124e-08, 4.2021e-06, 8.7544e-08, 2.2072e-07, 3.2596e-08, 4.2841e-08, -4.2543e-06], device='cuda:0') 100 0.0001 changing lr epoch 295, time 214.85, cls_loss 0.0011 cls_loss_mapping 0.0025 cls_loss_causal 0.4897 re_mapping 0.0040 re_causal 0.0119 /// teacc 99.11 lr 0.00010000 Epoch 297, weight, value: tensor([[-0.1368, -0.1577, -0.1049, ..., -0.1581, -0.0171, 0.0820], [ 0.0669, 0.0708, 0.0520, ..., 0.1354, -0.1972, -0.0646], [ 0.0603, 0.0128, -0.1542, ..., -0.0670, -0.2442, -0.1006], ..., [-0.0540, -0.1538, 0.0916, ..., -0.1578, -0.0559, -0.0024], [ 0.0221, 0.1110, 0.1635, ..., -0.1583, -0.1667, -0.2343], [-0.1766, 0.0151, -0.3021, ..., -0.1606, -0.1202, 0.1218]], device='cuda:0'), grad: tensor([[ 2.7008e-08, 1.5832e-08, 9.3132e-09, ..., 2.7940e-09, 7.4506e-09, 7.4506e-09], [-2.8405e-07, -2.3190e-07, -2.7008e-07, ..., -1.4249e-07, 1.0245e-08, 1.2107e-08], [ 9.2201e-08, -4.6566e-09, 6.6124e-08, ..., 3.1665e-08, 7.4506e-09, 8.3819e-09], ..., [ 1.1455e-07, 3.3528e-08, 1.3970e-08, ..., 5.5879e-09, 1.6764e-08, 2.7008e-08], [-2.7567e-07, -1.1576e-06, -9.7882e-07, ..., 7.7300e-08, 3.0734e-08, -3.1013e-07], [ 4.0419e-07, 1.0906e-06, 9.1176e-07, ..., 4.6566e-09, 1.7416e-07, 4.7684e-07]], device='cuda:0') Epoch 297, bias, value: tensor([ 0.0024, -0.0198, -0.0271, 0.0313, -0.0258, 0.0237, -0.0150, -0.0115, 0.0060, -0.0266], device='cuda:0'), grad: tensor([ 9.4995e-08, -4.4610e-07, 3.3062e-07, -1.4221e-06, 1.8068e-07, -3.1479e-07, 8.0559e-07, 3.9674e-07, -3.2373e-06, 3.6117e-06], device='cuda:0') 100 0.0001 changing lr epoch 296, time 214.79, cls_loss 0.0009 cls_loss_mapping 0.0017 cls_loss_causal 0.4846 re_mapping 0.0038 re_causal 0.0120 /// teacc 99.03 lr 0.00010000 Epoch 298, weight, value: tensor([[-0.1372, -0.1578, -0.1055, ..., -0.1584, -0.0171, 0.0820], [ 0.0669, 0.0703, 0.0520, ..., 0.1335, -0.2006, -0.0645], [ 0.0600, 0.0127, -0.1549, ..., -0.0673, -0.2445, -0.1008], ..., [-0.0539, -0.1538, 0.0917, ..., -0.1580, -0.0561, -0.0024], [ 0.0223, 0.1110, 0.1635, ..., -0.1594, -0.1671, -0.2347], [-0.1767, 0.0152, -0.3026, ..., -0.1606, -0.1203, 0.1218]], device='cuda:0'), grad: tensor([[ 4.0047e-08, -5.4948e-08, 3.6322e-08, ..., 5.5879e-09, 1.8626e-09, -6.5099e-07], [-4.1693e-05, -8.0019e-06, 4.5598e-06, ..., -4.8056e-07, 0.0000e+00, 7.4431e-06], [ 8.4937e-06, 1.2377e-06, 6.0201e-06, ..., 3.9302e-07, 4.6566e-09, 7.9814e-07], ..., [ 3.2723e-05, 6.6943e-06, -1.1705e-05, ..., 8.0094e-08, 0.0000e+00, -9.1791e-06], [-8.3819e-08, -1.1735e-07, -2.3283e-07, ..., 2.7940e-09, 9.3132e-10, 1.4901e-08], [ 4.3772e-08, 6.3330e-08, 8.2236e-07, ..., 2.7940e-09, 9.3132e-10, 1.4957e-06]], device='cuda:0')