/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_RA', '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([[-0.0052, 0.0130, -0.0176, ..., 0.0223, 0.0266, -0.0208], [-0.0176, -0.0280, 0.0186, ..., 0.0191, -0.0301, 0.0311], [ 0.0254, -0.0046, 0.0059, ..., 0.0028, -0.0158, 0.0082], ..., [ 0.0110, -0.0042, 0.0268, ..., 0.0126, 0.0060, -0.0196], [ 0.0099, 0.0191, -0.0010, ..., -0.0097, -0.0281, -0.0062], [-0.0233, 0.0243, 0.0245, ..., -0.0151, 0.0074, -0.0035]], device='cuda:0'), grad: None Epoch 1, bias, value: tensor([-0.0078, 0.0122, -0.0029, -0.0130, 0.0187, -0.0291, 0.0140, -0.0049, 0.0100, -0.0102], device='cuda:0'), grad: None 100 0.0001 changing lr ---------------------saving model at epoch 0---------------------------------------------------- epoch 0, time 231.48, cls_loss 2.2991 cls_loss_mapping 2.2972 cls_loss_causal 2.3020 re_mapping 0.0018 re_causal 0.0018 /// teacc 51.05 lr 0.00010000 Epoch 2, weight, value: tensor([[-0.0057, 0.0138, -0.0174, ..., 0.0207, 0.0243, -0.0223], [-0.0171, -0.0256, 0.0198, ..., 0.0240, -0.0312, 0.0361], [ 0.0257, -0.0039, 0.0054, ..., 0.0023, -0.0149, 0.0072], ..., [ 0.0108, -0.0039, 0.0281, ..., 0.0136, 0.0058, -0.0165], [ 0.0086, 0.0168, -0.0015, ..., -0.0120, -0.0299, -0.0087], [-0.0234, 0.0253, 0.0256, ..., -0.0143, 0.0068, -0.0027]], device='cuda:0'), grad: tensor([[ 2.0131e-05, -4.5509e-03, -3.9043e-03, ..., -3.8662e-03, 0.0000e+00, -5.1994e-03], [ 2.1353e-05, -3.3188e-03, -2.7256e-03, ..., -3.5000e-03, 0.0000e+00, -8.1558e-03], [ 2.0415e-05, 4.5815e-03, 4.3068e-03, ..., 4.3297e-03, 0.0000e+00, 8.0948e-03], ..., [ 2.0906e-05, -1.2436e-03, -3.0708e-03, ..., -4.7803e-04, 0.0000e+00, -4.5052e-03], [ 2.0370e-05, -1.9798e-03, -5.7125e-04, ..., 8.0884e-05, 0.0000e+00, -2.6474e-03], [ 2.0131e-05, 4.6387e-03, 3.8185e-03, ..., 3.9520e-03, 0.0000e+00, 7.1259e-03]], device='cuda:0') Epoch 2, bias, value: tensor([-0.0085, 0.0149, -0.0026, -0.0132, 0.0174, -0.0308, 0.0131, -0.0040, 0.0083, -0.0096], device='cuda:0'), grad: tensor([-0.0554, -0.0491, 0.0742, 0.0446, -0.0300, 0.0557, -0.0311, -0.0500, -0.0261, 0.0673], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 1---------------------------------------------------- epoch 1, time 231.13, cls_loss 2.2235 cls_loss_mapping 1.8040 cls_loss_causal 2.1830 re_mapping 0.0486 re_causal 0.0262 /// teacc 70.41 lr 0.00010000 Epoch 3, weight, value: tensor([[-0.0057, 0.0134, -0.0203, ..., 0.0168, 0.0210, -0.0283], [-0.0170, -0.0229, 0.0160, ..., 0.0305, -0.0278, 0.0433], [ 0.0257, -0.0042, 0.0025, ..., 0.0016, -0.0156, 0.0025], ..., [ 0.0108, -0.0039, 0.0327, ..., 0.0135, 0.0005, -0.0107], [ 0.0085, 0.0171, -0.0018, ..., -0.0124, -0.0313, -0.0093], [-0.0234, 0.0231, 0.0270, ..., -0.0171, 0.0069, -0.0036]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0002, 0.0002, ..., -0.0026, -0.0003, -0.0005], [ 0.0000, 0.0095, 0.0058, ..., 0.0019, 0.0033, 0.0050], [ 0.0000, 0.0026, 0.0005, ..., 0.0007, 0.0013, 0.0014], ..., [ 0.0000, -0.0065, -0.0026, ..., 0.0020, 0.0046, -0.0061], [ 0.0000, -0.0006, -0.0065, ..., -0.0021, -0.0051, -0.0043], [ 0.0000, 0.0024, -0.0024, ..., 0.0006, -0.0031, -0.0012]], device='cuda:0') Epoch 3, bias, value: tensor([-0.0083, 0.0164, -0.0031, -0.0141, 0.0177, -0.0318, 0.0141, -0.0039, 0.0079, -0.0107], device='cuda:0'), grad: tensor([-0.1131, 0.1017, 0.0032, -0.0595, 0.0090, 0.0259, -0.0312, -0.0031, 0.0331, 0.0340], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 2---------------------------------------------------- epoch 2, time 230.77, cls_loss 2.0055 cls_loss_mapping 0.9298 cls_loss_causal 1.8686 re_mapping 0.1309 re_causal 0.1116 /// teacc 82.97 lr 0.00010000 Epoch 4, weight, value: tensor([[-0.0057, 0.0108, -0.0246, ..., 0.0131, 0.0245, -0.0328], [-0.0170, -0.0256, 0.0107, ..., 0.0358, -0.0283, 0.0501], [ 0.0257, -0.0046, -0.0009, ..., 0.0018, -0.0145, -0.0048], ..., [ 0.0108, -0.0064, 0.0380, ..., 0.0102, -0.0014, -0.0064], [ 0.0085, 0.0187, -0.0044, ..., -0.0124, -0.0324, -0.0098], [-0.0234, 0.0227, 0.0314, ..., -0.0204, 0.0048, -0.0017]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0023, -0.0015, ..., 0.0057, 0.0006, -0.0002], [ 0.0000, 0.0026, 0.0052, ..., -0.0006, 0.0002, -0.0010], [ 0.0000, 0.0002, -0.0013, ..., 0.0012, -0.0009, 0.0003], ..., [ 0.0000, 0.0013, -0.0043, ..., -0.0007, -0.0028, 0.0030], [ 0.0000, -0.0004, 0.0012, ..., -0.0003, 0.0006, -0.0058], [ 0.0000, 0.0017, 0.0057, ..., 0.0017, 0.0006, 0.0050]], device='cuda:0') Epoch 4, bias, value: tensor([-0.0082, 0.0170, -0.0044, -0.0138, 0.0166, -0.0314, 0.0139, -0.0038, 0.0083, -0.0098], device='cuda:0'), grad: tensor([ 0.0600, 0.0519, 0.0250, 0.0266, -0.0198, -0.0127, 0.0191, -0.1173, -0.0431, 0.0104], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 3---------------------------------------------------- epoch 3, time 230.30, cls_loss 1.7935 cls_loss_mapping 0.5301 cls_loss_causal 1.6149 re_mapping 0.1324 re_causal 0.1553 /// teacc 87.69 lr 0.00010000 Epoch 5, weight, value: tensor([[-5.6976e-03, 6.1139e-03, -2.8751e-02, ..., 8.1039e-03, 2.8980e-02, -3.6270e-02], [-1.7020e-02, -2.9472e-02, 6.6490e-03, ..., 4.3678e-02, -3.0254e-02, 5.7222e-02], [ 2.5681e-02, -6.2469e-03, 9.9714e-06, ..., -2.0465e-03, -1.4558e-02, -1.1056e-02], ..., [ 1.0841e-02, -1.0236e-02, 4.3665e-02, ..., 7.8569e-03, -3.1083e-03, -2.3670e-03], [ 8.4641e-03, 2.2885e-02, -7.8319e-03, ..., -1.3490e-02, -3.3058e-02, -1.1133e-02], [-2.3407e-02, 2.3156e-02, 3.1968e-02, ..., -2.2863e-02, -2.9661e-04, -2.2200e-03]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 1.6041e-03, -2.8348e-04, ..., -5.1117e-03, 7.3166e-03, 3.3016e-03], [ 0.0000e+00, -6.5565e-04, -1.3733e-04, ..., -9.2621e-03, 3.2196e-03, -8.3466e-03], [ 0.0000e+00, 1.2693e-03, 4.9210e-03, ..., 1.3763e-02, -6.2108e-05, 3.8967e-03], ..., [ 0.0000e+00, -2.7218e-03, -1.1337e-02, ..., -1.0216e-02, -6.6853e-04, -2.3590e-02], [ 0.0000e+00, 1.1978e-02, 5.9509e-03, ..., 1.5991e-02, 4.9973e-03, 1.1780e-02], [ 0.0000e+00, -5.0020e-04, -9.7275e-04, ..., -7.8049e-03, 4.7302e-03, 9.9335e-03]], device='cuda:0') Epoch 5, bias, value: tensor([-0.0096, 0.0179, -0.0054, -0.0133, 0.0172, -0.0323, 0.0138, -0.0028, 0.0084, -0.0098], device='cuda:0'), grad: tensor([ 0.0082, 0.0043, 0.0320, 0.0408, 0.0610, -0.0357, -0.0361, -0.1022, 0.0490, -0.0213], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 4---------------------------------------------------- epoch 4, time 230.85, cls_loss 1.6301 cls_loss_mapping 0.3783 cls_loss_causal 1.4143 re_mapping 0.1115 re_causal 0.1606 /// teacc 91.28 lr 0.00010000 Epoch 6, weight, value: tensor([[-0.0057, 0.0019, -0.0315, ..., 0.0045, 0.0333, -0.0413], [-0.0170, -0.0331, 0.0023, ..., 0.0490, -0.0319, 0.0636], [ 0.0257, -0.0082, 0.0010, ..., -0.0025, -0.0134, -0.0130], ..., [ 0.0108, -0.0146, 0.0499, ..., 0.0067, -0.0061, 0.0004], [ 0.0085, 0.0252, -0.0136, ..., -0.0162, -0.0331, -0.0149], [-0.0234, 0.0241, 0.0327, ..., -0.0250, -0.0071, -0.0007]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0007, 0.0009, ..., 0.0052, -0.0066, 0.0089], [ 0.0000, 0.0091, 0.0186, ..., 0.0093, 0.0028, 0.0051], [ 0.0000, 0.0049, 0.0037, ..., -0.0011, 0.0065, -0.0066], ..., [ 0.0000, 0.0086, -0.0149, ..., -0.0098, 0.0006, -0.0166], [ 0.0000, -0.0359, -0.0265, ..., -0.0090, 0.0027, -0.0201], [ 0.0000, 0.0060, 0.0044, ..., 0.0035, -0.0018, 0.0087]], device='cuda:0') Epoch 6, bias, value: tensor([-0.0101, 0.0178, -0.0046, -0.0132, 0.0171, -0.0323, 0.0143, -0.0033, 0.0076, -0.0092], device='cuda:0'), grad: tensor([ 0.0208, 0.0356, -0.0256, -0.0134, -0.0276, 0.0387, 0.0295, 0.0223, -0.0927, 0.0123], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 5---------------------------------------------------- epoch 5, time 230.59, cls_loss 1.5362 cls_loss_mapping 0.2963 cls_loss_causal 1.3447 re_mapping 0.0951 re_causal 0.1638 /// teacc 91.60 lr 0.00010000 Epoch 7, weight, value: tensor([[-5.6976e-03, -1.3057e-03, -3.3664e-02, ..., 1.4445e-03, 3.5436e-02, -4.2144e-02], [-1.7020e-02, -3.5231e-02, 1.2087e-05, ..., 5.3517e-02, -3.3874e-02, 6.8826e-02], [ 2.5681e-02, -9.4805e-03, 1.5294e-03, ..., -2.3634e-03, -1.3073e-02, -1.6458e-02], ..., [ 1.0841e-02, -1.8503e-02, 5.4470e-02, ..., 4.9900e-03, -6.5514e-03, 2.6829e-03], [ 8.4641e-03, 2.6405e-02, -1.8146e-02, ..., -1.7512e-02, -3.1838e-02, -1.6849e-02], [-2.3407e-02, 2.4911e-02, 3.3542e-02, ..., -2.6230e-02, -8.8147e-03, -4.4122e-04]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0097, 0.0028, ..., -0.0003, -0.0027, 0.0009], [ 0.0000, -0.0025, -0.0077, ..., 0.0042, 0.0006, -0.0096], [ 0.0000, -0.0136, -0.0192, ..., 0.0147, -0.0019, 0.0023], ..., [ 0.0000, 0.0026, -0.0014, ..., 0.0043, 0.0004, -0.0055], [ 0.0000, 0.0216, 0.0242, ..., -0.0037, 0.0005, 0.0202], [ 0.0000, 0.0005, 0.0087, ..., 0.0090, 0.0006, 0.0055]], device='cuda:0') Epoch 7, bias, value: tensor([-0.0097, 0.0184, -0.0047, -0.0136, 0.0160, -0.0319, 0.0143, -0.0028, 0.0067, -0.0088], device='cuda:0'), grad: tensor([-0.0353, -0.0064, -0.0164, 0.0045, 0.0006, -0.0163, -0.0499, 0.0174, 0.0787, 0.0231], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 6---------------------------------------------------- epoch 6, time 230.55, cls_loss 1.4292 cls_loss_mapping 0.2519 cls_loss_causal 1.2321 re_mapping 0.0855 re_causal 0.1583 /// teacc 94.39 lr 0.00010000 Epoch 8, weight, value: tensor([[-5.7063e-03, -4.2141e-03, -3.4838e-02, ..., -4.4554e-06, 3.6260e-02, -4.2675e-02], [-1.7024e-02, -3.9776e-02, -3.1388e-03, ..., 5.6652e-02, -3.5487e-02, 7.2111e-02], [ 2.5821e-02, -9.4525e-03, 1.0607e-03, ..., -4.5522e-03, -1.1909e-02, -2.0593e-02], ..., [ 1.0823e-02, -2.1375e-02, 5.7177e-02, ..., 4.1580e-03, -7.7836e-03, 5.6238e-03], [ 8.4577e-03, 2.8233e-02, -2.1511e-02, ..., -1.7527e-02, -3.1161e-02, -1.8683e-02], [-2.3411e-02, 2.5982e-02, 3.5122e-02, ..., -2.8937e-02, -1.0780e-02, -5.7312e-04]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0054, -0.0019, ..., -0.0006, 0.0081, 0.0052], [ 0.0000, -0.0052, 0.0056, ..., -0.0134, 0.0007, -0.0234], [ 0.0000, 0.0087, 0.0022, ..., 0.0008, 0.0017, 0.0071], ..., [ 0.0000, 0.0027, -0.0172, ..., 0.0022, -0.0006, 0.0037], [ 0.0000, 0.0408, 0.0140, ..., 0.0141, -0.0161, 0.0293], [ 0.0000, -0.0354, -0.0096, ..., -0.0059, 0.0006, -0.0403]], device='cuda:0') Epoch 8, bias, value: tensor([-0.0094, 0.0180, -0.0048, -0.0121, 0.0155, -0.0324, 0.0143, -0.0031, 0.0063, -0.0084], device='cuda:0'), grad: tensor([-0.0265, -0.0152, 0.0107, -0.0571, 0.0038, 0.0730, -0.0297, 0.0327, 0.0764, -0.0680], device='cuda:0') 100 0.0001 changing lr epoch 7, time 214.16, cls_loss 1.3617 cls_loss_mapping 0.2373 cls_loss_causal 1.1436 re_mapping 0.0755 re_causal 0.1420 /// teacc 94.14 lr 0.00010000 Epoch 9, weight, value: tensor([[-0.0057, -0.0069, -0.0361, ..., -0.0004, 0.0379, -0.0449], [-0.0170, -0.0426, -0.0061, ..., 0.0594, -0.0368, 0.0751], [ 0.0258, -0.0093, 0.0014, ..., -0.0063, -0.0099, -0.0228], ..., [ 0.0108, -0.0231, 0.0598, ..., 0.0040, -0.0073, 0.0077], [ 0.0085, 0.0279, -0.0245, ..., -0.0187, -0.0310, -0.0200], [-0.0234, 0.0290, 0.0370, ..., -0.0294, -0.0122, -0.0004]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0095, 0.0045, ..., 0.0101, -0.0065, -0.0095], [ 0.0000, 0.0068, 0.0005, ..., -0.0016, 0.0022, -0.0028], [ 0.0000, 0.0129, 0.0077, ..., 0.0043, 0.0029, 0.0068], ..., [ 0.0000, 0.0034, 0.0057, ..., -0.0059, 0.0024, 0.0022], [ 0.0000, 0.0078, 0.0044, ..., 0.0035, 0.0037, 0.0053], [ 0.0000, -0.0394, -0.0240, ..., -0.0087, -0.0117, -0.0271]], device='cuda:0') Epoch 9, bias, value: tensor([-0.0094, 0.0181, -0.0042, -0.0121, 0.0149, -0.0325, 0.0148, -0.0026, 0.0050, -0.0081], device='cuda:0'), grad: tensor([ 0.0015, 0.0416, 0.0329, -0.0115, 0.0080, -0.0279, 0.0376, -0.0254, 0.0072, -0.0640], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 8---------------------------------------------------- epoch 8, time 230.28, cls_loss 1.3292 cls_loss_mapping 0.2062 cls_loss_causal 1.1216 re_mapping 0.0680 re_causal 0.1325 /// teacc 95.28 lr 0.00010000 Epoch 10, weight, value: tensor([[-5.7063e-03, -8.2545e-03, -3.7036e-02, ..., -1.3193e-03, 3.7539e-02, -4.7933e-02], [-1.7024e-02, -4.4170e-02, -7.0778e-03, ..., 6.1542e-02, -3.6655e-02, 7.8375e-02], [ 2.5821e-02, -1.0798e-02, 1.8739e-03, ..., -6.4659e-03, -9.6074e-03, -2.4274e-02], ..., [ 1.0823e-02, -2.6266e-02, 6.1551e-02, ..., 4.3617e-03, -8.3729e-03, 9.8277e-03], [ 8.4577e-03, 2.7872e-02, -2.7418e-02, ..., -1.9583e-02, -3.2037e-02, -2.1523e-02], [-2.3411e-02, 3.0944e-02, 3.8484e-02, ..., -3.2093e-02, -1.1417e-02, 8.9331e-05]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0504, -0.0321, ..., -0.0421, -0.0050, -0.0135], [ 0.0000, 0.0081, 0.0075, ..., 0.0014, 0.0003, -0.0011], [ 0.0000, 0.0166, 0.0157, ..., 0.0053, 0.0010, 0.0043], ..., [ 0.0000, -0.0191, -0.0439, ..., -0.0104, 0.0009, -0.0150], [ 0.0000, -0.0040, 0.0118, ..., 0.0146, -0.0019, 0.0102], [ 0.0000, -0.0053, 0.0004, ..., 0.0002, 0.0008, -0.0031]], device='cuda:0') Epoch 10, bias, value: tensor([-0.0095, 0.0181, -0.0042, -0.0114, 0.0148, -0.0323, 0.0143, -0.0021, 0.0048, -0.0084], device='cuda:0'), grad: tensor([-0.1255, 0.0139, 0.0131, 0.0331, 0.0308, 0.0127, 0.0201, -0.0258, 0.0405, -0.0129], device='cuda:0') 100 0.0001 changing lr epoch 9, time 214.28, cls_loss 1.2755 cls_loss_mapping 0.1872 cls_loss_causal 1.0805 re_mapping 0.0634 re_causal 0.1248 /// teacc 95.16 lr 0.00010000 Epoch 11, weight, value: tensor([[-0.0057, -0.0093, -0.0371, ..., -0.0008, 0.0370, -0.0489], [-0.0170, -0.0447, -0.0082, ..., 0.0632, -0.0366, 0.0801], [ 0.0258, -0.0121, 0.0004, ..., -0.0077, -0.0086, -0.0264], ..., [ 0.0108, -0.0282, 0.0630, ..., 0.0029, -0.0088, 0.0114], [ 0.0085, 0.0290, -0.0282, ..., -0.0199, -0.0320, -0.0226], [-0.0234, 0.0314, 0.0386, ..., -0.0328, -0.0118, 0.0001]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 1.2154e-02, 1.1292e-02, ..., 1.3756e-02, 3.3379e-03, 1.3878e-02], [ 0.0000e+00, -7.3090e-03, -5.6952e-05, ..., -1.3878e-02, -1.3943e-03, -1.5961e-02], [ 0.0000e+00, -1.2596e-02, -6.9580e-03, ..., 7.9060e-04, -1.4992e-02, -1.3374e-02], ..., [ 0.0000e+00, 1.2138e-02, 9.0179e-03, ..., 1.0658e-02, 1.7605e-03, 7.7477e-03], [ 0.0000e+00, 2.4048e-02, 1.2833e-02, ..., 1.8066e-02, 1.9608e-02, 2.7283e-02], [ 0.0000e+00, 6.2218e-03, 6.2752e-03, ..., 1.3855e-02, 2.1381e-03, 9.5596e-03]], device='cuda:0') Epoch 11, bias, value: tensor([-0.0088, 0.0184, -0.0046, -0.0107, 0.0157, -0.0324, 0.0136, -0.0027, 0.0047, -0.0090], device='cuda:0'), grad: tensor([ 0.0291, -0.0144, -0.0583, -0.0068, -0.0561, 0.0073, -0.0119, 0.0357, 0.0603, 0.0152], device='cuda:0') 100 0.0001 changing lr epoch 10, time 214.45, cls_loss 1.2490 cls_loss_mapping 0.1857 cls_loss_causal 1.0529 re_mapping 0.0588 re_causal 0.1205 /// teacc 95.15 lr 0.00010000 Epoch 12, weight, value: tensor([[-0.0057, -0.0115, -0.0390, ..., -0.0027, 0.0383, -0.0507], [-0.0170, -0.0458, -0.0089, ..., 0.0651, -0.0361, 0.0820], [ 0.0258, -0.0134, 0.0001, ..., -0.0081, -0.0109, -0.0275], ..., [ 0.0108, -0.0293, 0.0650, ..., 0.0024, -0.0091, 0.0114], [ 0.0085, 0.0303, -0.0309, ..., -0.0206, -0.0304, -0.0225], [-0.0234, 0.0323, 0.0402, ..., -0.0338, -0.0132, 0.0004]], device='cuda:0'), grad: tensor([[ 1.2573e-08, 7.8506e-03, 1.2169e-02, ..., 1.0902e-02, 1.3313e-03, 1.3725e-02], [ 3.4459e-08, 7.7515e-03, 9.5367e-03, ..., -1.4992e-03, 8.0204e-04, 1.4496e-03], [ 1.2200e-07, 7.7629e-03, 1.3344e-02, ..., 9.8953e-03, -1.5001e-03, 1.0300e-02], ..., [ 2.2957e-07, 5.7983e-03, 5.1079e-03, ..., 6.0616e-03, 7.7772e-04, 1.0544e-02], [ 1.8626e-08, 4.6005e-03, 1.1604e-02, ..., 8.9722e-03, 3.9177e-03, -2.4319e-03], [ 3.5446e-06, 6.3400e-03, 2.8095e-03, ..., 3.8433e-03, 2.1019e-03, 2.3270e-02]], device='cuda:0') Epoch 12, bias, value: tensor([-0.0088, 0.0186, -0.0045, -0.0105, 0.0156, -0.0327, 0.0134, -0.0026, 0.0045, -0.0091], device='cuda:0'), grad: tensor([ 0.0159, 0.0198, 0.0463, -0.0345, -0.0121, 0.0160, -0.0397, -0.0027, -0.0250, 0.0160], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 11---------------------------------------------------- epoch 11, time 230.58, cls_loss 1.2282 cls_loss_mapping 0.1739 cls_loss_causal 1.0582 re_mapping 0.0539 re_causal 0.1088 /// teacc 95.63 lr 0.00010000 Epoch 13, weight, value: tensor([[-0.0057, -0.0129, -0.0408, ..., -0.0041, 0.0390, -0.0515], [-0.0170, -0.0458, -0.0095, ..., 0.0659, -0.0375, 0.0833], [ 0.0258, -0.0141, -0.0004, ..., -0.0081, -0.0100, -0.0288], ..., [ 0.0108, -0.0304, 0.0665, ..., 0.0019, -0.0101, 0.0122], [ 0.0085, 0.0306, -0.0331, ..., -0.0210, -0.0285, -0.0234], [-0.0234, 0.0333, 0.0402, ..., -0.0335, -0.0142, -0.0002]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0033, 0.0039, ..., -0.0014, -0.0049, -0.0007], [ 0.0000, 0.0078, 0.0257, ..., 0.0158, 0.0012, 0.0152], [ 0.0000, 0.0077, 0.0300, ..., 0.0060, 0.0025, 0.0079], ..., [ 0.0000, -0.0022, -0.0633, ..., -0.0396, -0.0046, -0.0187], [ 0.0000, 0.0030, 0.0149, ..., 0.0127, 0.0014, 0.0171], [ 0.0000, -0.0025, -0.0137, ..., 0.0024, 0.0015, -0.0148]], device='cuda:0') Epoch 13, bias, value: tensor([-0.0088, 0.0184, -0.0041, -0.0111, 0.0161, -0.0322, 0.0133, -0.0025, 0.0044, -0.0093], device='cuda:0'), grad: tensor([-0.0602, 0.0477, 0.0446, 0.0307, 0.0518, -0.0677, 0.0133, -0.0789, 0.0342, -0.0156], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 12---------------------------------------------------- epoch 12, time 230.53, cls_loss 1.1920 cls_loss_mapping 0.1679 cls_loss_causal 1.0173 re_mapping 0.0519 re_causal 0.1088 /// teacc 96.06 lr 0.00010000 Epoch 14, weight, value: tensor([[-0.0057, -0.0138, -0.0416, ..., -0.0056, 0.0381, -0.0526], [-0.0170, -0.0460, -0.0109, ..., 0.0668, -0.0372, 0.0850], [ 0.0258, -0.0144, -0.0007, ..., -0.0082, -0.0096, -0.0303], ..., [ 0.0108, -0.0328, 0.0678, ..., 0.0019, -0.0110, 0.0136], [ 0.0085, 0.0313, -0.0343, ..., -0.0217, -0.0274, -0.0247], [-0.0234, 0.0348, 0.0406, ..., -0.0343, -0.0148, -0.0010]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0042, 0.0042, ..., -0.0118, 0.0015, -0.0078], [ 0.0000, 0.0026, 0.0036, ..., 0.0144, 0.0029, 0.0218], [ 0.0000, 0.0082, 0.0061, ..., 0.0040, 0.0016, 0.0087], ..., [ 0.0000, -0.0115, -0.0224, ..., -0.0204, 0.0011, -0.0213], [ 0.0000, -0.0094, -0.0034, ..., -0.0094, -0.0033, 0.0101], [ 0.0000, 0.0012, -0.0025, ..., 0.0078, 0.0017, -0.0030]], device='cuda:0') Epoch 14, bias, value: tensor([-0.0095, 0.0185, -0.0039, -0.0108, 0.0162, -0.0323, 0.0142, -0.0030, 0.0044, -0.0098], device='cuda:0'), grad: tensor([-0.0181, 0.0347, 0.0071, 0.0473, -0.0150, -0.0280, 0.0194, -0.0493, 0.0052, -0.0033], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 13---------------------------------------------------- epoch 13, time 230.63, cls_loss 1.1858 cls_loss_mapping 0.1477 cls_loss_causal 1.0152 re_mapping 0.0511 re_causal 0.1113 /// teacc 96.25 lr 0.00010000 Epoch 15, weight, value: tensor([[-0.0057, -0.0155, -0.0430, ..., -0.0066, 0.0385, -0.0534], [-0.0170, -0.0459, -0.0108, ..., 0.0676, -0.0366, 0.0863], [ 0.0258, -0.0156, -0.0010, ..., -0.0085, -0.0096, -0.0312], ..., [ 0.0108, -0.0330, 0.0696, ..., 0.0022, -0.0112, 0.0150], [ 0.0085, 0.0314, -0.0368, ..., -0.0222, -0.0269, -0.0263], [-0.0234, 0.0360, 0.0413, ..., -0.0347, -0.0149, -0.0010]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -6.5727e-03, -1.9043e-02, ..., -1.8387e-02, -2.7065e-03, -2.5467e-02], [ 0.0000e+00, -2.5833e-02, -3.7048e-02, ..., -2.6443e-02, 1.2922e-03, -1.9821e-02], [ 0.0000e+00, -4.6577e-03, -1.8711e-03, ..., -6.5804e-03, 4.2439e-04, -1.4397e-02], ..., [ 0.0000e+00, -3.8681e-03, 2.8992e-03, ..., 3.1616e-02, 5.3167e-04, 1.9501e-02], [ 0.0000e+00, 1.0986e-02, 2.5925e-02, ..., 2.3300e-02, 1.7667e-04, 2.0370e-02], [ 0.0000e+00, 2.9640e-03, 1.1894e-02, ..., 7.7095e-03, 8.2433e-05, 1.8091e-03]], device='cuda:0') Epoch 15, bias, value: tensor([-0.0094, 0.0183, -0.0040, -0.0110, 0.0161, -0.0323, 0.0146, -0.0031, 0.0047, -0.0099], device='cuda:0'), grad: tensor([-0.0427, -0.0552, -0.0231, -0.0127, 0.0011, 0.0015, 0.0099, 0.0356, 0.0691, 0.0164], device='cuda:0') 100 0.0001 changing lr epoch 14, time 214.51, cls_loss 1.1437 cls_loss_mapping 0.1443 cls_loss_causal 0.9690 re_mapping 0.0482 re_causal 0.0995 /// teacc 95.87 lr 0.00010000 Epoch 16, weight, value: tensor([[-0.0057, -0.0166, -0.0445, ..., -0.0059, 0.0382, -0.0527], [-0.0170, -0.0460, -0.0104, ..., 0.0684, -0.0368, 0.0880], [ 0.0258, -0.0156, -0.0003, ..., -0.0087, -0.0087, -0.0315], ..., [ 0.0108, -0.0350, 0.0702, ..., 0.0021, -0.0116, 0.0152], [ 0.0085, 0.0316, -0.0387, ..., -0.0227, -0.0274, -0.0276], [-0.0234, 0.0376, 0.0421, ..., -0.0365, -0.0150, -0.0019]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 7.4120e-03, 5.3749e-03, ..., 5.5981e-04, 9.0551e-04, -1.1273e-05], [ 0.0000e+00, -9.0456e-04, -3.5858e-03, ..., -4.3716e-03, 1.2474e-03, 7.6256e-03], [ 0.0000e+00, 1.6785e-02, 2.5543e-02, ..., 1.3115e-02, 4.5662e-03, 1.0201e-02], ..., [ 0.0000e+00, -8.8274e-05, -2.0072e-05, ..., -1.6464e-02, 1.8263e-03, -4.7836e-03], [ 0.0000e+00, -2.5635e-02, -3.0624e-02, ..., -1.7853e-02, -4.3221e-03, -2.0847e-03], [ 0.0000e+00, 1.1971e-02, 8.2169e-03, ..., 6.9389e-03, 1.3828e-03, 4.3526e-03]], device='cuda:0') Epoch 16, bias, value: tensor([-0.0098, 0.0189, -0.0036, -0.0106, 0.0163, -0.0324, 0.0145, -0.0034, 0.0043, -0.0102], device='cuda:0'), grad: tensor([ 0.0199, 0.0127, 0.0422, 0.0016, 0.0079, -0.0252, 0.0194, -0.0428, -0.0649, 0.0292], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 15---------------------------------------------------- epoch 15, time 230.86, cls_loss 1.0933 cls_loss_mapping 0.1370 cls_loss_causal 0.9343 re_mapping 0.0453 re_causal 0.0968 /// teacc 96.33 lr 0.00010000 Epoch 17, weight, value: tensor([[-0.0057, -0.0175, -0.0456, ..., -0.0074, 0.0383, -0.0527], [-0.0170, -0.0457, -0.0113, ..., 0.0692, -0.0375, 0.0893], [ 0.0258, -0.0159, -0.0008, ..., -0.0096, -0.0079, -0.0328], ..., [ 0.0108, -0.0371, 0.0709, ..., 0.0021, -0.0132, 0.0162], [ 0.0085, 0.0316, -0.0405, ..., -0.0228, -0.0274, -0.0289], [-0.0234, 0.0388, 0.0421, ..., -0.0369, -0.0138, -0.0026]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0085, 0.0079, ..., 0.0090, -0.0102, 0.0067], [ 0.0000, 0.0074, 0.0085, ..., 0.0076, 0.0026, 0.0045], [ 0.0000, 0.0162, 0.0376, ..., 0.0025, 0.0021, 0.0046], ..., [ 0.0000, -0.0462, -0.1125, ..., -0.0179, -0.0059, 0.0003], [ 0.0000, 0.0057, -0.0008, ..., 0.0112, -0.0086, -0.0024], [ 0.0000, 0.0005, 0.0062, ..., -0.0068, 0.0044, -0.0423]], device='cuda:0') Epoch 17, bias, value: tensor([-0.0098, 0.0189, -0.0037, -0.0098, 0.0165, -0.0326, 0.0142, -0.0038, 0.0041, -0.0100], device='cuda:0'), grad: tensor([ 0.0194, 0.0386, 0.0330, -0.0646, 0.0542, 0.0101, 0.0228, -0.0846, 0.0230, -0.0520], device='cuda:0') 100 0.0001 changing lr epoch 16, time 214.63, cls_loss 1.0821 cls_loss_mapping 0.1310 cls_loss_causal 0.9099 re_mapping 0.0450 re_causal 0.0989 /// teacc 96.17 lr 0.00010000 Epoch 18, weight, value: tensor([[-0.0057, -0.0190, -0.0462, ..., -0.0079, 0.0392, -0.0534], [-0.0170, -0.0461, -0.0110, ..., 0.0694, -0.0382, 0.0905], [ 0.0258, -0.0165, -0.0017, ..., -0.0089, -0.0077, -0.0332], ..., [ 0.0108, -0.0370, 0.0720, ..., 0.0032, -0.0132, 0.0168], [ 0.0085, 0.0322, -0.0408, ..., -0.0226, -0.0282, -0.0296], [-0.0234, 0.0386, 0.0421, ..., -0.0376, -0.0144, -0.0027]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0029, 0.0007, ..., -0.0165, 0.0024, 0.0107], [ 0.0000, 0.0082, 0.0187, ..., 0.0074, 0.0010, 0.0063], [ 0.0000, -0.0102, -0.0046, ..., -0.0076, -0.0107, -0.0089], ..., [ 0.0000, -0.0078, -0.0259, ..., -0.0158, 0.0003, -0.0314], [ 0.0000, 0.0151, 0.0052, ..., 0.0062, 0.0057, 0.0047], [ 0.0000, 0.0112, -0.0048, ..., 0.0020, 0.0008, 0.0064]], device='cuda:0') Epoch 18, bias, value: tensor([-0.0101, 0.0190, -0.0040, -0.0098, 0.0165, -0.0323, 0.0143, -0.0038, 0.0043, -0.0101], device='cuda:0'), grad: tensor([-0.0100, 0.0122, -0.0394, -0.0069, 0.0207, 0.0092, 0.0261, -0.0874, 0.0461, 0.0295], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 17---------------------------------------------------- epoch 17, time 230.64, cls_loss 1.0623 cls_loss_mapping 0.1226 cls_loss_causal 0.9100 re_mapping 0.0436 re_causal 0.0967 /// teacc 96.38 lr 0.00010000 Epoch 19, weight, value: tensor([[-0.0062, -0.0209, -0.0462, ..., -0.0081, 0.0395, -0.0536], [-0.0182, -0.0464, -0.0110, ..., 0.0698, -0.0375, 0.0915], [ 0.0274, -0.0155, -0.0006, ..., -0.0096, -0.0070, -0.0336], ..., [ 0.0112, -0.0378, 0.0727, ..., 0.0043, -0.0146, 0.0181], [ 0.0074, 0.0322, -0.0423, ..., -0.0235, -0.0272, -0.0309], [-0.0239, 0.0394, 0.0419, ..., -0.0380, -0.0142, -0.0032]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -3.5343e-03, -5.5008e-03, ..., -9.9869e-03, 2.7447e-03, 5.4693e-04], [ 0.0000e+00, 1.3298e-02, 7.5188e-03, ..., 5.1498e-03, 1.0850e-07, -3.5334e-04], [ 0.0000e+00, 3.6316e-03, 1.0252e-03, ..., 3.5114e-03, 7.2177e-08, 3.8204e-03], ..., [ 0.0000e+00, 4.3869e-03, 8.7070e-04, ..., 8.8196e-03, 1.8626e-09, 1.6876e-02], [ 0.0000e+00, 4.7607e-03, -6.4325e-04, ..., 1.8148e-03, 6.9580e-03, -3.2349e-03], [ 0.0000e+00, 1.3054e-02, 2.0004e-02, ..., 5.4703e-03, 4.0792e-06, -1.2764e-02]], device='cuda:0') Epoch 19, bias, value: tensor([-0.0100, 0.0188, -0.0035, -0.0103, 0.0163, -0.0321, 0.0137, -0.0030, 0.0045, -0.0104], device='cuda:0'), grad: tensor([-0.0400, 0.0367, 0.0092, 0.0061, -0.0376, 0.0064, 0.0059, 0.0210, -0.0187, 0.0112], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 18---------------------------------------------------- epoch 18, time 230.69, cls_loss 1.0420 cls_loss_mapping 0.1086 cls_loss_causal 0.8787 re_mapping 0.0426 re_causal 0.0909 /// teacc 96.77 lr 0.00010000 Epoch 20, weight, value: tensor([[-0.0088, -0.0225, -0.0456, ..., -0.0079, 0.0388, -0.0535], [-0.0195, -0.0476, -0.0122, ..., 0.0712, -0.0369, 0.0927], [ 0.0291, -0.0159, -0.0015, ..., -0.0107, -0.0078, -0.0344], ..., [ 0.0118, -0.0388, 0.0747, ..., 0.0049, -0.0148, 0.0190], [ 0.0052, 0.0329, -0.0426, ..., -0.0252, -0.0270, -0.0314], [-0.0235, 0.0399, 0.0411, ..., -0.0374, -0.0132, -0.0037]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -6.4325e-04, -3.8671e-04, ..., -1.1082e-03, 1.7858e-04, 1.0538e-03], [ 0.0000e+00, -1.3847e-02, -9.8190e-03, ..., -1.5945e-02, 2.0385e-05, -8.1711e-03], [ 0.0000e+00, -1.8555e-02, -1.5583e-03, ..., 6.3095e-03, -4.2707e-05, 2.5063e-03], ..., [ 0.0000e+00, -9.4528e-03, -1.6235e-02, ..., 2.6264e-03, -3.6597e-04, 1.9102e-03], [ 0.0000e+00, 1.4061e-02, 1.5316e-03, ..., 7.0152e-03, -7.3147e-04, 4.2725e-03], [ 0.0000e+00, 7.2060e-03, -1.3485e-03, ..., 1.1053e-03, 7.0333e-05, 4.8180e-03]], device='cuda:0') Epoch 20, bias, value: tensor([-0.0104, 0.0189, -0.0034, -0.0098, 0.0160, -0.0315, 0.0133, -0.0026, 0.0043, -0.0108], device='cuda:0'), grad: tensor([-0.0082, -0.0535, 0.0033, 0.0564, 0.0372, -0.0007, -0.0421, -0.0018, -0.0070, 0.0166], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 19---------------------------------------------------- epoch 19, time 230.74, cls_loss 1.0194 cls_loss_mapping 0.1015 cls_loss_causal 0.8567 re_mapping 0.0432 re_causal 0.0896 /// teacc 97.10 lr 0.00010000 Epoch 21, weight, value: tensor([[-0.0094, -0.0237, -0.0466, ..., -0.0081, 0.0378, -0.0540], [-0.0200, -0.0471, -0.0128, ..., 0.0715, -0.0363, 0.0935], [ 0.0284, -0.0169, -0.0014, ..., -0.0108, -0.0076, -0.0347], ..., [ 0.0110, -0.0395, 0.0752, ..., 0.0051, -0.0159, 0.0188], [ 0.0053, 0.0333, -0.0436, ..., -0.0259, -0.0258, -0.0316], [-0.0246, 0.0416, 0.0414, ..., -0.0381, -0.0122, -0.0035]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0097, -0.0069, ..., -0.0188, -0.0145, 0.0012], [ 0.0000, 0.0280, 0.0170, ..., 0.0364, 0.0003, 0.0051], [ 0.0000, 0.0032, 0.0022, ..., -0.0003, 0.0002, 0.0007], ..., [ 0.0000, -0.0147, -0.0228, ..., -0.0197, -0.0029, -0.0023], [ 0.0000, 0.0015, 0.0004, ..., 0.0051, 0.0008, 0.0020], [ 0.0000, 0.0178, 0.0230, ..., 0.0195, 0.0012, 0.0032]], device='cuda:0') Epoch 21, bias, value: tensor([-0.0105, 0.0191, -0.0038, -0.0098, 0.0168, -0.0312, 0.0135, -0.0026, 0.0038, -0.0112], device='cuda:0'), grad: tensor([-0.0828, 0.0558, 0.0151, 0.0014, -0.0040, 0.0023, -0.0119, -0.0461, 0.0113, 0.0590], device='cuda:0') 100 0.0001 changing lr epoch 20, time 214.59, cls_loss 1.0290 cls_loss_mapping 0.1070 cls_loss_causal 0.8829 re_mapping 0.0406 re_causal 0.0875 /// teacc 96.63 lr 0.00010000 Epoch 22, weight, value: tensor([[-0.0103, -0.0236, -0.0462, ..., -0.0069, 0.0383, -0.0528], [-0.0197, -0.0470, -0.0131, ..., 0.0723, -0.0357, 0.0946], [ 0.0265, -0.0165, -0.0020, ..., -0.0110, -0.0074, -0.0355], ..., [ 0.0069, -0.0404, 0.0750, ..., 0.0043, -0.0159, 0.0187], [ 0.0037, 0.0346, -0.0435, ..., -0.0268, -0.0253, -0.0320], [-0.0240, 0.0414, 0.0420, ..., -0.0386, -0.0150, -0.0037]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0089, 0.0079, ..., 0.0039, 0.0263, 0.0096], [ 0.0000, -0.0002, -0.0003, ..., -0.0027, 0.0025, 0.0010], [ 0.0000, -0.0006, -0.0010, ..., -0.0009, -0.0009, -0.0001], ..., [ 0.0000, -0.0136, -0.0176, ..., -0.0044, -0.0296, -0.0146], [ 0.0000, -0.0081, -0.0061, ..., -0.0002, -0.0052, -0.0060], [ 0.0000, 0.0163, 0.0134, ..., 0.0033, 0.0091, 0.0064]], device='cuda:0') Epoch 22, bias, value: tensor([-0.0098, 0.0195, -0.0036, -0.0094, 0.0165, -0.0313, 0.0126, -0.0033, 0.0035, -0.0108], device='cuda:0'), grad: tensor([ 0.0441, -0.0061, -0.0102, -0.0086, 0.0300, 0.0080, 0.0011, -0.0500, -0.0302, 0.0219], device='cuda:0') 100 0.0001 changing lr epoch 21, time 214.43, cls_loss 0.9815 cls_loss_mapping 0.0940 cls_loss_causal 0.8416 re_mapping 0.0407 re_causal 0.0898 /// teacc 96.77 lr 0.00010000 Epoch 23, weight, value: tensor([[-0.0111, -0.0248, -0.0471, ..., -0.0072, 0.0382, -0.0530], [-0.0194, -0.0476, -0.0141, ..., 0.0722, -0.0358, 0.0946], [ 0.0249, -0.0171, -0.0028, ..., -0.0103, -0.0082, -0.0359], ..., [ 0.0081, -0.0398, 0.0752, ..., 0.0044, -0.0165, 0.0197], [ 0.0013, 0.0350, -0.0447, ..., -0.0273, -0.0252, -0.0324], [-0.0256, 0.0412, 0.0427, ..., -0.0393, -0.0148, -0.0042]], device='cuda:0'), grad: tensor([[ 1.1809e-05, 4.4554e-05, 2.0004e-02, ..., 1.1124e-02, 1.0506e-02, 1.3714e-03], [ 5.4315e-06, 2.6608e-03, 8.5144e-03, ..., 9.2773e-03, 3.6297e-03, 7.7515e-03], [ 3.1859e-05, -7.5760e-03, -1.9531e-02, ..., -1.0475e-02, 1.7792e-02, -5.7526e-03], ..., [-2.3127e-04, 1.9665e-03, -4.6234e-03, ..., 2.4910e-03, 1.8568e-03, -2.3327e-03], [ 2.6926e-05, 8.2588e-04, 5.3101e-03, ..., 2.5654e-03, -7.1564e-03, 3.8376e-03], [ 1.1361e-04, 3.3321e-03, 1.8311e-02, ..., 1.1139e-02, 3.1815e-03, 6.0844e-03]], device='cuda:0') Epoch 23, bias, value: tensor([-0.0098, 0.0193, -0.0028, -0.0092, 0.0165, -0.0310, 0.0127, -0.0034, 0.0031, -0.0113], device='cuda:0'), grad: tensor([ 0.0338, 0.0195, -0.0182, 0.0045, -0.0589, -0.0193, -0.0021, 0.0158, -0.0052, 0.0301], device='cuda:0') 100 0.0001 changing lr epoch 22, time 214.11, cls_loss 0.9876 cls_loss_mapping 0.0873 cls_loss_causal 0.8426 re_mapping 0.0389 re_causal 0.0871 /// teacc 97.00 lr 0.00010000 Epoch 24, weight, value: tensor([[-0.0128, -0.0252, -0.0478, ..., -0.0073, 0.0380, -0.0538], [-0.0204, -0.0483, -0.0143, ..., 0.0728, -0.0356, 0.0957], [ 0.0205, -0.0175, -0.0032, ..., -0.0096, -0.0072, -0.0362], ..., [ 0.0105, -0.0406, 0.0764, ..., 0.0045, -0.0171, 0.0201], [ 0.0021, 0.0350, -0.0465, ..., -0.0277, -0.0249, -0.0335], [-0.0266, 0.0416, 0.0425, ..., -0.0391, -0.0146, -0.0043]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0057, 0.0129, ..., -0.0012, -0.0036, 0.0022], [ 0.0000, -0.0018, -0.0063, ..., -0.0128, -0.0008, -0.0021], [ 0.0000, 0.0104, 0.0149, ..., 0.0092, 0.0043, 0.0062], ..., [ 0.0000, 0.0009, 0.0012, ..., 0.0077, 0.0004, 0.0057], [ 0.0000, 0.0155, 0.0144, ..., 0.0105, 0.0013, 0.0058], [ 0.0000, 0.0011, -0.0094, ..., 0.0015, -0.0017, -0.0030]], device='cuda:0') Epoch 24, bias, value: tensor([-0.0102, 0.0195, -0.0025, -0.0089, 0.0160, -0.0307, 0.0122, -0.0030, 0.0027, -0.0111], device='cuda:0'), grad: tensor([ 0.0138, -0.0347, 0.0408, -0.0825, 0.0094, 0.0108, 0.0262, 0.0062, 0.0193, -0.0093], device='cuda:0') 100 0.0001 changing lr epoch 23, time 214.21, cls_loss 0.9664 cls_loss_mapping 0.0840 cls_loss_causal 0.8152 re_mapping 0.0386 re_causal 0.0818 /// teacc 96.81 lr 0.00010000 Epoch 25, weight, value: tensor([[-0.0125, -0.0258, -0.0487, ..., -0.0075, 0.0382, -0.0546], [-0.0192, -0.0492, -0.0147, ..., 0.0734, -0.0366, 0.0971], [ 0.0207, -0.0187, -0.0035, ..., -0.0095, -0.0074, -0.0374], ..., [ 0.0102, -0.0408, 0.0771, ..., 0.0044, -0.0170, 0.0204], [ 0.0020, 0.0352, -0.0467, ..., -0.0278, -0.0248, -0.0334], [-0.0270, 0.0424, 0.0427, ..., -0.0394, -0.0145, -0.0043]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0036, 0.0054, ..., 0.0078, 0.0008, 0.0013], [ 0.0000, 0.0062, -0.0013, ..., 0.0048, 0.0004, 0.0017], [ 0.0000, 0.0063, 0.0092, ..., 0.0187, -0.0002, 0.0025], ..., [ 0.0000, 0.0107, 0.0070, ..., 0.0115, -0.0070, 0.0020], [ 0.0000, -0.0223, -0.0242, ..., -0.0467, 0.0014, -0.0077], [ 0.0000, -0.0095, -0.0074, ..., 0.0117, 0.0013, 0.0013]], device='cuda:0') Epoch 25, bias, value: tensor([-0.0106, 0.0193, -0.0025, -0.0087, 0.0162, -0.0308, 0.0121, -0.0029, 0.0032, -0.0115], device='cuda:0'), grad: tensor([-0.0025, 0.0294, 0.0336, 0.0500, -0.0493, -0.0283, 0.0104, 0.0058, -0.0548, 0.0058], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 24---------------------------------------------------- epoch 24, time 230.49, cls_loss 0.9551 cls_loss_mapping 0.0811 cls_loss_causal 0.8176 re_mapping 0.0376 re_causal 0.0824 /// teacc 97.27 lr 0.00010000 Epoch 26, weight, value: tensor([[-0.0135, -0.0259, -0.0490, ..., -0.0086, 0.0394, -0.0538], [-0.0195, -0.0493, -0.0151, ..., 0.0735, -0.0366, 0.0975], [ 0.0216, -0.0185, -0.0039, ..., -0.0092, -0.0052, -0.0372], ..., [ 0.0106, -0.0423, 0.0774, ..., 0.0040, -0.0182, 0.0211], [ 0.0014, 0.0363, -0.0477, ..., -0.0277, -0.0251, -0.0349], [-0.0273, 0.0431, 0.0440, ..., -0.0383, -0.0152, -0.0041]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0109, -0.0156, ..., -0.0074, -0.0019, 0.0018], [ 0.0000, -0.0055, -0.0195, ..., -0.0180, 0.0010, -0.0117], [ 0.0000, 0.0020, 0.0095, ..., 0.0056, -0.0117, 0.0025], ..., [ 0.0000, -0.0006, 0.0079, ..., 0.0131, -0.0071, -0.0054], [ 0.0000, 0.0091, 0.0055, ..., -0.0089, 0.0030, 0.0025], [ 0.0000, 0.0074, 0.0182, ..., 0.0065, 0.0089, 0.0090]], device='cuda:0') Epoch 26, bias, value: tensor([-0.0108, 0.0193, -0.0024, -0.0092, 0.0165, -0.0310, 0.0124, -0.0028, 0.0032, -0.0111], device='cuda:0'), grad: tensor([-0.0511, -0.0464, 0.0230, 0.0404, -0.0549, 0.0044, 0.0345, 0.0228, -0.0020, 0.0293], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 25---------------------------------------------------- epoch 25, time 230.98, cls_loss 0.9691 cls_loss_mapping 0.0824 cls_loss_causal 0.8262 re_mapping 0.0366 re_causal 0.0807 /// teacc 97.41 lr 0.00010000 Epoch 27, weight, value: tensor([[-0.0138, -0.0268, -0.0492, ..., -0.0089, 0.0395, -0.0531], [-0.0221, -0.0488, -0.0151, ..., 0.0742, -0.0374, 0.0985], [ 0.0192, -0.0191, -0.0037, ..., -0.0085, -0.0069, -0.0369], ..., [ 0.0075, -0.0433, 0.0773, ..., 0.0030, -0.0186, 0.0209], [ 0.0019, 0.0366, -0.0469, ..., -0.0285, -0.0236, -0.0352], [-0.0290, 0.0439, 0.0442, ..., -0.0383, -0.0156, -0.0046]], device='cuda:0'), grad: tensor([[ 8.4543e-04, 1.4610e-03, -8.3923e-03, ..., -6.9313e-03, 5.7487e-03, -7.3624e-04], [ 1.0437e-04, 1.1818e-02, -2.7714e-03, ..., 3.0243e-02, 4.5204e-04, 7.5340e-03], [-3.1796e-03, -2.3407e-02, -5.7907e-03, ..., -3.7659e-02, -1.0120e-01, 1.0395e-03], ..., [ 1.4496e-04, 5.3215e-04, -7.8659e-03, ..., -6.7673e-03, 9.4652e-05, -1.0729e-03], [ 2.8872e-04, 2.0477e-02, 7.7896e-03, ..., -3.1490e-03, -2.9068e-03, -1.0712e-02], [ 1.3089e-04, -1.6968e-02, -1.0582e-02, ..., -2.0866e-03, 2.9469e-03, -3.0613e-03]], device='cuda:0') Epoch 27, bias, value: tensor([-0.0106, 0.0193, -0.0019, -0.0088, 0.0168, -0.0307, 0.0114, -0.0031, 0.0030, -0.0114], device='cuda:0'), grad: tensor([-0.0053, -0.0015, -0.0857, 0.0587, 0.0111, 0.0262, 0.0207, -0.0121, -0.0034, -0.0087], device='cuda:0') 100 0.0001 changing lr epoch 26, time 214.49, cls_loss 0.9388 cls_loss_mapping 0.0804 cls_loss_causal 0.8093 re_mapping 0.0360 re_causal 0.0814 /// teacc 96.99 lr 0.00010000 Epoch 28, weight, value: tensor([[-0.0120, -0.0272, -0.0486, ..., -0.0088, 0.0386, -0.0528], [-0.0232, -0.0489, -0.0150, ..., 0.0744, -0.0373, 0.0995], [ 0.0182, -0.0191, -0.0045, ..., -0.0090, -0.0063, -0.0376], ..., [ 0.0059, -0.0443, 0.0777, ..., 0.0035, -0.0185, 0.0218], [-0.0003, 0.0360, -0.0481, ..., -0.0285, -0.0216, -0.0356], [-0.0291, 0.0448, 0.0448, ..., -0.0387, -0.0166, -0.0042]], device='cuda:0'), grad: tensor([[ 3.8892e-05, -4.3654e-04, -1.0918e-02, ..., -1.8234e-02, -8.0643e-03, -1.1902e-02], [ 2.7150e-05, 4.4632e-03, 1.0307e-02, ..., 1.4847e-02, -2.0428e-03, -2.9392e-03], [-4.9782e-04, 2.3174e-03, 4.5090e-03, ..., 3.7308e-03, -4.1122e-03, 6.1378e-03], ..., [-5.3883e-04, 1.2331e-03, 3.6983e-03, ..., 1.4854e-02, 7.9727e-03, 3.9215e-03], [ 2.3139e-04, -3.4733e-03, -1.6388e-02, ..., -1.6174e-02, -6.5918e-03, -1.0490e-02], [ 1.0127e-04, 4.6616e-03, -2.7275e-03, ..., -6.8512e-03, 1.9894e-03, 3.7746e-03]], device='cuda:0') Epoch 28, bias, value: tensor([-0.0104, 0.0194, -0.0026, -0.0089, 0.0170, -0.0305, 0.0117, -0.0027, 0.0026, -0.0115], device='cuda:0'), grad: tensor([-0.0611, 0.0518, 0.0084, 0.0106, 0.0463, 0.0008, 0.0115, 0.0267, -0.0682, -0.0268], device='cuda:0') 100 0.0001 changing lr epoch 27, time 214.45, cls_loss 0.9572 cls_loss_mapping 0.0949 cls_loss_causal 0.8101 re_mapping 0.0345 re_causal 0.0707 /// teacc 96.91 lr 0.00010000 Epoch 29, weight, value: tensor([[-0.0130, -0.0281, -0.0485, ..., -0.0091, 0.0388, -0.0527], [-0.0237, -0.0496, -0.0159, ..., 0.0742, -0.0398, 0.1004], [ 0.0183, -0.0196, -0.0050, ..., -0.0090, -0.0064, -0.0387], ..., [ 0.0039, -0.0440, 0.0783, ..., 0.0039, -0.0201, 0.0217], [-0.0022, 0.0364, -0.0490, ..., -0.0286, -0.0202, -0.0362], [-0.0309, 0.0450, 0.0442, ..., -0.0384, -0.0159, -0.0045]], device='cuda:0'), grad: tensor([[ 2.2464e-06, 1.1988e-03, -1.1492e-03, ..., -3.0918e-03, 5.3650e-02, -8.2254e-05], [ 2.5868e-04, 3.5248e-03, 4.2000e-03, ..., 1.2131e-02, 2.2984e-03, 1.1978e-02], [-2.6751e-04, 2.2068e-03, 2.7752e-03, ..., 3.3016e-03, -1.3428e-02, 2.5120e-03], ..., [-5.2166e-04, 3.1300e-03, 2.6817e-03, ..., -1.2817e-03, 2.2186e-02, -5.1079e-03], [ 6.2466e-05, 2.5024e-02, 1.6571e-02, ..., 6.2485e-03, 2.8610e-02, 4.6005e-03], [ 2.1446e-04, -4.6204e-02, -5.7983e-02, ..., -2.7847e-02, -5.5115e-02, -2.4673e-02]], device='cuda:0') Epoch 29, bias, value: tensor([-0.0099, 0.0187, -0.0022, -0.0087, 0.0177, -0.0309, 0.0112, -0.0033, 0.0027, -0.0113], device='cuda:0'), grad: tensor([ 0.0046, 0.0255, -0.0058, 0.0426, 0.0173, -0.0009, -0.0399, 0.0182, 0.0657, -0.1273], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 28---------------------------------------------------- epoch 28, time 230.65, cls_loss 0.9483 cls_loss_mapping 0.0837 cls_loss_causal 0.8046 re_mapping 0.0352 re_causal 0.0739 /// teacc 97.43 lr 0.00010000 Epoch 30, weight, value: tensor([[-0.0156, -0.0292, -0.0495, ..., -0.0102, 0.0387, -0.0537], [-0.0220, -0.0501, -0.0152, ..., 0.0749, -0.0393, 0.1017], [ 0.0187, -0.0202, -0.0059, ..., -0.0094, -0.0055, -0.0399], ..., [ 0.0012, -0.0446, 0.0790, ..., 0.0042, -0.0205, 0.0221], [-0.0029, 0.0366, -0.0498, ..., -0.0290, -0.0215, -0.0363], [-0.0344, 0.0452, 0.0450, ..., -0.0385, -0.0174, -0.0043]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 2.2278e-03, -1.3008e-03, ..., -1.6146e-03, 4.8846e-05, 1.7300e-03], [ 0.0000e+00, 2.1992e-03, -3.6373e-03, ..., -1.1569e-04, -4.0531e-06, 4.4212e-03], [ 0.0000e+00, 1.3590e-03, 1.9634e-04, ..., 3.4428e-04, 6.7465e-06, -1.2840e-02], ..., [ 0.0000e+00, 2.2430e-03, 1.7014e-03, ..., 4.1084e-03, 7.9051e-06, 2.7809e-03], [ 0.0000e+00, -4.2648e-03, 3.0022e-03, ..., 2.1286e-03, 2.2721e-04, 5.1270e-03], [ 0.0000e+00, 4.3602e-03, 3.1433e-03, ..., -2.2297e-03, 3.5912e-05, 6.7444e-03]], device='cuda:0') Epoch 30, bias, value: tensor([-0.0102, 0.0186, -0.0017, -0.0083, 0.0172, -0.0303, 0.0114, -0.0034, 0.0022, -0.0113], device='cuda:0'), grad: tensor([-0.0360, 0.0242, -0.0216, -0.0219, 0.0151, -0.0102, 0.0446, -0.0141, -0.0143, 0.0341], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 29---------------------------------------------------- epoch 29, time 230.37, cls_loss 0.9240 cls_loss_mapping 0.0825 cls_loss_causal 0.7768 re_mapping 0.0336 re_causal 0.0721 /// teacc 97.51 lr 0.00010000 Epoch 31, weight, value: tensor([[-0.0176, -0.0295, -0.0493, ..., -0.0102, 0.0394, -0.0544], [-0.0230, -0.0508, -0.0158, ..., 0.0746, -0.0389, 0.1014], [ 0.0176, -0.0209, -0.0071, ..., -0.0094, -0.0059, -0.0396], ..., [ 0.0020, -0.0451, 0.0801, ..., 0.0034, -0.0198, 0.0235], [-0.0033, 0.0368, -0.0509, ..., -0.0286, -0.0217, -0.0381], [-0.0318, 0.0456, 0.0459, ..., -0.0377, -0.0182, -0.0042]], device='cuda:0'), grad: tensor([[ 1.3396e-05, 4.5395e-03, 4.1618e-03, ..., 5.3177e-03, 1.4114e-03, 1.8158e-03], [ 3.3677e-06, 7.4310e-03, 9.7580e-03, ..., 1.3855e-02, 2.4300e-03, 6.7596e-03], [ 1.7226e-05, -3.7136e-03, -8.7357e-03, ..., -1.3023e-02, -1.4496e-03, -8.0032e-03], ..., [ 4.6231e-06, -1.2032e-02, -2.1118e-02, ..., -2.0432e-02, -3.5343e-03, -4.3297e-03], [-4.6325e-04, 3.2082e-03, 1.8044e-03, ..., -2.8629e-03, 3.4809e-03, 1.7157e-03], [ 2.3019e-04, 2.2690e-02, 2.5589e-02, ..., 1.7487e-02, 6.7139e-03, 1.4244e-02]], device='cuda:0') Epoch 31, bias, value: tensor([-0.0103, 0.0186, -0.0022, -0.0081, 0.0168, -0.0307, 0.0114, -0.0036, 0.0029, -0.0108], device='cuda:0'), grad: tensor([ 0.0209, 0.0385, -0.0432, 0.0525, 0.0174, -0.0623, -0.0567, -0.0388, -0.0026, 0.0744], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 30---------------------------------------------------- epoch 30, time 230.43, cls_loss 0.9209 cls_loss_mapping 0.0861 cls_loss_causal 0.7888 re_mapping 0.0324 re_causal 0.0695 /// teacc 97.55 lr 0.00010000 Epoch 32, weight, value: tensor([[-0.0196, -0.0298, -0.0501, ..., -0.0092, 0.0398, -0.0551], [-0.0212, -0.0508, -0.0156, ..., 0.0752, -0.0384, 0.1018], [ 0.0176, -0.0222, -0.0063, ..., -0.0101, -0.0060, -0.0398], ..., [ 0.0017, -0.0454, 0.0795, ..., 0.0021, -0.0213, 0.0228], [-0.0044, 0.0375, -0.0509, ..., -0.0286, -0.0216, -0.0377], [-0.0340, 0.0459, 0.0465, ..., -0.0367, -0.0186, -0.0038]], device='cuda:0'), grad: tensor([[ 8.0094e-08, -2.4853e-03, 2.7008e-03, ..., -8.0795e-03, 3.4618e-03, 1.3933e-03], [ 1.2107e-07, -1.0399e-02, -4.7951e-03, ..., -2.4796e-02, -2.0630e-02, -1.8219e-02], [-8.8476e-07, 6.8378e-04, 6.1722e-03, ..., 7.1030e-03, 5.0697e-03, 1.3618e-03], ..., [ 1.2733e-05, 6.2866e-03, -8.1329e-03, ..., 9.3031e-04, 7.2861e-04, 5.4245e-03], [ 4.6100e-07, 2.9526e-03, 2.3937e-03, ..., 1.2894e-03, 1.9550e-03, -4.8218e-03], [ 1.8673e-06, 3.1638e-04, 8.4763e-03, ..., 1.6434e-02, -4.4417e-04, 1.0506e-02]], device='cuda:0') Epoch 32, bias, value: tensor([-0.0098, 0.0187, -0.0019, -0.0084, 0.0165, -0.0303, 0.0113, -0.0041, 0.0030, -0.0110], device='cuda:0'), grad: tensor([-0.0110, -0.0691, 0.0233, -0.0019, 0.0732, -0.0158, -0.0031, 0.0237, 0.0036, -0.0229], device='cuda:0') 100 0.0001 changing lr epoch 31, time 214.29, cls_loss 0.8799 cls_loss_mapping 0.0645 cls_loss_causal 0.7468 re_mapping 0.0331 re_causal 0.0723 /// teacc 97.42 lr 0.00010000 Epoch 33, weight, value: tensor([[-0.0191, -0.0307, -0.0506, ..., -0.0097, 0.0387, -0.0554], [-0.0206, -0.0505, -0.0158, ..., 0.0754, -0.0371, 0.1025], [ 0.0174, -0.0219, -0.0062, ..., -0.0101, -0.0058, -0.0394], ..., [ 0.0021, -0.0448, 0.0790, ..., 0.0023, -0.0224, 0.0225], [-0.0042, 0.0379, -0.0507, ..., -0.0287, -0.0226, -0.0376], [-0.0346, 0.0463, 0.0469, ..., -0.0370, -0.0169, -0.0041]], device='cuda:0'), grad: tensor([[ 9.3132e-08, 2.8305e-03, 3.9864e-03, ..., 6.4964e-03, 8.0585e-04, 1.3905e-03], [ 3.3434e-07, 1.5187e-04, 8.9931e-04, ..., 9.6560e-04, 6.8283e-04, -2.9392e-03], [ 2.4475e-06, 5.0497e-04, -7.8087e-03, ..., 2.5158e-03, 4.9543e-04, 1.4973e-03], ..., [-2.3201e-05, 1.8568e-03, -7.4768e-03, ..., 5.4300e-05, 4.6968e-05, 4.5633e-04], [ 3.1181e-06, -2.5139e-03, -9.5901e-03, ..., -9.0256e-03, 2.1133e-03, 4.0092e-03], [ 4.2468e-06, 4.7913e-03, 9.3613e-03, ..., 9.8190e-03, 2.6226e-04, 1.0118e-03]], device='cuda:0') Epoch 33, bias, value: tensor([-0.0101, 0.0186, -0.0021, -0.0080, 0.0168, -0.0302, 0.0115, -0.0043, 0.0028, -0.0110], device='cuda:0'), grad: tensor([ 0.0227, 0.0072, 0.0034, 0.0209, -0.0114, 0.0382, -0.0957, -0.0016, -0.0165, 0.0329], device='cuda:0') 100 0.0001 changing lr epoch 32, time 214.22, cls_loss 0.8847 cls_loss_mapping 0.0652 cls_loss_causal 0.7558 re_mapping 0.0327 re_causal 0.0737 /// teacc 97.47 lr 0.00010000 Epoch 34, weight, value: tensor([[-0.0193, -0.0317, -0.0502, ..., -0.0098, 0.0387, -0.0561], [-0.0208, -0.0504, -0.0157, ..., 0.0771, -0.0347, 0.1038], [ 0.0173, -0.0223, -0.0066, ..., -0.0108, -0.0082, -0.0396], ..., [ 0.0019, -0.0447, 0.0801, ..., 0.0014, -0.0238, 0.0232], [-0.0041, 0.0389, -0.0505, ..., -0.0283, -0.0217, -0.0380], [-0.0346, 0.0459, 0.0450, ..., -0.0382, -0.0175, -0.0053]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0032, 0.0069, ..., 0.0065, -0.0008, 0.0112], [ 0.0000, 0.0042, -0.0024, ..., 0.0110, -0.0016, -0.0075], [ 0.0000, 0.0050, 0.0073, ..., 0.0034, 0.0020, 0.0024], ..., [ 0.0000, 0.0036, -0.0076, ..., 0.0025, -0.0120, 0.0016], [ 0.0000, 0.0132, 0.0122, ..., 0.0072, 0.0031, 0.0023], [ 0.0000, -0.0276, -0.0126, ..., -0.0014, 0.0026, 0.0002]], device='cuda:0') Epoch 34, bias, value: tensor([-0.0097, 0.0192, -0.0026, -0.0074, 0.0170, -0.0301, 0.0115, -0.0048, 0.0027, -0.0118], device='cuda:0'), grad: tensor([ 0.0225, 0.0112, 0.0286, 0.0406, -0.0466, 0.0123, -0.0445, -0.0400, 0.0551, -0.0393], device='cuda:0') 100 0.0001 changing lr epoch 33, time 214.50, cls_loss 0.8869 cls_loss_mapping 0.0616 cls_loss_causal 0.7513 re_mapping 0.0318 re_causal 0.0704 /// teacc 97.37 lr 0.00010000 Epoch 35, weight, value: tensor([[-0.0197, -0.0324, -0.0503, ..., -0.0098, 0.0383, -0.0551], [-0.0212, -0.0505, -0.0157, ..., 0.0774, -0.0356, 0.1055], [ 0.0161, -0.0223, -0.0066, ..., -0.0107, -0.0075, -0.0404], ..., [ 0.0024, -0.0452, 0.0808, ..., 0.0018, -0.0240, 0.0240], [-0.0041, 0.0385, -0.0509, ..., -0.0285, -0.0222, -0.0389], [-0.0349, 0.0475, 0.0457, ..., -0.0389, -0.0164, -0.0063]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0017, 0.0076, ..., 0.0055, 0.0009, 0.0026], [ 0.0000, -0.0055, -0.0098, ..., -0.0089, -0.0004, -0.0075], [ 0.0000, -0.0033, -0.0153, ..., -0.0137, 0.0001, -0.0041], ..., [ 0.0000, 0.0030, -0.0046, ..., 0.0032, 0.0118, 0.0028], [ 0.0000, 0.0045, 0.0049, ..., 0.0004, 0.0015, 0.0036], [ 0.0000, 0.0011, 0.0063, ..., 0.0089, 0.0009, 0.0033]], device='cuda:0') Epoch 35, bias, value: tensor([-0.0101, 0.0189, -0.0027, -0.0071, 0.0165, -0.0306, 0.0115, -0.0038, 0.0027, -0.0113], device='cuda:0'), grad: tensor([ 0.0250, -0.0105, -0.0544, -0.0125, -0.0432, 0.0295, 0.0173, -0.0130, 0.0077, 0.0541], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 34---------------------------------------------------- epoch 34, time 231.00, cls_loss 0.8966 cls_loss_mapping 0.0667 cls_loss_causal 0.7646 re_mapping 0.0308 re_causal 0.0685 /// teacc 97.62 lr 0.00010000 Epoch 36, weight, value: tensor([[-0.0203, -0.0330, -0.0513, ..., -0.0109, 0.0384, -0.0551], [-0.0212, -0.0495, -0.0154, ..., 0.0778, -0.0356, 0.1061], [ 0.0163, -0.0224, -0.0066, ..., -0.0114, -0.0068, -0.0408], ..., [ 0.0022, -0.0470, 0.0811, ..., 0.0024, -0.0239, 0.0238], [-0.0035, 0.0379, -0.0517, ..., -0.0285, -0.0219, -0.0397], [-0.0347, 0.0487, 0.0459, ..., -0.0389, -0.0169, -0.0063]], device='cuda:0'), grad: tensor([[ 9.2983e-06, -1.7883e-02, -3.5439e-03, ..., -2.6321e-02, -9.7809e-03, -5.3940e-03], [ 1.7270e-05, 2.8248e-03, -2.8114e-03, ..., -1.0338e-02, 2.1420e-03, -1.6403e-03], [-8.8310e-04, 7.2975e-03, -1.8559e-03, ..., -7.8506e-03, 1.0628e-02, 2.7523e-03], ..., [ 3.0017e-04, 8.6746e-03, 1.1230e-02, ..., 9.0485e-03, 1.3285e-03, 7.3738e-03], [ 1.1104e-04, 1.1368e-02, 5.6343e-03, ..., 1.7746e-02, 4.1084e-03, 1.9646e-03], [ 7.5214e-06, -1.2123e-02, -1.2764e-02, ..., -5.2910e-03, 3.0308e-03, -8.0948e-03]], device='cuda:0') Epoch 36, bias, value: tensor([-0.0113, 0.0192, -0.0025, -0.0070, 0.0166, -0.0303, 0.0115, -0.0031, 0.0024, -0.0116], device='cuda:0'), grad: tensor([-0.0520, -0.0199, -0.0167, -0.0229, 0.0099, 0.0288, 0.0127, 0.0289, 0.0496, -0.0183], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 35---------------------------------------------------- epoch 35, time 230.67, cls_loss 0.8979 cls_loss_mapping 0.0703 cls_loss_causal 0.7711 re_mapping 0.0299 re_causal 0.0665 /// teacc 97.81 lr 0.00010000 Epoch 37, weight, value: tensor([[-0.0214, -0.0338, -0.0509, ..., -0.0100, 0.0382, -0.0546], [-0.0210, -0.0489, -0.0156, ..., 0.0780, -0.0358, 0.1064], [ 0.0173, -0.0221, -0.0072, ..., -0.0121, -0.0071, -0.0422], ..., [ 0.0021, -0.0475, 0.0819, ..., 0.0027, -0.0233, 0.0242], [-0.0048, 0.0377, -0.0518, ..., -0.0294, -0.0221, -0.0393], [-0.0347, 0.0491, 0.0450, ..., -0.0389, -0.0174, -0.0066]], device='cuda:0'), grad: tensor([[ 1.5271e-04, 5.3139e-03, 7.6218e-03, ..., -5.7793e-03, -1.8711e-03, -7.7477e-03], [ 7.6592e-05, 2.6016e-03, 3.0613e-03, ..., 1.9775e-02, 3.8981e-04, 9.1171e-03], [ 1.2791e-04, 8.2111e-04, 1.7631e-04, ..., -3.5591e-03, 1.0738e-03, -1.0691e-03], ..., [ 4.5329e-05, 6.9427e-04, 3.5400e-03, ..., 8.4839e-03, 9.2888e-04, 1.3390e-03], [-8.8978e-04, -7.7858e-03, -5.1727e-03, ..., 6.6566e-03, -1.3218e-03, 1.8654e-03], [ 2.1398e-04, 1.3638e-03, -1.0689e-02, ..., -6.5079e-03, -1.3494e-04, 3.9711e-03]], device='cuda:0') Epoch 37, bias, value: tensor([-0.0105, 0.0188, -0.0022, -0.0072, 0.0167, -0.0302, 0.0107, -0.0033, 0.0027, -0.0115], device='cuda:0'), grad: tensor([-0.0070, 0.0391, 0.0070, 0.0205, -0.0211, 0.0307, -0.0658, 0.0286, -0.0067, -0.0253], device='cuda:0') 100 0.0001 changing lr epoch 36, time 214.49, cls_loss 0.8868 cls_loss_mapping 0.0695 cls_loss_causal 0.7595 re_mapping 0.0309 re_causal 0.0675 /// teacc 97.49 lr 0.00010000 Epoch 38, weight, value: tensor([[-0.0213, -0.0335, -0.0510, ..., -0.0104, 0.0389, -0.0557], [-0.0212, -0.0497, -0.0159, ..., 0.0778, -0.0366, 0.1074], [ 0.0173, -0.0210, -0.0071, ..., -0.0124, -0.0076, -0.0430], ..., [ 0.0027, -0.0479, 0.0827, ..., 0.0046, -0.0233, 0.0248], [-0.0032, 0.0376, -0.0528, ..., -0.0293, -0.0211, -0.0387], [-0.0371, 0.0498, 0.0457, ..., -0.0397, -0.0177, -0.0068]], device='cuda:0'), grad: tensor([[ 1.0962e-06, 3.0880e-03, 6.4049e-03, ..., 2.0355e-02, 3.8204e-03, 2.0790e-03], [ 4.8764e-06, -8.3771e-03, -3.3073e-03, ..., 8.1329e-03, -2.2507e-02, -7.1030e-03], [ 2.4962e-04, 7.9727e-04, -4.1046e-03, ..., -3.8376e-03, 1.2743e-04, 1.2770e-03], ..., [ 2.4572e-05, 6.3248e-03, 5.5008e-03, ..., 3.1414e-03, 1.2192e-02, 3.6049e-03], [ 2.7746e-05, 6.3133e-04, 3.9558e-03, ..., 8.9188e-03, 1.6069e-03, 1.8940e-03], [ 5.8375e-06, -5.1355e-04, 7.9651e-03, ..., 1.2093e-02, 3.8700e-03, 2.0294e-03]], device='cuda:0') Epoch 38, bias, value: tensor([-0.0103, 0.0187, -0.0022, -0.0069, 0.0166, -0.0309, 0.0103, -0.0027, 0.0028, -0.0115], device='cuda:0'), grad: tensor([ 0.0613, -0.0061, -0.0187, -0.0197, -0.0136, -0.0352, -0.0471, 0.0176, 0.0265, 0.0349], device='cuda:0') 100 0.0001 changing lr epoch 37, time 214.46, cls_loss 0.8399 cls_loss_mapping 0.0594 cls_loss_causal 0.7121 re_mapping 0.0301 re_causal 0.0660 /// teacc 97.61 lr 0.00010000 Epoch 39, weight, value: tensor([[-0.0219, -0.0344, -0.0514, ..., -0.0116, 0.0396, -0.0573], [-0.0215, -0.0502, -0.0160, ..., 0.0779, -0.0361, 0.1080], [ 0.0160, -0.0210, -0.0059, ..., -0.0117, -0.0078, -0.0440], ..., [ 0.0035, -0.0483, 0.0821, ..., 0.0039, -0.0239, 0.0252], [-0.0027, 0.0390, -0.0539, ..., -0.0303, -0.0204, -0.0393], [-0.0375, 0.0494, 0.0466, ..., -0.0392, -0.0182, -0.0070]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 2.2888e-03, -3.5629e-03, ..., 4.6082e-03, 8.1110e-04, -1.0605e-03], [ 3.5390e-08, 2.4567e-03, 7.3776e-03, ..., 2.8515e-03, -6.3479e-05, -9.7885e-03], [ 1.8068e-07, 2.7905e-03, -2.2945e-03, ..., -2.3773e-02, -3.3474e-04, 7.0381e-04], ..., [ 1.7695e-08, -3.2330e-03, -1.2138e-02, ..., -4.0092e-03, -1.8191e-04, -3.2330e-03], [ 2.4438e-06, -3.5906e-04, 1.5373e-03, ..., 2.6016e-03, 7.1716e-04, -4.3793e-03], [ 5.5879e-09, 7.1983e-03, 4.2572e-03, ..., 9.1410e-04, 4.2176e-04, 1.1940e-02]], device='cuda:0') Epoch 39, bias, value: tensor([-0.0104, 0.0192, -0.0010, -0.0069, 0.0156, -0.0309, 0.0107, -0.0033, 0.0021, -0.0110], device='cuda:0'), grad: tensor([-0.0080, 0.0214, -0.0464, 0.0231, 0.0078, -0.0651, 0.0531, -0.0052, 0.0060, 0.0133], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 38---------------------------------------------------- epoch 38, time 232.24, cls_loss 0.8235 cls_loss_mapping 0.0562 cls_loss_causal 0.6951 re_mapping 0.0313 re_causal 0.0668 /// teacc 97.86 lr 0.00010000 Epoch 40, weight, value: tensor([[-0.0232, -0.0353, -0.0522, ..., -0.0119, 0.0396, -0.0579], [-0.0223, -0.0513, -0.0173, ..., 0.0778, -0.0347, 0.1081], [ 0.0162, -0.0213, -0.0054, ..., -0.0124, -0.0080, -0.0447], ..., [ 0.0035, -0.0474, 0.0828, ..., 0.0043, -0.0255, 0.0265], [-0.0036, 0.0396, -0.0541, ..., -0.0300, -0.0202, -0.0385], [-0.0388, 0.0498, 0.0466, ..., -0.0393, -0.0182, -0.0076]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -6.8893e-03, 4.6164e-05, ..., -4.1924e-03, -3.8552e-04, -1.7309e-03], [ 0.0000e+00, 2.0826e-04, 1.2989e-03, ..., -6.9275e-03, 8.7500e-04, -1.0010e-02], [ 0.0000e+00, -2.1195e-04, 7.0763e-03, ..., 1.3145e-02, -4.4479e-03, 1.5831e-03], ..., [ 3.7253e-07, 5.7697e-04, 6.4812e-03, ..., 1.2619e-02, 4.1008e-04, 1.6708e-03], [ 1.9651e-07, -2.8629e-03, -3.3531e-03, ..., 9.7198e-03, 2.9945e-03, 2.7122e-03], [-7.8231e-07, -2.3289e-03, -1.4664e-02, ..., -1.4641e-02, -6.2103e-03, 3.3855e-03]], device='cuda:0') Epoch 40, bias, value: tensor([-0.0107, 0.0186, -0.0012, -0.0070, 0.0165, -0.0311, 0.0110, -0.0034, 0.0019, -0.0107], device='cuda:0'), grad: tensor([-0.0117, -0.0254, 0.0353, 0.0096, -0.1215, 0.0702, 0.0079, 0.0341, 0.0174, -0.0159], device='cuda:0') 100 0.0001 changing lr epoch 39, time 214.37, cls_loss 0.8404 cls_loss_mapping 0.0599 cls_loss_causal 0.7230 re_mapping 0.0281 re_causal 0.0608 /// teacc 97.67 lr 0.00010000 Epoch 41, weight, value: tensor([[-0.0242, -0.0349, -0.0527, ..., -0.0125, 0.0394, -0.0578], [-0.0215, -0.0518, -0.0172, ..., 0.0781, -0.0361, 0.1100], [ 0.0154, -0.0219, -0.0056, ..., -0.0122, -0.0069, -0.0449], ..., [ 0.0030, -0.0476, 0.0833, ..., 0.0050, -0.0263, 0.0256], [-0.0042, 0.0402, -0.0543, ..., -0.0298, -0.0202, -0.0383], [-0.0385, 0.0500, 0.0467, ..., -0.0391, -0.0177, -0.0080]], device='cuda:0'), grad: tensor([[ 3.9376e-06, -3.7918e-03, -4.1122e-03, ..., -3.0785e-03, 2.0351e-03, 2.2621e-03], [ 1.5320e-06, 1.2569e-03, 1.0624e-03, ..., -9.4128e-04, 6.5327e-04, -2.0142e-03], [ 5.2527e-07, 7.3481e-04, -3.4084e-03, ..., -9.0256e-03, -2.0599e-03, 6.9857e-04], ..., [ 3.4887e-06, 4.3869e-03, 5.2376e-03, ..., 5.4665e-03, 2.1572e-03, 3.5992e-03], [-2.6494e-05, -3.9337e-02, -1.6846e-02, ..., 2.0542e-03, -3.4607e-02, 2.0542e-03], [ 2.2240e-06, 2.6733e-02, 7.9269e-03, ..., -8.3542e-03, 2.3590e-02, -1.2383e-02]], device='cuda:0') Epoch 41, bias, value: tensor([-0.0107, 0.0192, -0.0012, -0.0070, 0.0164, -0.0315, 0.0106, -0.0034, 0.0022, -0.0107], device='cuda:0'), grad: tensor([-0.0532, 0.0065, -0.0217, 0.0141, 0.0393, 0.0370, -0.0051, 0.0211, -0.0089, -0.0292], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 40---------------------------------------------------- epoch 40, time 230.61, cls_loss 0.8366 cls_loss_mapping 0.0535 cls_loss_causal 0.7018 re_mapping 0.0299 re_causal 0.0630 /// teacc 98.00 lr 0.00010000 Epoch 42, weight, value: tensor([[-0.0247, -0.0359, -0.0540, ..., -0.0134, 0.0387, -0.0594], [-0.0214, -0.0534, -0.0181, ..., 0.0777, -0.0359, 0.1100], [ 0.0154, -0.0225, -0.0056, ..., -0.0117, -0.0067, -0.0444], ..., [ 0.0017, -0.0487, 0.0838, ..., 0.0053, -0.0268, 0.0265], [-0.0057, 0.0392, -0.0554, ..., -0.0297, -0.0203, -0.0385], [-0.0379, 0.0497, 0.0467, ..., -0.0386, -0.0191, -0.0089]], device='cuda:0'), grad: tensor([[ 2.4587e-05, 7.0095e-05, 2.5406e-03, ..., 6.4888e-03, 8.6117e-04, 2.3022e-03], [ 3.7905e-06, 2.1350e-04, -5.5695e-03, ..., -4.8447e-03, 5.2643e-03, -7.2098e-03], [-9.7580e-03, -8.0719e-03, -7.3792e-02, ..., -2.8397e-02, -2.1912e-02, -2.8961e-02], ..., [ 6.9847e-03, 7.0610e-03, 3.2990e-02, ..., 2.2400e-02, 1.0139e-02, 2.0859e-02], [-3.2158e-03, 2.5201e-04, 4.3716e-03, ..., 5.4359e-03, 1.1997e-03, 2.3441e-03], [ 4.0948e-05, -4.3526e-03, -2.2144e-03, ..., 1.7796e-03, -1.9312e-03, 7.9966e-04]], device='cuda:0') Epoch 42, bias, value: tensor([-0.0112, 0.0189, -0.0012, -0.0072, 0.0172, -0.0308, 0.0105, -0.0036, 0.0027, -0.0113], device='cuda:0'), grad: tensor([ 2.6901e-02, 7.4911e-04, -1.1530e-01, 5.2155e-02, -5.7012e-05, -2.2003e-02, -9.4223e-03, 6.0272e-02, 8.9798e-03, -2.2106e-03], device='cuda:0') 100 0.0001 changing lr epoch 41, time 214.46, cls_loss 0.8315 cls_loss_mapping 0.0527 cls_loss_causal 0.7021 re_mapping 0.0285 re_causal 0.0613 /// teacc 97.82 lr 0.00010000 Epoch 43, weight, value: tensor([[-0.0258, -0.0356, -0.0537, ..., -0.0131, 0.0393, -0.0585], [-0.0229, -0.0541, -0.0179, ..., 0.0780, -0.0367, 0.1108], [ 0.0163, -0.0231, -0.0052, ..., -0.0122, -0.0064, -0.0452], ..., [ 0.0010, -0.0485, 0.0835, ..., 0.0052, -0.0281, 0.0275], [-0.0056, 0.0395, -0.0567, ..., -0.0292, -0.0200, -0.0392], [-0.0376, 0.0507, 0.0472, ..., -0.0396, -0.0181, -0.0104]], device='cuda:0'), grad: tensor([[ 8.6352e-06, -8.6021e-04, 1.6575e-03, ..., 1.9789e-04, 6.4468e-03, -2.5082e-03], [ 1.4426e-06, -3.9792e-04, -7.7629e-03, ..., -5.9929e-03, -5.9662e-03, -7.4348e-03], [ 2.0824e-06, 1.4639e-03, 1.8492e-03, ..., 4.7760e-03, 1.4191e-03, 2.4548e-03], ..., [ 8.9109e-06, 7.3814e-04, -1.7061e-03, ..., -4.4479e-03, -8.2855e-03, -5.9090e-03], [ 3.3110e-05, 9.6436e-03, 5.7526e-03, ..., 8.7051e-03, -1.0338e-02, 4.0550e-03], [ 2.0951e-05, 1.7033e-03, 3.3531e-03, ..., 4.6730e-03, 6.4812e-03, 4.9553e-03]], device='cuda:0') Epoch 43, bias, value: tensor([-0.0111, 0.0189, -0.0016, -0.0065, 0.0169, -0.0315, 0.0103, -0.0037, 0.0030, -0.0110], device='cuda:0'), grad: tensor([ 0.0116, -0.0250, 0.0182, -0.0217, 0.0144, -0.0065, 0.0105, -0.0472, 0.0113, 0.0345], device='cuda:0') 100 0.0001 changing lr epoch 42, time 214.13, cls_loss 0.8412 cls_loss_mapping 0.0525 cls_loss_causal 0.7236 re_mapping 0.0277 re_causal 0.0601 /// teacc 97.83 lr 0.00010000 Epoch 44, weight, value: tensor([[-0.0266, -0.0364, -0.0533, ..., -0.0139, 0.0397, -0.0579], [-0.0228, -0.0546, -0.0179, ..., 0.0775, -0.0369, 0.1109], [ 0.0169, -0.0229, -0.0058, ..., -0.0121, -0.0070, -0.0470], ..., [ 0.0010, -0.0499, 0.0838, ..., 0.0056, -0.0290, 0.0279], [-0.0068, 0.0392, -0.0563, ..., -0.0286, -0.0204, -0.0395], [-0.0386, 0.0511, 0.0463, ..., -0.0400, -0.0173, -0.0105]], device='cuda:0'), grad: tensor([[ 2.2545e-05, 3.1929e-03, 2.9945e-03, ..., -4.0054e-03, -1.1391e-02, -9.6512e-03], [ 4.6206e-04, 1.9331e-03, 2.5883e-03, ..., 5.8441e-03, 5.9242e-03, 7.4844e-03], [ 2.7359e-05, 5.6458e-04, 9.0714e-03, ..., 7.5865e-04, 2.2602e-03, 1.0052e-03], ..., [-1.2302e-03, 2.4533e-04, 4.7684e-03, ..., 9.0790e-04, 1.0262e-02, -8.8272e-03], [ 4.4394e-04, 6.4278e-03, 6.1684e-03, ..., 4.4060e-03, 4.0741e-03, 6.6528e-03], [ 8.2612e-05, -8.5449e-03, -2.5635e-02, ..., 1.9855e-03, -1.9180e-02, -1.7929e-03]], device='cuda:0') Epoch 44, bias, value: tensor([-0.0118, 0.0184, -0.0016, -0.0068, 0.0172, -0.0310, 0.0108, -0.0042, 0.0037, -0.0111], device='cuda:0'), grad: tensor([-0.0061, 0.0322, 0.0255, 0.0339, 0.0120, -0.0120, -0.0852, -0.0016, 0.0267, -0.0255], device='cuda:0') 100 0.0001 changing lr epoch 43, time 214.28, cls_loss 0.8535 cls_loss_mapping 0.0513 cls_loss_causal 0.7193 re_mapping 0.0275 re_causal 0.0591 /// teacc 97.80 lr 0.00010000 Epoch 45, weight, value: tensor([[-0.0269, -0.0368, -0.0535, ..., -0.0133, 0.0403, -0.0577], [-0.0232, -0.0534, -0.0171, ..., 0.0778, -0.0359, 0.1114], [ 0.0170, -0.0240, -0.0063, ..., -0.0116, -0.0078, -0.0469], ..., [ 0.0019, -0.0497, 0.0852, ..., 0.0055, -0.0287, 0.0278], [-0.0083, 0.0391, -0.0571, ..., -0.0287, -0.0193, -0.0408], [-0.0386, 0.0511, 0.0475, ..., -0.0404, -0.0181, -0.0099]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0035, 0.0029, ..., 0.0034, -0.0003, 0.0030], [ 0.0000, -0.0058, 0.0009, ..., -0.0060, 0.0005, -0.0031], [ 0.0000, 0.0058, 0.0068, ..., 0.0003, -0.0017, 0.0025], ..., [ 0.0000, -0.0235, -0.0384, ..., 0.0007, -0.0003, -0.0023], [ 0.0000, 0.0278, 0.0376, ..., 0.0070, 0.0064, 0.0043], [ 0.0000, -0.0258, 0.0038, ..., 0.0023, 0.0011, 0.0009]], device='cuda:0') Epoch 45, bias, value: tensor([-0.0112, 0.0187, -0.0015, -0.0073, 0.0166, -0.0308, 0.0110, -0.0043, 0.0042, -0.0115], device='cuda:0'), grad: tensor([ 0.0165, -0.0094, 0.0056, 0.0151, 0.0002, -0.0140, -0.0166, -0.0218, 0.0394, -0.0150], device='cuda:0') 100 0.0001 changing lr epoch 44, time 214.16, cls_loss 0.7860 cls_loss_mapping 0.0463 cls_loss_causal 0.6671 re_mapping 0.0279 re_causal 0.0599 /// teacc 97.91 lr 0.00010000 Epoch 46, weight, value: tensor([[-0.0265, -0.0362, -0.0530, ..., -0.0141, 0.0403, -0.0572], [-0.0233, -0.0544, -0.0175, ..., 0.0787, -0.0359, 0.1127], [ 0.0172, -0.0239, -0.0063, ..., -0.0117, -0.0078, -0.0469], ..., [ 0.0008, -0.0494, 0.0853, ..., 0.0055, -0.0285, 0.0283], [-0.0064, 0.0384, -0.0582, ..., -0.0291, -0.0187, -0.0421], [-0.0400, 0.0522, 0.0479, ..., -0.0413, -0.0173, -0.0098]], device='cuda:0'), grad: tensor([[ 2.3842e-06, 2.9011e-03, 7.9803e-03, ..., 1.0704e-02, 0.0000e+00, 3.8757e-03], [ 5.5954e-06, -7.1907e-03, -6.5613e-03, ..., -1.4473e-02, 3.7253e-09, -5.2109e-03], [ 1.7256e-05, -1.6289e-03, -8.6288e-03, ..., 9.3231e-03, -1.5691e-05, 4.6158e-03], ..., [-1.2803e-04, 1.6356e-03, 7.8735e-03, ..., 1.2817e-02, 5.7630e-06, 8.8577e-03], [ 3.5673e-05, 2.8172e-03, 7.3128e-03, ..., 9.1629e-03, 5.0385e-07, 6.5079e-03], [ 1.0127e-04, -3.5667e-03, -6.1188e-03, ..., -1.1826e-02, 0.0000e+00, -8.1406e-03]], device='cuda:0') Epoch 46, bias, value: tensor([-0.0118, 0.0187, -0.0010, -0.0075, 0.0171, -0.0307, 0.0106, -0.0039, 0.0035, -0.0112], device='cuda:0'), grad: tensor([ 0.0303, -0.0233, 0.0107, -0.0123, -0.0010, 0.0173, -0.0536, 0.0394, 0.0294, -0.0369], device='cuda:0') 100 0.0001 changing lr epoch 45, time 214.15, cls_loss 0.8077 cls_loss_mapping 0.0431 cls_loss_causal 0.6804 re_mapping 0.0275 re_causal 0.0606 /// teacc 97.75 lr 0.00010000 Epoch 47, weight, value: tensor([[-0.0266, -0.0369, -0.0545, ..., -0.0157, 0.0402, -0.0584], [-0.0245, -0.0549, -0.0185, ..., 0.0784, -0.0354, 0.1143], [ 0.0178, -0.0237, -0.0060, ..., -0.0128, -0.0078, -0.0451], ..., [ 0.0006, -0.0493, 0.0860, ..., 0.0066, -0.0288, 0.0279], [-0.0064, 0.0391, -0.0579, ..., -0.0291, -0.0190, -0.0424], [-0.0396, 0.0510, 0.0470, ..., -0.0416, -0.0171, -0.0110]], device='cuda:0'), grad: tensor([[ 8.8394e-05, -2.6360e-03, 2.5177e-03, ..., 3.4523e-03, -9.5062e-03, 7.6818e-04], [ 3.8922e-05, 6.7616e-04, 6.0892e-04, ..., -8.0566e-03, 5.8889e-04, 1.2195e-04], [-1.1063e-04, -1.4893e-02, 3.1021e-02, ..., 1.4191e-02, -5.3823e-05, 3.0766e-03], ..., [-2.4624e-03, -4.1389e-04, -5.9204e-02, ..., -3.5675e-02, 5.2786e-04, -3.4599e-03], [-2.1072e-02, -1.1787e-02, 1.5574e-03, ..., 8.1635e-03, 2.4452e-03, -2.6464e-05], [ 2.0645e-02, 1.3275e-02, -1.0099e-03, ..., 6.5422e-03, 9.8133e-04, -1.7529e-03]], device='cuda:0') Epoch 47, bias, value: tensor([-0.0122, 0.0188, -0.0008, -0.0070, 0.0179, -0.0313, 0.0108, -0.0037, 0.0032, -0.0118], device='cuda:0'), grad: tensor([-0.0014, -0.0146, 0.0055, 0.0422, -0.0097, 0.0379, -0.0322, -0.0515, -0.0092, 0.0328], device='cuda:0') 100 0.0001 changing lr epoch 46, time 214.19, cls_loss 0.7863 cls_loss_mapping 0.0411 cls_loss_causal 0.6665 re_mapping 0.0271 re_causal 0.0585 /// teacc 97.63 lr 0.00010000 Epoch 48, weight, value: tensor([[-0.0253, -0.0380, -0.0553, ..., -0.0157, 0.0411, -0.0588], [-0.0249, -0.0556, -0.0182, ..., 0.0796, -0.0358, 0.1152], [ 0.0178, -0.0237, -0.0064, ..., -0.0136, -0.0072, -0.0459], ..., [ 0.0003, -0.0495, 0.0873, ..., 0.0066, -0.0283, 0.0281], [-0.0044, 0.0392, -0.0587, ..., -0.0287, -0.0194, -0.0431], [-0.0416, 0.0516, 0.0463, ..., -0.0425, -0.0181, -0.0108]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0014, -0.0050, ..., -0.0029, 0.0008, -0.0017], [ 0.0000, 0.0085, 0.0052, ..., 0.0086, 0.0043, 0.0013], [ 0.0000, 0.0004, -0.0135, ..., -0.0191, -0.0093, -0.0071], ..., [ 0.0000, 0.0024, 0.0115, ..., 0.0154, 0.0011, 0.0073], [ 0.0000, -0.0082, -0.0032, ..., -0.0034, -0.0106, -0.0022], [ 0.0000, -0.0030, 0.0038, ..., 0.0057, 0.0009, 0.0024]], device='cuda:0') Epoch 48, bias, value: tensor([-0.0125, 0.0200, -0.0012, -0.0066, 0.0175, -0.0311, 0.0102, -0.0040, 0.0037, -0.0121], device='cuda:0'), grad: tensor([-0.0083, 0.0297, -0.0665, -0.0049, 0.0281, -0.0093, 0.0003, 0.0418, -0.0057, -0.0051], device='cuda:0') 100 0.0001 changing lr epoch 47, time 214.51, cls_loss 0.8393 cls_loss_mapping 0.0487 cls_loss_causal 0.7269 re_mapping 0.0271 re_causal 0.0585 /// teacc 97.90 lr 0.00010000 Epoch 49, weight, value: tensor([[-0.0266, -0.0391, -0.0557, ..., -0.0162, 0.0411, -0.0594], [-0.0249, -0.0560, -0.0191, ..., 0.0792, -0.0370, 0.1154], [ 0.0175, -0.0236, -0.0069, ..., -0.0134, -0.0065, -0.0461], ..., [ 0.0002, -0.0500, 0.0877, ..., 0.0076, -0.0297, 0.0286], [-0.0049, 0.0392, -0.0581, ..., -0.0300, -0.0193, -0.0435], [-0.0412, 0.0524, 0.0463, ..., -0.0431, -0.0174, -0.0112]], device='cuda:0'), grad: tensor([[ 0.0000, -0.0019, -0.0104, ..., -0.0130, 0.0040, -0.0121], [ 0.0000, 0.0019, 0.0043, ..., 0.0066, 0.0036, 0.0040], [ 0.0000, 0.0015, 0.0037, ..., 0.0072, 0.0028, 0.0037], ..., [ 0.0000, 0.0019, -0.0011, ..., 0.0106, 0.0035, -0.0009], [ 0.0000, 0.0031, 0.0024, ..., 0.0076, 0.0053, 0.0077], [ 0.0000, -0.0044, -0.0052, ..., -0.0353, -0.0100, -0.0035]], device='cuda:0') Epoch 49, bias, value: tensor([-0.0130, 0.0194, -0.0012, -0.0069, 0.0181, -0.0308, 0.0110, -0.0039, 0.0034, -0.0123], device='cuda:0'), grad: tensor([-0.0370, 0.0163, 0.0215, 0.0089, -0.0383, 0.0341, -0.0009, 0.0178, 0.0581, -0.0804], device='cuda:0') 100 0.0001 changing lr epoch 48, time 214.35, cls_loss 0.8274 cls_loss_mapping 0.0519 cls_loss_causal 0.7216 re_mapping 0.0261 re_causal 0.0562 /// teacc 97.90 lr 0.00010000 Epoch 50, weight, value: tensor([[-0.0273, -0.0390, -0.0560, ..., -0.0154, 0.0410, -0.0593], [-0.0251, -0.0572, -0.0198, ..., 0.0793, -0.0365, 0.1161], [ 0.0178, -0.0234, -0.0062, ..., -0.0134, -0.0071, -0.0453], ..., [ 0.0007, -0.0503, 0.0878, ..., 0.0075, -0.0297, 0.0291], [-0.0055, 0.0393, -0.0576, ..., -0.0303, -0.0191, -0.0456], [-0.0407, 0.0527, 0.0462, ..., -0.0429, -0.0175, -0.0120]], device='cuda:0'), grad: tensor([[ 4.6082e-06, 3.2663e-04, 4.4465e-04, ..., -1.6022e-04, 9.1171e-04, 9.1410e-04], [ 1.0714e-05, 1.8692e-03, 1.5697e-03, ..., 7.6981e-03, 5.7640e-03, 1.9932e-03], [-5.0402e-04, 1.1301e-03, -1.5518e-02, ..., -6.5231e-03, 1.2665e-03, -1.7633e-03], ..., [ 3.8004e-04, 7.6437e-04, 9.4528e-03, ..., -9.5129e-04, -2.4170e-02, 1.9093e-03], [ 1.0267e-05, -1.7975e-02, -6.0797e-04, ..., -2.1343e-03, 3.9406e-03, -1.1225e-03], [ 9.0227e-06, 1.7691e-03, 4.9057e-03, ..., 9.3231e-03, 6.0310e-03, 4.9400e-03]], device='cuda:0') Epoch 50, bias, value: tensor([-0.0127, 0.0189, -0.0014, -0.0070, 0.0179, -0.0315, 0.0110, -0.0039, 0.0040, -0.0116], device='cuda:0'), grad: tensor([-0.0119, 0.0499, -0.0160, 0.0387, -0.0546, 0.0052, 0.0005, -0.0764, 0.0156, 0.0490], device='cuda:0') 100 0.0001 changing lr epoch 49, time 214.61, cls_loss 0.7766 cls_loss_mapping 0.0506 cls_loss_causal 0.6567 re_mapping 0.0265 re_causal 0.0555 /// teacc 97.78 lr 0.00010000 Epoch 51, weight, value: tensor([[-0.0280, -0.0398, -0.0561, ..., -0.0159, 0.0412, -0.0589], [-0.0236, -0.0579, -0.0202, ..., 0.0794, -0.0367, 0.1173], [ 0.0189, -0.0229, -0.0056, ..., -0.0130, -0.0065, -0.0448], ..., [ 0.0014, -0.0511, 0.0877, ..., 0.0074, -0.0297, 0.0287], [-0.0054, 0.0405, -0.0583, ..., -0.0307, -0.0194, -0.0465], [-0.0424, 0.0530, 0.0462, ..., -0.0429, -0.0191, -0.0122]], device='cuda:0'), grad: tensor([[ 6.1393e-06, 3.2330e-04, 1.0433e-03, ..., 5.2185e-03, 1.5116e-03, 3.6850e-03], [-3.0088e-04, -9.0885e-04, -6.3324e-03, ..., -1.8402e-02, -8.2321e-03, -1.6571e-02], [ 2.5541e-05, 7.1239e-04, -1.2581e-02, ..., -1.9684e-02, -1.2159e-03, -9.7046e-03], ..., [ 4.7469e-04, 4.2200e-04, 2.8992e-02, ..., 1.7029e-02, 1.2379e-03, 2.0401e-02], [ 1.1081e-04, -4.3373e-03, -3.7594e-03, ..., -8.1635e-03, 4.6730e-04, -4.9591e-03], [ 9.7561e-04, 2.9125e-03, -1.5869e-02, ..., 4.5624e-03, 9.5129e-05, -3.1338e-03]], device='cuda:0') Epoch 51, bias, value: tensor([-0.0128, 0.0190, -0.0006, -0.0072, 0.0179, -0.0310, 0.0118, -0.0039, 0.0030, -0.0121], device='cuda:0'), grad: tensor([ 0.0217, -0.0477, -0.0093, 0.0204, -0.0313, 0.0171, 0.0219, 0.0746, -0.0645, -0.0030], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 50---------------------------------------------------- epoch 50, time 231.21, cls_loss 0.7822 cls_loss_mapping 0.0408 cls_loss_causal 0.6600 re_mapping 0.0263 re_causal 0.0578 /// teacc 98.04 lr 0.00010000 Epoch 52, weight, value: tensor([[-0.0297, -0.0397, -0.0564, ..., -0.0170, 0.0408, -0.0593], [-0.0215, -0.0588, -0.0217, ..., 0.0805, -0.0365, 0.1182], [ 0.0194, -0.0240, -0.0057, ..., -0.0130, -0.0063, -0.0445], ..., [-0.0006, -0.0517, 0.0879, ..., 0.0069, -0.0306, 0.0294], [-0.0053, 0.0405, -0.0587, ..., -0.0307, -0.0185, -0.0477], [-0.0434, 0.0540, 0.0470, ..., -0.0432, -0.0197, -0.0127]], device='cuda:0'), grad: tensor([[ 1.3923e-07, 7.1049e-04, 7.1955e-04, ..., -1.3535e-02, 1.7548e-02, -1.3336e-02], [ 3.4738e-07, -8.0776e-04, -1.0624e-03, ..., -2.0161e-03, -2.7878e-02, -3.7041e-03], [ 2.0787e-06, 1.5688e-03, -7.2956e-04, ..., -6.3477e-03, 3.5439e-03, -5.0211e-04], ..., [ 2.8452e-07, 6.3133e-03, 6.3553e-03, ..., 4.1733e-03, -4.0550e-03, 1.7151e-02], [-4.8243e-06, -4.5419e-04, 8.8577e-03, ..., 1.0109e-02, -1.5736e-03, 5.9624e-03], [ 3.0873e-07, -1.2032e-02, -1.7151e-02, ..., 3.1548e-03, 1.7567e-03, -1.4557e-02]], device='cuda:0') Epoch 52, bias, value: tensor([-0.0132, 0.0192, -0.0005, -0.0067, 0.0181, -0.0316, 0.0113, -0.0039, 0.0035, -0.0124], device='cuda:0'), grad: tensor([-0.0156, -0.0148, -0.0235, 0.0211, -0.0049, 0.0145, -0.0173, 0.0565, 0.0051, -0.0214], device='cuda:0') 100 0.0001 changing lr epoch 51, time 214.54, cls_loss 0.7783 cls_loss_mapping 0.0382 cls_loss_causal 0.6703 re_mapping 0.0244 re_causal 0.0536 /// teacc 97.94 lr 0.00010000 Epoch 53, weight, value: tensor([[-0.0277, -0.0394, -0.0567, ..., -0.0176, 0.0394, -0.0594], [-0.0216, -0.0584, -0.0228, ..., 0.0801, -0.0360, 0.1187], [ 0.0196, -0.0261, -0.0066, ..., -0.0140, -0.0063, -0.0454], ..., [-0.0010, -0.0527, 0.0885, ..., 0.0074, -0.0300, 0.0288], [-0.0058, 0.0413, -0.0588, ..., -0.0311, -0.0185, -0.0478], [-0.0436, 0.0536, 0.0475, ..., -0.0426, -0.0213, -0.0120]], device='cuda:0'), grad: tensor([[ 1.0366e-06, 2.3997e-04, 8.7738e-04, ..., -4.0512e-03, -5.0278e-03, -2.8496e-03], [ 2.0210e-06, 1.7464e-05, -1.7538e-03, ..., 3.3131e-03, 1.1883e-03, -8.7214e-04], [ 1.0341e-05, 8.1599e-05, 4.2076e-03, ..., 8.3847e-03, 5.9271e-04, 1.4267e-03], ..., [ 5.9642e-06, 6.2943e-04, 3.0785e-03, ..., 4.0894e-03, 7.3433e-04, 1.8616e-03], [ 7.4208e-05, 1.3466e-03, 4.1389e-03, ..., 7.3166e-03, 8.9979e-04, 2.6627e-03], [ 3.3453e-06, -2.6131e-03, -6.2132e-04, ..., 2.2354e-03, 5.2023e-04, 7.2575e-04]], device='cuda:0') Epoch 53, bias, value: tensor([-0.0131, 0.0187, -0.0014, -0.0058, 0.0180, -0.0322, 0.0117, -0.0038, 0.0037, -0.0121], device='cuda:0'), grad: tensor([-0.0162, 0.0025, 0.0170, -0.0415, -0.0117, -0.0176, 0.0053, 0.0078, 0.0278, 0.0266], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 52---------------------------------------------------- epoch 52, time 225.86, cls_loss 0.8073 cls_loss_mapping 0.0421 cls_loss_causal 0.6886 re_mapping 0.0252 re_causal 0.0560 /// teacc 98.05 lr 0.00010000 Epoch 54, weight, value: tensor([[-0.0281, -0.0392, -0.0567, ..., -0.0176, 0.0395, -0.0594], [-0.0218, -0.0575, -0.0233, ..., 0.0798, -0.0356, 0.1201], [ 0.0196, -0.0264, -0.0068, ..., -0.0138, -0.0056, -0.0445], ..., [-0.0014, -0.0528, 0.0890, ..., 0.0077, -0.0312, 0.0297], [-0.0065, 0.0426, -0.0597, ..., -0.0308, -0.0177, -0.0493], [-0.0434, 0.0544, 0.0477, ..., -0.0433, -0.0213, -0.0119]], device='cuda:0'), grad: tensor([[ 7.4133e-06, 3.2365e-05, -3.4027e-03, ..., -2.8114e-03, 2.4033e-03, 1.1330e-03], [ 8.7768e-06, -4.8065e-04, -1.9341e-03, ..., -7.5684e-03, 7.3910e-04, -2.7275e-03], [ 1.1295e-05, 8.2374e-05, -1.5516e-03, ..., -3.3207e-03, 4.0913e-04, -6.9008e-03], ..., [ 8.3894e-06, -3.4124e-05, -9.5901e-03, ..., 2.9984e-03, -1.9577e-02, -3.8338e-03], [-1.8616e-03, -9.6416e-04, 3.0651e-03, ..., -4.7150e-03, 1.4715e-03, -3.3817e-03], [ 1.2696e-05, 5.8591e-05, 2.7275e-03, ..., -6.1646e-03, 1.5574e-03, 2.0199e-03]], device='cuda:0') Epoch 54, bias, value: tensor([-0.0135, 0.0190, -0.0014, -0.0054, 0.0179, -0.0318, 0.0111, -0.0035, 0.0034, -0.0123], device='cuda:0'), grad: tensor([-0.0037, -0.0090, -0.0682, 0.0423, 0.0419, 0.0076, 0.0186, -0.0336, 0.0029, 0.0012], device='cuda:0') 100 0.0001 changing lr epoch 53, time 214.44, cls_loss 0.8212 cls_loss_mapping 0.0434 cls_loss_causal 0.7036 re_mapping 0.0250 re_causal 0.0556 /// teacc 98.01 lr 0.00010000 Epoch 55, weight, value: tensor([[-0.0287, -0.0406, -0.0567, ..., -0.0183, 0.0381, -0.0600], [-0.0223, -0.0577, -0.0231, ..., 0.0804, -0.0359, 0.1208], [ 0.0194, -0.0270, -0.0077, ..., -0.0143, -0.0064, -0.0449], ..., [-0.0018, -0.0532, 0.0891, ..., 0.0069, -0.0310, 0.0296], [-0.0063, 0.0417, -0.0602, ..., -0.0312, -0.0167, -0.0481], [-0.0431, 0.0542, 0.0482, ..., -0.0409, -0.0214, -0.0112]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -3.1948e-04, -2.6631e-04, ..., -5.7144e-03, -1.9722e-03, -8.1396e-04], [ 0.0000e+00, 1.2815e-04, 1.4429e-03, ..., 1.8921e-02, 5.6297e-05, 2.9316e-03], [ 0.0000e+00, 6.8245e-03, 1.6890e-03, ..., 4.2458e-03, 8.3208e-05, 4.3273e-04], ..., [ 0.0000e+00, 2.6913e-03, -6.9313e-03, ..., -4.3068e-03, 1.6570e-05, -3.6926e-03], [ 0.0000e+00, 2.9736e-03, 1.3962e-03, ..., -3.3779e-03, 1.0920e-03, 6.6328e-04], [ 0.0000e+00, -3.1223e-03, 8.0204e-04, ..., 5.0507e-03, 6.8843e-05, 1.8816e-03]], device='cuda:0') Epoch 55, bias, value: tensor([-0.0132, 0.0183, -0.0014, -0.0057, 0.0177, -0.0321, 0.0108, -0.0041, 0.0038, -0.0106], device='cuda:0'), grad: tensor([-0.0047, 0.0443, -0.0064, -0.0505, 0.0266, 0.0004, -0.0220, -0.0387, 0.0181, 0.0328], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 54---------------------------------------------------- epoch 54, time 225.54, cls_loss 0.7806 cls_loss_mapping 0.0391 cls_loss_causal 0.6577 re_mapping 0.0252 re_causal 0.0520 /// teacc 98.07 lr 0.00010000 Epoch 56, weight, value: tensor([[-0.0294, -0.0408, -0.0560, ..., -0.0185, 0.0391, -0.0595], [-0.0217, -0.0582, -0.0228, ..., 0.0811, -0.0338, 0.1209], [ 0.0205, -0.0273, -0.0082, ..., -0.0143, -0.0068, -0.0450], ..., [-0.0016, -0.0535, 0.0899, ..., 0.0068, -0.0320, 0.0296], [-0.0073, 0.0405, -0.0613, ..., -0.0312, -0.0173, -0.0482], [-0.0430, 0.0554, 0.0482, ..., -0.0415, -0.0213, -0.0120]], device='cuda:0'), grad: tensor([[ 0.0000, 0.0028, 0.0024, ..., 0.0088, 0.0022, 0.0006], [ 0.0000, 0.0012, -0.0077, ..., 0.0049, 0.0007, -0.0081], [ 0.0000, -0.0104, -0.0026, ..., -0.0283, -0.0184, 0.0015], ..., [ 0.0000, 0.0023, 0.0058, ..., -0.0049, 0.0012, 0.0017], [ 0.0000, 0.0058, -0.0004, ..., 0.0025, 0.0016, 0.0010], [ 0.0000, -0.0023, -0.0026, ..., -0.0049, 0.0012, 0.0023]], device='cuda:0') Epoch 56, bias, value: tensor([-0.0128, 0.0191, -0.0011, -0.0063, 0.0173, -0.0320, 0.0117, -0.0046, 0.0032, -0.0109], device='cuda:0'), grad: tensor([ 0.0180, -0.0137, -0.0435, 0.0233, 0.0139, -0.0347, 0.0319, 0.0141, -0.0040, -0.0053], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 55---------------------------------------------------- epoch 55, time 230.52, cls_loss 0.7956 cls_loss_mapping 0.0358 cls_loss_causal 0.6772 re_mapping 0.0240 re_causal 0.0522 /// teacc 98.14 lr 0.00010000 Epoch 57, weight, value: tensor([[-0.0287, -0.0414, -0.0566, ..., -0.0188, 0.0385, -0.0596], [-0.0225, -0.0580, -0.0231, ..., 0.0812, -0.0343, 0.1225], [ 0.0199, -0.0282, -0.0085, ..., -0.0151, -0.0064, -0.0457], ..., [-0.0019, -0.0535, 0.0900, ..., 0.0075, -0.0339, 0.0300], [-0.0079, 0.0407, -0.0614, ..., -0.0307, -0.0167, -0.0481], [-0.0424, 0.0553, 0.0477, ..., -0.0428, -0.0199, -0.0134]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -1.7285e-06, -3.2532e-02, ..., -5.9700e-03, -1.4107e-02, -3.7622e-04], [ 0.0000e+00, -2.8872e-04, -8.3008e-03, ..., -1.1055e-02, 2.3632e-03, -8.0585e-04], [ 0.0000e+00, 1.4944e-03, 6.0005e-03, ..., 3.7861e-03, 3.6678e-03, 9.0647e-04], ..., [ 0.0000e+00, 4.1103e-04, 1.7120e-02, ..., -3.1700e-03, 6.7978e-03, -1.6479e-02], [ 0.0000e+00, -6.2103e-03, 9.0408e-04, ..., -1.0384e-02, -1.3420e-02, -3.3264e-03], [ 0.0000e+00, 2.3117e-03, 4.7646e-03, ..., 1.5459e-03, 4.7607e-03, 3.7270e-03]], device='cuda:0') Epoch 57, bias, value: tensor([-0.0127, 0.0192, -0.0008, -0.0067, 0.0177, -0.0309, 0.0109, -0.0048, 0.0034, -0.0115], device='cuda:0'), grad: tensor([-0.0558, -0.0441, 0.0076, 0.0169, 0.0490, -0.0013, 0.0370, 0.0051, -0.0312, 0.0169], device='cuda:0') 100 0.0001 changing lr epoch 56, time 214.70, cls_loss 0.7937 cls_loss_mapping 0.0359 cls_loss_causal 0.6811 re_mapping 0.0238 re_causal 0.0520 /// teacc 97.78 lr 0.00010000 Epoch 58, weight, value: tensor([[-0.0274, -0.0410, -0.0570, ..., -0.0190, 0.0396, -0.0601], [-0.0225, -0.0583, -0.0235, ..., 0.0818, -0.0351, 0.1233], [ 0.0200, -0.0282, -0.0090, ..., -0.0149, -0.0065, -0.0461], ..., [-0.0019, -0.0543, 0.0905, ..., 0.0070, -0.0338, 0.0298], [-0.0086, 0.0411, -0.0628, ..., -0.0318, -0.0161, -0.0481], [-0.0424, 0.0542, 0.0480, ..., -0.0424, -0.0206, -0.0133]], device='cuda:0'), grad: tensor([[ 6.7614e-06, -2.1577e-04, 3.1395e-03, ..., 7.5607e-03, -4.6272e-03, 1.2121e-03], [ 9.0152e-06, 5.4359e-05, 3.2692e-03, ..., 1.8723e-02, 3.4447e-03, 6.3229e-04], [ 2.6369e-04, 9.8038e-04, -1.4343e-03, ..., -1.3405e-02, 2.4128e-03, 1.4963e-03], ..., [-5.3692e-04, 1.5345e-03, -8.4381e-03, ..., -6.0387e-03, 3.2425e-03, 1.6775e-03], [ 9.3207e-06, 8.1599e-05, 2.5406e-03, ..., -9.1095e-03, -2.4071e-03, -6.6817e-05], [ 1.9953e-05, -2.5158e-03, 4.8399e-04, ..., 9.0637e-03, 1.9264e-03, -2.2106e-03]], device='cuda:0') Epoch 58, bias, value: tensor([-0.0125, 0.0190, -0.0008, -0.0062, 0.0171, -0.0302, 0.0113, -0.0053, 0.0025, -0.0109], device='cuda:0'), grad: tensor([ 0.0277, 0.0346, -0.0205, 0.0072, -0.0176, -0.0400, 0.0084, -0.0038, -0.0107, 0.0147], device='cuda:0') 100 0.0001 changing lr epoch 57, time 214.58, cls_loss 0.7865 cls_loss_mapping 0.0434 cls_loss_causal 0.6664 re_mapping 0.0235 re_causal 0.0518 /// teacc 97.83 lr 0.00010000 Epoch 59, weight, value: tensor([[-0.0280, -0.0411, -0.0578, ..., -0.0205, 0.0392, -0.0620], [-0.0227, -0.0586, -0.0253, ..., 0.0817, -0.0333, 0.1234], [ 0.0205, -0.0285, -0.0089, ..., -0.0151, -0.0071, -0.0470], ..., [-0.0006, -0.0542, 0.0918, ..., 0.0077, -0.0357, 0.0295], [-0.0074, 0.0412, -0.0629, ..., -0.0312, -0.0159, -0.0484], [-0.0448, 0.0547, 0.0471, ..., -0.0434, -0.0196, -0.0135]], device='cuda:0'), grad: tensor([[ 5.2601e-06, 2.4796e-03, -2.1291e-04, ..., 1.4076e-03, 1.9646e-03, 4.1068e-05], [ 2.7493e-06, 8.6355e-04, -9.3079e-03, ..., -2.1057e-02, -2.1863e-04, -7.4100e-04], [-5.3681e-06, 4.0550e-03, 6.1655e-04, ..., 8.0299e-04, 3.8376e-03, 6.7115e-05], ..., [ 7.4618e-06, 1.1139e-02, -2.5558e-03, ..., 7.1106e-03, -5.7650e-04, -3.4833e-04], [ 2.3901e-05, -1.0681e-03, 1.1223e-02, ..., 1.2222e-02, 6.2408e-03, 9.2268e-05], [ 7.5810e-06, 1.4664e-02, 2.7817e-02, ..., 1.2016e-02, 6.0730e-03, 2.6894e-04]], device='cuda:0') Epoch 59, bias, value: tensor([-0.0133, 0.0187, -0.0007, -0.0060, 0.0178, -0.0307, 0.0117, -0.0051, 0.0030, -0.0117], device='cuda:0'), grad: tensor([ 0.0029, -0.0468, 0.0190, -0.0065, -0.0021, -0.0289, -0.0163, 0.0143, 0.0153, 0.0491], device='cuda:0') 100 0.0001 changing lr epoch 58, time 214.87, cls_loss 0.7794 cls_loss_mapping 0.0452 cls_loss_causal 0.6511 re_mapping 0.0243 re_causal 0.0499 /// teacc 98.04 lr 0.00010000 Epoch 60, weight, value: tensor([[-2.8222e-02, -4.2292e-02, -5.7959e-02, ..., -1.9913e-02, 3.9309e-02, -6.2043e-02], [-2.1760e-02, -5.8907e-02, -2.5017e-02, ..., 8.2219e-02, -3.3826e-02, 1.2416e-01], [ 1.9955e-02, -2.8185e-02, -8.8367e-03, ..., -1.4431e-02, -7.0914e-03, -4.7690e-02], ..., [-1.7030e-05, -5.5246e-02, 9.2046e-02, ..., 7.7005e-03, -3.6705e-02, 2.9819e-02], [-7.8637e-03, 4.1395e-02, -6.3567e-02, ..., -3.2979e-02, -1.6744e-02, -4.8675e-02], [-4.6252e-02, 5.4961e-02, 4.8190e-02, ..., -4.2455e-02, -1.8769e-02, -1.3074e-02]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -1.3804e-04, 2.0580e-03, ..., 1.0277e-02, -3.0022e-03, 5.0592e-04], [ 0.0000e+00, 2.2469e-03, 1.9503e-03, ..., -1.2650e-02, -7.1259e-03, -1.7643e-03], [ 0.0000e+00, 3.9291e-04, -8.6136e-03, ..., -7.4806e-03, 1.6880e-03, 7.6342e-04], ..., [ 0.0000e+00, -8.2970e-04, 9.5291e-03, ..., -3.5934e-03, 5.0478e-06, -2.0180e-03], [ 0.0000e+00, 2.0790e-03, -1.4658e-03, ..., 1.1091e-03, 5.5599e-04, 1.7147e-03], [ 0.0000e+00, -2.4834e-03, -2.0370e-03, ..., -2.8717e-02, 4.3106e-04, -1.0042e-03]], device='cuda:0') Epoch 60, bias, value: tensor([-0.0131, 0.0192, -0.0005, -0.0060, 0.0171, -0.0305, 0.0116, -0.0053, 0.0022, -0.0111], device='cuda:0'), grad: tensor([ 0.0210, -0.0219, -0.0134, 0.0221, 0.0072, -0.0016, 0.0487, 0.0094, -0.0053, -0.0661], device='cuda:0') 100 0.0001 changing lr epoch 59, time 214.61, cls_loss 0.7733 cls_loss_mapping 0.0368 cls_loss_causal 0.6547 re_mapping 0.0247 re_causal 0.0509 /// teacc 97.97 lr 0.00010000 Epoch 61, weight, value: tensor([[-0.0295, -0.0430, -0.0592, ..., -0.0191, 0.0398, -0.0631], [-0.0226, -0.0584, -0.0250, ..., 0.0823, -0.0348, 0.1254], [ 0.0179, -0.0287, -0.0090, ..., -0.0141, -0.0063, -0.0483], ..., [-0.0005, -0.0557, 0.0929, ..., 0.0078, -0.0376, 0.0291], [-0.0080, 0.0413, -0.0632, ..., -0.0337, -0.0167, -0.0483], [-0.0467, 0.0550, 0.0483, ..., -0.0429, -0.0183, -0.0127]], device='cuda:0'), grad: tensor([[ 2.2594e-06, -9.8133e-04, -1.9608e-03, ..., -8.5449e-03, -8.3466e-03, -4.6110e-04], [ 7.6815e-06, -7.4615e-03, 4.2305e-03, ..., 1.4324e-03, 1.8680e-04, -4.1428e-03], [ 7.8529e-06, -1.3489e-02, -1.1612e-02, ..., -1.6724e-02, 1.8587e-03, -4.8561e-03], ..., [ 3.5707e-06, -8.3017e-04, -3.4618e-03, ..., -4.7455e-03, 2.3758e-04, -7.1030e-03], [-1.8135e-05, 5.5656e-03, 5.0125e-03, ..., 1.2085e-02, -8.2850e-05, 4.9324e-03], [ 1.2353e-05, 4.0092e-03, -1.1444e-03, ..., -3.1185e-03, 5.5790e-04, 9.6273e-04]], device='cuda:0') Epoch 61, bias, value: tensor([-0.0132, 0.0194, -0.0007, -0.0061, 0.0170, -0.0307, 0.0124, -0.0050, 0.0021, -0.0112], device='cuda:0'), grad: tensor([-0.0207, 0.0097, -0.0433, -0.0087, -0.0021, 0.0204, 0.0264, -0.0080, 0.0335, -0.0072], device='cuda:0') 100 0.0001 changing lr epoch 60, time 214.27, cls_loss 0.8048 cls_loss_mapping 0.0422 cls_loss_causal 0.6955 re_mapping 0.0233 re_causal 0.0530 /// teacc 98.07 lr 0.00010000 Epoch 62, weight, value: tensor([[-2.9973e-02, -4.3493e-02, -5.9757e-02, ..., -1.9587e-02, 3.9180e-02, -6.2672e-02], [-2.3133e-02, -5.8316e-02, -2.5087e-02, ..., 8.2396e-02, -3.4091e-02, 1.2474e-01], [ 1.9940e-02, -2.7896e-02, -9.1051e-03, ..., -1.3478e-02, -5.6789e-03, -4.8153e-02], ..., [-1.1881e-04, -5.6700e-02, 9.3152e-02, ..., 8.2287e-03, -3.6931e-02, 2.8929e-02], [-9.3391e-03, 4.2025e-02, -6.3434e-02, ..., -3.2429e-02, -1.5159e-02, -4.8453e-02], [-4.6007e-02, 5.4671e-02, 4.8128e-02, ..., -4.2771e-02, -1.8978e-02, -1.2381e-02]], device='cuda:0'), grad: tensor([[ 9.9745e-07, 7.1001e-04, 2.6588e-03, ..., -3.6392e-03, 3.1700e-03, 9.7752e-04], [ 1.6379e-04, 5.4693e-04, 3.5057e-03, ..., -6.7043e-04, -3.6831e-03, 3.7408e-04], [ 1.1817e-05, 5.5923e-03, 9.0790e-03, ..., 2.0828e-02, 3.3684e-03, 3.2024e-03], ..., [ 2.5257e-06, -8.8196e-03, -1.1375e-02, ..., -9.3079e-03, 6.8331e-04, 3.5458e-03], [-2.1708e-04, 8.4915e-03, 9.8648e-03, ..., 1.3138e-02, 1.8120e-03, 2.5387e-03], [ 1.5423e-05, 2.9182e-03, 7.6294e-04, ..., -1.4832e-02, 1.1921e-03, 1.5345e-03]], device='cuda:0') Epoch 62, bias, value: tensor([-1.3690e-02, 1.8916e-02, 6.9420e-05, -6.1791e-03, 1.7115e-02, -3.1179e-02, 1.2333e-02, -5.3703e-03, 2.9190e-03, -1.1188e-02], device='cuda:0'), grad: tensor([-0.0018, 0.0013, 0.0528, 0.0201, 0.0096, -0.0649, 0.0056, -0.0304, 0.0374, -0.0298], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 61---------------------------------------------------- epoch 61, time 230.86, cls_loss 0.7794 cls_loss_mapping 0.0370 cls_loss_causal 0.6688 re_mapping 0.0229 re_causal 0.0494 /// teacc 98.21 lr 0.00010000 Epoch 63, weight, value: tensor([[-0.0306, -0.0429, -0.0598, ..., -0.0199, 0.0400, -0.0637], [-0.0237, -0.0591, -0.0257, ..., 0.0822, -0.0341, 0.1263], [ 0.0189, -0.0276, -0.0105, ..., -0.0144, -0.0048, -0.0481], ..., [ 0.0009, -0.0571, 0.0941, ..., 0.0098, -0.0384, 0.0288], [-0.0102, 0.0431, -0.0630, ..., -0.0326, -0.0153, -0.0489], [-0.0470, 0.0550, 0.0481, ..., -0.0430, -0.0194, -0.0124]], device='cuda:0'), grad: tensor([[ 1.6745e-06, 1.6606e-04, 1.4896e-03, ..., 5.7831e-03, -1.3514e-03, 7.6866e-04], [ 6.3324e-04, 9.5844e-04, -3.8662e-03, ..., -9.5444e-03, 1.6749e-04, 2.6283e-03], [ 2.1350e-04, 2.4128e-03, -1.5869e-02, ..., 1.3237e-02, 9.1410e-04, -2.2247e-02], ..., [ 1.4293e-04, 3.7994e-03, 1.8265e-02, ..., -3.3245e-03, 1.0771e-04, 2.3544e-02], [-1.5526e-03, -1.6113e-02, -2.0981e-03, ..., -2.9800e-02, -4.9019e-03, 2.9969e-04], [ 1.4830e-04, -2.9049e-03, -3.0537e-03, ..., -5.4359e-03, 9.3031e-04, -6.5918e-03]], device='cuda:0') Epoch 63, bias, value: tensor([-0.0140, 0.0186, -0.0003, -0.0063, 0.0182, -0.0308, 0.0124, -0.0050, 0.0027, -0.0117], device='cuda:0'), grad: tensor([ 0.0152, -0.0266, 0.0030, 0.0113, -0.0172, 0.0199, 0.0359, 0.0392, -0.0588, -0.0219], device='cuda:0') 100 0.0001 changing lr epoch 62, time 214.68, cls_loss 0.7705 cls_loss_mapping 0.0356 cls_loss_causal 0.6557 re_mapping 0.0230 re_causal 0.0515 /// teacc 98.09 lr 0.00010000 Epoch 64, weight, value: tensor([[-0.0307, -0.0440, -0.0601, ..., -0.0199, 0.0393, -0.0639], [-0.0239, -0.0598, -0.0267, ..., 0.0826, -0.0345, 0.1269], [ 0.0181, -0.0283, -0.0098, ..., -0.0143, -0.0049, -0.0472], ..., [-0.0003, -0.0567, 0.0939, ..., 0.0091, -0.0388, 0.0282], [-0.0091, 0.0426, -0.0630, ..., -0.0327, -0.0155, -0.0478], [-0.0466, 0.0547, 0.0480, ..., -0.0428, -0.0189, -0.0120]], device='cuda:0'), grad: tensor([[ 2.6673e-06, -1.7529e-03, -5.4264e-04, ..., -1.7071e-03, 4.7064e-04, 1.6320e-04], [ 5.7705e-06, 7.3957e-04, 3.2425e-03, ..., 6.0005e-03, 5.0116e-04, 6.4039e-04], [ 1.0222e-04, 9.0551e-04, 3.0098e-03, ..., 3.3379e-03, 9.6512e-04, 1.6677e-04], ..., [-3.0117e-03, -1.7365e-02, -9.9487e-03, ..., -7.9012e-04, 9.9659e-04, -3.5076e-03], [ 8.6451e-04, 5.0020e-04, 3.5820e-03, ..., -1.3208e-03, -1.3435e-02, 1.6317e-03], [ 2.0373e-04, -4.4937e-03, -3.9902e-03, ..., 1.3695e-03, -3.7537e-03, -1.3443e-02]], device='cuda:0') Epoch 64, bias, value: tensor([-0.0142, 0.0186, -0.0005, -0.0051, 0.0183, -0.0309, 0.0116, -0.0053, 0.0030, -0.0119], device='cuda:0'), grad: tensor([-0.0104, 0.0216, 0.0129, -0.0236, 0.0143, 0.0364, 0.0154, -0.0318, -0.0057, -0.0292], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 63---------------------------------------------------- epoch 63, time 230.83, cls_loss 0.7837 cls_loss_mapping 0.0378 cls_loss_causal 0.6728 re_mapping 0.0227 re_causal 0.0491 /// teacc 98.27 lr 0.00010000 Epoch 65, weight, value: tensor([[-0.0326, -0.0453, -0.0611, ..., -0.0192, 0.0391, -0.0640], [-0.0230, -0.0587, -0.0270, ..., 0.0826, -0.0354, 0.1274], [ 0.0170, -0.0268, -0.0098, ..., -0.0138, -0.0057, -0.0483], ..., [-0.0009, -0.0574, 0.0942, ..., 0.0080, -0.0408, 0.0287], [-0.0091, 0.0419, -0.0634, ..., -0.0326, -0.0146, -0.0484], [-0.0448, 0.0554, 0.0484, ..., -0.0424, -0.0174, -0.0113]], device='cuda:0'), grad: tensor([[ 4.3912e-07, 1.4811e-03, 2.3937e-03, ..., 8.1253e-03, 2.9400e-05, 9.4128e-04], [ 4.7199e-06, 1.0109e-03, -1.5612e-03, ..., -8.7814e-03, 6.8685e-07, 4.5705e-04], [ 1.0282e-06, 2.6016e-03, 3.0613e-03, ..., 9.9030e-03, 5.4240e-05, 1.4029e-03], ..., [ 2.6217e-07, 1.5478e-03, -1.1444e-03, ..., 6.8779e-03, 1.1949e-06, -9.5081e-04], [-1.1124e-05, 1.3397e-02, 6.6681e-03, ..., -8.6136e-03, 2.8476e-05, -1.5984e-03], [ 3.6368e-07, 2.7275e-03, 7.0038e-03, ..., 4.1351e-03, 7.7263e-06, -4.7994e-04]], device='cuda:0') Epoch 65, bias, value: tensor([-0.0139, 0.0188, -0.0002, -0.0055, 0.0183, -0.0315, 0.0111, -0.0058, 0.0030, -0.0106], device='cuda:0'), grad: tensor([ 0.0195, -0.0193, 0.0237, -0.0790, 0.0264, 0.0042, 0.0154, 0.0081, -0.0133, 0.0142], device='cuda:0') 100 0.0001 changing lr epoch 64, time 214.88, cls_loss 0.7728 cls_loss_mapping 0.0391 cls_loss_causal 0.6462 re_mapping 0.0222 re_causal 0.0479 /// teacc 97.98 lr 0.00010000 Epoch 66, weight, value: tensor([[-0.0344, -0.0472, -0.0617, ..., -0.0193, 0.0401, -0.0652], [-0.0217, -0.0594, -0.0277, ..., 0.0833, -0.0355, 0.1281], [ 0.0155, -0.0271, -0.0095, ..., -0.0139, -0.0054, -0.0483], ..., [-0.0014, -0.0578, 0.0946, ..., 0.0081, -0.0403, 0.0296], [-0.0095, 0.0419, -0.0644, ..., -0.0323, -0.0147, -0.0486], [-0.0451, 0.0566, 0.0486, ..., -0.0433, -0.0183, -0.0119]], device='cuda:0'), grad: tensor([[ 1.6677e-04, -4.5433e-03, -8.5068e-03, ..., 3.1967e-03, 1.6190e-02, 6.0940e-04], [ 1.1854e-03, 4.2498e-05, -1.0643e-03, ..., -1.1740e-03, 3.9339e-04, 1.8749e-03], [ 3.7241e-04, 6.5470e-04, 4.0855e-03, ..., 3.0403e-03, 7.3280e-03, 5.0157e-05], ..., [ 1.7130e-04, 1.5440e-03, -4.8709e-04, ..., 8.1003e-05, 6.8550e-03, 1.7166e-03], [ 7.4244e-04, 2.2936e-04, 2.4891e-03, ..., 7.2670e-03, 8.3466e-03, 1.8167e-03], [-8.8577e-03, -2.0111e-02, -2.2583e-02, ..., -1.7807e-02, -5.4016e-02, -6.9122e-03]], device='cuda:0') Epoch 66, bias, value: tensor([-0.0139, 0.0191, -0.0003, -0.0053, 0.0183, -0.0308, 0.0105, -0.0057, 0.0027, -0.0110], device='cuda:0'), grad: tensor([-0.0168, -0.0016, 0.0166, 0.0699, 0.0384, -0.0055, -0.0444, 0.0156, 0.0272, -0.0992], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 65---------------------------------------------------- epoch 65, time 232.11, cls_loss 0.7753 cls_loss_mapping 0.0314 cls_loss_causal 0.6593 re_mapping 0.0221 re_causal 0.0490 /// teacc 98.29 lr 0.00010000 Epoch 67, weight, value: tensor([[-0.0355, -0.0474, -0.0616, ..., -0.0192, 0.0389, -0.0653], [-0.0225, -0.0593, -0.0276, ..., 0.0830, -0.0346, 0.1294], [ 0.0157, -0.0263, -0.0092, ..., -0.0141, -0.0050, -0.0467], ..., [-0.0007, -0.0582, 0.0955, ..., 0.0091, -0.0400, 0.0288], [-0.0113, 0.0424, -0.0649, ..., -0.0326, -0.0143, -0.0493], [-0.0434, 0.0561, 0.0489, ..., -0.0430, -0.0177, -0.0123]], device='cuda:0'), grad: tensor([[ 9.2611e-06, 8.1003e-05, -1.5717e-03, ..., -4.5929e-03, -2.4700e-03, 1.6861e-03], [ 8.3596e-06, 8.6737e-04, -4.8780e-04, ..., 2.8439e-03, 4.3321e-04, 1.6193e-03], [-7.5638e-05, 2.4199e-04, -2.0847e-03, ..., -1.1909e-02, 4.4136e-03, -3.3975e-04], ..., [ 1.3068e-05, -2.9030e-03, 6.7997e-04, ..., 2.2163e-03, 1.1883e-03, 8.9979e-04], [ 9.9745e-07, -1.2178e-03, -1.9341e-03, ..., 2.4071e-03, -1.0475e-02, -2.4662e-03], [ 3.2276e-05, 6.7596e-03, -5.2166e-04, ..., 2.5272e-03, -2.4738e-03, -2.0046e-03]], device='cuda:0') Epoch 67, bias, value: tensor([-0.0135, 0.0191, -0.0001, -0.0059, 0.0181, -0.0304, 0.0099, -0.0052, 0.0026, -0.0108], device='cuda:0'), grad: tensor([-0.0199, -0.0025, -0.0133, 0.0071, 0.0314, 0.0170, -0.0057, 0.0226, -0.0180, -0.0188], device='cuda:0') 100 0.0001 changing lr epoch 66, time 214.16, cls_loss 0.7631 cls_loss_mapping 0.0317 cls_loss_causal 0.6550 re_mapping 0.0221 re_causal 0.0480 /// teacc 98.26 lr 0.00010000 Epoch 68, weight, value: tensor([[-0.0370, -0.0488, -0.0625, ..., -0.0198, 0.0393, -0.0666], [-0.0237, -0.0591, -0.0289, ..., 0.0828, -0.0340, 0.1305], [ 0.0175, -0.0263, -0.0096, ..., -0.0140, -0.0050, -0.0478], ..., [-0.0009, -0.0578, 0.0963, ..., 0.0099, -0.0402, 0.0301], [-0.0094, 0.0427, -0.0651, ..., -0.0329, -0.0143, -0.0486], [-0.0449, 0.0568, 0.0498, ..., -0.0435, -0.0176, -0.0139]], device='cuda:0'), grad: tensor([[ 3.9814e-08, 7.4720e-04, 1.2674e-03, ..., 3.8013e-03, 1.8063e-03, -6.5267e-05], [ 4.0513e-08, 4.4680e-04, 7.0906e-04, ..., 1.9102e-03, 5.2881e-04, -1.4588e-05], [-9.9558e-07, 1.8463e-03, 9.9850e-04, ..., -8.0185e-03, -1.4658e-03, 6.7949e-05], ..., [ 3.9600e-06, 2.0771e-03, -3.0003e-03, ..., 3.6201e-03, 2.7752e-03, 6.9439e-05], [ 1.1539e-06, -5.8594e-03, -5.6343e-03, ..., -1.8158e-02, -1.3412e-02, 2.2755e-03], [-5.5134e-06, -1.6724e-02, -5.6763e-03, ..., -3.6564e-03, -7.8888e-03, -4.2114e-03]], device='cuda:0') Epoch 68, bias, value: tensor([-1.4135e-02, 1.9191e-02, -8.1638e-05, -5.9446e-03, 1.8357e-02, -3.0554e-02, 9.8137e-03, -4.4962e-03, 2.6353e-03, -1.1173e-02], device='cuda:0'), grad: tensor([-0.0096, 0.0060, -0.0197, 0.0282, 0.0213, 0.0330, -0.0038, 0.0100, -0.0257, -0.0398], device='cuda:0') 100 0.0001 changing lr epoch 67, time 214.45, cls_loss 0.7545 cls_loss_mapping 0.0340 cls_loss_causal 0.6415 re_mapping 0.0215 re_causal 0.0458 /// teacc 98.15 lr 0.00010000 Epoch 69, weight, value: tensor([[-0.0382, -0.0507, -0.0631, ..., -0.0204, 0.0395, -0.0672], [-0.0236, -0.0589, -0.0285, ..., 0.0831, -0.0355, 0.1321], [ 0.0170, -0.0256, -0.0092, ..., -0.0131, -0.0042, -0.0481], ..., [ 0.0018, -0.0601, 0.0967, ..., 0.0095, -0.0413, 0.0300], [-0.0115, 0.0424, -0.0655, ..., -0.0331, -0.0132, -0.0492], [-0.0474, 0.0582, 0.0494, ..., -0.0444, -0.0164, -0.0135]], device='cuda:0'), grad: tensor([[ 1.3001e-06, -9.3079e-04, 7.4768e-04, ..., 1.9894e-03, -4.0627e-03, 1.2627e-03], [ 1.2413e-05, 2.6035e-04, 1.2035e-03, ..., -4.9639e-04, 8.6355e-04, 1.2512e-03], [ 7.5661e-06, -1.8768e-03, 1.5240e-03, ..., -2.8381e-03, -5.9967e-03, 1.1606e-03], ..., [ 8.4257e-04, 1.0033e-03, -7.0095e-04, ..., 4.4365e-03, 4.0126e-04, 2.7637e-03], [ 3.0369e-05, 1.2465e-03, 2.1286e-03, ..., 4.9057e-03, 1.6603e-03, 2.9831e-03], [-9.8133e-04, 7.2956e-05, -1.4508e-04, ..., 5.0240e-03, 1.3380e-03, -4.1351e-03]], device='cuda:0') Epoch 69, bias, value: tensor([-0.0140, 0.0200, 0.0008, -0.0058, 0.0184, -0.0304, 0.0098, -0.0049, 0.0020, -0.0120], device='cuda:0'), grad: tensor([ 0.0073, -0.0008, 0.0006, 0.0038, -0.0111, -0.0410, 0.0114, 0.0206, 0.0278, -0.0186], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 68---------------------------------------------------- epoch 68, time 231.11, cls_loss 0.7596 cls_loss_mapping 0.0393 cls_loss_causal 0.6566 re_mapping 0.0215 re_causal 0.0465 /// teacc 98.34 lr 0.00010000 Epoch 70, weight, value: tensor([[-0.0387, -0.0513, -0.0632, ..., -0.0212, 0.0392, -0.0667], [-0.0227, -0.0596, -0.0282, ..., 0.0829, -0.0359, 0.1326], [ 0.0165, -0.0255, -0.0092, ..., -0.0124, -0.0042, -0.0482], ..., [ 0.0024, -0.0595, 0.0977, ..., 0.0102, -0.0397, 0.0302], [-0.0111, 0.0430, -0.0656, ..., -0.0341, -0.0128, -0.0498], [-0.0482, 0.0571, 0.0490, ..., -0.0434, -0.0184, -0.0141]], device='cuda:0'), grad: tensor([[ 1.7812e-07, 2.5058e-04, 1.9197e-03, ..., -9.7427e-03, 4.6945e-04, 1.2751e-03], [ 3.1502e-07, 4.9114e-04, -3.2978e-03, ..., -1.8585e-02, -2.6989e-03, -1.4404e-02], [ 5.7183e-06, 2.2113e-04, 6.9237e-04, ..., 3.5973e-03, 1.5049e-03, 6.8331e-04], ..., [ 5.6624e-07, 5.2404e-04, -1.0323e-02, ..., -5.0545e-03, -3.5524e-04, -1.0700e-03], [-1.8790e-05, -1.5488e-03, 2.6474e-03, ..., 5.9128e-03, -4.5240e-05, 1.1377e-03], [ 1.8273e-06, 8.4400e-04, -7.8964e-03, ..., -5.5122e-03, 1.1225e-03, 1.2789e-03]], device='cuda:0') Epoch 70, bias, value: tensor([-0.0141, 0.0200, 0.0006, -0.0059, 0.0189, -0.0293, 0.0095, -0.0045, 0.0007, -0.0120], device='cuda:0'), grad: tensor([-0.0359, -0.0536, 0.0173, 0.0609, 0.0135, -0.0020, 0.0056, -0.0097, 0.0153, -0.0113], device='cuda:0') 100 0.0001 changing lr epoch 69, time 214.81, cls_loss 0.7298 cls_loss_mapping 0.0259 cls_loss_causal 0.6206 re_mapping 0.0213 re_causal 0.0466 /// teacc 98.22 lr 0.00010000 Epoch 71, weight, value: tensor([[-0.0387, -0.0529, -0.0630, ..., -0.0210, 0.0387, -0.0673], [-0.0227, -0.0585, -0.0291, ..., 0.0827, -0.0351, 0.1338], [ 0.0168, -0.0251, -0.0088, ..., -0.0118, -0.0045, -0.0469], ..., [ 0.0023, -0.0604, 0.0975, ..., 0.0097, -0.0414, 0.0299], [-0.0109, 0.0418, -0.0665, ..., -0.0339, -0.0138, -0.0492], [-0.0480, 0.0564, 0.0491, ..., -0.0439, -0.0184, -0.0145]], device='cuda:0'), grad: tensor([[ 1.8984e-05, -6.7596e-03, 1.3733e-03, ..., 2.1553e-03, -1.1292e-02, -3.6072e-02], [ 1.0364e-05, 1.9054e-03, -3.5673e-05, ..., 1.5554e-03, 2.5597e-03, 1.9623e-02], [ 5.0116e-04, 5.1384e-03, 4.1618e-03, ..., 6.6605e-03, 3.6454e-04, 3.0670e-03], ..., [ 1.4603e-04, 2.5768e-03, 2.0695e-03, ..., 9.5215e-03, 2.2144e-03, 1.9531e-03], [ 2.2471e-05, 7.8125e-03, -6.0234e-03, ..., -7.0534e-03, 1.0567e-02, 2.5158e-03], [ 4.9204e-05, 4.9019e-03, 3.5038e-03, ..., 1.0025e-02, 3.0479e-03, 3.5610e-03]], device='cuda:0') Epoch 71, bias, value: tensor([-0.0138, 0.0199, 0.0015, -0.0056, 0.0190, -0.0303, 0.0099, -0.0056, 0.0007, -0.0119], device='cuda:0'), grad: tensor([-0.0588, -0.0026, 0.0392, -0.0612, -0.0289, 0.0340, 0.0022, 0.0341, -0.0041, 0.0461], device='cuda:0') 100 0.0001 changing lr epoch 70, time 214.67, cls_loss 0.7333 cls_loss_mapping 0.0246 cls_loss_causal 0.6204 re_mapping 0.0207 re_causal 0.0462 /// teacc 98.19 lr 0.00010000 Epoch 72, weight, value: tensor([[-0.0396, -0.0548, -0.0628, ..., -0.0207, 0.0388, -0.0675], [-0.0229, -0.0586, -0.0292, ..., 0.0828, -0.0355, 0.1342], [ 0.0162, -0.0225, -0.0080, ..., -0.0118, -0.0037, -0.0474], ..., [ 0.0031, -0.0605, 0.0979, ..., 0.0103, -0.0411, 0.0302], [-0.0112, 0.0413, -0.0666, ..., -0.0337, -0.0139, -0.0483], [-0.0478, 0.0558, 0.0486, ..., -0.0448, -0.0185, -0.0151]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 1.0996e-03, -1.1139e-02, ..., 2.9964e-03, 1.1757e-02, -5.5647e-04], [ 2.5611e-09, 3.4595e-04, 2.7084e-03, ..., 7.3314e-06, -1.6006e-02, 7.6962e-04], [ 1.2945e-07, 1.6069e-03, 1.5068e-03, ..., -3.8414e-03, -2.3413e-04, -1.4067e-03], ..., [ 4.8429e-08, 6.7949e-04, 1.0963e-02, ..., -4.9438e-03, 1.9658e-04, -1.9531e-03], [ 7.7998e-08, 9.8610e-04, 2.7065e-03, ..., 1.0231e-02, 5.2166e-04, 3.7155e-03], [ 9.3132e-10, -2.9869e-03, -4.7493e-03, ..., -6.9847e-03, 9.4712e-05, -2.7466e-03]], device='cuda:0') Epoch 72, bias, value: tensor([-0.0132, 0.0198, 0.0019, -0.0067, 0.0180, -0.0307, 0.0115, -0.0049, 0.0006, -0.0123], device='cuda:0'), grad: tensor([-6.2485e-03, 1.3493e-05, -9.1705e-03, -2.8381e-03, -1.4420e-02, 6.3820e-03, 2.0615e-02, -2.2352e-07, 2.0615e-02, -1.4954e-02], device='cuda:0') 100 0.0001 changing lr epoch 71, time 214.65, cls_loss 0.7500 cls_loss_mapping 0.0294 cls_loss_causal 0.6426 re_mapping 0.0207 re_causal 0.0457 /// teacc 98.27 lr 0.00010000 Epoch 73, weight, value: tensor([[-0.0404, -0.0552, -0.0627, ..., -0.0207, 0.0399, -0.0676], [-0.0233, -0.0594, -0.0299, ..., 0.0829, -0.0352, 0.1347], [ 0.0159, -0.0227, -0.0082, ..., -0.0115, -0.0052, -0.0473], ..., [ 0.0040, -0.0605, 0.0977, ..., 0.0108, -0.0415, 0.0315], [-0.0112, 0.0434, -0.0660, ..., -0.0342, -0.0119, -0.0495], [-0.0474, 0.0549, 0.0495, ..., -0.0450, -0.0194, -0.0159]], device='cuda:0'), grad: tensor([[ 3.9348e-07, 1.4868e-03, -4.0512e-03, ..., -6.4163e-03, 6.1417e-03, -2.2907e-03], [ 1.8068e-06, 1.5652e-04, 3.1548e-03, ..., 1.8982e-02, 3.1090e-04, 7.9269e-03], [ 2.7083e-06, 6.1035e-04, 3.1261e-03, ..., 1.4297e-02, 1.3409e-03, 4.5395e-03], ..., [ 9.3281e-06, 6.8426e-05, -1.0681e-02, ..., -6.9656e-03, 6.6102e-05, -8.5144e-03], [-1.1988e-05, -1.4282e-02, -1.3733e-03, ..., -2.1942e-02, -5.2277e-02, -9.9869e-03], [-5.4419e-05, 5.9366e-04, 4.1270e-04, ..., 2.5082e-03, 4.4560e-04, 1.2455e-03]], device='cuda:0') Epoch 73, bias, value: tensor([-0.0131, 0.0196, 0.0016, -0.0070, 0.0187, -0.0303, 0.0106, -0.0046, 0.0006, -0.0121], device='cuda:0'), grad: tensor([-0.0124, 0.0369, 0.0306, 0.0413, 0.0770, -0.0125, -0.0566, -0.0253, -0.0781, -0.0008], device='cuda:0') 100 0.0001 changing lr epoch 72, time 214.69, cls_loss 0.7289 cls_loss_mapping 0.0266 cls_loss_causal 0.6123 re_mapping 0.0213 re_causal 0.0458 /// teacc 98.08 lr 0.00010000 Epoch 74, weight, value: tensor([[-0.0409, -0.0567, -0.0632, ..., -0.0215, 0.0397, -0.0678], [-0.0232, -0.0598, -0.0301, ..., 0.0834, -0.0358, 0.1352], [ 0.0155, -0.0227, -0.0084, ..., -0.0120, -0.0056, -0.0483], ..., [ 0.0046, -0.0608, 0.0989, ..., 0.0113, -0.0414, 0.0327], [-0.0113, 0.0425, -0.0673, ..., -0.0338, -0.0114, -0.0492], [-0.0475, 0.0549, 0.0493, ..., -0.0448, -0.0194, -0.0167]], device='cuda:0'), grad: tensor([[ 2.3972e-06, 4.1151e-04, 6.4421e-04, ..., 5.3520e-03, -3.7270e-03, 1.5326e-03], [ 9.8571e-06, 2.0230e-04, 1.8082e-03, ..., 3.4351e-03, 2.0218e-03, -3.0956e-03], [ 2.6875e-03, 1.9255e-03, 1.3435e-04, ..., 5.3711e-03, 2.7599e-03, -5.6148e-05], ..., [ 2.6464e-04, 5.4436e-03, -5.8289e-03, ..., -2.2869e-03, -2.5406e-03, 6.9580e-03], [ 9.4414e-05, 3.6896e-02, 2.5272e-03, ..., 2.0935e-02, 9.0256e-03, 3.1586e-03], [ 5.2392e-05, -3.8033e-03, 1.1360e-02, ..., 1.3924e-02, 4.1504e-03, 1.6260e-03]], device='cuda:0') Epoch 74, bias, value: tensor([-0.0137, 0.0202, 0.0017, -0.0076, 0.0181, -0.0302, 0.0112, -0.0043, 0.0012, -0.0126], device='cuda:0'), grad: tensor([ 0.0058, 0.0084, 0.0143, -0.0567, -0.0392, 0.0264, -0.0383, -0.0016, 0.0536, 0.0274], device='cuda:0') 100 0.0001 changing lr epoch 73, time 214.84, cls_loss 0.7446 cls_loss_mapping 0.0360 cls_loss_causal 0.6316 re_mapping 0.0200 re_causal 0.0447 /// teacc 98.16 lr 0.00010000 Epoch 75, weight, value: tensor([[-0.0413, -0.0580, -0.0633, ..., -0.0205, 0.0394, -0.0662], [-0.0243, -0.0593, -0.0299, ..., 0.0839, -0.0334, 0.1357], [ 0.0150, -0.0226, -0.0086, ..., -0.0116, -0.0049, -0.0477], ..., [ 0.0048, -0.0611, 0.0984, ..., 0.0113, -0.0411, 0.0308], [-0.0102, 0.0423, -0.0674, ..., -0.0332, -0.0110, -0.0497], [-0.0474, 0.0556, 0.0501, ..., -0.0450, -0.0202, -0.0153]], device='cuda:0'), grad: tensor([[ 7.1805e-07, -1.3342e-03, -2.5139e-03, ..., -1.4526e-02, -1.3847e-02, -2.3899e-03], [ 2.1422e-04, 2.1133e-03, 2.5201e-04, ..., -4.2953e-03, 3.5725e-03, 8.9824e-05], [ 5.3868e-06, -5.6854e-02, 1.3790e-03, ..., -1.0767e-03, -1.4696e-03, -4.1656e-03], ..., [ 3.0327e-04, 4.4594e-03, -1.7967e-03, ..., 5.5351e-03, -2.1515e-02, 3.0384e-03], [ 2.7135e-05, 5.6953e-03, 4.0603e-04, ..., -2.2659e-03, -1.1368e-03, 1.5860e-03], [-7.7629e-04, 4.1580e-03, 4.7135e-04, ..., -1.5213e-02, 2.9640e-03, -1.0841e-02]], device='cuda:0') Epoch 75, bias, value: tensor([-0.0127, 0.0207, 0.0017, -0.0079, 0.0177, -0.0309, 0.0102, -0.0045, 0.0018, -0.0121], device='cuda:0'), grad: tensor([-0.0404, -0.0019, -0.0294, 0.0311, 0.0255, 0.0341, 0.0291, -0.0131, 0.0048, -0.0398], device='cuda:0') 100 0.0001 changing lr epoch 74, time 214.34, cls_loss 0.7553 cls_loss_mapping 0.0307 cls_loss_causal 0.6321 re_mapping 0.0198 re_causal 0.0435 /// teacc 98.16 lr 0.00010000 Epoch 76, weight, value: tensor([[-0.0427, -0.0578, -0.0639, ..., -0.0209, 0.0396, -0.0642], [-0.0252, -0.0588, -0.0298, ..., 0.0842, -0.0326, 0.1370], [ 0.0147, -0.0221, -0.0086, ..., -0.0114, -0.0044, -0.0481], ..., [ 0.0072, -0.0615, 0.0995, ..., 0.0113, -0.0419, 0.0319], [-0.0100, 0.0421, -0.0676, ..., -0.0331, -0.0107, -0.0502], [-0.0469, 0.0557, 0.0490, ..., -0.0464, -0.0209, -0.0169]], device='cuda:0'), grad: tensor([[ 9.7677e-06, 1.6317e-03, 8.9741e-04, ..., 1.2993e-02, 1.5488e-03, 6.4926e-03], [ 3.4750e-05, 4.3526e-03, 2.5425e-03, ..., 1.2001e-02, 1.8816e-03, 2.5692e-03], [ 4.2468e-05, -5.0011e-03, 2.3727e-03, ..., 9.6817e-03, -1.1765e-02, 6.7940e-03], ..., [-5.7268e-04, 2.5253e-03, -5.4665e-03, ..., -1.1299e-02, 1.2197e-03, -3.1328e-04], [ 9.5844e-05, 9.9945e-03, 6.6490e-03, ..., 1.7319e-02, 4.5013e-03, 1.7366e-03], [ 1.9932e-04, 1.1921e-03, 2.3232e-03, ..., 8.4457e-03, 1.1730e-03, 4.3259e-03]], device='cuda:0') Epoch 76, bias, value: tensor([-0.0128, 0.0205, 0.0024, -0.0083, 0.0176, -0.0314, 0.0111, -0.0044, 0.0023, -0.0130], device='cuda:0'), grad: tensor([ 0.0309, 0.0181, 0.0038, -0.0706, -0.0091, 0.0090, -0.0172, -0.0278, 0.0403, 0.0225], device='cuda:0') 100 0.0001 changing lr epoch 75, time 214.44, cls_loss 0.7261 cls_loss_mapping 0.0275 cls_loss_causal 0.6276 re_mapping 0.0201 re_causal 0.0451 /// teacc 98.22 lr 0.00010000 Epoch 77, weight, value: tensor([[-0.0423, -0.0584, -0.0645, ..., -0.0221, 0.0404, -0.0659], [-0.0254, -0.0599, -0.0298, ..., 0.0836, -0.0331, 0.1357], [ 0.0150, -0.0216, -0.0075, ..., -0.0109, -0.0039, -0.0475], ..., [ 0.0067, -0.0620, 0.0989, ..., 0.0114, -0.0426, 0.0321], [-0.0102, 0.0421, -0.0692, ..., -0.0329, -0.0108, -0.0497], [-0.0466, 0.0557, 0.0493, ..., -0.0468, -0.0213, -0.0174]], device='cuda:0'), grad: tensor([[ 8.9686e-07, 4.3225e-04, 1.6451e-04, ..., -1.9913e-02, -1.0986e-02, -1.1950e-03], [ 3.5744e-06, 3.3689e-04, 7.0667e-04, ..., 3.9215e-03, 8.7595e-04, -8.0185e-03], [ 6.8247e-05, 1.0994e-02, 7.0286e-04, ..., 1.9318e-02, 2.2324e-02, 3.5667e-03], ..., [ 3.4302e-05, 5.1641e-04, 1.0214e-03, ..., -3.1223e-03, 2.4414e-03, 4.2319e-04], [ 9.7036e-05, -2.9556e-02, 1.3056e-03, ..., 1.1200e-02, -4.4220e-02, 9.4299e-03], [ 4.7386e-06, 5.5075e-04, 1.4734e-03, ..., 6.3782e-03, 1.9150e-03, 2.2697e-03]], device='cuda:0') Epoch 77, bias, value: tensor([-0.0128, 0.0192, 0.0035, -0.0079, 0.0185, -0.0311, 0.0105, -0.0047, 0.0021, -0.0133], device='cuda:0'), grad: tensor([-0.0467, 0.0068, 0.0537, -0.0875, 0.0252, 0.0047, 0.0100, -0.0129, 0.0226, 0.0241], device='cuda:0') 100 0.0001 changing lr epoch 76, time 214.18, cls_loss 0.7315 cls_loss_mapping 0.0290 cls_loss_causal 0.6198 re_mapping 0.0196 re_causal 0.0433 /// teacc 98.16 lr 0.00010000 Epoch 78, weight, value: tensor([[-0.0438, -0.0580, -0.0643, ..., -0.0222, 0.0408, -0.0651], [-0.0264, -0.0610, -0.0301, ..., 0.0837, -0.0332, 0.1366], [ 0.0157, -0.0204, -0.0082, ..., -0.0114, -0.0041, -0.0482], ..., [ 0.0060, -0.0622, 0.0993, ..., 0.0116, -0.0434, 0.0313], [-0.0107, 0.0412, -0.0698, ..., -0.0332, -0.0107, -0.0504], [-0.0472, 0.0570, 0.0496, ..., -0.0468, -0.0213, -0.0169]], device='cuda:0'), grad: tensor([[ 3.8624e-04, -3.2902e-03, -1.3816e-04, ..., -8.7662e-03, -3.5691e-04, -1.7405e-03], [-1.7633e-03, 2.0370e-03, 1.0004e-03, ..., -3.0212e-03, 9.1457e-04, -2.2411e-03], [ 2.3365e-03, 1.2960e-03, 1.4067e-03, ..., -3.0937e-03, 5.2357e-04, 1.8501e-03], ..., [ 1.1520e-03, 6.6137e-04, 5.7364e-04, ..., 3.6449e-03, 2.0659e-04, 2.7256e-03], [-4.2953e-03, -4.7493e-03, -1.3018e-03, ..., -6.8665e-03, -3.4504e-03, -7.4615e-03], [ 9.6202e-05, 6.5422e-04, 6.8665e-04, ..., 3.8509e-03, 2.2995e-04, 1.7843e-03]], device='cuda:0') Epoch 78, bias, value: tensor([-0.0123, 0.0194, 0.0022, -0.0072, 0.0185, -0.0316, 0.0102, -0.0046, 0.0028, -0.0135], device='cuda:0'), grad: tensor([-0.0218, -0.0436, -0.0061, 0.0522, -0.0095, 0.0045, 0.0126, 0.0147, -0.0184, 0.0155], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 77---------------------------------------------------- epoch 77, time 230.68, cls_loss 0.7053 cls_loss_mapping 0.0269 cls_loss_causal 0.5878 re_mapping 0.0199 re_causal 0.0439 /// teacc 98.47 lr 0.00010000 Epoch 79, weight, value: tensor([[-0.0446, -0.0581, -0.0653, ..., -0.0223, 0.0411, -0.0657], [-0.0272, -0.0609, -0.0303, ..., 0.0836, -0.0333, 0.1370], [ 0.0164, -0.0210, -0.0086, ..., -0.0117, -0.0038, -0.0477], ..., [ 0.0065, -0.0627, 0.0998, ..., 0.0122, -0.0433, 0.0318], [-0.0105, 0.0412, -0.0710, ..., -0.0340, -0.0114, -0.0526], [-0.0477, 0.0564, 0.0489, ..., -0.0469, -0.0211, -0.0174]], device='cuda:0'), grad: tensor([[ 7.2643e-08, 7.2527e-04, 1.3275e-03, ..., -7.3433e-03, 2.2430e-03, 1.2082e-04], [-4.4227e-05, -1.5736e-03, -5.0116e-04, ..., -3.1281e-03, -1.7273e-02, -1.7426e-02], [ 7.1041e-06, 2.4366e-04, 1.6260e-03, ..., -2.5864e-03, 3.9978e-03, 5.3215e-03], ..., [ 2.1961e-06, -5.8098e-03, -4.4174e-03, ..., 2.0542e-03, 4.0889e-04, -7.1907e-04], [ 1.8835e-05, 4.6158e-03, 9.3222e-04, ..., 3.2959e-03, 4.5242e-03, 3.4599e-03], [ 1.8207e-06, 2.0847e-03, 2.4967e-03, ..., 4.8103e-03, 1.5984e-03, 4.7302e-03]], device='cuda:0') Epoch 79, bias, value: tensor([-0.0126, 0.0196, 0.0021, -0.0069, 0.0188, -0.0317, 0.0108, -0.0042, 0.0016, -0.0134], device='cuda:0'), grad: tensor([-0.0130, -0.0419, 0.0103, -0.0080, 0.0265, -0.0212, -0.0053, 0.0064, 0.0287, 0.0176], device='cuda:0') 100 0.0001 changing lr epoch 78, time 214.18, cls_loss 0.7602 cls_loss_mapping 0.0275 cls_loss_causal 0.6495 re_mapping 0.0194 re_causal 0.0444 /// teacc 98.12 lr 0.00010000 Epoch 80, weight, value: tensor([[-0.0446, -0.0590, -0.0658, ..., -0.0215, 0.0409, -0.0649], [-0.0262, -0.0611, -0.0303, ..., 0.0845, -0.0326, 0.1382], [ 0.0167, -0.0212, -0.0097, ..., -0.0111, -0.0041, -0.0486], ..., [ 0.0074, -0.0632, 0.1001, ..., 0.0114, -0.0444, 0.0312], [-0.0114, 0.0416, -0.0714, ..., -0.0348, -0.0111, -0.0527], [-0.0483, 0.0578, 0.0495, ..., -0.0473, -0.0200, -0.0174]], device='cuda:0'), grad: tensor([[ 1.8422e-06, -2.7714e-03, -6.5956e-03, ..., -6.0730e-03, -2.3060e-03, -4.9896e-03], [ 2.7633e-04, 1.1559e-03, 1.6937e-03, ..., 1.0681e-02, 1.3132e-03, 3.0441e-03], [ 5.5075e-05, 8.9598e-04, 1.9531e-03, ..., 6.1913e-03, 7.2718e-04, 2.0332e-03], ..., [ 3.1531e-05, 5.7373e-03, 8.8959e-03, ..., 7.4463e-03, 1.6232e-03, 8.8425e-03], [-4.1246e-04, 1.5659e-03, -7.7343e-04, ..., 1.7061e-03, 3.5496e-03, -2.7580e-03], [ 1.6540e-05, -4.9362e-03, -3.9864e-03, ..., -2.1915e-03, 1.1429e-02, -7.1640e-03]], device='cuda:0') Epoch 80, bias, value: tensor([-0.0126, 0.0198, 0.0019, -0.0067, 0.0186, -0.0312, 0.0107, -0.0045, 0.0012, -0.0132], device='cuda:0'), grad: tensor([-0.0165, 0.0303, 0.0198, -0.0184, -0.0507, 0.0205, -0.0080, 0.0316, 0.0025, -0.0111], device='cuda:0') 100 0.0001 changing lr epoch 79, time 214.39, cls_loss 0.7230 cls_loss_mapping 0.0254 cls_loss_causal 0.6186 re_mapping 0.0194 re_causal 0.0438 /// teacc 98.31 lr 0.00010000 Epoch 81, weight, value: tensor([[-0.0458, -0.0603, -0.0659, ..., -0.0225, 0.0405, -0.0649], [-0.0276, -0.0600, -0.0304, ..., 0.0843, -0.0309, 0.1386], [ 0.0159, -0.0208, -0.0105, ..., -0.0110, -0.0045, -0.0496], ..., [ 0.0080, -0.0630, 0.1004, ..., 0.0119, -0.0446, 0.0318], [-0.0111, 0.0415, -0.0712, ..., -0.0350, -0.0109, -0.0528], [-0.0488, 0.0575, 0.0497, ..., -0.0469, -0.0203, -0.0176]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 1.3113e-03, 7.7784e-05, ..., 2.9545e-03, 4.6730e-04, 5.7077e-04], [ 0.0000e+00, 1.1093e-02, 6.6071e-03, ..., 5.3749e-03, 2.3098e-03, 3.8147e-03], [ 0.0000e+00, 3.9253e-03, 8.8882e-04, ..., 1.0368e-02, 9.4604e-04, 9.6416e-04], ..., [ 3.2596e-09, -5.0049e-03, -1.5114e-02, ..., -1.1925e-02, -1.1383e-02, 4.8971e-04], [ 1.5832e-07, 9.2316e-03, 7.6752e-03, ..., 1.3397e-02, 4.6692e-03, 5.3329e-03], [-9.1270e-07, -1.4175e-02, -6.3133e-03, ..., -6.1569e-03, 1.6346e-03, -1.3313e-02]], device='cuda:0') Epoch 81, bias, value: tensor([-0.0138, 0.0191, 0.0023, -0.0066, 0.0191, -0.0308, 0.0112, -0.0043, 0.0012, -0.0134], device='cuda:0'), grad: tensor([ 0.0145, 0.0214, 0.0332, 0.0003, -0.0131, 0.0251, -0.0114, -0.0977, 0.0464, -0.0185], device='cuda:0') 100 0.0001 changing lr epoch 80, time 214.35, cls_loss 0.7162 cls_loss_mapping 0.0221 cls_loss_causal 0.6147 re_mapping 0.0191 re_causal 0.0417 /// teacc 98.27 lr 0.00010000 Epoch 82, weight, value: tensor([[-0.0454, -0.0601, -0.0667, ..., -0.0224, 0.0411, -0.0646], [-0.0291, -0.0605, -0.0316, ..., 0.0847, -0.0314, 0.1385], [ 0.0163, -0.0202, -0.0098, ..., -0.0100, -0.0041, -0.0489], ..., [ 0.0085, -0.0647, 0.1013, ..., 0.0112, -0.0451, 0.0326], [-0.0114, 0.0422, -0.0715, ..., -0.0361, -0.0103, -0.0534], [-0.0490, 0.0571, 0.0499, ..., -0.0460, -0.0202, -0.0176]], device='cuda:0'), grad: tensor([[ 9.6299e-07, -4.2496e-03, -1.5521e-04, ..., -8.4610e-03, -1.2779e-03, -2.9736e-03], [ 8.4490e-06, 7.2250e-03, 1.1986e-02, ..., 3.9978e-02, 9.1248e-03, 2.6108e-02], [-7.1764e-05, -1.5106e-03, -4.8561e-03, ..., -4.7731e-04, 1.2326e-04, -1.7309e-03], ..., [ 6.5714e-06, 2.7733e-03, 4.3259e-03, ..., 1.2932e-02, 1.0371e-04, 7.0915e-03], [ 2.9877e-05, 3.0613e-03, 1.8082e-03, ..., 6.5422e-04, 6.2370e-04, 3.5000e-03], [ 1.8654e-06, 2.6970e-03, -4.5586e-03, ..., -7.4806e-03, 3.3593e-04, -8.8654e-03]], device='cuda:0') Epoch 82, bias, value: tensor([-0.0133, 0.0196, 0.0033, -0.0075, 0.0188, -0.0307, 0.0104, -0.0049, 0.0011, -0.0127], device='cuda:0'), grad: tensor([-0.0240, 0.0909, -0.0295, -0.0858, -0.0014, 0.0192, 0.0246, 0.0409, 0.0118, -0.0466], device='cuda:0') 100 0.0001 changing lr epoch 81, time 214.51, cls_loss 0.6804 cls_loss_mapping 0.0220 cls_loss_causal 0.5738 re_mapping 0.0189 re_causal 0.0397 /// teacc 98.37 lr 0.00010000 Epoch 83, weight, value: tensor([[-0.0440, -0.0597, -0.0668, ..., -0.0223, 0.0409, -0.0640], [-0.0309, -0.0634, -0.0327, ..., 0.0843, -0.0327, 0.1379], [ 0.0143, -0.0196, -0.0104, ..., -0.0103, -0.0026, -0.0484], ..., [ 0.0085, -0.0645, 0.1022, ..., 0.0115, -0.0442, 0.0323], [-0.0122, 0.0417, -0.0719, ..., -0.0368, -0.0100, -0.0528], [-0.0486, 0.0569, 0.0499, ..., -0.0456, -0.0210, -0.0166]], device='cuda:0'), grad: tensor([[ 1.1921e-07, 5.0850e-03, 5.8556e-04, ..., 5.2376e-03, 1.3382e-02, 6.5498e-03], [ 3.4459e-08, -8.8501e-03, 8.2445e-04, ..., -1.0132e-02, 1.5030e-03, -2.2376e-04], [ 1.3318e-07, 4.6234e-03, -2.7561e-03, ..., -7.8964e-03, -2.6035e-03, 1.6379e-04], ..., [ 1.2040e-05, 9.7847e-04, 1.5032e-04, ..., -1.3895e-03, -1.2207e-03, -6.0730e-03], [ 4.6268e-06, 9.7656e-03, 6.3086e-04, ..., 1.6296e-02, -6.4354e-03, -8.4686e-03], [-2.7820e-05, 3.5439e-03, 2.9469e-03, ..., -1.1703e-02, 1.5516e-03, 9.9792e-03]], device='cuda:0') Epoch 83, bias, value: tensor([-0.0133, 0.0186, 0.0031, -0.0076, 0.0184, -0.0304, 0.0107, -0.0050, 0.0014, -0.0120], device='cuda:0'), grad: tensor([ 0.0234, -0.0043, -0.0282, -0.0134, 0.0163, 0.0126, 0.0014, 0.0162, 0.0238, -0.0477], device='cuda:0') 100 0.0001 changing lr epoch 82, time 214.62, cls_loss 0.7092 cls_loss_mapping 0.0244 cls_loss_causal 0.6076 re_mapping 0.0195 re_causal 0.0412 /// teacc 98.22 lr 0.00010000 Epoch 84, weight, value: tensor([[-0.0511, -0.0622, -0.0680, ..., -0.0228, 0.0395, -0.0647], [-0.0305, -0.0617, -0.0318, ..., 0.0847, -0.0323, 0.1391], [ 0.0144, -0.0201, -0.0097, ..., -0.0102, -0.0020, -0.0485], ..., [ 0.0094, -0.0648, 0.1034, ..., 0.0116, -0.0444, 0.0333], [-0.0143, 0.0421, -0.0731, ..., -0.0369, -0.0093, -0.0530], [-0.0476, 0.0571, 0.0492, ..., -0.0462, -0.0214, -0.0182]], device='cuda:0'), grad: tensor([[-5.4970e-03, 3.7223e-05, -2.0142e-03, ..., -1.8021e-02, -2.3289e-03, -1.0080e-03], [ 5.7077e-04, -1.0233e-03, -2.9588e-04, ..., -2.4853e-03, 2.6846e-04, -4.8561e-03], [ 3.3970e-03, 7.9498e-03, 8.1015e-04, ..., 1.2268e-02, 4.1542e-03, 1.2970e-03], ..., [ 6.4468e-04, -5.9814e-03, -5.3635e-03, ..., -6.1264e-03, 3.6907e-04, -3.2215e-03], [ 7.7248e-04, -2.0142e-02, 1.1263e-03, ..., -4.3068e-03, -1.1940e-02, 2.7752e-03], [ 1.0862e-03, 3.2940e-03, 6.5088e-04, ..., -2.1420e-03, 3.3212e-04, -1.7376e-03]], device='cuda:0') Epoch 84, bias, value: tensor([-0.0133, 0.0187, 0.0030, -0.0076, 0.0187, -0.0308, 0.0109, -0.0043, 0.0018, -0.0131], device='cuda:0'), grad: tensor([-0.0670, 0.0031, 0.0473, -0.0142, 0.0094, -0.0138, 0.0230, -0.0069, 0.0165, 0.0026], device='cuda:0') 100 0.0001 changing lr epoch 83, time 214.18, cls_loss 0.6981 cls_loss_mapping 0.0195 cls_loss_causal 0.5917 re_mapping 0.0202 re_causal 0.0436 /// teacc 98.25 lr 0.00010000 Epoch 85, weight, value: tensor([[-0.0526, -0.0616, -0.0686, ..., -0.0222, 0.0395, -0.0647], [-0.0306, -0.0618, -0.0321, ..., 0.0845, -0.0334, 0.1403], [ 0.0121, -0.0200, -0.0107, ..., -0.0097, -0.0025, -0.0487], ..., [ 0.0091, -0.0657, 0.1042, ..., 0.0111, -0.0450, 0.0330], [-0.0133, 0.0422, -0.0728, ..., -0.0372, -0.0075, -0.0542], [-0.0490, 0.0577, 0.0489, ..., -0.0466, -0.0222, -0.0181]], device='cuda:0'), grad: tensor([[ 1.0625e-05, 1.2264e-03, 5.1355e-04, ..., 4.7607e-03, 5.6744e-04, 2.7809e-03], [ 6.8583e-06, 5.1117e-04, 5.9223e-04, ..., 4.8866e-03, 5.3740e-04, 2.2087e-03], [ 8.5294e-05, 5.0783e-04, -3.4218e-03, ..., -7.8125e-03, -6.4430e-03, 5.8842e-04], ..., [ 2.9355e-05, 3.6469e-03, 5.6877e-03, ..., 6.0940e-04, 4.0894e-03, 4.3640e-03], [-7.6115e-05, 2.7374e-02, 2.0599e-03, ..., 3.2387e-03, 4.0375e-02, 1.1044e-03], [ 4.9084e-05, -3.1395e-03, -6.2981e-03, ..., -4.9210e-03, 2.0943e-03, -5.2643e-03]], device='cuda:0') Epoch 85, bias, value: tensor([-0.0132, 0.0193, 0.0031, -0.0073, 0.0188, -0.0303, 0.0102, -0.0050, 0.0017, -0.0132], device='cuda:0'), grad: tensor([ 0.0177, 0.0154, -0.0143, -0.0387, 0.0206, -0.0255, 0.0406, -0.0046, -0.0044, -0.0068], device='cuda:0') 100 0.0001 changing lr epoch 84, time 214.15, cls_loss 0.6978 cls_loss_mapping 0.0237 cls_loss_causal 0.5955 re_mapping 0.0191 re_causal 0.0410 /// teacc 98.20 lr 0.00010000 Epoch 86, weight, value: tensor([[-0.0550, -0.0622, -0.0679, ..., -0.0219, 0.0402, -0.0657], [-0.0304, -0.0627, -0.0328, ..., 0.0842, -0.0331, 0.1408], [ 0.0116, -0.0194, -0.0112, ..., -0.0097, -0.0042, -0.0497], ..., [ 0.0082, -0.0665, 0.1048, ..., 0.0106, -0.0450, 0.0332], [-0.0144, 0.0430, -0.0726, ..., -0.0370, -0.0080, -0.0540], [-0.0495, 0.0567, 0.0487, ..., -0.0466, -0.0213, -0.0187]], device='cuda:0'), grad: tensor([[ 0.0001, 0.0013, 0.0011, ..., 0.0126, 0.0006, 0.0035], [ 0.0011, 0.0051, 0.0038, ..., 0.0018, 0.0007, 0.0078], [ 0.0006, 0.0014, 0.0017, ..., 0.0082, 0.0008, 0.0030], ..., [ 0.0032, 0.0129, 0.0196, ..., 0.0275, 0.0008, 0.0280], [-0.0042, -0.0091, -0.0061, ..., -0.0163, -0.0030, -0.0088], [-0.0041, -0.0007, -0.0078, ..., -0.0063, 0.0015, -0.0071]], device='cuda:0') Epoch 86, bias, value: tensor([-0.0130, 0.0190, 0.0030, -0.0074, 0.0186, -0.0306, 0.0109, -0.0052, 0.0020, -0.0132], device='cuda:0'), grad: tensor([ 0.0358, 0.0248, 0.0213, -0.0330, -0.0149, -0.0277, -0.0162, 0.0671, -0.0508, -0.0064], device='cuda:0') 100 0.0001 changing lr epoch 85, time 214.48, cls_loss 0.7108 cls_loss_mapping 0.0221 cls_loss_causal 0.6040 re_mapping 0.0188 re_causal 0.0399 /// teacc 98.25 lr 0.00010000 Epoch 87, weight, value: tensor([[-0.0550, -0.0621, -0.0682, ..., -0.0223, 0.0392, -0.0658], [-0.0308, -0.0622, -0.0343, ..., 0.0844, -0.0336, 0.1410], [ 0.0119, -0.0193, -0.0109, ..., -0.0094, -0.0040, -0.0499], ..., [ 0.0073, -0.0668, 0.1051, ..., 0.0102, -0.0448, 0.0326], [-0.0142, 0.0418, -0.0729, ..., -0.0375, -0.0072, -0.0539], [-0.0482, 0.0567, 0.0479, ..., -0.0466, -0.0214, -0.0181]], device='cuda:0'), grad: tensor([[ 2.2456e-05, -5.8842e-04, 4.1342e-04, ..., 9.2554e-04, -1.3905e-03, 2.1732e-04], [-3.3712e-04, -1.0508e-04, 1.7309e-04, ..., -9.1248e-03, 5.3167e-05, -1.7004e-03], [-3.9053e-04, 5.5218e-04, 7.8487e-04, ..., 1.2646e-03, -6.5684e-05, 4.1723e-04], ..., [ 1.0997e-04, -4.3030e-03, -1.0574e-02, ..., -6.9389e-03, 7.9095e-05, -6.1569e-03], [ 1.0246e-04, -4.5586e-03, -9.6917e-05, ..., -4.5013e-03, 4.3321e-04, 1.4915e-03], [ 1.8105e-05, 8.8882e-03, 7.3471e-03, ..., 7.5264e-03, 1.5755e-03, 5.9891e-03]], device='cuda:0') Epoch 87, bias, value: tensor([-0.0136, 0.0192, 0.0036, -0.0075, 0.0186, -0.0306, 0.0107, -0.0049, 0.0018, -0.0134], device='cuda:0'), grad: tensor([ 0.0024, -0.0148, 0.0079, 0.0001, -0.0187, 0.0253, -0.0047, -0.0134, -0.0170, 0.0327], device='cuda:0') 100 0.0001 changing lr epoch 86, time 214.96, cls_loss 0.7184 cls_loss_mapping 0.0240 cls_loss_causal 0.6118 re_mapping 0.0182 re_causal 0.0395 /// teacc 98.25 lr 0.00010000 Epoch 88, weight, value: tensor([[-0.0558, -0.0616, -0.0691, ..., -0.0236, 0.0395, -0.0664], [-0.0311, -0.0636, -0.0355, ..., 0.0853, -0.0325, 0.1411], [ 0.0108, -0.0182, -0.0106, ..., -0.0090, -0.0039, -0.0501], ..., [ 0.0076, -0.0669, 0.1052, ..., 0.0088, -0.0453, 0.0338], [-0.0146, 0.0424, -0.0745, ..., -0.0374, -0.0068, -0.0546], [-0.0486, 0.0570, 0.0482, ..., -0.0463, -0.0220, -0.0185]], device='cuda:0'), grad: tensor([[ 7.0870e-05, -8.5220e-03, 1.1784e-04, ..., 2.2542e-04, -1.1383e-02, 1.6463e-04], [ 1.1129e-06, -7.7152e-04, 6.5863e-05, ..., -7.3509e-03, 2.0428e-03, -3.2520e-03], [ 3.4988e-05, 5.4264e-04, -1.1082e-03, ..., -5.5809e-03, -1.2608e-03, 1.4365e-04], ..., [ 9.1344e-06, -6.3133e-04, -1.9741e-03, ..., 1.3056e-03, 1.8559e-03, -1.4753e-03], [ 1.8656e-05, 1.3023e-02, 2.1601e-04, ..., 3.4313e-03, 1.5612e-03, 9.4509e-04], [-9.4116e-05, 1.7989e-04, 1.5306e-03, ..., 3.0937e-03, 3.0155e-03, 1.2379e-03]], device='cuda:0') Epoch 88, bias, value: tensor([-0.0137, 0.0196, 0.0043, -0.0079, 0.0191, -0.0308, 0.0101, -0.0059, 0.0021, -0.0130], device='cuda:0'), grad: tensor([-0.0209, -0.0217, -0.0169, 0.0271, -0.0033, 0.0277, -0.0364, 0.0102, 0.0205, 0.0136], device='cuda:0') 100 0.0001 changing lr epoch 87, time 214.88, cls_loss 0.7241 cls_loss_mapping 0.0221 cls_loss_causal 0.6280 re_mapping 0.0190 re_causal 0.0420 /// teacc 98.22 lr 0.00010000 Epoch 89, weight, value: tensor([[-0.0567, -0.0619, -0.0694, ..., -0.0237, 0.0400, -0.0656], [-0.0316, -0.0639, -0.0361, ..., 0.0846, -0.0317, 0.1425], [ 0.0138, -0.0190, -0.0100, ..., -0.0093, -0.0045, -0.0503], ..., [ 0.0062, -0.0663, 0.1059, ..., 0.0099, -0.0468, 0.0345], [-0.0164, 0.0422, -0.0754, ..., -0.0376, -0.0065, -0.0557], [-0.0500, 0.0579, 0.0486, ..., -0.0460, -0.0214, -0.0191]], device='cuda:0'), grad: tensor([[ 6.5193e-08, 1.7481e-03, 4.5371e-04, ..., 8.3771e-03, 1.1569e-04, 5.7077e-04], [ 1.8626e-08, 1.9112e-03, 1.1301e-03, ..., 9.7885e-03, 9.5606e-05, -6.2132e-04], [ 4.0233e-07, 6.4888e-03, 2.8992e-03, ..., 9.2316e-03, 6.2828e-03, 1.1253e-03], ..., [ 3.0734e-08, 2.7256e-03, 4.5471e-03, ..., -8.0566e-03, 4.6849e-05, 3.4275e-03], [ 1.3903e-05, 4.9629e-03, 1.1187e-03, ..., 1.3611e-02, 4.9019e-04, 1.9665e-03], [ 2.4252e-06, -3.6278e-03, 6.8808e-04, ..., -3.9368e-03, 3.9673e-04, 7.4530e-04]], device='cuda:0') Epoch 89, bias, value: tensor([-0.0141, 0.0193, 0.0041, -0.0072, 0.0185, -0.0303, 0.0099, -0.0050, 0.0012, -0.0124], device='cuda:0'), grad: tensor([ 0.0228, 0.0318, 0.0291, -0.0038, 0.0032, -0.0437, -0.0395, -0.0028, 0.0376, -0.0347], device='cuda:0') 100 0.0001 changing lr epoch 88, time 214.71, cls_loss 0.7223 cls_loss_mapping 0.0180 cls_loss_causal 0.6036 re_mapping 0.0181 re_causal 0.0409 /// teacc 98.20 lr 0.00010000 Epoch 90, weight, value: tensor([[-0.0554, -0.0621, -0.0688, ..., -0.0234, 0.0408, -0.0654], [-0.0321, -0.0646, -0.0359, ..., 0.0847, -0.0315, 0.1424], [ 0.0134, -0.0184, -0.0105, ..., -0.0099, -0.0031, -0.0495], ..., [ 0.0070, -0.0665, 0.1066, ..., 0.0106, -0.0469, 0.0344], [-0.0163, 0.0418, -0.0764, ..., -0.0376, -0.0072, -0.0555], [-0.0508, 0.0592, 0.0488, ..., -0.0454, -0.0216, -0.0194]], device='cuda:0'), grad: tensor([[ 2.6092e-05, 6.7215e-03, 2.5940e-03, ..., 1.0689e-02, 7.3128e-03, 1.1797e-03], [ 6.1095e-05, -1.2884e-03, 1.4954e-03, ..., 7.8888e-03, 9.5272e-04, 2.0920e-02], [-1.1005e-03, -2.7695e-03, -1.3037e-03, ..., -5.2567e-03, 4.0016e-03, 4.3988e-04], ..., [ 7.0870e-05, 3.9864e-03, 4.0932e-03, ..., 6.5575e-03, 2.3708e-03, 1.4353e-03], [ 5.2547e-04, -3.9864e-03, -5.9204e-03, ..., -4.9362e-03, -3.0518e-03, 1.0948e-03], [ 1.5545e-04, 6.9351e-03, 2.3067e-04, ..., 5.2109e-03, 4.3640e-03, -2.4843e-04]], device='cuda:0') Epoch 90, bias, value: tensor([-0.0136, 0.0189, 0.0034, -0.0081, 0.0187, -0.0294, 0.0101, -0.0056, 0.0012, -0.0118], device='cuda:0'), grad: tensor([ 0.0402, 0.0054, -0.0067, 0.0273, 0.0073, -0.0865, 0.0045, 0.0257, -0.0325, 0.0154], device='cuda:0') 100 0.0001 changing lr epoch 89, time 214.92, cls_loss 0.7175 cls_loss_mapping 0.0242 cls_loss_causal 0.6094 re_mapping 0.0177 re_causal 0.0395 /// teacc 98.30 lr 0.00010000 Epoch 91, weight, value: tensor([[-0.0560, -0.0627, -0.0701, ..., -0.0241, 0.0405, -0.0661], [-0.0326, -0.0636, -0.0368, ..., 0.0846, -0.0320, 0.1433], [ 0.0125, -0.0179, -0.0110, ..., -0.0107, -0.0029, -0.0494], ..., [ 0.0083, -0.0680, 0.1064, ..., 0.0115, -0.0472, 0.0339], [-0.0158, 0.0420, -0.0769, ..., -0.0381, -0.0069, -0.0562], [-0.0522, 0.0592, 0.0483, ..., -0.0451, -0.0228, -0.0190]], device='cuda:0'), grad: tensor([[ 0.0006, -0.0063, -0.0035, ..., -0.0109, -0.0096, -0.0038], [-0.0033, -0.0006, 0.0004, ..., -0.0264, 0.0014, -0.0114], [ 0.0002, 0.0020, 0.0009, ..., -0.0062, -0.0210, 0.0012], ..., [ 0.0006, 0.0050, 0.0008, ..., 0.0116, 0.0144, 0.0017], [ 0.0009, 0.0064, 0.0013, ..., 0.0267, 0.0018, 0.0108], [ 0.0002, 0.0027, 0.0008, ..., 0.0086, 0.0043, 0.0011]], device='cuda:0') Epoch 91, bias, value: tensor([-0.0145, 0.0191, 0.0030, -0.0073, 0.0186, -0.0296, 0.0100, -0.0049, 0.0017, -0.0122], device='cuda:0'), grad: tensor([-0.0341, -0.0588, -0.0352, 0.0253, -0.0040, -0.0306, -0.0205, 0.0293, 0.0837, 0.0450], device='cuda:0') 100 0.0001 changing lr epoch 90, time 214.94, cls_loss 0.6774 cls_loss_mapping 0.0213 cls_loss_causal 0.5704 re_mapping 0.0179 re_causal 0.0384 /// teacc 98.28 lr 0.00010000 Epoch 92, weight, value: tensor([[-0.0569, -0.0637, -0.0702, ..., -0.0239, 0.0407, -0.0660], [-0.0326, -0.0622, -0.0367, ..., 0.0852, -0.0320, 0.1437], [ 0.0115, -0.0194, -0.0109, ..., -0.0119, -0.0044, -0.0496], ..., [ 0.0084, -0.0673, 0.1065, ..., 0.0136, -0.0468, 0.0342], [-0.0151, 0.0422, -0.0762, ..., -0.0391, -0.0069, -0.0568], [-0.0515, 0.0592, 0.0480, ..., -0.0456, -0.0227, -0.0195]], device='cuda:0'), grad: tensor([[ 1.0230e-05, -9.5701e-04, 1.7262e-04, ..., -1.7868e-02, 2.1076e-04, 1.2003e-05], [ 2.0146e-05, 5.3444e-03, 9.4473e-05, ..., 2.6154e-02, 6.5565e-05, 5.5313e-05], [ 1.8299e-05, -7.8735e-03, 2.4199e-04, ..., -9.0103e-03, 4.0627e-04, 2.2024e-05], ..., [-6.3121e-05, -2.3613e-03, 2.4128e-03, ..., -1.5030e-02, 1.4067e-04, 1.2130e-04], [ 1.8060e-05, 2.2507e-03, 7.5579e-04, ..., 1.0124e-02, 9.0456e-04, 1.5211e-04], [ 3.3170e-05, 1.4791e-03, -2.6035e-03, ..., 8.9569e-03, 5.1880e-04, -3.9816e-04]], device='cuda:0') Epoch 92, bias, value: tensor([-0.0146, 0.0191, 0.0023, -0.0071, 0.0187, -0.0295, 0.0103, -0.0040, 0.0012, -0.0125], device='cuda:0'), grad: tensor([-0.0435, 0.0421, -0.0288, 0.0143, 0.0229, 0.0064, -0.0333, 0.0187, 0.0050, -0.0038], device='cuda:0') 100 0.0001 changing lr epoch 91, time 214.79, cls_loss 0.7244 cls_loss_mapping 0.0244 cls_loss_causal 0.6202 re_mapping 0.0176 re_causal 0.0388 /// teacc 98.17 lr 0.00010000 Epoch 93, weight, value: tensor([[-0.0547, -0.0639, -0.0705, ..., -0.0234, 0.0419, -0.0663], [-0.0338, -0.0618, -0.0381, ..., 0.0850, -0.0317, 0.1438], [ 0.0120, -0.0187, -0.0099, ..., -0.0117, -0.0053, -0.0493], ..., [ 0.0103, -0.0685, 0.1068, ..., 0.0149, -0.0471, 0.0358], [-0.0158, 0.0421, -0.0766, ..., -0.0404, -0.0053, -0.0574], [-0.0527, 0.0604, 0.0487, ..., -0.0451, -0.0242, -0.0198]], device='cuda:0'), grad: tensor([[ 2.8089e-05, -1.2398e-02, 6.5327e-04, ..., -4.9667e-03, -1.4366e-02, 1.3125e-04], [ 6.0499e-05, 1.1597e-03, 4.6325e-04, ..., 3.1662e-03, 1.1139e-03, 2.4307e-04], [ 1.3857e-03, 7.5989e-03, 1.5917e-03, ..., 5.0049e-03, -4.7035e-03, 6.7377e-04], ..., [ 1.3208e-04, -7.0877e-03, 2.7905e-03, ..., -9.9869e-03, 1.3008e-03, 1.9588e-03], [ 3.7336e-04, 1.6724e-02, 1.6918e-03, ..., -3.1986e-03, 7.2594e-03, 2.7523e-03], [-1.2417e-03, -3.5248e-03, -8.1635e-03, ..., -1.0422e-02, -4.0245e-03, -9.2773e-03]], device='cuda:0') Epoch 93, bias, value: tensor([-0.0144, 0.0189, 0.0025, -0.0072, 0.0177, -0.0297, 0.0104, -0.0035, 0.0006, -0.0115], device='cuda:0'), grad: tensor([-0.0583, 0.0129, 0.0244, 0.0215, -0.0200, 0.0444, 0.0383, -0.0414, 0.0150, -0.0367], device='cuda:0') 100 0.0001 changing lr epoch 92, time 214.92, cls_loss 0.7294 cls_loss_mapping 0.0224 cls_loss_causal 0.6338 re_mapping 0.0182 re_causal 0.0408 /// teacc 98.12 lr 0.00010000 Epoch 94, weight, value: tensor([[-0.0527, -0.0648, -0.0717, ..., -0.0242, 0.0426, -0.0673], [-0.0328, -0.0630, -0.0381, ..., 0.0851, -0.0317, 0.1440], [ 0.0122, -0.0192, -0.0103, ..., -0.0124, -0.0048, -0.0503], ..., [ 0.0095, -0.0669, 0.1077, ..., 0.0149, -0.0465, 0.0359], [-0.0156, 0.0422, -0.0769, ..., -0.0403, -0.0055, -0.0576], [-0.0527, 0.0600, 0.0482, ..., -0.0450, -0.0243, -0.0185]], device='cuda:0'), grad: tensor([[ 0.0005, 0.0003, 0.0006, ..., 0.0097, 0.0013, 0.0005], [-0.0018, -0.0001, -0.0033, ..., -0.0219, 0.0004, -0.0046], [ 0.0018, 0.0003, 0.0015, ..., 0.0139, 0.0051, 0.0017], ..., [ 0.0004, -0.0162, -0.0017, ..., 0.0073, 0.0006, -0.0024], [ 0.0007, 0.0055, 0.0005, ..., -0.0043, 0.0009, 0.0011], [-0.0037, 0.0061, 0.0039, ..., -0.0062, -0.0040, 0.0009]], device='cuda:0') Epoch 94, bias, value: tensor([-0.0151, 0.0191, 0.0016, -0.0068, 0.0180, -0.0295, 0.0105, -0.0029, 0.0005, -0.0117], device='cuda:0'), grad: tensor([ 0.0388, -0.0574, 0.0411, -0.0054, -0.0684, 0.0256, 0.0176, 0.0193, -0.0167, 0.0056], device='cuda:0') 100 0.0001 changing lr epoch 93, time 215.00, cls_loss 0.7074 cls_loss_mapping 0.0173 cls_loss_causal 0.6167 re_mapping 0.0179 re_causal 0.0423 /// teacc 98.03 lr 0.00010000 Epoch 95, weight, value: tensor([[-0.0538, -0.0651, -0.0718, ..., -0.0246, 0.0420, -0.0671], [-0.0331, -0.0631, -0.0398, ..., 0.0847, -0.0315, 0.1449], [ 0.0129, -0.0197, -0.0099, ..., -0.0118, -0.0049, -0.0499], ..., [ 0.0091, -0.0665, 0.1091, ..., 0.0149, -0.0467, 0.0354], [-0.0145, 0.0417, -0.0776, ..., -0.0401, -0.0062, -0.0570], [-0.0540, 0.0601, 0.0476, ..., -0.0455, -0.0249, -0.0194]], device='cuda:0'), grad: tensor([[ 5.2261e-04, 6.7759e-04, 4.9782e-04, ..., 2.5272e-03, 6.4802e-04, 2.5463e-03], [ 5.9456e-05, -2.4261e-03, 1.9729e-04, ..., -9.6817e-03, -2.5845e-03, -2.1763e-03], [ 2.8324e-04, 3.5667e-03, -5.9319e-04, ..., 2.1000e-03, 6.0081e-04, 7.9298e-04], ..., [ 4.9639e-04, 4.0092e-03, 2.6054e-03, ..., 3.3150e-03, 1.0080e-03, 4.1389e-03], [ 1.9550e-04, 3.0689e-03, 1.8806e-03, ..., 2.9316e-03, 1.1244e-03, -3.6335e-03], [-1.5898e-03, 1.4677e-03, -4.3144e-03, ..., -9.1324e-03, 7.9823e-04, -3.5667e-03]], device='cuda:0') Epoch 95, bias, value: tensor([-0.0150, 0.0179, 0.0027, -0.0061, 0.0182, -0.0295, 0.0102, -0.0034, 0.0012, -0.0124], device='cuda:0'), grad: tensor([ 0.0296, -0.0254, 0.0225, -0.0404, 0.0130, -0.0270, 0.0191, 0.0267, 0.0191, -0.0374], device='cuda:0') 100 0.0001 changing lr epoch 94, time 214.48, cls_loss 0.7119 cls_loss_mapping 0.0227 cls_loss_causal 0.6049 re_mapping 0.0177 re_causal 0.0384 /// teacc 98.26 lr 0.00010000 Epoch 96, weight, value: tensor([[-0.0530, -0.0648, -0.0707, ..., -0.0233, 0.0420, -0.0664], [-0.0324, -0.0639, -0.0409, ..., 0.0849, -0.0309, 0.1465], [ 0.0136, -0.0200, -0.0110, ..., -0.0114, -0.0050, -0.0496], ..., [ 0.0078, -0.0673, 0.1093, ..., 0.0156, -0.0472, 0.0345], [-0.0143, 0.0412, -0.0778, ..., -0.0402, -0.0061, -0.0584], [-0.0502, 0.0614, 0.0485, ..., -0.0461, -0.0255, -0.0191]], device='cuda:0'), grad: tensor([[ 0.0004, 0.0006, -0.0018, ..., -0.0100, 0.0002, -0.0050], [ 0.0002, -0.0162, -0.0141, ..., -0.0132, 0.0004, -0.0091], [ 0.0018, -0.0116, -0.0058, ..., -0.0200, -0.0041, -0.0028], ..., [ 0.0009, 0.0020, 0.0018, ..., 0.0068, 0.0003, -0.0003], [-0.0015, 0.0074, 0.0066, ..., 0.0070, 0.0007, 0.0029], [ 0.0002, 0.0056, 0.0061, ..., 0.0094, 0.0010, 0.0051]], device='cuda:0') Epoch 96, bias, value: tensor([-0.0142, 0.0189, 0.0024, -0.0065, 0.0180, -0.0300, 0.0100, -0.0030, 0.0006, -0.0125], device='cuda:0'), grad: tensor([-0.0113, -0.0378, -0.0428, -0.0018, 0.0170, 0.0272, -0.0091, 0.0219, 0.0006, 0.0360], device='cuda:0') 100 0.0001 changing lr epoch 95, time 214.47, cls_loss 0.6691 cls_loss_mapping 0.0170 cls_loss_causal 0.5616 re_mapping 0.0173 re_causal 0.0393 /// teacc 98.24 lr 0.00010000 Epoch 97, weight, value: tensor([[-0.0538, -0.0651, -0.0709, ..., -0.0237, 0.0428, -0.0675], [-0.0327, -0.0640, -0.0405, ..., 0.0853, -0.0309, 0.1484], [ 0.0131, -0.0200, -0.0114, ..., -0.0107, -0.0051, -0.0505], ..., [ 0.0080, -0.0668, 0.1095, ..., 0.0146, -0.0469, 0.0348], [-0.0149, 0.0419, -0.0785, ..., -0.0398, -0.0063, -0.0589], [-0.0495, 0.0615, 0.0491, ..., -0.0470, -0.0265, -0.0187]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 1.8930e-04, -6.5374e-04, ..., -3.1872e-03, 4.7565e-04, 3.9673e-04], [ 4.3586e-07, -1.8328e-05, -4.8399e-04, ..., -3.9749e-03, 7.3433e-05, -1.7490e-03], [ 6.3777e-06, -1.7004e-03, 4.4346e-04, ..., -1.4236e-02, -2.5606e-04, -5.5027e-04], ..., [-5.7407e-06, 4.6134e-05, 1.4424e-04, ..., 2.9621e-03, 1.6391e-04, -5.9319e-03], [ 7.2364e-07, -1.5306e-03, 2.8872e-04, ..., 5.0316e-03, -7.9422e-03, 1.5602e-03], [-2.5760e-06, 9.1076e-04, -6.7592e-05, ..., 2.1229e-03, 4.1428e-03, 3.4599e-03]], device='cuda:0') Epoch 97, bias, value: tensor([-0.0144, 0.0196, 0.0032, -0.0066, 0.0184, -0.0301, 0.0094, -0.0037, 0.0009, -0.0131], device='cuda:0'), grad: tensor([-0.0143, -0.0032, -0.0343, -0.0144, 0.0230, 0.0084, 0.0076, 0.0008, 0.0042, 0.0223], device='cuda:0') 100 0.0001 changing lr epoch 96, time 214.75, cls_loss 0.6912 cls_loss_mapping 0.0195 cls_loss_causal 0.6044 re_mapping 0.0169 re_causal 0.0373 /// teacc 98.19 lr 0.00010000 Epoch 98, weight, value: tensor([[-0.0541, -0.0651, -0.0704, ..., -0.0239, 0.0419, -0.0684], [-0.0338, -0.0640, -0.0412, ..., 0.0857, -0.0317, 0.1498], [ 0.0123, -0.0206, -0.0117, ..., -0.0106, -0.0053, -0.0514], ..., [ 0.0098, -0.0660, 0.1092, ..., 0.0147, -0.0472, 0.0363], [-0.0153, 0.0420, -0.0771, ..., -0.0398, -0.0058, -0.0604], [-0.0511, 0.0612, 0.0504, ..., -0.0469, -0.0253, -0.0195]], device='cuda:0'), grad: tensor([[ 1.1641e-04, 8.4152e-03, -5.7220e-04, ..., -3.5286e-03, 2.2659e-03, -2.3708e-03], [ 1.2481e-04, -9.7573e-05, 7.0906e-04, ..., -7.3509e-03, 1.4770e-04, -3.7823e-03], [ 7.2956e-04, 1.7563e-02, 1.1482e-03, ..., 3.1605e-03, 4.4289e-03, 1.9665e-03], ..., [ 2.0516e-04, 6.8045e-04, -5.5542e-03, ..., -4.4899e-03, 1.3790e-03, -2.8019e-03], [ 2.5606e-04, -1.0633e-03, -2.5501e-03, ..., -2.5959e-03, -4.8332e-03, -4.4556e-03], [-8.0566e-03, 3.3169e-03, 6.5384e-03, ..., 1.7583e-04, 2.7256e-03, 4.8141e-03]], device='cuda:0') Epoch 98, bias, value: tensor([-0.0154, 0.0200, 0.0033, -0.0075, 0.0183, -0.0304, 0.0101, -0.0031, 0.0005, -0.0123], device='cuda:0'), grad: tensor([-0.0095, -0.0190, 0.0275, -0.0154, 0.0339, -0.0072, 0.0234, -0.0282, -0.0113, 0.0059], device='cuda:0') 100 0.0001 changing lr epoch 97, time 214.71, cls_loss 0.6714 cls_loss_mapping 0.0201 cls_loss_causal 0.5691 re_mapping 0.0166 re_causal 0.0360 /// teacc 98.36 lr 0.00010000 Epoch 99, weight, value: tensor([[-0.0548, -0.0643, -0.0715, ..., -0.0237, 0.0422, -0.0684], [-0.0327, -0.0649, -0.0428, ..., 0.0857, -0.0318, 0.1500], [ 0.0117, -0.0198, -0.0114, ..., -0.0103, -0.0052, -0.0520], ..., [ 0.0091, -0.0661, 0.1106, ..., 0.0149, -0.0471, 0.0368], [-0.0162, 0.0425, -0.0769, ..., -0.0392, -0.0051, -0.0595], [-0.0502, 0.0610, 0.0494, ..., -0.0474, -0.0262, -0.0202]], device='cuda:0'), grad: tensor([[ 2.8029e-05, 2.4796e-05, 1.9443e-04, ..., 2.7695e-03, -1.5678e-03, 6.8855e-04], [ 6.3241e-05, 2.7609e-04, 1.0090e-03, ..., -4.6349e-03, 1.1511e-03, 1.2026e-03], [ 9.4223e-04, 6.5327e-05, 6.0558e-04, ..., 1.3794e-02, 7.3862e-04, 2.3041e-03], ..., [ 1.1790e-04, 4.2558e-04, 1.1406e-03, ..., 3.9215e-03, 1.0061e-03, 2.5921e-03], [ 3.5119e-04, 3.1185e-03, 3.5553e-03, ..., 3.3932e-03, 3.4599e-03, 1.9665e-03], [-9.8991e-04, -4.3640e-03, -1.2657e-02, ..., -1.6174e-02, -1.2123e-02, -1.9806e-02]], device='cuda:0') Epoch 99, bias, value: tensor([-0.0155, 0.0194, 0.0046, -0.0078, 0.0180, -0.0299, 0.0093, -0.0030, 0.0016, -0.0132], device='cuda:0'), grad: tensor([ 0.0065, -0.0177, 0.0357, -0.0200, -0.0095, 0.0267, 0.0072, 0.0144, 0.0156, -0.0589], device='cuda:0') 100 0.0001 changing lr epoch 98, time 214.72, cls_loss 0.6958 cls_loss_mapping 0.0179 cls_loss_causal 0.5973 re_mapping 0.0169 re_causal 0.0388 /// teacc 98.23 lr 0.00010000 Epoch 100, weight, value: tensor([[-0.0546, -0.0646, -0.0722, ..., -0.0236, 0.0422, -0.0688], [-0.0326, -0.0653, -0.0434, ..., 0.0850, -0.0317, 0.1495], [ 0.0108, -0.0196, -0.0103, ..., -0.0102, -0.0048, -0.0516], ..., [ 0.0089, -0.0669, 0.1100, ..., 0.0143, -0.0469, 0.0367], [-0.0164, 0.0424, -0.0779, ..., -0.0389, -0.0054, -0.0592], [-0.0499, 0.0610, 0.0513, ..., -0.0458, -0.0266, -0.0189]], device='cuda:0'), grad: tensor([[ 1.4231e-05, 3.4690e-04, 1.9264e-03, ..., 5.2261e-03, 4.9591e-04, 3.2139e-03], [ 1.8520e-03, 3.1319e-03, 5.7888e-04, ..., 2.3556e-03, 9.4748e-04, 3.3855e-03], [ 7.6485e-04, -2.4490e-03, 1.5936e-03, ..., 9.5901e-03, 3.7217e-04, 5.7449e-03], ..., [ 5.5981e-04, 1.1330e-03, -6.9351e-03, ..., 8.5211e-04, 4.0150e-04, -9.8267e-03], [ 1.4770e-04, 4.0507e-04, 1.0624e-03, ..., -4.7646e-03, -6.6757e-03, -8.5068e-03], [-2.6531e-03, -3.6602e-03, -4.9248e-03, ..., -1.1017e-02, 7.9632e-04, -2.2621e-03]], device='cuda:0') Epoch 100, bias, value: tensor([-0.0154, 0.0192, 0.0048, -0.0082, 0.0183, -0.0305, 0.0097, -0.0039, 0.0009, -0.0113], device='cuda:0'), grad: tensor([ 2.3102e-02, -1.5732e-02, 5.9634e-05, 1.8494e-02, 1.4145e-02, 8.7433e-03, -6.3744e-03, -7.1220e-03, -1.8082e-02, -1.7242e-02], device='cuda:0') 100 0.0001 changing lr epoch 99, time 214.38, cls_loss 0.6968 cls_loss_mapping 0.0184 cls_loss_causal 0.5988 re_mapping 0.0170 re_causal 0.0377 /// teacc 98.13 lr 0.00010000 Epoch 101, weight, value: tensor([[-0.0546, -0.0650, -0.0727, ..., -0.0236, 0.0419, -0.0691], [-0.0333, -0.0652, -0.0437, ..., 0.0847, -0.0315, 0.1495], [ 0.0110, -0.0195, -0.0100, ..., -0.0093, -0.0047, -0.0527], ..., [ 0.0089, -0.0670, 0.1104, ..., 0.0141, -0.0475, 0.0362], [-0.0173, 0.0429, -0.0799, ..., -0.0380, -0.0054, -0.0576], [-0.0510, 0.0605, 0.0516, ..., -0.0462, -0.0271, -0.0182]], device='cuda:0'), grad: tensor([[ 0.0010, 0.0011, 0.0002, ..., 0.0023, 0.0011, 0.0001], [ 0.0005, 0.0004, 0.0003, ..., -0.0070, 0.0007, -0.0001], [ 0.0010, 0.0102, 0.0003, ..., -0.0025, 0.0023, 0.0001], ..., [ 0.0015, 0.0006, 0.0011, ..., 0.0023, 0.0012, 0.0003], [ 0.0018, -0.0135, -0.0047, ..., -0.0041, -0.0157, -0.0006], [ 0.0024, 0.0019, 0.0013, ..., 0.0049, 0.0030, 0.0002]], device='cuda:0') Epoch 101, bias, value: tensor([-0.0162, 0.0195, 0.0054, -0.0078, 0.0179, -0.0309, 0.0099, -0.0041, 0.0018, -0.0120], device='cuda:0'), grad: tensor([ 0.0178, -0.0387, 0.0031, 0.0343, 0.0168, -0.0199, -0.0162, 0.0194, -0.0452, 0.0287], device='cuda:0') 100 0.0001 changing lr epoch 100, time 214.57, cls_loss 0.6910 cls_loss_mapping 0.0218 cls_loss_causal 0.5988 re_mapping 0.0171 re_causal 0.0372 /// teacc 98.23 lr 0.00010000 Epoch 102, weight, value: tensor([[-0.0546, -0.0657, -0.0725, ..., -0.0230, 0.0412, -0.0691], [-0.0340, -0.0639, -0.0421, ..., 0.0857, -0.0307, 0.1502], [ 0.0095, -0.0205, -0.0110, ..., -0.0089, -0.0051, -0.0525], ..., [ 0.0087, -0.0672, 0.1097, ..., 0.0138, -0.0483, 0.0367], [-0.0171, 0.0434, -0.0813, ..., -0.0381, -0.0048, -0.0580], [-0.0510, 0.0614, 0.0523, ..., -0.0458, -0.0270, -0.0181]], device='cuda:0'), grad: tensor([[ 1.0775e-06, 6.0415e-04, 2.4915e-04, ..., 8.8882e-04, -1.0233e-03, 7.9727e-04], [ 1.2733e-05, -2.6751e-04, 6.9475e-04, ..., -3.4103e-03, 7.1716e-04, -1.5335e-03], [ 3.3474e-04, 2.8877e-03, 6.3210e-03, ..., 5.5695e-03, 1.6165e-03, 4.4479e-03], ..., [-4.3082e-04, -1.8585e-02, -4.9248e-03, ..., -1.9608e-03, 3.8910e-04, -2.1606e-02], [ 1.4476e-05, 1.8129e-03, 2.3174e-04, ..., 2.1133e-03, 9.7656e-04, 1.3037e-03], [ 8.7172e-06, 1.0887e-02, -4.6730e-03, ..., -5.8746e-03, 2.6822e-04, 1.3916e-02]], device='cuda:0') Epoch 102, bias, value: tensor([-0.0159, 0.0196, 0.0056, -0.0078, 0.0178, -0.0302, 0.0093, -0.0040, 0.0014, -0.0122], device='cuda:0'), grad: tensor([ 0.0073, -0.0026, 0.0153, -0.0031, 0.0271, -0.0270, 0.0089, -0.0222, -0.0083, 0.0047], device='cuda:0') 100 0.0001 changing lr epoch 101, time 214.31, cls_loss 0.6757 cls_loss_mapping 0.0189 cls_loss_causal 0.5726 re_mapping 0.0182 re_causal 0.0390 /// teacc 98.03 lr 0.00010000 Epoch 103, weight, value: tensor([[-0.0543, -0.0655, -0.0731, ..., -0.0226, 0.0412, -0.0697], [-0.0358, -0.0630, -0.0408, ..., 0.0855, -0.0291, 0.1514], [ 0.0089, -0.0217, -0.0108, ..., -0.0091, -0.0063, -0.0521], ..., [ 0.0108, -0.0667, 0.1096, ..., 0.0137, -0.0479, 0.0365], [-0.0177, 0.0427, -0.0824, ..., -0.0386, -0.0043, -0.0582], [-0.0520, 0.0612, 0.0532, ..., -0.0458, -0.0265, -0.0179]], device='cuda:0'), grad: tensor([[ 6.8918e-08, 2.1839e-04, -3.9458e-04, ..., 2.8968e-04, 1.5497e-04, 5.4884e-04], [ 1.0291e-07, 1.7241e-05, 8.6355e-04, ..., 2.4033e-04, 1.6546e-04, 3.6564e-03], [ 5.4017e-07, 2.1648e-03, 9.5081e-04, ..., 2.0771e-03, 1.5771e-04, 3.5648e-03], ..., [ 3.8706e-06, -1.9550e-03, -1.4102e-04, ..., -4.1656e-03, -1.3227e-03, -6.0272e-03], [ 3.7774e-06, 1.6756e-03, -2.8276e-04, ..., 3.1071e-03, 1.2314e-04, 1.1787e-03], [-6.3591e-06, 3.4466e-03, 9.6178e-04, ..., 7.7019e-03, 9.2089e-05, 1.1276e-02]], device='cuda:0') Epoch 103, bias, value: tensor([-0.0156, 0.0198, 0.0048, -0.0076, 0.0179, -0.0305, 0.0100, -0.0036, 0.0009, -0.0124], device='cuda:0'), grad: tensor([-0.0006, 0.0117, -0.0004, 0.0293, -0.0522, -0.0675, 0.0420, -0.0060, 0.0097, 0.0340], device='cuda:0') 100 0.0001 changing lr epoch 102, time 214.84, cls_loss 0.6613 cls_loss_mapping 0.0201 cls_loss_causal 0.5661 re_mapping 0.0167 re_causal 0.0376 /// teacc 98.19 lr 0.00010000 Epoch 104, weight, value: tensor([[-0.0546, -0.0658, -0.0733, ..., -0.0225, 0.0409, -0.0699], [-0.0359, -0.0631, -0.0395, ..., 0.0855, -0.0290, 0.1524], [ 0.0084, -0.0220, -0.0117, ..., -0.0081, -0.0069, -0.0531], ..., [ 0.0108, -0.0661, 0.1103, ..., 0.0131, -0.0486, 0.0360], [-0.0174, 0.0432, -0.0826, ..., -0.0390, -0.0040, -0.0592], [-0.0521, 0.0606, 0.0530, ..., -0.0460, -0.0265, -0.0173]], device='cuda:0'), grad: tensor([[ 1.1243e-05, -3.1257e-04, 3.8290e-04, ..., 7.6628e-04, -2.5597e-03, -1.3769e-04], [ 1.2346e-05, 9.9087e-04, 1.1759e-03, ..., -8.5449e-03, -4.0531e-04, -1.9236e-03], [ 3.3498e-05, -8.7204e-03, -3.7193e-03, ..., 1.2306e-02, 1.1635e-03, 2.5024e-03], ..., [ 1.1718e-04, -8.8348e-03, -1.1467e-02, ..., -1.2047e-02, -3.5648e-03, 2.3899e-03], [ 3.7104e-05, 5.6725e-03, 2.3632e-03, ..., 2.3746e-03, 1.0815e-03, 2.2507e-03], [-4.2629e-04, -2.8931e-02, -8.8043e-03, ..., -2.1454e-02, -4.2419e-03, -6.0158e-03]], device='cuda:0') Epoch 104, bias, value: tensor([-0.0161, 0.0198, 0.0054, -0.0076, 0.0175, -0.0299, 0.0095, -0.0038, 0.0009, -0.0123], device='cuda:0'), grad: tensor([ 0.0018, -0.0016, 0.0105, 0.0735, -0.0173, 0.0293, 0.0138, -0.0338, 0.0020, -0.0782], device='cuda:0') 100 0.0001 changing lr epoch 103, time 214.94, cls_loss 0.6783 cls_loss_mapping 0.0171 cls_loss_causal 0.5742 re_mapping 0.0171 re_causal 0.0375 /// teacc 98.47 lr 0.00010000 Epoch 105, weight, value: tensor([[-0.0552, -0.0668, -0.0730, ..., -0.0228, 0.0408, -0.0692], [-0.0343, -0.0629, -0.0396, ..., 0.0853, -0.0295, 0.1538], [ 0.0080, -0.0216, -0.0117, ..., -0.0083, -0.0064, -0.0535], ..., [ 0.0105, -0.0666, 0.1102, ..., 0.0131, -0.0488, 0.0346], [-0.0177, 0.0443, -0.0831, ..., -0.0386, -0.0051, -0.0605], [-0.0520, 0.0610, 0.0533, ..., -0.0455, -0.0268, -0.0162]], device='cuda:0'), grad: tensor([[ 3.4925e-08, 1.0996e-03, 5.2929e-04, ..., 3.8319e-03, 2.6345e-04, 7.7903e-05], [ 7.0781e-08, 5.5170e-04, 1.8644e-04, ..., 1.9331e-03, 1.5664e-04, -7.3016e-05], [-2.5537e-06, 3.3779e-03, 1.0872e-03, ..., -1.7328e-03, -1.7834e-03, 2.5678e-04], ..., [ 2.0396e-07, 1.8044e-03, -5.6343e-03, ..., -2.2011e-03, -1.7996e-03, 3.9577e-05], [ 1.2415e-06, 1.5503e-02, 1.9312e-03, ..., 1.5640e-03, 6.8617e-04, -7.2098e-04], [ 3.4878e-07, 3.0251e-03, 1.5755e-03, ..., 6.8474e-03, 7.1621e-04, 1.6346e-03]], device='cuda:0') Epoch 105, bias, value: tensor([-1.5807e-02, 1.9879e-02, 5.4242e-03, -7.1421e-03, 1.7674e-02, -2.9805e-02, 9.5737e-03, -4.2043e-03, 1.9889e-05, -1.1983e-02], device='cuda:0'), grad: tensor([ 0.0144, 0.0075, 0.0028, -0.0922, 0.0170, 0.0244, 0.0184, -0.0105, -0.0089, 0.0270], device='cuda:0') 100 0.0001 changing lr epoch 104, time 214.69, cls_loss 0.6877 cls_loss_mapping 0.0148 cls_loss_causal 0.5926 re_mapping 0.0165 re_causal 0.0375 /// teacc 98.28 lr 0.00010000 Epoch 106, weight, value: tensor([[-0.0556, -0.0677, -0.0727, ..., -0.0236, 0.0411, -0.0693], [-0.0349, -0.0611, -0.0389, ..., 0.0861, -0.0300, 0.1546], [ 0.0073, -0.0205, -0.0115, ..., -0.0081, -0.0059, -0.0538], ..., [ 0.0109, -0.0672, 0.1114, ..., 0.0138, -0.0499, 0.0347], [-0.0174, 0.0444, -0.0838, ..., -0.0388, -0.0046, -0.0611], [-0.0515, 0.0606, 0.0513, ..., -0.0463, -0.0256, -0.0163]], device='cuda:0'), grad: tensor([[ 6.3330e-08, 9.3460e-04, 4.0078e-04, ..., 6.0730e-03, 4.0894e-03, 6.7253e-03], [ 2.1327e-07, 1.3885e-03, 5.8794e-04, ..., 6.5002e-03, 1.4057e-03, 4.9706e-03], [ 4.2748e-07, 7.1478e-04, 1.3027e-03, ..., 2.1305e-03, 3.3989e-03, 7.1030e-03], ..., [ 1.4994e-07, 3.6931e-04, 7.5960e-04, ..., -3.3321e-03, 7.0667e-04, 1.4791e-03], [-3.9153e-06, 1.6966e-03, -3.1853e-04, ..., -5.3787e-03, -1.9852e-02, -1.3107e-02], [ 1.6838e-06, 4.0197e-04, -1.7385e-03, ..., 4.6730e-03, 2.5196e-03, -1.5318e-04]], device='cuda:0') Epoch 106, bias, value: tensor([-0.0170, 0.0205, 0.0058, -0.0073, 0.0183, -0.0299, 0.0097, -0.0035, -0.0001, -0.0129], device='cuda:0'), grad: tensor([ 0.0049, 0.0275, -0.0005, -0.0051, 0.0411, -0.0818, 0.0229, -0.0031, -0.0079, 0.0021], device='cuda:0') 100 0.0001 changing lr epoch 105, time 214.79, cls_loss 0.6213 cls_loss_mapping 0.0150 cls_loss_causal 0.5284 re_mapping 0.0170 re_causal 0.0369 /// teacc 98.43 lr 0.00010000 Epoch 107, weight, value: tensor([[-0.0553, -0.0685, -0.0725, ..., -0.0237, 0.0402, -0.0700], [-0.0350, -0.0617, -0.0390, ..., 0.0866, -0.0294, 0.1550], [ 0.0072, -0.0199, -0.0129, ..., -0.0080, -0.0052, -0.0550], ..., [ 0.0110, -0.0684, 0.1116, ..., 0.0143, -0.0500, 0.0353], [-0.0196, 0.0438, -0.0849, ..., -0.0388, -0.0044, -0.0601], [-0.0502, 0.0616, 0.0515, ..., -0.0467, -0.0262, -0.0165]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 8.1778e-05, 1.1183e-05, ..., -1.5732e-02, 1.3180e-03, -4.9438e-03], [ 0.0000e+00, -6.7520e-04, 3.5667e-04, ..., 8.1301e-04, 3.8028e-04, -7.5417e-03], [ 0.0000e+00, 1.4181e-03, 4.9859e-05, ..., -4.2801e-03, -2.0580e-03, 3.0651e-03], ..., [ 0.0000e+00, 9.6226e-04, 8.4043e-05, ..., 6.7863e-03, 1.0271e-03, 6.4812e-03], [ 0.0000e+00, 3.3989e-03, 1.0288e-04, ..., 1.5402e-03, -8.6746e-03, 4.6730e-03], [ 0.0000e+00, -9.3689e-03, 2.8992e-04, ..., 9.0561e-03, 1.4448e-03, 8.6136e-03]], device='cuda:0') Epoch 107, bias, value: tensor([-1.7105e-02, 2.0296e-02, 5.6789e-03, -7.4903e-03, 1.8478e-02, -2.9656e-02, 9.3917e-03, -3.1784e-03, -2.1515e-05, -1.2826e-02], device='cuda:0'), grad: tensor([-0.0399, -0.0222, -0.0042, -0.0082, 0.0499, -0.0350, -0.0115, 0.0347, 0.0187, 0.0179], device='cuda:0') 100 0.0001 changing lr epoch 106, time 214.95, cls_loss 0.7025 cls_loss_mapping 0.0184 cls_loss_causal 0.6107 re_mapping 0.0167 re_causal 0.0373 /// teacc 98.42 lr 0.00010000 Epoch 108, weight, value: tensor([[-0.0556, -0.0695, -0.0731, ..., -0.0238, 0.0406, -0.0702], [-0.0350, -0.0625, -0.0384, ..., 0.0862, -0.0290, 0.1548], [ 0.0075, -0.0209, -0.0138, ..., -0.0084, -0.0063, -0.0554], ..., [ 0.0107, -0.0692, 0.1120, ..., 0.0148, -0.0530, 0.0354], [-0.0197, 0.0439, -0.0854, ..., -0.0390, -0.0035, -0.0613], [-0.0498, 0.0623, 0.0512, ..., -0.0466, -0.0262, -0.0163]], device='cuda:0'), grad: tensor([[ 2.0433e-06, 4.8971e-04, 6.8784e-05, ..., 2.3232e-03, 8.5020e-04, 2.2836e-06], [ 1.6224e-06, 5.6654e-05, 5.1355e-04, ..., 3.9597e-03, 1.6842e-03, 3.0566e-06], [ 6.2864e-07, 1.9714e-02, -2.0361e-04, ..., 1.7410e-02, 3.4943e-02, 6.2525e-05], ..., [ 5.4622e-07, 1.9157e-04, -2.1636e-04, ..., -3.8052e-03, -1.8215e-03, -1.4758e-04], [ 3.7439e-06, 6.4011e-03, 2.6965e-04, ..., -1.4572e-03, 1.9255e-03, 7.7635e-06], [ 2.7586e-06, -4.8488e-05, 9.2387e-05, ..., -8.1711e-03, -3.1128e-03, 3.5111e-06]], device='cuda:0') Epoch 108, bias, value: tensor([-0.0170, 0.0203, 0.0051, -0.0076, 0.0189, -0.0296, 0.0096, -0.0037, 0.0001, -0.0126], device='cuda:0'), grad: tensor([ 0.0127, 0.0148, 0.0244, -0.0311, 0.0247, -0.0108, 0.0223, -0.0191, -0.0066, -0.0314], device='cuda:0') 100 0.0001 changing lr epoch 107, time 214.89, cls_loss 0.6554 cls_loss_mapping 0.0183 cls_loss_causal 0.5746 re_mapping 0.0161 re_causal 0.0348 /// teacc 98.41 lr 0.00010000 Epoch 109, weight, value: tensor([[-0.0558, -0.0690, -0.0746, ..., -0.0239, 0.0427, -0.0689], [-0.0357, -0.0616, -0.0395, ..., 0.0859, -0.0303, 0.1550], [ 0.0081, -0.0221, -0.0146, ..., -0.0088, -0.0064, -0.0557], ..., [ 0.0097, -0.0695, 0.1133, ..., 0.0140, -0.0530, 0.0351], [-0.0197, 0.0443, -0.0853, ..., -0.0396, -0.0015, -0.0620], [-0.0503, 0.0617, 0.0506, ..., -0.0459, -0.0281, -0.0174]], device='cuda:0'), grad: tensor([[ 7.1432e-07, -4.6883e-03, -1.1911e-03, ..., -1.0521e-02, 7.8506e-03, 1.1673e-02], [ 9.6112e-07, 1.8084e-04, 3.4404e-04, ..., -1.5488e-02, -1.4099e-02, -1.3100e-02], [-8.4543e-04, 5.7030e-04, -1.6718e-03, ..., 1.1887e-02, 7.7171e-03, 1.6108e-03], ..., [ 3.4004e-05, 3.8862e-04, -1.0484e-04, ..., -4.6959e-03, -2.7943e-04, 1.4057e-03], [ 5.7173e-04, 1.3094e-03, 6.8617e-04, ..., -3.3264e-03, -3.6469e-03, -4.2305e-03], [ 1.2323e-05, 6.5088e-04, 6.1893e-04, ..., 5.1804e-03, 2.4853e-03, 1.5869e-03]], device='cuda:0') Epoch 109, bias, value: tensor([-0.0173, 0.0194, 0.0044, -0.0068, 0.0191, -0.0297, 0.0094, -0.0034, 0.0003, -0.0118], device='cuda:0'), grad: tensor([ 0.0087, -0.0741, 0.0279, 0.0338, 0.0131, -0.0327, 0.0285, -0.0044, -0.0254, 0.0246], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 108---------------------------------------------------- epoch 108, time 230.94, cls_loss 0.6631 cls_loss_mapping 0.0174 cls_loss_causal 0.5759 re_mapping 0.0167 re_causal 0.0371 /// teacc 98.48 lr 0.00010000 Epoch 110, weight, value: tensor([[-0.0558, -0.0680, -0.0749, ..., -0.0235, 0.0424, -0.0689], [-0.0362, -0.0620, -0.0401, ..., 0.0860, -0.0286, 0.1555], [ 0.0080, -0.0228, -0.0151, ..., -0.0089, -0.0092, -0.0562], ..., [ 0.0092, -0.0691, 0.1138, ..., 0.0146, -0.0517, 0.0362], [-0.0205, 0.0445, -0.0857, ..., -0.0400, -0.0006, -0.0616], [-0.0497, 0.0613, 0.0524, ..., -0.0457, -0.0283, -0.0181]], device='cuda:0'), grad: tensor([[ 6.9523e-04, 7.1526e-05, 7.1096e-04, ..., 3.1986e-03, 5.2691e-04, 1.3437e-03], [ 3.7837e-04, 2.0885e-03, 1.6713e-04, ..., -9.7656e-04, -5.2595e-04, -2.0237e-03], [ 3.5620e-04, 5.7399e-05, -3.3617e-04, ..., 3.4180e-03, 5.6219e-04, 1.3695e-03], ..., [ 4.1389e-04, 1.7233e-03, -6.3562e-04, ..., 1.3647e-03, 2.1851e-04, 1.2312e-03], [ 5.3215e-04, 1.4641e-02, 1.8511e-03, ..., -8.6823e-03, 9.2850e-03, 2.5539e-03], [ 7.7724e-04, -5.4131e-03, -2.3994e-03, ..., -4.6921e-03, 3.2723e-05, -3.2177e-03]], device='cuda:0') Epoch 110, bias, value: tensor([-0.0169, 0.0198, 0.0039, -0.0075, 0.0196, -0.0296, 0.0087, -0.0035, 0.0007, -0.0117], device='cuda:0'), grad: tensor([ 0.0231, -0.0198, 0.0182, -0.0550, 0.0197, 0.0297, -0.0097, 0.0168, 0.0021, -0.0250], device='cuda:0') 100 0.0001 changing lr epoch 109, time 214.79, cls_loss 0.6736 cls_loss_mapping 0.0133 cls_loss_causal 0.5793 re_mapping 0.0166 re_causal 0.0372 /// teacc 98.35 lr 0.00010000 Epoch 111, weight, value: tensor([[-0.0558, -0.0680, -0.0741, ..., -0.0234, 0.0429, -0.0682], [-0.0365, -0.0617, -0.0394, ..., 0.0859, -0.0294, 0.1556], [ 0.0073, -0.0231, -0.0154, ..., -0.0095, -0.0101, -0.0555], ..., [ 0.0096, -0.0689, 0.1150, ..., 0.0153, -0.0511, 0.0360], [-0.0202, 0.0436, -0.0873, ..., -0.0409, -0.0012, -0.0616], [-0.0500, 0.0615, 0.0509, ..., -0.0455, -0.0290, -0.0188]], device='cuda:0'), grad: tensor([[ 6.7241e-06, 1.2865e-03, 7.3910e-05, ..., 4.7913e-03, 3.2336e-05, 3.8886e-04], [ 2.8744e-05, 7.5531e-04, -4.7827e-04, ..., -1.5205e-02, -1.0535e-05, -1.1463e-03], [ 4.7356e-05, 4.1046e-03, 1.9760e-03, ..., 2.2629e-02, 3.2872e-05, 1.4868e-03], ..., [-2.0194e-04, -1.0857e-02, -3.3245e-03, ..., -2.1423e-02, 5.1036e-06, -8.1253e-03], [ 9.5144e-06, 3.1891e-02, 2.0909e-04, ..., -2.9850e-03, -1.4913e-04, 4.5204e-03], [ 2.0787e-05, -5.1697e-02, -5.1975e-05, ..., 2.8839e-03, 1.0490e-05, -1.7042e-03]], device='cuda:0') Epoch 111, bias, value: tensor([-1.7131e-02, 2.0179e-02, 4.1354e-03, -6.8802e-03, 1.8627e-02, -2.9886e-02, 9.6293e-03, -3.6894e-03, 9.0893e-05, -1.1622e-02], device='cuda:0'), grad: tensor([ 0.0164, -0.0503, 0.0421, 0.0308, 0.0161, -0.0165, 0.0166, -0.0582, 0.0222, -0.0192], device='cuda:0') 100 0.0001 changing lr epoch 110, time 214.82, cls_loss 0.6663 cls_loss_mapping 0.0164 cls_loss_causal 0.5709 re_mapping 0.0153 re_causal 0.0351 /// teacc 98.31 lr 0.00010000 Epoch 112, weight, value: tensor([[-0.0559, -0.0667, -0.0734, ..., -0.0240, 0.0428, -0.0682], [-0.0368, -0.0616, -0.0391, ..., 0.0862, -0.0292, 0.1553], [ 0.0077, -0.0230, -0.0151, ..., -0.0094, -0.0108, -0.0555], ..., [ 0.0094, -0.0680, 0.1154, ..., 0.0164, -0.0510, 0.0356], [-0.0208, 0.0438, -0.0877, ..., -0.0419, -0.0009, -0.0614], [-0.0501, 0.0611, 0.0508, ..., -0.0455, -0.0296, -0.0183]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 2.0146e-05, 5.2005e-05, ..., -7.1602e-03, 1.2712e-03, -1.0223e-03], [ 0.0000e+00, 8.4221e-05, 2.4128e-04, ..., 6.6032e-03, 1.9300e-04, 1.8606e-03], [ 0.0000e+00, 4.1885e-03, 1.4629e-03, ..., 1.1353e-02, 4.6005e-03, 2.5730e-03], ..., [ 0.0000e+00, -1.9970e-03, -3.0003e-03, ..., -2.0809e-03, -4.8141e-03, -5.5847e-03], [ 0.0000e+00, -1.2993e-02, 3.1071e-03, ..., -1.6842e-03, -8.9874e-03, 3.1528e-03], [ 0.0000e+00, 1.0824e-03, -4.5514e-04, ..., -7.6065e-03, 2.4738e-03, -2.4433e-03]], device='cuda:0') Epoch 112, bias, value: tensor([-0.0171, 0.0202, 0.0048, -0.0071, 0.0193, -0.0295, 0.0088, -0.0036, -0.0005, -0.0118], device='cuda:0'), grad: tensor([-0.0292, 0.0335, 0.0439, -0.0127, 0.0146, -0.0106, 0.0211, 0.0047, 0.0025, -0.0678], device='cuda:0') 100 0.0001 changing lr epoch 111, time 214.65, cls_loss 0.6733 cls_loss_mapping 0.0192 cls_loss_causal 0.5739 re_mapping 0.0159 re_causal 0.0347 /// teacc 98.48 lr 0.00010000 Epoch 113, weight, value: tensor([[-0.0562, -0.0680, -0.0741, ..., -0.0238, 0.0427, -0.0692], [-0.0369, -0.0624, -0.0397, ..., 0.0866, -0.0282, 0.1552], [ 0.0067, -0.0227, -0.0154, ..., -0.0104, -0.0104, -0.0556], ..., [ 0.0110, -0.0684, 0.1168, ..., 0.0174, -0.0510, 0.0355], [-0.0207, 0.0446, -0.0890, ..., -0.0419, -0.0016, -0.0604], [-0.0505, 0.0618, 0.0504, ..., -0.0464, -0.0279, -0.0182]], device='cuda:0'), grad: tensor([[ 6.7521e-08, 2.9683e-04, 4.3607e-04, ..., 7.2899e-03, 1.8501e-03, 2.3117e-03], [ 5.9884e-07, 7.2861e-04, 5.1117e-04, ..., -1.5015e-02, 1.2388e-03, -6.8398e-03], [-2.7977e-06, 1.8682e-03, 8.4162e-04, ..., 3.2177e-03, 3.2539e-03, 2.9182e-03], ..., [ 1.7602e-06, 1.7428e-04, -3.0861e-03, ..., 9.2392e-03, 3.9177e-03, -1.0118e-03], [-1.5497e-06, -3.0426e-02, 8.0585e-04, ..., -1.0178e-02, -2.1420e-03, -1.1129e-03], [ 8.3540e-07, 2.6459e-02, 5.5771e-03, ..., 9.3155e-03, 8.5144e-03, 5.2338e-03]], device='cuda:0') Epoch 113, bias, value: tensor([-0.0174, 0.0199, 0.0053, -0.0083, 0.0198, -0.0293, 0.0097, -0.0039, -0.0006, -0.0116], device='cuda:0'), grad: tensor([ 0.0304, -0.0311, 0.0283, -0.0158, -0.0546, -0.0037, -0.0117, 0.0060, -0.0236, 0.0759], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 112---------------------------------------------------- epoch 112, time 230.90, cls_loss 0.6772 cls_loss_mapping 0.0181 cls_loss_causal 0.5860 re_mapping 0.0162 re_causal 0.0365 /// teacc 98.49 lr 0.00010000 Epoch 114, weight, value: tensor([[-0.0565, -0.0674, -0.0746, ..., -0.0256, 0.0437, -0.0704], [-0.0372, -0.0632, -0.0408, ..., 0.0866, -0.0282, 0.1564], [ 0.0067, -0.0211, -0.0146, ..., -0.0093, -0.0117, -0.0560], ..., [ 0.0111, -0.0693, 0.1168, ..., 0.0190, -0.0541, 0.0353], [-0.0202, 0.0452, -0.0886, ..., -0.0416, -0.0007, -0.0596], [-0.0512, 0.0613, 0.0511, ..., -0.0463, -0.0266, -0.0173]], device='cuda:0'), grad: tensor([[ 1.5367e-07, -1.8044e-03, 5.3978e-04, ..., 8.2874e-04, -5.3253e-03, 4.1127e-04], [ 6.1514e-07, 9.3079e-04, 1.7548e-03, ..., 1.3695e-02, 1.1152e-04, 5.2595e-04], [-3.1851e-06, 1.4315e-03, 2.3136e-03, ..., -2.3327e-03, 1.6584e-03, 4.3297e-04], ..., [ 5.5321e-06, 2.4486e-04, -4.3106e-03, ..., -8.3084e-03, 9.5427e-05, -4.8866e-03], [-8.2608e-07, -1.8663e-03, -7.9269e-03, ..., -2.5578e-03, 2.6855e-03, 2.6875e-03], [-8.0913e-06, 9.9480e-05, 3.2043e-03, ..., -1.1894e-02, 3.6907e-04, 5.1880e-04]], device='cuda:0') Epoch 114, bias, value: tensor([-0.0189, 0.0202, 0.0052, -0.0082, 0.0200, -0.0292, 0.0094, -0.0026, -0.0004, -0.0120], device='cuda:0'), grad: tensor([ 0.0034, 0.0343, -0.0029, 0.0478, -0.0086, -0.0281, 0.0005, -0.0319, 0.0150, -0.0294], device='cuda:0') 100 0.0001 changing lr epoch 113, time 214.52, cls_loss 0.6698 cls_loss_mapping 0.0130 cls_loss_causal 0.5678 re_mapping 0.0160 re_causal 0.0360 /// teacc 98.41 lr 0.00010000 Epoch 115, weight, value: tensor([[-0.0571, -0.0688, -0.0745, ..., -0.0266, 0.0431, -0.0701], [-0.0374, -0.0634, -0.0416, ..., 0.0870, -0.0288, 0.1567], [ 0.0061, -0.0212, -0.0143, ..., -0.0085, -0.0122, -0.0563], ..., [ 0.0118, -0.0694, 0.1175, ..., 0.0179, -0.0537, 0.0357], [-0.0199, 0.0450, -0.0895, ..., -0.0408, 0.0017, -0.0588], [-0.0517, 0.0619, 0.0501, ..., -0.0464, -0.0271, -0.0174]], device='cuda:0'), grad: tensor([[ 2.6505e-06, 5.8830e-05, 6.4731e-05, ..., 8.5526e-03, -2.6264e-03, 1.1835e-03], [ 1.0677e-05, 1.4687e-04, 1.7095e-04, ..., 1.6663e-02, 2.4006e-05, -3.7193e-05], [ 1.4484e-05, 1.4675e-04, -8.3260e-07, ..., 5.3520e-03, 6.3848e-04, 9.0456e-04], ..., [ 1.6232e-03, 1.3590e-03, 3.3236e-04, ..., -1.4191e-02, 1.0061e-04, 5.6190e-03], [-2.0838e-04, 7.6389e-04, 2.8157e-04, ..., 1.0277e-02, 4.3654e-04, 1.7958e-03], [-1.5211e-03, -1.0195e-03, 3.8266e-04, ..., 7.0992e-03, 1.8919e-04, -7.8812e-03]], device='cuda:0') Epoch 115, bias, value: tensor([-0.0199, 0.0201, 0.0060, -0.0083, 0.0202, -0.0284, 0.0089, -0.0027, -0.0005, -0.0121], device='cuda:0'), grad: tensor([ 0.0246, 0.0320, 0.0071, 0.0306, -0.0676, 0.0351, -0.0634, -0.0377, 0.0331, 0.0060], device='cuda:0') 100 0.0001 changing lr epoch 114, time 214.84, cls_loss 0.6693 cls_loss_mapping 0.0166 cls_loss_causal 0.5774 re_mapping 0.0159 re_causal 0.0363 /// teacc 98.36 lr 0.00010000 Epoch 116, weight, value: tensor([[-0.0577, -0.0684, -0.0755, ..., -0.0277, 0.0435, -0.0699], [-0.0352, -0.0627, -0.0431, ..., 0.0871, -0.0286, 0.1561], [ 0.0056, -0.0216, -0.0144, ..., -0.0091, -0.0116, -0.0569], ..., [ 0.0116, -0.0704, 0.1174, ..., 0.0171, -0.0546, 0.0357], [-0.0199, 0.0452, -0.0914, ..., -0.0409, 0.0019, -0.0581], [-0.0534, 0.0619, 0.0507, ..., -0.0456, -0.0270, -0.0172]], device='cuda:0'), grad: tensor([[ 1.7062e-05, 7.7057e-04, 1.8191e-04, ..., 4.9934e-03, 5.8889e-04, 1.4620e-03], [ 1.0335e-04, -1.3809e-02, 6.4945e-04, ..., -1.4076e-02, 1.7434e-05, -9.9411e-03], [-7.8499e-05, -1.0723e-04, -5.7077e-04, ..., 4.0550e-03, -7.9989e-05, 7.9107e-04], ..., [-3.5834e-04, 5.8746e-04, -3.2654e-03, ..., -7.3547e-03, 1.1578e-05, 1.3065e-03], [ 4.6849e-05, 4.9591e-03, 3.8934e-04, ..., 1.5030e-03, 1.2469e-04, -1.0843e-03], [ 3.4153e-05, 1.3142e-03, 2.8801e-04, ..., 7.5836e-03, 3.3975e-05, 1.8282e-03]], device='cuda:0') Epoch 116, bias, value: tensor([-0.0212, 0.0201, 0.0059, -0.0088, 0.0214, -0.0278, 0.0093, -0.0039, -0.0004, -0.0112], device='cuda:0'), grad: tensor([ 0.0159, -0.0298, 0.0149, 0.0319, 0.0228, -0.0360, -0.0292, -0.0202, -0.0003, 0.0300], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 115---------------------------------------------------- epoch 115, time 231.17, cls_loss 0.6448 cls_loss_mapping 0.0100 cls_loss_causal 0.5449 re_mapping 0.0160 re_causal 0.0373 /// teacc 98.50 lr 0.00010000 Epoch 117, weight, value: tensor([[-0.0581, -0.0689, -0.0750, ..., -0.0269, 0.0435, -0.0701], [-0.0367, -0.0629, -0.0430, ..., 0.0872, -0.0274, 0.1577], [ 0.0064, -0.0228, -0.0157, ..., -0.0099, -0.0111, -0.0569], ..., [ 0.0105, -0.0714, 0.1177, ..., 0.0169, -0.0546, 0.0354], [-0.0208, 0.0454, -0.0921, ..., -0.0411, 0.0016, -0.0585], [-0.0535, 0.0619, 0.0524, ..., -0.0456, -0.0266, -0.0182]], device='cuda:0'), grad: tensor([[ 3.0752e-06, 1.4174e-04, 2.3282e-04, ..., 2.1820e-03, -1.2569e-05, 8.8978e-04], [ 1.8656e-05, 3.0732e-04, 8.9073e-04, ..., -9.4223e-03, 8.8103e-07, -1.9855e-03], [ 1.3165e-05, -3.5572e-03, -4.3602e-03, ..., -4.2381e-03, -4.6641e-06, -3.6640e-03], ..., [ 1.5646e-05, 1.8024e-03, 1.8778e-03, ..., 5.4703e-03, 1.2461e-06, 3.1891e-03], [ 2.0280e-05, 5.9814e-03, 1.2951e-03, ..., 5.0049e-03, 2.7809e-06, 2.2793e-03], [ 5.3607e-06, -8.4076e-03, 1.3075e-03, ..., 4.4403e-03, 9.0431e-07, 4.1885e-03]], device='cuda:0') Epoch 117, bias, value: tensor([-0.0217, 0.0207, 0.0056, -0.0085, 0.0205, -0.0267, 0.0087, -0.0039, -0.0004, -0.0110], device='cuda:0'), grad: tensor([ 0.0312, -0.0386, -0.0126, 0.0030, -0.0291, 0.0076, -0.0149, 0.0222, 0.0278, 0.0035], device='cuda:0') 100 0.0001 changing lr epoch 116, time 214.27, cls_loss 0.6873 cls_loss_mapping 0.0164 cls_loss_causal 0.5862 re_mapping 0.0151 re_causal 0.0330 /// teacc 98.33 lr 0.00010000 Epoch 118, weight, value: tensor([[-0.0586, -0.0692, -0.0761, ..., -0.0264, 0.0442, -0.0698], [-0.0366, -0.0620, -0.0415, ..., 0.0878, -0.0266, 0.1586], [ 0.0062, -0.0230, -0.0167, ..., -0.0106, -0.0114, -0.0572], ..., [ 0.0109, -0.0720, 0.1180, ..., 0.0165, -0.0549, 0.0363], [-0.0215, 0.0461, -0.0928, ..., -0.0412, 0.0019, -0.0583], [-0.0538, 0.0612, 0.0529, ..., -0.0457, -0.0269, -0.0188]], device='cuda:0'), grad: tensor([[ 2.4402e-04, 6.4774e-03, 2.0962e-03, ..., 4.0779e-03, 4.5929e-03, 9.1171e-04], [ 1.4104e-05, 1.8778e-03, -1.7197e-02, ..., 8.3160e-03, -3.3600e-02, 1.6279e-03], [ 1.0133e-04, 4.1924e-03, 4.8714e-03, ..., 7.1449e-03, 8.1558e-03, 8.8501e-04], ..., [ 1.0014e-05, -1.7532e-02, -1.1339e-03, ..., 8.7128e-03, 1.8244e-03, -1.2531e-03], [ 4.6182e-04, 7.8583e-03, 7.7400e-03, ..., -4.8981e-03, 1.4214e-02, 1.6193e-03], [ 9.2536e-06, -1.7807e-05, -3.5343e-03, ..., -2.8706e-03, 9.6703e-04, -6.2332e-03]], device='cuda:0') Epoch 118, bias, value: tensor([-0.0208, 0.0216, 0.0043, -0.0089, 0.0203, -0.0270, 0.0090, -0.0039, -0.0002, -0.0111], device='cuda:0'), grad: tensor([ 0.0355, 0.0001, 0.0386, -0.0031, -0.0111, -0.0138, -0.0309, -0.0211, 0.0197, -0.0141], device='cuda:0') 100 0.0001 changing lr epoch 117, time 214.23, cls_loss 0.6480 cls_loss_mapping 0.0132 cls_loss_causal 0.5558 re_mapping 0.0153 re_causal 0.0345 /// teacc 98.34 lr 0.00010000 Epoch 119, weight, value: tensor([[-0.0596, -0.0692, -0.0749, ..., -0.0260, 0.0446, -0.0692], [-0.0370, -0.0629, -0.0417, ..., 0.0874, -0.0254, 0.1583], [ 0.0063, -0.0225, -0.0175, ..., -0.0103, -0.0122, -0.0564], ..., [ 0.0119, -0.0704, 0.1188, ..., 0.0178, -0.0559, 0.0366], [-0.0215, 0.0452, -0.0943, ..., -0.0417, 0.0025, -0.0592], [-0.0543, 0.0621, 0.0534, ..., -0.0461, -0.0275, -0.0194]], device='cuda:0'), grad: tensor([[ 1.1660e-05, 5.5122e-04, -2.9011e-03, ..., -2.4891e-03, 1.2350e-03, -1.7881e-03], [ 1.8990e-06, 7.2479e-04, 1.4238e-03, ..., 2.5833e-02, 4.6182e-04, 2.5177e-02], [ 1.1332e-05, 1.9989e-03, 1.3039e-02, ..., 1.4763e-02, 1.5488e-03, 3.7060e-03], ..., [ 2.8110e-04, 1.4553e-03, -6.4201e-03, ..., -4.5357e-03, 1.6260e-04, -8.6670e-03], [ 7.4059e-06, -2.3060e-03, 1.7977e-03, ..., 2.0170e-04, 1.4019e-03, 8.9645e-04], [ 2.0180e-03, -5.4092e-03, -7.2002e-04, ..., 1.4923e-02, 5.6553e-04, 1.3741e-02]], device='cuda:0') Epoch 119, bias, value: tensor([-0.0206, 0.0214, 0.0046, -0.0091, 0.0204, -0.0280, 0.0099, -0.0029, -0.0010, -0.0112], device='cuda:0'), grad: tensor([-0.0062, 0.0181, 0.0445, -0.0038, 0.0209, -0.0723, -0.0256, -0.0215, 0.0059, 0.0402], device='cuda:0') 100 0.0001 changing lr epoch 118, time 214.35, cls_loss 0.6700 cls_loss_mapping 0.0173 cls_loss_causal 0.5746 re_mapping 0.0157 re_causal 0.0359 /// teacc 98.46 lr 0.00010000 Epoch 120, weight, value: tensor([[-0.0591, -0.0709, -0.0751, ..., -0.0257, 0.0450, -0.0695], [-0.0379, -0.0639, -0.0423, ..., 0.0867, -0.0245, 0.1588], [ 0.0069, -0.0221, -0.0180, ..., -0.0107, -0.0126, -0.0581], ..., [ 0.0090, -0.0710, 0.1183, ..., 0.0186, -0.0564, 0.0370], [-0.0222, 0.0452, -0.0950, ..., -0.0413, 0.0020, -0.0606], [-0.0541, 0.0622, 0.0540, ..., -0.0467, -0.0280, -0.0187]], device='cuda:0'), grad: tensor([[ 0.0004, 0.0027, 0.0025, ..., 0.0060, 0.0004, 0.0065], [-0.0025, -0.0004, -0.0016, ..., -0.0122, 0.0003, -0.0113], [ 0.0001, 0.0011, 0.0015, ..., 0.0029, 0.0003, 0.0029], ..., [ 0.0004, 0.0026, 0.0041, ..., 0.0090, 0.0005, 0.0076], [ 0.0002, 0.0023, 0.0027, ..., 0.0065, 0.0008, 0.0061], [ 0.0004, 0.0016, 0.0003, ..., 0.0022, 0.0006, 0.0025]], device='cuda:0') Epoch 120, bias, value: tensor([-0.0198, 0.0212, 0.0034, -0.0086, 0.0203, -0.0275, 0.0092, -0.0025, -0.0009, -0.0113], device='cuda:0'), grad: tensor([ 0.0265, -0.0368, 0.0135, -0.0378, 0.0070, -0.0322, -0.0132, 0.0374, 0.0278, 0.0077], device='cuda:0') 100 0.0001 changing lr epoch 119, time 214.81, cls_loss 0.6545 cls_loss_mapping 0.0149 cls_loss_causal 0.5676 re_mapping 0.0161 re_causal 0.0361 /// teacc 98.46 lr 0.00010000 Epoch 121, weight, value: tensor([[-0.0551, -0.0712, -0.0750, ..., -0.0250, 0.0452, -0.0697], [-0.0396, -0.0647, -0.0437, ..., 0.0865, -0.0272, 0.1591], [ 0.0095, -0.0219, -0.0156, ..., -0.0100, -0.0106, -0.0566], ..., [ 0.0097, -0.0712, 0.1181, ..., 0.0175, -0.0570, 0.0354], [-0.0236, 0.0454, -0.0949, ..., -0.0411, 0.0012, -0.0614], [-0.0529, 0.0624, 0.0531, ..., -0.0468, -0.0277, -0.0178]], device='cuda:0'), grad: tensor([[ 1.5683e-06, 1.0693e-04, 1.4555e-04, ..., 2.1172e-03, 8.9467e-05, 5.5045e-05], [ 1.4715e-07, 1.7452e-04, 5.9175e-04, ..., 4.4174e-03, 2.0397e-04, 2.6417e-04], [ 2.3037e-05, 9.3412e-04, 3.7460e-03, ..., 1.2863e-02, 4.3130e-04, 3.3398e-03], ..., [ 1.9744e-07, -8.3780e-04, -5.4741e-03, ..., -2.1225e-02, -1.0204e-03, -4.2114e-03], [ 3.0939e-06, 1.1520e-03, 1.0939e-03, ..., 3.8700e-03, 2.2423e-04, 5.2071e-04], [ 1.2852e-06, -5.1514e-02, 1.0004e-03, ..., -3.3069e-04, -2.6001e-02, 2.3174e-03]], device='cuda:0') Epoch 121, bias, value: tensor([-0.0194, 0.0214, 0.0047, -0.0089, 0.0205, -0.0285, 0.0091, -0.0035, -0.0003, -0.0118], device='cuda:0'), grad: tensor([ 0.0092, 0.0230, 0.0346, 0.0089, -0.0326, 0.0040, 0.0097, -0.0600, -0.0087, 0.0118], device='cuda:0') 100 0.0001 changing lr epoch 120, time 214.79, cls_loss 0.6545 cls_loss_mapping 0.0160 cls_loss_causal 0.5590 re_mapping 0.0154 re_causal 0.0339 /// teacc 98.46 lr 0.00010000 Epoch 122, weight, value: tensor([[-0.0555, -0.0720, -0.0750, ..., -0.0258, 0.0436, -0.0714], [-0.0396, -0.0655, -0.0431, ..., 0.0871, -0.0275, 0.1608], [ 0.0090, -0.0239, -0.0173, ..., -0.0111, -0.0108, -0.0568], ..., [ 0.0100, -0.0713, 0.1190, ..., 0.0184, -0.0575, 0.0356], [-0.0236, 0.0459, -0.0938, ..., -0.0412, 0.0024, -0.0621], [-0.0537, 0.0618, 0.0519, ..., -0.0473, -0.0280, -0.0167]], device='cuda:0'), grad: tensor([[-2.1279e-04, -1.3475e-03, 4.4513e-04, ..., -4.7035e-03, 1.2851e-04, -8.3399e-04], [ 1.1809e-05, 9.2164e-06, 4.1604e-04, ..., 5.5084e-03, 3.0017e-04, 2.8419e-03], [ 1.8110e-03, -1.5778e-02, 3.9482e-03, ..., -4.3716e-03, 1.2136e-04, -1.6174e-03], ..., [ 1.4029e-03, -6.7902e-03, -8.9073e-04, ..., -5.5981e-04, 1.7190e-04, 1.4658e-03], [ 8.6963e-05, 5.8861e-03, 8.1873e-04, ..., 5.7297e-03, 8.3780e-04, 4.3793e-03], [ 3.3051e-05, 9.1324e-03, 7.5912e-04, ..., 3.9330e-03, 2.5582e-04, -1.4067e-03]], device='cuda:0') Epoch 122, bias, value: tensor([-0.0200, 0.0217, 0.0042, -0.0086, 0.0213, -0.0285, 0.0089, -0.0033, -0.0003, -0.0120], device='cuda:0'), grad: tensor([ 0.0044, 0.0122, -0.0046, -0.0050, 0.0244, -0.0371, -0.0015, -0.0112, 0.0347, -0.0163], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 121---------------------------------------------------- epoch 121, time 231.02, cls_loss 0.6448 cls_loss_mapping 0.0115 cls_loss_causal 0.5644 re_mapping 0.0153 re_causal 0.0348 /// teacc 98.54 lr 0.00010000 Epoch 123, weight, value: tensor([[-0.0558, -0.0721, -0.0766, ..., -0.0265, 0.0430, -0.0718], [-0.0391, -0.0659, -0.0429, ..., 0.0871, -0.0291, 0.1599], [ 0.0100, -0.0230, -0.0158, ..., -0.0103, -0.0113, -0.0553], ..., [ 0.0090, -0.0710, 0.1190, ..., 0.0176, -0.0584, 0.0360], [-0.0234, 0.0460, -0.0949, ..., -0.0409, 0.0034, -0.0630], [-0.0541, 0.0612, 0.0514, ..., -0.0472, -0.0278, -0.0178]], device='cuda:0'), grad: tensor([[ 1.7476e-04, -6.4697e-03, -1.0162e-02, ..., -3.5278e-02, -1.5268e-03, 3.8218e-04], [-3.8266e-04, -4.1389e-03, 8.7023e-05, ..., -7.2784e-03, 1.1454e-03, -7.1869e-03], [ 2.3115e-04, 3.8910e-03, 5.9052e-03, ..., 9.9182e-03, 1.3647e-03, 4.4990e-04], ..., [ 1.3542e-04, 2.2948e-04, 3.9749e-03, ..., 8.2703e-03, 7.3147e-04, 1.0033e-02], [ 5.9414e-04, 5.2261e-03, 1.0767e-03, ..., 8.5373e-03, -4.4327e-03, 7.6370e-03], [ 1.3053e-04, 5.7411e-04, -4.6463e-03, ..., -1.3888e-04, 9.3365e-04, -1.1665e-02]], device='cuda:0') Epoch 123, bias, value: tensor([-0.0207, 0.0213, 0.0046, -0.0082, 0.0204, -0.0288, 0.0098, -0.0032, 0.0004, -0.0123], device='cuda:0'), grad: tensor([-0.0918, -0.0172, -0.0010, 0.0340, -0.0060, -0.0007, 0.0168, 0.0410, 0.0317, -0.0068], device='cuda:0') 100 0.0001 changing lr epoch 122, time 214.58, cls_loss 0.6333 cls_loss_mapping 0.0143 cls_loss_causal 0.5399 re_mapping 0.0149 re_causal 0.0333 /// teacc 98.33 lr 0.00010000 Epoch 124, weight, value: tensor([[-0.0559, -0.0714, -0.0743, ..., -0.0252, 0.0426, -0.0711], [-0.0389, -0.0659, -0.0439, ..., 0.0870, -0.0284, 0.1606], [ 0.0101, -0.0231, -0.0182, ..., -0.0115, -0.0116, -0.0554], ..., [ 0.0087, -0.0713, 0.1188, ..., 0.0181, -0.0588, 0.0362], [-0.0228, 0.0459, -0.0959, ..., -0.0421, 0.0046, -0.0636], [-0.0543, 0.0618, 0.0512, ..., -0.0477, -0.0286, -0.0186]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 3.7336e-04, -5.1409e-05, ..., -2.3697e-02, -4.7150e-03, -1.9531e-03], [ 0.0000e+00, 3.8567e-03, 3.0918e-03, ..., 2.3026e-02, 2.0161e-03, 1.4282e-02], [ 0.0000e+00, 1.3542e-03, -3.9368e-03, ..., -1.7653e-03, -4.0359e-03, -2.9182e-03], ..., [ 0.0000e+00, 6.5327e-04, 4.0512e-03, ..., 1.1887e-02, 7.4768e-04, 7.4463e-03], [ 0.0000e+00, -4.1008e-03, 4.5919e-04, ..., -5.0774e-03, 6.2180e-04, -1.1787e-02], [ 0.0000e+00, 6.4659e-04, 8.8644e-04, ..., 5.7106e-03, 6.7616e-04, 3.4466e-03]], device='cuda:0') Epoch 124, bias, value: tensor([-0.0194, 0.0219, 0.0035, -0.0087, 0.0210, -0.0289, 0.0098, -0.0036, 0.0005, -0.0125], device='cuda:0'), grad: tensor([-0.0768, 0.0848, 0.0168, 0.0234, -0.0169, -0.0417, -0.0034, 0.0410, -0.0537, 0.0264], device='cuda:0') 100 0.0001 changing lr epoch 123, time 214.49, cls_loss 0.6319 cls_loss_mapping 0.0106 cls_loss_causal 0.5370 re_mapping 0.0156 re_causal 0.0350 /// teacc 98.50 lr 0.00010000 Epoch 125, weight, value: tensor([[-0.0569, -0.0722, -0.0734, ..., -0.0254, 0.0438, -0.0721], [-0.0399, -0.0655, -0.0434, ..., 0.0873, -0.0283, 0.1601], [ 0.0108, -0.0238, -0.0188, ..., -0.0110, -0.0113, -0.0568], ..., [ 0.0088, -0.0708, 0.1196, ..., 0.0174, -0.0591, 0.0374], [-0.0220, 0.0461, -0.0966, ..., -0.0423, 0.0047, -0.0627], [-0.0543, 0.0626, 0.0515, ..., -0.0475, -0.0289, -0.0187]], device='cuda:0'), grad: tensor([[ 1.5235e-04, -5.4121e-05, 1.9217e-04, ..., 1.0614e-03, 1.5030e-02, 5.0449e-04], [ 2.3437e-04, 3.0398e-05, 1.8752e-04, ..., 4.4899e-03, 9.4128e-04, 4.4227e-04], [ 3.6049e-04, -4.4250e-03, 4.5824e-04, ..., -2.1194e-02, -1.4969e-02, 8.9312e-04], ..., [-1.3819e-03, 1.5402e-03, -3.1853e-03, ..., -3.9220e-05, 4.6134e-04, -7.6599e-03], [ 8.0538e-04, 4.7636e-04, 1.5478e-03, ..., 5.9509e-03, 8.5497e-04, 1.3971e-03], [ 1.4114e-03, 6.2287e-05, 1.8559e-03, ..., 4.2381e-03, 3.2282e-04, 3.6430e-03]], device='cuda:0') Epoch 125, bias, value: tensor([-0.0195, 0.0217, 0.0034, -0.0081, 0.0210, -0.0284, 0.0094, -0.0040, 0.0003, -0.0125], device='cuda:0'), grad: tensor([ 0.0102, 0.0215, -0.0624, 0.0425, -0.0003, -0.0420, 0.0200, -0.0530, 0.0311, 0.0327], device='cuda:0') 100 0.0001 changing lr epoch 124, time 214.50, cls_loss 0.6436 cls_loss_mapping 0.0100 cls_loss_causal 0.5437 re_mapping 0.0151 re_causal 0.0347 /// teacc 98.36 lr 0.00010000 Epoch 126, weight, value: tensor([[-0.0578, -0.0730, -0.0734, ..., -0.0252, 0.0433, -0.0724], [-0.0412, -0.0650, -0.0434, ..., 0.0873, -0.0279, 0.1609], [ 0.0125, -0.0242, -0.0196, ..., -0.0104, -0.0107, -0.0577], ..., [ 0.0100, -0.0717, 0.1196, ..., 0.0173, -0.0606, 0.0375], [-0.0217, 0.0454, -0.0970, ..., -0.0426, 0.0044, -0.0632], [-0.0543, 0.0635, 0.0524, ..., -0.0472, -0.0296, -0.0170]], device='cuda:0'), grad: tensor([[ 0.0000e+00, -2.4643e-03, 2.9683e-04, ..., -2.9793e-03, -2.6989e-03, -4.5747e-05], [ 0.0000e+00, -7.3051e-03, 1.7726e-04, ..., -9.5654e-04, 5.3674e-05, -2.3997e-04], [ 0.0000e+00, -1.2589e-03, -1.6727e-03, ..., -5.1384e-03, 5.7936e-04, 5.7161e-05], ..., [ 0.0000e+00, -4.4739e-02, -4.0703e-03, ..., -2.6016e-03, 3.2812e-05, -6.0577e-03], [ 0.0000e+00, 2.0733e-03, 2.2650e-04, ..., 2.1915e-03, 5.9938e-04, 1.5986e-04], [ 0.0000e+00, 5.1056e-02, 4.4518e-03, ..., 4.0398e-03, 1.8334e-04, 6.0043e-03]], device='cuda:0') Epoch 126, bias, value: tensor([-1.8590e-02, 2.1252e-02, 4.5445e-03, -7.9737e-03, 2.0034e-02, -2.9461e-02, 9.0704e-03, -3.5808e-03, -4.5916e-05, -1.1839e-02], device='cuda:0'), grad: tensor([-0.0197, 0.0083, -0.0076, -0.0020, 0.0154, 0.0175, 0.0012, -0.0823, 0.0200, 0.0493], device='cuda:0') 100 0.0001 changing lr epoch 125, time 214.54, cls_loss 0.6505 cls_loss_mapping 0.0134 cls_loss_causal 0.5602 re_mapping 0.0150 re_causal 0.0335 /// teacc 98.53 lr 0.00010000 Epoch 127, weight, value: tensor([[-0.0585, -0.0738, -0.0738, ..., -0.0262, 0.0432, -0.0746], [-0.0410, -0.0644, -0.0442, ..., 0.0869, -0.0271, 0.1617], [ 0.0120, -0.0248, -0.0193, ..., -0.0098, -0.0108, -0.0574], ..., [ 0.0124, -0.0702, 0.1196, ..., 0.0185, -0.0611, 0.0375], [-0.0213, 0.0464, -0.0945, ..., -0.0424, 0.0053, -0.0624], [-0.0571, 0.0621, 0.0523, ..., -0.0483, -0.0310, -0.0169]], device='cuda:0'), grad: tensor([[ 8.1025e-08, 3.2163e-04, -1.5007e-02, ..., -1.5015e-02, -5.8289e-03, -5.4131e-03], [ 1.7613e-05, 5.2452e-05, 2.5749e-04, ..., -5.5199e-03, 6.4278e-04, -3.2768e-03], [ 3.3248e-06, 1.7481e-03, 1.1950e-03, ..., 2.7142e-03, 6.0606e-04, 7.1192e-04], ..., [-2.8864e-05, 2.1782e-03, 9.2468e-03, ..., 9.3536e-03, 1.2856e-03, 3.6793e-03], [-1.1921e-06, -2.4338e-03, 4.3654e-04, ..., 2.6455e-03, 1.0395e-03, 7.8535e-04], [ 4.4964e-06, -2.2659e-03, 2.4948e-03, ..., 5.0278e-03, 9.9754e-04, 1.6680e-03]], device='cuda:0') Epoch 127, bias, value: tensor([-0.0204, 0.0221, 0.0046, -0.0092, 0.0196, -0.0294, 0.0103, -0.0024, 0.0008, -0.0128], device='cuda:0'), grad: tensor([-0.0571, -0.0101, 0.0160, 0.0158, -0.0036, 0.0021, 0.0232, 0.0435, -0.0167, -0.0131], device='cuda:0') 100 0.0001 changing lr epoch 126, time 214.78, cls_loss 0.6559 cls_loss_mapping 0.0111 cls_loss_causal 0.5633 re_mapping 0.0148 re_causal 0.0337 /// teacc 98.36 lr 0.00010000 Epoch 128, weight, value: tensor([[-0.0583, -0.0748, -0.0733, ..., -0.0244, 0.0431, -0.0742], [-0.0409, -0.0647, -0.0453, ..., 0.0868, -0.0278, 0.1622], [ 0.0112, -0.0245, -0.0185, ..., -0.0103, -0.0097, -0.0575], ..., [ 0.0130, -0.0711, 0.1189, ..., 0.0183, -0.0639, 0.0362], [-0.0225, 0.0459, -0.0951, ..., -0.0426, 0.0049, -0.0624], [-0.0560, 0.0623, 0.0531, ..., -0.0487, -0.0315, -0.0160]], device='cuda:0'), grad: tensor([[ 1.2137e-05, 2.0027e-03, 3.1710e-04, ..., -3.5248e-03, 3.5419e-03, -3.9554e-04], [ 2.4962e-04, 1.5030e-03, 7.3338e-04, ..., 3.3932e-03, -1.6678e-02, 8.8263e-04], [ 1.1663e-03, 2.4662e-03, 1.7662e-03, ..., -1.6012e-03, -9.1982e-04, 2.9640e-03], ..., [-2.2717e-03, -6.7406e-03, -5.6229e-03, ..., -1.8173e-02, -8.3466e-03, -7.5569e-03], [ 3.0994e-04, -1.0391e-02, 7.7343e-04, ..., 3.9215e-03, 1.2085e-02, 8.8072e-04], [ 2.3890e-04, -3.7659e-02, -4.1199e-03, ..., 3.8414e-03, -5.2986e-03, 1.2693e-03]], device='cuda:0') Epoch 128, bias, value: tensor([-1.8855e-02, 2.1831e-02, 5.1873e-03, -8.4500e-03, 1.9203e-02, -2.9468e-02, 9.8211e-03, -3.1128e-03, -2.0713e-05, -1.2689e-02], device='cuda:0'), grad: tensor([-0.0109, -0.0083, -0.0086, 0.0563, 0.0306, 0.0204, -0.0054, -0.0776, 0.0239, -0.0204], device='cuda:0') 100 0.0001 changing lr epoch 127, time 214.52, cls_loss 0.6372 cls_loss_mapping 0.0103 cls_loss_causal 0.5333 re_mapping 0.0146 re_causal 0.0333 /// teacc 98.35 lr 0.00010000 Epoch 129, weight, value: tensor([[-0.0577, -0.0747, -0.0735, ..., -0.0245, 0.0434, -0.0746], [-0.0427, -0.0671, -0.0451, ..., 0.0872, -0.0269, 0.1622], [ 0.0113, -0.0238, -0.0190, ..., -0.0106, -0.0102, -0.0571], ..., [ 0.0136, -0.0711, 0.1194, ..., 0.0178, -0.0640, 0.0364], [-0.0220, 0.0455, -0.0961, ..., -0.0422, 0.0039, -0.0621], [-0.0570, 0.0636, 0.0528, ..., -0.0494, -0.0316, -0.0165]], device='cuda:0'), grad: tensor([[ 1.9324e-04, -2.4681e-03, 6.6900e-04, ..., 9.5797e-04, 2.7485e-03, 4.2686e-03], [ 2.7156e-04, 2.4486e-04, -2.4891e-04, ..., -7.7095e-03, 4.7569e-03, -7.1259e-03], [ 1.6093e-04, 2.9488e-03, 1.4138e-04, ..., -5.5343e-05, 3.8948e-03, -1.8158e-03], ..., [ 6.7353e-05, -1.6899e-03, 1.5278e-03, ..., 8.6260e-04, 2.6798e-03, -5.9748e-04], [ 2.0933e-04, -2.5539e-03, 5.4026e-04, ..., 9.8896e-04, 4.6501e-03, 5.0354e-03], [ 1.7905e-04, 7.5769e-04, -4.6349e-03, ..., 3.4542e-03, 2.5597e-03, 1.8272e-03]], device='cuda:0') Epoch 129, bias, value: tensor([-0.0187, 0.0220, 0.0049, -0.0084, 0.0203, -0.0287, 0.0091, -0.0038, 0.0003, -0.0135], device='cuda:0'), grad: tensor([-0.0124, -0.0218, 0.0058, 0.0223, -0.0561, 0.0056, 0.0078, 0.0065, 0.0219, 0.0204], device='cuda:0') 100 0.0001 changing lr epoch 128, time 214.81, cls_loss 0.6622 cls_loss_mapping 0.0132 cls_loss_causal 0.5774 re_mapping 0.0141 re_causal 0.0318 /// teacc 98.37 lr 0.00010000 Epoch 130, weight, value: tensor([[-0.0575, -0.0752, -0.0738, ..., -0.0254, 0.0436, -0.0758], [-0.0454, -0.0670, -0.0448, ..., 0.0877, -0.0259, 0.1636], [ 0.0115, -0.0248, -0.0201, ..., -0.0106, -0.0114, -0.0569], ..., [ 0.0142, -0.0722, 0.1202, ..., 0.0178, -0.0638, 0.0362], [-0.0229, 0.0464, -0.0967, ..., -0.0414, 0.0032, -0.0624], [-0.0567, 0.0637, 0.0530, ..., -0.0485, -0.0311, -0.0162]], device='cuda:0'), grad: tensor([[-8.1301e-04, -7.4911e-04, -2.3899e-03, ..., -7.0953e-03, -1.6689e-03, -2.9755e-03], [ 8.2684e-04, 1.9085e-04, 6.0196e-03, ..., 1.0612e-02, 5.8289e-03, -1.0071e-02], [ 4.5371e-04, -2.5082e-03, -3.7308e-03, ..., -7.1945e-03, 2.6722e-03, -7.5455e-03], ..., [ 1.3494e-04, 5.8746e-03, 1.1986e-02, ..., 4.0550e-03, -6.1274e-05, 1.5762e-02], [ 9.6560e-04, 1.5480e-02, 8.4000e-03, ..., 1.1139e-02, 1.5640e-02, 6.2599e-03], [ 3.5000e-04, 1.2566e-02, -8.5297e-03, ..., 6.8283e-03, 4.8294e-03, 4.8447e-03]], device='cuda:0') Epoch 130, bias, value: tensor([-0.0188, 0.0229, 0.0048, -0.0087, 0.0207, -0.0295, 0.0085, -0.0041, 0.0009, -0.0132], device='cuda:0'), grad: tensor([-0.0190, 0.0321, -0.0117, -0.0955, 0.0134, -0.0087, 0.0030, 0.0190, 0.0475, 0.0199], device='cuda:0') 100 0.0001 changing lr epoch 129, time 214.45, cls_loss 0.6417 cls_loss_mapping 0.0149 cls_loss_causal 0.5528 re_mapping 0.0149 re_causal 0.0329 /// teacc 98.40 lr 0.00010000 Epoch 131, weight, value: tensor([[-0.0575, -0.0759, -0.0730, ..., -0.0261, 0.0437, -0.0757], [-0.0441, -0.0687, -0.0459, ..., 0.0887, -0.0277, 0.1638], [ 0.0104, -0.0232, -0.0186, ..., -0.0107, -0.0107, -0.0548], ..., [ 0.0136, -0.0725, 0.1194, ..., 0.0174, -0.0632, 0.0362], [-0.0215, 0.0472, -0.0982, ..., -0.0418, 0.0028, -0.0641], [-0.0573, 0.0636, 0.0536, ..., -0.0472, -0.0296, -0.0156]], device='cuda:0'), grad: tensor([[ 3.9196e-04, 2.9964e-03, 6.2609e-04, ..., 9.8705e-04, 8.7509e-03, 2.0161e-03], [-2.3918e-03, -3.7422e-03, 2.3544e-05, ..., -1.2283e-02, -2.0294e-03, -1.2751e-03], [ 1.9159e-03, 2.1172e-03, 1.7471e-03, ..., 2.2564e-03, -1.9894e-03, 3.5725e-03], ..., [-2.5997e-03, 8.5020e-04, -3.7422e-03, ..., 3.2234e-03, 1.2165e-04, -3.2215e-03], [ 1.4162e-03, 3.1490e-03, 1.7939e-03, ..., 8.4000e-03, 1.0710e-03, 1.3571e-03], [ 2.5368e-03, 3.8357e-03, 4.4594e-03, ..., 9.7656e-03, 4.0650e-04, 5.9509e-03]], device='cuda:0') Epoch 131, bias, value: tensor([-0.0194, 0.0234, 0.0050, -0.0082, 0.0194, -0.0300, 0.0090, -0.0043, 0.0010, -0.0125], device='cuda:0'), grad: tensor([ 0.0003, -0.0346, -0.0005, 0.0262, -0.0157, 0.0271, -0.0869, 0.0098, 0.0333, 0.0409], device='cuda:0') 100 0.0001 changing lr epoch 130, time 214.42, cls_loss 0.6261 cls_loss_mapping 0.0111 cls_loss_causal 0.5351 re_mapping 0.0151 re_causal 0.0346 /// teacc 98.30 lr 0.00010000 Epoch 132, weight, value: tensor([[-0.0587, -0.0767, -0.0733, ..., -0.0265, 0.0436, -0.0770], [-0.0433, -0.0679, -0.0462, ..., 0.0889, -0.0280, 0.1639], [ 0.0103, -0.0218, -0.0188, ..., -0.0106, -0.0110, -0.0551], ..., [ 0.0135, -0.0722, 0.1193, ..., 0.0174, -0.0626, 0.0367], [-0.0225, 0.0476, -0.0991, ..., -0.0438, 0.0036, -0.0648], [-0.0553, 0.0637, 0.0535, ..., -0.0471, -0.0284, -0.0150]], device='cuda:0'), grad: tensor([[ 7.7933e-06, 8.1825e-04, 2.7204e-04, ..., 8.5526e-03, 2.1875e-04, 2.7790e-03], [ 1.8835e-04, 8.8573e-05, 7.7486e-04, ..., -9.7752e-04, -6.5994e-04, -1.0881e-03], [ 2.7180e-04, 3.0303e-04, 1.3247e-03, ..., 1.5564e-02, 6.5565e-04, 3.9635e-03], ..., [ 3.2425e-04, 2.9302e-04, -5.5027e-04, ..., -6.2027e-03, 5.6362e-04, -3.6469e-03], [-6.0111e-05, 7.0763e-04, 4.5347e-04, ..., -1.2505e-02, -1.8520e-03, -2.8229e-03], [ 2.6122e-05, -5.7518e-05, 8.5688e-04, ..., -5.2147e-03, 1.1259e-04, 7.6246e-04]], device='cuda:0') Epoch 132, bias, value: tensor([-0.0191, 0.0240, 0.0045, -0.0087, 0.0195, -0.0307, 0.0104, -0.0044, -0.0003, -0.0118], device='cuda:0'), grad: tensor([ 0.0205, -0.0033, 0.0345, -0.0237, 0.0091, 0.0029, 0.0168, -0.0257, -0.0155, -0.0156], device='cuda:0') 100 0.0001 changing lr epoch 131, time 214.67, cls_loss 0.6577 cls_loss_mapping 0.0176 cls_loss_causal 0.5748 re_mapping 0.0144 re_causal 0.0314 /// teacc 98.38 lr 0.00010000 Epoch 133, weight, value: tensor([[-0.0591, -0.0774, -0.0733, ..., -0.0264, 0.0445, -0.0776], [-0.0449, -0.0685, -0.0457, ..., 0.0896, -0.0268, 0.1647], [ 0.0101, -0.0223, -0.0203, ..., -0.0119, -0.0114, -0.0574], ..., [ 0.0151, -0.0720, 0.1198, ..., 0.0175, -0.0625, 0.0363], [-0.0222, 0.0479, -0.0996, ..., -0.0431, 0.0037, -0.0639], [-0.0551, 0.0642, 0.0544, ..., -0.0469, -0.0286, -0.0142]], device='cuda:0'), grad: tensor([[ 5.7650e-04, 1.9207e-03, 8.2135e-05, ..., -2.4757e-03, 1.3647e-03, 3.3879e-04], [ 8.1539e-04, 3.0422e-04, 3.6329e-05, ..., 1.9882e-02, 1.9479e-04, 1.2722e-03], [ 6.7558e-03, 1.2798e-03, 1.9336e-04, ..., -9.3231e-03, 4.3416e-04, 8.8978e-04], ..., [ 1.0567e-03, 4.3392e-04, 9.1791e-05, ..., -1.4668e-03, 5.9271e-04, 1.0395e-03], [-1.1772e-02, -9.5062e-03, -1.1271e-04, ..., -1.4420e-02, -6.7787e-03, -1.1906e-05], [ 4.3869e-04, -6.6795e-03, -2.1114e-03, ..., 4.0131e-03, -1.1539e-03, 1.7624e-03]], device='cuda:0') Epoch 133, bias, value: tensor([-0.0189, 0.0239, 0.0041, -0.0091, 0.0194, -0.0297, 0.0096, -0.0047, 0.0004, -0.0116], device='cuda:0'), grad: tensor([-0.0056, 0.0471, 0.0191, 0.0196, -0.0171, 0.0249, -0.0070, -0.0037, -0.0782, 0.0007], device='cuda:0') 100 0.0001 changing lr epoch 132, time 214.41, cls_loss 0.6281 cls_loss_mapping 0.0107 cls_loss_causal 0.5414 re_mapping 0.0148 re_causal 0.0331 /// teacc 98.36 lr 0.00010000 Epoch 134, weight, value: tensor([[-0.0587, -0.0783, -0.0736, ..., -0.0267, 0.0444, -0.0786], [-0.0452, -0.0691, -0.0474, ..., 0.0888, -0.0260, 0.1649], [ 0.0085, -0.0219, -0.0198, ..., -0.0109, -0.0130, -0.0565], ..., [ 0.0155, -0.0731, 0.1208, ..., 0.0177, -0.0626, 0.0363], [-0.0222, 0.0477, -0.0996, ..., -0.0428, 0.0040, -0.0646], [-0.0558, 0.0636, 0.0547, ..., -0.0471, -0.0284, -0.0137]], device='cuda:0'), grad: tensor([[ 3.1734e-04, -3.9902e-03, -8.8453e-04, ..., -4.5395e-03, 4.9067e-04, 7.2861e-04], [ 2.7344e-05, -2.0004e-02, -2.2605e-05, ..., -3.1464e-02, -1.0471e-03, 3.2485e-05], [-4.3640e-03, -1.2032e-02, 1.6203e-03, ..., 7.3204e-03, -1.4351e-02, -8.3923e-04], ..., [-3.7384e-03, 7.4043e-03, -4.5662e-03, ..., 3.8280e-03, 5.5885e-03, -1.5726e-03], [ 1.8418e-04, 1.1833e-02, 1.4315e-03, ..., 1.4130e-02, 6.5880e-03, 8.1110e-04], [ 5.0888e-03, 6.2218e-03, 5.8937e-03, ..., 2.6226e-03, 7.1793e-03, 5.8670e-03]], device='cuda:0') Epoch 134, bias, value: tensor([-0.0194, 0.0238, 0.0042, -0.0090, 0.0193, -0.0301, 0.0102, -0.0049, 0.0008, -0.0117], device='cuda:0'), grad: tensor([-0.0088, -0.0664, 0.0169, 0.0451, -0.0775, 0.0250, -0.0115, 0.0081, 0.0356, 0.0334], device='cuda:0') 100 0.0001 changing lr epoch 133, time 214.52, cls_loss 0.6659 cls_loss_mapping 0.0102 cls_loss_causal 0.5677 re_mapping 0.0141 re_causal 0.0318 /// teacc 98.29 lr 0.00010000 Epoch 135, weight, value: tensor([[-0.0596, -0.0790, -0.0738, ..., -0.0273, 0.0447, -0.0790], [-0.0462, -0.0695, -0.0469, ..., 0.0890, -0.0268, 0.1652], [ 0.0090, -0.0227, -0.0190, ..., -0.0112, -0.0123, -0.0560], ..., [ 0.0160, -0.0738, 0.1214, ..., 0.0173, -0.0646, 0.0365], [-0.0220, 0.0478, -0.0999, ..., -0.0428, 0.0028, -0.0650], [-0.0553, 0.0643, 0.0547, ..., -0.0468, -0.0277, -0.0144]], device='cuda:0'), grad: tensor([[ 0.0002, 0.0003, 0.0001, ..., 0.0024, 0.0004, 0.0009], [-0.0030, -0.0362, 0.0002, ..., -0.0144, -0.0033, -0.0165], [ 0.0002, 0.0009, 0.0004, ..., 0.0020, 0.0003, -0.0092], ..., [ 0.0005, 0.0025, 0.0005, ..., 0.0071, 0.0012, 0.0031], [ 0.0003, -0.0032, -0.0018, ..., -0.0071, -0.0005, 0.0006], [ 0.0008, 0.0300, 0.0039, ..., 0.0136, 0.0044, 0.0183]], device='cuda:0') Epoch 135, bias, value: tensor([-0.0200, 0.0244, 0.0034, -0.0086, 0.0203, -0.0307, 0.0107, -0.0055, 0.0006, -0.0113], device='cuda:0'), grad: tensor([ 0.0040, -0.0779, -0.0180, -0.0176, -0.0074, 0.0182, 0.0170, 0.0224, -0.0059, 0.0652], device='cuda:0') 100 0.0001 changing lr epoch 134, time 214.57, cls_loss 0.6480 cls_loss_mapping 0.0119 cls_loss_causal 0.5529 re_mapping 0.0144 re_causal 0.0313 /// teacc 98.39 lr 0.00010000 Epoch 136, weight, value: tensor([[-0.0599, -0.0811, -0.0745, ..., -0.0275, 0.0440, -0.0788], [-0.0467, -0.0690, -0.0480, ..., 0.0889, -0.0278, 0.1654], [ 0.0086, -0.0213, -0.0192, ..., -0.0106, -0.0126, -0.0554], ..., [ 0.0165, -0.0731, 0.1224, ..., 0.0169, -0.0629, 0.0373], [-0.0235, 0.0481, -0.1006, ..., -0.0436, 0.0033, -0.0647], [-0.0547, 0.0637, 0.0546, ..., -0.0459, -0.0280, -0.0150]], device='cuda:0'), grad: tensor([[ 6.2622e-06, 1.1911e-03, 2.3198e-04, ..., 5.0774e-03, 1.0502e-04, 3.6430e-04], [-6.9618e-05, -2.7542e-03, 2.9612e-04, ..., 3.0708e-03, 6.6459e-05, 3.2082e-03], [ 3.1590e-05, 3.4542e-03, 8.0013e-04, ..., 4.0016e-03, 3.2473e-04, 8.4639e-04], ..., [ 4.8339e-05, -3.3073e-03, -1.1339e-03, ..., -8.0872e-04, 7.3373e-05, -2.5558e-03], [ 2.0576e-04, -2.7409e-03, -1.0292e-02, ..., 7.0038e-03, 1.3876e-04, 4.5657e-04], [ 1.2815e-04, 6.3591e-03, 1.1391e-02, ..., 3.9825e-03, 1.3709e-04, 1.0529e-03]], device='cuda:0') Epoch 136, bias, value: tensor([-0.0200, 0.0242, 0.0039, -0.0086, 0.0197, -0.0302, 0.0102, -0.0055, 0.0002, -0.0107], device='cuda:0'), grad: tensor([ 0.0208, 0.0370, 0.0205, -0.0831, 0.0219, -0.0465, 0.0006, -0.0213, -0.0015, 0.0517], device='cuda:0') 100 0.0001 changing lr epoch 135, time 214.34, cls_loss 0.6488 cls_loss_mapping 0.0135 cls_loss_causal 0.5572 re_mapping 0.0149 re_causal 0.0326 /// teacc 98.46 lr 0.00010000 Epoch 137, weight, value: tensor([[-0.0606, -0.0804, -0.0753, ..., -0.0279, 0.0440, -0.0783], [-0.0491, -0.0694, -0.0492, ..., 0.0896, -0.0281, 0.1660], [ 0.0080, -0.0205, -0.0200, ..., -0.0100, -0.0129, -0.0550], ..., [ 0.0188, -0.0737, 0.1238, ..., 0.0185, -0.0629, 0.0363], [-0.0230, 0.0481, -0.0993, ..., -0.0446, 0.0032, -0.0652], [-0.0554, 0.0643, 0.0535, ..., -0.0458, -0.0279, -0.0134]], device='cuda:0'), grad: tensor([[ 6.9141e-05, 1.7190e-04, -4.9829e-05, ..., -6.7368e-03, 1.7598e-05, -5.2166e-04], [ 6.2704e-05, 2.5730e-03, 2.6588e-03, ..., 2.4204e-03, 6.4433e-05, 1.5574e-03], [ 6.0368e-04, 8.9598e-04, 1.0920e-03, ..., 2.5177e-03, -1.3602e-04, 7.6771e-04], ..., [ 1.4935e-03, -2.9602e-03, -3.3512e-03, ..., -7.2594e-03, 4.4751e-04, -1.8396e-03], [ 9.0790e-04, 3.3455e-03, 2.4319e-03, ..., 9.6512e-03, 5.1826e-05, 1.4610e-03], [ 2.7180e-04, -4.1313e-03, 2.6155e-04, ..., -2.8443e-04, 1.5461e-04, -1.0548e-03]], device='cuda:0') Epoch 137, bias, value: tensor([-2.0258e-02, 2.4275e-02, 3.7209e-03, -7.8909e-03, 1.9090e-02, -3.0254e-02, 9.7566e-03, -4.5812e-03, -9.1325e-05, -1.0589e-02], device='cuda:0'), grad: tensor([-0.0208, -0.0051, 0.0082, -0.0413, 0.0138, 0.0172, 0.0098, -0.0008, 0.0258, -0.0067], device='cuda:0') 100 0.0001 changing lr epoch 136, time 214.63, cls_loss 0.6265 cls_loss_mapping 0.0141 cls_loss_causal 0.5398 re_mapping 0.0150 re_causal 0.0331 /// teacc 98.28 lr 0.00010000 Epoch 138, weight, value: tensor([[-0.0585, -0.0816, -0.0751, ..., -0.0273, 0.0439, -0.0782], [-0.0495, -0.0696, -0.0500, ..., 0.0905, -0.0282, 0.1665], [ 0.0079, -0.0210, -0.0215, ..., -0.0093, -0.0135, -0.0559], ..., [ 0.0197, -0.0757, 0.1244, ..., 0.0179, -0.0627, 0.0367], [-0.0231, 0.0480, -0.1004, ..., -0.0456, 0.0025, -0.0648], [-0.0560, 0.0647, 0.0535, ..., -0.0460, -0.0280, -0.0133]], device='cuda:0'), grad: tensor([[ 1.8859e-04, -7.5798e-03, 8.4352e-04, ..., -1.1322e-02, 4.6277e-04, 2.5797e-04], [-1.4931e-02, -1.8053e-03, -2.1637e-02, ..., -1.8311e-02, 7.4863e-05, -1.6586e-02], [ 1.3371e-03, 6.2847e-04, 2.6207e-03, ..., -9.3613e-03, 4.0936e-04, 1.1806e-03], ..., [ 6.1607e-03, 1.1950e-03, 8.7051e-03, ..., 7.6904e-03, 5.9634e-05, 7.7744e-03], [ 4.9400e-04, -4.6635e-04, -2.0027e-03, ..., -3.0651e-03, -2.1038e-03, -6.6376e-04], [ 6.1989e-04, 2.8801e-03, 2.4676e-04, ..., 9.0408e-03, 3.1495e-04, 1.5764e-03]], device='cuda:0') Epoch 138, bias, value: tensor([-0.0195, 0.0248, 0.0040, -0.0079, 0.0194, -0.0301, 0.0094, -0.0052, -0.0014, -0.0101], device='cuda:0'), grad: tensor([-0.0219, -0.0665, -0.0270, 0.0667, -0.0090, -0.0097, 0.0172, 0.0374, -0.0127, 0.0256], device='cuda:0') 100 0.0001 changing lr epoch 137, time 215.02, cls_loss 0.6287 cls_loss_mapping 0.0105 cls_loss_causal 0.5338 re_mapping 0.0144 re_causal 0.0314 /// teacc 98.32 lr 0.00010000 Epoch 139, weight, value: tensor([[-0.0592, -0.0824, -0.0758, ..., -0.0285, 0.0457, -0.0795], [-0.0494, -0.0701, -0.0503, ..., 0.0904, -0.0282, 0.1663], [ 0.0088, -0.0214, -0.0223, ..., -0.0092, -0.0134, -0.0560], ..., [ 0.0188, -0.0745, 0.1242, ..., 0.0185, -0.0637, 0.0378], [-0.0234, 0.0477, -0.0999, ..., -0.0452, 0.0025, -0.0641], [-0.0552, 0.0647, 0.0529, ..., -0.0470, -0.0273, -0.0140]], device='cuda:0'), grad: tensor([[ 3.0661e-04, 3.2520e-04, 2.0742e-04, ..., -2.6608e-03, -2.9945e-03, 1.2712e-03], [ 2.7728e-04, -1.2074e-03, 7.5293e-04, ..., -1.5182e-02, -1.2141e-04, -3.7251e-03], [ 2.1152e-03, 6.0844e-04, 1.1902e-03, ..., 1.1986e-02, 1.1911e-03, 2.8954e-03], ..., [ 9.9754e-04, 3.4142e-04, -2.8763e-03, ..., -4.0436e-03, 6.5756e-04, 2.3117e-03], [ 1.0462e-03, 1.0595e-03, 4.0501e-05, ..., 4.6577e-03, 1.5163e-03, 1.0246e-04], [ 8.6784e-04, -1.7099e-03, 6.4039e-04, ..., -2.0676e-03, 8.9455e-04, -2.8801e-04]], device='cuda:0') Epoch 139, bias, value: tensor([-0.0206, 0.0247, 0.0040, -0.0088, 0.0197, -0.0298, 0.0100, -0.0051, -0.0004, -0.0107], device='cuda:0'), grad: tensor([-0.0139, -0.0360, 0.0358, 0.0254, -0.0299, 0.0327, 0.0251, -0.0224, 0.0171, -0.0341], device='cuda:0') 100 0.0001 changing lr epoch 138, time 214.63, cls_loss 0.6173 cls_loss_mapping 0.0103 cls_loss_causal 0.5352 re_mapping 0.0143 re_causal 0.0321 /// teacc 98.24 lr 0.00010000 Epoch 140, weight, value: tensor([[-0.0591, -0.0825, -0.0746, ..., -0.0274, 0.0455, -0.0801], [-0.0490, -0.0706, -0.0483, ..., 0.0905, -0.0268, 0.1668], [ 0.0104, -0.0210, -0.0228, ..., -0.0098, -0.0137, -0.0552], ..., [ 0.0178, -0.0756, 0.1252, ..., 0.0178, -0.0635, 0.0372], [-0.0236, 0.0479, -0.1019, ..., -0.0451, 0.0029, -0.0648], [-0.0553, 0.0646, 0.0524, ..., -0.0470, -0.0278, -0.0140]], device='cuda:0'), grad: tensor([[ 6.5923e-05, 4.2486e-04, 7.5722e-04, ..., -2.8458e-03, 5.5838e-04, 7.7391e-04], [ 1.9193e-04, 4.5133e-04, 3.3970e-03, ..., 7.4654e-03, 4.8423e-04, 5.5275e-03], [ 3.0637e-04, 3.4313e-03, -5.1575e-03, ..., 7.2336e-04, 3.0289e-03, -1.2009e-02], ..., [ 1.9181e-04, 7.3004e-04, 2.1095e-03, ..., 3.4046e-03, -6.1760e-03, 4.4250e-03], [-1.4668e-03, -8.0643e-03, -1.1597e-02, ..., -1.6144e-02, -5.9128e-03, -5.6534e-03], [ 3.2544e-04, 7.8869e-04, 2.1343e-03, ..., 8.6670e-03, 5.8556e-03, 2.8629e-03]], device='cuda:0') Epoch 140, bias, value: tensor([-2.0416e-02, 2.4332e-02, 4.1285e-03, -8.3246e-03, 1.9837e-02, -3.0711e-02, 1.0390e-02, -5.5880e-03, 2.9677e-05, -1.0502e-02], device='cuda:0'), grad: tensor([-0.0166, 0.0269, 0.0138, 0.0399, -0.0131, -0.0105, -0.0101, 0.0121, -0.0728, 0.0304], device='cuda:0') 100 0.0001 changing lr epoch 139, time 214.61, cls_loss 0.6596 cls_loss_mapping 0.0104 cls_loss_causal 0.5693 re_mapping 0.0138 re_causal 0.0321 /// teacc 98.53 lr 0.00010000 Epoch 141, weight, value: tensor([[-0.0594, -0.0834, -0.0729, ..., -0.0269, 0.0453, -0.0785], [-0.0498, -0.0694, -0.0486, ..., 0.0911, -0.0273, 0.1676], [ 0.0099, -0.0208, -0.0234, ..., -0.0102, -0.0135, -0.0549], ..., [ 0.0182, -0.0756, 0.1256, ..., 0.0180, -0.0636, 0.0370], [-0.0237, 0.0465, -0.1025, ..., -0.0441, 0.0030, -0.0655], [-0.0554, 0.0651, 0.0519, ..., -0.0468, -0.0264, -0.0144]], device='cuda:0'), grad: tensor([[ 1.0710e-07, 4.9686e-04, 8.5545e-04, ..., 7.8964e-03, -8.2445e-04, 2.2507e-03], [ 6.6077e-07, 9.5177e-04, 9.3317e-04, ..., 3.2120e-03, 2.3544e-04, -7.8821e-04], [ 5.6103e-06, 1.1005e-03, 1.6193e-03, ..., 8.7662e-03, 7.5531e-04, 1.6327e-03], ..., [ 5.4985e-06, 1.7118e-03, 2.3403e-03, ..., 9.3002e-03, 1.3149e-04, 1.6508e-03], [-5.9605e-05, -6.9389e-03, -5.8250e-03, ..., -3.2898e-02, -4.9133e-03, -9.5444e-03], [ 4.0889e-05, 5.1384e-03, 2.3174e-03, ..., 4.9800e-05, 1.3781e-03, 3.2883e-03]], device='cuda:0') Epoch 141, bias, value: tensor([-0.0204, 0.0247, 0.0043, -0.0088, 0.0195, -0.0316, 0.0106, -0.0054, 0.0004, -0.0102], device='cuda:0'), grad: tensor([ 0.0182, 0.0093, 0.0216, 0.0196, 0.0052, 0.0121, -0.0216, 0.0228, -0.0911, 0.0039], device='cuda:0') 100 0.0001 changing lr epoch 140, time 214.80, cls_loss 0.6338 cls_loss_mapping 0.0117 cls_loss_causal 0.5492 re_mapping 0.0139 re_causal 0.0308 /// teacc 98.39 lr 0.00010000 Epoch 142, weight, value: tensor([[-0.0595, -0.0837, -0.0718, ..., -0.0269, 0.0454, -0.0778], [-0.0504, -0.0700, -0.0493, ..., 0.0906, -0.0281, 0.1674], [ 0.0102, -0.0191, -0.0232, ..., -0.0109, -0.0124, -0.0561], ..., [ 0.0185, -0.0739, 0.1255, ..., 0.0193, -0.0655, 0.0378], [-0.0238, 0.0468, -0.1037, ..., -0.0431, 0.0038, -0.0651], [-0.0559, 0.0649, 0.0518, ..., -0.0480, -0.0264, -0.0162]], device='cuda:0'), grad: tensor([[ 0.0001, 0.0026, 0.0005, ..., 0.0157, 0.0075, 0.0003], [ 0.0002, 0.0004, 0.0007, ..., 0.0108, 0.0013, 0.0003], [ 0.0002, 0.0017, 0.0013, ..., 0.0101, 0.0179, 0.0007], ..., [ 0.0005, 0.0034, 0.0035, ..., -0.0111, 0.0009, 0.0021], [ 0.0002, 0.0052, 0.0032, ..., 0.0093, -0.0647, 0.0018], [-0.0003, -0.0135, -0.0107, ..., -0.0057, -0.0062, -0.0016]], device='cuda:0') Epoch 142, bias, value: tensor([-0.0206, 0.0242, 0.0040, -0.0082, 0.0199, -0.0313, 0.0101, -0.0047, 0.0009, -0.0113], device='cuda:0'), grad: tensor([ 0.0510, 0.0247, 0.0488, 0.0113, -0.0088, -0.0009, -0.0357, -0.0319, -0.0197, -0.0386], device='cuda:0') 100 0.0001 changing lr epoch 141, time 214.50, cls_loss 0.6261 cls_loss_mapping 0.0120 cls_loss_causal 0.5338 re_mapping 0.0133 re_causal 0.0288 /// teacc 98.47 lr 0.00010000 Epoch 143, weight, value: tensor([[-0.0595, -0.0837, -0.0724, ..., -0.0269, 0.0458, -0.0782], [-0.0497, -0.0689, -0.0490, ..., 0.0910, -0.0284, 0.1688], [ 0.0112, -0.0183, -0.0229, ..., -0.0106, -0.0114, -0.0567], ..., [ 0.0188, -0.0737, 0.1263, ..., 0.0196, -0.0651, 0.0376], [-0.0247, 0.0460, -0.1054, ..., -0.0442, 0.0035, -0.0669], [-0.0566, 0.0646, 0.0513, ..., -0.0475, -0.0267, -0.0160]], device='cuda:0'), grad: tensor([[ 8.4788e-06, 2.2566e-04, 2.0397e-04, ..., 3.0575e-03, -3.1084e-05, 1.6499e-03], [ 7.4692e-06, 4.6039e-04, 4.1151e-04, ..., 3.0823e-03, 5.1670e-06, 2.0866e-03], [ 6.6161e-05, 6.0177e-04, 5.4264e-04, ..., -8.3313e-03, 5.8174e-05, -3.1204e-03], ..., [ 8.0317e-06, 2.0256e-03, -5.3358e-04, ..., 1.9331e-03, 1.9997e-05, 4.3564e-03], [ 4.8757e-05, 1.2369e-03, 7.0000e-04, ..., -6.2752e-03, 3.0851e-04, -2.0294e-03], [ 9.7677e-06, -4.4556e-03, -3.1261e-03, ..., -9.2411e-04, 3.8028e-05, -6.8741e-03]], device='cuda:0') Epoch 143, bias, value: tensor([-0.0197, 0.0247, 0.0037, -0.0083, 0.0195, -0.0314, 0.0102, -0.0045, 0.0001, -0.0113], device='cuda:0'), grad: tensor([ 0.0126, 0.0138, -0.0230, 0.0024, 0.0327, 0.0007, 0.0115, -0.0050, -0.0458, 0.0002], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 142---------------------------------------------------- epoch 142, time 231.13, cls_loss 0.6230 cls_loss_mapping 0.0147 cls_loss_causal 0.5340 re_mapping 0.0145 re_causal 0.0318 /// teacc 98.58 lr 0.00010000 Epoch 144, weight, value: tensor([[-0.0602, -0.0847, -0.0736, ..., -0.0279, 0.0450, -0.0806], [-0.0511, -0.0687, -0.0487, ..., 0.0917, -0.0290, 0.1696], [ 0.0135, -0.0184, -0.0234, ..., -0.0105, -0.0113, -0.0562], ..., [ 0.0179, -0.0739, 0.1258, ..., 0.0195, -0.0658, 0.0362], [-0.0251, 0.0464, -0.1053, ..., -0.0452, 0.0037, -0.0671], [-0.0559, 0.0645, 0.0520, ..., -0.0468, -0.0268, -0.0141]], device='cuda:0'), grad: tensor([[-2.6092e-05, -2.7122e-03, 4.4078e-05, ..., 6.2943e-03, 1.9968e-06, 3.8886e-04], [ 3.0696e-05, -2.0373e-04, -6.4325e-04, ..., 4.5395e-03, 9.0804e-08, -3.0670e-03], [ 4.9695e-06, 1.2989e-03, 1.0270e-04, ..., 5.7411e-03, 1.9651e-07, 4.7660e-04], ..., [-2.2030e-04, 4.2915e-04, 2.9507e-03, ..., 3.4733e-03, 3.0734e-08, 4.0321e-03], [ 2.4468e-05, -5.9357e-03, 6.5804e-04, ..., -5.6229e-03, 1.8507e-05, 5.5046e-03], [ 1.8549e-04, 5.1403e-04, -3.0174e-03, ..., 5.0011e-03, 5.8161e-07, -1.8120e-03]], device='cuda:0') Epoch 144, bias, value: tensor([-0.0209, 0.0249, 0.0045, -0.0079, 0.0196, -0.0315, 0.0105, -0.0048, -0.0003, -0.0110], device='cuda:0'), grad: tensor([-0.0026, 0.0009, 0.0161, -0.0133, -0.0186, -0.0132, -0.0027, 0.0206, 0.0101, 0.0027], device='cuda:0') 100 0.0001 changing lr epoch 143, time 214.47, cls_loss 0.6241 cls_loss_mapping 0.0122 cls_loss_causal 0.5456 re_mapping 0.0135 re_causal 0.0303 /// teacc 98.51 lr 0.00010000 Epoch 145, weight, value: tensor([[-0.0598, -0.0848, -0.0740, ..., -0.0275, 0.0451, -0.0808], [-0.0504, -0.0681, -0.0490, ..., 0.0921, -0.0289, 0.1701], [ 0.0128, -0.0186, -0.0241, ..., -0.0108, -0.0112, -0.0555], ..., [ 0.0161, -0.0746, 0.1261, ..., 0.0200, -0.0653, 0.0362], [-0.0250, 0.0462, -0.1057, ..., -0.0452, 0.0035, -0.0670], [-0.0528, 0.0656, 0.0535, ..., -0.0462, -0.0271, -0.0143]], device='cuda:0'), grad: tensor([[ 1.8406e-04, 7.1430e-04, -1.3552e-03, ..., 1.2636e-03, 8.7967e-03, 1.1253e-03], [ 5.5599e-04, 1.2894e-03, 7.6532e-05, ..., 3.4103e-03, 1.6189e-04, -2.6531e-03], [ 9.0599e-04, 1.1330e-03, 3.1543e-04, ..., 2.0676e-02, 1.8444e-03, 1.2253e-02], ..., [ 3.1257e-04, -5.7449e-03, -3.1814e-06, ..., -3.3447e-02, 3.3331e-04, -9.8495e-03], [-8.9884e-04, 2.6493e-03, 5.9634e-05, ..., 8.6441e-03, 5.1117e-04, 6.3598e-05], [ 2.5415e-04, -1.1377e-03, 3.6645e-04, ..., 3.0880e-03, 8.0204e-04, -8.6451e-04]], device='cuda:0') Epoch 145, bias, value: tensor([-0.0208, 0.0251, 0.0039, -0.0087, 0.0198, -0.0319, 0.0109, -0.0044, -0.0005, -0.0104], device='cuda:0'), grad: tensor([ 0.0163, 0.0047, 0.0134, -0.0067, -0.0034, -0.0365, 0.0147, -0.0269, 0.0126, 0.0118], device='cuda:0') 100 0.0001 changing lr epoch 144, time 214.33, cls_loss 0.6626 cls_loss_mapping 0.0088 cls_loss_causal 0.5725 re_mapping 0.0134 re_causal 0.0307 /// teacc 98.51 lr 0.00010000 Epoch 146, weight, value: tensor([[-0.0588, -0.0857, -0.0751, ..., -0.0262, 0.0454, -0.0813], [-0.0493, -0.0694, -0.0492, ..., 0.0916, -0.0285, 0.1705], [ 0.0107, -0.0193, -0.0250, ..., -0.0122, -0.0105, -0.0567], ..., [ 0.0172, -0.0748, 0.1274, ..., 0.0200, -0.0669, 0.0364], [-0.0253, 0.0459, -0.1057, ..., -0.0452, 0.0030, -0.0671], [-0.0534, 0.0662, 0.0527, ..., -0.0454, -0.0274, -0.0145]], device='cuda:0'), grad: tensor([[ 1.2204e-05, -3.2043e-03, -3.6449e-03, ..., -1.3756e-02, 1.8686e-05, -5.7526e-03], [ 1.9610e-05, 1.3673e-04, 1.4648e-03, ..., -2.8820e-03, 5.5254e-05, 9.9087e-04], [ 5.9269e-06, -7.2575e-04, -4.0507e-04, ..., -9.8953e-03, -3.9911e-04, 3.6287e-04], ..., [-4.2038e-03, 1.5545e-03, 5.5466e-03, ..., 2.3804e-02, 7.6234e-05, 2.4246e-02], [ 3.8356e-05, 7.1335e-03, 4.0817e-03, ..., 1.1948e-02, 1.5306e-04, 2.6474e-03], [ 3.9597e-03, -1.3046e-03, 3.5648e-03, ..., -2.0905e-03, 6.6049e-06, 2.6302e-03]], device='cuda:0') Epoch 146, bias, value: tensor([-0.0201, 0.0243, 0.0032, -0.0078, 0.0191, -0.0311, 0.0107, -0.0045, -0.0005, -0.0103], device='cuda:0'), grad: tensor([-0.0502, -0.0053, -0.0178, -0.0490, 0.0018, 0.0057, -0.0023, 0.0880, 0.0350, -0.0058], device='cuda:0') 100 0.0001 changing lr epoch 145, time 214.43, cls_loss 0.6596 cls_loss_mapping 0.0113 cls_loss_causal 0.5645 re_mapping 0.0139 re_causal 0.0297 /// teacc 98.39 lr 0.00010000 Epoch 147, weight, value: tensor([[-0.0598, -0.0866, -0.0751, ..., -0.0264, 0.0452, -0.0811], [-0.0486, -0.0698, -0.0478, ..., 0.0929, -0.0278, 0.1722], [ 0.0108, -0.0182, -0.0258, ..., -0.0114, -0.0103, -0.0571], ..., [ 0.0179, -0.0761, 0.1283, ..., 0.0190, -0.0669, 0.0352], [-0.0244, 0.0460, -0.1064, ..., -0.0452, 0.0026, -0.0663], [-0.0551, 0.0649, 0.0517, ..., -0.0447, -0.0275, -0.0153]], device='cuda:0'), grad: tensor([[ 8.7976e-05, 1.1292e-02, 9.5081e-04, ..., -5.1727e-03, 3.3234e-02, -4.3654e-04], [ 2.6441e-04, 1.6298e-03, 2.2564e-03, ..., 1.5182e-02, 5.6982e-04, 2.1347e-02], [ 4.2772e-04, 8.2779e-04, 1.7033e-03, ..., 5.5275e-03, 2.0218e-03, 2.9926e-03], ..., [-3.3607e-03, -4.6959e-03, -2.1713e-02, ..., -3.9215e-02, 8.2791e-05, -1.4099e-02], [-9.1374e-05, 2.0943e-03, 1.6251e-03, ..., -7.4425e-03, -5.0259e-04, -2.5208e-02], [ 1.0948e-03, -3.7670e-03, 7.1602e-03, ..., 1.4008e-02, 3.0971e-04, 6.5498e-03]], device='cuda:0') Epoch 147, bias, value: tensor([-0.0203, 0.0247, 0.0039, -0.0082, 0.0186, -0.0302, 0.0103, -0.0051, -0.0002, -0.0103], device='cuda:0'), grad: tensor([ 0.0150, 0.0502, 0.0196, 0.0342, 0.0406, -0.0718, 0.0057, -0.0895, -0.0301, 0.0261], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 146---------------------------------------------------- epoch 146, time 230.51, cls_loss 0.6111 cls_loss_mapping 0.0105 cls_loss_causal 0.5259 re_mapping 0.0140 re_causal 0.0301 /// teacc 98.66 lr 0.00010000 Epoch 148, weight, value: tensor([[-0.0611, -0.0873, -0.0763, ..., -0.0269, 0.0457, -0.0812], [-0.0492, -0.0705, -0.0468, ..., 0.0937, -0.0280, 0.1727], [ 0.0107, -0.0171, -0.0245, ..., -0.0115, -0.0103, -0.0571], ..., [ 0.0182, -0.0770, 0.1289, ..., 0.0197, -0.0673, 0.0351], [-0.0236, 0.0458, -0.1066, ..., -0.0442, 0.0038, -0.0655], [-0.0550, 0.0655, 0.0495, ..., -0.0450, -0.0276, -0.0157]], device='cuda:0'), grad: tensor([[ 8.0705e-05, 4.7994e-04, 2.9135e-04, ..., 5.8403e-03, 1.8368e-03, 1.0872e-03], [ 1.7238e-04, 9.8705e-04, -2.9011e-03, ..., -4.4327e-03, 1.3580e-03, -2.8877e-03], [-6.8045e-04, 1.3828e-03, 1.1759e-03, ..., 4.3755e-03, 8.2111e-04, 1.2341e-03], ..., [-3.5286e-03, -8.0490e-03, -3.9062e-03, ..., -4.6158e-03, 1.2159e-03, -4.9257e-04], [ 1.8129e-03, 5.3101e-03, 3.6755e-03, ..., -6.6566e-03, 1.9121e-03, -4.8637e-03], [ 6.8712e-04, -4.9072e-02, -3.1013e-03, ..., 5.4054e-03, -9.4299e-03, 8.6670e-03]], device='cuda:0') Epoch 148, bias, value: tensor([-0.0202, 0.0253, 0.0038, -0.0078, 0.0188, -0.0318, 0.0097, -0.0049, 0.0005, -0.0104], device='cuda:0'), grad: tensor([ 0.0150, -0.0116, 0.0132, 0.0087, -0.0143, -0.0082, 0.0149, -0.0151, 0.0082, -0.0109], device='cuda:0') 100 0.0001 changing lr epoch 147, time 214.59, cls_loss 0.6284 cls_loss_mapping 0.0089 cls_loss_causal 0.5393 re_mapping 0.0141 re_causal 0.0327 /// teacc 98.48 lr 0.00010000 Epoch 149, weight, value: tensor([[-0.0620, -0.0887, -0.0789, ..., -0.0269, 0.0458, -0.0820], [-0.0491, -0.0707, -0.0462, ..., 0.0945, -0.0287, 0.1731], [ 0.0114, -0.0177, -0.0223, ..., -0.0111, -0.0106, -0.0567], ..., [ 0.0174, -0.0770, 0.1291, ..., 0.0198, -0.0672, 0.0355], [-0.0239, 0.0465, -0.1079, ..., -0.0439, 0.0049, -0.0668], [-0.0541, 0.0654, 0.0481, ..., -0.0456, -0.0282, -0.0164]], device='cuda:0'), grad: tensor([[ 7.3202e-07, -1.0061e-03, -4.0665e-03, ..., -4.7188e-03, 4.5657e-05, -2.8572e-03], [ 7.0110e-06, 1.0090e-03, 1.0786e-03, ..., 6.8970e-03, 1.8165e-05, 4.8280e-04], [ 2.5094e-05, 2.3270e-03, 1.7309e-03, ..., -7.1716e-03, 3.1877e-04, 6.4325e-04], ..., [ 7.9393e-04, 8.7357e-03, -2.0790e-03, ..., -3.7212e-03, 2.7132e-04, 1.7014e-03], [ 6.6102e-05, -1.8799e-04, 2.6245e-03, ..., -6.0806e-03, 5.8365e-04, -1.9569e-03], [-1.0319e-03, -1.0246e-02, 1.6642e-03, ..., 4.6310e-03, 3.9959e-04, -2.8825e-04]], device='cuda:0') Epoch 149, bias, value: tensor([-0.0206, 0.0254, 0.0049, -0.0078, 0.0186, -0.0323, 0.0087, -0.0043, 0.0011, -0.0108], device='cuda:0'), grad: tensor([-1.1955e-02, 2.2125e-02, 3.9637e-05, 5.3329e-03, -4.2686e-03, 2.5711e-02, -1.5068e-02, 2.3918e-03, -2.8900e-02, 4.6196e-03], device='cuda:0') 100 0.0001 changing lr epoch 148, time 214.39, cls_loss 0.6221 cls_loss_mapping 0.0115 cls_loss_causal 0.5204 re_mapping 0.0141 re_causal 0.0302 /// teacc 98.51 lr 0.00010000 Epoch 150, weight, value: tensor([[-0.0636, -0.0899, -0.0788, ..., -0.0276, 0.0466, -0.0829], [-0.0481, -0.0693, -0.0476, ..., 0.0947, -0.0294, 0.1726], [ 0.0120, -0.0177, -0.0223, ..., -0.0115, -0.0109, -0.0573], ..., [ 0.0173, -0.0778, 0.1300, ..., 0.0217, -0.0669, 0.0364], [-0.0260, 0.0468, -0.1091, ..., -0.0448, 0.0058, -0.0664], [-0.0538, 0.0667, 0.0491, ..., -0.0451, -0.0286, -0.0164]], device='cuda:0'), grad: tensor([[ 1.1003e-04, 1.7691e-04, 1.0338e-03, ..., 4.1389e-03, 9.8133e-04, 2.0170e-04], [-3.3302e-03, 2.7442e-04, -3.3417e-03, ..., -1.3901e-02, 3.5733e-05, 2.0361e-04], [ 7.4387e-04, -8.9312e-04, -2.5501e-03, ..., -7.3051e-03, -4.4136e-03, 4.9543e-04], ..., [ 4.3511e-04, -8.9645e-04, -1.0462e-03, ..., -6.7673e-03, 4.4465e-05, -1.8341e-02], [ 3.9697e-04, -2.4292e-02, 1.1557e-04, ..., 3.9444e-03, 1.4753e-03, 1.2941e-03], [ 2.4283e-04, -3.3450e-04, -1.1873e-03, ..., -6.9771e-03, 3.7432e-05, -1.5373e-03]], device='cuda:0') Epoch 150, bias, value: tensor([-0.0210, 0.0252, 0.0045, -0.0094, 0.0192, -0.0319, 0.0092, -0.0033, 0.0010, -0.0106], device='cuda:0'), grad: tensor([ 0.0100, -0.0409, -0.0126, 0.0282, 0.0185, 0.0207, 0.0179, -0.0195, -0.0152, -0.0072], device='cuda:0') 100 0.0001 changing lr epoch 149, time 214.42, cls_loss 0.6181 cls_loss_mapping 0.0116 cls_loss_causal 0.5344 re_mapping 0.0140 re_causal 0.0309 /// teacc 98.65 lr 0.00010000 Epoch 151, weight, value: tensor([[-0.0639, -0.0883, -0.0800, ..., -0.0276, 0.0463, -0.0835], [-0.0501, -0.0713, -0.0482, ..., 0.0935, -0.0301, 0.1735], [ 0.0117, -0.0174, -0.0226, ..., -0.0115, -0.0100, -0.0568], ..., [ 0.0178, -0.0771, 0.1304, ..., 0.0220, -0.0672, 0.0365], [-0.0256, 0.0464, -0.1095, ..., -0.0444, 0.0046, -0.0666], [-0.0527, 0.0669, 0.0492, ..., -0.0459, -0.0276, -0.0163]], device='cuda:0'), grad: tensor([[ 3.6787e-07, 4.8327e-04, -4.5970e-06, ..., -2.9488e-03, 2.8248e-03, 9.2840e-04], [ 3.3583e-06, 3.1662e-04, 1.8339e-03, ..., -1.2569e-03, 5.9509e-04, 9.1324e-03], [-7.7546e-05, 3.2759e-04, 2.3842e-03, ..., 2.7893e-02, 8.9169e-04, 4.7565e-04], ..., [ 1.9204e-06, 8.6212e-04, 1.4257e-03, ..., 1.1702e-03, 3.9215e-03, 7.8201e-04], [ 6.6698e-05, 1.0405e-03, -1.3361e-03, ..., -3.6804e-02, 6.4039e-04, -1.2619e-02], [-1.4529e-06, 7.3242e-04, 3.4580e-03, ..., 5.5656e-03, 2.8839e-03, 4.8757e-04]], device='cuda:0') Epoch 151, bias, value: tensor([-0.0216, 0.0242, 0.0052, -0.0093, 0.0189, -0.0309, 0.0096, -0.0033, 0.0005, -0.0105], device='cuda:0'), grad: tensor([-0.0003, 0.0181, 0.0461, -0.0093, -0.0227, 0.0244, -0.0309, 0.0064, -0.0590, 0.0272], device='cuda:0') 100 0.0001 changing lr epoch 150, time 214.44, cls_loss 0.6042 cls_loss_mapping 0.0092 cls_loss_causal 0.5135 re_mapping 0.0141 re_causal 0.0309 /// teacc 98.64 lr 0.00010000 Epoch 152, weight, value: tensor([[-0.0646, -0.0878, -0.0790, ..., -0.0266, 0.0465, -0.0849], [-0.0507, -0.0712, -0.0484, ..., 0.0938, -0.0313, 0.1743], [ 0.0110, -0.0176, -0.0239, ..., -0.0112, -0.0098, -0.0571], ..., [ 0.0177, -0.0766, 0.1321, ..., 0.0214, -0.0670, 0.0368], [-0.0239, 0.0462, -0.1106, ..., -0.0446, 0.0042, -0.0662], [-0.0528, 0.0667, 0.0494, ..., -0.0458, -0.0281, -0.0165]], device='cuda:0'), grad: tensor([[-1.1017e-02, -1.3046e-02, -2.1515e-02, ..., 1.7347e-03, 1.7095e-04, 9.5367e-05], [-2.3201e-05, -4.5586e-03, 9.5749e-04, ..., -2.6035e-03, 5.5790e-04, -5.2490e-03], [ 1.2070e-04, 1.3885e-03, 2.2278e-03, ..., 4.8714e-03, 1.4782e-03, 2.9135e-04], ..., [ 2.9411e-06, -3.2940e-03, -7.9422e-03, ..., -1.8356e-02, -3.7518e-03, 2.2296e-06], [ 1.6570e-04, 2.0275e-03, 8.7261e-04, ..., 3.6144e-03, 3.0565e-04, 1.7023e-03], [ 1.8671e-05, 1.0424e-03, 1.1597e-03, ..., 3.7231e-03, 4.7636e-04, 4.5252e-04]], device='cuda:0') Epoch 152, bias, value: tensor([-0.0203, 0.0240, 0.0049, -0.0096, 0.0192, -0.0305, 0.0098, -0.0042, 0.0003, -0.0105], device='cuda:0'), grad: tensor([-0.0497, -0.0045, 0.0223, 0.0462, -0.0137, 0.0181, 0.0233, -0.0765, 0.0177, 0.0168], device='cuda:0') 100 0.0001 changing lr epoch 151, time 214.38, cls_loss 0.5993 cls_loss_mapping 0.0111 cls_loss_causal 0.5268 re_mapping 0.0134 re_causal 0.0293 /// teacc 98.44 lr 0.00010000 Epoch 153, weight, value: tensor([[-0.0631, -0.0885, -0.0782, ..., -0.0269, 0.0461, -0.0850], [-0.0504, -0.0711, -0.0482, ..., 0.0938, -0.0319, 0.1745], [ 0.0112, -0.0175, -0.0248, ..., -0.0112, -0.0099, -0.0565], ..., [ 0.0183, -0.0779, 0.1291, ..., 0.0211, -0.0671, 0.0366], [-0.0244, 0.0466, -0.1130, ..., -0.0448, 0.0051, -0.0666], [-0.0536, 0.0660, 0.0501, ..., -0.0457, -0.0286, -0.0163]], device='cuda:0'), grad: tensor([[-2.1992e-03, -1.7338e-03, -3.2291e-03, ..., -4.4785e-03, -4.9286e-03, -7.3195e-04], [ 4.3082e-04, -4.4975e-03, -6.1655e-04, ..., -5.6763e-03, -4.8470e-04, -2.5253e-03], [ 1.5297e-03, 5.8327e-03, 5.5313e-03, ..., 9.2316e-03, 2.7313e-03, 1.3506e-04], ..., [ 6.2466e-04, 1.2827e-03, 8.4829e-04, ..., -6.8016e-03, 5.9223e-04, -2.9907e-05], [ 1.1425e-03, 1.0170e-02, 5.8136e-03, ..., 9.0179e-03, 3.9787e-03, 7.4911e-04], [ 8.4782e-04, -1.6129e-02, -1.5533e-02, ..., -8.3008e-03, 6.5804e-04, 1.2445e-04]], device='cuda:0') Epoch 153, bias, value: tensor([-0.0207, 0.0247, 0.0048, -0.0095, 0.0190, -0.0304, 0.0101, -0.0045, -0.0001, -0.0104], device='cuda:0'), grad: tensor([-0.0041, -0.0244, 0.0205, -0.0129, -0.0095, 0.0654, -0.0376, -0.0310, 0.0493, -0.0156], device='cuda:0') 100 0.0001 changing lr epoch 152, time 214.38, cls_loss 0.6190 cls_loss_mapping 0.0108 cls_loss_causal 0.5289 re_mapping 0.0130 re_causal 0.0298 /// teacc 98.58 lr 0.00010000 Epoch 154, weight, value: tensor([[-0.0640, -0.0881, -0.0791, ..., -0.0273, 0.0459, -0.0855], [-0.0489, -0.0720, -0.0497, ..., 0.0937, -0.0304, 0.1756], [ 0.0117, -0.0179, -0.0253, ..., -0.0111, -0.0100, -0.0562], ..., [ 0.0181, -0.0776, 0.1298, ..., 0.0216, -0.0667, 0.0353], [-0.0256, 0.0457, -0.1133, ..., -0.0453, 0.0062, -0.0681], [-0.0548, 0.0663, 0.0520, ..., -0.0457, -0.0287, -0.0149]], device='cuda:0'), grad: tensor([[ 9.6178e-04, 1.6069e-03, 1.9197e-03, ..., 4.2229e-03, 3.1441e-05, -1.0902e-04], [ 4.2939e-04, -7.0000e-04, -4.4250e-02, ..., -1.2718e-02, -2.1410e-04, -1.2306e-02], [ 1.0300e-03, 9.6655e-04, 3.7766e-03, ..., 4.6272e-03, 3.4928e-05, 1.6851e-03], ..., [ 1.3676e-03, 1.6298e-03, 3.8330e-02, ..., 1.3298e-02, 1.6183e-05, 9.6817e-03], [-1.2226e-03, -4.1008e-05, -5.5933e-04, ..., -1.6708e-03, 2.3112e-05, -1.1978e-03], [-3.1614e-04, -4.1656e-03, 2.2087e-03, ..., -1.0620e-02, 4.5955e-05, -3.4103e-03]], device='cuda:0') Epoch 154, bias, value: tensor([-0.0212, 0.0254, 0.0046, -0.0098, 0.0198, -0.0306, 0.0105, -0.0048, -0.0002, -0.0107], device='cuda:0'), grad: tensor([ 0.0115, -0.0601, 0.0181, -0.0156, 0.0337, 0.0079, -0.0107, 0.0635, -0.0033, -0.0449], device='cuda:0') 100 0.0001 changing lr epoch 153, time 214.22, cls_loss 0.6143 cls_loss_mapping 0.0089 cls_loss_causal 0.5258 re_mapping 0.0130 re_causal 0.0283 /// teacc 98.61 lr 0.00010000 Epoch 155, weight, value: tensor([[-0.0633, -0.0879, -0.0792, ..., -0.0276, 0.0471, -0.0846], [-0.0496, -0.0729, -0.0495, ..., 0.0946, -0.0310, 0.1761], [ 0.0114, -0.0182, -0.0246, ..., -0.0109, -0.0104, -0.0557], ..., [ 0.0170, -0.0782, 0.1294, ..., 0.0210, -0.0667, 0.0359], [-0.0255, 0.0473, -0.1142, ..., -0.0457, 0.0059, -0.0689], [-0.0528, 0.0662, 0.0514, ..., -0.0456, -0.0292, -0.0162]], device='cuda:0'), grad: tensor([[ 9.3162e-05, 4.8161e-04, 4.6611e-04, ..., -1.1833e-02, 5.9223e-04, -8.3256e-04], [-2.9335e-03, -3.5019e-03, -7.9041e-03, ..., -1.0101e-02, 2.6584e-05, -5.8250e-03], [ 7.6818e-04, 2.6054e-03, 2.0599e-03, ..., 5.6343e-03, 1.9395e-04, 5.0306e-04], ..., [ 7.7581e-04, 5.7697e-05, -5.9395e-03, ..., 9.5272e-04, -2.5201e-04, 1.6718e-03], [ 5.0974e-04, 1.4925e-03, 2.8439e-03, ..., -5.4893e-03, 5.2643e-04, 9.0599e-04], [ 1.2026e-03, 3.7994e-02, 1.1072e-03, ..., 1.8978e-03, 1.0538e-04, 1.1387e-03]], device='cuda:0') Epoch 155, bias, value: tensor([-0.0205, 0.0259, 0.0047, -0.0099, 0.0206, -0.0300, 0.0088, -0.0055, -0.0007, -0.0104], device='cuda:0'), grad: tensor([-0.0369, -0.0377, 0.0279, 0.0250, -0.0301, 0.0221, 0.0327, -0.0116, -0.0347, 0.0433], device='cuda:0') 100 0.0001 changing lr epoch 154, time 214.21, cls_loss 0.6219 cls_loss_mapping 0.0070 cls_loss_causal 0.5372 re_mapping 0.0130 re_causal 0.0309 /// teacc 98.56 lr 0.00010000 Epoch 156, weight, value: tensor([[-0.0628, -0.0884, -0.0780, ..., -0.0277, 0.0475, -0.0833], [-0.0494, -0.0734, -0.0503, ..., 0.0952, -0.0313, 0.1763], [ 0.0104, -0.0179, -0.0251, ..., -0.0104, -0.0102, -0.0558], ..., [ 0.0173, -0.0792, 0.1297, ..., 0.0206, -0.0663, 0.0357], [-0.0253, 0.0466, -0.1147, ..., -0.0462, 0.0060, -0.0679], [-0.0525, 0.0663, 0.0527, ..., -0.0443, -0.0305, -0.0158]], device='cuda:0'), grad: tensor([[ 2.6643e-05, 7.8011e-04, 6.5184e-04, ..., 6.4201e-03, -1.1238e-02, 5.6305e-03], [ 1.1235e-05, -4.9362e-03, 1.1215e-03, ..., -1.4862e-02, -1.5144e-03, -5.2547e-04], [ 5.8621e-05, 4.3793e-03, 1.1406e-03, ..., 7.9193e-03, 2.7523e-03, 2.3746e-03], ..., [ 8.9049e-05, 6.2180e-04, 1.6317e-03, ..., 7.8506e-03, 2.8181e-04, -1.4191e-02], [ 4.2748e-04, 2.4624e-03, -4.7340e-03, ..., -6.1607e-03, 4.6959e-03, 1.5936e-03], [-1.9703e-03, -1.2732e-03, -3.5839e-03, ..., 4.9553e-03, 1.7900e-03, 1.4839e-03]], device='cuda:0') Epoch 156, bias, value: tensor([-0.0208, 0.0270, 0.0046, -0.0101, 0.0190, -0.0302, 0.0092, -0.0055, -0.0009, -0.0093], device='cuda:0'), grad: tensor([ 0.0171, -0.0280, 0.0342, -0.0280, -0.0060, 0.0141, -0.0020, -0.0106, -0.0030, 0.0124], device='cuda:0') 100 0.0001 changing lr epoch 155, time 214.48, cls_loss 0.6112 cls_loss_mapping 0.0106 cls_loss_causal 0.5283 re_mapping 0.0127 re_causal 0.0289 /// teacc 98.59 lr 0.00010000 Epoch 157, weight, value: tensor([[-0.0636, -0.0891, -0.0773, ..., -0.0278, 0.0488, -0.0836], [-0.0501, -0.0743, -0.0499, ..., 0.0946, -0.0313, 0.1767], [ 0.0107, -0.0165, -0.0244, ..., -0.0104, -0.0089, -0.0560], ..., [ 0.0185, -0.0795, 0.1299, ..., 0.0201, -0.0666, 0.0370], [-0.0251, 0.0468, -0.1151, ..., -0.0460, 0.0061, -0.0688], [-0.0526, 0.0654, 0.0519, ..., -0.0455, -0.0311, -0.0166]], device='cuda:0'), grad: tensor([[ 6.4895e-06, 7.6294e-04, 7.2813e-04, ..., 1.3672e-02, 1.2026e-03, 1.5676e-04], [ 1.3813e-05, 3.5744e-03, 5.0879e-04, ..., 3.3112e-02, 3.7169e-04, 1.1200e-04], [ 8.4829e-04, 7.3957e-04, 7.5226e-03, ..., -6.6681e-03, 5.1498e-03, 1.5821e-03], ..., [-9.3365e-04, 2.1133e-03, 6.6185e-03, ..., -3.9902e-03, 1.1322e-02, -1.5182e-03], [ 2.3112e-05, -1.3702e-02, 2.1362e-03, ..., -2.3575e-02, 5.8479e-03, 2.1350e-04], [-3.3587e-05, 1.8139e-03, 7.6027e-03, ..., -3.9825e-03, 2.8801e-03, -7.6008e-04]], device='cuda:0') Epoch 157, bias, value: tensor([-0.0208, 0.0265, 0.0055, -0.0110, 0.0191, -0.0300, 0.0100, -0.0056, -0.0003, -0.0102], device='cuda:0'), grad: tensor([ 0.0307, 0.0305, -0.0034, -0.0126, -0.0163, 0.0244, -0.0342, 0.0010, -0.0265, 0.0064], device='cuda:0') 100 0.0001 changing lr epoch 156, time 214.29, cls_loss 0.6337 cls_loss_mapping 0.0116 cls_loss_causal 0.5443 re_mapping 0.0129 re_causal 0.0281 /// teacc 98.39 lr 0.00010000 Epoch 158, weight, value: tensor([[-0.0644, -0.0909, -0.0776, ..., -0.0283, 0.0486, -0.0831], [-0.0503, -0.0736, -0.0499, ..., 0.0947, -0.0314, 0.1776], [ 0.0109, -0.0172, -0.0238, ..., -0.0103, -0.0090, -0.0566], ..., [ 0.0193, -0.0805, 0.1301, ..., 0.0194, -0.0667, 0.0368], [-0.0251, 0.0485, -0.1167, ..., -0.0453, 0.0057, -0.0693], [-0.0536, 0.0645, 0.0518, ..., -0.0465, -0.0313, -0.0163]], device='cuda:0'), grad: tensor([[ 1.1735e-06, 1.3285e-03, 4.6825e-04, ..., 6.6147e-03, -2.7313e-03, 2.5558e-03], [ 2.6375e-06, 3.2687e-04, 6.2883e-05, ..., -3.1891e-02, 3.6168e-04, -1.4442e-02], [ 2.2739e-05, 2.7895e-04, -7.0906e-04, ..., 5.6152e-03, 7.9060e-04, 2.0008e-03], ..., [ 3.7402e-06, 4.6492e-04, -1.9968e-05, ..., 8.4000e-03, 2.7132e-04, 1.2960e-03], [-7.0520e-06, -2.5139e-03, 1.6565e-03, ..., 1.0300e-02, 8.8263e-04, 1.6689e-03], [ 2.9981e-05, -5.9052e-03, 7.7772e-04, ..., 5.4016e-03, 8.9073e-04, -1.2367e-02]], device='cuda:0') Epoch 158, bias, value: tensor([-2.0801e-02, 2.6678e-02, 5.1584e-03, -1.0649e-02, 1.9775e-02, -2.9717e-02, 9.4442e-03, -6.0179e-03, 5.5559e-05, -1.0768e-02], device='cuda:0'), grad: tensor([ 0.0139, -0.0572, 0.0056, -0.0779, 0.0005, 0.0248, 0.0351, 0.0262, 0.0268, 0.0020], device='cuda:0') 100 0.0001 changing lr epoch 157, time 214.54, cls_loss 0.5840 cls_loss_mapping 0.0110 cls_loss_causal 0.4949 re_mapping 0.0128 re_causal 0.0282 /// teacc 98.53 lr 0.00010000 Epoch 159, weight, value: tensor([[-0.0661, -0.0914, -0.0774, ..., -0.0278, 0.0497, -0.0842], [-0.0508, -0.0742, -0.0501, ..., 0.0958, -0.0321, 0.1781], [ 0.0123, -0.0174, -0.0237, ..., -0.0112, -0.0093, -0.0573], ..., [ 0.0189, -0.0796, 0.1303, ..., 0.0198, -0.0654, 0.0370], [-0.0264, 0.0471, -0.1184, ..., -0.0469, 0.0057, -0.0702], [-0.0529, 0.0654, 0.0515, ..., -0.0464, -0.0320, -0.0155]], device='cuda:0'), grad: tensor([[ 1.0710e-03, 1.7633e-03, 7.7534e-04, ..., -1.1734e-02, 3.2978e-03, 3.8052e-04], [ 1.7071e-03, 6.6221e-05, 2.8400e-03, ..., 4.7150e-03, 4.7073e-03, -1.1282e-03], [ 1.2169e-03, 3.9940e-03, 4.4899e-03, ..., 2.0828e-02, 2.8400e-03, 7.9155e-04], ..., [ 8.0252e-04, -2.2171e-02, 1.0033e-03, ..., 9.4795e-04, 1.2236e-03, -4.9934e-03], [ 1.8702e-03, -2.1439e-02, -1.4229e-02, ..., -1.0498e-02, -1.4458e-02, -4.8351e-04], [ 1.8396e-03, 1.3145e-02, 8.3351e-04, ..., 7.3433e-03, 1.0328e-03, 2.8915e-03]], device='cuda:0') Epoch 159, bias, value: tensor([-0.0205, 0.0270, 0.0045, -0.0107, 0.0203, -0.0294, 0.0092, -0.0056, -0.0005, -0.0112], device='cuda:0'), grad: tensor([-0.0116, 0.0122, 0.0538, 0.0035, -0.0646, -0.0087, 0.0361, -0.0247, -0.0195, 0.0234], device='cuda:0') 100 0.0001 changing lr epoch 158, time 214.21, cls_loss 0.5987 cls_loss_mapping 0.0075 cls_loss_causal 0.5201 re_mapping 0.0127 re_causal 0.0287 /// teacc 98.47 lr 0.00010000 Epoch 160, weight, value: tensor([[-0.0651, -0.0922, -0.0767, ..., -0.0267, 0.0489, -0.0847], [-0.0504, -0.0748, -0.0512, ..., 0.0949, -0.0329, 0.1782], [ 0.0118, -0.0160, -0.0235, ..., -0.0107, -0.0111, -0.0577], ..., [ 0.0185, -0.0804, 0.1308, ..., 0.0191, -0.0662, 0.0374], [-0.0273, 0.0467, -0.1182, ..., -0.0468, 0.0067, -0.0697], [-0.0526, 0.0671, 0.0511, ..., -0.0472, -0.0321, -0.0158]], device='cuda:0'), grad: tensor([[ 5.6922e-05, -1.7662e-03, 1.7357e-04, ..., -6.5117e-03, -6.1178e-04, -1.1749e-02], [ 6.0022e-05, 2.2054e-04, -3.5596e-04, ..., -8.3313e-03, 3.6001e-05, -4.3755e-03], [ 8.5771e-05, 2.2972e-04, 5.3482e-03, ..., 4.1161e-03, 3.0589e-04, 4.3755e-03], ..., [-1.3247e-03, -5.8937e-03, -1.3969e-02, ..., 1.8816e-03, 1.9725e-06, 1.2312e-03], [ 1.5056e-04, 1.1997e-03, 8.0919e-04, ..., -1.0689e-02, 1.0586e-03, -2.0046e-03], [ 1.3762e-03, 5.4550e-03, 6.0730e-03, ..., 6.7062e-03, 4.0913e-04, 2.8267e-03]], device='cuda:0') Epoch 160, bias, value: tensor([-0.0200, 0.0269, 0.0037, -0.0098, 0.0211, -0.0295, 0.0084, -0.0058, -0.0001, -0.0117], device='cuda:0'), grad: tensor([-0.0484, -0.0172, 0.0200, -0.0115, -0.0046, 0.0266, 0.0244, -0.0315, 0.0002, 0.0420], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 159---------------------------------------------------- epoch 159, time 230.93, cls_loss 0.6082 cls_loss_mapping 0.0101 cls_loss_causal 0.5282 re_mapping 0.0128 re_causal 0.0286 /// teacc 98.68 lr 0.00010000 Epoch 161, weight, value: tensor([[-0.0653, -0.0938, -0.0785, ..., -0.0267, 0.0478, -0.0849], [-0.0514, -0.0750, -0.0491, ..., 0.0953, -0.0322, 0.1784], [ 0.0125, -0.0167, -0.0257, ..., -0.0111, -0.0120, -0.0574], ..., [ 0.0197, -0.0783, 0.1331, ..., 0.0207, -0.0648, 0.0378], [-0.0282, 0.0470, -0.1178, ..., -0.0482, 0.0078, -0.0701], [-0.0522, 0.0656, 0.0505, ..., -0.0464, -0.0329, -0.0158]], device='cuda:0'), grad: tensor([[ 3.2878e-04, -8.8310e-04, 1.3933e-05, ..., 3.1447e-04, -6.8247e-05, -7.7295e-04], [ 7.4029e-05, 6.9475e-04, 6.8951e-04, ..., -4.5319e-03, 7.0315e-07, -1.1510e-04], [-4.6883e-03, -1.9928e-02, -1.5335e-02, ..., -1.1375e-02, 1.5721e-05, 4.8375e-04], ..., [-1.5125e-03, 2.0275e-03, 4.4584e-04, ..., 3.5686e-03, 5.4389e-07, 1.2505e-04], [ 4.7159e-04, 1.1490e-02, -2.7905e-03, ..., -1.1377e-03, 3.9756e-05, 9.3579e-05], [ 1.2245e-03, -2.0256e-03, 5.0507e-03, ..., 8.1015e-04, 5.0999e-06, 3.3355e-04]], device='cuda:0') Epoch 161, bias, value: tensor([-0.0208, 0.0266, 0.0044, -0.0096, 0.0205, -0.0295, 0.0084, -0.0052, -0.0006, -0.0112], device='cuda:0'), grad: tensor([-0.0044, -0.0191, -0.0610, 0.0449, -0.0272, 0.0237, 0.0127, 0.0086, -0.0089, 0.0308], device='cuda:0') 100 0.0001 changing lr epoch 160, time 214.32, cls_loss 0.5948 cls_loss_mapping 0.0084 cls_loss_causal 0.5122 re_mapping 0.0136 re_causal 0.0299 /// teacc 98.54 lr 0.00010000 Epoch 162, weight, value: tensor([[-0.0640, -0.0911, -0.0782, ..., -0.0272, 0.0481, -0.0856], [-0.0512, -0.0743, -0.0490, ..., 0.0956, -0.0324, 0.1792], [ 0.0124, -0.0177, -0.0258, ..., -0.0116, -0.0119, -0.0575], ..., [ 0.0196, -0.0786, 0.1329, ..., 0.0207, -0.0646, 0.0379], [-0.0289, 0.0478, -0.1183, ..., -0.0482, 0.0084, -0.0715], [-0.0529, 0.0653, 0.0509, ..., -0.0464, -0.0326, -0.0155]], device='cuda:0'), grad: tensor([[ 1.0180e-04, 1.5802e-03, -9.6035e-04, ..., 4.7836e-03, 2.3317e-04, 2.0218e-04], [ 6.7234e-05, 5.8508e-04, 3.6883e-04, ..., 5.2910e-03, 2.3675e-04, 9.3102e-05], [-7.8487e-04, -3.8795e-03, -4.9896e-03, ..., -1.4206e-02, -8.8692e-04, 3.7479e-04], ..., [ 2.2578e-04, 1.1606e-03, 1.1311e-03, ..., 9.2163e-03, 5.8222e-04, 8.6403e-04], [-3.2663e-04, 4.6234e-03, -2.3098e-03, ..., 1.2108e-02, 1.7891e-03, 1.1911e-03], [ 1.1545e-04, 2.1219e-04, 1.5640e-03, ..., -1.3695e-02, -7.4005e-04, -4.8447e-03]], device='cuda:0') Epoch 162, bias, value: tensor([-0.0203, 0.0269, 0.0043, -0.0102, 0.0199, -0.0301, 0.0096, -0.0051, -0.0008, -0.0109], device='cuda:0'), grad: tensor([ 0.0055, 0.0172, -0.0334, -0.0037, -0.0142, -0.0329, 0.0283, 0.0288, 0.0383, -0.0339], device='cuda:0') 100 0.0001 changing lr epoch 161, time 214.11, cls_loss 0.5875 cls_loss_mapping 0.0095 cls_loss_causal 0.5011 re_mapping 0.0131 re_causal 0.0286 /// teacc 98.65 lr 0.00010000 Epoch 163, weight, value: tensor([[-0.0633, -0.0917, -0.0780, ..., -0.0276, 0.0466, -0.0859], [-0.0514, -0.0744, -0.0490, ..., 0.0965, -0.0325, 0.1796], [ 0.0124, -0.0176, -0.0268, ..., -0.0119, -0.0112, -0.0574], ..., [ 0.0202, -0.0799, 0.1336, ..., 0.0205, -0.0650, 0.0370], [-0.0288, 0.0474, -0.1180, ..., -0.0484, 0.0088, -0.0730], [-0.0532, 0.0662, 0.0506, ..., -0.0471, -0.0327, -0.0143]], device='cuda:0'), grad: tensor([[ 4.7833e-05, 2.2163e-03, 1.5032e-04, ..., 5.1651e-03, -4.2349e-05, 1.6391e-04], [ 8.7619e-05, 2.8968e-04, 4.2343e-04, ..., 3.9215e-03, 6.2399e-08, 5.5933e-04], [-4.3654e-04, 5.9242e-03, -8.7214e-04, ..., -4.2419e-03, 1.4693e-05, -1.0948e-03], ..., [ 1.5724e-04, 1.4725e-03, -2.6608e-04, ..., 3.9558e-03, 4.7963e-07, -4.3893e-04], [ 4.1902e-05, 5.2109e-03, 2.9969e-04, ..., 7.4577e-03, 2.1160e-06, 1.8966e-04], [ 9.4324e-06, 1.4138e-04, 4.5013e-04, ..., -3.7022e-03, 3.8557e-06, 2.5892e-04]], device='cuda:0') Epoch 163, bias, value: tensor([-0.0207, 0.0279, 0.0038, -0.0111, 0.0209, -0.0291, 0.0095, -0.0060, -0.0008, -0.0112], device='cuda:0'), grad: tensor([ 0.0193, 0.0158, -0.0186, -0.0292, -0.0089, 0.0292, -0.0253, 0.0128, 0.0269, -0.0219], device='cuda:0') 100 0.0001 changing lr epoch 162, time 214.24, cls_loss 0.6252 cls_loss_mapping 0.0091 cls_loss_causal 0.5403 re_mapping 0.0130 re_causal 0.0287 /// teacc 98.60 lr 0.00010000 Epoch 164, weight, value: tensor([[-0.0642, -0.0921, -0.0789, ..., -0.0285, 0.0470, -0.0858], [-0.0523, -0.0740, -0.0496, ..., 0.0961, -0.0327, 0.1791], [ 0.0144, -0.0184, -0.0276, ..., -0.0119, -0.0103, -0.0554], ..., [ 0.0199, -0.0800, 0.1342, ..., 0.0203, -0.0653, 0.0368], [-0.0295, 0.0477, -0.1186, ..., -0.0481, 0.0089, -0.0737], [-0.0528, 0.0665, 0.0512, ..., -0.0467, -0.0333, -0.0144]], device='cuda:0'), grad: tensor([[ 1.4954e-03, 1.1539e-03, 1.6708e-03, ..., 5.6572e-03, 1.7738e-04, 8.4400e-04], [ 1.4460e-04, 4.7684e-04, 1.6556e-03, ..., -3.7708e-03, -8.2970e-04, 1.4238e-03], [ 6.5136e-04, 1.6727e-03, 1.7805e-03, ..., 5.4016e-03, 6.2180e-04, 1.2522e-03], ..., [ 7.9036e-05, -5.5771e-03, -1.2810e-02, ..., -1.2886e-02, -4.3464e-04, -6.5041e-03], [-4.3602e-03, -7.7534e-04, -9.8896e-04, ..., -1.8415e-03, 4.2892e-04, 1.7195e-03], [ 5.7268e-04, -1.7138e-03, -1.8272e-03, ..., -1.2634e-02, 1.5175e-04, -1.4648e-03]], device='cuda:0') Epoch 164, bias, value: tensor([-0.0216, 0.0277, 0.0042, -0.0113, 0.0214, -0.0283, 0.0092, -0.0058, -0.0010, -0.0111], device='cuda:0'), grad: tensor([ 0.0159, -0.0126, 0.0169, 0.0253, 0.0176, -0.0008, 0.0184, -0.0368, -0.0047, -0.0391], device='cuda:0') 100 0.0001 changing lr epoch 163, time 214.06, cls_loss 0.6337 cls_loss_mapping 0.0084 cls_loss_causal 0.5519 re_mapping 0.0125 re_causal 0.0282 /// teacc 98.66 lr 0.00010000 Epoch 165, weight, value: tensor([[-0.0657, -0.0936, -0.0803, ..., -0.0290, 0.0470, -0.0876], [-0.0531, -0.0739, -0.0509, ..., 0.0967, -0.0334, 0.1796], [ 0.0142, -0.0202, -0.0278, ..., -0.0119, -0.0105, -0.0572], ..., [ 0.0201, -0.0785, 0.1345, ..., 0.0207, -0.0649, 0.0368], [-0.0289, 0.0479, -0.1195, ..., -0.0488, 0.0096, -0.0724], [-0.0532, 0.0667, 0.0522, ..., -0.0467, -0.0327, -0.0136]], device='cuda:0'), grad: tensor([[ 1.2074e-03, 3.9268e-04, 1.0653e-03, ..., 6.6566e-04, -1.9705e-04, 8.5926e-04], [ 5.6267e-04, 7.1108e-05, -1.3895e-03, ..., -3.7212e-03, 5.0449e-04, -5.5838e-04], [ 1.7910e-03, -1.2035e-03, -2.0866e-03, ..., -1.3489e-02, -1.7786e-03, 1.6422e-03], ..., [-2.1820e-03, 3.6311e-04, -3.3131e-03, ..., -7.3290e-04, -9.5654e-04, 7.8306e-06], [ 1.4973e-03, -3.3784e-04, -8.9169e-04, ..., 2.5444e-03, -1.4839e-02, 1.0567e-03], [ 1.9503e-03, 7.6914e-04, 1.6546e-03, ..., 1.0658e-02, 5.4665e-03, 2.0065e-03]], device='cuda:0') Epoch 165, bias, value: tensor([-0.0224, 0.0274, 0.0042, -0.0107, 0.0207, -0.0284, 0.0100, -0.0061, -0.0005, -0.0111], device='cuda:0'), grad: tensor([-0.0090, -0.0142, -0.0334, 0.0280, -0.0081, -0.0282, 0.0143, -0.0043, -0.0081, 0.0630], device='cuda:0') 100 0.0001 changing lr epoch 164, time 214.25, cls_loss 0.6098 cls_loss_mapping 0.0081 cls_loss_causal 0.5236 re_mapping 0.0125 re_causal 0.0278 /// teacc 98.66 lr 0.00010000 Epoch 166, weight, value: tensor([[-0.0663, -0.0932, -0.0816, ..., -0.0304, 0.0465, -0.0892], [-0.0551, -0.0757, -0.0506, ..., 0.0969, -0.0338, 0.1793], [ 0.0138, -0.0205, -0.0283, ..., -0.0121, -0.0105, -0.0579], ..., [ 0.0214, -0.0790, 0.1347, ..., 0.0203, -0.0648, 0.0373], [-0.0279, 0.0486, -0.1191, ..., -0.0481, 0.0095, -0.0726], [-0.0534, 0.0661, 0.0516, ..., -0.0462, -0.0338, -0.0146]], device='cuda:0'), grad: tensor([[ 5.7518e-06, -1.0468e-02, -1.2123e-02, ..., -1.1383e-02, 2.1648e-04, -5.9128e-04], [ 4.6372e-05, -1.1735e-05, 8.0156e-04, ..., 2.9907e-03, 2.7919e-04, -4.9591e-03], [-4.9114e-04, 1.4806e-04, 2.2435e-04, ..., -3.8033e-03, 2.7132e-04, 4.1318e-04], ..., [ 3.0965e-05, 1.0842e-04, 1.9121e-04, ..., 6.0425e-03, 2.8968e-04, 5.6887e-04], [ 2.3878e-04, 1.0433e-03, 2.0618e-03, ..., 4.0802e-02, 2.5368e-04, 2.1553e-03], [ 6.9067e-06, 1.3125e-04, -3.1109e-03, ..., -6.1750e-04, 3.6430e-04, -6.0606e-04]], device='cuda:0') Epoch 166, bias, value: tensor([-0.0234, 0.0277, 0.0037, -0.0098, 0.0209, -0.0288, 0.0097, -0.0063, 0.0003, -0.0111], device='cuda:0'), grad: tensor([-0.0220, 0.0021, -0.0091, 0.0350, 0.0222, -0.0729, -0.0136, 0.0165, 0.0416, 0.0002], device='cuda:0') 100 0.0001 changing lr epoch 165, time 213.91, cls_loss 0.6014 cls_loss_mapping 0.0072 cls_loss_causal 0.5102 re_mapping 0.0126 re_causal 0.0298 /// teacc 98.58 lr 0.00010000 Epoch 167, weight, value: tensor([[-0.0660, -0.0931, -0.0803, ..., -0.0289, 0.0477, -0.0897], [-0.0566, -0.0754, -0.0513, ..., 0.0956, -0.0331, 0.1813], [ 0.0146, -0.0209, -0.0287, ..., -0.0116, -0.0105, -0.0589], ..., [ 0.0212, -0.0786, 0.1354, ..., 0.0204, -0.0640, 0.0368], [-0.0292, 0.0483, -0.1206, ..., -0.0486, 0.0092, -0.0729], [-0.0540, 0.0658, 0.0519, ..., -0.0463, -0.0342, -0.0144]], device='cuda:0'), grad: tensor([[-0.0004, -0.0012, 0.0010, ..., -0.0035, -0.0020, 0.0018], [ 0.0002, 0.0005, 0.0056, ..., 0.0186, 0.0019, 0.0100], [-0.0010, 0.0012, 0.0029, ..., 0.0004, 0.0018, 0.0007], ..., [ 0.0003, 0.0005, -0.0132, ..., -0.0031, -0.0025, -0.0227], [ 0.0004, 0.0016, 0.0016, ..., 0.0073, 0.0021, 0.0003], [ 0.0002, 0.0009, 0.0051, ..., -0.0439, 0.0004, 0.0163]], device='cuda:0') Epoch 167, bias, value: tensor([-0.0220, 0.0269, 0.0039, -0.0109, 0.0205, -0.0280, 0.0096, -0.0053, -0.0003, -0.0114], device='cuda:0'), grad: tensor([-0.0186, 0.0483, 0.0039, -0.0298, 0.0054, -0.0036, 0.0434, -0.0222, 0.0219, -0.0486], device='cuda:0') 100 0.0001 changing lr epoch 166, time 213.82, cls_loss 0.6109 cls_loss_mapping 0.0077 cls_loss_causal 0.5288 re_mapping 0.0119 re_causal 0.0279 /// teacc 98.50 lr 0.00010000 Epoch 168, weight, value: tensor([[-0.0660, -0.0927, -0.0807, ..., -0.0305, 0.0491, -0.0898], [-0.0567, -0.0760, -0.0514, ..., 0.0952, -0.0315, 0.1815], [ 0.0148, -0.0210, -0.0300, ..., -0.0117, -0.0101, -0.0599], ..., [ 0.0209, -0.0783, 0.1370, ..., 0.0209, -0.0651, 0.0377], [-0.0305, 0.0485, -0.1224, ..., -0.0487, 0.0087, -0.0729], [-0.0534, 0.0651, 0.0512, ..., -0.0448, -0.0339, -0.0148]], device='cuda:0'), grad: tensor([[ 2.0966e-05, 8.9931e-04, 2.4548e-03, ..., 2.7943e-03, 5.4016e-02, 1.6487e-04], [ 4.9919e-05, -1.8656e-04, -6.9332e-04, ..., -5.6038e-03, 3.3188e-04, -5.2261e-04], [ 7.9155e-05, 3.3355e-04, 2.9907e-03, ..., -7.0572e-04, 1.2150e-03, 1.3006e-04], ..., [-4.1175e-04, 1.4782e-04, -4.8485e-03, ..., -1.2436e-02, -2.5487e-04, -5.2643e-04], [ 3.7760e-05, -5.7268e-04, 1.6518e-03, ..., 6.3591e-03, -5.4596e-02, 2.0802e-05], [ 1.6963e-04, 4.0698e-04, 9.0742e-04, ..., 7.4539e-03, 9.5654e-04, -4.4823e-04]], device='cuda:0') Epoch 168, bias, value: tensor([-0.0229, 0.0264, 0.0038, -0.0096, 0.0194, -0.0282, 0.0098, -0.0047, -0.0007, -0.0104], device='cuda:0'), grad: tensor([ 0.0197, -0.0059, -0.0009, 0.0081, -0.0474, 0.0148, 0.0284, -0.0289, -0.0112, 0.0233], device='cuda:0') 100 0.0001 changing lr epoch 167, time 214.24, cls_loss 0.6114 cls_loss_mapping 0.0090 cls_loss_causal 0.5300 re_mapping 0.0124 re_causal 0.0287 /// teacc 98.53 lr 0.00010000 Epoch 169, weight, value: tensor([[-0.0670, -0.0929, -0.0808, ..., -0.0309, 0.0500, -0.0901], [-0.0574, -0.0760, -0.0512, ..., 0.0959, -0.0288, 0.1825], [ 0.0156, -0.0217, -0.0294, ..., -0.0115, -0.0109, -0.0608], ..., [ 0.0207, -0.0788, 0.1360, ..., 0.0203, -0.0670, 0.0379], [-0.0305, 0.0484, -0.1221, ..., -0.0481, 0.0097, -0.0735], [-0.0522, 0.0654, 0.0523, ..., -0.0448, -0.0358, -0.0141]], device='cuda:0'), grad: tensor([[ 9.1940e-06, 1.7500e-04, 5.1212e-04, ..., 3.8338e-03, 2.3651e-04, 9.7454e-05], [ 1.9133e-05, -1.5545e-03, -7.7438e-04, ..., -1.4351e-02, -3.6392e-03, -1.0328e-03], [ 9.0361e-05, 9.4461e-04, 4.6768e-03, ..., -6.7329e-03, 1.1806e-03, 3.3641e-04], ..., [ 1.5771e-04, 7.7629e-04, -6.3133e-03, ..., -5.2948e-03, 2.9039e-04, -6.5379e-06], [-1.0195e-03, -1.6678e-02, -1.1765e-02, ..., 3.8223e-03, 1.4477e-03, -1.5962e-04], [ 6.3753e-04, 1.5976e-02, 1.0452e-02, ..., -3.4733e-03, -1.2360e-03, 9.0933e-04]], device='cuda:0') Epoch 169, bias, value: tensor([-0.0229, 0.0270, 0.0033, -0.0097, 0.0191, -0.0281, 0.0096, -0.0052, 0.0004, -0.0106], device='cuda:0'), grad: tensor([ 0.0104, -0.0273, -0.0358, 0.0291, 0.0105, 0.0062, 0.0138, -0.0081, -0.0174, 0.0184], device='cuda:0') 100 0.0001 changing lr epoch 168, time 213.98, cls_loss 0.5814 cls_loss_mapping 0.0077 cls_loss_causal 0.5032 re_mapping 0.0121 re_causal 0.0280 /// teacc 98.60 lr 0.00010000 Epoch 170, weight, value: tensor([[-0.0686, -0.0937, -0.0815, ..., -0.0306, 0.0494, -0.0896], [-0.0581, -0.0757, -0.0495, ..., 0.0967, -0.0296, 0.1845], [ 0.0147, -0.0216, -0.0305, ..., -0.0120, -0.0117, -0.0618], ..., [ 0.0196, -0.0788, 0.1368, ..., 0.0202, -0.0655, 0.0374], [-0.0299, 0.0481, -0.1241, ..., -0.0487, 0.0095, -0.0731], [-0.0536, 0.0653, 0.0519, ..., -0.0445, -0.0369, -0.0150]], device='cuda:0'), grad: tensor([[ 9.6709e-06, 2.4652e-04, 6.8331e-04, ..., 3.6354e-03, 1.6713e-04, 2.3246e-04], [ 4.4584e-05, 4.9162e-04, 1.0462e-03, ..., -2.7313e-03, 3.8171e-04, -1.4496e-03], [-7.2360e-05, -1.6451e-03, -4.4365e-03, ..., -4.7188e-03, -7.1049e-04, 5.3501e-04], ..., [-3.9518e-05, -6.3229e-04, 5.3310e-04, ..., -2.8973e-03, -8.1062e-04, -6.5207e-05], [ 5.1212e-04, 4.4703e-04, -1.8501e-03, ..., 1.6241e-03, 3.1796e-03, -1.2207e-03], [ 1.5652e-04, 2.0933e-04, -1.6508e-03, ..., -8.6498e-04, -2.3193e-03, 4.5538e-04]], device='cuda:0') Epoch 170, bias, value: tensor([-0.0225, 0.0277, 0.0029, -0.0085, 0.0194, -0.0283, 0.0089, -0.0063, 0.0003, -0.0108], device='cuda:0'), grad: tensor([ 0.0111, -0.0102, -0.0098, 0.0017, 0.0182, -0.0168, 0.0152, -0.0060, 0.0023, -0.0055], device='cuda:0') 100 0.0001 changing lr epoch 169, time 214.24, cls_loss 0.5749 cls_loss_mapping 0.0078 cls_loss_causal 0.4880 re_mapping 0.0125 re_causal 0.0270 /// teacc 98.61 lr 0.00010000 Epoch 171, weight, value: tensor([[-0.0690, -0.0943, -0.0810, ..., -0.0305, 0.0496, -0.0899], [-0.0581, -0.0759, -0.0500, ..., 0.0965, -0.0296, 0.1842], [ 0.0153, -0.0196, -0.0307, ..., -0.0123, -0.0118, -0.0618], ..., [ 0.0201, -0.0795, 0.1377, ..., 0.0207, -0.0654, 0.0383], [-0.0314, 0.0476, -0.1253, ..., -0.0488, 0.0083, -0.0731], [-0.0524, 0.0660, 0.0507, ..., -0.0459, -0.0370, -0.0156]], device='cuda:0'), grad: tensor([[ 2.5500e-06, -1.4753e-03, -2.2049e-03, ..., -1.5312e-02, 9.8133e-04, 3.4785e-04], [ 8.0988e-06, 1.6677e-04, 1.3742e-03, ..., 3.9062e-03, 1.2279e-04, -1.4477e-03], [ 5.8711e-05, 7.9155e-04, 2.9449e-03, ..., 6.2447e-03, 5.4216e-04, 5.2357e-04], ..., [-5.7280e-05, 1.2455e-03, 3.1796e-03, ..., 6.2828e-03, 1.7774e-04, 3.8624e-04], [ 2.6226e-05, 3.7289e-03, 2.5578e-03, ..., 3.7136e-03, 6.4564e-04, 4.4107e-04], [ 7.4096e-06, -7.0648e-03, -1.7395e-02, ..., -1.9257e-02, -5.9891e-03, 5.6267e-04]], device='cuda:0') Epoch 171, bias, value: tensor([-0.0221, 0.0283, 0.0029, -0.0083, 0.0197, -0.0281, 0.0082, -0.0058, -0.0002, -0.0116], device='cuda:0'), grad: tensor([-0.0429, 0.0146, 0.0209, 0.0289, -0.0174, -0.0113, 0.0257, 0.0247, 0.0213, -0.0645], device='cuda:0') 100 0.0001 changing lr epoch 170, time 214.05, cls_loss 0.6002 cls_loss_mapping 0.0081 cls_loss_causal 0.5238 re_mapping 0.0129 re_causal 0.0278 /// teacc 98.63 lr 0.00010000 Epoch 172, weight, value: tensor([[-0.0703, -0.0945, -0.0797, ..., -0.0316, 0.0494, -0.0887], [-0.0581, -0.0764, -0.0509, ..., 0.0963, -0.0298, 0.1846], [ 0.0149, -0.0189, -0.0306, ..., -0.0110, -0.0116, -0.0633], ..., [ 0.0197, -0.0799, 0.1366, ..., 0.0208, -0.0657, 0.0387], [-0.0326, 0.0482, -0.1244, ..., -0.0489, 0.0086, -0.0733], [-0.0515, 0.0659, 0.0511, ..., -0.0457, -0.0373, -0.0167]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 1.3602e-04, -1.9550e-03, ..., 6.9046e-04, -4.0197e-04, -1.5497e-03], [ 0.0000e+00, 2.2936e-04, 1.1454e-03, ..., 1.0170e-02, 1.4315e-03, 1.5535e-03], [ 2.7940e-09, 1.3332e-03, 1.8654e-03, ..., -3.5095e-03, 9.6321e-04, 2.5821e-04], ..., [ 0.0000e+00, 3.7980e-04, 1.8101e-03, ..., 1.0704e-02, 9.8896e-04, 1.6050e-03], [ 3.7253e-09, 1.5129e-02, 5.2500e-04, ..., -8.5068e-03, 3.7975e-03, -5.4779e-03], [ 0.0000e+00, 4.9448e-04, 1.6117e-03, ..., 1.1284e-02, 1.4257e-03, 2.3251e-03]], device='cuda:0') Epoch 172, bias, value: tensor([-0.0227, 0.0280, 0.0041, -0.0086, 0.0195, -0.0283, 0.0084, -0.0058, -0.0005, -0.0112], device='cuda:0'), grad: tensor([ 0.0069, 0.0344, -0.0157, 0.0006, 0.0018, 0.0052, -0.0663, 0.0125, -0.0163, 0.0368], device='cuda:0') 100 0.0001 changing lr epoch 171, time 214.07, cls_loss 0.5918 cls_loss_mapping 0.0100 cls_loss_causal 0.4966 re_mapping 0.0129 re_causal 0.0276 /// teacc 98.59 lr 0.00010000 Epoch 173, weight, value: tensor([[-0.0692, -0.0940, -0.0798, ..., -0.0313, 0.0493, -0.0898], [-0.0581, -0.0764, -0.0515, ..., 0.0967, -0.0308, 0.1843], [ 0.0142, -0.0196, -0.0294, ..., -0.0111, -0.0122, -0.0619], ..., [ 0.0196, -0.0800, 0.1374, ..., 0.0224, -0.0656, 0.0395], [-0.0317, 0.0477, -0.1243, ..., -0.0496, 0.0095, -0.0733], [-0.0516, 0.0659, 0.0504, ..., -0.0450, -0.0372, -0.0160]], device='cuda:0'), grad: tensor([[-5.9090e-03, 1.1247e-04, 2.1706e-03, ..., -1.1757e-02, 1.1797e-03, 6.1846e-04], [ 2.0103e-03, 5.0753e-05, 2.1038e-03, ..., 1.1871e-02, 6.6566e-04, 1.6594e-03], [ 1.4801e-03, 2.9755e-04, 1.2388e-03, ..., 7.0152e-03, -4.9896e-03, 1.7166e-03], ..., [-8.5413e-05, -8.4829e-04, -3.3321e-03, ..., 4.7112e-03, 1.1587e-03, -2.5654e-03], [-1.9324e-04, 2.2554e-04, -1.8559e-03, ..., -5.0163e-03, 1.4944e-03, -7.0477e-04], [ 7.3147e-04, -6.9714e-04, -4.0770e-04, ..., 1.6222e-03, 7.2527e-04, 1.8339e-03]], device='cuda:0') Epoch 173, bias, value: tensor([-0.0224, 0.0281, 0.0036, -0.0089, 0.0192, -0.0284, 0.0081, -0.0041, -0.0011, -0.0112], device='cuda:0'), grad: tensor([-0.0119, 0.0305, 0.0139, -0.0007, -0.0499, 0.0225, -0.0170, 0.0192, -0.0113, 0.0046], device='cuda:0') 100 0.0001 changing lr epoch 172, time 214.46, cls_loss 0.5987 cls_loss_mapping 0.0086 cls_loss_causal 0.5133 re_mapping 0.0127 re_causal 0.0278 /// teacc 98.64 lr 0.00010000 Epoch 174, weight, value: tensor([[-0.0689, -0.0946, -0.0805, ..., -0.0299, 0.0492, -0.0895], [-0.0601, -0.0773, -0.0513, ..., 0.0964, -0.0303, 0.1838], [ 0.0143, -0.0197, -0.0293, ..., -0.0114, -0.0127, -0.0622], ..., [ 0.0211, -0.0797, 0.1376, ..., 0.0228, -0.0664, 0.0396], [-0.0317, 0.0480, -0.1254, ..., -0.0501, 0.0096, -0.0725], [-0.0507, 0.0654, 0.0504, ..., -0.0454, -0.0382, -0.0168]], device='cuda:0'), grad: tensor([[ 6.0469e-05, 3.0541e-04, 1.4944e-03, ..., 4.1847e-03, -8.6880e-04, 2.3887e-05], [ 2.7835e-05, 3.1501e-05, -1.0567e-02, ..., -6.0387e-03, -2.2078e-04, -2.1038e-03], [ 2.0771e-03, 2.6512e-03, 8.3389e-03, ..., 5.6305e-03, 2.0542e-03, 9.0837e-04], ..., [-1.9875e-03, 1.9217e-04, -1.9064e-03, ..., -6.4735e-03, 1.6856e-04, -8.3542e-04], [ 7.8499e-05, 7.6580e-04, 1.0653e-03, ..., -2.6131e-03, 2.3758e-04, 1.3173e-04], [ 2.0540e-04, 3.1447e-04, -2.4261e-03, ..., -3.4924e-03, -6.4898e-04, 8.9550e-04]], device='cuda:0') Epoch 174, bias, value: tensor([-0.0218, 0.0277, 0.0039, -0.0090, 0.0199, -0.0286, 0.0083, -0.0047, -0.0016, -0.0111], device='cuda:0'), grad: tensor([ 0.0125, -0.0151, 0.0239, -0.0104, 0.0075, 0.0099, 0.0169, -0.0201, -0.0160, -0.0090], device='cuda:0') 100 0.0001 changing lr epoch 173, time 214.18, cls_loss 0.6239 cls_loss_mapping 0.0089 cls_loss_causal 0.5474 re_mapping 0.0127 re_causal 0.0287 /// teacc 98.57 lr 0.00010000 Epoch 175, weight, value: tensor([[-0.0698, -0.0948, -0.0820, ..., -0.0298, 0.0490, -0.0893], [-0.0606, -0.0765, -0.0512, ..., 0.0968, -0.0304, 0.1832], [ 0.0160, -0.0190, -0.0293, ..., -0.0127, -0.0119, -0.0637], ..., [ 0.0205, -0.0798, 0.1379, ..., 0.0229, -0.0665, 0.0399], [-0.0320, 0.0480, -0.1259, ..., -0.0509, 0.0106, -0.0738], [-0.0524, 0.0650, 0.0509, ..., -0.0463, -0.0390, -0.0161]], device='cuda:0'), grad: tensor([[ 1.3806e-05, 2.5824e-05, 1.9097e-04, ..., 5.0697e-03, 1.7405e-05, 3.0994e-04], [-5.6219e-04, -1.6510e-04, 1.1927e-04, ..., -1.3397e-02, -1.5512e-05, -4.1389e-03], [ 2.6166e-05, 6.3241e-05, 3.0470e-04, ..., 5.5809e-03, 6.5565e-05, 3.2735e-04], ..., [ 1.9372e-05, 8.9645e-05, -2.6340e-03, ..., -3.9291e-03, 2.3946e-05, 3.2104e-02], [ 3.0494e-04, 1.5306e-03, 3.6526e-04, ..., 8.4839e-03, 3.4027e-03, 4.5204e-03], [-2.4259e-05, -1.8477e-05, 1.2474e-03, ..., -2.9125e-03, 3.8385e-05, 6.2637e-03]], device='cuda:0') Epoch 175, bias, value: tensor([-0.0223, 0.0284, 0.0029, -0.0079, 0.0203, -0.0284, 0.0086, -0.0052, -0.0017, -0.0117], device='cuda:0'), grad: tensor([ 0.0184, -0.0220, 0.0179, 0.0106, -0.0635, 0.0084, 0.0073, 0.0008, 0.0231, -0.0012], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 174---------------------------------------------------- epoch 174, time 230.55, cls_loss 0.5745 cls_loss_mapping 0.0084 cls_loss_causal 0.4976 re_mapping 0.0124 re_causal 0.0282 /// teacc 98.69 lr 0.00010000 Epoch 176, weight, value: tensor([[-0.0709, -0.0953, -0.0832, ..., -0.0307, 0.0490, -0.0903], [-0.0611, -0.0767, -0.0515, ..., 0.0966, -0.0306, 0.1833], [ 0.0172, -0.0183, -0.0285, ..., -0.0127, -0.0109, -0.0618], ..., [ 0.0202, -0.0804, 0.1377, ..., 0.0234, -0.0674, 0.0383], [-0.0323, 0.0475, -0.1272, ..., -0.0514, 0.0106, -0.0756], [-0.0529, 0.0653, 0.0519, ..., -0.0468, -0.0392, -0.0146]], device='cuda:0'), grad: tensor([[ 4.0978e-08, 1.1530e-03, 1.0052e-03, ..., 2.8934e-03, 3.7122e-04, 7.4387e-04], [ 8.0094e-08, -2.8491e-04, 5.3549e-04, ..., 1.3943e-03, 1.6856e-04, -1.9836e-03], [ 4.3865e-07, 1.4365e-04, 7.2718e-04, ..., 2.5101e-03, 2.6107e-05, 3.9148e-04], ..., [-1.3094e-06, -1.4553e-03, -1.6373e-02, ..., -9.9945e-04, 3.0184e-04, -1.0544e-02], [-1.5851e-06, 1.4000e-02, 1.0662e-03, ..., 2.5177e-03, 1.7440e-04, 2.1291e-04], [ 8.3819e-08, 3.8548e-03, 1.7319e-02, ..., 6.1150e-03, 2.1613e-04, 9.8801e-03]], device='cuda:0') Epoch 176, bias, value: tensor([-0.0231, 0.0288, 0.0028, -0.0076, 0.0206, -0.0292, 0.0103, -0.0047, -0.0027, -0.0121], device='cuda:0'), grad: tensor([ 0.0127, 0.0045, -0.0170, -0.0107, -0.0547, -0.0070, -0.0024, 0.0125, 0.0329, 0.0293], device='cuda:0') 100 0.0001 changing lr epoch 175, time 214.51, cls_loss 0.5774 cls_loss_mapping 0.0070 cls_loss_causal 0.5013 re_mapping 0.0125 re_causal 0.0277 /// teacc 98.59 lr 0.00010000 Epoch 177, weight, value: tensor([[-0.0713, -0.0955, -0.0830, ..., -0.0299, 0.0485, -0.0889], [-0.0605, -0.0771, -0.0525, ..., 0.0966, -0.0295, 0.1833], [ 0.0171, -0.0185, -0.0274, ..., -0.0128, -0.0104, -0.0624], ..., [ 0.0199, -0.0807, 0.1376, ..., 0.0228, -0.0680, 0.0382], [-0.0327, 0.0481, -0.1273, ..., -0.0516, 0.0108, -0.0729], [-0.0541, 0.0652, 0.0517, ..., -0.0462, -0.0391, -0.0154]], device='cuda:0'), grad: tensor([[ 6.6471e-04, 4.9019e-04, 2.5425e-03, ..., 6.3171e-03, 8.3256e-04, 1.6508e-03], [ 8.9109e-05, 5.1856e-05, -3.3647e-05, ..., -8.8882e-04, 1.8978e-04, -2.4390e-04], [ 1.4806e-04, 1.3666e-03, -7.5674e-04, ..., -1.0124e-02, -2.1350e-04, -8.4972e-04], ..., [ 1.7715e-04, 1.5688e-04, 1.2026e-03, ..., 5.4474e-03, 2.9397e-04, 5.2881e-04], [ 4.8470e-04, 1.5173e-03, 7.9918e-04, ..., 5.3978e-03, 6.1893e-04, 1.0128e-03], [-9.1076e-04, -9.0885e-04, -2.5463e-03, ..., 4.2229e-03, -6.0129e-04, -2.8820e-03]], device='cuda:0') Epoch 177, bias, value: tensor([-0.0225, 0.0290, 0.0035, -0.0089, 0.0206, -0.0291, 0.0097, -0.0056, -0.0028, -0.0109], device='cuda:0'), grad: tensor([ 0.0303, -0.0086, -0.0311, 0.0073, -0.0333, -0.0421, 0.0175, 0.0269, 0.0267, 0.0065], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 176---------------------------------------------------- epoch 176, time 230.63, cls_loss 0.5973 cls_loss_mapping 0.0063 cls_loss_causal 0.5171 re_mapping 0.0122 re_causal 0.0276 /// teacc 98.70 lr 0.00010000 Epoch 178, weight, value: tensor([[-0.0725, -0.0949, -0.0824, ..., -0.0298, 0.0499, -0.0904], [-0.0607, -0.0775, -0.0523, ..., 0.0968, -0.0318, 0.1832], [ 0.0168, -0.0187, -0.0279, ..., -0.0133, -0.0099, -0.0621], ..., [ 0.0202, -0.0807, 0.1381, ..., 0.0232, -0.0686, 0.0397], [-0.0334, 0.0478, -0.1262, ..., -0.0517, 0.0113, -0.0734], [-0.0549, 0.0661, 0.0520, ..., -0.0469, -0.0399, -0.0156]], device='cuda:0'), grad: tensor([[ 3.1963e-06, 1.6379e-04, 4.9882e-06, ..., 2.9716e-03, 2.7485e-03, 3.3788e-06], [ 5.0571e-07, 5.0843e-05, 1.0721e-05, ..., 2.7122e-03, 2.7294e-03, -1.4853e-04], [ 4.3660e-05, -1.4007e-04, 7.6652e-05, ..., -4.1275e-03, -3.6163e-03, 2.5451e-05], ..., [ 3.3509e-06, 2.6941e-04, 1.4877e-04, ..., -4.9934e-03, -2.1782e-03, 1.8632e-04], [ 8.8513e-05, -1.3056e-03, -1.6956e-03, ..., 1.3676e-03, 3.6812e-03, -6.7115e-05], [-1.1331e-04, 8.3590e-04, 5.4979e-04, ..., -2.9049e-03, 1.1438e-04, 7.5877e-05]], device='cuda:0') Epoch 178, bias, value: tensor([-0.0219, 0.0291, 0.0026, -0.0092, 0.0215, -0.0283, 0.0094, -0.0058, -0.0028, -0.0114], device='cuda:0'), grad: tensor([ 0.0219, 0.0177, -0.0103, -0.0095, 0.0220, -0.0303, 0.0185, -0.0251, 0.0355, -0.0404], device='cuda:0') 100 0.0001 changing lr epoch 177, time 214.50, cls_loss 0.6163 cls_loss_mapping 0.0062 cls_loss_causal 0.5338 re_mapping 0.0118 re_causal 0.0272 /// teacc 98.57 lr 0.00010000 Epoch 179, weight, value: tensor([[-0.0726, -0.0941, -0.0818, ..., -0.0301, 0.0488, -0.0890], [-0.0602, -0.0780, -0.0527, ..., 0.0957, -0.0309, 0.1831], [ 0.0155, -0.0182, -0.0279, ..., -0.0121, -0.0093, -0.0617], ..., [ 0.0228, -0.0813, 0.1381, ..., 0.0235, -0.0684, 0.0390], [-0.0349, 0.0476, -0.1270, ..., -0.0523, 0.0093, -0.0732], [-0.0556, 0.0666, 0.0518, ..., -0.0474, -0.0395, -0.0157]], device='cuda:0'), grad: tensor([[ 1.9073e-05, 6.8173e-07, 6.9998e-06, ..., 2.3689e-03, 1.4820e-03, 1.5154e-03], [ 1.1843e-04, 3.2842e-05, 1.0931e-04, ..., -2.1019e-03, 4.1866e-04, 1.8435e-03], [-2.1994e-04, 1.2779e-04, -1.1027e-04, ..., -8.9569e-03, -9.5224e-04, 8.7214e-04], ..., [ 1.5810e-05, 3.4124e-06, -2.5916e-04, ..., -9.2621e-03, 6.9320e-05, -1.5930e-02], [-2.6837e-05, -4.1080e-04, 3.0547e-05, ..., 2.6474e-03, 1.1075e-04, 2.5139e-03], [ 5.5581e-05, 9.6858e-05, 1.0186e-04, ..., 3.1586e-03, 1.5283e-04, 2.1324e-03]], device='cuda:0') Epoch 179, bias, value: tensor([-0.0222, 0.0290, 0.0034, -0.0096, 0.0219, -0.0285, 0.0095, -0.0053, -0.0038, -0.0111], device='cuda:0'), grad: tensor([ 0.0166, -0.0125, -0.0198, 0.0060, -0.0159, 0.0150, 0.0354, -0.0244, 0.0064, -0.0070], device='cuda:0') 100 0.0001 changing lr epoch 178, time 214.32, cls_loss 0.5902 cls_loss_mapping 0.0070 cls_loss_causal 0.5095 re_mapping 0.0124 re_causal 0.0283 /// teacc 98.58 lr 0.00010000 Epoch 180, weight, value: tensor([[-0.0748, -0.0947, -0.0823, ..., -0.0302, 0.0489, -0.0890], [-0.0604, -0.0770, -0.0534, ..., 0.0964, -0.0318, 0.1827], [ 0.0157, -0.0189, -0.0291, ..., -0.0118, -0.0104, -0.0617], ..., [ 0.0228, -0.0818, 0.1388, ..., 0.0239, -0.0679, 0.0400], [-0.0349, 0.0479, -0.1276, ..., -0.0522, 0.0091, -0.0727], [-0.0544, 0.0662, 0.0519, ..., -0.0474, -0.0383, -0.0159]], device='cuda:0'), grad: tensor([[ 1.7095e-04, 3.4618e-04, 2.9182e-04, ..., -5.7030e-03, 2.8872e-04, 7.9679e-04], [ 2.3341e-04, -2.9621e-03, 3.0112e-04, ..., -1.0628e-02, -5.2786e-04, -2.3861e-03], [ 7.1621e-04, -1.0836e-04, 1.1816e-03, ..., 5.9967e-03, -4.5323e-04, 2.5883e-03], ..., [ 1.8158e-03, 8.3065e-04, 3.5934e-03, ..., 8.4305e-03, 7.3671e-05, 3.1776e-03], [ 3.0499e-03, 3.8891e-03, 3.0403e-03, ..., 9.3994e-03, 4.3440e-04, 5.3253e-03], [-3.2997e-03, 1.6823e-03, -8.7967e-03, ..., -7.8201e-04, 7.7963e-05, -2.8000e-03]], device='cuda:0') Epoch 180, bias, value: tensor([-0.0227, 0.0287, 0.0042, -0.0113, 0.0205, -0.0284, 0.0102, -0.0039, -0.0030, -0.0112], device='cuda:0'), grad: tensor([-0.0177, -0.0317, 0.0226, -0.0227, 0.0111, 0.0121, -0.0232, 0.0303, 0.0264, -0.0073], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 179---------------------------------------------------- epoch 179, time 230.73, cls_loss 0.5837 cls_loss_mapping 0.0056 cls_loss_causal 0.5102 re_mapping 0.0119 re_causal 0.0281 /// teacc 98.73 lr 0.00010000 Epoch 181, weight, value: tensor([[-0.0765, -0.0962, -0.0816, ..., -0.0295, 0.0479, -0.0876], [-0.0613, -0.0756, -0.0535, ..., 0.0972, -0.0307, 0.1828], [ 0.0163, -0.0199, -0.0296, ..., -0.0128, -0.0098, -0.0627], ..., [ 0.0225, -0.0827, 0.1389, ..., 0.0231, -0.0692, 0.0406], [-0.0348, 0.0485, -0.1287, ..., -0.0531, 0.0082, -0.0740], [-0.0523, 0.0657, 0.0524, ..., -0.0461, -0.0393, -0.0161]], device='cuda:0'), grad: tensor([[-2.8133e-03, -2.1210e-03, -2.6093e-03, ..., -7.0915e-03, 7.6115e-05, -5.5361e-04], [ 1.2982e-04, 1.8525e-04, 2.8563e-04, ..., 7.2861e-03, 4.1798e-06, 5.8975e-03], [ 5.5599e-04, 5.7983e-04, 6.7043e-04, ..., -1.3132e-03, 6.0871e-06, -8.0347e-04], ..., [-4.8816e-05, 4.0207e-03, 7.1716e-04, ..., 4.2801e-03, 8.9034e-06, 4.2877e-03], [ 2.5153e-04, 1.4458e-03, 7.3004e-04, ..., -6.8741e-03, 5.9754e-05, -4.1733e-03], [ 2.9850e-04, -7.7972e-03, -2.1286e-03, ..., -2.0866e-03, 1.7807e-05, -6.8626e-03]], device='cuda:0') Epoch 181, bias, value: tensor([-0.0221, 0.0295, 0.0038, -0.0112, 0.0203, -0.0285, 0.0101, -0.0048, -0.0038, -0.0101], device='cuda:0'), grad: tensor([-0.0230, 0.0051, -0.0117, -0.0127, 0.0126, 0.0120, 0.0205, 0.0180, -0.0142, -0.0065], device='cuda:0') 100 0.0001 changing lr epoch 180, time 214.48, cls_loss 0.5651 cls_loss_mapping 0.0068 cls_loss_causal 0.4787 re_mapping 0.0121 re_causal 0.0259 /// teacc 98.71 lr 0.00010000 Epoch 182, weight, value: tensor([[-0.0794, -0.0949, -0.0819, ..., -0.0311, 0.0492, -0.0875], [-0.0633, -0.0762, -0.0537, ..., 0.0971, -0.0308, 0.1835], [ 0.0156, -0.0195, -0.0287, ..., -0.0135, -0.0112, -0.0628], ..., [ 0.0248, -0.0835, 0.1388, ..., 0.0243, -0.0695, 0.0406], [-0.0353, 0.0495, -0.1302, ..., -0.0526, 0.0069, -0.0754], [-0.0531, 0.0648, 0.0529, ..., -0.0459, -0.0395, -0.0164]], device='cuda:0'), grad: tensor([[ 0.0004, 0.0003, -0.0010, ..., 0.0007, -0.0028, -0.0014], [ 0.0004, -0.0032, 0.0004, ..., -0.0042, 0.0002, -0.0040], [-0.0059, -0.0010, 0.0017, ..., -0.0042, 0.0007, -0.0004], ..., [ 0.0002, 0.0007, 0.0039, ..., 0.0060, 0.0006, 0.0038], [ 0.0007, 0.0016, 0.0015, ..., 0.0144, 0.0003, 0.0047], [ 0.0001, 0.0025, -0.0022, ..., -0.0136, -0.0025, 0.0014]], device='cuda:0') Epoch 182, bias, value: tensor([-0.0235, 0.0287, 0.0028, -0.0109, 0.0201, -0.0283, 0.0105, -0.0032, -0.0033, -0.0101], device='cuda:0'), grad: tensor([ 0.0094, -0.0029, -0.0002, 0.0320, -0.0309, 0.0162, -0.0259, 0.0312, 0.0414, -0.0703], device='cuda:0') 100 0.0001 changing lr epoch 181, time 214.08, cls_loss 0.6250 cls_loss_mapping 0.0082 cls_loss_causal 0.5457 re_mapping 0.0115 re_causal 0.0255 /// teacc 98.64 lr 0.00010000 Epoch 183, weight, value: tensor([[-0.0799, -0.0950, -0.0820, ..., -0.0322, 0.0498, -0.0887], [-0.0621, -0.0757, -0.0549, ..., 0.0969, -0.0296, 0.1845], [ 0.0148, -0.0193, -0.0290, ..., -0.0135, -0.0117, -0.0633], ..., [ 0.0239, -0.0840, 0.1388, ..., 0.0247, -0.0695, 0.0404], [-0.0354, 0.0492, -0.1306, ..., -0.0524, 0.0066, -0.0753], [-0.0531, 0.0654, 0.0532, ..., -0.0459, -0.0395, -0.0164]], device='cuda:0'), grad: tensor([[ 2.6035e-04, 6.7091e-04, 1.2140e-03, ..., 1.1765e-02, 4.9925e-04, 2.9397e-04], [ 5.3024e-04, -9.4986e-04, 1.6861e-03, ..., 7.3013e-03, -6.0558e-04, -2.5436e-05], [ 6.5470e-04, -1.3151e-03, 6.5079e-03, ..., 4.8218e-03, -1.3351e-03, 9.4986e-04], ..., [ 3.7074e-04, -2.3537e-03, -1.8524e-02, ..., -1.5762e-02, -4.4417e-04, -1.5926e-03], [-1.7185e-03, 2.1591e-03, 3.0155e-03, ..., 5.6763e-03, 1.0853e-03, -1.8561e-04], [ 4.0078e-04, -2.8515e-03, 1.4944e-03, ..., 9.7942e-04, -2.9335e-03, 6.6376e-04]], device='cuda:0') Epoch 183, bias, value: tensor([-0.0244, 0.0284, 0.0026, -0.0105, 0.0194, -0.0276, 0.0104, -0.0031, -0.0031, -0.0093], device='cuda:0'), grad: tensor([ 0.0335, 0.0277, -0.0092, 0.0063, -0.0063, 0.0396, -0.0715, -0.0408, 0.0171, 0.0035], device='cuda:0') 100 0.0001 changing lr epoch 182, time 214.13, cls_loss 0.5779 cls_loss_mapping 0.0060 cls_loss_causal 0.4966 re_mapping 0.0120 re_causal 0.0266 /// teacc 98.66 lr 0.00010000 Epoch 184, weight, value: tensor([[-0.0784, -0.0950, -0.0817, ..., -0.0314, 0.0495, -0.0883], [-0.0631, -0.0752, -0.0553, ..., 0.0954, -0.0287, 0.1850], [ 0.0139, -0.0202, -0.0302, ..., -0.0133, -0.0111, -0.0639], ..., [ 0.0251, -0.0847, 0.1386, ..., 0.0257, -0.0685, 0.0411], [-0.0358, 0.0489, -0.1311, ..., -0.0529, 0.0066, -0.0766], [-0.0533, 0.0659, 0.0539, ..., -0.0453, -0.0403, -0.0168]], device='cuda:0'), grad: tensor([[ 4.1425e-05, 8.4066e-04, 2.4855e-05, ..., -2.8419e-03, 1.5423e-05, 5.8651e-05], [ 3.3706e-05, 7.1764e-04, 1.9193e-05, ..., 6.4163e-03, 6.7726e-06, 4.5076e-06], [ 7.9803e-03, -1.0490e-03, 3.8958e-04, ..., -1.8219e-02, 4.1437e-04, -7.0524e-04], ..., [ 8.0287e-05, 4.6110e-04, 1.2171e-04, ..., -2.2697e-03, 8.3372e-06, 9.5725e-05], [-1.0590e-02, -1.9112e-03, -1.3275e-03, ..., 6.0730e-03, 6.4850e-05, 8.3566e-05], [ 4.9543e-04, 1.4801e-03, 4.5514e-04, ..., 7.6752e-03, 7.0155e-05, 9.3699e-05]], device='cuda:0') Epoch 184, bias, value: tensor([-0.0238, 0.0281, 0.0026, -0.0109, 0.0211, -0.0286, 0.0106, -0.0033, -0.0036, -0.0092], device='cuda:0'), grad: tensor([-1.6602e-02, 2.5787e-02, -5.0476e-02, 7.9651e-03, 4.2023e-02, -7.8726e-04, -7.5579e-05, -6.3049e-02, -3.6411e-03, 5.8838e-02], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 183---------------------------------------------------- epoch 183, time 231.12, cls_loss 0.6019 cls_loss_mapping 0.0071 cls_loss_causal 0.5192 re_mapping 0.0124 re_causal 0.0285 /// teacc 98.84 lr 0.00010000 Epoch 185, weight, value: tensor([[-0.0764, -0.0957, -0.0819, ..., -0.0318, 0.0489, -0.0890], [-0.0634, -0.0762, -0.0565, ..., 0.0956, -0.0292, 0.1856], [ 0.0137, -0.0186, -0.0295, ..., -0.0131, -0.0108, -0.0641], ..., [ 0.0266, -0.0860, 0.1386, ..., 0.0259, -0.0689, 0.0400], [-0.0362, 0.0500, -0.1309, ..., -0.0528, 0.0064, -0.0761], [-0.0534, 0.0653, 0.0533, ..., -0.0462, -0.0405, -0.0168]], device='cuda:0'), grad: tensor([[ 1.3745e-04, 1.2493e-04, 1.4555e-04, ..., 2.5806e-03, -6.6459e-05, 3.7718e-04], [ 2.4307e-04, 2.3022e-03, -2.5826e-03, ..., 1.2962e-02, 4.9807e-06, -9.6273e-04], [ 2.4581e-04, 1.0815e-03, 1.2484e-03, ..., 6.5155e-03, 1.2308e-05, 1.2426e-03], ..., [ 5.9223e-04, 9.1028e-04, -6.5804e-04, ..., 8.4381e-03, 4.9956e-06, -1.3828e-04], [ 1.0389e-04, -1.3573e-02, 7.0286e-04, ..., -2.6169e-02, -2.6166e-05, -5.2691e-04], [ 5.2357e-04, 8.8692e-04, 3.8872e-03, ..., 7.3767e-04, 8.9183e-06, 7.4310e-03]], device='cuda:0') Epoch 185, bias, value: tensor([-0.0239, 0.0284, 0.0044, -0.0105, 0.0205, -0.0282, 0.0095, -0.0027, -0.0043, -0.0102], device='cuda:0'), grad: tensor([ 0.0058, 0.0177, 0.0137, -0.0023, -0.0010, 0.0078, -0.0195, 0.0198, -0.0494, 0.0076], device='cuda:0') 100 0.0001 changing lr epoch 184, time 214.84, cls_loss 0.5941 cls_loss_mapping 0.0061 cls_loss_causal 0.5142 re_mapping 0.0116 re_causal 0.0280 /// teacc 98.73 lr 0.00010000 Epoch 186, weight, value: tensor([[-0.0762, -0.0968, -0.0830, ..., -0.0308, 0.0485, -0.0904], [-0.0626, -0.0751, -0.0553, ..., 0.0975, -0.0305, 0.1865], [ 0.0135, -0.0198, -0.0304, ..., -0.0136, -0.0106, -0.0633], ..., [ 0.0265, -0.0871, 0.1385, ..., 0.0253, -0.0696, 0.0405], [-0.0359, 0.0500, -0.1306, ..., -0.0519, 0.0067, -0.0766], [-0.0532, 0.0651, 0.0534, ..., -0.0470, -0.0409, -0.0174]], device='cuda:0'), grad: tensor([[ 2.6560e-04, 3.3882e-06, 2.2316e-04, ..., 4.6844e-03, -2.3305e-05, 1.3914e-03], [-6.0606e-04, 4.7714e-05, 4.7237e-05, ..., 3.1996e-04, 9.9182e-05, 1.2712e-03], [ 1.4019e-03, 1.2960e-03, 1.4448e-03, ..., -9.2087e-03, -1.3971e-04, 2.2030e-03], ..., [ 4.5242e-03, -2.7428e-03, 5.5046e-03, ..., 6.8130e-03, 3.4064e-05, 7.2098e-03], [ 5.1595e-06, -4.5943e-04, 2.2268e-04, ..., 4.0741e-03, 4.7237e-05, -1.5488e-03], [ 2.1946e-04, 2.9206e-04, 8.5640e-04, ..., -7.6065e-03, 1.1891e-05, -6.5880e-03]], device='cuda:0') Epoch 186, bias, value: tensor([-0.0238, 0.0299, 0.0040, -0.0109, 0.0207, -0.0283, 0.0085, -0.0036, -0.0035, -0.0102], device='cuda:0'), grad: tensor([ 0.0157, -0.0115, -0.0131, -0.0436, 0.0119, 0.0240, 0.0146, 0.0327, -0.0222, -0.0084], device='cuda:0') 100 0.0001 changing lr epoch 185, time 214.83, cls_loss 0.6060 cls_loss_mapping 0.0070 cls_loss_causal 0.5332 re_mapping 0.0120 re_causal 0.0271 /// teacc 98.58 lr 0.00010000 Epoch 187, weight, value: tensor([[-0.0749, -0.0965, -0.0827, ..., -0.0302, 0.0485, -0.0903], [-0.0620, -0.0728, -0.0549, ..., 0.0983, -0.0304, 0.1870], [ 0.0130, -0.0204, -0.0308, ..., -0.0133, -0.0108, -0.0620], ..., [ 0.0263, -0.0920, 0.1371, ..., 0.0245, -0.0702, 0.0394], [-0.0371, 0.0515, -0.1301, ..., -0.0515, 0.0076, -0.0755], [-0.0523, 0.0674, 0.0540, ..., -0.0468, -0.0419, -0.0170]], device='cuda:0'), grad: tensor([[ 2.9989e-07, -1.5745e-03, 2.2554e-04, ..., 3.9330e-03, -2.8515e-03, 1.1749e-03], [-1.8254e-06, 1.1568e-03, 4.2844e-04, ..., 1.1398e-02, 1.7770e-06, 3.3150e-03], [ 4.2506e-06, 9.8419e-04, 1.0290e-03, ..., 6.1760e-03, 1.1873e-04, 1.7710e-03], ..., [ 3.5465e-06, -2.2106e-03, -3.3760e-03, ..., -2.1362e-03, 4.5872e-04, -1.9293e-03], [-1.4551e-05, 1.3132e-03, 3.9840e-04, ..., 5.1765e-03, 1.2994e-04, 1.2455e-03], [ 1.2908e-06, -3.2768e-03, 1.2054e-03, ..., -3.7098e-03, 1.8620e-04, -4.4763e-05]], device='cuda:0') Epoch 187, bias, value: tensor([-0.0232, 0.0310, 0.0038, -0.0113, 0.0190, -0.0279, 0.0094, -0.0044, -0.0034, -0.0099], device='cuda:0'), grad: tensor([ 0.0051, 0.0322, 0.0191, -0.0137, 0.0163, -0.0195, -0.0435, 0.0018, 0.0160, -0.0136], device='cuda:0') 100 0.0001 changing lr epoch 186, time 215.19, cls_loss 0.5923 cls_loss_mapping 0.0070 cls_loss_causal 0.5163 re_mapping 0.0122 re_causal 0.0268 /// teacc 98.50 lr 0.00010000 Epoch 188, weight, value: tensor([[-0.0757, -0.0978, -0.0833, ..., -0.0299, 0.0487, -0.0903], [-0.0621, -0.0740, -0.0563, ..., 0.0990, -0.0306, 0.1863], [ 0.0128, -0.0199, -0.0309, ..., -0.0132, -0.0118, -0.0623], ..., [ 0.0262, -0.0904, 0.1379, ..., 0.0246, -0.0702, 0.0398], [-0.0374, 0.0519, -0.1291, ..., -0.0519, 0.0077, -0.0745], [-0.0513, 0.0665, 0.0527, ..., -0.0475, -0.0420, -0.0160]], device='cuda:0'), grad: tensor([[ 8.4460e-05, -6.0463e-04, -1.6966e-03, ..., -5.6534e-03, 2.0135e-06, -2.8229e-03], [ 7.0095e-04, 1.2875e-03, 1.2846e-03, ..., 7.5531e-03, 2.2352e-07, 1.1663e-03], [ 5.6362e-04, 1.8883e-03, 2.9302e-04, ..., 3.9825e-03, -1.3602e-04, 7.1716e-04], ..., [-1.2598e-03, 3.5362e-03, -1.0691e-03, ..., -1.0208e-02, 1.1139e-06, 1.0481e-03], [ 1.7319e-03, -1.1948e-02, -5.7411e-04, ..., -1.4122e-02, 2.4512e-06, -2.6550e-03], [ 1.6177e-04, -5.1918e-03, 5.8126e-04, ..., 4.2381e-03, 5.1409e-07, 1.8203e-04]], device='cuda:0') Epoch 188, bias, value: tensor([-0.0230, 0.0315, 0.0034, -0.0124, 0.0189, -0.0273, 0.0087, -0.0042, -0.0023, -0.0103], device='cuda:0'), grad: tensor([-0.0173, 0.0199, 0.0173, -0.0139, -0.0011, -0.0410, 0.0676, -0.0142, -0.0228, 0.0055], device='cuda:0') 100 0.0001 changing lr epoch 187, time 214.22, cls_loss 0.6344 cls_loss_mapping 0.0087 cls_loss_causal 0.5603 re_mapping 0.0117 re_causal 0.0258 /// teacc 98.53 lr 0.00010000 Epoch 189, weight, value: tensor([[-0.0754, -0.0983, -0.0827, ..., -0.0294, 0.0486, -0.0906], [-0.0621, -0.0742, -0.0579, ..., 0.0999, -0.0309, 0.1877], [ 0.0127, -0.0198, -0.0310, ..., -0.0131, -0.0111, -0.0636], ..., [ 0.0260, -0.0907, 0.1385, ..., 0.0234, -0.0715, 0.0401], [-0.0374, 0.0513, -0.1295, ..., -0.0519, 0.0076, -0.0755], [-0.0517, 0.0669, 0.0525, ..., -0.0479, -0.0408, -0.0160]], device='cuda:0'), grad: tensor([[ 6.9022e-05, 6.4039e-04, 1.9102e-03, ..., -4.8351e-04, 4.3586e-07, -2.4395e-03], [ 1.0281e-03, 1.6466e-05, 1.4410e-03, ..., -1.6220e-02, -1.7986e-03, 6.1226e-03], [ 2.7156e-04, 3.3641e-04, -4.9686e-04, ..., 1.5480e-02, 1.7586e-03, 4.5547e-03], ..., [-1.5373e-03, 5.6219e-04, 9.3603e-04, ..., -4.2915e-04, 3.7730e-05, -4.2000e-03], [-3.4046e-04, 4.9973e-04, 9.5034e-04, ..., 8.5373e-03, 1.2897e-05, 3.1700e-03], [ 2.5272e-04, 2.5120e-03, 9.1095e-03, ..., -1.0437e-02, 1.6317e-06, -7.3433e-04]], device='cuda:0') Epoch 189, bias, value: tensor([-0.0231, 0.0311, 0.0042, -0.0124, 0.0195, -0.0270, 0.0083, -0.0042, -0.0027, -0.0106], device='cuda:0'), grad: tensor([-0.0373, -0.0473, 0.0389, 0.0157, -0.0068, -0.0056, -0.0161, 0.0146, 0.0273, 0.0168], device='cuda:0') 100 0.0001 changing lr epoch 188, time 214.87, cls_loss 0.5974 cls_loss_mapping 0.0081 cls_loss_causal 0.5161 re_mapping 0.0122 re_causal 0.0269 /// teacc 98.74 lr 0.00010000 Epoch 190, weight, value: tensor([[-0.0744, -0.0975, -0.0812, ..., -0.0294, 0.0483, -0.0909], [-0.0623, -0.0746, -0.0589, ..., 0.0985, -0.0314, 0.1869], [ 0.0129, -0.0203, -0.0294, ..., -0.0130, -0.0113, -0.0625], ..., [ 0.0258, -0.0902, 0.1390, ..., 0.0241, -0.0714, 0.0419], [-0.0373, 0.0516, -0.1304, ..., -0.0516, 0.0074, -0.0763], [-0.0516, 0.0680, 0.0513, ..., -0.0471, -0.0403, -0.0166]], device='cuda:0'), grad: tensor([[ 4.8652e-06, 1.6336e-03, 1.7080e-03, ..., 6.1913e-03, -3.8184e-07, 1.0443e-03], [ 7.6413e-05, 3.1161e-04, 1.2894e-03, ..., 2.1152e-03, 0.0000e+00, -1.9875e-03], [ 2.8610e-05, 5.9557e-04, 1.3990e-03, ..., 6.5613e-03, 2.5332e-07, 7.3242e-04], ..., [ 1.9491e-05, 1.8387e-03, 1.1120e-03, ..., 6.9695e-03, 0.0000e+00, 5.8699e-04], [ 1.4327e-05, 1.8120e-03, 1.6022e-03, ..., 6.4507e-03, 7.4506e-09, 1.3876e-03], [ 5.9068e-05, -4.1542e-03, -1.6584e-03, ..., -4.8981e-03, 8.5682e-08, 1.4048e-03]], device='cuda:0') Epoch 190, bias, value: tensor([-0.0228, 0.0294, 0.0046, -0.0122, 0.0203, -0.0282, 0.0092, -0.0039, -0.0026, -0.0106], device='cuda:0'), grad: tensor([ 0.0177, 0.0124, 0.0197, -0.0054, 0.0110, -0.0634, -0.0002, 0.0219, 0.0195, -0.0332], device='cuda:0') 100 0.0001 changing lr epoch 189, time 215.01, cls_loss 0.6058 cls_loss_mapping 0.0064 cls_loss_causal 0.5231 re_mapping 0.0121 re_causal 0.0275 /// teacc 98.69 lr 0.00010000 Epoch 191, weight, value: tensor([[-0.0755, -0.0977, -0.0810, ..., -0.0304, 0.0496, -0.0903], [-0.0619, -0.0762, -0.0581, ..., 0.0999, -0.0317, 0.1887], [ 0.0130, -0.0199, -0.0298, ..., -0.0146, -0.0107, -0.0627], ..., [ 0.0257, -0.0908, 0.1392, ..., 0.0246, -0.0731, 0.0406], [-0.0363, 0.0519, -0.1294, ..., -0.0501, 0.0076, -0.0767], [-0.0514, 0.0681, 0.0504, ..., -0.0473, -0.0414, -0.0165]], device='cuda:0'), grad: tensor([[ 3.4738e-04, 7.5769e-04, 6.7425e-04, ..., 7.2899e-03, 1.8346e-04, 1.2636e-03], [-2.7084e-04, 8.5592e-05, -8.0204e-04, ..., -4.9019e-03, 4.8727e-05, -5.6219e-04], [ 6.1560e-04, -1.3745e-04, 2.1381e-03, ..., -2.4967e-03, 2.0191e-05, -2.0657e-03], ..., [-2.7466e-03, -6.0272e-03, -1.1749e-03, ..., -1.9592e-02, 4.2804e-06, -9.3937e-04], [ 1.1101e-03, 3.6001e-04, 3.4809e-04, ..., -8.6117e-04, -9.8896e-04, -2.6727e-04], [ 1.0996e-03, 1.6012e-03, 2.2373e-03, ..., 1.2199e-02, 4.9174e-06, 3.0041e-03]], device='cuda:0') Epoch 191, bias, value: tensor([-0.0237, 0.0304, 0.0033, -0.0128, 0.0212, -0.0282, 0.0097, -0.0044, -0.0021, -0.0104], device='cuda:0'), grad: tensor([ 0.0265, -0.0137, -0.0111, 0.0142, 0.0386, 0.0018, -0.0340, -0.0567, -0.0079, 0.0422], device='cuda:0') 100 0.0001 changing lr epoch 190, time 214.72, cls_loss 0.5986 cls_loss_mapping 0.0057 cls_loss_causal 0.5182 re_mapping 0.0120 re_causal 0.0271 /// teacc 98.76 lr 0.00010000 Epoch 192, weight, value: tensor([[-0.0763, -0.0974, -0.0808, ..., -0.0308, 0.0499, -0.0896], [-0.0629, -0.0759, -0.0591, ..., 0.0997, -0.0320, 0.1881], [ 0.0136, -0.0202, -0.0319, ..., -0.0138, -0.0114, -0.0627], ..., [ 0.0269, -0.0914, 0.1405, ..., 0.0245, -0.0729, 0.0409], [-0.0364, 0.0523, -0.1297, ..., -0.0507, 0.0097, -0.0762], [-0.0525, 0.0679, 0.0500, ..., -0.0466, -0.0423, -0.0169]], device='cuda:0'), grad: tensor([[ 2.5234e-03, -1.1168e-03, 1.3046e-03, ..., 1.5541e-02, -2.9049e-03, 8.3637e-04], [ 1.3857e-03, 6.8210e-06, 3.8242e-04, ..., 8.6212e-03, 1.7869e-04, 5.0354e-04], [ 1.6670e-03, 4.2140e-05, 3.7575e-04, ..., 1.3065e-03, 5.6839e-04, 3.0923e-04], ..., [ 1.1654e-03, 1.2271e-05, 3.8314e-04, ..., 2.4624e-03, 1.9670e-04, 1.1158e-03], [ 1.1206e-03, 2.3212e-03, 6.3705e-04, ..., -8.8739e-04, 4.7226e-03, 1.0185e-03], [ 1.1940e-03, 4.6611e-05, 5.8794e-04, ..., 7.8583e-03, 8.4162e-04, 6.4135e-04]], device='cuda:0') Epoch 192, bias, value: tensor([-0.0235, 0.0303, 0.0032, -0.0128, 0.0210, -0.0279, 0.0091, -0.0044, -0.0022, -0.0099], device='cuda:0'), grad: tensor([ 0.0451, 0.0278, 0.0157, -0.0543, 0.0185, -0.0660, -0.0187, 0.0002, 0.0022, 0.0294], device='cuda:0') 100 0.0001 changing lr epoch 191, time 214.60, cls_loss 0.5947 cls_loss_mapping 0.0047 cls_loss_causal 0.5228 re_mapping 0.0119 re_causal 0.0267 /// teacc 98.70 lr 0.00010000 Epoch 193, weight, value: tensor([[-0.0771, -0.0985, -0.0805, ..., -0.0313, 0.0494, -0.0902], [-0.0629, -0.0764, -0.0586, ..., 0.1000, -0.0309, 0.1878], [ 0.0128, -0.0177, -0.0315, ..., -0.0144, -0.0112, -0.0627], ..., [ 0.0278, -0.0917, 0.1407, ..., 0.0248, -0.0734, 0.0410], [-0.0362, 0.0522, -0.1316, ..., -0.0507, 0.0098, -0.0768], [-0.0530, 0.0679, 0.0497, ..., -0.0465, -0.0413, -0.0171]], device='cuda:0'), grad: tensor([[ 0.0011, 0.0034, 0.0127, ..., 0.0018, 0.0109, 0.0007], [ 0.0004, 0.0003, -0.0029, ..., -0.0033, 0.0008, -0.0038], [ 0.0009, 0.0014, 0.0019, ..., -0.0071, 0.0085, -0.0017], ..., [ 0.0013, 0.0003, 0.0043, ..., 0.0063, 0.0021, 0.0010], [ 0.0003, -0.0002, -0.0171, ..., 0.0063, -0.0282, 0.0011], [-0.0045, 0.0016, -0.0030, ..., -0.0167, 0.0005, 0.0013]], device='cuda:0') Epoch 193, bias, value: tensor([-0.0245, 0.0312, 0.0030, -0.0136, 0.0217, -0.0271, 0.0085, -0.0037, -0.0025, -0.0100], device='cuda:0'), grad: tensor([ 0.0062, 0.0010, -0.0162, 0.0259, 0.0101, -0.0145, 0.0149, 0.0221, -0.0084, -0.0412], device='cuda:0') 100 0.0001 changing lr epoch 192, time 214.81, cls_loss 0.5940 cls_loss_mapping 0.0082 cls_loss_causal 0.5169 re_mapping 0.0118 re_causal 0.0262 /// teacc 98.65 lr 0.00010000 Epoch 194, weight, value: tensor([[-0.0765, -0.0991, -0.0807, ..., -0.0320, 0.0500, -0.0902], [-0.0639, -0.0754, -0.0567, ..., 0.1003, -0.0316, 0.1884], [ 0.0130, -0.0180, -0.0320, ..., -0.0134, -0.0108, -0.0626], ..., [ 0.0275, -0.0929, 0.1406, ..., 0.0249, -0.0731, 0.0405], [-0.0353, 0.0526, -0.1319, ..., -0.0517, 0.0105, -0.0772], [-0.0535, 0.0689, 0.0505, ..., -0.0452, -0.0413, -0.0165]], device='cuda:0'), grad: tensor([[ 4.0293e-05, 9.2125e-04, 5.1117e-04, ..., 5.6992e-03, 8.4281e-05, 4.5013e-04], [ 3.1255e-06, 9.8801e-04, 1.2529e-04, ..., -1.1375e-02, 9.1970e-05, -3.5458e-03], [ 4.2409e-05, -4.0207e-03, 5.1308e-04, ..., -6.0081e-03, -1.8489e-04, 1.3030e-04], ..., [ 1.5736e-05, 5.2166e-04, 1.5664e-04, ..., 3.2711e-03, 7.9095e-05, 1.3089e-04], [ 8.3029e-05, 2.4078e-02, 5.5809e-03, ..., -2.0866e-03, 1.6708e-03, 5.3596e-04], [ 5.3585e-05, 1.1520e-03, 4.7565e-04, ..., -4.7386e-05, 2.1660e-04, 5.5695e-04]], device='cuda:0') Epoch 194, bias, value: tensor([-0.0249, 0.0310, 0.0036, -0.0123, 0.0211, -0.0274, 0.0081, -0.0042, -0.0027, -0.0094], device='cuda:0'), grad: tensor([ 0.0174, -0.0395, -0.0147, -0.0326, 0.0148, 0.0301, 0.0200, 0.0122, 0.0067, -0.0144], device='cuda:0') 100 0.0001 changing lr epoch 193, time 214.70, cls_loss 0.6051 cls_loss_mapping 0.0073 cls_loss_causal 0.5268 re_mapping 0.0113 re_causal 0.0258 /// teacc 98.65 lr 0.00010000 Epoch 195, weight, value: tensor([[-0.0763, -0.0992, -0.0805, ..., -0.0323, 0.0501, -0.0898], [-0.0648, -0.0758, -0.0569, ..., 0.1006, -0.0319, 0.1880], [ 0.0128, -0.0188, -0.0329, ..., -0.0137, -0.0106, -0.0629], ..., [ 0.0263, -0.0927, 0.1420, ..., 0.0253, -0.0726, 0.0403], [-0.0340, 0.0532, -0.1295, ..., -0.0509, 0.0114, -0.0755], [-0.0544, 0.0683, 0.0493, ..., -0.0464, -0.0426, -0.0166]], device='cuda:0'), grad: tensor([[ 6.7234e-05, 8.7261e-05, -1.4000e-03, ..., -2.3212e-03, 3.3522e-04, 1.0176e-03], [ 3.7730e-05, 6.2883e-05, 1.8644e-03, ..., -6.8970e-03, -2.9907e-05, 4.7803e-04], [-6.1083e-04, -1.2245e-03, -4.0550e-03, ..., -5.9738e-03, 2.9540e-04, 5.0879e-04], ..., [ 2.4259e-05, 2.6122e-05, 8.2703e-03, ..., 5.6801e-03, 1.6670e-03, -1.4973e-03], [-1.6584e-03, -2.1610e-03, -8.9722e-03, ..., -7.2250e-03, -3.6983e-03, 8.5211e-04], [ 5.6177e-05, 6.5565e-05, -8.4152e-03, ..., -4.7226e-03, -1.0328e-03, -6.2656e-04]], device='cuda:0') Epoch 195, bias, value: tensor([-0.0247, 0.0309, 0.0032, -0.0113, 0.0214, -0.0280, 0.0078, -0.0032, -0.0022, -0.0110], device='cuda:0'), grad: tensor([-0.0157, -0.0148, -0.0049, 0.0463, 0.0321, -0.0129, -0.0112, 0.0315, -0.0176, -0.0328], device='cuda:0') 100 0.0001 changing lr epoch 194, time 214.86, cls_loss 0.5630 cls_loss_mapping 0.0058 cls_loss_causal 0.4843 re_mapping 0.0121 re_causal 0.0268 /// teacc 98.70 lr 0.00010000 Epoch 196, weight, value: tensor([[-0.0765, -0.0990, -0.0810, ..., -0.0323, 0.0501, -0.0910], [-0.0648, -0.0756, -0.0583, ..., 0.1007, -0.0333, 0.1884], [ 0.0111, -0.0184, -0.0314, ..., -0.0135, -0.0102, -0.0633], ..., [ 0.0264, -0.0929, 0.1416, ..., 0.0259, -0.0746, 0.0411], [-0.0341, 0.0530, -0.1275, ..., -0.0514, 0.0117, -0.0759], [-0.0540, 0.0687, 0.0488, ..., -0.0471, -0.0405, -0.0170]], device='cuda:0'), grad: tensor([[-4.4823e-03, 4.2886e-05, 5.7077e-04, ..., -9.0027e-03, 3.8333e-06, -6.3019e-03], [ 3.1233e-04, 6.7838e-06, 6.1321e-04, ..., 3.1261e-03, 4.0792e-06, 5.7888e-04], [ 4.5705e-04, 2.3377e-04, -1.2112e-04, ..., -5.7335e-03, 2.5928e-06, 7.3290e-04], ..., [ 1.9550e-03, 3.4642e-04, 1.5745e-03, ..., 5.0812e-03, 5.3316e-05, 1.7810e-04], [-6.6280e-04, -4.8339e-05, 1.0471e-03, ..., 3.2005e-03, 1.3506e-04, 3.7766e-03], [-1.9760e-03, -6.2418e-04, -4.4174e-03, ..., -6.1455e-03, -2.3592e-04, -5.3787e-03]], device='cuda:0') Epoch 196, bias, value: tensor([-0.0247, 0.0308, 0.0038, -0.0117, 0.0206, -0.0281, 0.0088, -0.0033, -0.0023, -0.0109], device='cuda:0'), grad: tensor([-0.0079, 0.0103, -0.0205, 0.0092, 0.0154, -0.0033, -0.0125, 0.0180, 0.0389, -0.0476], device='cuda:0') 100 0.0001 changing lr epoch 195, time 214.72, cls_loss 0.5883 cls_loss_mapping 0.0055 cls_loss_causal 0.5160 re_mapping 0.0112 re_causal 0.0256 /// teacc 98.55 lr 0.00010000 Epoch 197, weight, value: tensor([[-0.0781, -0.0995, -0.0820, ..., -0.0320, 0.0511, -0.0904], [-0.0656, -0.0762, -0.0568, ..., 0.1015, -0.0336, 0.1892], [ 0.0104, -0.0190, -0.0320, ..., -0.0142, -0.0113, -0.0638], ..., [ 0.0254, -0.0939, 0.1408, ..., 0.0259, -0.0756, 0.0414], [-0.0332, 0.0538, -0.1283, ..., -0.0514, 0.0111, -0.0761], [-0.0545, 0.0692, 0.0477, ..., -0.0477, -0.0413, -0.0177]], device='cuda:0'), grad: tensor([[-3.0828e-04, 1.1206e-04, -3.0518e-04, ..., 2.6722e-03, -7.1831e-03, 2.2888e-04], [-1.3466e-03, -8.8739e-04, -5.9280e-03, ..., -8.0795e-03, -1.5411e-03, -2.3594e-03], [ 2.8992e-04, 1.1426e-04, -9.0170e-04, ..., -1.2825e-02, 7.1859e-04, 5.7364e-04], ..., [ 5.0020e-04, 1.6141e-04, 1.8673e-03, ..., 6.9695e-03, 1.0862e-03, -2.6684e-03], [ 6.3598e-05, 7.4327e-05, 1.4868e-03, ..., 5.2299e-03, 1.4648e-03, 1.5364e-03], [ 2.0421e-04, 4.4256e-05, 1.5297e-03, ..., -3.2158e-03, 9.9754e-04, 1.8129e-03]], device='cuda:0') Epoch 197, bias, value: tensor([-0.0240, 0.0315, 0.0029, -0.0120, 0.0206, -0.0281, 0.0089, -0.0032, -0.0018, -0.0120], device='cuda:0'), grad: tensor([-0.0118, -0.0182, -0.0383, 0.0258, 0.0022, -0.0062, 0.0185, 0.0003, 0.0298, -0.0022], device='cuda:0') 100 0.0001 changing lr epoch 196, time 214.88, cls_loss 0.6026 cls_loss_mapping 0.0044 cls_loss_causal 0.5242 re_mapping 0.0119 re_causal 0.0274 /// teacc 98.58 lr 0.00010000 Epoch 198, weight, value: tensor([[-0.0781, -0.1003, -0.0827, ..., -0.0322, 0.0506, -0.0904], [-0.0659, -0.0752, -0.0568, ..., 0.1014, -0.0335, 0.1899], [ 0.0098, -0.0192, -0.0321, ..., -0.0139, -0.0113, -0.0646], ..., [ 0.0250, -0.0934, 0.1410, ..., 0.0254, -0.0754, 0.0414], [-0.0343, 0.0532, -0.1278, ..., -0.0520, 0.0114, -0.0771], [-0.0541, 0.0695, 0.0478, ..., -0.0485, -0.0426, -0.0173]], device='cuda:0'), grad: tensor([[ 8.9288e-05, 2.7001e-05, 8.6784e-04, ..., -8.2731e-04, 5.9223e-04, 9.6178e-04], [ 1.2708e-04, -6.1035e-04, -2.0638e-03, ..., -5.7373e-03, -9.1400e-03, 1.0166e-03], [ 1.2231e-04, 4.1991e-05, 1.2398e-03, ..., 9.3231e-03, 7.2021e-03, 1.1778e-03], ..., [ 9.2745e-05, 4.5002e-05, 7.8678e-04, ..., 6.9351e-03, 3.4285e-04, 1.1034e-03], [ 1.0371e-04, 2.9397e-04, -1.1435e-03, ..., -4.8447e-03, 3.8099e-04, 1.4210e-04], [-9.6130e-04, 4.2677e-05, 6.3753e-04, ..., -4.5090e-03, 2.4414e-04, 1.0071e-03]], device='cuda:0') Epoch 198, bias, value: tensor([-0.0238, 0.0313, 0.0031, -0.0116, 0.0220, -0.0278, 0.0084, -0.0034, -0.0018, -0.0134], device='cuda:0'), grad: tensor([-0.0056, -0.0483, 0.0606, -0.0031, -0.0047, 0.0021, 0.0328, 0.0241, -0.0458, -0.0122], device='cuda:0') 100 0.0001 changing lr epoch 197, time 214.70, cls_loss 0.5718 cls_loss_mapping 0.0060 cls_loss_causal 0.4911 re_mapping 0.0118 re_causal 0.0263 /// teacc 98.72 lr 0.00010000 Epoch 199, weight, value: tensor([[-0.0773, -0.1009, -0.0829, ..., -0.0315, 0.0499, -0.0912], [-0.0657, -0.0746, -0.0571, ..., 0.1004, -0.0327, 0.1904], [ 0.0092, -0.0200, -0.0322, ..., -0.0130, -0.0118, -0.0634], ..., [ 0.0263, -0.0940, 0.1408, ..., 0.0255, -0.0757, 0.0416], [-0.0342, 0.0534, -0.1274, ..., -0.0531, 0.0114, -0.0777], [-0.0554, 0.0710, 0.0480, ..., -0.0474, -0.0426, -0.0178]], device='cuda:0'), grad: tensor([[ 1.7452e-04, 3.9148e-04, -3.3116e-04, ..., -4.0436e-03, -1.3323e-03, 6.7282e-04], [ 1.2010e-04, 2.3472e-04, 7.0763e-04, ..., 2.1343e-03, 5.0426e-05, 5.4216e-04], [ 7.3791e-05, 7.5626e-04, 8.6832e-04, ..., 2.4147e-03, 5.7650e-04, 3.7718e-04], ..., [ 3.5048e-04, 1.1730e-03, -3.4370e-03, ..., -1.1375e-02, 1.0175e-04, -3.4561e-03], [ 3.1567e-04, -1.6193e-03, 1.1005e-03, ..., 2.2316e-03, -1.1206e-05, -1.9989e-03], [ 2.2840e-04, 6.1750e-04, 1.1120e-03, ..., 4.9400e-03, -3.4666e-04, 7.7515e-03]], device='cuda:0') Epoch 199, bias, value: tensor([-0.0232, 0.0304, 0.0033, -0.0115, 0.0208, -0.0270, 0.0088, -0.0033, -0.0027, -0.0125], device='cuda:0'), grad: tensor([-0.0240, 0.0076, 0.0107, 0.0102, -0.0082, 0.0064, 0.0121, -0.0282, 0.0013, 0.0122], device='cuda:0') 100 0.0001 changing lr epoch 198, time 214.35, cls_loss 0.5603 cls_loss_mapping 0.0063 cls_loss_causal 0.4761 re_mapping 0.0119 re_causal 0.0268 /// teacc 98.53 lr 0.00010000 Epoch 200, weight, value: tensor([[-0.0765, -0.1026, -0.0835, ..., -0.0326, 0.0506, -0.0905], [-0.0656, -0.0747, -0.0567, ..., 0.1002, -0.0334, 0.1905], [ 0.0078, -0.0196, -0.0313, ..., -0.0136, -0.0116, -0.0622], ..., [ 0.0252, -0.0940, 0.1406, ..., 0.0272, -0.0755, 0.0415], [-0.0331, 0.0545, -0.1273, ..., -0.0534, 0.0117, -0.0790], [-0.0553, 0.0706, 0.0476, ..., -0.0468, -0.0435, -0.0187]], device='cuda:0'), grad: tensor([[ 1.0058e-07, 3.7670e-05, 5.8031e-04, ..., 2.0771e-03, 1.3947e-04, 6.8760e-04], [ 1.5367e-07, 1.4889e-04, 1.1425e-03, ..., 4.1962e-03, 2.0862e-04, 1.1406e-03], [ 7.3947e-07, 3.0708e-04, 1.3533e-03, ..., 2.5444e-03, 1.5628e-04, 9.7275e-04], ..., [ 2.6636e-07, 9.5463e-04, 1.6403e-02, ..., 1.1261e-02, 3.7074e-04, 7.3395e-03], [ 6.6590e-07, 2.3117e-03, 2.0065e-03, ..., 2.0809e-03, 1.2046e-04, 1.4467e-03], [ 1.6494e-06, -8.6308e-04, -1.6464e-02, ..., 2.2640e-03, 2.6608e-04, -3.6068e-03]], device='cuda:0') Epoch 200, bias, value: tensor([-0.0234, 0.0300, 0.0025, -0.0112, 0.0221, -0.0281, 0.0089, -0.0018, -0.0035, -0.0125], device='cuda:0'), grad: tensor([ 0.0158, 0.0258, 0.0127, -0.0200, -0.0500, 0.0110, -0.0157, 0.0565, -0.0107, -0.0255], device='cuda:0') 100 0.0001 changing lr epoch 199, time 214.28, cls_loss 0.5897 cls_loss_mapping 0.0053 cls_loss_causal 0.5166 re_mapping 0.0117 re_causal 0.0274 /// teacc 98.56 lr 0.00010000 Epoch 201, weight, value: tensor([[-0.0751, -0.1030, -0.0840, ..., -0.0318, 0.0506, -0.0899], [-0.0660, -0.0758, -0.0564, ..., 0.1008, -0.0335, 0.1908], [ 0.0074, -0.0189, -0.0316, ..., -0.0136, -0.0102, -0.0615], ..., [ 0.0257, -0.0942, 0.1403, ..., 0.0270, -0.0770, 0.0422], [-0.0337, 0.0547, -0.1275, ..., -0.0547, 0.0115, -0.0785], [-0.0559, 0.0700, 0.0476, ..., -0.0471, -0.0436, -0.0192]], device='cuda:0'), grad: tensor([[ 0.0001, 0.0005, -0.0004, ..., 0.0026, 0.0008, 0.0024], [ 0.0007, 0.0004, -0.0031, ..., -0.0013, 0.0002, -0.0071], [-0.0005, -0.0011, -0.0025, ..., 0.0044, -0.0024, 0.0022], ..., [ 0.0024, 0.0017, 0.0064, ..., 0.0201, 0.0007, 0.0072], [ 0.0007, 0.0009, 0.0006, ..., -0.0316, 0.0009, -0.0024], [-0.0054, -0.0035, -0.0076, ..., -0.0101, -0.0014, -0.0101]], device='cuda:0') Epoch 201, bias, value: tensor([-0.0228, 0.0306, 0.0025, -0.0118, 0.0215, -0.0267, 0.0084, -0.0024, -0.0038, -0.0123], device='cuda:0'), grad: tensor([ 0.0174, -0.0272, 0.0086, 0.0007, 0.0043, 0.0008, 0.0355, 0.0552, -0.0561, -0.0392], device='cuda:0') 100 0.0001 changing lr epoch 200, time 213.90, cls_loss 0.5929 cls_loss_mapping 0.0074 cls_loss_causal 0.5219 re_mapping 0.0119 re_causal 0.0269 /// teacc 98.45 lr 0.00010000 Epoch 202, weight, value: tensor([[-0.0744, -0.1027, -0.0850, ..., -0.0322, 0.0507, -0.0903], [-0.0663, -0.0767, -0.0577, ..., 0.1013, -0.0358, 0.1913], [ 0.0072, -0.0190, -0.0319, ..., -0.0129, -0.0099, -0.0625], ..., [ 0.0248, -0.0940, 0.1400, ..., 0.0264, -0.0781, 0.0414], [-0.0330, 0.0547, -0.1275, ..., -0.0540, 0.0110, -0.0777], [-0.0547, 0.0702, 0.0479, ..., -0.0475, -0.0445, -0.0195]], device='cuda:0'), grad: tensor([[ 1.6214e-06, -1.7524e-04, 5.2243e-05, ..., 3.3398e-03, 6.0701e-04, 6.0129e-04], [ 6.0290e-05, 5.4203e-07, 2.4092e-04, ..., -1.6479e-02, -3.1376e-03, -4.2076e-03], [ 1.3523e-05, 8.1539e-05, 9.5606e-05, ..., 3.8662e-03, 4.2653e-04, 8.8835e-04], ..., [-1.1940e-03, 1.2694e-06, -4.5357e-03, ..., -1.1040e-02, 4.6897e-04, -7.3776e-03], [ 1.2442e-05, -5.4110e-07, 7.1347e-05, ..., 6.7215e-03, 2.8057e-03, 1.4915e-03], [ 8.8024e-04, 1.5676e-05, 3.3588e-03, ..., 7.9575e-03, 2.3956e-03, 6.1569e-03]], device='cuda:0') Epoch 202, bias, value: tensor([-0.0226, 0.0311, 0.0022, -0.0109, 0.0220, -0.0271, 0.0074, -0.0030, -0.0030, -0.0129], device='cuda:0'), grad: tensor([ 0.0127, -0.0362, 0.0131, -0.0207, 0.0181, -0.0076, 0.0139, -0.0471, 0.0220, 0.0318], device='cuda:0') 100 0.0001 changing lr epoch 201, time 214.42, cls_loss 0.5849 cls_loss_mapping 0.0060 cls_loss_causal 0.5129 re_mapping 0.0116 re_causal 0.0269 /// teacc 98.54 lr 0.00010000 Epoch 203, weight, value: tensor([[-0.0742, -0.1026, -0.0845, ..., -0.0317, 0.0505, -0.0913], [-0.0669, -0.0771, -0.0582, ..., 0.1010, -0.0367, 0.1904], [ 0.0055, -0.0185, -0.0324, ..., -0.0126, -0.0098, -0.0646], ..., [ 0.0266, -0.0931, 0.1420, ..., 0.0264, -0.0758, 0.0428], [-0.0333, 0.0545, -0.1272, ..., -0.0531, 0.0109, -0.0763], [-0.0554, 0.0694, 0.0471, ..., -0.0476, -0.0439, -0.0182]], device='cuda:0'), grad: tensor([[ 5.6885e-06, 4.5925e-05, 1.9467e-04, ..., 2.4471e-03, 8.5592e-04, 3.5310e-04], [-3.5024e-04, 1.8060e-05, 4.7264e-03, ..., 1.3504e-03, 1.9062e-04, -1.7977e-03], [ 3.1292e-05, 8.8871e-05, 3.2883e-03, ..., 6.5880e-03, 2.1613e-04, 5.1498e-04], ..., [ 5.0455e-05, 1.3466e-03, -6.9008e-03, ..., -9.8419e-03, 5.1451e-04, 2.3651e-03], [ 2.8253e-04, -2.9099e-02, 1.2274e-03, ..., -1.4544e-03, -1.5326e-03, 1.1768e-03], [ 2.5064e-05, 2.6794e-02, -6.9284e-04, ..., -3.0842e-03, 5.0259e-04, 9.4891e-04]], device='cuda:0') Epoch 203, bias, value: tensor([-0.0229, 0.0308, 0.0027, -0.0109, 0.0215, -0.0277, 0.0069, -0.0025, -0.0028, -0.0122], device='cuda:0'), grad: tensor([ 0.0183, -0.0063, 0.0189, 0.0147, -0.0334, 0.0099, 0.0068, 0.0090, -0.0630, 0.0251], device='cuda:0') 100 0.0001 changing lr epoch 202, time 214.77, cls_loss 0.5840 cls_loss_mapping 0.0067 cls_loss_causal 0.5131 re_mapping 0.0118 re_causal 0.0267 /// teacc 98.67 lr 0.00010000 Epoch 204, weight, value: tensor([[-0.0744, -0.1036, -0.0845, ..., -0.0317, 0.0505, -0.0912], [-0.0676, -0.0773, -0.0590, ..., 0.1013, -0.0373, 0.1902], [ 0.0061, -0.0183, -0.0316, ..., -0.0140, -0.0088, -0.0646], ..., [ 0.0247, -0.0937, 0.1419, ..., 0.0267, -0.0748, 0.0428], [-0.0323, 0.0538, -0.1287, ..., -0.0545, 0.0100, -0.0772], [-0.0563, 0.0691, 0.0473, ..., -0.0473, -0.0437, -0.0182]], device='cuda:0'), grad: tensor([[-1.5039e-03, 8.5950e-05, 1.0967e-03, ..., -8.9722e-03, 4.0131e-03, -1.9970e-03], [ 5.4926e-05, 2.9117e-05, 8.3685e-04, ..., 1.8940e-03, 1.2436e-03, 6.7294e-05], [ 2.6298e-04, 1.1140e-04, 8.9359e-04, ..., 3.2005e-03, 1.2083e-03, 2.8944e-04], ..., [ 2.5725e-04, 1.1891e-04, 1.6279e-03, ..., 3.6278e-03, 2.3880e-03, 4.5705e-04], [ 2.7418e-04, 1.2560e-03, 3.2120e-03, ..., 3.8128e-03, 3.6888e-03, 5.8317e-04], [ 3.5405e-05, 2.6846e-04, -6.5880e-03, ..., 3.5782e-03, -2.0676e-02, -3.4547e-04]], device='cuda:0') Epoch 204, bias, value: tensor([-0.0230, 0.0304, 0.0018, -0.0109, 0.0216, -0.0271, 0.0080, -0.0022, -0.0036, -0.0121], device='cuda:0'), grad: tensor([-0.0125, 0.0167, 0.0217, -0.0207, -0.0407, 0.0055, -0.0113, 0.0238, 0.0274, -0.0100], device='cuda:0') 100 0.0001 changing lr epoch 203, time 214.45, cls_loss 0.5750 cls_loss_mapping 0.0052 cls_loss_causal 0.4986 re_mapping 0.0116 re_causal 0.0266 /// teacc 98.48 lr 0.00010000 Epoch 205, weight, value: tensor([[-0.0734, -0.1043, -0.0832, ..., -0.0314, 0.0496, -0.0913], [-0.0673, -0.0770, -0.0589, ..., 0.1017, -0.0361, 0.1912], [ 0.0069, -0.0184, -0.0319, ..., -0.0141, -0.0086, -0.0656], ..., [ 0.0247, -0.0938, 0.1411, ..., 0.0264, -0.0736, 0.0425], [-0.0325, 0.0540, -0.1291, ..., -0.0537, 0.0099, -0.0765], [-0.0570, 0.0688, 0.0482, ..., -0.0468, -0.0427, -0.0183]], device='cuda:0'), grad: tensor([[ 2.4006e-05, 4.0197e-04, 1.6737e-04, ..., 2.2411e-03, 1.0455e-04, 2.3782e-05], [ 1.7537e-06, -2.7466e-04, 7.0035e-05, ..., -1.0765e-02, -1.0252e-03, -2.8610e-04], [ 9.6560e-05, 5.4073e-04, 5.6410e-04, ..., -1.5402e-03, 7.7248e-05, 1.0175e-04], ..., [ 8.3297e-06, 6.4564e-04, 6.1464e-04, ..., 3.5248e-03, 6.5506e-05, 6.2823e-05], [ 3.0309e-05, 9.4223e-04, 7.4863e-04, ..., 3.7212e-03, 2.0123e-04, 1.8585e-04], [ 9.3058e-06, 3.5119e-04, 1.4334e-03, ..., -7.2300e-05, -5.6314e-04, 2.7704e-04]], device='cuda:0') Epoch 205, bias, value: tensor([-0.0240, 0.0306, 0.0026, -0.0110, 0.0214, -0.0279, 0.0080, -0.0026, -0.0026, -0.0116], device='cuda:0'), grad: tensor([ 0.0122, -0.0504, -0.0175, 0.0094, 0.0135, 0.0145, 0.0016, 0.0192, -0.0119, 0.0094], device='cuda:0') 100 0.0001 changing lr epoch 204, time 214.45, cls_loss 0.5822 cls_loss_mapping 0.0054 cls_loss_causal 0.5048 re_mapping 0.0114 re_causal 0.0264 /// teacc 98.57 lr 0.00010000 Epoch 206, weight, value: tensor([[-0.0747, -0.1044, -0.0828, ..., -0.0320, 0.0497, -0.0923], [-0.0664, -0.0772, -0.0591, ..., 0.1020, -0.0359, 0.1914], [ 0.0058, -0.0181, -0.0309, ..., -0.0139, -0.0087, -0.0667], ..., [ 0.0252, -0.0929, 0.1399, ..., 0.0265, -0.0745, 0.0434], [-0.0322, 0.0543, -0.1292, ..., -0.0531, 0.0097, -0.0774], [-0.0571, 0.0687, 0.0489, ..., -0.0484, -0.0424, -0.0187]], device='cuda:0'), grad: tensor([[ 2.6202e-04, 4.7423e-06, 6.1750e-04, ..., 2.8496e-03, 3.6407e-04, 2.5010e-04], [-3.6125e-03, 5.0478e-07, -6.8779e-03, ..., -9.0485e-03, -4.3221e-03, -2.2449e-03], [ 6.1560e-04, 2.5725e-04, 9.5034e-04, ..., 2.6302e-03, 4.6253e-04, 2.6250e-04], ..., [ 1.3647e-03, 2.4498e-05, 2.4986e-03, ..., 4.2381e-03, 1.5697e-03, 1.1587e-03], [ 4.4441e-03, 3.4302e-02, 2.5139e-03, ..., 4.8523e-03, 2.1637e-02, 2.7390e-03], [ 7.2241e-04, -3.2898e-02, 1.2960e-03, ..., 2.7866e-03, -2.0584e-02, 6.2847e-04]], device='cuda:0') Epoch 206, bias, value: tensor([-0.0230, 0.0315, 0.0027, -0.0106, 0.0215, -0.0289, 0.0086, -0.0039, -0.0024, -0.0125], device='cuda:0'), grad: tensor([ 0.0119, -0.0352, 0.0118, -0.0016, -0.0209, -0.0333, 0.0065, 0.0182, 0.0556, -0.0131], device='cuda:0') 100 0.0001 changing lr epoch 205, time 214.31, cls_loss 0.5920 cls_loss_mapping 0.0062 cls_loss_causal 0.5251 re_mapping 0.0116 re_causal 0.0270 /// teacc 98.38 lr 0.00010000 Epoch 207, weight, value: tensor([[-0.0740, -0.1039, -0.0827, ..., -0.0325, 0.0494, -0.0932], [-0.0650, -0.0785, -0.0581, ..., 0.1014, -0.0329, 0.1929], [ 0.0057, -0.0180, -0.0296, ..., -0.0128, -0.0085, -0.0650], ..., [ 0.0259, -0.0932, 0.1398, ..., 0.0260, -0.0751, 0.0434], [-0.0320, 0.0538, -0.1305, ..., -0.0529, 0.0102, -0.0777], [-0.0581, 0.0689, 0.0488, ..., -0.0487, -0.0425, -0.0186]], device='cuda:0'), grad: tensor([[ 1.2279e-05, 5.4181e-05, 4.8317e-06, ..., -3.4561e-03, -4.1428e-03, -8.6355e-04], [-4.2498e-05, 1.7986e-05, -1.5236e-05, ..., -2.6741e-03, 6.1417e-04, 1.2960e-03], [ 4.7505e-05, 9.2328e-05, 1.7357e-04, ..., 1.0848e-05, 2.0332e-03, 5.0259e-04], ..., [-1.2243e-04, 3.0994e-05, -4.9925e-04, ..., 3.0651e-03, 7.0143e-04, -5.4741e-03], [ 2.3544e-05, 2.0850e-04, 8.4043e-05, ..., 2.9106e-03, 4.7326e-04, 7.2289e-04], [ 5.0575e-05, 2.1780e-04, 8.6904e-05, ..., -2.3499e-03, 6.1178e-04, 1.1015e-03]], device='cuda:0') Epoch 207, bias, value: tensor([-0.0231, 0.0311, 0.0024, -0.0099, 0.0209, -0.0283, 0.0084, -0.0037, -0.0022, -0.0127], device='cuda:0'), grad: tensor([-0.0097, -0.0114, 0.0094, -0.0426, 0.0252, 0.0376, 0.0184, -0.0074, 0.0177, -0.0372], device='cuda:0') 100 0.0001 changing lr epoch 206, time 214.72, cls_loss 0.5697 cls_loss_mapping 0.0050 cls_loss_causal 0.4924 re_mapping 0.0113 re_causal 0.0252 /// teacc 98.50 lr 0.00010000 Epoch 208, weight, value: tensor([[-0.0744, -0.1043, -0.0822, ..., -0.0317, 0.0491, -0.0924], [-0.0648, -0.0788, -0.0570, ..., 0.1016, -0.0334, 0.1910], [ 0.0061, -0.0180, -0.0301, ..., -0.0139, -0.0081, -0.0647], ..., [ 0.0270, -0.0937, 0.1406, ..., 0.0261, -0.0761, 0.0429], [-0.0339, 0.0548, -0.1310, ..., -0.0532, 0.0096, -0.0791], [-0.0577, 0.0688, 0.0494, ..., -0.0484, -0.0428, -0.0179]], device='cuda:0'), grad: tensor([[ 3.4809e-04, 1.8036e-04, 1.8663e-03, ..., 2.1725e-03, -1.1816e-03, 1.8721e-03], [ 5.0306e-04, 1.3053e-04, 1.1911e-03, ..., 3.0785e-03, 3.7408e-04, -7.8506e-03], [-1.8110e-03, 1.1787e-02, -2.6493e-03, ..., -2.6321e-04, 1.9875e-03, -8.4341e-06], ..., [-3.8071e-03, -1.2274e-03, -9.5901e-03, ..., -5.5084e-03, -4.3449e-03, -1.3380e-03], [-7.3910e-04, 1.9043e-02, 4.6396e-04, ..., 9.7466e-04, 1.2553e-04, 2.7752e-04], [ 3.3150e-03, 9.8324e-04, 4.4250e-03, ..., -7.2212e-03, 3.1066e-04, -1.3006e-04]], device='cuda:0') Epoch 208, bias, value: tensor([-0.0227, 0.0316, 0.0023, -0.0095, 0.0220, -0.0297, 0.0083, -0.0041, -0.0026, -0.0126], device='cuda:0'), grad: tensor([ 0.0245, 0.0055, 0.0083, -0.0018, 0.0043, 0.0127, -0.0097, -0.0229, -0.0085, -0.0123], device='cuda:0') 100 0.0001 changing lr epoch 207, time 214.48, cls_loss 0.5369 cls_loss_mapping 0.0058 cls_loss_causal 0.4714 re_mapping 0.0113 re_causal 0.0255 /// teacc 98.52 lr 0.00010000 Epoch 209, weight, value: tensor([[-0.0743, -0.1049, -0.0834, ..., -0.0322, 0.0490, -0.0934], [-0.0647, -0.0793, -0.0578, ..., 0.1010, -0.0334, 0.1918], [ 0.0066, -0.0184, -0.0296, ..., -0.0132, -0.0078, -0.0660], ..., [ 0.0269, -0.0932, 0.1401, ..., 0.0266, -0.0764, 0.0440], [-0.0338, 0.0545, -0.1309, ..., -0.0532, 0.0096, -0.0795], [-0.0581, 0.0690, 0.0491, ..., -0.0496, -0.0431, -0.0187]], device='cuda:0'), grad: tensor([[ 4.5896e-04, 7.6473e-05, -3.3140e-04, ..., -6.0539e-03, 8.0729e-04, 9.2220e-04], [-2.2221e-04, 7.2002e-05, 1.2932e-03, ..., -7.3814e-03, -1.0307e-02, 3.0155e-03], [ 1.0376e-03, 1.9646e-03, 6.5041e-04, ..., 4.6844e-03, 1.6899e-03, 1.0853e-03], ..., [-3.5000e-04, 3.3408e-05, -7.3814e-04, ..., 1.1454e-03, 6.6662e-04, 1.3771e-03], [ 2.8968e-04, 9.0122e-04, 1.3554e-04, ..., 6.0387e-03, 1.1072e-03, 5.2214e-04], [ 1.2293e-03, -3.9548e-05, 7.4291e-04, ..., 6.5269e-03, 5.6505e-04, 4.9324e-03]], device='cuda:0') Epoch 209, bias, value: tensor([-0.0238, 0.0310, 0.0032, -0.0088, 0.0217, -0.0286, 0.0081, -0.0039, -0.0025, -0.0133], device='cuda:0'), grad: tensor([-0.0382, -0.0286, 0.0015, 0.0038, -0.0443, 0.0020, 0.0435, -0.0013, 0.0304, 0.0311], device='cuda:0') 100 0.0001 changing lr epoch 208, time 214.81, cls_loss 0.5768 cls_loss_mapping 0.0072 cls_loss_causal 0.4982 re_mapping 0.0111 re_causal 0.0241 /// teacc 98.63 lr 0.00010000 Epoch 210, weight, value: tensor([[-0.0737, -0.1051, -0.0835, ..., -0.0328, 0.0489, -0.0930], [-0.0656, -0.0790, -0.0582, ..., 0.1012, -0.0320, 0.1915], [ 0.0064, -0.0181, -0.0292, ..., -0.0145, -0.0097, -0.0662], ..., [ 0.0268, -0.0928, 0.1400, ..., 0.0265, -0.0768, 0.0438], [-0.0341, 0.0545, -0.1312, ..., -0.0529, 0.0087, -0.0793], [-0.0577, 0.0697, 0.0493, ..., -0.0495, -0.0427, -0.0190]], device='cuda:0'), grad: tensor([[ 7.6115e-05, 1.9813e-04, 2.2435e-04, ..., 2.1839e-03, 3.5739e-04, 6.6400e-05], [ 2.7752e-04, 3.9864e-04, 5.7745e-04, ..., -1.1110e-03, 5.5790e-04, -4.9973e-04], [ 1.1814e-04, -2.5826e-03, 8.1444e-04, ..., 1.8148e-03, 9.6283e-03, 7.1573e-04], ..., [ 2.2304e-04, 1.3323e-03, 7.4434e-04, ..., 5.3329e-03, 2.6107e-04, 1.7309e-04], [ 1.7953e-04, 1.6129e-04, -2.8706e-03, ..., -1.2642e-02, -3.8971e-02, 1.3065e-04], [-2.1400e-03, -6.1035e-04, -2.2030e-03, ..., -6.3477e-03, 2.0754e-04, -2.0084e-03]], device='cuda:0') Epoch 210, bias, value: tensor([-0.0235, 0.0308, 0.0025, -0.0092, 0.0219, -0.0273, 0.0069, -0.0043, -0.0016, -0.0132], device='cuda:0'), grad: tensor([ 0.0172, -0.0247, 0.0184, 0.0362, 0.0249, 0.0246, -0.0527, 0.0337, -0.0596, -0.0180], device='cuda:0') 100 0.0001 changing lr epoch 209, time 214.34, cls_loss 0.6107 cls_loss_mapping 0.0060 cls_loss_causal 0.5219 re_mapping 0.0114 re_causal 0.0255 /// teacc 98.54 lr 0.00010000 Epoch 211, weight, value: tensor([[-0.0724, -0.1056, -0.0836, ..., -0.0329, 0.0493, -0.0936], [-0.0658, -0.0799, -0.0577, ..., 0.1006, -0.0319, 0.1922], [ 0.0061, -0.0176, -0.0295, ..., -0.0150, -0.0094, -0.0669], ..., [ 0.0267, -0.0929, 0.1411, ..., 0.0268, -0.0770, 0.0449], [-0.0353, 0.0540, -0.1322, ..., -0.0520, 0.0106, -0.0799], [-0.0571, 0.0697, 0.0497, ..., -0.0493, -0.0436, -0.0196]], device='cuda:0'), grad: tensor([[-5.6410e-04, 2.7254e-05, 3.3617e-05, ..., 1.1835e-03, 1.2834e-06, 5.1260e-05], [ 4.3482e-05, 2.4170e-05, 3.6627e-05, ..., -3.0518e-03, 4.3139e-06, -2.4533e-04], [-4.9162e-04, 2.5916e-04, 1.0246e-04, ..., -3.9339e-04, 1.0049e-04, 9.5606e-05], ..., [ 2.0146e-04, 9.5427e-05, 1.2083e-03, ..., 2.1553e-03, 1.8626e-07, 9.0981e-04], [ 1.5819e-04, -4.5967e-04, 1.4567e-04, ..., -6.7139e-03, 1.7174e-06, 1.7560e-04], [ 4.3273e-05, -5.9992e-05, -3.7518e-03, ..., -9.7656e-04, 8.8140e-06, -3.7041e-03]], device='cuda:0') Epoch 211, bias, value: tensor([-0.0241, 0.0308, 0.0025, -0.0101, 0.0219, -0.0275, 0.0079, -0.0049, -0.0010, -0.0127], device='cuda:0'), grad: tensor([-0.0123, -0.0259, 0.0157, -0.0126, 0.0193, 0.0190, 0.0167, 0.0147, -0.0281, -0.0065], device='cuda:0') 100 0.0001 changing lr epoch 210, time 214.20, cls_loss 0.5693 cls_loss_mapping 0.0049 cls_loss_causal 0.4964 re_mapping 0.0112 re_causal 0.0255 /// teacc 98.57 lr 0.00010000 Epoch 212, weight, value: tensor([[-0.0728, -0.1057, -0.0831, ..., -0.0335, 0.0495, -0.0938], [-0.0658, -0.0800, -0.0575, ..., 0.1011, -0.0322, 0.1933], [ 0.0056, -0.0182, -0.0290, ..., -0.0144, -0.0096, -0.0671], ..., [ 0.0270, -0.0936, 0.1415, ..., 0.0261, -0.0772, 0.0445], [-0.0355, 0.0543, -0.1341, ..., -0.0517, 0.0121, -0.0788], [-0.0574, 0.0686, 0.0487, ..., -0.0485, -0.0450, -0.0198]], device='cuda:0'), grad: tensor([[ 1.7881e-04, 3.5381e-04, 4.0030e-04, ..., -4.5891e-03, 5.9986e-04, 3.7342e-05], [ 9.3281e-05, 1.2591e-05, 1.8585e-04, ..., -2.8381e-03, -2.5959e-03, 1.9398e-03], [ 1.2803e-04, -8.5211e-04, -1.2903e-03, ..., 1.8597e-03, -4.0859e-05, 3.4404e-04], ..., [-3.1328e-04, 8.1837e-05, -4.8494e-04, ..., -3.9825e-03, 2.3043e-04, -9.0256e-03], [ 1.4806e-04, 1.3399e-04, 5.1832e-04, ..., 3.1185e-03, 4.1866e-04, 3.8433e-03], [ 2.1446e-04, 3.0503e-05, 3.0708e-04, ..., 3.8204e-03, 2.3937e-04, 9.2077e-04]], device='cuda:0') Epoch 212, bias, value: tensor([-0.0240, 0.0324, 0.0030, -0.0108, 0.0219, -0.0285, 0.0083, -0.0062, -0.0009, -0.0123], device='cuda:0'), grad: tensor([-0.0358, 0.0043, 0.0173, 0.0018, -0.0034, 0.0294, -0.0375, -0.0066, 0.0038, 0.0267], device='cuda:0') 100 0.0001 changing lr epoch 211, time 214.07, cls_loss 0.5560 cls_loss_mapping 0.0067 cls_loss_causal 0.4791 re_mapping 0.0117 re_causal 0.0258 /// teacc 98.53 lr 0.00010000 Epoch 213, weight, value: tensor([[-0.0739, -0.1072, -0.0843, ..., -0.0335, 0.0500, -0.0945], [-0.0656, -0.0813, -0.0578, ..., 0.1010, -0.0319, 0.1936], [ 0.0053, -0.0187, -0.0276, ..., -0.0135, -0.0100, -0.0679], ..., [ 0.0262, -0.0939, 0.1411, ..., 0.0259, -0.0769, 0.0448], [-0.0343, 0.0551, -0.1329, ..., -0.0511, 0.0115, -0.0774], [-0.0583, 0.0682, 0.0493, ..., -0.0494, -0.0459, -0.0201]], device='cuda:0'), grad: tensor([[ 2.8461e-06, 4.2021e-05, 4.3154e-05, ..., 2.9469e-03, 4.3988e-04, 7.9918e-04], [ 3.8557e-06, 7.7844e-05, 1.4055e-04, ..., -1.3390e-02, -3.4866e-03, -6.4850e-03], [-4.4964e-06, 1.6022e-04, 1.3285e-03, ..., 2.1477e-03, 5.3787e-04, 1.2484e-03], ..., [ 2.8089e-05, 3.6567e-05, -1.7338e-03, ..., 7.6199e-04, 2.4378e-04, -6.9380e-04], [-1.0252e-03, -2.2566e-04, 1.6749e-04, ..., 2.8095e-03, -4.5586e-04, 1.1101e-03], [ 2.2531e-05, 3.5310e-04, 4.2915e-05, ..., 1.5097e-03, 3.5334e-04, 2.6264e-03]], device='cuda:0') Epoch 213, bias, value: tensor([-0.0242, 0.0316, 0.0032, -0.0109, 0.0229, -0.0282, 0.0088, -0.0065, -0.0008, -0.0128], device='cuda:0'), grad: tensor([ 0.0157, -0.0582, 0.0180, 0.0091, -0.0141, 0.0170, 0.0035, -0.0028, 0.0094, 0.0022], device='cuda:0') 100 0.0001 changing lr epoch 212, time 213.99, cls_loss 0.5731 cls_loss_mapping 0.0058 cls_loss_causal 0.4952 re_mapping 0.0111 re_causal 0.0249 /// teacc 98.55 lr 0.00010000 Epoch 214, weight, value: tensor([[-0.0739, -0.1070, -0.0843, ..., -0.0338, 0.0502, -0.0954], [-0.0652, -0.0808, -0.0585, ..., 0.1014, -0.0325, 0.1955], [ 0.0054, -0.0191, -0.0274, ..., -0.0133, -0.0100, -0.0684], ..., [ 0.0262, -0.0942, 0.1408, ..., 0.0258, -0.0773, 0.0431], [-0.0349, 0.0553, -0.1328, ..., -0.0512, 0.0113, -0.0785], [-0.0576, 0.0686, 0.0515, ..., -0.0493, -0.0456, -0.0182]], device='cuda:0'), grad: tensor([[ 0.0003, 0.0006, 0.0011, ..., 0.0039, 0.0019, 0.0002], [ 0.0004, 0.0004, -0.0003, ..., -0.0005, 0.0004, -0.0011], [ 0.0006, 0.0006, 0.0004, ..., -0.0107, -0.0016, -0.0010], ..., [-0.0019, -0.0004, -0.0045, ..., -0.0005, 0.0002, 0.0001], [ 0.0007, 0.0009, 0.0017, ..., 0.0067, 0.0009, 0.0006], [ 0.0006, 0.0007, 0.0013, ..., 0.0027, 0.0002, 0.0002]], device='cuda:0') Epoch 214, bias, value: tensor([-0.0248, 0.0319, 0.0033, -0.0112, 0.0235, -0.0281, 0.0075, -0.0064, -0.0010, -0.0118], device='cuda:0'), grad: tensor([ 0.0069, -0.0064, -0.0331, 0.0267, -0.0627, 0.0283, -0.0279, 0.0061, 0.0406, 0.0214], device='cuda:0') 100 0.0001 changing lr epoch 213, time 214.09, cls_loss 0.5702 cls_loss_mapping 0.0061 cls_loss_causal 0.4836 re_mapping 0.0113 re_causal 0.0259 /// teacc 98.59 lr 0.00010000 Epoch 215, weight, value: tensor([[-0.0742, -0.1078, -0.0847, ..., -0.0338, 0.0498, -0.0958], [-0.0648, -0.0807, -0.0583, ..., 0.1019, -0.0322, 0.1956], [ 0.0045, -0.0200, -0.0292, ..., -0.0139, -0.0099, -0.0679], ..., [ 0.0273, -0.0955, 0.1404, ..., 0.0261, -0.0774, 0.0435], [-0.0355, 0.0561, -0.1347, ..., -0.0518, 0.0113, -0.0791], [-0.0581, 0.0677, 0.0539, ..., -0.0494, -0.0458, -0.0187]], device='cuda:0'), grad: tensor([[ 1.0860e-04, -1.0872e-03, -1.4715e-03, ..., 1.0023e-03, -1.7109e-03, 1.2410e-04], [ 3.2514e-05, 6.8657e-06, -1.6870e-03, ..., -6.4583e-03, 7.2420e-06, -1.7004e-03], [ 4.5635e-06, 8.9169e-05, 5.0259e-04, ..., 3.0155e-03, 1.2553e-04, 3.6430e-04], ..., [-1.2612e-04, 6.8545e-05, 2.0802e-04, ..., 2.5578e-03, 6.7174e-05, 9.2149e-05], [ 2.4125e-05, 2.0325e-04, 4.4131e-04, ..., 1.8349e-03, 1.0383e-04, 2.8801e-04], [ 7.8022e-05, -3.6216e-04, -5.5164e-05, ..., 1.7405e-03, 2.2709e-04, 8.7023e-05]], device='cuda:0') Epoch 215, bias, value: tensor([-0.0239, 0.0312, 0.0027, -0.0112, 0.0234, -0.0270, 0.0074, -0.0055, -0.0013, -0.0128], device='cuda:0'), grad: tensor([ 0.0021, -0.0485, 0.0186, 0.0160, -0.0656, 0.0120, 0.0176, 0.0187, 0.0125, 0.0167], device='cuda:0') 100 0.0001 changing lr epoch 214, time 214.07, cls_loss 0.5990 cls_loss_mapping 0.0072 cls_loss_causal 0.5236 re_mapping 0.0103 re_causal 0.0235 /// teacc 98.73 lr 0.00010000 Epoch 216, weight, value: tensor([[-0.0747, -0.1082, -0.0842, ..., -0.0340, 0.0499, -0.0962], [-0.0648, -0.0788, -0.0580, ..., 0.1016, -0.0317, 0.1951], [ 0.0048, -0.0186, -0.0306, ..., -0.0141, -0.0099, -0.0674], ..., [ 0.0275, -0.0961, 0.1411, ..., 0.0260, -0.0773, 0.0444], [-0.0334, 0.0571, -0.1345, ..., -0.0515, 0.0111, -0.0779], [-0.0584, 0.0665, 0.0531, ..., -0.0503, -0.0450, -0.0196]], device='cuda:0'), grad: tensor([[-1.6766e-03, -2.1706e-03, -2.3804e-03, ..., -8.8196e-03, 8.6963e-05, -5.6839e-03], [ 1.8954e-04, 1.7989e-04, -4.7264e-03, ..., -4.7913e-03, -1.4114e-03, 1.5240e-03], [ 1.3876e-04, 3.3379e-04, 1.0920e-03, ..., -1.7757e-03, 2.8896e-04, -3.4943e-03], ..., [ 3.8862e-05, 4.7636e-04, 9.1553e-04, ..., 4.9667e-03, 1.0306e-04, 1.6413e-03], [-1.4055e-04, 9.5785e-05, 6.0511e-04, ..., 2.2757e-04, 1.0997e-04, 7.9393e-04], [ 9.3985e-04, -5.0873e-05, 8.7261e-04, ..., -9.9564e-03, 6.9737e-05, 9.5654e-04]], device='cuda:0') Epoch 216, bias, value: tensor([-0.0239, 0.0308, 0.0041, -0.0113, 0.0233, -0.0277, 0.0075, -0.0055, -0.0009, -0.0134], device='cuda:0'), grad: tensor([-0.0517, -0.0034, -0.0014, 0.0219, 0.0385, 0.0168, 0.0247, 0.0160, -0.0020, -0.0595], device='cuda:0') 100 0.0001 changing lr epoch 215, time 214.16, cls_loss 0.5983 cls_loss_mapping 0.0069 cls_loss_causal 0.5249 re_mapping 0.0112 re_causal 0.0248 /// teacc 98.72 lr 0.00010000 Epoch 217, weight, value: tensor([[-0.0756, -0.1082, -0.0847, ..., -0.0337, 0.0499, -0.0950], [-0.0666, -0.0787, -0.0587, ..., 0.1014, -0.0321, 0.1952], [ 0.0045, -0.0171, -0.0307, ..., -0.0138, -0.0100, -0.0674], ..., [ 0.0270, -0.0970, 0.1413, ..., 0.0264, -0.0778, 0.0436], [-0.0322, 0.0565, -0.1333, ..., -0.0520, 0.0118, -0.0778], [-0.0577, 0.0672, 0.0535, ..., -0.0506, -0.0452, -0.0190]], device='cuda:0'), grad: tensor([[-2.2469e-03, -7.9584e-04, 9.6202e-05, ..., -1.5839e-02, -2.4819e-04, -1.3809e-03], [ 1.1177e-03, 3.7718e-04, 6.3324e-04, ..., 1.5930e-02, 7.2829e-07, 5.3215e-03], [ 2.1815e-04, 8.2731e-05, 3.3879e-04, ..., -8.6288e-03, 1.9997e-05, -5.6610e-03], ..., [ 4.8608e-05, 1.8585e-04, -4.1924e-03, ..., -1.5793e-02, 1.8645e-06, -1.3351e-03], [ 9.0480e-05, 1.9610e-04, 1.9703e-03, ..., 5.5656e-03, 1.9699e-05, -2.4164e-04], [ 7.8321e-05, -2.9111e-04, 4.4394e-04, ..., 3.0766e-03, 6.2883e-05, 5.3644e-04]], device='cuda:0') Epoch 217, bias, value: tensor([-0.0233, 0.0317, 0.0043, -0.0111, 0.0224, -0.0280, 0.0065, -0.0054, -0.0005, -0.0136], device='cuda:0'), grad: tensor([-0.0470, 0.0547, -0.0432, 0.0159, 0.0076, 0.0119, 0.0261, -0.0571, 0.0127, 0.0183], device='cuda:0') 100 0.0001 changing lr epoch 216, time 214.43, cls_loss 0.5651 cls_loss_mapping 0.0055 cls_loss_causal 0.4823 re_mapping 0.0119 re_causal 0.0260 /// teacc 98.69 lr 0.00010000 Epoch 218, weight, value: tensor([[-0.0759, -0.1082, -0.0852, ..., -0.0336, 0.0494, -0.0965], [-0.0657, -0.0808, -0.0582, ..., 0.1013, -0.0320, 0.1956], [ 0.0072, -0.0174, -0.0304, ..., -0.0137, -0.0095, -0.0670], ..., [ 0.0269, -0.0987, 0.1409, ..., 0.0278, -0.0774, 0.0433], [-0.0357, 0.0562, -0.1339, ..., -0.0522, 0.0114, -0.0779], [-0.0563, 0.0667, 0.0532, ..., -0.0495, -0.0453, -0.0184]], device='cuda:0'), grad: tensor([[ 3.6621e-04, -9.9945e-03, 2.0218e-04, ..., -8.1558e-03, -1.3723e-03, 2.1625e-04], [ 2.6665e-03, 5.5361e-04, 1.2169e-03, ..., 8.1863e-03, 1.3754e-05, 1.8330e-03], [ 2.2430e-03, 1.9646e-03, 3.4103e-03, ..., 7.9269e-03, 2.7466e-04, 1.3304e-03], ..., [-1.8768e-03, -9.1839e-04, -4.3297e-03, ..., 5.2786e-04, 4.5002e-06, -1.5898e-03], [-4.4098e-03, 8.9264e-03, -8.0252e-04, ..., -2.1648e-03, 1.4296e-03, -3.3054e-03], [ 3.5715e-04, -5.0812e-03, 2.7966e-04, ..., 2.3766e-03, 3.7283e-05, 2.0742e-04]], device='cuda:0') Epoch 218, bias, value: tensor([-0.0230, 0.0310, 0.0051, -0.0109, 0.0212, -0.0287, 0.0066, -0.0044, -0.0009, -0.0131], device='cuda:0'), grad: tensor([-0.0450, 0.0313, 0.0322, -0.0626, 0.0303, 0.0267, -0.0163, 0.0027, 0.0120, -0.0114], device='cuda:0') 100 0.0001 changing lr epoch 217, time 214.12, cls_loss 0.5768 cls_loss_mapping 0.0051 cls_loss_causal 0.5084 re_mapping 0.0115 re_causal 0.0269 /// teacc 98.68 lr 0.00010000 Epoch 219, weight, value: tensor([[-0.0764, -0.1083, -0.0858, ..., -0.0336, 0.0489, -0.0982], [-0.0663, -0.0794, -0.0579, ..., 0.1012, -0.0322, 0.1953], [ 0.0062, -0.0179, -0.0315, ..., -0.0142, -0.0095, -0.0670], ..., [ 0.0262, -0.0978, 0.1417, ..., 0.0279, -0.0773, 0.0435], [-0.0353, 0.0575, -0.1316, ..., -0.0516, 0.0120, -0.0762], [-0.0548, 0.0653, 0.0519, ..., -0.0500, -0.0455, -0.0194]], device='cuda:0'), grad: tensor([[ 3.5357e-04, 1.6719e-05, 5.6791e-04, ..., 7.2527e-04, 4.7922e-05, 4.7183e-04], [ 5.3644e-04, 1.7837e-05, 4.9114e-04, ..., 9.4070e-03, 7.8231e-08, 3.0231e-04], [ 2.9159e-04, 2.5332e-05, -9.1612e-05, ..., 6.5269e-03, 6.7130e-06, 4.6182e-04], ..., [ 8.9836e-04, 1.4096e-05, 2.4962e-04, ..., 6.6795e-03, 1.4156e-07, 5.0402e-04], [-9.9564e-04, 2.5940e-04, -4.3144e-03, ..., -1.4029e-03, 4.1686e-06, 7.5769e-04], [ 7.6056e-04, 2.1979e-05, 9.6464e-04, ..., 8.2092e-03, 1.1101e-06, 6.6137e-04]], device='cuda:0') Epoch 219, bias, value: tensor([-0.0230, 0.0310, 0.0048, -0.0109, 0.0211, -0.0278, 0.0064, -0.0045, -0.0003, -0.0139], device='cuda:0'), grad: tensor([ 0.0064, 0.0476, 0.0331, -0.1183, -0.0215, -0.0126, -0.0029, 0.0177, 0.0117, 0.0390], device='cuda:0') 100 0.0001 changing lr epoch 218, time 214.01, cls_loss 0.6002 cls_loss_mapping 0.0049 cls_loss_causal 0.5166 re_mapping 0.0112 re_causal 0.0253 /// teacc 98.77 lr 0.00010000 Epoch 220, weight, value: tensor([[-0.0781, -0.1081, -0.0863, ..., -0.0330, 0.0483, -0.0990], [-0.0651, -0.0794, -0.0585, ..., 0.1023, -0.0323, 0.1960], [ 0.0059, -0.0171, -0.0306, ..., -0.0143, -0.0096, -0.0665], ..., [ 0.0277, -0.0982, 0.1423, ..., 0.0288, -0.0775, 0.0443], [-0.0378, 0.0586, -0.1315, ..., -0.0525, 0.0120, -0.0762], [-0.0558, 0.0649, 0.0515, ..., -0.0502, -0.0448, -0.0199]], device='cuda:0'), grad: tensor([[ 4.1962e-04, 8.2111e-04, 7.3314e-05, ..., 6.5804e-03, 1.1654e-03, 1.2045e-03], [ 1.4935e-03, 4.7147e-05, 1.2660e-04, ..., 8.8196e-03, 9.6783e-06, 5.5084e-03], [ 1.1892e-03, 5.4598e-04, 6.1095e-05, ..., 6.2103e-03, 8.8811e-05, 4.5300e-04], ..., [ 7.2384e-04, 1.6851e-03, 2.5692e-03, ..., -1.4515e-03, 1.2517e-05, 3.5973e-03], [-1.5802e-03, -8.4758e-05, -3.3712e-04, ..., -1.6327e-02, 7.3576e-04, -7.8354e-03], [ 3.7885e-04, 4.5784e-06, -3.1605e-03, ..., 5.3291e-03, 1.1110e-04, -1.1520e-03]], device='cuda:0') Epoch 220, bias, value: tensor([-0.0236, 0.0315, 0.0051, -0.0112, 0.0211, -0.0274, 0.0056, -0.0043, -0.0012, -0.0128], device='cuda:0'), grad: tensor([ 0.0312, 0.0277, 0.0145, -0.0169, -0.0230, 0.0320, -0.0288, -0.0087, -0.0453, 0.0171], device='cuda:0') 100 0.0001 changing lr epoch 219, time 214.35, cls_loss 0.5992 cls_loss_mapping 0.0048 cls_loss_causal 0.5243 re_mapping 0.0110 re_causal 0.0261 /// teacc 98.82 lr 0.00010000 Epoch 221, weight, value: tensor([[-0.0754, -0.1086, -0.0858, ..., -0.0336, 0.0482, -0.0967], [-0.0686, -0.0799, -0.0592, ..., 0.1023, -0.0326, 0.1958], [ 0.0047, -0.0178, -0.0311, ..., -0.0145, -0.0099, -0.0652], ..., [ 0.0285, -0.0990, 0.1421, ..., 0.0287, -0.0779, 0.0445], [-0.0369, 0.0600, -0.1317, ..., -0.0522, 0.0116, -0.0775], [-0.0551, 0.0650, 0.0514, ..., -0.0504, -0.0432, -0.0204]], device='cuda:0'), grad: tensor([[ 7.4720e-04, 5.3072e-04, 6.2704e-04, ..., 5.0354e-03, 3.8207e-05, 6.2370e-04], [ 8.5688e-04, -2.0862e-04, -3.9406e-03, ..., -7.6523e-03, -1.3428e-03, -1.3962e-03], [-4.7302e-03, -4.4823e-03, -1.2617e-03, ..., -2.2369e-02, 9.5069e-05, -2.1706e-03], ..., [ 8.4114e-04, 1.1663e-03, 2.1744e-03, ..., 5.8098e-03, 2.2268e-04, 7.0047e-04], [ 1.0900e-03, 1.4763e-03, 1.9102e-03, ..., 2.6913e-03, 4.2915e-04, 1.3380e-03], [ 1.1796e-04, 1.2660e-04, 1.1032e-02, ..., 4.7569e-03, 4.5955e-05, 3.9506e-04]], device='cuda:0') Epoch 221, bias, value: tensor([-0.0240, 0.0309, 0.0052, -0.0101, 0.0222, -0.0276, 0.0051, -0.0044, -0.0013, -0.0132], device='cuda:0'), grad: tensor([ 0.0250, -0.0569, -0.0581, 0.0018, 0.0286, -0.0322, 0.0130, 0.0335, 0.0160, 0.0293], device='cuda:0') 100 0.0001 changing lr epoch 220, time 214.16, cls_loss 0.5475 cls_loss_mapping 0.0048 cls_loss_causal 0.4777 re_mapping 0.0115 re_causal 0.0249 /// teacc 98.76 lr 0.00010000 Epoch 222, weight, value: tensor([[-0.0746, -0.1093, -0.0852, ..., -0.0337, 0.0482, -0.0965], [-0.0685, -0.0799, -0.0605, ..., 0.1022, -0.0326, 0.1962], [ 0.0066, -0.0176, -0.0313, ..., -0.0129, -0.0100, -0.0659], ..., [ 0.0278, -0.0997, 0.1428, ..., 0.0289, -0.0776, 0.0448], [-0.0365, 0.0598, -0.1324, ..., -0.0533, 0.0119, -0.0779], [-0.0556, 0.0656, 0.0511, ..., -0.0501, -0.0431, -0.0203]], device='cuda:0'), grad: tensor([[-2.8248e-03, 2.0850e-04, 2.3901e-04, ..., -1.1261e-02, -8.6355e-04, -9.3460e-03], [ 2.6970e-03, -2.1374e-04, 5.8842e-04, ..., 4.2191e-03, 8.4400e-05, 3.5286e-03], [ 2.0180e-03, 1.2569e-03, 1.0595e-03, ..., 3.3684e-03, 6.5684e-05, 2.2984e-03], ..., [-9.2468e-03, -1.9302e-03, -5.9166e-03, ..., -1.4053e-02, 2.2304e-04, -5.2528e-03], [ 8.0872e-04, 6.8569e-04, 2.8992e-04, ..., -2.9964e-03, 9.0301e-05, 1.0881e-03], [ 2.5063e-03, 6.2370e-04, 1.3590e-03, ..., 8.4915e-03, 2.2161e-04, 3.2387e-03]], device='cuda:0') Epoch 222, bias, value: tensor([-0.0246, 0.0320, 0.0060, -0.0097, 0.0226, -0.0285, 0.0049, -0.0039, -0.0028, -0.0133], device='cuda:0'), grad: tensor([-0.0427, 0.0091, 0.0032, 0.0105, 0.0315, 0.0234, -0.0151, -0.0388, -0.0350, 0.0539], device='cuda:0') 100 0.0001 changing lr epoch 221, time 214.17, cls_loss 0.5763 cls_loss_mapping 0.0080 cls_loss_causal 0.5041 re_mapping 0.0115 re_causal 0.0249 /// teacc 98.64 lr 0.00010000 Epoch 223, weight, value: tensor([[-0.0731, -0.1094, -0.0852, ..., -0.0318, 0.0487, -0.0963], [-0.0687, -0.0786, -0.0603, ..., 0.1026, -0.0329, 0.1970], [ 0.0056, -0.0172, -0.0314, ..., -0.0141, -0.0096, -0.0650], ..., [ 0.0272, -0.0996, 0.1431, ..., 0.0278, -0.0780, 0.0436], [-0.0352, 0.0591, -0.1322, ..., -0.0525, 0.0120, -0.0773], [-0.0545, 0.0648, 0.0502, ..., -0.0498, -0.0434, -0.0206]], device='cuda:0'), grad: tensor([[ 1.0643e-03, -1.1587e-03, 7.6485e-04, ..., -9.4604e-03, -5.8508e-04, -3.4618e-03], [ 7.0477e-04, -9.4700e-04, 4.5419e-04, ..., 4.3259e-03, 5.0336e-05, 2.5964e-04], [ 8.4209e-04, 4.1127e-04, 1.3371e-03, ..., -3.4881e-04, 7.2360e-05, 1.5354e-03], ..., [ 6.4039e-04, -9.1648e-04, -7.8049e-03, ..., 2.6073e-03, 6.5088e-05, -6.1512e-04], [ 8.4448e-04, 9.6893e-04, 3.3283e-03, ..., 8.2245e-03, 8.2672e-05, 2.3403e-03], [ 1.0414e-03, 6.4945e-04, 1.5247e-04, ..., 5.5656e-03, 5.3453e-04, 2.7370e-04]], device='cuda:0') Epoch 223, bias, value: tensor([-0.0224, 0.0324, 0.0054, -0.0111, 0.0216, -0.0290, 0.0048, -0.0044, -0.0018, -0.0127], device='cuda:0'), grad: tensor([-0.0044, 0.0173, 0.0046, 0.0491, -0.0539, -0.0088, -0.0236, -0.0196, 0.0489, -0.0095], device='cuda:0') 100 0.0001 changing lr epoch 222, time 214.32, cls_loss 0.5663 cls_loss_mapping 0.0045 cls_loss_causal 0.4862 re_mapping 0.0116 re_causal 0.0252 /// teacc 98.54 lr 0.00010000 Epoch 224, weight, value: tensor([[-0.0735, -0.1106, -0.0860, ..., -0.0322, 0.0490, -0.0977], [-0.0700, -0.0798, -0.0616, ..., 0.1030, -0.0329, 0.1982], [ 0.0052, -0.0171, -0.0323, ..., -0.0141, -0.0096, -0.0650], ..., [ 0.0273, -0.0992, 0.1436, ..., 0.0265, -0.0783, 0.0446], [-0.0351, 0.0589, -0.1320, ..., -0.0527, 0.0119, -0.0776], [-0.0559, 0.0655, 0.0499, ..., -0.0505, -0.0438, -0.0223]], device='cuda:0'), grad: tensor([[ 0.0006, 0.0002, 0.0001, ..., -0.0014, 0.0000, 0.0001], [ 0.0066, 0.0004, 0.0003, ..., 0.0067, 0.0000, 0.0030], [ 0.0011, 0.0007, 0.0003, ..., 0.0046, 0.0000, 0.0019], ..., [-0.0056, -0.0047, -0.0063, ..., -0.0095, 0.0000, -0.0092], [-0.0002, -0.0018, -0.0001, ..., -0.0047, 0.0000, 0.0017], [ 0.0016, 0.0009, 0.0011, ..., 0.0044, 0.0000, 0.0031]], device='cuda:0') Epoch 224, bias, value: tensor([-0.0231, 0.0330, 0.0048, -0.0104, 0.0220, -0.0287, 0.0057, -0.0047, -0.0019, -0.0138], device='cuda:0'), grad: tensor([-0.0156, 0.0368, 0.0228, 0.0197, 0.0014, -0.0449, 0.0172, -0.0463, -0.0126, 0.0214], device='cuda:0') 100 0.0001 changing lr epoch 223, time 213.97, cls_loss 0.5663 cls_loss_mapping 0.0071 cls_loss_causal 0.5022 re_mapping 0.0114 re_causal 0.0251 /// teacc 98.83 lr 0.00010000 Epoch 225, weight, value: tensor([[-0.0731, -0.1099, -0.0862, ..., -0.0325, 0.0493, -0.0972], [-0.0709, -0.0822, -0.0620, ..., 0.1024, -0.0332, 0.1987], [ 0.0047, -0.0149, -0.0302, ..., -0.0135, -0.0102, -0.0658], ..., [ 0.0278, -0.0980, 0.1438, ..., 0.0267, -0.0784, 0.0430], [-0.0345, 0.0598, -0.1324, ..., -0.0527, 0.0114, -0.0786], [-0.0553, 0.0646, 0.0494, ..., -0.0505, -0.0437, -0.0212]], device='cuda:0'), grad: tensor([[ 2.8461e-06, 2.2831e-03, 3.6508e-05, ..., 6.0158e-03, 3.4809e-05, 6.7651e-05], [ 1.8108e-04, 3.0541e-04, -6.8998e-04, ..., -5.6992e-03, 1.3039e-06, 1.8954e-04], [ 2.4176e-04, -1.1034e-03, 1.5755e-03, ..., -1.6754e-02, 7.4327e-05, -6.0081e-05], ..., [ 7.0877e-03, 5.5695e-04, 4.9019e-03, ..., 2.5116e-02, 3.5707e-06, 5.8556e-03], [ 6.0081e-05, -3.9253e-03, -2.9683e-04, ..., -4.1046e-03, -5.9462e-04, -1.8370e-04], [ 7.0632e-05, -7.6103e-04, -2.5978e-03, ..., 2.3766e-03, 4.7684e-06, -2.7885e-03]], device='cuda:0') Epoch 225, bias, value: tensor([-0.0231, 0.0323, 0.0046, -0.0103, 0.0221, -0.0284, 0.0060, -0.0051, -0.0020, -0.0134], device='cuda:0'), grad: tensor([ 3.7628e-02, -7.4997e-03, -3.1494e-02, -7.7248e-03, 3.2043e-02, -4.3427e-02, -1.8875e-02, 5.7281e-02, -1.7914e-02, -1.9684e-05], device='cuda:0') 100 0.0001 changing lr epoch 224, time 214.78, cls_loss 0.5742 cls_loss_mapping 0.0047 cls_loss_causal 0.4994 re_mapping 0.0109 re_causal 0.0249 /// teacc 98.71 lr 0.00010000 Epoch 226, weight, value: tensor([[-0.0722, -0.1093, -0.0850, ..., -0.0332, 0.0495, -0.0977], [-0.0717, -0.0824, -0.0617, ..., 0.1025, -0.0334, 0.1998], [ 0.0031, -0.0158, -0.0301, ..., -0.0144, -0.0100, -0.0664], ..., [ 0.0287, -0.0974, 0.1435, ..., 0.0276, -0.0793, 0.0425], [-0.0341, 0.0593, -0.1324, ..., -0.0523, 0.0128, -0.0786], [-0.0547, 0.0644, 0.0493, ..., -0.0500, -0.0438, -0.0202]], device='cuda:0'), grad: tensor([[ 5.2786e-04, 8.1718e-05, 4.0793e-04, ..., 3.3360e-03, 3.3450e-04, 1.3947e-04], [ 9.3746e-04, 4.4376e-05, 2.8014e-04, ..., -5.2910e-03, 2.3520e-04, -1.7614e-03], [ 1.2846e-03, 1.2589e-04, 1.0080e-03, ..., 3.7193e-03, 3.9816e-04, 4.1628e-04], ..., [ 8.4782e-04, 8.3148e-05, 3.0208e-04, ..., -1.9970e-03, 1.4424e-04, -2.3384e-03], [ 8.4448e-04, 2.3890e-04, 1.0691e-03, ..., 4.7951e-03, 2.8586e-04, -1.2684e-04], [ 7.0572e-04, 7.4565e-05, 2.8324e-04, ..., 3.5191e-03, 1.2362e-04, 6.8188e-04]], device='cuda:0') Epoch 226, bias, value: tensor([-0.0241, 0.0325, 0.0036, -0.0095, 0.0217, -0.0282, 0.0061, -0.0046, -0.0016, -0.0132], device='cuda:0'), grad: tensor([ 0.0205, -0.0203, 0.0284, -0.0641, -0.0561, 0.0060, 0.0310, -0.0166, 0.0341, 0.0371], device='cuda:0') 100 0.0001 changing lr epoch 225, time 214.43, cls_loss 0.5869 cls_loss_mapping 0.0046 cls_loss_causal 0.5136 re_mapping 0.0115 re_causal 0.0262 /// teacc 98.68 lr 0.00010000 Epoch 227, weight, value: tensor([[-0.0711, -0.1111, -0.0851, ..., -0.0326, 0.0497, -0.0980], [-0.0719, -0.0826, -0.0610, ..., 0.1026, -0.0338, 0.2002], [ 0.0030, -0.0158, -0.0309, ..., -0.0148, -0.0099, -0.0671], ..., [ 0.0297, -0.0968, 0.1437, ..., 0.0277, -0.0791, 0.0433], [-0.0352, 0.0601, -0.1330, ..., -0.0530, 0.0137, -0.0788], [-0.0554, 0.0637, 0.0488, ..., -0.0490, -0.0434, -0.0199]], device='cuda:0'), grad: tensor([[-2.5005e-03, 1.7715e-04, -8.5831e-03, ..., -1.4473e-02, -3.4161e-03, -1.4687e-03], [ 1.1892e-03, 2.4891e-04, 4.1389e-04, ..., 3.2196e-03, 6.1655e-04, 5.3740e-04], [-2.5520e-03, 7.3814e-04, 1.7700e-03, ..., -3.4695e-03, -9.1324e-03, 7.1144e-04], ..., [ 5.8460e-04, 1.7624e-03, 3.5114e-03, ..., 5.6610e-03, 9.4986e-03, 1.0586e-03], [ 3.5262e-04, -6.5470e-04, -1.2217e-03, ..., -3.3951e-03, 4.2176e-04, 9.1121e-06], [ 5.6934e-04, 1.6189e-04, 8.1205e-04, ..., 4.4289e-03, 8.1015e-04, 5.3644e-04]], device='cuda:0') Epoch 227, bias, value: tensor([-0.0239, 0.0325, 0.0042, -0.0092, 0.0219, -0.0296, 0.0054, -0.0047, -0.0013, -0.0128], device='cuda:0'), grad: tensor([-0.0480, 0.0073, -0.0360, -0.0316, 0.0310, 0.0374, 0.0148, 0.0127, -0.0152, 0.0276], device='cuda:0') 100 0.0001 changing lr epoch 226, time 214.64, cls_loss 0.5610 cls_loss_mapping 0.0046 cls_loss_causal 0.4914 re_mapping 0.0112 re_causal 0.0247 /// teacc 98.69 lr 0.00010000 Epoch 228, weight, value: tensor([[-0.0704, -0.1111, -0.0857, ..., -0.0326, 0.0507, -0.0977], [-0.0719, -0.0809, -0.0613, ..., 0.1030, -0.0347, 0.2002], [ 0.0016, -0.0163, -0.0322, ..., -0.0157, -0.0102, -0.0684], ..., [ 0.0298, -0.0976, 0.1451, ..., 0.0285, -0.0770, 0.0433], [-0.0354, 0.0600, -0.1332, ..., -0.0524, 0.0134, -0.0789], [-0.0546, 0.0636, 0.0481, ..., -0.0504, -0.0444, -0.0198]], device='cuda:0'), grad: tensor([[-2.8553e-03, -2.4071e-03, -3.1495e-04, ..., -5.1155e-03, -3.2539e-03, 7.4387e-05], [ 1.1921e-04, 1.9062e-04, 1.4997e-04, ..., 2.4853e-03, 1.4198e-04, 1.5450e-04], [ 6.7186e-04, 1.7548e-03, 3.6740e-04, ..., 8.5526e-03, 8.2207e-04, 1.0949e-04], ..., [ 1.6689e-04, 5.9509e-04, -1.9741e-03, ..., -1.3649e-02, 2.0218e-04, -1.7357e-03], [ 2.1684e-04, 2.0084e-03, 1.1826e-04, ..., -5.1003e-03, 2.7442e-04, 1.8567e-05], [ 1.5056e-04, 4.7970e-04, 1.1988e-03, ..., 1.8883e-03, 2.4343e-04, 1.2550e-03]], device='cuda:0') Epoch 228, bias, value: tensor([-0.0240, 0.0330, 0.0026, -0.0089, 0.0224, -0.0295, 0.0056, -0.0042, -0.0008, -0.0136], device='cuda:0'), grad: tensor([-0.0011, -0.0101, 0.0345, -0.0046, 0.0180, 0.0070, 0.0244, -0.0599, -0.0038, -0.0044], device='cuda:0') 100 0.0001 changing lr epoch 227, time 214.34, cls_loss 0.5399 cls_loss_mapping 0.0051 cls_loss_causal 0.4694 re_mapping 0.0108 re_causal 0.0234 /// teacc 98.65 lr 0.00010000 Epoch 229, weight, value: tensor([[-0.0706, -0.1106, -0.0863, ..., -0.0339, 0.0485, -0.0980], [-0.0701, -0.0812, -0.0621, ..., 0.1019, -0.0345, 0.2030], [ 0.0034, -0.0164, -0.0329, ..., -0.0146, -0.0102, -0.0684], ..., [ 0.0287, -0.0966, 0.1455, ..., 0.0290, -0.0763, 0.0420], [-0.0361, 0.0589, -0.1334, ..., -0.0522, 0.0136, -0.0798], [-0.0540, 0.0633, 0.0486, ..., -0.0503, -0.0451, -0.0184]], device='cuda:0'), grad: tensor([[ 5.6159e-07, 2.9802e-04, 3.5906e-04, ..., 2.8267e-03, -2.3251e-03, 2.0485e-03], [ 7.1526e-07, 2.2382e-05, -2.7585e-04, ..., -1.1169e-02, 1.1958e-05, -1.0422e-02], [-3.3993e-06, -1.1711e-03, -9.2208e-05, ..., -5.0011e-03, 1.0979e-04, 8.1539e-04], ..., [ 1.9938e-05, 1.1569e-04, -7.0906e-04, ..., -2.2745e-04, 4.0245e-04, -2.9793e-03], [ 1.5870e-05, -3.5620e-04, 1.4293e-04, ..., 2.1343e-03, 2.8110e-04, 1.8787e-03], [-6.1452e-05, 4.0233e-05, 1.3518e-04, ..., 3.1624e-03, 1.5128e-04, 2.0161e-03]], device='cuda:0') Epoch 229, bias, value: tensor([-0.0243, 0.0332, 0.0024, -0.0092, 0.0227, -0.0296, 0.0059, -0.0037, -0.0010, -0.0138], device='cuda:0'), grad: tensor([-0.0116, -0.0450, -0.0069, 0.0139, -0.0077, 0.0103, 0.0267, -0.0065, 0.0127, 0.0143], device='cuda:0') 100 0.0001 changing lr epoch 228, time 214.56, cls_loss 0.5712 cls_loss_mapping 0.0068 cls_loss_causal 0.5101 re_mapping 0.0107 re_causal 0.0242 /// teacc 98.61 lr 0.00010000 Epoch 230, weight, value: tensor([[-0.0709, -0.1119, -0.0876, ..., -0.0350, 0.0492, -0.0993], [-0.0702, -0.0806, -0.0622, ..., 0.1019, -0.0342, 0.2021], [ 0.0043, -0.0158, -0.0332, ..., -0.0147, -0.0108, -0.0697], ..., [ 0.0284, -0.0968, 0.1461, ..., 0.0289, -0.0756, 0.0429], [-0.0361, 0.0586, -0.1340, ..., -0.0530, 0.0137, -0.0796], [-0.0535, 0.0617, 0.0483, ..., -0.0494, -0.0459, -0.0191]], device='cuda:0'), grad: tensor([[ 2.9150e-07, 1.0672e-03, 6.2622e-06, ..., -4.0817e-03, 5.4240e-05, 1.9538e-04], [ 4.0047e-07, 1.9634e-04, 3.0845e-06, ..., 4.3907e-03, 8.6948e-06, -6.1572e-05], [ 9.0674e-06, 6.2037e-04, 3.1412e-05, ..., 2.7390e-03, 1.4491e-05, 1.5473e-04], ..., [ 3.5495e-05, 2.6155e-04, 1.9670e-04, ..., 3.4332e-03, 1.6153e-04, 5.6124e-04], [ 9.9242e-06, 4.2000e-03, 6.9618e-05, ..., 3.5801e-03, 1.0210e-04, 3.9744e-04], [-3.2932e-05, 1.2121e-03, -4.2796e-04, ..., -1.4172e-03, -4.5228e-04, -1.1530e-03]], device='cuda:0') Epoch 230, bias, value: tensor([-0.0250, 0.0329, 0.0009, -0.0087, 0.0223, -0.0282, 0.0067, -0.0032, -0.0013, -0.0137], device='cuda:0'), grad: tensor([-0.0169, 0.0139, 0.0095, -0.0095, -0.0542, 0.0131, 0.0189, 0.0124, 0.0180, -0.0053], device='cuda:0') 100 0.0001 changing lr epoch 229, time 214.54, cls_loss 0.5767 cls_loss_mapping 0.0053 cls_loss_causal 0.4908 re_mapping 0.0109 re_causal 0.0233 /// teacc 98.72 lr 0.00010000 Epoch 231, weight, value: tensor([[-0.0705, -0.1122, -0.0894, ..., -0.0346, 0.0504, -0.0989], [-0.0705, -0.0804, -0.0631, ..., 0.1005, -0.0345, 0.2028], [ 0.0051, -0.0165, -0.0319, ..., -0.0144, -0.0111, -0.0726], ..., [ 0.0283, -0.0967, 0.1468, ..., 0.0290, -0.0762, 0.0430], [-0.0363, 0.0577, -0.1340, ..., -0.0528, 0.0128, -0.0800], [-0.0518, 0.0632, 0.0474, ..., -0.0494, -0.0469, -0.0197]], device='cuda:0'), grad: tensor([[ 1.3900e-04, 7.6354e-05, 7.6914e-04, ..., 1.9569e-03, -9.5129e-04, 8.3971e-04], [-2.3613e-03, -1.5015e-02, -5.2299e-03, ..., -4.5593e-02, 3.9995e-05, -7.2708e-03], [ 9.7752e-05, 4.7188e-03, 2.7313e-03, ..., 1.2878e-02, 2.5034e-04, -7.3528e-04], ..., [ 4.4435e-05, 2.4700e-03, 2.2233e-04, ..., 1.0353e-02, 2.6464e-05, 1.8654e-03], [ 2.5678e-04, 2.1191e-03, 1.4353e-03, ..., 4.0894e-03, 9.5129e-04, 1.4772e-03], [ 4.7731e-04, -1.3447e-03, 1.3971e-03, ..., 8.3313e-03, 2.9683e-04, 1.4420e-03]], device='cuda:0') Epoch 231, bias, value: tensor([-0.0251, 0.0317, 0.0008, -0.0093, 0.0238, -0.0279, 0.0055, -0.0022, -0.0008, -0.0139], device='cuda:0'), grad: tensor([ 0.0060, -0.0731, 0.0141, 0.0069, -0.0076, 0.0104, -0.0202, 0.0261, 0.0183, 0.0192], device='cuda:0') 100 0.0001 changing lr epoch 230, time 214.63, cls_loss 0.5712 cls_loss_mapping 0.0051 cls_loss_causal 0.4958 re_mapping 0.0109 re_causal 0.0246 /// teacc 98.74 lr 0.00010000 Epoch 232, weight, value: tensor([[-0.0701, -0.1123, -0.0887, ..., -0.0354, 0.0504, -0.1002], [-0.0707, -0.0797, -0.0628, ..., 0.1006, -0.0355, 0.2027], [ 0.0054, -0.0166, -0.0329, ..., -0.0133, -0.0137, -0.0706], ..., [ 0.0291, -0.0977, 0.1482, ..., 0.0295, -0.0770, 0.0437], [-0.0363, 0.0589, -0.1311, ..., -0.0530, 0.0147, -0.0796], [-0.0522, 0.0640, 0.0473, ..., -0.0496, -0.0464, -0.0215]], device='cuda:0'), grad: tensor([[ 2.4866e-06, 2.6250e-04, 8.8036e-05, ..., 8.2302e-04, 4.0627e-04, 1.4424e-04], [ 5.4419e-05, 3.1996e-04, 6.2704e-04, ..., 1.2245e-03, 4.5627e-05, -1.2474e-03], [-5.5695e-04, 1.3208e-04, -6.8188e-04, ..., -9.0790e-04, 6.5029e-05, -4.5300e-04], ..., [ 4.2605e-04, 1.7910e-03, 5.0240e-03, ..., 1.9670e-04, 2.6211e-05, 2.3632e-03], [ 8.5309e-06, 6.2828e-03, 4.8542e-04, ..., 1.1730e-03, 1.1528e-02, 4.5061e-04], [-3.9153e-06, -1.0872e-03, -3.6030e-03, ..., 1.0967e-03, -5.8144e-05, -2.3346e-03]], device='cuda:0') Epoch 232, bias, value: tensor([-0.0257, 0.0315, 0.0013, -0.0092, 0.0235, -0.0292, 0.0061, -0.0015, -0.0011, -0.0133], device='cuda:0'), grad: tensor([ 0.0132, 0.0147, 0.0053, 0.0095, 0.0179, 0.0032, -0.0523, -0.0313, 0.0186, 0.0012], device='cuda:0') 100 0.0001 changing lr epoch 231, time 214.66, cls_loss 0.5765 cls_loss_mapping 0.0047 cls_loss_causal 0.5064 re_mapping 0.0111 re_causal 0.0256 /// teacc 98.73 lr 0.00010000 Epoch 233, weight, value: tensor([[-0.0697, -0.1135, -0.0889, ..., -0.0355, 0.0492, -0.1017], [-0.0704, -0.0799, -0.0638, ..., 0.1006, -0.0369, 0.2032], [ 0.0051, -0.0167, -0.0324, ..., -0.0127, -0.0140, -0.0709], ..., [ 0.0288, -0.0982, 0.1481, ..., 0.0295, -0.0765, 0.0432], [-0.0363, 0.0590, -0.1305, ..., -0.0528, 0.0156, -0.0793], [-0.0525, 0.0643, 0.0474, ..., -0.0491, -0.0447, -0.0208]], device='cuda:0'), grad: tensor([[ 2.8387e-06, 2.2042e-04, 5.7817e-06, ..., -2.5940e-03, 2.5201e-04, 2.4700e-03], [ 1.4806e-04, 3.3474e-04, 1.8764e-04, ..., 3.1853e-03, 3.8266e-04, 3.0303e-04], [ 2.4331e-04, 5.3883e-04, 3.1638e-04, ..., -3.7918e-03, 5.9938e-04, 6.6853e-04], ..., [-2.1515e-03, 5.2691e-04, -2.8057e-03, ..., -2.0847e-03, 4.8971e-04, -2.2335e-03], [ 5.9307e-05, 5.3358e-04, 8.2135e-05, ..., 2.4242e-03, 6.2084e-04, 2.2531e-04], [ 2.7344e-05, -5.8060e-03, 1.4567e-04, ..., 1.9608e-03, -6.2447e-03, 3.3054e-03]], device='cuda:0') Epoch 233, bias, value: tensor([-0.0252, 0.0317, 0.0010, -0.0096, 0.0228, -0.0293, 0.0059, -0.0016, -0.0008, -0.0125], device='cuda:0'), grad: tensor([-0.0121, 0.0139, -0.0163, -0.0060, 0.0126, -0.0164, 0.0141, 0.0078, 0.0121, -0.0096], device='cuda:0') 100 0.0001 changing lr epoch 232, time 214.26, cls_loss 0.5644 cls_loss_mapping 0.0045 cls_loss_causal 0.4830 re_mapping 0.0109 re_causal 0.0238 /// teacc 98.63 lr 0.00010000 Epoch 234, weight, value: tensor([[-0.0702, -0.1138, -0.0882, ..., -0.0352, 0.0492, -0.1022], [-0.0707, -0.0792, -0.0640, ..., 0.1016, -0.0383, 0.2039], [ 0.0055, -0.0167, -0.0323, ..., -0.0134, -0.0146, -0.0721], ..., [ 0.0278, -0.0979, 0.1483, ..., 0.0298, -0.0763, 0.0428], [-0.0364, 0.0588, -0.1311, ..., -0.0533, 0.0138, -0.0805], [-0.0513, 0.0642, 0.0488, ..., -0.0489, -0.0437, -0.0198]], device='cuda:0'), grad: tensor([[-1.1975e-04, 2.3153e-06, 5.5805e-06, ..., -1.0490e-03, -1.3843e-05, 3.4642e-04], [ 1.7136e-06, 3.3192e-06, -3.0816e-05, ..., 2.3289e-03, 1.5330e-06, 6.4774e-03], [ 7.6771e-04, 8.3148e-05, 1.4350e-05, ..., 2.8667e-03, 6.1281e-06, 4.8733e-04], ..., [ 7.6199e-04, 1.0139e-04, 3.2568e-04, ..., 2.4014e-03, 2.1029e-06, 4.8065e-04], [-2.1954e-03, 1.1092e-04, 7.3004e-04, ..., 1.9588e-03, 3.8123e-04, 1.1520e-03], [ 1.7905e-04, -2.9325e-05, -3.8743e-04, ..., 3.3779e-03, 2.7288e-06, 4.2486e-04]], device='cuda:0') Epoch 234, bias, value: tensor([-0.0255, 0.0324, 0.0010, -0.0092, 0.0221, -0.0289, 0.0063, -0.0027, -0.0010, -0.0120], device='cuda:0'), grad: tensor([-0.0234, 0.0062, 0.0137, 0.0073, -0.0247, -0.0024, -0.0121, 0.0110, 0.0032, 0.0209], device='cuda:0') 100 0.0001 changing lr epoch 233, time 214.07, cls_loss 0.5947 cls_loss_mapping 0.0067 cls_loss_causal 0.5170 re_mapping 0.0111 re_causal 0.0253 /// teacc 98.75 lr 0.00010000 Epoch 235, weight, value: tensor([[-0.0699, -0.1143, -0.0880, ..., -0.0348, 0.0489, -0.1033], [-0.0707, -0.0783, -0.0645, ..., 0.1018, -0.0362, 0.2055], [ 0.0045, -0.0160, -0.0324, ..., -0.0142, -0.0155, -0.0729], ..., [ 0.0272, -0.0984, 0.1466, ..., 0.0303, -0.0762, 0.0422], [-0.0369, 0.0583, -0.1314, ..., -0.0531, 0.0127, -0.0808], [-0.0509, 0.0649, 0.0491, ..., -0.0487, -0.0426, -0.0187]], device='cuda:0'), grad: tensor([[ 8.3074e-06, 1.1742e-04, 9.1016e-05, ..., 6.1703e-04, 1.9252e-04, 6.1846e-04], [ 8.8289e-07, 1.2741e-03, 2.3019e-04, ..., 1.9932e-03, 1.7869e-04, -1.2608e-03], [-6.3121e-05, -2.6822e-04, 1.0884e-04, ..., -1.8063e-03, 1.1981e-04, 1.3602e-04], ..., [ 2.6092e-05, 3.2401e-04, 6.5506e-05, ..., 1.9817e-03, 2.9612e-04, 1.5855e-04], [ 4.4405e-05, 1.0509e-03, 2.0254e-04, ..., 3.6297e-03, 1.8847e-04, 8.9943e-05], [ 1.2733e-05, -3.0518e-03, 5.2124e-05, ..., 1.2131e-03, 3.6049e-04, 2.8076e-03]], device='cuda:0') Epoch 235, bias, value: tensor([-0.0255, 0.0328, 0.0009, -0.0097, 0.0238, -0.0287, 0.0045, -0.0025, -0.0013, -0.0118], device='cuda:0'), grad: tensor([ 0.0101, 0.0037, -0.0083, -0.0040, -0.0082, -0.0322, -0.0377, 0.0342, 0.0347, 0.0076], device='cuda:0') 100 0.0001 changing lr epoch 234, time 214.28, cls_loss 0.5594 cls_loss_mapping 0.0052 cls_loss_causal 0.4838 re_mapping 0.0110 re_causal 0.0245 /// teacc 98.79 lr 0.00010000 Epoch 236, weight, value: tensor([[-0.0696, -0.1144, -0.0875, ..., -0.0345, 0.0503, -0.1021], [-0.0713, -0.0791, -0.0659, ..., 0.1028, -0.0345, 0.2041], [ 0.0049, -0.0151, -0.0322, ..., -0.0141, -0.0157, -0.0732], ..., [ 0.0279, -0.0995, 0.1470, ..., 0.0301, -0.0767, 0.0436], [-0.0370, 0.0574, -0.1318, ..., -0.0540, 0.0133, -0.0820], [-0.0512, 0.0647, 0.0491, ..., -0.0493, -0.0426, -0.0197]], device='cuda:0'), grad: tensor([[ 6.6310e-07, 5.5656e-06, 3.1471e-04, ..., 2.4071e-03, -2.3469e-07, 1.2016e-04], [ 1.4976e-06, 1.1861e-05, 1.5330e-04, ..., 2.9663e-02, 7.8231e-08, 1.9104e-02], [ 7.7412e-06, 4.3482e-05, 1.1454e-03, ..., -1.7593e-02, 4.9174e-07, -1.8692e-02], ..., [ 6.7987e-07, 5.7071e-06, 1.5135e-03, ..., 2.9831e-03, 3.7253e-08, -4.2415e-04], [-1.0349e-05, 6.7800e-06, 1.1616e-03, ..., 5.1804e-03, 2.7940e-08, 6.0225e-04], [ 2.3749e-06, -6.0387e-03, 3.4332e-04, ..., 1.9875e-03, 1.4901e-07, 2.4462e-04]], device='cuda:0') Epoch 236, bias, value: tensor([-0.0256, 0.0333, 0.0010, -0.0094, 0.0243, -0.0289, 0.0042, -0.0021, -0.0024, -0.0120], device='cuda:0'), grad: tensor([-0.0199, 0.0538, -0.0140, 0.0453, -0.0123, -0.0746, -0.0145, 0.0121, 0.0191, 0.0051], device='cuda:0') 100 0.0001 changing lr epoch 235, time 214.52, cls_loss 0.5479 cls_loss_mapping 0.0064 cls_loss_causal 0.4875 re_mapping 0.0110 re_causal 0.0243 /// teacc 98.68 lr 0.00010000 Epoch 237, weight, value: tensor([[-0.0702, -0.1147, -0.0879, ..., -0.0353, 0.0512, -0.1030], [-0.0718, -0.0796, -0.0668, ..., 0.1016, -0.0350, 0.2047], [ 0.0047, -0.0154, -0.0316, ..., -0.0133, -0.0160, -0.0734], ..., [ 0.0276, -0.0996, 0.1481, ..., 0.0292, -0.0773, 0.0430], [-0.0358, 0.0576, -0.1326, ..., -0.0520, 0.0143, -0.0817], [-0.0511, 0.0645, 0.0472, ..., -0.0488, -0.0427, -0.0193]], device='cuda:0'), grad: tensor([[ 2.8110e-04, 7.5698e-05, -7.0419e-03, ..., -5.1498e-03, 6.0380e-05, -7.2403e-03], [ 2.4462e-04, 3.5435e-05, 1.6775e-03, ..., 3.6716e-03, 5.1737e-05, 1.8911e-03], [ 6.2275e-04, 5.4359e-04, -4.5824e-04, ..., 2.1820e-03, -2.2995e-04, -1.8797e-03], ..., [ 1.8370e-04, 4.8876e-05, 1.3533e-03, ..., 5.2414e-03, 1.2457e-04, 2.1420e-03], [ 2.5201e-04, 3.5787e-04, 1.7033e-03, ..., -5.4779e-03, 3.6693e-04, 2.0828e-03], [ 2.3329e-04, 1.0848e-04, 1.4591e-03, ..., -3.0117e-03, 5.4836e-04, 1.9760e-03]], device='cuda:0') Epoch 237, bias, value: tensor([-0.0269, 0.0322, 0.0009, -0.0088, 0.0236, -0.0288, 0.0045, -0.0017, -0.0008, -0.0122], device='cuda:0'), grad: tensor([-0.0104, 0.0109, 0.0174, 0.0257, -0.0159, 0.0159, -0.0121, 0.0004, 0.0036, -0.0355], device='cuda:0') 100 0.0001 changing lr epoch 236, time 213.92, cls_loss 0.5707 cls_loss_mapping 0.0036 cls_loss_causal 0.4901 re_mapping 0.0106 re_causal 0.0250 /// teacc 98.69 lr 0.00010000 Epoch 238, weight, value: tensor([[-0.0700, -0.1144, -0.0879, ..., -0.0344, 0.0511, -0.1041], [-0.0704, -0.0802, -0.0659, ..., 0.1016, -0.0356, 0.2056], [ 0.0039, -0.0159, -0.0308, ..., -0.0128, -0.0157, -0.0731], ..., [ 0.0285, -0.0999, 0.1485, ..., 0.0290, -0.0778, 0.0429], [-0.0362, 0.0585, -0.1337, ..., -0.0522, 0.0141, -0.0815], [-0.0517, 0.0645, 0.0473, ..., -0.0487, -0.0426, -0.0198]], device='cuda:0'), grad: tensor([[ 1.4894e-05, 2.0891e-05, 4.9859e-05, ..., 2.0332e-03, 1.2791e-04, 1.0548e-03], [ 5.3197e-06, 3.1948e-05, 1.6344e-04, ..., -3.0899e-03, 2.8744e-05, 1.7939e-03], [ 1.2450e-05, 1.3161e-04, 3.0541e-04, ..., 1.9245e-03, -6.1132e-06, 1.1034e-03], ..., [-1.0335e-04, 3.2485e-05, -1.5736e-03, ..., 1.0071e-03, 2.3589e-05, -3.8099e-04], [ 4.0717e-06, 3.6359e-04, 2.3174e-04, ..., -7.8888e-03, 1.2007e-03, -7.0915e-03], [ 6.5506e-05, 2.3976e-05, 6.7234e-04, ..., 1.8244e-03, 4.2528e-05, 1.5345e-03]], device='cuda:0') Epoch 238, bias, value: tensor([-0.0262, 0.0319, 0.0002, -0.0089, 0.0232, -0.0298, 0.0063, -0.0013, -0.0006, -0.0127], device='cuda:0'), grad: tensor([ 0.0100, -0.0126, 0.0099, 0.0061, 0.0063, 0.0071, 0.0026, 0.0060, -0.0460, 0.0105], device='cuda:0') 100 0.0001 changing lr epoch 237, time 214.15, cls_loss 0.5794 cls_loss_mapping 0.0046 cls_loss_causal 0.5053 re_mapping 0.0105 re_causal 0.0253 /// teacc 98.65 lr 0.00010000 Epoch 239, weight, value: tensor([[-0.0706, -0.1147, -0.0887, ..., -0.0346, 0.0510, -0.1051], [-0.0719, -0.0810, -0.0666, ..., 0.1016, -0.0356, 0.2066], [ 0.0048, -0.0157, -0.0309, ..., -0.0126, -0.0166, -0.0738], ..., [ 0.0291, -0.1021, 0.1493, ..., 0.0287, -0.0786, 0.0425], [-0.0362, 0.0589, -0.1345, ..., -0.0527, 0.0150, -0.0814], [-0.0518, 0.0656, 0.0467, ..., -0.0487, -0.0427, -0.0196]], device='cuda:0'), grad: tensor([[-7.9930e-05, 1.6773e-04, 1.1188e-04, ..., -2.7351e-03, 8.7440e-05, 8.8811e-05], [ 1.1295e-05, 5.1641e-04, 7.1669e-04, ..., 6.7043e-04, 1.2684e-04, 8.7166e-04], [ 2.1294e-05, 4.6682e-04, -8.6844e-05, ..., -3.2959e-03, 1.0335e-04, -3.1662e-04], ..., [ 6.4746e-06, -8.2350e-04, -2.0351e-03, ..., 1.3351e-04, 1.2970e-04, 1.0498e-02], [-3.5614e-05, -9.6130e-03, 5.6791e-04, ..., -7.2861e-04, 1.2290e-04, 8.5175e-05], [ 1.6391e-05, 1.6708e-03, 6.0834e-06, ..., -2.0046e-03, 8.7559e-05, 5.9471e-03]], device='cuda:0') Epoch 239, bias, value: tensor([-0.0274, 0.0316, 0.0005, -0.0082, 0.0236, -0.0291, 0.0069, -0.0020, -0.0011, -0.0124], device='cuda:0'), grad: tensor([ 0.0129, -0.0031, -0.0277, 0.0425, -0.0438, 0.0210, 0.0203, 0.0035, -0.0292, 0.0035], device='cuda:0') 100 0.0001 changing lr epoch 238, time 214.82, cls_loss 0.6129 cls_loss_mapping 0.0051 cls_loss_causal 0.5329 re_mapping 0.0104 re_causal 0.0245 /// teacc 98.58 lr 0.00010000 Epoch 240, weight, value: tensor([[-0.0712, -0.1159, -0.0902, ..., -0.0359, 0.0514, -0.1059], [-0.0719, -0.0820, -0.0674, ..., 0.1003, -0.0356, 0.2055], [ 0.0051, -0.0147, -0.0312, ..., -0.0117, -0.0171, -0.0726], ..., [ 0.0296, -0.1006, 0.1500, ..., 0.0284, -0.0789, 0.0430], [-0.0366, 0.0591, -0.1347, ..., -0.0516, 0.0160, -0.0821], [-0.0524, 0.0662, 0.0473, ..., -0.0492, -0.0433, -0.0201]], device='cuda:0'), grad: tensor([[ 4.9859e-05, 1.5497e-04, -2.6245e-03, ..., 1.5574e-03, -1.6623e-03, -2.7332e-03], [ 2.0355e-05, 9.0599e-05, 3.8624e-04, ..., 4.4327e-03, 7.1943e-05, 1.9722e-03], [ 2.8014e-04, 3.4595e-04, 2.2831e-03, ..., 6.6109e-03, 2.8086e-04, 8.5688e-04], ..., [ 2.0355e-05, 2.8029e-05, 4.7255e-04, ..., -1.1168e-03, 7.4387e-05, 4.0092e-03], [ 2.8725e-03, 3.5515e-03, 9.8038e-04, ..., 2.8610e-03, 3.3188e-04, -4.1542e-03], [ 4.1938e-04, 3.8242e-03, -2.7161e-03, ..., -1.8753e-02, 1.9634e-04, -2.0638e-03]], device='cuda:0') Epoch 240, bias, value: tensor([-0.0286, 0.0311, 0.0006, -0.0079, 0.0235, -0.0284, 0.0070, -0.0018, -0.0008, -0.0126], device='cuda:0'), grad: tensor([ 0.0045, 0.0224, 0.0296, -0.0446, 0.0248, 0.0092, -0.0345, 0.0165, 0.0366, -0.0645], device='cuda:0') 100 0.0001 changing lr epoch 239, time 215.05, cls_loss 0.5754 cls_loss_mapping 0.0051 cls_loss_causal 0.4988 re_mapping 0.0109 re_causal 0.0245 /// teacc 98.74 lr 0.00010000 Epoch 241, weight, value: tensor([[-0.0715, -0.1157, -0.0901, ..., -0.0382, 0.0517, -0.1045], [-0.0730, -0.0830, -0.0679, ..., 0.1010, -0.0360, 0.2054], [ 0.0048, -0.0149, -0.0319, ..., -0.0120, -0.0144, -0.0727], ..., [ 0.0307, -0.0998, 0.1500, ..., 0.0294, -0.0796, 0.0424], [-0.0355, 0.0586, -0.1352, ..., -0.0529, 0.0149, -0.0818], [-0.0531, 0.0658, 0.0477, ..., -0.0476, -0.0430, -0.0200]], device='cuda:0'), grad: tensor([[ 4.3601e-05, 7.3493e-05, 5.2977e-04, ..., -4.5280e-03, 1.2901e-02, 7.5221e-05], [ 2.1672e-04, -9.5367e-03, 5.2595e-04, ..., -3.0708e-03, 1.5450e-04, -1.3008e-03], [ 1.0042e-03, 1.1057e-04, 1.7834e-03, ..., 6.1226e-03, 5.7888e-04, 1.1292e-03], ..., [-5.9967e-03, 1.7703e-04, 1.2083e-03, ..., 6.3934e-03, 2.2519e-04, -8.6737e-04], [ 5.2977e-04, 9.6512e-03, 9.0647e-04, ..., 7.3738e-03, 5.0259e-04, 8.7404e-04], [ 7.6370e-03, 1.7653e-03, -1.6508e-03, ..., -8.7738e-03, 9.1028e-04, 3.3340e-03]], device='cuda:0') Epoch 241, bias, value: tensor([-0.0296, 0.0311, 0.0017, -0.0084, 0.0230, -0.0284, 0.0069, -0.0010, -0.0021, -0.0112], device='cuda:0'), grad: tensor([-0.0099, -0.0255, 0.0215, -0.0442, -0.0216, 0.0067, -0.0120, 0.0331, 0.0423, 0.0095], device='cuda:0') 100 0.0001 changing lr epoch 240, time 214.88, cls_loss 0.5958 cls_loss_mapping 0.0047 cls_loss_causal 0.5138 re_mapping 0.0110 re_causal 0.0250 /// teacc 98.69 lr 0.00010000 Epoch 242, weight, value: tensor([[-0.0702, -0.1157, -0.0889, ..., -0.0391, 0.0525, -0.1033], [-0.0725, -0.0829, -0.0666, ..., 0.1013, -0.0367, 0.2054], [ 0.0034, -0.0159, -0.0307, ..., -0.0122, -0.0138, -0.0711], ..., [ 0.0306, -0.0984, 0.1494, ..., 0.0312, -0.0807, 0.0415], [-0.0357, 0.0598, -0.1358, ..., -0.0523, 0.0154, -0.0812], [-0.0542, 0.0657, 0.0464, ..., -0.0493, -0.0439, -0.0210]], device='cuda:0'), grad: tensor([[-2.8181e-04, 1.9276e-04, 3.5256e-05, ..., -7.6790e-03, 1.8060e-04, 7.4506e-09], [ 9.1434e-05, 2.6867e-05, 2.5079e-05, ..., 5.6534e-03, 6.5804e-05, 5.5879e-08], [ 8.2588e-04, 4.9639e-04, 7.2622e-04, ..., 1.0353e-02, 5.0879e-04, 2.6077e-08], ..., [ 8.5115e-05, 6.4909e-05, 7.4983e-05, ..., -3.3798e-03, -3.9577e-04, 1.3784e-07], [-9.9373e-04, 6.6161e-05, 7.6890e-05, ..., 7.0906e-04, 8.9645e-05, 9.1270e-08], [ 3.7694e-04, 2.3520e-04, 2.1601e-04, ..., -3.2673e-03, 1.4579e-04, 7.4506e-07]], device='cuda:0') Epoch 242, bias, value: tensor([-3.0170e-02, 3.1824e-02, 1.8377e-03, -9.3172e-03, 2.3220e-02, -2.9180e-02, 7.8249e-03, 8.9777e-05, -1.8461e-03, -1.2339e-02], device='cuda:0'), grad: tensor([-0.0230, 0.0270, 0.0348, 0.0250, 0.0120, -0.0424, 0.0211, -0.0144, -0.0231, -0.0170], device='cuda:0') 100 0.0001 changing lr epoch 241, time 214.49, cls_loss 0.5373 cls_loss_mapping 0.0046 cls_loss_causal 0.4704 re_mapping 0.0109 re_causal 0.0243 /// teacc 98.79 lr 0.00010000 Epoch 243, weight, value: tensor([[-0.0717, -0.1167, -0.0898, ..., -0.0391, 0.0524, -0.1040], [-0.0694, -0.0825, -0.0659, ..., 0.1015, -0.0388, 0.2054], [ 0.0045, -0.0165, -0.0297, ..., -0.0116, -0.0124, -0.0696], ..., [ 0.0304, -0.0993, 0.1499, ..., 0.0312, -0.0812, 0.0420], [-0.0358, 0.0590, -0.1363, ..., -0.0526, 0.0162, -0.0820], [-0.0543, 0.0649, 0.0458, ..., -0.0506, -0.0446, -0.0212]], device='cuda:0'), grad: tensor([[ 8.2627e-06, 1.0833e-05, 2.4080e-05, ..., 3.3131e-03, 2.5578e-03, 3.0689e-03], [ 4.9584e-06, 1.8275e-04, 3.0756e-05, ..., -5.4207e-03, -4.6425e-03, -3.7537e-03], [-9.0504e-04, 3.8719e-03, -8.6689e-04, ..., 6.4583e-03, 5.7945e-03, -3.5381e-03], ..., [ 7.0429e-04, 2.2721e-04, 8.0347e-04, ..., 4.0321e-03, 1.4286e-03, 1.2913e-03], [ 3.7241e-04, -3.6297e-03, 1.7157e-03, ..., -9.2697e-03, 1.5545e-03, 1.5831e-03], [ 7.0512e-05, 6.6137e-04, 2.3060e-06, ..., -5.2719e-03, -7.4654e-03, 5.6028e-04]], device='cuda:0') Epoch 243, bias, value: tensor([-0.0299, 0.0318, 0.0018, -0.0094, 0.0230, -0.0277, 0.0066, 0.0002, -0.0009, -0.0136], device='cuda:0'), grad: tensor([ 0.0132, -0.0222, 0.0095, 0.0056, 0.0196, 0.0320, -0.0234, 0.0246, -0.0311, -0.0278], device='cuda:0') 100 0.0001 changing lr epoch 242, time 214.67, cls_loss 0.5616 cls_loss_mapping 0.0051 cls_loss_causal 0.5045 re_mapping 0.0103 re_causal 0.0239 /// teacc 98.68 lr 0.00010000 Epoch 244, weight, value: tensor([[-0.0718, -0.1132, -0.0903, ..., -0.0389, 0.0530, -0.1038], [-0.0692, -0.0835, -0.0664, ..., 0.1010, -0.0362, 0.2054], [ 0.0048, -0.0172, -0.0303, ..., -0.0119, -0.0124, -0.0699], ..., [ 0.0301, -0.0995, 0.1512, ..., 0.0312, -0.0806, 0.0429], [-0.0359, 0.0586, -0.1362, ..., -0.0527, 0.0152, -0.0832], [-0.0541, 0.0659, 0.0451, ..., -0.0501, -0.0409, -0.0205]], device='cuda:0'), grad: tensor([[ 3.7253e-08, 3.8052e-04, 3.4504e-03, ..., 1.3247e-03, 6.3360e-05, -1.2978e-02], [ 8.5682e-08, 6.2132e-04, 7.6103e-04, ..., 2.2717e-03, 1.8060e-04, 1.3990e-03], [ 4.3027e-07, 7.0095e-04, -1.4252e-02, ..., -6.4659e-03, 2.7204e-04, -3.7575e-03], ..., [ 6.1654e-07, -3.4475e-04, 2.1839e-03, ..., 1.3428e-03, -1.9801e-04, -3.9315e-04], [ 4.4703e-07, -4.0779e-03, -9.8801e-04, ..., -9.9869e-03, -1.0023e-03, 2.4662e-03], [ 8.6986e-07, 1.4267e-03, 2.6360e-03, ..., 3.4637e-03, 3.9053e-04, 3.6030e-03]], device='cuda:0') Epoch 244, bias, value: tensor([-0.0295, 0.0323, 0.0014, -0.0097, 0.0233, -0.0288, 0.0066, 0.0010, -0.0008, -0.0139], device='cuda:0'), grad: tensor([-0.0242, 0.0115, -0.0415, 0.0107, -0.0053, 0.0259, 0.0285, 0.0122, -0.0367, 0.0190], device='cuda:0') 100 0.0001 changing lr epoch 243, time 214.57, cls_loss 0.5822 cls_loss_mapping 0.0049 cls_loss_causal 0.5070 re_mapping 0.0106 re_causal 0.0253 /// teacc 98.72 lr 0.00010000 Epoch 245, weight, value: tensor([[-0.0708, -0.1147, -0.0911, ..., -0.0393, 0.0526, -0.1047], [-0.0685, -0.0822, -0.0662, ..., 0.1007, -0.0345, 0.2062], [ 0.0048, -0.0179, -0.0303, ..., -0.0128, -0.0130, -0.0692], ..., [ 0.0304, -0.0998, 0.1513, ..., 0.0305, -0.0804, 0.0426], [-0.0371, 0.0589, -0.1364, ..., -0.0525, 0.0138, -0.0845], [-0.0548, 0.0654, 0.0454, ..., -0.0515, -0.0405, -0.0205]], device='cuda:0'), grad: tensor([[ 1.5676e-05, 1.6809e-04, 5.2547e-04, ..., 3.1223e-03, 6.4707e-04, 9.2888e-04], [ 4.6678e-06, 6.2084e-04, 6.1321e-04, ..., -6.5689e-03, -1.1843e-04, -6.7177e-03], [ 6.2361e-06, 3.1781e-04, -2.4872e-03, ..., -1.1505e-02, -2.3384e-03, 1.2960e-03], ..., [ 2.1961e-06, 1.7347e-03, 3.3402e-04, ..., 2.9850e-03, 2.0733e-03, 2.0313e-03], [-5.9664e-05, -1.5154e-03, 6.0987e-04, ..., 3.5038e-03, 4.3011e-04, 1.3494e-03], [ 1.3724e-05, -4.5929e-03, -3.0346e-03, ..., 2.6302e-03, 9.4056e-05, -3.5501e-04]], device='cuda:0') Epoch 245, bias, value: tensor([-0.0293, 0.0331, 0.0001, -0.0079, 0.0225, -0.0287, 0.0063, 0.0007, -0.0004, -0.0145], device='cuda:0'), grad: tensor([ 0.0155, -0.0155, -0.0496, 0.0151, 0.0066, -0.0101, -0.0109, 0.0181, 0.0186, 0.0121], device='cuda:0') 100 0.0001 changing lr epoch 244, time 214.42, cls_loss 0.5706 cls_loss_mapping 0.0048 cls_loss_causal 0.4838 re_mapping 0.0103 re_causal 0.0229 /// teacc 98.72 lr 0.00010000 Epoch 246, weight, value: tensor([[-0.0717, -0.1140, -0.0915, ..., -0.0400, 0.0536, -0.1049], [-0.0688, -0.0840, -0.0664, ..., 0.1006, -0.0348, 0.2075], [ 0.0049, -0.0172, -0.0308, ..., -0.0119, -0.0118, -0.0695], ..., [ 0.0304, -0.1001, 0.1522, ..., 0.0299, -0.0815, 0.0425], [-0.0369, 0.0597, -0.1362, ..., -0.0521, 0.0134, -0.0852], [-0.0544, 0.0646, 0.0452, ..., -0.0517, -0.0422, -0.0203]], device='cuda:0'), grad: tensor([[ 1.6654e-04, 2.1136e-04, 3.0637e-05, ..., 5.2185e-03, 4.1699e-04, 2.3580e-04], [ 4.0746e-04, 1.3959e-04, 1.5080e-04, ..., -1.4915e-02, 1.5423e-05, 3.3140e-05], [ 3.6573e-04, 4.3941e-04, 4.0221e-04, ..., 1.0727e-02, 2.2352e-04, 2.8706e-04], ..., [ 2.1768e-04, 3.5143e-04, 2.4939e-04, ..., 3.9101e-03, 6.1572e-05, 3.4785e-04], [ 2.3365e-04, 6.8378e-04, 5.8365e-04, ..., -2.8419e-03, 3.5906e-04, 4.9877e-04], [-1.5326e-03, 2.0332e-03, 2.9583e-03, ..., -1.2215e-02, -1.5554e-03, 2.2984e-03]], device='cuda:0') Epoch 246, bias, value: tensor([-3.0795e-02, 3.3426e-02, 1.6408e-03, -6.8361e-03, 2.2200e-02, -2.9178e-02, 6.2983e-03, -1.6305e-05, 9.1407e-05, -1.5115e-02], device='cuda:0'), grad: tensor([ 0.0163, -0.0177, 0.0255, 0.0109, 0.0010, -0.0187, 0.0160, 0.0134, -0.0126, -0.0342], device='cuda:0') 100 0.0001 changing lr epoch 245, time 214.82, cls_loss 0.5477 cls_loss_mapping 0.0047 cls_loss_causal 0.4680 re_mapping 0.0106 re_causal 0.0226 /// teacc 98.69 lr 0.00010000 Epoch 247, weight, value: tensor([[-0.0715, -0.1138, -0.0923, ..., -0.0407, 0.0547, -0.1051], [-0.0694, -0.0843, -0.0668, ..., 0.0998, -0.0354, 0.2075], [ 0.0059, -0.0173, -0.0309, ..., -0.0117, -0.0118, -0.0704], ..., [ 0.0316, -0.0991, 0.1535, ..., 0.0315, -0.0818, 0.0432], [-0.0370, 0.0591, -0.1369, ..., -0.0515, 0.0135, -0.0847], [-0.0556, 0.0665, 0.0449, ..., -0.0532, -0.0418, -0.0207]], device='cuda:0'), grad: tensor([[ 1.6201e-04, 8.3828e-04, 1.9002e-04, ..., 2.8515e-03, 5.6401e-06, 3.0613e-03], [ 2.6718e-05, 9.0301e-05, 4.8757e-04, ..., -8.9798e-03, 3.3155e-07, -1.3313e-03], [ 1.8334e-04, 4.8280e-04, 3.0875e-04, ..., -2.3670e-03, 7.8440e-05, 1.0443e-03], ..., [ 4.2826e-05, 2.9969e-04, -2.0905e-03, ..., -2.0599e-03, 8.7619e-06, 1.8330e-03], [ 2.4033e-04, 6.4135e-04, 3.4451e-04, ..., 4.2381e-03, 2.3097e-05, 1.4753e-03], [ 1.2326e-04, -6.6662e-04, 6.0606e-04, ..., -8.1825e-04, 1.6224e-06, -8.9035e-03]], device='cuda:0') Epoch 247, bias, value: tensor([-0.0312, 0.0325, 0.0012, -0.0069, 0.0225, -0.0286, 0.0061, 0.0011, 0.0003, -0.0154], device='cuda:0'), grad: tensor([ 0.0175, -0.0448, -0.0108, 0.0078, -0.0017, 0.0206, 0.0219, 0.0025, 0.0219, -0.0349], device='cuda:0') 100 0.0001 changing lr epoch 246, time 214.98, cls_loss 0.5609 cls_loss_mapping 0.0045 cls_loss_causal 0.4780 re_mapping 0.0104 re_causal 0.0243 /// teacc 98.74 lr 0.00010000 Epoch 248, weight, value: tensor([[-0.0706, -0.1145, -0.0934, ..., -0.0397, 0.0546, -0.1060], [-0.0695, -0.0851, -0.0671, ..., 0.1000, -0.0360, 0.2074], [ 0.0050, -0.0161, -0.0307, ..., -0.0120, -0.0115, -0.0705], ..., [ 0.0337, -0.0990, 0.1544, ..., 0.0309, -0.0831, 0.0433], [-0.0375, 0.0588, -0.1374, ..., -0.0514, 0.0126, -0.0833], [-0.0567, 0.0661, 0.0447, ..., -0.0549, -0.0414, -0.0220]], device='cuda:0'), grad: tensor([[ 1.4174e-04, 1.1724e-04, 1.4372e-05, ..., 5.1498e-03, 1.9133e-04, 1.3220e-04], [ 7.9393e-04, 1.1265e-04, 1.3955e-05, ..., 6.0310e-03, 1.4710e-04, 1.3981e-03], [ 9.8896e-04, 1.8716e-04, 5.6922e-05, ..., -1.3741e-02, 2.0027e-04, 4.8804e-04], ..., [-6.7949e-05, 1.0049e-04, -2.0504e-04, ..., -2.9964e-03, -1.6727e-03, -1.3103e-03], [ 5.8508e-04, 7.0429e-04, 6.2168e-05, ..., 6.2904e-03, 1.5831e-04, 6.4898e-04], [ 2.3627e-04, 1.3094e-03, 3.4738e-04, ..., 6.6719e-03, 1.6963e-04, 9.8515e-04]], device='cuda:0') Epoch 248, bias, value: tensor([-0.0314, 0.0333, 0.0011, -0.0060, 0.0232, -0.0295, 0.0056, 0.0009, 0.0005, -0.0161], device='cuda:0'), grad: tensor([ 0.0220, 0.0007, -0.0276, -0.0007, -0.0294, 0.0136, 0.0053, -0.0142, 0.0021, 0.0282], device='cuda:0') 100 0.0001 changing lr epoch 247, time 214.85, cls_loss 0.5726 cls_loss_mapping 0.0052 cls_loss_causal 0.5064 re_mapping 0.0101 re_causal 0.0236 /// teacc 98.73 lr 0.00010000 Epoch 249, weight, value: tensor([[-0.0693, -0.1133, -0.0931, ..., -0.0400, 0.0555, -0.1049], [-0.0695, -0.0851, -0.0680, ..., 0.0993, -0.0360, 0.2075], [ 0.0036, -0.0171, -0.0314, ..., -0.0111, -0.0127, -0.0703], ..., [ 0.0337, -0.0976, 0.1548, ..., 0.0312, -0.0835, 0.0445], [-0.0375, 0.0587, -0.1378, ..., -0.0523, 0.0134, -0.0830], [-0.0571, 0.0678, 0.0458, ..., -0.0545, -0.0418, -0.0236]], device='cuda:0'), grad: tensor([[ 2.5593e-06, 1.4591e-03, 1.6127e-03, ..., 5.0497e-04, 2.9707e-04, 2.3711e-04], [ 1.3039e-08, 2.6393e-04, 1.2949e-05, ..., -2.9507e-03, 2.2464e-06, -2.8774e-05], [ 5.2154e-08, 4.0126e-04, 1.8454e-04, ..., 2.9259e-03, 4.4852e-05, 7.8261e-05], ..., [ 2.9802e-08, -8.7738e-03, 8.1110e-04, ..., -3.0689e-03, 2.0397e-04, 2.0218e-04], [ 3.5204e-07, 5.1231e-03, 1.4753e-03, ..., 4.4746e-03, 4.0364e-04, 2.5511e-04], [ 1.6019e-07, -2.4414e-03, -8.5602e-03, ..., -1.2444e-02, -2.0809e-03, -1.0309e-03]], device='cuda:0') Epoch 249, bias, value: tensor([-0.0310, 0.0329, 0.0012, -0.0062, 0.0237, -0.0293, 0.0052, 0.0005, 0.0008, -0.0161], device='cuda:0'), grad: tensor([-0.0041, -0.0243, 0.0176, 0.0201, 0.0203, 0.0162, 0.0075, -0.0045, 0.0165, -0.0653], device='cuda:0') 100 0.0001 changing lr epoch 248, time 214.38, cls_loss 0.5590 cls_loss_mapping 0.0037 cls_loss_causal 0.4835 re_mapping 0.0104 re_causal 0.0244 /// teacc 98.69 lr 0.00010000 Epoch 250, weight, value: tensor([[-0.0694, -0.1139, -0.0919, ..., -0.0394, 0.0558, -0.1044], [-0.0699, -0.0855, -0.0680, ..., 0.0993, -0.0362, 0.2069], [ 0.0037, -0.0167, -0.0309, ..., -0.0112, -0.0123, -0.0706], ..., [ 0.0336, -0.0974, 0.1559, ..., 0.0303, -0.0841, 0.0449], [-0.0373, 0.0578, -0.1395, ..., -0.0521, 0.0122, -0.0817], [-0.0567, 0.0675, 0.0454, ..., -0.0534, -0.0411, -0.0235]], device='cuda:0'), grad: tensor([[ 1.1809e-06, 1.7142e-04, 8.2135e-05, ..., -9.1171e-04, 6.9104e-07, 2.3305e-04], [ 6.0797e-05, 2.4071e-03, 4.6659e-04, ..., 1.5656e-02, 1.4659e-06, 2.1610e-03], [-1.3448e-06, 3.0351e-04, 3.9625e-04, ..., 3.8319e-03, 2.1644e-06, 2.8372e-04], ..., [ 6.1318e-06, 3.3450e-04, 1.0395e-03, ..., 4.8943e-03, 4.1686e-06, 1.7090e-03], [ 6.8545e-05, 1.7014e-03, 5.0640e-04, ..., 7.3385e-04, 1.9502e-06, -6.2561e-04], [-1.0610e-04, -3.2101e-03, 2.1439e-03, ..., 5.6877e-03, 1.0028e-05, 3.0079e-03]], device='cuda:0') Epoch 250, bias, value: tensor([-0.0301, 0.0332, 0.0009, -0.0062, 0.0237, -0.0295, 0.0045, -0.0003, 0.0004, -0.0149], device='cuda:0'), grad: tensor([-0.0194, 0.0559, 0.0179, -0.0793, -0.0168, 0.0098, -0.0101, 0.0236, -0.0027, 0.0209], device='cuda:0') 100 0.0001 changing lr epoch 249, time 214.21, cls_loss 0.5649 cls_loss_mapping 0.0054 cls_loss_causal 0.4907 re_mapping 0.0101 re_causal 0.0234 /// teacc 98.57 lr 0.00010000 Epoch 251, weight, value: tensor([[-0.0685, -0.1149, -0.0926, ..., -0.0382, 0.0551, -0.1050], [-0.0702, -0.0848, -0.0678, ..., 0.1000, -0.0368, 0.2077], [ 0.0047, -0.0179, -0.0300, ..., -0.0113, -0.0130, -0.0705], ..., [ 0.0326, -0.0970, 0.1552, ..., 0.0298, -0.0851, 0.0453], [-0.0375, 0.0581, -0.1392, ..., -0.0529, 0.0119, -0.0813], [-0.0560, 0.0666, 0.0472, ..., -0.0537, -0.0416, -0.0236]], device='cuda:0'), grad: tensor([[ 3.5167e-04, 1.4651e-04, 1.4651e-04, ..., 4.3983e-03, 5.1069e-04, 3.3766e-05], [ 2.2292e-04, 1.1498e-04, -8.3771e-03, ..., -4.8256e-03, 8.3399e-04, -5.5161e-03], [ 3.5882e-04, 7.4565e-05, 3.3116e-04, ..., 2.9240e-03, 2.9469e-04, 1.4699e-04], ..., [-4.8065e-03, 4.3583e-04, 8.9188e-03, ..., 1.6785e-03, 3.6359e-04, 5.5695e-03], [-2.4796e-04, 2.8086e-04, -2.5311e-03, ..., 1.1768e-03, -3.7804e-03, 1.2040e-04], [ 1.7252e-03, 1.0862e-03, 3.1033e-03, ..., 8.8501e-03, 1.1091e-03, 1.7824e-03]], device='cuda:0') Epoch 251, bias, value: tensor([-0.0296, 0.0344, 0.0007, -0.0059, 0.0242, -0.0302, 0.0049, -0.0012, -0.0004, -0.0151], device='cuda:0'), grad: tensor([ 0.0144, 0.0031, 0.0057, -0.0361, -0.0151, -0.0326, 0.0427, 0.0030, -0.0111, 0.0261], device='cuda:0') 100 0.0001 changing lr epoch 250, time 214.20, cls_loss 0.5404 cls_loss_mapping 0.0051 cls_loss_causal 0.4746 re_mapping 0.0099 re_causal 0.0232 /// teacc 98.59 lr 0.00010000 Epoch 252, weight, value: tensor([[-0.0684, -0.1143, -0.0912, ..., -0.0386, 0.0549, -0.1048], [-0.0698, -0.0848, -0.0679, ..., 0.1005, -0.0383, 0.2083], [ 0.0046, -0.0177, -0.0317, ..., -0.0104, -0.0137, -0.0703], ..., [ 0.0330, -0.0959, 0.1540, ..., 0.0285, -0.0851, 0.0447], [-0.0388, 0.0578, -0.1387, ..., -0.0525, 0.0122, -0.0819], [-0.0558, 0.0667, 0.0485, ..., -0.0529, -0.0403, -0.0235]], device='cuda:0'), grad: tensor([[ 7.6368e-08, 8.7991e-06, 1.2510e-05, ..., -5.3711e-03, 8.1587e-04, 4.0263e-05], [ 6.9477e-07, 6.1417e-04, 4.5228e-04, ..., 5.6725e-03, 1.2052e-04, 4.9353e-04], [ 1.1735e-06, -7.2384e-04, -4.6825e-04, ..., -3.3302e-03, -2.5482e-03, 1.0484e-04], ..., [ 1.2293e-06, 3.0175e-05, 3.4776e-06, ..., 1.4610e-03, 3.7074e-04, -1.1005e-03], [ 2.7940e-08, 2.2724e-05, 3.4302e-05, ..., 1.1978e-03, 6.9761e-04, 1.3590e-04], [ 1.7375e-05, 2.0695e-04, 3.1281e-04, ..., 1.0509e-03, 1.8144e-04, 1.5392e-03]], device='cuda:0') Epoch 252, bias, value: tensor([-0.0294, 0.0345, 0.0012, -0.0070, 0.0238, -0.0297, 0.0052, -0.0024, -0.0001, -0.0144], device='cuda:0'), grad: tensor([-0.0191, 0.0200, -0.0117, 0.0083, -0.0303, 0.0431, -0.0146, 0.0086, 0.0096, -0.0138], device='cuda:0') 100 0.0001 changing lr epoch 251, time 214.72, cls_loss 0.5577 cls_loss_mapping 0.0043 cls_loss_causal 0.4949 re_mapping 0.0100 re_causal 0.0236 /// teacc 98.73 lr 0.00010000 Epoch 253, weight, value: tensor([[-0.0690, -0.1149, -0.0917, ..., -0.0388, 0.0564, -0.1054], [-0.0704, -0.0846, -0.0681, ..., 0.1012, -0.0392, 0.2091], [ 0.0040, -0.0177, -0.0326, ..., -0.0107, -0.0141, -0.0708], ..., [ 0.0313, -0.0970, 0.1540, ..., 0.0285, -0.0861, 0.0452], [-0.0376, 0.0580, -0.1389, ..., -0.0532, 0.0132, -0.0826], [-0.0543, 0.0673, 0.0492, ..., -0.0528, -0.0408, -0.0226]], device='cuda:0'), grad: tensor([[ 7.3493e-05, -1.3220e-04, -2.5463e-03, ..., 4.2653e-04, 7.3671e-05, -1.1730e-03], [ 5.7966e-05, 1.2964e-06, 9.9361e-05, ..., 1.3290e-02, 3.0422e-04, 1.8811e-04], [ 8.9109e-05, 3.8862e-05, 9.4128e-04, ..., -1.0582e-02, 1.5430e-03, 8.4829e-04], ..., [ 4.6635e-04, 3.7879e-05, 1.1911e-03, ..., 3.4771e-03, 4.9543e-04, 7.8583e-04], [ 4.8113e-04, 2.4676e-05, 5.9557e-04, ..., 5.0888e-03, 8.2445e-04, 9.8515e-04], [ 8.0395e-04, -2.5868e-05, 1.3628e-03, ..., -6.9275e-03, 4.0531e-04, 1.3351e-03]], device='cuda:0') Epoch 253, bias, value: tensor([-0.0288, 0.0348, 0.0010, -0.0070, 0.0238, -0.0295, 0.0054, -0.0028, -0.0010, -0.0141], device='cuda:0'), grad: tensor([ 0.0071, 0.0384, -0.0383, 0.0184, -0.0419, -0.0133, -0.0042, 0.0169, 0.0252, -0.0082], device='cuda:0') 100 0.0001 changing lr epoch 252, time 214.56, cls_loss 0.5469 cls_loss_mapping 0.0033 cls_loss_causal 0.4645 re_mapping 0.0104 re_causal 0.0233 /// teacc 98.70 lr 0.00010000 Epoch 254, weight, value: tensor([[-0.0690, -0.1157, -0.0922, ..., -0.0390, 0.0561, -0.1061], [-0.0701, -0.0857, -0.0690, ..., 0.1006, -0.0399, 0.2096], [ 0.0039, -0.0174, -0.0332, ..., -0.0103, -0.0132, -0.0715], ..., [ 0.0291, -0.0966, 0.1549, ..., 0.0292, -0.0859, 0.0453], [-0.0384, 0.0586, -0.1391, ..., -0.0532, 0.0128, -0.0823], [-0.0526, 0.0675, 0.0487, ..., -0.0513, -0.0415, -0.0228]], device='cuda:0'), grad: tensor([[-2.3746e-04, 2.4468e-05, 1.0334e-05, ..., 9.2793e-04, -8.7118e-04, 3.8862e-05], [ 7.0110e-06, 9.5367e-05, 2.7347e-04, ..., 6.9199e-03, 2.2459e-04, 2.9430e-03], [ 4.4608e-04, 6.6853e-04, 2.1255e-04, ..., 5.5275e-03, 4.8423e-04, 1.8244e-03], ..., [ 7.1973e-06, 9.0718e-05, -6.3229e-04, ..., 3.1681e-03, 7.4327e-05, -1.0933e-02], [-7.5626e-04, -5.1308e-04, -2.8133e-04, ..., -1.2360e-03, 4.6992e-04, 7.6256e-03], [-3.4899e-05, -4.3011e-04, 2.1517e-04, ..., 1.2267e-04, -1.7405e-04, 3.6659e-03]], device='cuda:0') Epoch 254, bias, value: tensor([-0.0293, 0.0339, 0.0011, -0.0069, 0.0237, -0.0297, 0.0051, -0.0028, -0.0005, -0.0130], device='cuda:0'), grad: tensor([-0.0025, 0.0237, 0.0248, 0.0179, -0.0491, 0.0002, 0.0114, -0.0116, -0.0092, -0.0056], device='cuda:0') 100 0.0001 changing lr epoch 253, time 214.35, cls_loss 0.5553 cls_loss_mapping 0.0038 cls_loss_causal 0.4791 re_mapping 0.0102 re_causal 0.0234 /// teacc 98.77 lr 0.00010000 Epoch 255, weight, value: tensor([[-0.0695, -0.1161, -0.0941, ..., -0.0386, 0.0555, -0.1067], [-0.0699, -0.0863, -0.0694, ..., 0.1002, -0.0403, 0.2105], [ 0.0046, -0.0170, -0.0331, ..., -0.0106, -0.0130, -0.0731], ..., [ 0.0299, -0.0968, 0.1548, ..., 0.0299, -0.0867, 0.0469], [-0.0395, 0.0593, -0.1388, ..., -0.0541, 0.0137, -0.0828], [-0.0526, 0.0681, 0.0499, ..., -0.0513, -0.0408, -0.0240]], device='cuda:0'), grad: tensor([[ 1.6415e-04, 1.8620e-04, -4.3297e-04, ..., -3.1872e-03, 2.0707e-04, -6.9618e-04], [ 4.6158e-04, 2.6417e-04, 1.1215e-03, ..., 4.4060e-03, 1.4687e-04, 1.8396e-03], [ 3.5133e-03, -1.6975e-04, -1.4000e-03, ..., 7.6256e-03, -2.5787e-03, 2.2602e-03], ..., [-4.9286e-03, 1.0319e-03, 3.5076e-03, ..., -3.2482e-03, 4.1246e-04, 4.5357e-03], [ 8.8692e-05, -1.4591e-04, -2.4624e-03, ..., -4.1809e-03, 8.6927e-04, -4.8981e-03], [-4.2096e-06, 7.6532e-05, 1.3189e-03, ..., 4.7646e-03, 3.7122e-04, 2.5730e-03]], device='cuda:0') Epoch 255, bias, value: tensor([-0.0297, 0.0334, 0.0012, -0.0066, 0.0233, -0.0286, 0.0052, -0.0023, -0.0009, -0.0133], device='cuda:0'), grad: tensor([-0.0085, -0.0064, 0.0247, 0.0304, -0.0204, 0.0009, -0.0375, -0.0121, -0.0019, 0.0310], device='cuda:0') 100 0.0001 changing lr epoch 254, time 214.83, cls_loss 0.5811 cls_loss_mapping 0.0057 cls_loss_causal 0.5104 re_mapping 0.0100 re_causal 0.0236 /// teacc 98.80 lr 0.00010000 Epoch 256, weight, value: tensor([[-0.0697, -0.1180, -0.0943, ..., -0.0382, 0.0553, -0.1078], [-0.0708, -0.0864, -0.0700, ..., 0.1000, -0.0407, 0.2111], [ 0.0030, -0.0174, -0.0334, ..., -0.0113, -0.0131, -0.0729], ..., [ 0.0326, -0.0973, 0.1545, ..., 0.0304, -0.0866, 0.0474], [-0.0406, 0.0601, -0.1368, ..., -0.0545, 0.0141, -0.0835], [-0.0536, 0.0680, 0.0495, ..., -0.0509, -0.0416, -0.0231]], device='cuda:0'), grad: tensor([[ 5.6531e-07, 2.6729e-07, 3.8475e-05, ..., 1.9302e-03, 9.1642e-07, 6.7174e-05], [ 1.8878e-06, 1.0151e-06, 6.2823e-05, ..., 2.9125e-03, 2.0489e-07, 8.4579e-05], [-8.2329e-06, 3.0899e-04, 1.2550e-03, ..., 2.0905e-03, 4.8950e-06, 5.5122e-04], ..., [ 5.5507e-06, -2.9826e-04, -1.4000e-03, ..., 4.4136e-03, -1.7300e-05, 1.9035e-03], [-6.3423e-07, 6.2466e-05, 2.6870e-04, ..., 2.3746e-03, 4.5728e-07, -3.5882e-04], [ 7.4506e-07, -1.6224e-04, -1.0467e-04, ..., -6.7978e-03, 5.4613e-06, 3.8052e-04]], device='cuda:0') Epoch 256, bias, value: tensor([-0.0303, 0.0334, 0.0019, -0.0059, 0.0234, -0.0294, 0.0054, -0.0023, -0.0013, -0.0132], device='cuda:0'), grad: tensor([ 0.0161, 0.0205, 0.0183, -0.0444, 0.0166, -0.0071, -0.0076, 0.0257, 0.0032, -0.0414], device='cuda:0') 100 0.0001 changing lr epoch 255, time 214.95, cls_loss 0.5336 cls_loss_mapping 0.0043 cls_loss_causal 0.4542 re_mapping 0.0099 re_causal 0.0216 /// teacc 98.79 lr 0.00010000 Epoch 257, weight, value: tensor([[-0.0700, -0.1179, -0.0939, ..., -0.0391, 0.0557, -0.1077], [-0.0714, -0.0859, -0.0698, ..., 0.0991, -0.0407, 0.2112], [ 0.0021, -0.0163, -0.0323, ..., -0.0107, -0.0123, -0.0747], ..., [ 0.0326, -0.0986, 0.1533, ..., 0.0302, -0.0888, 0.0476], [-0.0401, 0.0602, -0.1370, ..., -0.0554, 0.0140, -0.0841], [-0.0545, 0.0677, 0.0499, ..., -0.0514, -0.0424, -0.0222]], device='cuda:0'), grad: tensor([[ 4.9956e-06, 1.2755e-04, 1.2922e-04, ..., 1.1122e-04, 1.5604e-04, 3.2067e-05], [-1.9569e-03, -1.3676e-03, 8.5533e-05, ..., -4.1771e-03, 1.6168e-06, -4.1122e-03], [ 1.5005e-05, -1.1367e-04, 3.7842e-03, ..., -5.8174e-03, 6.0272e-04, 9.2447e-05], ..., [ 2.7370e-04, 1.8442e-04, -4.8866e-03, ..., 4.8447e-03, 2.2113e-04, 7.7581e-04], [ 1.3864e-04, 2.4819e-04, 2.0790e-04, ..., 3.2253e-03, 1.0920e-04, 3.9291e-04], [ 1.0214e-03, 1.1597e-03, -1.4420e-03, ..., 1.7004e-03, 9.2268e-05, 2.1820e-03]], device='cuda:0') Epoch 257, bias, value: tensor([-0.0306, 0.0339, 0.0022, -0.0055, 0.0233, -0.0300, 0.0060, -0.0025, -0.0020, -0.0133], device='cuda:0'), grad: tensor([-0.0139, -0.0070, -0.0050, 0.0252, 0.0223, -0.0363, -0.0256, 0.0227, 0.0202, -0.0025], device='cuda:0') 100 0.0001 changing lr epoch 256, time 214.87, cls_loss 0.5722 cls_loss_mapping 0.0056 cls_loss_causal 0.5064 re_mapping 0.0102 re_causal 0.0229 /// teacc 98.79 lr 0.00010000 Epoch 258, weight, value: tensor([[-0.0716, -0.1182, -0.0931, ..., -0.0401, 0.0574, -0.1072], [-0.0712, -0.0854, -0.0707, ..., 0.0993, -0.0414, 0.2117], [ 0.0015, -0.0156, -0.0325, ..., -0.0112, -0.0116, -0.0753], ..., [ 0.0330, -0.0982, 0.1547, ..., 0.0306, -0.0894, 0.0478], [-0.0405, 0.0603, -0.1371, ..., -0.0544, 0.0135, -0.0845], [-0.0536, 0.0667, 0.0495, ..., -0.0514, -0.0404, -0.0218]], device='cuda:0'), grad: tensor([[ 5.1588e-05, 1.1051e-04, 1.5509e-04, ..., 1.1644e-03, 4.5228e-04, 1.7655e-04], [ 2.2447e-04, 2.7633e-04, 6.8235e-04, ..., 3.0670e-03, 5.1212e-04, -1.3599e-03], [ 1.1158e-04, 1.6057e-04, 5.6934e-04, ..., 2.2297e-03, 2.7418e-04, 1.7494e-05], ..., [ 4.1276e-05, 5.9038e-05, -3.0670e-03, ..., 2.8038e-04, -2.3708e-03, 1.9479e-04], [-9.8991e-04, -2.1458e-03, -2.7313e-03, ..., -8.3466e-03, -1.2960e-03, 1.0319e-03], [ 5.4806e-05, 8.9943e-05, 6.5327e-04, ..., 6.8474e-04, 8.9836e-04, 1.7479e-05]], device='cuda:0') Epoch 258, bias, value: tensor([-0.0296, 0.0342, 0.0014, -0.0057, 0.0243, -0.0309, 0.0060, -0.0023, -0.0019, -0.0139], device='cuda:0'), grad: tensor([ 0.0204, -0.0178, 0.0224, 0.0347, 0.0191, 0.0089, -0.0105, -0.0301, -0.0379, -0.0092], device='cuda:0') 100 0.0001 changing lr epoch 257, time 214.45, cls_loss 0.5553 cls_loss_mapping 0.0043 cls_loss_causal 0.4856 re_mapping 0.0104 re_causal 0.0246 /// teacc 98.79 lr 0.00010000 Epoch 259, weight, value: tensor([[-0.0716, -0.1184, -0.0915, ..., -0.0395, 0.0563, -0.1059], [-0.0715, -0.0854, -0.0713, ..., 0.0985, -0.0414, 0.2118], [ 0.0007, -0.0160, -0.0333, ..., -0.0120, -0.0111, -0.0760], ..., [ 0.0345, -0.0980, 0.1545, ..., 0.0307, -0.0910, 0.0481], [-0.0410, 0.0603, -0.1379, ..., -0.0531, 0.0115, -0.0842], [-0.0547, 0.0668, 0.0508, ..., -0.0508, -0.0407, -0.0219]], device='cuda:0'), grad: tensor([[ 1.5795e-05, 2.4819e-04, 7.1339e-06, ..., 3.6693e-04, 8.4457e-03, 4.4298e-04], [ 9.0003e-06, 5.5820e-05, -2.7288e-07, ..., 3.4142e-04, 7.9298e-04, 1.1696e-02], [ 6.0797e-05, 4.5967e-04, 1.8075e-05, ..., 7.1859e-04, 2.0657e-03, -1.5350e-02], ..., [ 6.1274e-05, 3.3975e-04, 3.2544e-05, ..., 1.0357e-03, 5.3072e-04, 1.9970e-03], [-7.6056e-04, -3.3417e-03, -1.2022e-04, ..., -6.3019e-03, 1.8875e-02, 6.2346e-05], [ 1.1295e-04, 2.0134e-04, 6.8963e-05, ..., 1.3981e-03, 1.3962e-03, 6.2799e-04]], device='cuda:0') Epoch 259, bias, value: tensor([-0.0280, 0.0328, -0.0004, -0.0059, 0.0248, -0.0311, 0.0057, -0.0014, -0.0011, -0.0136], device='cuda:0'), grad: tensor([-0.0523, 0.0323, -0.0156, -0.0257, -0.0167, 0.0336, 0.0339, -0.0082, 0.0062, 0.0125], device='cuda:0') 100 0.0001 changing lr epoch 258, time 214.53, cls_loss 0.5592 cls_loss_mapping 0.0043 cls_loss_causal 0.4812 re_mapping 0.0105 re_causal 0.0235 /// teacc 98.77 lr 0.00010000 Epoch 260, weight, value: tensor([[-6.9996e-02, -1.1878e-01, -9.2139e-02, ..., -3.9649e-02, 5.6356e-02, -1.0356e-01], [-7.1794e-02, -8.5669e-02, -7.0546e-02, ..., 9.9003e-02, -3.9067e-02, 2.1214e-01], [ 5.9977e-05, -1.6503e-02, -3.2933e-02, ..., -1.1230e-02, -1.2390e-02, -7.5796e-02], ..., [ 3.5977e-02, -9.7729e-02, 1.5377e-01, ..., 2.9928e-02, -9.0320e-02, 4.8165e-02], [-3.9652e-02, 5.9831e-02, -1.3623e-01, ..., -5.3923e-02, 1.1384e-02, -8.3473e-02], [-5.4399e-02, 6.6018e-02, 5.1118e-02, ..., -5.1551e-02, -4.0772e-02, -2.1985e-02]], device='cuda:0'), grad: tensor([[ 2.9616e-07, 6.8474e-04, 1.7948e-03, ..., 1.9989e-03, 1.1005e-03, 1.0371e-04], [ 1.6734e-05, 7.0393e-05, 1.7309e-04, ..., -1.2493e-03, 1.8585e-04, -3.4595e-04], [ 3.4850e-06, 5.8632e-03, 3.6502e-04, ..., 8.9417e-03, 3.7169e-04, 6.0350e-05], ..., [-5.6362e-04, 2.3127e-04, -3.1891e-03, ..., -6.2990e-04, 5.7077e-04, -3.6640e-03], [ 9.8944e-06, 1.9550e-03, 4.9896e-03, ..., 4.9133e-03, 6.2180e-03, 3.8886e-04], [ 9.6142e-05, -1.5440e-03, 1.5488e-03, ..., 1.8015e-03, 1.0815e-03, 6.6042e-04]], device='cuda:0') Epoch 260, bias, value: tensor([-0.0279, 0.0326, -0.0003, -0.0052, 0.0253, -0.0311, 0.0063, -0.0016, -0.0016, -0.0146], device='cuda:0'), grad: tensor([ 0.0158, -0.0185, -0.0010, -0.0432, 0.0026, 0.0161, -0.0142, 0.0015, 0.0435, -0.0026], device='cuda:0') 100 0.0001 changing lr epoch 259, time 214.75, cls_loss 0.5284 cls_loss_mapping 0.0051 cls_loss_causal 0.4593 re_mapping 0.0101 re_causal 0.0224 /// teacc 98.70 lr 0.00010000 Epoch 261, weight, value: tensor([[-0.0696, -0.1185, -0.0920, ..., -0.0396, 0.0571, -0.1037], [-0.0722, -0.0870, -0.0703, ..., 0.0980, -0.0403, 0.2140], [ 0.0003, -0.0166, -0.0327, ..., -0.0103, -0.0133, -0.0744], ..., [ 0.0379, -0.0974, 0.1535, ..., 0.0310, -0.0902, 0.0474], [-0.0408, 0.0585, -0.1356, ..., -0.0536, 0.0119, -0.0845], [-0.0552, 0.0658, 0.0503, ..., -0.0524, -0.0414, -0.0210]], device='cuda:0'), grad: tensor([[-1.9217e-03, 1.8346e-04, 3.2163e-04, ..., -2.9411e-03, 8.3685e-04, 2.3067e-04], [ 1.0484e-04, 3.7640e-05, 6.8784e-05, ..., -1.0246e-02, 4.8733e-04, -7.0930e-05], [-5.3167e-05, -5.9545e-05, -4.2033e-04, ..., 5.0659e-03, 4.7541e-04, 2.7809e-06], ..., [ 1.8013e-04, 3.7622e-04, 7.6771e-04, ..., 2.5482e-03, 1.0309e-03, 3.8719e-04], [ 2.5678e-04, 1.2457e-04, 3.8886e-04, ..., 2.6913e-03, 9.2363e-04, 3.2687e-04], [ 8.3506e-05, -1.6298e-03, -2.8076e-03, ..., -6.0692e-03, -4.6463e-03, -2.0027e-03]], device='cuda:0') Epoch 261, bias, value: tensor([-0.0289, 0.0337, 0.0005, -0.0050, 0.0249, -0.0298, 0.0063, -0.0021, -0.0023, -0.0154], device='cuda:0'), grad: tensor([ 0.0015, -0.0428, 0.0362, 0.0112, 0.0232, 0.0135, -0.0390, 0.0199, 0.0207, -0.0443], device='cuda:0') 100 0.0001 changing lr epoch 260, time 214.67, cls_loss 0.5555 cls_loss_mapping 0.0042 cls_loss_causal 0.4889 re_mapping 0.0105 re_causal 0.0238 /// teacc 98.75 lr 0.00010000 Epoch 262, weight, value: tensor([[-0.0693, -0.1188, -0.0909, ..., -0.0390, 0.0577, -0.1046], [-0.0710, -0.0877, -0.0716, ..., 0.0982, -0.0417, 0.2143], [ 0.0002, -0.0167, -0.0324, ..., -0.0107, -0.0139, -0.0748], ..., [ 0.0378, -0.0973, 0.1540, ..., 0.0305, -0.0909, 0.0482], [-0.0407, 0.0600, -0.1361, ..., -0.0535, 0.0123, -0.0842], [-0.0554, 0.0653, 0.0497, ..., -0.0518, -0.0411, -0.0210]], device='cuda:0'), grad: tensor([[ 3.0361e-07, 2.1145e-05, 1.7202e-04, ..., -5.5199e-03, 1.9491e-04, -8.5735e-04], [ 7.4878e-07, 2.9877e-05, -7.5293e-04, ..., -2.5845e-03, 1.3754e-05, 3.7074e-04], [ 3.4962e-06, 7.2289e-04, 3.2978e-03, ..., 3.5915e-03, 2.2173e-05, 2.9259e-03], ..., [ 1.7881e-06, 7.8261e-05, -1.6003e-03, ..., -2.2888e-03, 1.1243e-05, -2.1172e-03], [-1.6347e-05, 2.1958e-04, 9.4748e-04, ..., 1.3361e-03, 3.2377e-04, 6.2370e-04], [ 6.2399e-07, -9.8705e-04, -4.0894e-03, ..., -5.1880e-04, 9.7811e-05, -2.4204e-03]], device='cuda:0') Epoch 262, bias, value: tensor([-0.0291, 0.0336, 0.0003, -0.0061, 0.0238, -0.0296, 0.0069, -0.0019, -0.0022, -0.0139], device='cuda:0'), grad: tensor([-0.0118, -0.0252, 0.0139, 0.0059, -0.0027, 0.0055, 0.0110, 0.0078, 0.0088, -0.0131], device='cuda:0') 100 0.0001 changing lr epoch 261, time 214.67, cls_loss 0.5388 cls_loss_mapping 0.0040 cls_loss_causal 0.4759 re_mapping 0.0106 re_causal 0.0233 /// teacc 98.63 lr 0.00010000 Epoch 263, weight, value: tensor([[-0.0688, -0.1205, -0.0901, ..., -0.0397, 0.0553, -0.1044], [-0.0711, -0.0874, -0.0726, ..., 0.0982, -0.0409, 0.2144], [-0.0004, -0.0172, -0.0331, ..., -0.0106, -0.0132, -0.0752], ..., [ 0.0370, -0.0974, 0.1541, ..., 0.0307, -0.0923, 0.0489], [-0.0399, 0.0594, -0.1362, ..., -0.0535, 0.0126, -0.0843], [-0.0558, 0.0655, 0.0500, ..., -0.0515, -0.0405, -0.0223]], device='cuda:0'), grad: tensor([[ 4.1127e-05, 8.7261e-05, 1.9491e-05, ..., 2.5311e-03, 1.3232e-04, 3.3379e-04], [ 4.3011e-04, 6.9328e-06, -4.3225e-04, ..., -6.1798e-03, 7.2680e-06, -1.9197e-03], [ 7.9691e-05, 6.6385e-06, 1.9467e-04, ..., -3.3054e-03, 8.9407e-06, 1.6117e-03], ..., [-1.0939e-03, 5.9962e-05, 1.2684e-04, ..., -2.2049e-03, 9.8199e-06, -3.1013e-03], [ 1.1164e-04, 6.6042e-05, 2.0176e-05, ..., 4.2343e-03, 5.2869e-05, 4.9973e-04], [ 2.9445e-04, 4.2105e-04, -9.1255e-05, ..., 3.7117e-03, 5.7608e-05, 1.2150e-03]], device='cuda:0') Epoch 263, bias, value: tensor([-0.0289, 0.0340, -0.0006, -0.0062, 0.0232, -0.0290, 0.0071, -0.0012, -0.0015, -0.0149], device='cuda:0'), grad: tensor([ 0.0165, -0.0225, -0.0386, 0.0152, -0.0762, 0.0141, 0.0067, 0.0080, 0.0277, 0.0490], device='cuda:0') 100 0.0001 changing lr epoch 262, time 214.64, cls_loss 0.5624 cls_loss_mapping 0.0039 cls_loss_causal 0.5019 re_mapping 0.0100 re_causal 0.0238 /// teacc 98.63 lr 0.00010000 Epoch 264, weight, value: tensor([[-0.0683, -0.1209, -0.0899, ..., -0.0396, 0.0551, -0.1022], [-0.0715, -0.0871, -0.0728, ..., 0.0980, -0.0416, 0.2142], [-0.0012, -0.0189, -0.0332, ..., -0.0101, -0.0132, -0.0766], ..., [ 0.0368, -0.0991, 0.1542, ..., 0.0297, -0.0938, 0.0504], [-0.0395, 0.0609, -0.1368, ..., -0.0535, 0.0124, -0.0854], [-0.0561, 0.0667, 0.0502, ..., -0.0512, -0.0407, -0.0225]], device='cuda:0'), grad: tensor([[ 3.6448e-05, 2.1875e-04, 5.7697e-04, ..., -1.7633e-03, 7.8857e-05, 3.0780e-04], [ 5.1081e-05, -5.9891e-04, -2.1000e-03, ..., -1.8982e-02, 1.5832e-06, 2.0158e-04], [ 7.1824e-05, 2.2709e-04, 3.0766e-03, ..., 1.1604e-02, -8.2092e-03, 4.4656e-04], ..., [-7.0691e-05, 1.6606e-04, -4.4894e-04, ..., 2.9907e-03, 3.6478e-04, -1.4734e-03], [ 2.8342e-05, 2.2650e-04, 4.9019e-04, ..., 4.7913e-03, 1.0471e-03, 3.3855e-04], [ 7.0512e-05, 1.8275e-04, 5.0545e-04, ..., 4.6730e-03, 5.6152e-03, 7.2527e-04]], device='cuda:0') Epoch 264, bias, value: tensor([-0.0291, 0.0342, -0.0002, -0.0066, 0.0238, -0.0290, 0.0060, -0.0023, -0.0010, -0.0140], device='cuda:0'), grad: tensor([-0.0140, -0.0431, -0.0039, -0.0065, -0.0078, -0.0120, 0.0192, 0.0140, 0.0234, 0.0307], device='cuda:0') 100 0.0001 changing lr epoch 263, time 215.01, cls_loss 0.5374 cls_loss_mapping 0.0044 cls_loss_causal 0.4645 re_mapping 0.0107 re_causal 0.0244 /// teacc 98.79 lr 0.00010000 Epoch 265, weight, value: tensor([[-0.0680, -0.1207, -0.0904, ..., -0.0406, 0.0561, -0.1031], [-0.0705, -0.0878, -0.0721, ..., 0.0995, -0.0418, 0.2157], [-0.0017, -0.0198, -0.0326, ..., -0.0106, -0.0134, -0.0771], ..., [ 0.0372, -0.0989, 0.1551, ..., 0.0295, -0.0944, 0.0508], [-0.0402, 0.0607, -0.1369, ..., -0.0536, 0.0120, -0.0863], [-0.0570, 0.0676, 0.0480, ..., -0.0499, -0.0415, -0.0219]], device='cuda:0'), grad: tensor([[ 1.4819e-05, 6.4552e-05, 6.1810e-05, ..., 4.0092e-03, 9.7275e-05, 4.0889e-04], [ 4.5419e-05, 3.2932e-05, 2.7704e-04, ..., 1.5625e-02, 8.5890e-05, 1.9217e-03], [-2.2495e-04, 6.6996e-04, 5.2005e-05, ..., -5.8937e-03, 3.5763e-05, 4.0960e-04], ..., [ 1.2383e-05, 1.3363e-04, 1.0270e-04, ..., 3.1376e-03, 5.3048e-06, 3.7718e-04], [ 4.2439e-05, -3.2210e-04, 8.2016e-05, ..., 5.2185e-03, 5.2422e-05, 4.2391e-04], [ 3.1233e-05, 3.8445e-05, -6.8545e-05, ..., -1.7441e-02, 4.9062e-06, -3.7975e-03]], device='cuda:0') Epoch 265, bias, value: tensor([-0.0292, 0.0350, -0.0005, -0.0060, 0.0236, -0.0290, 0.0058, -0.0027, -0.0009, -0.0144], device='cuda:0'), grad: tensor([ 0.0192, 0.0599, -0.0107, -0.0480, -0.0051, -0.0134, 0.0003, 0.0180, 0.0238, -0.0438], device='cuda:0') 100 0.0001 changing lr epoch 264, time 214.97, cls_loss 0.5086 cls_loss_mapping 0.0032 cls_loss_causal 0.4510 re_mapping 0.0102 re_causal 0.0245 /// teacc 98.69 lr 0.00010000 Epoch 266, weight, value: tensor([[-0.0672, -0.1202, -0.0909, ..., -0.0404, 0.0553, -0.1037], [-0.0709, -0.0884, -0.0725, ..., 0.0993, -0.0427, 0.2159], [-0.0020, -0.0185, -0.0327, ..., -0.0099, -0.0137, -0.0768], ..., [ 0.0373, -0.0996, 0.1550, ..., 0.0296, -0.0950, 0.0516], [-0.0397, 0.0611, -0.1367, ..., -0.0550, 0.0120, -0.0872], [-0.0570, 0.0680, 0.0472, ..., -0.0494, -0.0412, -0.0222]], device='cuda:0'), grad: tensor([[ 5.2340e-07, 1.9217e-04, 2.9492e-04, ..., -1.4984e-02, -9.2936e-04, 1.2577e-04], [ 2.9616e-07, 4.1842e-04, 1.2112e-03, ..., 5.3749e-03, 1.7732e-05, 6.1989e-04], [ 7.4506e-08, 2.8920e-04, 3.8123e-04, ..., 1.1530e-03, -2.9373e-04, 1.8764e-04], ..., [ 2.7940e-08, 1.6153e-04, 1.4372e-03, ..., 5.0402e-04, 9.9540e-05, 1.0176e-03], [-1.6540e-06, -1.8063e-03, 4.8971e-04, ..., -7.2002e-04, 2.1482e-04, 2.0766e-04], [ 2.3283e-07, -3.7201e-02, 9.2387e-05, ..., 2.4738e-03, 1.1021e-04, 4.3201e-04]], device='cuda:0') Epoch 266, bias, value: tensor([-2.9052e-02, 3.4495e-02, -3.9107e-05, -6.0491e-03, 2.3473e-02, -2.8890e-02, 5.6849e-03, -1.7799e-03, -2.2408e-03, -1.3759e-02], device='cuda:0'), grad: tensor([-0.0217, 0.0183, 0.0073, 0.0166, 0.0100, 0.0025, 0.0147, -0.0467, 0.0188, -0.0199], device='cuda:0') 100 0.0001 changing lr epoch 265, time 214.43, cls_loss 0.5622 cls_loss_mapping 0.0047 cls_loss_causal 0.4946 re_mapping 0.0094 re_causal 0.0230 /// teacc 98.61 lr 0.00010000 Epoch 267, weight, value: tensor([[-0.0667, -0.1208, -0.0914, ..., -0.0397, 0.0566, -0.1041], [-0.0711, -0.0889, -0.0743, ..., 0.0984, -0.0426, 0.2160], [-0.0031, -0.0196, -0.0327, ..., -0.0107, -0.0124, -0.0778], ..., [ 0.0371, -0.0995, 0.1560, ..., 0.0301, -0.0955, 0.0529], [-0.0397, 0.0614, -0.1376, ..., -0.0543, 0.0122, -0.0866], [-0.0568, 0.0692, 0.0477, ..., -0.0502, -0.0417, -0.0231]], device='cuda:0'), grad: tensor([[ 2.2724e-07, -6.1073e-03, -5.1403e-04, ..., -4.2200e-04, 8.8811e-05, 1.0147e-03], [ 1.4156e-07, 3.7408e-04, 2.2757e-04, ..., 3.6449e-03, 7.4148e-04, 8.8835e-04], [-6.6459e-06, 8.2779e-04, -1.2436e-03, ..., -1.2367e-02, -2.5826e-03, -2.5711e-03], ..., [ 2.1413e-05, 1.4734e-04, 8.0538e-04, ..., 2.8706e-03, 1.7834e-04, 3.0565e-04], [ 9.0674e-06, 2.7580e-03, 4.2462e-04, ..., -3.5973e-03, 2.0218e-04, -2.5654e-03], [-4.4852e-05, 1.1387e-03, 6.7949e-04, ..., 1.2560e-03, 2.9135e-04, 1.6050e-03]], device='cuda:0') Epoch 267, bias, value: tensor([-0.0285, 0.0347, -0.0003, -0.0064, 0.0244, -0.0287, 0.0055, -0.0022, -0.0029, -0.0135], device='cuda:0'), grad: tensor([-0.0375, 0.0223, -0.0444, 0.0095, 0.0216, 0.0031, 0.0225, 0.0169, -0.0068, -0.0072], device='cuda:0') 100 0.0001 changing lr epoch 266, time 214.43, cls_loss 0.5450 cls_loss_mapping 0.0048 cls_loss_causal 0.4722 re_mapping 0.0098 re_causal 0.0230 /// teacc 98.60 lr 0.00010000 Epoch 268, weight, value: tensor([[-0.0656, -0.1195, -0.0912, ..., -0.0390, 0.0562, -0.1056], [-0.0707, -0.0890, -0.0734, ..., 0.0983, -0.0436, 0.2167], [-0.0023, -0.0182, -0.0319, ..., -0.0101, -0.0122, -0.0781], ..., [ 0.0366, -0.0996, 0.1549, ..., 0.0300, -0.0921, 0.0522], [-0.0402, 0.0603, -0.1377, ..., -0.0552, 0.0109, -0.0872], [-0.0573, 0.0691, 0.0473, ..., -0.0521, -0.0430, -0.0223]], device='cuda:0'), grad: tensor([[ 6.5789e-06, 1.1995e-05, 9.2089e-05, ..., 2.8763e-03, 2.8324e-04, 2.9731e-04], [ 2.4624e-06, 2.0921e-05, 5.4628e-05, ..., -2.4567e-03, 1.3137e-04, 1.4648e-03], [ 9.4891e-05, 1.5640e-04, 2.4772e-04, ..., -3.8967e-03, 1.5759e-04, 8.6606e-05], ..., [ 1.0721e-05, 7.9274e-05, 7.2718e-05, ..., 9.4986e-04, -2.1267e-03, -3.2024e-03], [-2.9469e-04, -1.4315e-03, -4.6015e-04, ..., 4.8218e-03, 9.4473e-05, 5.1346e-03], [ 9.1568e-06, 1.8997e-03, 2.4319e-03, ..., 1.3494e-03, 5.6934e-04, 3.4351e-03]], device='cuda:0') Epoch 268, bias, value: tensor([-0.0270, 0.0349, -0.0005, -0.0063, 0.0240, -0.0292, 0.0059, -0.0021, -0.0031, -0.0144], device='cuda:0'), grad: tensor([ 0.0249, -0.0052, -0.0374, -0.0087, -0.0021, -0.0244, 0.0248, -0.0316, 0.0141, 0.0454], device='cuda:0') 100 0.0001 changing lr epoch 267, time 214.48, cls_loss 0.5431 cls_loss_mapping 0.0033 cls_loss_causal 0.4823 re_mapping 0.0095 re_causal 0.0233 /// teacc 98.63 lr 0.00010000 Epoch 269, weight, value: tensor([[-0.0656, -0.1197, -0.0918, ..., -0.0408, 0.0563, -0.1060], [-0.0708, -0.0885, -0.0730, ..., 0.0993, -0.0428, 0.2169], [-0.0027, -0.0188, -0.0324, ..., -0.0103, -0.0131, -0.0779], ..., [ 0.0368, -0.1011, 0.1540, ..., 0.0299, -0.0924, 0.0504], [-0.0399, 0.0610, -0.1383, ..., -0.0551, 0.0110, -0.0890], [-0.0572, 0.0693, 0.0486, ..., -0.0506, -0.0439, -0.0197]], device='cuda:0'), grad: tensor([[-1.8196e-03, 1.4725e-03, 5.4073e-04, ..., -4.8294e-03, 4.2868e-04, 7.5722e-04], [ 3.2949e-04, 6.1214e-05, -4.2229e-03, ..., -5.4016e-03, 1.1045e-06, -5.4932e-03], [ 1.3638e-03, 3.5629e-03, 1.0815e-03, ..., 6.1150e-03, 2.8774e-05, 1.2712e-03], ..., [ 9.6607e-04, 2.4796e-04, 3.8033e-03, ..., 3.3302e-03, 1.2234e-05, 2.7370e-03], [-1.4973e-03, -4.5738e-03, 6.8378e-04, ..., -7.9956e-03, 9.4697e-06, 8.0824e-04], [-5.2786e-04, -1.8826e-03, -4.4441e-03, ..., -3.9291e-04, 2.2203e-05, -3.3627e-03]], device='cuda:0') Epoch 269, bias, value: tensor([-0.0284, 0.0348, -0.0004, -0.0076, 0.0252, -0.0296, 0.0063, -0.0024, -0.0022, -0.0139], device='cuda:0'), grad: tensor([ 0.0112, -0.0366, 0.0327, -0.0091, 0.0284, 0.0188, 0.0182, 0.0393, -0.0304, -0.0725], device='cuda:0') 100 0.0001 changing lr epoch 268, time 214.52, cls_loss 0.5500 cls_loss_mapping 0.0046 cls_loss_causal 0.4756 re_mapping 0.0098 re_causal 0.0233 /// teacc 98.79 lr 0.00010000 Epoch 270, weight, value: tensor([[-0.0667, -0.1204, -0.0931, ..., -0.0411, 0.0564, -0.1066], [-0.0721, -0.0892, -0.0727, ..., 0.0992, -0.0412, 0.2166], [-0.0021, -0.0202, -0.0318, ..., -0.0113, -0.0132, -0.0766], ..., [ 0.0362, -0.1010, 0.1545, ..., 0.0290, -0.0946, 0.0501], [-0.0386, 0.0610, -0.1392, ..., -0.0547, 0.0105, -0.0869], [-0.0585, 0.0696, 0.0483, ..., -0.0510, -0.0440, -0.0197]], device='cuda:0'), grad: tensor([[-2.6189e-06, -4.2820e-04, -3.4034e-05, ..., -3.2330e-03, -3.4906e-06, -1.5938e-04], [ 7.0408e-07, 1.5914e-05, 7.1764e-05, ..., 5.3453e-04, 4.5262e-07, 2.9206e-05], [ 8.4937e-07, 8.7380e-05, 2.2471e-04, ..., 4.6158e-03, 2.4792e-06, 9.6440e-05], ..., [-1.8962e-06, -1.3161e-04, -9.2554e-04, ..., -1.2741e-02, 3.3900e-07, -3.6240e-04], [ 3.0734e-07, 4.5538e-04, 2.7752e-04, ..., 4.8518e-04, 3.1710e-05, 9.8467e-05], [ 1.9036e-06, 2.8086e-04, 1.6677e-04, ..., 3.1414e-03, 1.2871e-06, 2.0301e-04]], device='cuda:0') Epoch 270, bias, value: tensor([-2.8578e-02, 3.5703e-02, 2.1092e-05, -7.2605e-03, 2.4996e-02, -2.9846e-02, 6.7894e-03, -3.1578e-03, -1.9086e-03, -1.4832e-02], device='cuda:0'), grad: tensor([-1.3535e-02, -7.1106e-03, 2.0279e-02, -2.9697e-03, 2.2430e-02, -4.9829e-05, -8.8043e-03, -1.5488e-02, -6.6757e-03, 1.1925e-02], device='cuda:0') 100 0.0001 changing lr epoch 269, time 214.95, cls_loss 0.5654 cls_loss_mapping 0.0044 cls_loss_causal 0.4948 re_mapping 0.0102 re_causal 0.0239 /// teacc 98.68 lr 0.00010000 Epoch 271, weight, value: tensor([[-0.0675, -0.1231, -0.0932, ..., -0.0416, 0.0559, -0.1059], [-0.0717, -0.0899, -0.0732, ..., 0.0995, -0.0407, 0.2166], [-0.0026, -0.0194, -0.0325, ..., -0.0119, -0.0138, -0.0770], ..., [ 0.0358, -0.0977, 0.1556, ..., 0.0303, -0.0945, 0.0506], [-0.0372, 0.0594, -0.1385, ..., -0.0541, 0.0103, -0.0864], [-0.0576, 0.0699, 0.0475, ..., -0.0508, -0.0441, -0.0203]], device='cuda:0'), grad: tensor([[ 2.6356e-06, 1.7047e-04, 7.6592e-05, ..., -2.2335e-03, 4.1202e-06, 4.8757e-04], [ 2.7008e-07, 5.3316e-05, 2.1088e-04, ..., 3.7212e-03, 1.7229e-06, 1.0529e-03], [ 2.1700e-06, 2.2197e-04, 1.6809e-04, ..., -7.6942e-03, -1.2472e-05, -6.1691e-05], ..., [ 1.3504e-06, 1.2767e-04, 8.5831e-05, ..., 3.4409e-03, 2.6021e-06, 1.1692e-03], [-1.7476e-04, 6.1178e-04, 5.5647e-04, ..., 5.2261e-03, 1.3202e-05, 2.7695e-03], [ 1.4659e-06, 1.0643e-03, 7.9441e-04, ..., 5.5199e-03, 1.7285e-05, 7.7286e-03]], device='cuda:0') Epoch 271, bias, value: tensor([-0.0289, 0.0357, -0.0005, -0.0076, 0.0235, -0.0292, 0.0074, -0.0018, -0.0021, -0.0145], device='cuda:0'), grad: tensor([-0.0187, 0.0187, -0.0149, -0.0168, -0.0585, 0.0206, -0.0162, 0.0183, 0.0269, 0.0405], device='cuda:0') 100 0.0001 changing lr epoch 270, time 215.08, cls_loss 0.5718 cls_loss_mapping 0.0037 cls_loss_causal 0.4850 re_mapping 0.0106 re_causal 0.0238 /// teacc 98.75 lr 0.00010000 Epoch 272, weight, value: tensor([[-0.0674, -0.1235, -0.0923, ..., -0.0423, 0.0554, -0.1062], [-0.0699, -0.0904, -0.0727, ..., 0.0997, -0.0420, 0.2184], [-0.0035, -0.0193, -0.0335, ..., -0.0123, -0.0135, -0.0777], ..., [ 0.0349, -0.0966, 0.1564, ..., 0.0297, -0.0943, 0.0510], [-0.0384, 0.0601, -0.1396, ..., -0.0530, 0.0096, -0.0876], [-0.0573, 0.0697, 0.0467, ..., -0.0510, -0.0424, -0.0206]], device='cuda:0'), grad: tensor([[ 0.0003, 0.0005, 0.0002, ..., -0.0036, 0.0009, -0.0038], [ 0.0006, 0.0002, 0.0007, ..., 0.0033, 0.0003, 0.0013], [ 0.0008, 0.0010, 0.0006, ..., -0.0014, 0.0021, 0.0006], ..., [ 0.0004, 0.0006, 0.0007, ..., 0.0086, 0.0011, 0.0021], [ 0.0008, -0.0122, 0.0004, ..., 0.0040, -0.0172, 0.0025], [ 0.0005, 0.0064, -0.0020, ..., -0.0142, 0.0098, -0.0125]], device='cuda:0') Epoch 272, bias, value: tensor([-0.0296, 0.0363, -0.0006, -0.0071, 0.0231, -0.0293, 0.0077, -0.0020, -0.0017, -0.0150], device='cuda:0'), grad: tensor([-0.0038, -0.0035, 0.0215, 0.0087, -0.0066, 0.0134, 0.0084, 0.0358, -0.0078, -0.0661], device='cuda:0') 100 0.0001 changing lr epoch 271, time 214.69, cls_loss 0.5244 cls_loss_mapping 0.0048 cls_loss_causal 0.4580 re_mapping 0.0102 re_causal 0.0232 /// teacc 98.69 lr 0.00010000 Epoch 273, weight, value: tensor([[-0.0683, -0.1246, -0.0918, ..., -0.0424, 0.0558, -0.1062], [-0.0693, -0.0914, -0.0731, ..., 0.0992, -0.0417, 0.2188], [-0.0045, -0.0190, -0.0340, ..., -0.0122, -0.0135, -0.0771], ..., [ 0.0359, -0.0971, 0.1563, ..., 0.0310, -0.0952, 0.0513], [-0.0380, 0.0599, -0.1394, ..., -0.0530, 0.0104, -0.0875], [-0.0589, 0.0709, 0.0480, ..., -0.0510, -0.0428, -0.0207]], device='cuda:0'), grad: tensor([[ 3.0589e-04, 5.8126e-04, 2.0301e-04, ..., 2.2202e-03, 4.7398e-04, 3.4714e-04], [ 5.0497e-04, -1.3496e-02, 3.9965e-05, ..., 4.1428e-03, 1.0138e-03, -3.2444e-03], [-3.0088e-04, -1.9665e-03, 2.1400e-03, ..., 4.7112e-03, 3.3832e-04, -1.2541e-03], ..., [ 3.5906e-04, 4.5633e-04, -1.4496e-04, ..., 2.8458e-03, 8.1873e-04, -1.8978e-03], [ 3.5501e-04, 9.1171e-03, 2.7394e-04, ..., 3.8128e-03, 8.3780e-04, 2.4834e-03], [-2.6073e-03, 1.2684e-03, 1.8883e-04, ..., -5.7335e-03, -3.5496e-03, 2.1305e-03]], device='cuda:0') Epoch 273, bias, value: tensor([-0.0300, 0.0360, -0.0001, -0.0074, 0.0241, -0.0295, 0.0076, -0.0016, -0.0019, -0.0153], device='cuda:0'), grad: tensor([ 0.0085, -0.0104, 0.0265, -0.0464, 0.0096, -0.0222, 0.0098, 0.0070, 0.0327, -0.0151], device='cuda:0') 100 0.0001 changing lr epoch 272, time 214.91, cls_loss 0.5693 cls_loss_mapping 0.0053 cls_loss_causal 0.4939 re_mapping 0.0108 re_causal 0.0237 /// teacc 98.72 lr 0.00010000 Epoch 274, weight, value: tensor([[-0.0694, -0.1247, -0.0928, ..., -0.0436, 0.0558, -0.1056], [-0.0699, -0.0913, -0.0743, ..., 0.0999, -0.0417, 0.2187], [-0.0043, -0.0205, -0.0342, ..., -0.0127, -0.0127, -0.0754], ..., [ 0.0371, -0.0962, 0.1580, ..., 0.0314, -0.0957, 0.0513], [-0.0379, 0.0600, -0.1398, ..., -0.0529, 0.0109, -0.0873], [-0.0588, 0.0731, 0.0470, ..., -0.0503, -0.0417, -0.0213]], device='cuda:0'), grad: tensor([[ 1.0915e-06, 1.8179e-05, 2.9850e-04, ..., 1.0557e-03, 6.2990e-04, 5.2404e-04], [ 2.6170e-06, 2.2066e-04, 4.4763e-05, ..., 2.0046e-03, 1.2417e-03, -4.2140e-05], [ 7.7546e-05, 1.0281e-03, 1.7080e-03, ..., 2.9984e-03, 1.1234e-03, 1.1139e-03], ..., [-3.2276e-05, 1.4174e-04, -3.0556e-03, ..., -6.1264e-03, -5.1155e-03, -2.9240e-03], [-1.5602e-03, -4.8447e-04, -1.5915e-02, ..., 1.2207e-03, 5.0735e-04, 1.3304e-04], [ 1.3599e-03, 8.6129e-05, 1.4664e-02, ..., 1.1053e-03, 6.3133e-04, 9.3174e-04]], device='cuda:0') Epoch 274, bias, value: tensor([-3.0559e-02, 3.6354e-02, -6.7239e-05, -7.7747e-03, 2.3536e-02, -2.9986e-02, 6.9054e-03, -4.4771e-04, -1.0688e-03, -1.5261e-02], device='cuda:0'), grad: tensor([ 0.0159, 0.0217, 0.0299, 0.0120, -0.0089, -0.0410, 0.0072, -0.0390, -0.0393, 0.0415], device='cuda:0') 100 0.0001 changing lr epoch 273, time 214.62, cls_loss 0.5341 cls_loss_mapping 0.0038 cls_loss_causal 0.4657 re_mapping 0.0104 re_causal 0.0237 /// teacc 98.66 lr 0.00010000 Epoch 275, weight, value: tensor([[-0.0683, -0.1266, -0.0925, ..., -0.0437, 0.0557, -0.1059], [-0.0695, -0.0934, -0.0739, ..., 0.1003, -0.0425, 0.2206], [-0.0046, -0.0198, -0.0353, ..., -0.0125, -0.0125, -0.0766], ..., [ 0.0372, -0.0970, 0.1571, ..., 0.0307, -0.0923, 0.0515], [-0.0382, 0.0600, -0.1401, ..., -0.0538, 0.0112, -0.0883], [-0.0596, 0.0731, 0.0476, ..., -0.0492, -0.0434, -0.0216]], device='cuda:0'), grad: tensor([[ 6.3330e-07, -1.0741e-04, 3.8832e-05, ..., 2.3699e-04, -1.0147e-03, 2.1148e-04], [ 1.4305e-06, 9.3412e-04, -4.1175e-04, ..., -1.3676e-03, -1.5569e-04, -1.1139e-03], [ 3.1620e-05, 2.1696e-04, 1.2434e-04, ..., -3.2463e-03, -4.6959e-03, 3.3903e-04], ..., [ 4.1611e-06, -1.2207e-02, -1.2112e-03, ..., -6.7024e-03, 1.4234e-04, -3.9368e-03], [-1.1814e-04, -2.3899e-03, -4.9019e-04, ..., 8.0299e-04, 4.9162e-04, 1.2255e-03], [ 2.9150e-06, 4.3221e-03, 3.0637e-04, ..., 2.8839e-03, 5.4693e-04, 1.3657e-03]], device='cuda:0') Epoch 275, bias, value: tensor([-3.0433e-02, 3.6129e-02, -7.8578e-04, -8.1034e-03, 2.3436e-02, -2.8976e-02, 7.1996e-03, 9.9257e-05, -1.6243e-03, -1.5196e-02], device='cuda:0'), grad: tensor([ 0.0020, 0.0004, -0.0132, 0.0117, -0.0052, 0.0036, 0.0131, -0.0249, 0.0114, 0.0009], device='cuda:0') 100 0.0001 changing lr epoch 274, time 214.80, cls_loss 0.5424 cls_loss_mapping 0.0032 cls_loss_causal 0.4754 re_mapping 0.0098 re_causal 0.0231 /// teacc 98.52 lr 0.00010000 Epoch 276, weight, value: tensor([[-0.0684, -0.1262, -0.0933, ..., -0.0432, 0.0574, -0.1052], [-0.0695, -0.0921, -0.0728, ..., 0.0996, -0.0424, 0.2216], [-0.0046, -0.0194, -0.0364, ..., -0.0121, -0.0139, -0.0773], ..., [ 0.0374, -0.0976, 0.1571, ..., 0.0315, -0.0927, 0.0521], [-0.0384, 0.0610, -0.1404, ..., -0.0543, 0.0116, -0.0887], [-0.0600, 0.0735, 0.0477, ..., -0.0504, -0.0428, -0.0220]], device='cuda:0'), grad: tensor([[ 2.0742e-04, -2.1458e-03, -1.8320e-03, ..., -2.8248e-03, 9.4986e-04, -2.5673e-03], [ 2.0015e-04, 7.0477e-04, 3.7885e-04, ..., 1.0357e-03, 8.9502e-04, 6.9141e-04], [ 6.2823e-05, 8.1015e-04, 4.5443e-04, ..., 2.1515e-03, 2.2888e-03, 9.7942e-04], ..., [ 1.4009e-03, -6.5899e-04, -3.6335e-04, ..., 9.7609e-04, -9.5291e-03, -1.7965e-04], [-1.8177e-03, 3.2902e-04, 6.0272e-04, ..., 3.9520e-03, 1.6308e-03, -1.2808e-03], [-9.1028e-04, 9.1648e-04, 2.7800e-04, ..., 1.2875e-03, 9.1076e-04, 1.2112e-03]], device='cuda:0') Epoch 276, bias, value: tensor([-0.0296, 0.0371, -0.0006, -0.0081, 0.0229, -0.0294, 0.0074, 0.0002, -0.0019, -0.0162], device='cuda:0'), grad: tensor([-0.0221, 0.0129, 0.0185, 0.0323, -0.0182, 0.0176, -0.0135, -0.0391, 0.0218, -0.0101], device='cuda:0') 100 0.0001 changing lr epoch 275, time 214.36, cls_loss 0.5225 cls_loss_mapping 0.0046 cls_loss_causal 0.4499 re_mapping 0.0102 re_causal 0.0225 /// teacc 98.66 lr 0.00010000 Epoch 277, weight, value: tensor([[-0.0694, -0.1260, -0.0930, ..., -0.0432, 0.0579, -0.1072], [-0.0720, -0.0916, -0.0735, ..., 0.0987, -0.0424, 0.2201], [-0.0039, -0.0195, -0.0358, ..., -0.0114, -0.0143, -0.0772], ..., [ 0.0388, -0.0995, 0.1571, ..., 0.0318, -0.0936, 0.0530], [-0.0392, 0.0608, -0.1420, ..., -0.0537, 0.0114, -0.0883], [-0.0591, 0.0759, 0.0486, ..., -0.0508, -0.0419, -0.0223]], device='cuda:0'), grad: tensor([[ 4.3452e-05, -2.3878e-04, 1.8084e-04, ..., 3.1948e-04, -2.4319e-03, 1.2565e-04], [-1.7424e-03, -2.5978e-03, -3.3417e-03, ..., -6.1951e-03, -1.5736e-03, -9.3174e-04], [ 3.8815e-04, 2.1553e-03, 1.0195e-03, ..., 2.7390e-03, 1.9836e-03, 2.4188e-04], ..., [ 1.5497e-04, -6.8283e-04, -9.7847e-04, ..., 3.8910e-04, -9.6703e-04, -7.7105e-04], [ 1.3399e-04, 1.2541e-03, 3.7479e-04, ..., 1.0014e-03, 1.0242e-03, 3.4976e-04], [ 1.1760e-04, 1.4172e-03, 4.2105e-04, ..., 1.2197e-03, 1.2007e-03, 1.8144e-04]], device='cuda:0') Epoch 277, bias, value: tensor([-2.9843e-02, 3.6935e-02, -2.1415e-06, -7.3384e-03, 2.2992e-02, -2.9982e-02, 8.3405e-03, -3.5220e-04, -3.0945e-03, -1.5737e-02], device='cuda:0'), grad: tensor([-0.0204, -0.0323, 0.0253, 0.0271, -0.0326, -0.0151, 0.0292, -0.0109, 0.0136, 0.0159], device='cuda:0') 100 0.0001 changing lr epoch 276, time 214.78, cls_loss 0.5474 cls_loss_mapping 0.0047 cls_loss_causal 0.4718 re_mapping 0.0104 re_causal 0.0235 /// teacc 98.65 lr 0.00010000 Epoch 278, weight, value: tensor([[-0.0706, -0.1271, -0.0930, ..., -0.0433, 0.0585, -0.1071], [-0.0725, -0.0906, -0.0710, ..., 0.0991, -0.0430, 0.2202], [-0.0029, -0.0202, -0.0361, ..., -0.0120, -0.0138, -0.0761], ..., [ 0.0402, -0.0977, 0.1563, ..., 0.0326, -0.0935, 0.0537], [-0.0400, 0.0621, -0.1426, ..., -0.0539, 0.0107, -0.0891], [-0.0594, 0.0740, 0.0482, ..., -0.0504, -0.0415, -0.0231]], device='cuda:0'), grad: tensor([[ 9.9599e-05, 5.5885e-04, 3.0732e-04, ..., 2.0146e-04, -2.2352e-08, 1.4651e-04], [-2.1152e-03, -2.7924e-03, -1.7500e-03, ..., -4.2648e-03, -4.1294e-04, -7.2975e-03], [ 4.1389e-04, -2.2268e-04, -1.1711e-03, ..., -8.6355e-04, 7.4171e-06, 4.1318e-04], ..., [ 9.1791e-04, 3.1414e-03, 1.7042e-03, ..., 7.0333e-04, 1.4417e-06, 5.1308e-04], [ 5.0259e-04, -1.8105e-05, 5.1212e-04, ..., 6.9237e-04, 2.4214e-05, 4.0078e-04], [-3.3283e-03, 5.6496e-03, 3.3741e-03, ..., 6.1512e-04, 4.6156e-06, 1.5173e-03]], device='cuda:0') Epoch 278, bias, value: tensor([-0.0300, 0.0371, -0.0007, -0.0079, 0.0239, -0.0290, 0.0068, 0.0003, -0.0027, -0.0159], device='cuda:0'), grad: tensor([ 0.0184, -0.0141, -0.0188, 0.0061, 0.0282, -0.0235, 0.0239, 0.0033, -0.0077, -0.0158], device='cuda:0') 100 0.0001 changing lr epoch 277, time 214.76, cls_loss 0.5395 cls_loss_mapping 0.0058 cls_loss_causal 0.4751 re_mapping 0.0101 re_causal 0.0227 /// teacc 98.56 lr 0.00010000 Epoch 279, weight, value: tensor([[-0.0706, -0.1265, -0.0926, ..., -0.0425, 0.0580, -0.1087], [-0.0725, -0.0908, -0.0721, ..., 0.0980, -0.0443, 0.2201], [-0.0041, -0.0192, -0.0354, ..., -0.0112, -0.0129, -0.0769], ..., [ 0.0415, -0.0980, 0.1562, ..., 0.0331, -0.0938, 0.0550], [-0.0385, 0.0612, -0.1433, ..., -0.0539, 0.0115, -0.0907], [-0.0603, 0.0739, 0.0476, ..., -0.0509, -0.0418, -0.0240]], device='cuda:0'), grad: tensor([[ 1.4186e-04, 3.1352e-04, 1.6141e-04, ..., -6.9275e-03, -1.5383e-03, 4.6402e-05], [ 2.7910e-05, 2.2972e-04, 1.8567e-05, ..., 1.4095e-03, 2.4939e-04, -8.3923e-05], [-1.8568e-03, -4.6883e-03, -3.8185e-03, ..., -4.4975e-03, 5.0426e-05, -1.6356e-04], ..., [ 3.6865e-05, 1.6761e-04, -2.8920e-04, ..., 7.6065e-03, 2.3782e-04, 1.1959e-03], [ 1.9336e-04, 4.2419e-03, 7.1955e-04, ..., 1.7185e-03, 2.3460e-04, 4.6670e-05], [ 1.1086e-04, -5.7983e-03, -2.6798e-04, ..., 2.1076e-03, 2.3508e-04, 5.8699e-04]], device='cuda:0') Epoch 279, bias, value: tensor([-0.0287, 0.0357, 0.0004, -0.0082, 0.0238, -0.0285, 0.0075, 0.0006, -0.0029, -0.0175], device='cuda:0'), grad: tensor([-0.0163, 0.0122, -0.0068, -0.0975, 0.0155, 0.0133, 0.0206, 0.0349, 0.0165, 0.0076], device='cuda:0') 100 0.0001 changing lr epoch 278, time 214.24, cls_loss 0.5724 cls_loss_mapping 0.0039 cls_loss_causal 0.5079 re_mapping 0.0100 re_causal 0.0239 /// teacc 98.78 lr 0.00010000 Epoch 280, weight, value: tensor([[-0.0712, -0.1257, -0.0933, ..., -0.0432, 0.0595, -0.1093], [-0.0732, -0.0903, -0.0724, ..., 0.0984, -0.0433, 0.2188], [-0.0025, -0.0178, -0.0349, ..., -0.0106, -0.0112, -0.0767], ..., [ 0.0407, -0.0987, 0.1566, ..., 0.0324, -0.0939, 0.0552], [-0.0392, 0.0629, -0.1431, ..., -0.0525, 0.0108, -0.0898], [-0.0591, 0.0743, 0.0479, ..., -0.0510, -0.0407, -0.0241]], device='cuda:0'), grad: tensor([[ 3.6645e-04, 6.3419e-04, 2.3880e-03, ..., 4.0741e-03, 7.3195e-04, 6.2799e-04], [ 7.2002e-05, 3.2759e-04, 5.2643e-04, ..., 8.5640e-04, 1.4198e-04, 2.3317e-04], [-8.9264e-04, 3.7689e-03, -2.0561e-03, ..., -8.1329e-03, -4.9973e-04, -1.1482e-03], ..., [ 4.0710e-05, 9.6512e-04, 5.2691e-04, ..., 7.6008e-04, 1.6379e-04, 7.0572e-04], [ 4.3005e-05, 2.4109e-03, 4.8599e-03, ..., -4.4656e-04, 1.1902e-03, -2.9621e-03], [ 7.4148e-05, 7.7820e-03, 7.6065e-03, ..., 1.1797e-03, 1.4722e-04, 9.1095e-03]], device='cuda:0') Epoch 280, bias, value: tensor([-0.0292, 0.0359, 0.0002, -0.0076, 0.0232, -0.0294, 0.0071, 0.0014, -0.0023, -0.0173], device='cuda:0'), grad: tensor([ 0.0211, -0.0198, -0.0155, -0.0236, -0.0075, 0.0321, 0.0089, 0.0134, -0.0471, 0.0381], device='cuda:0') 100 0.0001 changing lr epoch 279, time 214.35, cls_loss 0.5252 cls_loss_mapping 0.0034 cls_loss_causal 0.4514 re_mapping 0.0101 re_causal 0.0230 /// teacc 98.77 lr 0.00010000 Epoch 281, weight, value: tensor([[-0.0689, -0.1274, -0.0933, ..., -0.0424, 0.0593, -0.1100], [-0.0736, -0.0898, -0.0726, ..., 0.0980, -0.0440, 0.2193], [-0.0021, -0.0194, -0.0344, ..., -0.0104, -0.0115, -0.0772], ..., [ 0.0396, -0.0979, 0.1576, ..., 0.0325, -0.0928, 0.0561], [-0.0400, 0.0618, -0.1439, ..., -0.0529, 0.0111, -0.0906], [-0.0584, 0.0745, 0.0471, ..., -0.0508, -0.0414, -0.0251]], device='cuda:0'), grad: tensor([[-3.9911e-04, -4.4614e-05, 9.9242e-06, ..., 1.6079e-03, -1.1474e-04, 1.5271e-04], [ 1.1466e-05, -1.8373e-05, -9.6917e-05, ..., 5.0926e-03, 1.4612e-06, 7.1831e-03], [ 1.1510e-04, 3.3975e-04, 2.7433e-05, ..., -5.8899e-03, 3.5971e-05, 3.2377e-04], ..., [ 7.2084e-06, 2.8458e-03, 1.3466e-03, ..., 1.0109e-03, 6.9261e-05, -2.3785e-03], [ 4.0054e-05, -1.6146e-03, 1.9357e-05, ..., -6.4240e-03, 5.5432e-06, -7.1869e-03], [ 1.7360e-05, -2.5311e-03, -1.4086e-03, ..., 5.8985e-04, -8.6892e-07, 1.4820e-03]], device='cuda:0') Epoch 281, bias, value: tensor([-0.0292, 0.0360, 0.0004, -0.0078, 0.0233, -0.0290, 0.0072, 0.0011, -0.0032, -0.0168], device='cuda:0'), grad: tensor([ 0.0131, 0.0080, -0.0245, 0.0159, -0.0213, 0.0100, -0.0155, 0.0119, -0.0136, 0.0159], device='cuda:0') 100 0.0001 changing lr epoch 280, time 214.62, cls_loss 0.5371 cls_loss_mapping 0.0053 cls_loss_causal 0.4812 re_mapping 0.0102 re_causal 0.0223 /// teacc 98.68 lr 0.00010000 Epoch 282, weight, value: tensor([[-0.0662, -0.1301, -0.0948, ..., -0.0426, 0.0584, -0.1104], [-0.0741, -0.0895, -0.0734, ..., 0.0969, -0.0445, 0.2194], [-0.0038, -0.0196, -0.0344, ..., -0.0100, -0.0104, -0.0757], ..., [ 0.0381, -0.0982, 0.1573, ..., 0.0328, -0.0920, 0.0559], [-0.0398, 0.0624, -0.1430, ..., -0.0521, 0.0118, -0.0913], [-0.0560, 0.0739, 0.0473, ..., -0.0508, -0.0423, -0.0245]], device='cuda:0'), grad: tensor([[ 3.9339e-04, 2.0778e-04, 2.8294e-06, ..., 1.0052e-03, 8.0280e-07, -4.3106e-03], [ 4.8876e-04, 4.2725e-04, 8.0280e-07, ..., 5.1022e-04, 6.6124e-08, 4.4107e-04], [ 3.4165e-04, 8.1635e-04, 2.0280e-05, ..., 1.0862e-03, 4.0345e-06, -2.1229e-03], ..., [ 1.5807e-04, 4.5037e-04, 1.1452e-05, ..., 6.1274e-04, 1.4538e-06, 9.6178e-04], [ 2.6703e-04, -9.6273e-04, 1.2435e-05, ..., 1.0042e-03, 1.8375e-06, 1.1597e-03], [ 2.4772e-04, -2.1420e-03, 1.9455e-04, ..., 9.5463e-04, 1.0030e-06, 9.5177e-04]], device='cuda:0') Epoch 282, bias, value: tensor([-3.0393e-02, 3.7481e-02, 5.0758e-05, -7.5064e-03, 2.4061e-02, -2.9940e-02, 6.4498e-03, 1.5631e-03, -3.0915e-03, -1.6913e-02], device='cuda:0'), grad: tensor([-0.0341, 0.0500, -0.0676, 0.0072, 0.0288, -0.0330, 0.0287, -0.0032, 0.0286, -0.0056], device='cuda:0') 100 0.0001 changing lr epoch 281, time 215.06, cls_loss 0.5469 cls_loss_mapping 0.0053 cls_loss_causal 0.4715 re_mapping 0.0101 re_causal 0.0231 /// teacc 98.69 lr 0.00010000 Epoch 283, weight, value: tensor([[-0.0665, -0.1286, -0.0940, ..., -0.0422, 0.0587, -0.1096], [-0.0727, -0.0900, -0.0754, ..., 0.0969, -0.0445, 0.2193], [-0.0039, -0.0200, -0.0339, ..., -0.0101, -0.0103, -0.0747], ..., [ 0.0383, -0.0984, 0.1570, ..., 0.0332, -0.0917, 0.0538], [-0.0394, 0.0622, -0.1432, ..., -0.0526, 0.0116, -0.0926], [-0.0576, 0.0748, 0.0479, ..., -0.0507, -0.0429, -0.0232]], device='cuda:0'), grad: tensor([[ 4.1509e-04, -1.9316e-06, 4.5031e-05, ..., -5.7936e-04, 2.7618e-03, 5.3596e-04], [ 8.7619e-05, 1.2092e-05, 8.2612e-05, ..., 5.7173e-04, 2.1279e-05, 8.9765e-05], [-1.3614e-04, -2.2233e-05, -6.3133e-04, ..., -1.1003e-04, 2.0489e-05, -2.5725e-04], ..., [ 7.3791e-05, 2.7552e-05, 9.5308e-05, ..., 6.4516e-04, 5.1379e-05, 1.1456e-04], [-9.6512e-04, 2.7275e-03, 1.4982e-03, ..., -2.4071e-03, 4.1574e-05, -1.2197e-03], [ 1.1313e-04, 4.4131e-04, 9.2745e-05, ..., 6.9952e-04, 3.4124e-05, 1.4818e-04]], device='cuda:0') Epoch 283, bias, value: tensor([-0.0294, 0.0364, 0.0007, -0.0090, 0.0241, -0.0285, 0.0061, 0.0016, -0.0034, -0.0166], device='cuda:0'), grad: tensor([-0.0041, 0.0166, 0.0108, -0.0162, -0.0018, 0.0094, -0.0135, -0.0146, -0.0049, 0.0183], device='cuda:0') 100 0.0001 changing lr epoch 282, time 214.44, cls_loss 0.5402 cls_loss_mapping 0.0043 cls_loss_causal 0.4731 re_mapping 0.0099 re_causal 0.0224 /// teacc 98.74 lr 0.00010000 Epoch 284, weight, value: tensor([[-0.0661, -0.1295, -0.0935, ..., -0.0418, 0.0587, -0.1098], [-0.0725, -0.0899, -0.0755, ..., 0.0968, -0.0440, 0.2190], [-0.0028, -0.0206, -0.0342, ..., -0.0104, -0.0106, -0.0746], ..., [ 0.0375, -0.0981, 0.1572, ..., 0.0323, -0.0919, 0.0539], [-0.0406, 0.0624, -0.1441, ..., -0.0533, 0.0119, -0.0940], [-0.0574, 0.0753, 0.0470, ..., -0.0513, -0.0428, -0.0231]], device='cuda:0'), grad: tensor([[-1.4249e-07, 2.8592e-06, -1.6127e-03, ..., -1.2627e-03, 6.2943e-05, -1.7757e-03], [ 1.0431e-07, 7.6648e-07, 9.7275e-04, ..., 4.0680e-05, 3.1590e-05, 2.0714e-03], [-4.9733e-07, -1.3089e-04, 5.2261e-04, ..., 2.9111e-04, 8.1241e-05, 7.0095e-04], ..., [ 3.1572e-07, 1.5163e-04, 2.7943e-03, ..., 1.9588e-03, 2.9278e-04, 4.5013e-03], [-2.3749e-06, 3.6359e-06, 8.0013e-04, ..., 8.4734e-04, 3.6269e-05, 1.2712e-03], [ 1.6093e-06, -3.4899e-05, -2.7776e-04, ..., 8.2731e-04, 7.5281e-05, -8.3542e-03]], device='cuda:0') Epoch 284, bias, value: tensor([-0.0292, 0.0353, -0.0006, -0.0065, 0.0246, -0.0291, 0.0066, 0.0019, -0.0044, -0.0167], device='cuda:0'), grad: tensor([-0.0354, 0.0124, 0.0130, 0.0188, -0.0049, 0.0110, -0.0241, 0.0033, 0.0137, -0.0076], device='cuda:0') 100 0.0001 changing lr epoch 283, time 214.24, cls_loss 0.5435 cls_loss_mapping 0.0043 cls_loss_causal 0.4847 re_mapping 0.0100 re_causal 0.0232 /// teacc 98.67 lr 0.00010000 Epoch 285, weight, value: tensor([[-0.0664, -0.1306, -0.0950, ..., -0.0418, 0.0580, -0.1100], [-0.0735, -0.0898, -0.0753, ..., 0.0965, -0.0435, 0.2194], [-0.0021, -0.0204, -0.0350, ..., -0.0098, -0.0109, -0.0753], ..., [ 0.0364, -0.0985, 0.1580, ..., 0.0321, -0.0916, 0.0527], [-0.0403, 0.0617, -0.1438, ..., -0.0536, 0.0117, -0.0938], [-0.0567, 0.0753, 0.0458, ..., -0.0509, -0.0428, -0.0221]], device='cuda:0'), grad: tensor([[ 3.3712e-04, 9.9018e-06, 1.2553e-04, ..., 9.6369e-04, 5.8860e-06, 4.1652e-04], [ 2.7966e-04, 6.9104e-06, 1.0169e-04, ..., 1.0796e-03, 7.7784e-06, 6.9094e-04], [-2.6989e-03, 2.9588e-04, 2.2244e-04, ..., -2.7409e-03, 6.8545e-06, 3.0732e-04], ..., [ 4.7040e-04, 3.2902e-04, 3.8952e-05, ..., 1.1005e-03, 6.0014e-06, -1.4572e-02], [-9.0504e-04, 4.8218e-03, -1.6785e-03, ..., 1.8024e-04, 5.9381e-06, -4.9019e-03], [ 4.2653e-04, 4.6349e-04, -2.5660e-05, ..., 9.3746e-04, 5.5507e-06, 2.5272e-03]], device='cuda:0') Epoch 285, bias, value: tensor([-0.0296, 0.0345, -0.0005, -0.0073, 0.0243, -0.0282, 0.0069, 0.0022, -0.0036, -0.0168], device='cuda:0'), grad: tensor([ 0.0172, 0.0179, -0.0085, -0.0050, 0.0059, -0.0086, 0.0419, -0.0593, 0.0066, -0.0081], device='cuda:0') 100 0.0001 changing lr epoch 284, time 214.22, cls_loss 0.5170 cls_loss_mapping 0.0039 cls_loss_causal 0.4479 re_mapping 0.0100 re_causal 0.0223 /// teacc 98.70 lr 0.00010000 Epoch 286, weight, value: tensor([[-0.0657, -0.1296, -0.0944, ..., -0.0423, 0.0592, -0.1122], [-0.0737, -0.0900, -0.0746, ..., 0.0965, -0.0436, 0.2197], [-0.0027, -0.0196, -0.0336, ..., -0.0084, -0.0107, -0.0749], ..., [ 0.0362, -0.0997, 0.1564, ..., 0.0326, -0.0910, 0.0539], [-0.0405, 0.0611, -0.1438, ..., -0.0540, 0.0109, -0.0937], [-0.0566, 0.0759, 0.0470, ..., -0.0518, -0.0432, -0.0226]], device='cuda:0'), grad: tensor([[ 1.7472e-06, 3.0041e-05, 1.9145e-04, ..., 8.7976e-04, 3.5095e-04, 8.7881e-04], [ 1.5028e-05, -3.7014e-05, -2.2352e-04, ..., -1.7252e-03, 3.2455e-05, -2.0256e-03], [ 7.8261e-05, 7.5626e-04, 1.8330e-03, ..., 3.5172e-03, 2.9135e-04, 1.4124e-03], ..., [-2.2620e-05, -3.9029e-04, -2.7790e-03, ..., 1.0157e-03, 7.8201e-05, -2.2293e-02], [ 8.3894e-06, 1.6153e-04, 3.1233e-04, ..., -4.7264e-03, 3.9309e-05, 6.2466e-04], [ 1.5177e-05, 2.6417e-04, 3.3398e-03, ..., 9.9468e-04, 1.5795e-04, 2.2659e-02]], device='cuda:0') Epoch 286, bias, value: tensor([-0.0301, 0.0355, 0.0007, -0.0070, 0.0233, -0.0290, 0.0067, 0.0023, -0.0039, -0.0167], device='cuda:0'), grad: tensor([ 0.0100, -0.0209, 0.0260, -0.0219, 0.0133, 0.0048, 0.0130, -0.0289, -0.0200, 0.0246], device='cuda:0') 100 0.0001 changing lr epoch 285, time 214.48, cls_loss 0.5701 cls_loss_mapping 0.0043 cls_loss_causal 0.5061 re_mapping 0.0098 re_causal 0.0232 /// teacc 98.80 lr 0.00010000 Epoch 287, weight, value: tensor([[-0.0654, -0.1295, -0.0948, ..., -0.0424, 0.0588, -0.1118], [-0.0742, -0.0903, -0.0753, ..., 0.0966, -0.0447, 0.2181], [-0.0025, -0.0207, -0.0333, ..., -0.0072, -0.0109, -0.0743], ..., [ 0.0361, -0.0983, 0.1565, ..., 0.0323, -0.0901, 0.0559], [-0.0404, 0.0606, -0.1434, ..., -0.0546, 0.0135, -0.0937], [-0.0555, 0.0748, 0.0463, ..., -0.0512, -0.0430, -0.0227]], device='cuda:0'), grad: tensor([[ 2.2337e-05, 3.8576e-04, 2.0623e-05, ..., -1.8473e-03, -4.1962e-03, 6.9439e-05], [ 1.0565e-05, -1.3361e-03, -2.1801e-03, ..., -1.2993e-02, 6.5804e-04, -1.1963e-02], [-2.2709e-04, -4.6501e-03, 1.2512e-03, ..., 7.4565e-05, -1.0204e-03, 7.3004e-04], ..., [ 3.2187e-05, 7.7677e-04, -2.8706e-03, ..., 2.2049e-03, 3.7837e-04, -1.9863e-05], [ 2.0355e-05, -1.4160e-02, 1.4153e-03, ..., 1.0977e-03, -3.2990e-02, 1.3008e-03], [ 4.9062e-06, 5.1498e-04, 3.3855e-04, ..., 1.7757e-03, 5.0831e-04, 1.4973e-03]], device='cuda:0') Epoch 287, bias, value: tensor([-0.0309, 0.0345, 0.0002, -0.0074, 0.0234, -0.0280, 0.0068, 0.0034, -0.0036, -0.0166], device='cuda:0'), grad: tensor([-0.0309, -0.0534, -0.0082, 0.0181, 0.0454, 0.0094, 0.0160, -0.0225, 0.0068, 0.0193], device='cuda:0') 100 0.0001 changing lr epoch 286, time 214.33, cls_loss 0.5146 cls_loss_mapping 0.0034 cls_loss_causal 0.4438 re_mapping 0.0104 re_causal 0.0229 /// teacc 98.81 lr 0.00010000 Epoch 288, weight, value: tensor([[-0.0647, -0.1297, -0.0935, ..., -0.0408, 0.0594, -0.1097], [-0.0741, -0.0898, -0.0754, ..., 0.0974, -0.0450, 0.2173], [-0.0040, -0.0207, -0.0342, ..., -0.0067, -0.0109, -0.0741], ..., [ 0.0375, -0.0987, 0.1572, ..., 0.0317, -0.0903, 0.0553], [-0.0393, 0.0622, -0.1428, ..., -0.0551, 0.0145, -0.0952], [-0.0551, 0.0740, 0.0465, ..., -0.0510, -0.0434, -0.0222]], device='cuda:0'), grad: tensor([[ 1.3695e-03, 1.9622e-04, 3.0082e-07, ..., 4.4394e-04, 9.3132e-08, 5.7463e-07], [ 1.6475e-04, 6.4015e-05, 3.8967e-06, ..., 1.1854e-03, 6.9849e-08, -2.1636e-05], [ 6.2275e-04, 2.8038e-03, 3.4478e-06, ..., 2.4490e-03, 1.6296e-04, 4.0308e-06], ..., [-2.7714e-03, 3.6030e-03, 1.9836e-04, ..., -3.5343e-03, 9.6858e-08, 1.9717e-04], [-2.7966e-04, 9.1612e-05, 4.1068e-05, ..., -5.5618e-03, 1.1466e-05, -3.0935e-05], [ 1.2165e-04, -8.7051e-03, 8.8573e-05, ..., 1.6584e-03, 9.1363e-07, 2.3346e-03]], device='cuda:0') Epoch 288, bias, value: tensor([-0.0297, 0.0351, 0.0004, -0.0069, 0.0233, -0.0279, 0.0053, 0.0038, -0.0040, -0.0174], device='cuda:0'), grad: tensor([-0.0070, 0.0142, 0.0268, 0.0230, 0.0008, -0.0087, -0.0173, -0.0012, -0.0420, 0.0115], device='cuda:0') 100 0.0001 changing lr epoch 287, time 214.41, cls_loss 0.5588 cls_loss_mapping 0.0049 cls_loss_causal 0.4882 re_mapping 0.0101 re_causal 0.0229 /// teacc 98.79 lr 0.00010000 Epoch 289, weight, value: tensor([[-0.0647, -0.1313, -0.0939, ..., -0.0418, 0.0588, -0.1098], [-0.0760, -0.0883, -0.0759, ..., 0.0974, -0.0446, 0.2170], [-0.0043, -0.0201, -0.0342, ..., -0.0070, -0.0110, -0.0750], ..., [ 0.0361, -0.1003, 0.1573, ..., 0.0327, -0.0904, 0.0554], [-0.0374, 0.0617, -0.1435, ..., -0.0558, 0.0151, -0.0962], [-0.0544, 0.0746, 0.0474, ..., -0.0507, -0.0434, -0.0222]], device='cuda:0'), grad: tensor([[ 3.1781e-04, 1.9693e-04, 2.5123e-05, ..., 1.1549e-03, -3.4630e-05, 2.7132e-04], [-4.8141e-03, -1.6141e-04, 9.5224e-04, ..., -1.4896e-03, 2.6077e-08, 9.5725e-05], [ 1.4162e-03, -4.2176e-04, -3.0041e-03, ..., -4.3941e-04, 2.4121e-07, 2.8634e-04], ..., [ 4.8828e-04, 4.1556e-04, 2.5463e-04, ..., -6.1569e-03, 6.4820e-07, 1.9884e-04], [ 5.6839e-04, 1.0223e-03, 1.1909e-04, ..., 3.4714e-03, 4.5262e-06, 1.1797e-03], [ 3.9697e-04, 6.1178e-04, -3.9387e-04, ..., 1.9798e-03, 7.2420e-05, 2.2161e-04]], device='cuda:0') Epoch 289, bias, value: tensor([-0.0303, 0.0354, -0.0001, -0.0071, 0.0239, -0.0272, 0.0063, 0.0036, -0.0049, -0.0175], device='cuda:0'), grad: tensor([ 0.0090, -0.0425, 0.0007, 0.0150, -0.0246, -0.0104, 0.0217, -0.0117, 0.0255, 0.0172], device='cuda:0') 100 0.0001 changing lr epoch 288, time 214.22, cls_loss 0.5497 cls_loss_mapping 0.0049 cls_loss_causal 0.4850 re_mapping 0.0098 re_causal 0.0219 /// teacc 98.70 lr 0.00010000 Epoch 290, weight, value: tensor([[-0.0642, -0.1329, -0.0942, ..., -0.0410, 0.0587, -0.1096], [-0.0760, -0.0880, -0.0766, ..., 0.0976, -0.0447, 0.2174], [-0.0056, -0.0217, -0.0346, ..., -0.0077, -0.0101, -0.0751], ..., [ 0.0356, -0.1000, 0.1583, ..., 0.0324, -0.0904, 0.0560], [-0.0366, 0.0621, -0.1422, ..., -0.0547, 0.0154, -0.0958], [-0.0528, 0.0742, 0.0470, ..., -0.0510, -0.0436, -0.0223]], device='cuda:0'), grad: tensor([[ 7.8022e-05, 2.4509e-04, 1.9383e-04, ..., 5.7650e-04, -1.5831e-03, 2.5058e-04], [ 3.1781e-04, 5.4884e-04, 4.5204e-04, ..., -2.3899e-03, 1.7092e-05, 7.5912e-04], [ 2.0194e-04, 1.1387e-03, 4.8828e-03, ..., 2.6398e-03, 6.2180e-04, 9.3174e-04], ..., [-1.5593e-04, 2.8419e-04, 1.5202e-03, ..., -4.4131e-04, 1.7032e-05, -8.3160e-04], [-5.0589e-06, -1.2865e-03, 8.1682e-04, ..., 7.3290e-04, 4.8310e-05, 5.2452e-04], [ 1.6081e-04, 3.4142e-04, 3.2949e-04, ..., 7.6389e-04, 7.5996e-05, 5.0259e-04]], device='cuda:0') Epoch 290, bias, value: tensor([-0.0296, 0.0359, -0.0004, -0.0068, 0.0244, -0.0278, 0.0055, 0.0027, -0.0043, -0.0176], device='cuda:0'), grad: tensor([ 0.0178, -0.0291, 0.0264, -0.0349, -0.0343, -0.0113, 0.0271, -0.0038, 0.0152, 0.0269], device='cuda:0') 100 0.0001 changing lr epoch 289, time 214.34, cls_loss 0.5731 cls_loss_mapping 0.0037 cls_loss_causal 0.4949 re_mapping 0.0096 re_causal 0.0216 /// teacc 98.81 lr 0.00010000 Epoch 291, weight, value: tensor([[-0.0641, -0.1324, -0.0948, ..., -0.0421, 0.0588, -0.1090], [-0.0772, -0.0890, -0.0771, ..., 0.0989, -0.0450, 0.2174], [-0.0057, -0.0210, -0.0353, ..., -0.0078, -0.0093, -0.0758], ..., [ 0.0356, -0.1013, 0.1585, ..., 0.0322, -0.0916, 0.0564], [-0.0349, 0.0628, -0.1433, ..., -0.0543, 0.0154, -0.0958], [-0.0532, 0.0737, 0.0468, ..., -0.0514, -0.0445, -0.0218]], device='cuda:0'), grad: tensor([[ 0.0003, 0.0004, 0.0008, ..., 0.0010, 0.0003, -0.0001], [ 0.0009, 0.0004, -0.0017, ..., -0.0017, 0.0003, -0.0025], [-0.0020, 0.0016, 0.0008, ..., -0.0088, 0.0006, 0.0012], ..., [ 0.0016, 0.0007, 0.0028, ..., 0.0044, 0.0003, 0.0043], [ 0.0004, 0.0012, 0.0028, ..., 0.0015, 0.0002, -0.0001], [ 0.0005, 0.0002, 0.0010, ..., 0.0014, 0.0001, 0.0009]], device='cuda:0') Epoch 291, bias, value: tensor([-0.0305, 0.0371, -0.0008, -0.0078, 0.0251, -0.0277, 0.0062, 0.0024, -0.0044, -0.0177], device='cuda:0'), grad: tensor([ 0.0246, -0.0260, -0.0124, 0.0007, 0.0019, 0.0068, -0.0438, 0.0209, 0.0119, 0.0153], device='cuda:0') 100 0.0001 changing lr epoch 290, time 214.36, cls_loss 0.5533 cls_loss_mapping 0.0033 cls_loss_causal 0.4761 re_mapping 0.0098 re_causal 0.0225 /// teacc 98.69 lr 0.00010000 Epoch 292, weight, value: tensor([[-0.0642, -0.1329, -0.0961, ..., -0.0418, 0.0595, -0.1092], [-0.0768, -0.0889, -0.0778, ..., 0.0984, -0.0448, 0.2174], [-0.0050, -0.0217, -0.0363, ..., -0.0074, -0.0093, -0.0761], ..., [ 0.0350, -0.1016, 0.1592, ..., 0.0311, -0.0912, 0.0568], [-0.0349, 0.0613, -0.1443, ..., -0.0538, 0.0148, -0.0955], [-0.0530, 0.0735, 0.0464, ..., -0.0512, -0.0416, -0.0222]], device='cuda:0'), grad: tensor([[-1.9608e-03, 3.1400e-04, -3.3054e-03, ..., -1.8036e-02, 2.4261e-03, -7.5865e-04], [ 1.3542e-04, -4.6110e-04, -2.0027e-04, ..., 9.4986e-04, 1.0544e-04, -6.7472e-05], [ 2.1589e-04, 1.3292e-04, -4.3464e-04, ..., 8.9264e-04, 3.0537e-03, 9.5081e-04], ..., [ 4.9353e-04, -5.1832e-04, 7.1049e-04, ..., 2.8706e-03, -1.3039e-02, -2.9392e-03], [ 5.3787e-04, 3.5334e-04, 9.8896e-04, ..., 3.4466e-03, 1.0663e-04, 3.8338e-04], [ 1.2779e-04, 1.8187e-03, 3.6788e-04, ..., 1.7300e-03, 6.7139e-03, 1.7891e-03]], device='cuda:0') Epoch 292, bias, value: tensor([-0.0314, 0.0369, 0.0003, -0.0062, 0.0247, -0.0290, 0.0051, 0.0023, -0.0032, -0.0178], device='cuda:0'), grad: tensor([-0.0473, -0.0231, 0.0142, 0.0179, -0.0050, 0.0066, 0.0059, -0.0104, 0.0018, 0.0394], device='cuda:0') 100 0.0001 changing lr epoch 291, time 214.58, cls_loss 0.5847 cls_loss_mapping 0.0039 cls_loss_causal 0.5144 re_mapping 0.0097 re_causal 0.0225 /// teacc 98.80 lr 0.00010000 Epoch 293, weight, value: tensor([[-0.0653, -0.1327, -0.0948, ..., -0.0410, 0.0586, -0.1085], [-0.0771, -0.0886, -0.0782, ..., 0.0981, -0.0447, 0.2178], [-0.0064, -0.0212, -0.0369, ..., -0.0082, -0.0097, -0.0770], ..., [ 0.0359, -0.1021, 0.1593, ..., 0.0320, -0.0904, 0.0568], [-0.0348, 0.0614, -0.1460, ..., -0.0540, 0.0147, -0.0950], [-0.0541, 0.0741, 0.0449, ..., -0.0518, -0.0429, -0.0227]], device='cuda:0'), grad: tensor([[ 1.4305e-03, 3.1185e-04, 1.0891e-03, ..., 1.7738e-03, 1.6677e-04, 4.3869e-03], [ 2.8496e-03, 1.6451e-03, 1.1759e-03, ..., 3.2673e-03, 1.0896e-04, 6.9542e-03], [-6.3276e-04, -2.4681e-03, -4.3869e-03, ..., -3.2749e-03, 5.8353e-05, -1.3816e-04], ..., [ 9.0647e-04, 2.8515e-04, 1.2161e-02, ..., 2.4796e-03, 9.0897e-05, -1.6403e-03], [-3.4275e-03, 7.6962e-04, 8.0776e-04, ..., -3.9864e-03, -9.7513e-04, -1.4944e-03], [ 2.0428e-03, 6.7091e-04, 5.2109e-03, ..., 2.4605e-03, 9.1612e-05, 3.0518e-03]], device='cuda:0') Epoch 293, bias, value: tensor([-0.0304, 0.0366, -0.0005, -0.0060, 0.0246, -0.0289, 0.0063, 0.0019, -0.0041, -0.0178], device='cuda:0'), grad: tensor([-0.0245, 0.0509, 0.0011, 0.0066, -0.0429, -0.0214, -0.0021, 0.0343, -0.0344, 0.0323], device='cuda:0') 100 0.0001 changing lr epoch 292, time 214.37, cls_loss 0.5437 cls_loss_mapping 0.0031 cls_loss_causal 0.4769 re_mapping 0.0102 re_causal 0.0238 /// teacc 98.72 lr 0.00010000 Epoch 294, weight, value: tensor([[-0.0666, -0.1334, -0.0956, ..., -0.0420, 0.0584, -0.1078], [-0.0779, -0.0887, -0.0782, ..., 0.0985, -0.0450, 0.2184], [-0.0066, -0.0222, -0.0358, ..., -0.0080, -0.0109, -0.0769], ..., [ 0.0367, -0.1026, 0.1595, ..., 0.0323, -0.0906, 0.0568], [-0.0361, 0.0615, -0.1480, ..., -0.0539, 0.0146, -0.0930], [-0.0547, 0.0743, 0.0454, ..., -0.0521, -0.0435, -0.0234]], device='cuda:0'), grad: tensor([[ 1.3590e-04, 1.5860e-03, -3.5496e-03, ..., -4.1237e-03, 1.0407e-04, 2.2297e-03], [ 2.1264e-05, 5.0879e-04, 2.4986e-03, ..., 3.4122e-03, 3.5465e-05, 4.9438e-03], [-5.2881e-04, -1.4210e-03, 1.3180e-03, ..., -5.7268e-04, 3.4809e-05, 2.2507e-03], ..., [ 8.0538e-04, -1.7204e-03, -3.5267e-03, ..., -9.4604e-03, 1.3553e-05, -7.5340e-03], [ 1.1748e-04, -4.5357e-03, -9.5444e-03, ..., -1.7881e-03, -6.8140e-04, -1.0284e-02], [ 1.4439e-03, -2.6226e-03, 6.0196e-03, ..., 4.0550e-03, 6.0827e-05, -1.3565e-02]], device='cuda:0') Epoch 294, bias, value: tensor([-0.0304, 0.0359, 0.0001, -0.0060, 0.0242, -0.0292, 0.0064, 0.0024, -0.0046, -0.0171], device='cuda:0'), grad: tensor([-0.0342, 0.0324, 0.0016, 0.0157, 0.0294, 0.0392, 0.0244, -0.0449, -0.0443, -0.0192], device='cuda:0') 100 0.0001 changing lr epoch 293, time 214.23, cls_loss 0.5758 cls_loss_mapping 0.0031 cls_loss_causal 0.5006 re_mapping 0.0101 re_causal 0.0238 /// teacc 98.74 lr 0.00010000 Epoch 295, weight, value: tensor([[-0.0656, -0.1340, -0.0950, ..., -0.0415, 0.0606, -0.1063], [-0.0763, -0.0889, -0.0791, ..., 0.0996, -0.0438, 0.2178], [-0.0060, -0.0224, -0.0376, ..., -0.0085, -0.0098, -0.0773], ..., [ 0.0370, -0.1017, 0.1582, ..., 0.0332, -0.0925, 0.0557], [-0.0373, 0.0610, -0.1467, ..., -0.0540, 0.0134, -0.0921], [-0.0538, 0.0742, 0.0475, ..., -0.0518, -0.0438, -0.0226]], device='cuda:0'), grad: tensor([[-3.8548e-03, -6.8378e-04, -1.4582e-03, ..., -4.6883e-03, -1.8835e-03, -3.6945e-03], [ 3.6564e-03, 5.8740e-05, 6.8951e-04, ..., 5.7220e-03, 1.0986e-03, 2.9850e-03], [-1.2798e-03, -4.1695e-03, -1.8814e-02, ..., -1.0818e-02, 8.2016e-05, -4.0245e-03], ..., [-1.8539e-03, 1.0767e-03, 1.2848e-02, ..., 1.7128e-03, 4.7952e-05, 2.2106e-03], [ 4.8113e-04, 1.2045e-03, 1.8301e-03, ..., 1.8539e-03, 1.8275e-04, 4.9305e-04], [ 6.7234e-04, 1.7433e-03, 5.3291e-03, ..., 3.4943e-03, 5.1928e-04, 1.1454e-03]], device='cuda:0') Epoch 295, bias, value: tensor([-0.0307, 0.0352, 0.0004, -0.0071, 0.0239, -0.0286, 0.0069, 0.0021, -0.0039, -0.0166], device='cuda:0'), grad: tensor([-0.0233, 0.0333, -0.0634, -0.0028, 0.0170, 0.0134, -0.0162, 0.0175, -0.0104, 0.0348], device='cuda:0') 100 0.0001 changing lr epoch 294, time 214.20, cls_loss 0.5424 cls_loss_mapping 0.0035 cls_loss_causal 0.4673 re_mapping 0.0099 re_causal 0.0227 /// teacc 98.75 lr 0.00010000 Epoch 296, weight, value: tensor([[-0.0661, -0.1335, -0.0954, ..., -0.0426, 0.0611, -0.1064], [-0.0763, -0.0893, -0.0797, ..., 0.1003, -0.0435, 0.2182], [-0.0067, -0.0227, -0.0377, ..., -0.0073, -0.0109, -0.0774], ..., [ 0.0378, -0.1011, 0.1589, ..., 0.0326, -0.0929, 0.0548], [-0.0370, 0.0612, -0.1469, ..., -0.0548, 0.0135, -0.0914], [-0.0535, 0.0736, 0.0453, ..., -0.0519, -0.0432, -0.0232]], device='cuda:0'), grad: tensor([[ 6.1572e-05, 5.6684e-05, 4.4060e-04, ..., 1.2579e-03, 3.7968e-05, 3.9363e-04], [ 4.7237e-05, 9.5427e-05, 5.3406e-04, ..., 2.4147e-03, 2.1905e-05, 4.9210e-04], [ 1.2660e-04, 8.6665e-05, 1.4381e-03, ..., -4.8103e-03, 3.0637e-05, -2.4319e-03], ..., [-4.1389e-03, 9.6512e-04, -7.6962e-04, ..., 1.8692e-03, 5.3263e-04, -2.1038e-03], [ 1.0099e-03, -2.2831e-03, 5.8222e-04, ..., -8.0681e-04, -4.0507e-04, 1.8387e-03], [ 2.4834e-03, -2.4986e-03, -5.5389e-03, ..., -8.7357e-03, -1.4534e-03, -4.0102e-04]], device='cuda:0') Epoch 296, bias, value: tensor([-0.0314, 0.0360, 0.0005, -0.0076, 0.0234, -0.0271, 0.0073, 0.0023, -0.0041, -0.0175], device='cuda:0'), grad: tensor([ 0.0147, -0.0072, -0.0110, 0.0329, 0.0171, 0.0185, -0.0432, 0.0039, 0.0046, -0.0304], device='cuda:0') 100 0.0001 changing lr epoch 295, time 214.15, cls_loss 0.5791 cls_loss_mapping 0.0037 cls_loss_causal 0.5114 re_mapping 0.0094 re_causal 0.0231 /// teacc 98.69 lr 0.00010000 Epoch 297, weight, value: tensor([[-0.0676, -0.1347, -0.0957, ..., -0.0434, 0.0606, -0.1049], [-0.0759, -0.0895, -0.0781, ..., 0.1001, -0.0430, 0.2188], [-0.0061, -0.0222, -0.0395, ..., -0.0048, -0.0113, -0.0772], ..., [ 0.0368, -0.1024, 0.1601, ..., 0.0327, -0.0937, 0.0547], [-0.0376, 0.0611, -0.1459, ..., -0.0547, 0.0130, -0.0920], [-0.0526, 0.0737, 0.0453, ..., -0.0515, -0.0430, -0.0232]], device='cuda:0'), grad: tensor([[ 1.4342e-07, 1.3065e-04, 3.8433e-04, ..., 6.6948e-04, 2.4140e-04, 2.9278e-04], [ 1.6950e-07, 8.0943e-05, 2.6679e-04, ..., 5.2357e-04, 1.8144e-04, 1.4853e-04], [ 1.7229e-06, 1.7157e-03, 1.5154e-03, ..., 2.7227e-04, 3.8738e-03, 4.6277e-04], ..., [ 5.4203e-06, 2.1005e-04, 7.0477e-04, ..., 9.8610e-04, 4.4179e-04, -2.1561e-02], [ 1.3709e-06, -9.4223e-03, -5.4131e-03, ..., 6.6471e-04, -2.0676e-02, 3.5429e-04], [ 3.6601e-06, 1.2445e-04, -2.1725e-03, ..., -2.4662e-03, 2.6965e-04, 1.9547e-02]], device='cuda:0') Epoch 297, bias, value: tensor([-0.0307, 0.0370, 0.0015, -0.0076, 0.0225, -0.0277, 0.0071, 0.0014, -0.0047, -0.0170], device='cuda:0'), grad: tensor([ 0.0166, 0.0206, 0.0221, 0.0360, -0.0445, 0.0189, -0.0116, -0.0388, -0.0411, 0.0218], device='cuda:0') 100 0.0001 changing lr epoch 296, time 214.29, cls_loss 0.5360 cls_loss_mapping 0.0048 cls_loss_causal 0.4685 re_mapping 0.0099 re_causal 0.0216 /// teacc 98.65 lr 0.00010000 Epoch 298, weight, value: tensor([[-0.0692, -0.1351, -0.0956, ..., -0.0432, 0.0596, -0.1064], [-0.0764, -0.0897, -0.0793, ..., 0.0997, -0.0430, 0.2197], [-0.0066, -0.0221, -0.0387, ..., -0.0048, -0.0107, -0.0767], ..., [ 0.0373, -0.1020, 0.1615, ..., 0.0343, -0.0948, 0.0552], [-0.0370, 0.0608, -0.1465, ..., -0.0547, 0.0142, -0.0926], [-0.0529, 0.0741, 0.0443, ..., -0.0522, -0.0429, -0.0239]], device='cuda:0'), grad: tensor([[ 6.3086e-04, 3.5977e-04, 1.2617e-03, ..., 2.6302e-03, 1.1981e-04, 7.8535e-04], [ 5.5742e-04, 6.4087e-04, 1.4229e-03, ..., 4.0932e-03, 2.7210e-05, 8.2445e-04], [ 2.1744e-03, 1.4563e-03, -1.2236e-03, ..., 5.5542e-03, 8.7976e-05, 2.1534e-03], ..., [-5.7220e-04, 6.4039e-04, 2.4872e-03, ..., 4.2458e-03, 1.7333e-04, 2.9163e-03], [ 7.8869e-04, 5.6648e-03, 3.1853e-03, ..., 6.0654e-03, 1.3137e-04, 1.8616e-03], [ 8.8196e-03, 5.4741e-04, 1.9474e-03, ..., 2.7599e-03, 8.3208e-05, -7.6828e-03]], device='cuda:0') Epoch 298, bias, value: tensor([-0.0306, 0.0369, 0.0018, -0.0091, 0.0230, -0.0278, 0.0069, 0.0029, -0.0045, -0.0175], device='cuda:0'), grad: tensor([ 0.0251, 0.0313, 0.0102, -0.0199, -0.0341, -0.0719, -0.0156, 0.0434, 0.0148, 0.0168], device='cuda:0') 100 0.0001 changing lr epoch 297, time 214.31, cls_loss 0.5190 cls_loss_mapping 0.0044 cls_loss_causal 0.4552 re_mapping 0.0098 re_causal 0.0217 /// teacc 98.76 lr 0.00010000 Epoch 299, weight, value: tensor([[-0.0695, -0.1357, -0.0967, ..., -0.0437, 0.0601, -0.1070], [-0.0774, -0.0898, -0.0794, ..., 0.0996, -0.0432, 0.2202], [-0.0073, -0.0224, -0.0405, ..., -0.0064, -0.0107, -0.0777], ..., [ 0.0380, -0.1013, 0.1628, ..., 0.0348, -0.0957, 0.0550], [-0.0364, 0.0601, -0.1465, ..., -0.0543, 0.0148, -0.0921], [-0.0524, 0.0751, 0.0448, ..., -0.0513, -0.0423, -0.0254]], device='cuda:0'), grad: tensor([[ 7.6914e-04, -5.2500e-04, 1.1826e-03, ..., 4.0779e-03, 1.5318e-04, 5.9128e-04], [ 2.0733e-03, 2.3559e-05, 2.0676e-03, ..., 2.4109e-03, 1.9312e-04, 1.8406e-04], [ 2.3460e-03, 5.2547e-04, 2.9964e-03, ..., 3.1891e-03, 6.7616e-04, 1.1379e-04], ..., [-5.8479e-03, 9.4891e-05, -3.7098e-03, ..., -3.3169e-03, 4.8518e-04, 1.2362e-04], [ 1.2913e-03, -1.6613e-03, 2.7227e-04, ..., 5.4407e-04, -1.3578e-04, 2.3632e-03], [-3.3283e-03, 1.2541e-04, 1.0042e-03, ..., -5.1498e-03, 3.6335e-04, 4.9496e-04]], device='cuda:0') Epoch 299, bias, value: tensor([-0.0315, 0.0366, 0.0006, -0.0088, 0.0235, -0.0286, 0.0075, 0.0027, -0.0043, -0.0159], device='cuda:0'), grad: tensor([-0.0246, 0.0220, 0.0183, -0.0324, 0.0135, 0.0132, 0.0133, -0.0393, 0.0180, -0.0019], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 298---------------------------------------------------- epoch 298, time 230.97, cls_loss 0.5381 cls_loss_mapping 0.0030 cls_loss_causal 0.4792 re_mapping 0.0095 re_causal 0.0224 /// teacc 98.87 lr 0.00010000 Epoch 300, weight, value: tensor([[-0.0704, -0.1357, -0.0968, ..., -0.0438, 0.0610, -0.1074], [-0.0774, -0.0896, -0.0789, ..., 0.0995, -0.0435, 0.2203], [-0.0085, -0.0215, -0.0402, ..., -0.0059, -0.0104, -0.0776], ..., [ 0.0397, -0.1006, 0.1640, ..., 0.0360, -0.0945, 0.0560], [-0.0362, 0.0598, -0.1481, ..., -0.0544, 0.0132, -0.0927], [-0.0532, 0.0756, 0.0442, ..., -0.0530, -0.0443, -0.0264]], device='cuda:0'), grad: tensor([[-5.5432e-06, 2.4164e-04, -3.1700e-03, ..., -8.4763e-03, 2.5034e-04, -4.7112e-03], [ 2.2733e-04, -3.6316e-03, -4.6005e-03, ..., -1.1040e-02, 3.5691e-04, -2.2678e-03], [ 1.7471e-03, 1.5945e-03, 4.1580e-03, ..., 6.9542e-03, 2.7847e-04, 1.3123e-03], ..., [ 4.5800e-04, 2.9755e-04, -2.0966e-05, ..., 2.1038e-03, 1.6952e-04, 7.7820e-04], [ 4.6730e-03, -1.0662e-03, 2.1660e-04, ..., 8.3618e-03, -5.1498e-04, 1.0185e-03], [ 2.0826e-04, 7.4100e-04, -1.6010e-04, ..., 8.0824e-04, 2.8706e-04, 1.0424e-03]], device='cuda:0') Epoch 300, bias, value: tensor([-0.0310, 0.0374, 0.0008, -0.0094, 0.0236, -0.0280, 0.0082, 0.0031, -0.0053, -0.0175], device='cuda:0'), grad: tensor([-0.0764, -0.0228, 0.0478, -0.0054, 0.0251, -0.0125, 0.0294, 0.0100, 0.0160, -0.0110], device='cuda:0') 100 0.0001 changing lr epoch 299, time 214.49, cls_loss 0.5649 cls_loss_mapping 0.0033 cls_loss_causal 0.4883 re_mapping 0.0092 re_causal 0.0228 /// teacc 98.80 lr 0.00010000 Epoch 301, weight, value: tensor([[-0.0713, -0.1356, -0.0978, ..., -0.0446, 0.0604, -0.1089], [-0.0780, -0.0895, -0.0797, ..., 0.0990, -0.0439, 0.2210], [-0.0065, -0.0212, -0.0405, ..., -0.0060, -0.0102, -0.0777], ..., [ 0.0396, -0.1007, 0.1636, ..., 0.0356, -0.0948, 0.0549], [-0.0366, 0.0600, -0.1469, ..., -0.0544, 0.0127, -0.0929], [-0.0530, 0.0755, 0.0447, ..., -0.0523, -0.0442, -0.0259]], device='cuda:0'), grad: tensor([[ 4.5002e-05, 8.7395e-06, 6.1798e-04, ..., -3.9330e-03, 1.5473e-04, 7.9012e-04], [ 2.2873e-05, 1.5646e-07, -7.4863e-05, ..., -2.1327e-04, -8.4877e-04, -5.2571e-05], [ 4.8786e-05, 1.4398e-06, -5.7411e-04, ..., 9.6703e-04, 2.2256e-04, 1.9240e-04], ..., [ 1.4275e-05, 8.3819e-08, -1.8692e-03, ..., -7.6246e-04, 1.0896e-04, 2.1636e-04], [ 2.3559e-05, -2.1420e-03, -2.3537e-03, ..., 3.3360e-03, 2.1958e-04, 5.9462e-04], [ 3.0547e-05, 1.0476e-05, 7.0286e-04, ..., -4.1656e-03, 1.3697e-04, -2.8057e-03]], device='cuda:0') Epoch 301, bias, value: tensor([-0.0309, 0.0368, 0.0008, -0.0091, 0.0233, -0.0278, 0.0073, 0.0032, -0.0044, -0.0174], device='cuda:0'), grad: tensor([ 0.0010, -0.0039, 0.0189, -0.0459, 0.0221, -0.0128, 0.0434, -0.0388, 0.0253, -0.0093], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 300---------------------------------------------------- epoch 300, time 230.28, cls_loss 0.5614 cls_loss_mapping 0.0030 cls_loss_causal 0.4895 re_mapping 0.0091 re_causal 0.0222 /// teacc 98.90 lr 0.00010000 Epoch 302, weight, value: tensor([[-0.0722, -0.1370, -0.0979, ..., -0.0448, 0.0601, -0.1097], [-0.0775, -0.0891, -0.0791, ..., 0.1001, -0.0436, 0.2210], [-0.0064, -0.0219, -0.0407, ..., -0.0076, -0.0089, -0.0779], ..., [ 0.0400, -0.1011, 0.1643, ..., 0.0363, -0.0952, 0.0548], [-0.0364, 0.0607, -0.1467, ..., -0.0538, 0.0127, -0.0930], [-0.0530, 0.0758, 0.0450, ..., -0.0524, -0.0441, -0.0257]], device='cuda:0'), grad: tensor([[ 1.0262e-03, 7.7534e-04, 2.5673e-03, ..., 2.8419e-03, 9.8825e-05, 2.0579e-05], [ 4.9973e-04, 1.5223e-04, 2.2068e-03, ..., 2.1420e-03, 4.4815e-06, -1.3292e-05], [-2.0580e-03, 3.4409e-03, 5.2643e-03, ..., 6.5422e-04, 2.8014e-04, 1.3366e-05], ..., [ 2.2161e-04, 1.1307e-04, -8.0299e-04, ..., -3.0880e-03, 2.4810e-06, 2.3019e-04], [ 9.0170e-04, 1.6689e-04, 2.2297e-03, ..., 2.1820e-03, 8.1584e-06, 3.2395e-05], [ 5.4646e-04, 7.0810e-05, 1.0500e-03, ..., 9.3269e-04, 4.2953e-06, 5.0688e-04]], device='cuda:0') Epoch 302, bias, value: tensor([-0.0308, 0.0372, -0.0005, -0.0086, 0.0226, -0.0279, 0.0072, 0.0037, -0.0042, -0.0169], device='cuda:0'), grad: tensor([ 0.0181, 0.0198, 0.0106, -0.0269, -0.0126, 0.0151, -0.0123, -0.0466, 0.0190, 0.0157], device='cuda:0') 100 0.0001 changing lr epoch 301, time 214.32, cls_loss 0.5257 cls_loss_mapping 0.0032 cls_loss_causal 0.4599 re_mapping 0.0101 re_causal 0.0234 /// teacc 98.73 lr 0.00010000 Epoch 303, weight, value: tensor([[-0.0709, -0.1369, -0.0960, ..., -0.0463, 0.0597, -0.1101], [-0.0777, -0.0895, -0.0791, ..., 0.1001, -0.0442, 0.2217], [-0.0043, -0.0219, -0.0392, ..., -0.0074, -0.0076, -0.0780], ..., [ 0.0394, -0.1019, 0.1639, ..., 0.0367, -0.0948, 0.0546], [-0.0366, 0.0613, -0.1460, ..., -0.0530, 0.0118, -0.0921], [-0.0529, 0.0757, 0.0457, ..., -0.0526, -0.0441, -0.0263]], device='cuda:0'), grad: tensor([[ 9.8050e-05, 1.1086e-04, 3.7670e-05, ..., -7.8278e-03, 4.9472e-05, 1.1064e-05], [ 6.0022e-05, 3.2693e-05, 2.5019e-05, ..., 5.8317e-04, 9.7230e-06, -2.0981e-05], [ 3.0088e-04, 2.5821e-04, 7.5519e-05, ..., 2.5101e-03, 4.5687e-05, 6.9514e-06], ..., [-8.6451e-04, 3.7551e-05, 1.1539e-04, ..., -3.1509e-03, 9.9018e-06, -1.3053e-04], [-2.4721e-05, -3.7079e-03, -1.3666e-03, ..., -1.1911e-03, 6.2943e-05, 7.7710e-06], [ 1.0026e-04, 1.0478e-04, 9.2685e-06, ..., 6.5994e-04, 6.9514e-06, 1.2755e-04]], device='cuda:0') Epoch 303, bias, value: tensor([-0.0303, 0.0369, 0.0002, -0.0083, 0.0220, -0.0291, 0.0077, 0.0035, -0.0045, -0.0165], device='cuda:0'), grad: tensor([-0.0247, 0.0104, 0.0153, 0.0104, 0.0020, 0.0077, 0.0214, -0.0269, -0.0193, 0.0037], device='cuda:0') 100 0.0001 changing lr epoch 302, time 214.23, cls_loss 0.5430 cls_loss_mapping 0.0051 cls_loss_causal 0.4648 re_mapping 0.0100 re_causal 0.0227 /// teacc 98.75 lr 0.00010000 Epoch 304, weight, value: tensor([[-0.0706, -0.1361, -0.0968, ..., -0.0463, 0.0600, -0.1106], [-0.0776, -0.0899, -0.0789, ..., 0.1006, -0.0437, 0.2231], [-0.0040, -0.0234, -0.0398, ..., -0.0078, -0.0079, -0.0791], ..., [ 0.0381, -0.1023, 0.1644, ..., 0.0364, -0.0961, 0.0548], [-0.0366, 0.0626, -0.1455, ..., -0.0538, 0.0125, -0.0928], [-0.0514, 0.0753, 0.0461, ..., -0.0531, -0.0448, -0.0268]], device='cuda:0'), grad: tensor([[ 1.8346e-04, -6.0439e-05, -6.4468e-04, ..., -1.1768e-03, 1.3590e-04, -7.2908e-04], [ 7.7605e-05, 7.1339e-07, 7.1144e-04, ..., 8.1921e-04, 1.4722e-04, 3.8952e-05], [ 3.4952e-04, 3.7812e-06, 1.5593e-03, ..., 1.6985e-03, 2.3937e-04, 6.0177e-04], ..., [ 2.5496e-05, 6.9141e-06, -5.5504e-03, ..., 5.2547e-04, 1.2743e-04, -2.7027e-03], [-8.2626e-03, 1.0997e-05, -4.0016e-03, ..., -1.4114e-03, 2.3317e-04, 1.2751e-03], [ 4.9978e-05, 1.5509e-04, 4.0412e-04, ..., 8.7309e-04, 1.3208e-04, 3.7819e-05]], device='cuda:0') Epoch 304, bias, value: tensor([-0.0303, 0.0370, 0.0007, -0.0084, 0.0232, -0.0293, 0.0071, 0.0035, -0.0047, -0.0172], device='cuda:0'), grad: tensor([-0.0282, 0.0161, 0.0475, 0.0076, 0.0116, -0.0019, -0.0282, -0.0215, -0.0018, -0.0012], device='cuda:0') 100 0.0001 changing lr epoch 303, time 214.05, cls_loss 0.5533 cls_loss_mapping 0.0034 cls_loss_causal 0.4823 re_mapping 0.0095 re_causal 0.0217 /// teacc 98.78 lr 0.00010000 Epoch 305, weight, value: tensor([[-0.0707, -0.1361, -0.0954, ..., -0.0438, 0.0579, -0.1085], [-0.0764, -0.0903, -0.0790, ..., 0.0993, -0.0437, 0.2221], [-0.0039, -0.0234, -0.0402, ..., -0.0074, -0.0078, -0.0791], ..., [ 0.0367, -0.1018, 0.1655, ..., 0.0371, -0.0968, 0.0552], [-0.0363, 0.0625, -0.1455, ..., -0.0539, 0.0114, -0.0930], [-0.0511, 0.0755, 0.0462, ..., -0.0518, -0.0453, -0.0274]], device='cuda:0'), grad: tensor([[ 1.2791e-04, 1.2314e-04, -4.8409e-03, ..., 1.9112e-03, 6.1631e-05, -3.1708e-02], [ 4.3392e-05, 2.5311e-03, -3.4882e-02, ..., -6.3400e-03, -2.3060e-03, -1.0735e-02], [-8.1587e-04, 3.5346e-05, 2.5845e-03, ..., 1.1148e-03, 1.3990e-03, 1.1950e-03], ..., [ 2.6058e-06, 2.4872e-03, 3.6102e-02, ..., 1.0099e-03, 7.3433e-05, 2.8885e-02], [ 5.8937e-04, 1.8711e-03, 4.7836e-03, ..., 2.9297e-03, 1.5700e-04, 1.3336e-02], [ 2.2709e-05, 4.4727e-04, 2.3289e-03, ..., 3.9940e-03, 2.1383e-05, 4.9734e-04]], device='cuda:0') Epoch 305, bias, value: tensor([-0.0299, 0.0370, 0.0004, -0.0091, 0.0244, -0.0302, 0.0071, 0.0041, -0.0055, -0.0165], device='cuda:0'), grad: tensor([-0.0042, -0.0242, 0.0021, -0.0253, -0.0110, -0.0126, 0.0229, 0.0517, -0.0226, 0.0234], device='cuda:0') 100 0.0001 changing lr epoch 304, time 214.36, cls_loss 0.5151 cls_loss_mapping 0.0036 cls_loss_causal 0.4422 re_mapping 0.0099 re_causal 0.0220 /// teacc 98.81 lr 0.00010000 Epoch 306, weight, value: tensor([[-0.0719, -0.1359, -0.0951, ..., -0.0438, 0.0582, -0.1070], [-0.0749, -0.0902, -0.0778, ..., 0.0992, -0.0414, 0.2223], [-0.0026, -0.0239, -0.0401, ..., -0.0073, -0.0087, -0.0795], ..., [ 0.0361, -0.1019, 0.1643, ..., 0.0380, -0.0974, 0.0556], [-0.0370, 0.0629, -0.1461, ..., -0.0548, 0.0119, -0.0927], [-0.0511, 0.0759, 0.0471, ..., -0.0530, -0.0445, -0.0289]], device='cuda:0'), grad: tensor([[ 2.6655e-04, 2.3308e-03, 6.8092e-04, ..., 1.7595e-04, 8.4579e-05, 1.6487e-04], [-1.8320e-03, 1.0419e-04, 6.2132e-04, ..., -4.8027e-03, -1.9989e-03, 1.4460e-04], [ 2.2564e-03, -4.5776e-03, 3.0518e-03, ..., 4.9744e-03, 1.1597e-03, 1.1247e-04], ..., [ 2.4629e-04, 8.9455e-04, 3.1158e-02, ..., 5.7640e-03, 1.9097e-04, 1.7929e-02], [ 7.6008e-04, 2.4185e-03, 1.5202e-03, ..., -1.8444e-03, 3.5375e-05, -1.3857e-03], [ 3.4189e-04, -1.2875e-03, -3.3447e-02, ..., -3.6259e-03, 2.3568e-04, -1.7975e-02]], device='cuda:0') Epoch 306, bias, value: tensor([-0.0300, 0.0363, -0.0002, -0.0084, 0.0242, -0.0294, 0.0069, 0.0048, -0.0052, -0.0172], device='cuda:0'), grad: tensor([ 0.0171, -0.0234, 0.0033, -0.0207, 0.0063, -0.0204, 0.0031, 0.0418, 0.0242, -0.0313], device='cuda:0') 100 0.0001 changing lr epoch 305, time 214.37, cls_loss 0.5548 cls_loss_mapping 0.0033 cls_loss_causal 0.4946 re_mapping 0.0096 re_causal 0.0224 /// teacc 98.79 lr 0.00010000 Epoch 307, weight, value: tensor([[-0.0707, -0.1365, -0.0957, ..., -0.0433, 0.0584, -0.1074], [-0.0735, -0.0883, -0.0762, ..., 0.0992, -0.0399, 0.2235], [-0.0028, -0.0224, -0.0395, ..., -0.0083, -0.0083, -0.0797], ..., [ 0.0371, -0.1025, 0.1646, ..., 0.0383, -0.0977, 0.0553], [-0.0383, 0.0622, -0.1463, ..., -0.0556, 0.0125, -0.0943], [-0.0521, 0.0760, 0.0462, ..., -0.0540, -0.0448, -0.0280]], device='cuda:0'), grad: tensor([[ 7.4841e-06, 1.7488e-04, 4.2725e-04, ..., -1.6232e-03, 1.3947e-04, 9.6798e-04], [ 4.8131e-06, 9.2685e-05, -1.6046e-04, ..., -8.3771e-03, 1.3649e-04, -2.6512e-03], [ 3.0190e-05, 3.8147e-04, 2.0638e-03, ..., 2.4948e-03, 4.8256e-04, 5.1727e-03], ..., [ 1.6719e-05, 2.4009e-04, -5.8060e-03, ..., -1.0557e-03, 2.8825e-04, -8.0948e-03], [ 3.4541e-05, 5.3749e-03, 7.3290e-04, ..., 1.8673e-03, 8.8882e-03, 6.2132e-04], [ 4.0948e-05, -5.0621e-03, 9.0837e-04, ..., 1.4849e-03, -1.0109e-02, 6.3229e-04]], device='cuda:0') Epoch 307, bias, value: tensor([-0.0296, 0.0370, -0.0005, -0.0089, 0.0244, -0.0295, 0.0071, 0.0051, -0.0056, -0.0177], device='cuda:0'), grad: tensor([-0.0350, -0.0245, 0.0220, -0.0031, 0.0219, 0.0394, -0.0023, -0.0230, 0.0312, -0.0266], device='cuda:0') 100 0.0001 changing lr epoch 306, time 214.46, cls_loss 0.5533 cls_loss_mapping 0.0033 cls_loss_causal 0.4785 re_mapping 0.0096 re_causal 0.0237 /// teacc 98.80 lr 0.00010000 Epoch 308, weight, value: tensor([[-0.0716, -0.1366, -0.0967, ..., -0.0427, 0.0587, -0.1086], [-0.0720, -0.0880, -0.0768, ..., 0.0997, -0.0390, 0.2245], [-0.0029, -0.0227, -0.0395, ..., -0.0082, -0.0083, -0.0809], ..., [ 0.0368, -0.1034, 0.1647, ..., 0.0366, -0.0999, 0.0555], [-0.0385, 0.0620, -0.1458, ..., -0.0531, 0.0130, -0.0921], [-0.0523, 0.0766, 0.0465, ..., -0.0555, -0.0458, -0.0276]], device='cuda:0'), grad: tensor([[-3.2592e-04, -4.1103e-04, 6.3705e-04, ..., -6.3442e-06, -8.7917e-05, 1.3952e-03], [ 3.0007e-06, 3.2973e-04, -3.5572e-03, ..., -5.1460e-03, 8.2731e-05, -3.3245e-03], [ 1.1319e-04, -2.4986e-03, -5.3101e-03, ..., -2.4166e-03, -9.7132e-04, -3.7174e-03], ..., [ 1.6853e-05, -1.7154e-04, -2.5585e-05, ..., -8.4591e-04, 1.0252e-04, -5.0163e-03], [ 3.6269e-05, 6.8235e-04, 2.2182e-03, ..., 3.5515e-03, 1.9836e-04, 1.7462e-03], [ 4.9710e-05, 6.5506e-05, -7.5102e-04, ..., 6.9809e-04, 1.3578e-04, 4.1122e-03]], device='cuda:0') Epoch 308, bias, value: tensor([-0.0289, 0.0372, -0.0022, -0.0077, 0.0236, -0.0280, 0.0075, 0.0041, -0.0050, -0.0187], device='cuda:0'), grad: tensor([ 0.0031, -0.0302, -0.0126, 0.0150, 0.0094, 0.0217, -0.0030, -0.0051, 0.0169, -0.0153], device='cuda:0') 100 0.0001 changing lr epoch 307, time 214.44, cls_loss 0.5827 cls_loss_mapping 0.0042 cls_loss_causal 0.5089 re_mapping 0.0092 re_causal 0.0220 /// teacc 98.85 lr 0.00010000 Epoch 309, weight, value: tensor([[-0.0728, -0.1374, -0.0974, ..., -0.0410, 0.0583, -0.1101], [-0.0725, -0.0879, -0.0761, ..., 0.1001, -0.0402, 0.2252], [-0.0019, -0.0229, -0.0397, ..., -0.0078, -0.0077, -0.0814], ..., [ 0.0369, -0.1040, 0.1647, ..., 0.0359, -0.1008, 0.0548], [-0.0389, 0.0624, -0.1463, ..., -0.0525, 0.0142, -0.0918], [-0.0529, 0.0763, 0.0465, ..., -0.0571, -0.0461, -0.0279]], device='cuda:0'), grad: tensor([[ 6.2585e-05, 1.4037e-05, 1.3351e-04, ..., 6.8569e-04, -5.2595e-04, 8.7082e-05], [ 2.2992e-05, 5.4277e-06, 5.3972e-05, ..., 2.0466e-03, 1.3649e-04, 5.9158e-05], [-3.7766e-04, 7.9691e-05, -6.9141e-04, ..., -2.7771e-03, -8.4579e-05, 2.7966e-04], ..., [ 1.7178e-04, 2.8896e-04, 4.4489e-04, ..., -1.1349e-03, -9.6283e-03, -5.4016e-03], [-6.2847e-04, -2.2335e-03, -2.2106e-03, ..., -9.8419e-04, 2.9707e-04, -5.0211e-04], [ 4.2033e-04, 1.4086e-03, 1.4019e-03, ..., 2.3115e-04, 1.9016e-03, 1.0843e-03]], device='cuda:0') Epoch 309, bias, value: tensor([-0.0284, 0.0375, -0.0033, -0.0078, 0.0233, -0.0286, 0.0086, 0.0038, -0.0040, -0.0193], device='cuda:0'), grad: tensor([ 0.0120, 0.0165, 0.0062, -0.0152, 0.0310, 0.0173, 0.0145, -0.0760, 0.0041, -0.0104], device='cuda:0') 100 0.0001 changing lr epoch 308, time 216.03, cls_loss 0.5669 cls_loss_mapping 0.0036 cls_loss_causal 0.4994 re_mapping 0.0096 re_causal 0.0233 /// teacc 98.87 lr 0.00010000 Epoch 310, weight, value: tensor([[-0.0730, -0.1376, -0.0976, ..., -0.0418, 0.0565, -0.1103], [-0.0730, -0.0889, -0.0771, ..., 0.0999, -0.0409, 0.2239], [-0.0022, -0.0239, -0.0405, ..., -0.0073, -0.0074, -0.0806], ..., [ 0.0368, -0.1044, 0.1654, ..., 0.0356, -0.1019, 0.0545], [-0.0397, 0.0616, -0.1474, ..., -0.0536, 0.0131, -0.0912], [-0.0529, 0.0761, 0.0475, ..., -0.0553, -0.0445, -0.0270]], device='cuda:0'), grad: tensor([[ 2.7753e-06, 2.0862e-04, 7.8869e-04, ..., 1.4353e-03, 1.7667e-04, 2.7919e-04], [ 3.6191e-06, 1.1593e-05, 1.9002e-04, ..., 5.5361e-04, 6.5565e-05, 3.2091e-04], [ 5.1767e-05, -2.4092e-04, -3.0346e-03, ..., -1.0672e-03, -1.2350e-04, 2.8324e-04], ..., [ 1.0774e-05, 1.4305e-04, -7.5065e-06, ..., 1.2712e-03, 1.0145e-04, 2.1362e-04], [-1.5903e-04, -1.3056e-03, 4.5705e-04, ..., 1.8015e-03, 7.9989e-05, 2.6488e-04], [ 3.9078e-06, 1.3685e-04, 6.1131e-04, ..., 1.4839e-03, 1.4639e-04, 3.9959e-04]], device='cuda:0') Epoch 310, bias, value: tensor([-0.0283, 0.0370, -0.0025, -0.0081, 0.0229, -0.0292, 0.0080, 0.0041, -0.0039, -0.0181], device='cuda:0'), grad: tensor([ 0.0194, -0.0128, -0.0103, -0.0103, -0.0104, -0.0090, 0.0179, -0.0051, -0.0032, 0.0238], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 309---------------------------------------------------- epoch 309, time 233.29, cls_loss 0.5324 cls_loss_mapping 0.0058 cls_loss_causal 0.4597 re_mapping 0.0094 re_causal 0.0220 /// teacc 98.97 lr 0.00010000 Epoch 311, weight, value: tensor([[-0.0729, -0.1373, -0.0982, ..., -0.0423, 0.0567, -0.1102], [-0.0739, -0.0906, -0.0764, ..., 0.1011, -0.0403, 0.2242], [-0.0015, -0.0234, -0.0404, ..., -0.0078, -0.0080, -0.0804], ..., [ 0.0374, -0.1049, 0.1662, ..., 0.0358, -0.1030, 0.0547], [-0.0401, 0.0618, -0.1480, ..., -0.0543, 0.0131, -0.0919], [-0.0525, 0.0775, 0.0477, ..., -0.0558, -0.0439, -0.0278]], device='cuda:0'), grad: tensor([[ 1.0356e-06, 9.4771e-06, 4.8256e-04, ..., 2.8431e-05, 0.0000e+00, -6.8128e-05], [ 1.3039e-08, -6.6496e-07, -4.3654e-04, ..., 1.0056e-02, 0.0000e+00, -4.7013e-06], [ 8.4378e-07, 7.9423e-06, -7.1192e-04, ..., 1.1082e-03, 3.7253e-09, 1.9157e-04], ..., [ 2.7381e-07, 4.2230e-05, 9.3079e-04, ..., 9.2850e-03, 1.8626e-09, -1.7476e-04], [ 2.3190e-06, 2.6181e-05, -6.1131e-04, ..., 2.7027e-03, 1.1735e-07, 4.0919e-05], [ 2.0728e-05, 1.1259e-04, -1.6327e-03, ..., -1.9882e-02, 0.0000e+00, -4.5276e-04]], device='cuda:0') Epoch 311, bias, value: tensor([-0.0293, 0.0382, -0.0020, -0.0090, 0.0236, -0.0297, 0.0078, 0.0040, -0.0040, -0.0178], device='cuda:0'), grad: tensor([ 0.0107, 0.0085, -0.0146, 0.0176, -0.0042, -0.0106, 0.0167, 0.0325, -0.0095, -0.0472], device='cuda:0') 100 0.0001 changing lr epoch 310, time 217.34, cls_loss 0.5278 cls_loss_mapping 0.0024 cls_loss_causal 0.4609 re_mapping 0.0094 re_causal 0.0221 /// teacc 98.86 lr 0.00010000 Epoch 312, weight, value: tensor([[-0.0716, -0.1369, -0.0983, ..., -0.0419, 0.0576, -0.1108], [-0.0726, -0.0915, -0.0767, ..., 0.1001, -0.0391, 0.2244], [-0.0028, -0.0244, -0.0404, ..., -0.0089, -0.0079, -0.0804], ..., [ 0.0374, -0.1049, 0.1663, ..., 0.0369, -0.1029, 0.0542], [-0.0393, 0.0622, -0.1492, ..., -0.0558, 0.0131, -0.0926], [-0.0533, 0.0785, 0.0474, ..., -0.0562, -0.0456, -0.0275]], device='cuda:0'), grad: tensor([[ 3.2596e-07, 1.5891e-04, 2.2328e-04, ..., 4.0359e-03, 4.6444e-04, 1.1349e-04], [ 2.2165e-06, 6.5446e-05, 4.2748e-04, ..., -4.7226e-03, 1.0127e-04, -1.4529e-07], [ 3.1948e-05, 6.9022e-05, -3.2425e-03, ..., 4.8733e-04, 9.6083e-05, 1.8373e-05], ..., [ 1.2361e-05, 1.6046e-04, -5.3329e-03, ..., -1.0653e-03, 1.6129e-04, -6.4634e-07], [ 1.1295e-05, 3.4828e-03, 4.4203e-04, ..., 2.8706e-03, 2.0123e-04, 2.3782e-05], [ 1.2480e-06, -1.8549e-04, 2.6493e-03, ..., 2.2888e-03, 3.3045e-04, 5.5760e-05]], device='cuda:0') Epoch 312, bias, value: tensor([-0.0284, 0.0376, -0.0031, -0.0072, 0.0248, -0.0304, 0.0074, 0.0036, -0.0042, -0.0183], device='cuda:0'), grad: tensor([ 0.0194, -0.0198, -0.0478, 0.0243, -0.0481, 0.0016, -0.0094, 0.0059, 0.0274, 0.0464], device='cuda:0') 100 0.0001 changing lr epoch 311, time 214.83, cls_loss 0.5729 cls_loss_mapping 0.0038 cls_loss_causal 0.5081 re_mapping 0.0088 re_causal 0.0212 /// teacc 98.88 lr 0.00010000 Epoch 313, weight, value: tensor([[-0.0725, -0.1364, -0.0988, ..., -0.0429, 0.0585, -0.1103], [-0.0720, -0.0916, -0.0764, ..., 0.1006, -0.0377, 0.2245], [-0.0022, -0.0247, -0.0419, ..., -0.0085, -0.0090, -0.0802], ..., [ 0.0365, -0.1044, 0.1675, ..., 0.0374, -0.1036, 0.0542], [-0.0403, 0.0610, -0.1494, ..., -0.0555, 0.0120, -0.0924], [-0.0527, 0.0795, 0.0472, ..., -0.0576, -0.0454, -0.0278]], device='cuda:0'), grad: tensor([[ 2.9877e-06, 3.8290e-04, -2.6131e-04, ..., 1.2712e-03, 7.6408e-03, 2.6727e-04], [ 4.4629e-06, 2.7791e-05, 2.6493e-03, ..., 6.0806e-03, 1.4343e-03, -4.3541e-05], [ 9.0659e-05, 1.8864e-03, 5.4855e-03, ..., 5.2071e-03, -9.2392e-03, 6.8140e-04], ..., [ 8.8140e-06, 8.8274e-05, 1.8320e-03, ..., 2.3308e-03, 8.7070e-04, -1.1139e-03], [-2.2144e-03, -2.0962e-03, -6.1188e-03, ..., -1.5926e-03, 1.0920e-03, -7.2908e-04], [ 1.2361e-05, 1.8740e-04, 1.3752e-03, ..., 1.4210e-03, 2.3651e-03, 1.1206e-03]], device='cuda:0') Epoch 313, bias, value: tensor([-0.0292, 0.0381, -0.0024, -0.0078, 0.0249, -0.0302, 0.0065, 0.0040, -0.0039, -0.0185], device='cuda:0'), grad: tensor([ 0.0036, 0.0241, 0.0246, -0.0681, -0.0493, 0.0256, 0.0402, 0.0197, -0.0419, 0.0216], device='cuda:0') 100 0.0001 changing lr epoch 312, time 214.93, cls_loss 0.5334 cls_loss_mapping 0.0038 cls_loss_causal 0.4632 re_mapping 0.0096 re_causal 0.0225 /// teacc 98.83 lr 0.00010000 Epoch 314, weight, value: tensor([[-0.0737, -0.1367, -0.0990, ..., -0.0428, 0.0585, -0.1095], [-0.0715, -0.0932, -0.0775, ..., 0.1001, -0.0372, 0.2242], [-0.0012, -0.0240, -0.0410, ..., -0.0080, -0.0075, -0.0803], ..., [ 0.0365, -0.1052, 0.1670, ..., 0.0368, -0.1027, 0.0543], [-0.0410, 0.0611, -0.1495, ..., -0.0550, 0.0112, -0.0925], [-0.0532, 0.0788, 0.0467, ..., -0.0562, -0.0456, -0.0280]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 4.4703e-08, 1.9930e-07, ..., 9.4995e-07, 3.0428e-05, 3.7365e-03], [ 0.0000e+00, 2.7940e-08, 1.8831e-06, ..., 1.0140e-05, 3.1114e-05, 9.1362e-04], [ 0.0000e+00, 5.0105e-07, 2.6263e-07, ..., 4.4890e-07, 3.4511e-05, 3.4928e-04], ..., [ 0.0000e+00, 6.5938e-07, 6.8918e-07, ..., 2.7400e-06, -3.0828e-04, -1.3481e-02], [ 0.0000e+00, -1.0379e-05, 1.7621e-06, ..., 5.4203e-07, 4.2230e-05, 1.0204e-03], [ 0.0000e+00, -7.4506e-06, -8.9966e-07, ..., 1.2875e-05, 3.3736e-05, 1.6575e-03]], device='cuda:0') Epoch 314, bias, value: tensor([-0.0287, 0.0374, -0.0024, -0.0080, 0.0249, -0.0293, 0.0054, 0.0028, -0.0038, -0.0167], device='cuda:0'), grad: tensor([ 0.0169, 0.0199, 0.0145, -0.0149, -0.0087, -0.0464, 0.0177, -0.0341, 0.0177, 0.0174], device='cuda:0') 100 0.0001 changing lr epoch 313, time 214.51, cls_loss 0.5423 cls_loss_mapping 0.0028 cls_loss_causal 0.4743 re_mapping 0.0093 re_causal 0.0220 /// teacc 98.87 lr 0.00010000 Epoch 315, weight, value: tensor([[-7.3882e-02, -1.3584e-01, -9.9880e-02, ..., -4.2358e-02, 5.8917e-02, -1.0793e-01], [-7.2051e-02, -9.0594e-02, -7.8172e-02, ..., 1.0080e-01, -3.4654e-02, 2.2368e-01], [-1.0736e-04, -2.4511e-02, -4.0650e-02, ..., -7.5537e-03, -7.2541e-03, -8.0188e-02], ..., [ 3.7215e-02, -1.0462e-01, 1.6823e-01, ..., 3.6740e-02, -1.0393e-01, 5.4984e-02], [-4.1482e-02, 6.0425e-02, -1.5096e-01, ..., -5.5579e-02, 1.2466e-02, -9.3170e-02], [-5.3299e-02, 7.9450e-02, 4.6068e-02, ..., -5.5345e-02, -4.5439e-02, -2.7753e-02]], device='cuda:0'), grad: tensor([[ 4.9067e-04, 6.7282e-04, 1.6661e-03, ..., 7.2441e-03, 1.0383e-04, 1.1988e-03], [ 9.3222e-05, 5.0873e-05, 2.4204e-03, ..., 1.2770e-03, 7.8753e-06, 8.1253e-04], [-1.1045e-04, 3.1996e-04, 1.9464e-03, ..., 3.3588e-03, 4.0710e-05, 1.3037e-03], ..., [-9.6703e-04, 5.3048e-05, 1.3990e-03, ..., 1.2150e-03, 6.6496e-06, 1.0386e-03], [ 4.1461e-04, 7.0381e-04, 1.5831e-03, ..., 3.8967e-03, 1.0109e-04, 1.1749e-03], [ 2.6727e-04, -8.7357e-04, -6.5651e-03, ..., -8.0261e-03, 3.8326e-05, -1.7967e-03]], device='cuda:0') Epoch 315, bias, value: tensor([-0.0286, 0.0387, -0.0020, -0.0075, 0.0240, -0.0289, 0.0041, 0.0025, -0.0047, -0.0161], device='cuda:0'), grad: tensor([ 0.0427, -0.0065, 0.0210, -0.0019, 0.0167, -0.0047, -0.0084, -0.0083, 0.0241, -0.0747], device='cuda:0') 100 0.0001 changing lr epoch 314, time 215.10, cls_loss 0.5412 cls_loss_mapping 0.0038 cls_loss_causal 0.4709 re_mapping 0.0093 re_causal 0.0217 /// teacc 98.93 lr 0.00010000 Epoch 316, weight, value: tensor([[-0.0739, -0.1364, -0.1015, ..., -0.0416, 0.0588, -0.1088], [-0.0733, -0.0904, -0.0786, ..., 0.1007, -0.0344, 0.2232], [ 0.0010, -0.0241, -0.0397, ..., -0.0081, -0.0073, -0.0802], ..., [ 0.0366, -0.1047, 0.1676, ..., 0.0358, -0.1046, 0.0550], [-0.0398, 0.0611, -0.1505, ..., -0.0549, 0.0120, -0.0936], [-0.0539, 0.0794, 0.0469, ..., -0.0555, -0.0451, -0.0278]], device='cuda:0'), grad: tensor([[-9.0647e-04, 6.9104e-07, 2.9296e-05, ..., -3.0556e-03, 1.0282e-05, 3.4213e-05], [ 4.2105e-04, 3.0398e-05, 2.3353e-04, ..., -1.6565e-03, -6.9857e-05, 8.8587e-06], [ 3.2330e-04, 1.1355e-05, 2.3830e-04, ..., 9.3555e-04, 2.1726e-05, -2.2769e-04], ..., [ 3.5119e-04, 8.3912e-07, -6.5613e-03, ..., 1.2274e-03, 1.9222e-05, -1.2085e-05], [ 3.6287e-04, 1.1623e-04, 1.4341e-04, ..., 1.2245e-03, 1.6391e-05, 4.9084e-05], [ 3.6454e-04, 3.4273e-06, 3.4409e-03, ..., 1.7118e-03, 9.4950e-05, 3.3051e-05]], device='cuda:0') Epoch 316, bias, value: tensor([-0.0284, 0.0388, -0.0023, -0.0083, 0.0244, -0.0289, 0.0043, 0.0020, -0.0041, -0.0160], device='cuda:0'), grad: tensor([-0.1007, -0.0087, 0.0252, 0.0025, -0.0083, 0.0104, 0.0166, 0.0057, 0.0208, 0.0366], device='cuda:0') 100 0.0001 changing lr epoch 315, time 214.63, cls_loss 0.5262 cls_loss_mapping 0.0034 cls_loss_causal 0.4462 re_mapping 0.0095 re_causal 0.0224 /// teacc 98.88 lr 0.00010000 Epoch 317, weight, value: tensor([[-0.0733, -0.1368, -0.1009, ..., -0.0415, 0.0582, -0.1093], [-0.0738, -0.0899, -0.0778, ..., 0.1004, -0.0343, 0.2230], [ 0.0010, -0.0238, -0.0394, ..., -0.0084, -0.0083, -0.0809], ..., [ 0.0361, -0.1052, 0.1677, ..., 0.0351, -0.1049, 0.0550], [-0.0403, 0.0604, -0.1508, ..., -0.0545, 0.0129, -0.0942], [-0.0528, 0.0799, 0.0466, ..., -0.0557, -0.0451, -0.0282]], device='cuda:0'), grad: tensor([[-3.3989e-03, 1.7360e-06, 7.1764e-05, ..., -3.5305e-03, -2.8286e-03, -1.9302e-03], [ 2.1386e-04, 2.9746e-06, 1.5843e-04, ..., 3.3836e-03, 1.2803e-04, 8.1599e-05], [ 1.7285e-04, -3.0622e-06, -6.8760e-04, ..., -8.2684e-04, 1.2207e-04, -5.9462e-04], ..., [ 2.5635e-03, 3.9376e-06, 9.3430e-06, ..., 1.0319e-03, 7.4625e-05, 1.2445e-03], [ 7.5817e-04, 1.1340e-05, 8.7142e-05, ..., -2.1839e-03, 2.8086e-04, 4.1604e-04], [-3.4084e-03, 6.3144e-07, 8.2076e-05, ..., 3.3331e-04, 6.7472e-05, -1.3361e-03]], device='cuda:0') Epoch 317, bias, value: tensor([-0.0284, 0.0390, -0.0030, -0.0070, 0.0239, -0.0292, 0.0046, 0.0021, -0.0041, -0.0165], device='cuda:0'), grad: tensor([-0.0054, 0.0350, -0.0134, -0.0079, 0.0022, -0.0437, 0.0271, 0.0115, -0.0065, 0.0011], device='cuda:0') 100 0.0001 changing lr epoch 316, time 214.66, cls_loss 0.5303 cls_loss_mapping 0.0038 cls_loss_causal 0.4633 re_mapping 0.0091 re_causal 0.0205 /// teacc 98.83 lr 0.00010000 Epoch 318, weight, value: tensor([[-0.0722, -0.1372, -0.1011, ..., -0.0405, 0.0584, -0.1085], [-0.0742, -0.0884, -0.0778, ..., 0.1002, -0.0327, 0.2218], [ 0.0007, -0.0245, -0.0401, ..., -0.0086, -0.0088, -0.0810], ..., [ 0.0365, -0.1061, 0.1669, ..., 0.0344, -0.1060, 0.0556], [-0.0401, 0.0606, -0.1506, ..., -0.0546, 0.0133, -0.0947], [-0.0531, 0.0795, 0.0475, ..., -0.0553, -0.0457, -0.0281]], device='cuda:0'), grad: tensor([[ 1.9208e-05, 8.5878e-04, 9.5844e-04, ..., 1.9646e-03, 5.2500e-04, 1.8431e-06], [ 2.7418e-05, 3.8648e-04, 6.1655e-04, ..., 2.5253e-03, 2.6464e-04, 7.8440e-05], [-3.7551e-05, 4.7851e-04, 4.5943e-04, ..., 1.0872e-03, 1.3220e-04, 5.7101e-05], ..., [ 1.9278e-06, 7.4208e-05, -3.0175e-05, ..., -3.0575e-03, 3.7730e-05, 2.5496e-05], [ 3.9697e-05, -6.6519e-04, 9.2554e-04, ..., 1.3857e-03, 5.1689e-04, 7.7784e-06], [ 2.4904e-06, 3.0518e-04, -1.5621e-03, ..., 8.0681e-04, 6.8724e-05, -1.5664e-04]], device='cuda:0') Epoch 318, bias, value: tensor([-0.0276, 0.0388, -0.0042, -0.0067, 0.0240, -0.0299, 0.0048, 0.0032, -0.0041, -0.0167], device='cuda:0'), grad: tensor([-0.0098, -0.0036, 0.0033, 0.0043, 0.0197, 0.0123, -0.0093, -0.0071, -0.0181, 0.0082], device='cuda:0') 100 0.0001 changing lr epoch 317, time 214.66, cls_loss 0.5291 cls_loss_mapping 0.0027 cls_loss_causal 0.4678 re_mapping 0.0094 re_causal 0.0219 /// teacc 98.85 lr 0.00010000 Epoch 319, weight, value: tensor([[-0.0723, -0.1371, -0.0998, ..., -0.0421, 0.0581, -0.1091], [-0.0739, -0.0888, -0.0787, ..., 0.1006, -0.0335, 0.2221], [ 0.0007, -0.0255, -0.0402, ..., -0.0083, -0.0084, -0.0815], ..., [ 0.0362, -0.1067, 0.1670, ..., 0.0341, -0.1076, 0.0556], [-0.0401, 0.0611, -0.1507, ..., -0.0555, 0.0140, -0.0952], [-0.0530, 0.0782, 0.0478, ..., -0.0557, -0.0463, -0.0275]], device='cuda:0'), grad: tensor([[-4.9591e-04, -2.6035e-04, 1.3925e-05, ..., 5.0850e-03, -2.9430e-03, 1.2839e-04], [ 1.9625e-05, 6.8605e-05, 1.4353e-04, ..., 1.6260e-03, -7.4625e-04, -3.8099e-04], [ 1.7536e-04, 4.6396e-04, 9.4533e-05, ..., 1.3218e-03, 1.1206e-03, 4.0740e-05], ..., [ 2.9668e-05, 4.8310e-05, -2.3961e-04, ..., -9.2163e-03, -7.8678e-04, 1.1402e-04], [-2.2165e-07, -1.5554e-03, 8.2672e-05, ..., -4.6349e-03, 5.2691e-04, -3.9563e-06], [ 9.7334e-05, 1.7083e-04, 6.8903e-05, ..., 1.2789e-03, 6.3848e-04, 6.7353e-05]], device='cuda:0') Epoch 319, bias, value: tensor([-0.0279, 0.0382, -0.0043, -0.0054, 0.0244, -0.0293, 0.0048, 0.0031, -0.0046, -0.0174], device='cuda:0'), grad: tensor([ 0.0305, -0.0092, 0.0214, 0.0222, 0.0034, 0.0074, -0.0105, -0.0749, -0.0273, 0.0370], device='cuda:0') 100 0.0001 changing lr epoch 318, time 214.67, cls_loss 0.5367 cls_loss_mapping 0.0027 cls_loss_causal 0.4680 re_mapping 0.0096 re_causal 0.0217 /// teacc 98.84 lr 0.00010000 Epoch 320, weight, value: tensor([[-0.0713, -0.1383, -0.0995, ..., -0.0432, 0.0578, -0.1096], [-0.0745, -0.0876, -0.0796, ..., 0.1013, -0.0346, 0.2227], [ 0.0007, -0.0273, -0.0409, ..., -0.0063, -0.0082, -0.0817], ..., [ 0.0367, -0.1076, 0.1668, ..., 0.0333, -0.1094, 0.0558], [-0.0404, 0.0613, -0.1510, ..., -0.0542, 0.0136, -0.0955], [-0.0531, 0.0789, 0.0485, ..., -0.0568, -0.0460, -0.0286]], device='cuda:0'), grad: tensor([[ 2.8417e-05, 1.1486e-04, -1.7405e-03, ..., -4.1246e-04, -4.5276e-04, -1.7750e-04], [-2.7731e-05, 6.9499e-05, 9.2030e-04, ..., 2.4261e-03, 1.3742e-03, 4.7541e-04], [ 1.9634e-04, 4.7255e-04, 1.1721e-03, ..., -7.4387e-03, -1.5965e-03, 6.6662e-04], ..., [ 1.1422e-05, 3.8872e-03, -9.2077e-04, ..., 2.9163e-03, 6.1703e-04, 4.8637e-03], [-1.6356e-04, -4.2992e-03, 3.3736e-04, ..., 1.4305e-03, 9.6416e-04, 4.1699e-04], [ 1.3344e-05, 1.9968e-04, 5.7983e-04, ..., 1.0595e-03, 8.3780e-04, 4.9305e-04]], device='cuda:0') Epoch 320, bias, value: tensor([-0.0292, 0.0390, -0.0035, -0.0050, 0.0235, -0.0301, 0.0053, 0.0027, -0.0035, -0.0177], device='cuda:0'), grad: tensor([ 0.0073, 0.0232, -0.0161, -0.0335, 0.0197, 0.0321, -0.0373, 0.0239, -0.0027, -0.0165], device='cuda:0') 100 0.0001 changing lr epoch 319, time 214.57, cls_loss 0.5736 cls_loss_mapping 0.0027 cls_loss_causal 0.5084 re_mapping 0.0095 re_causal 0.0220 /// teacc 98.79 lr 0.00010000 Epoch 321, weight, value: tensor([[-0.0718, -0.1382, -0.0996, ..., -0.0443, 0.0583, -0.1090], [-0.0763, -0.0871, -0.0801, ..., 0.1003, -0.0336, 0.2236], [ 0.0017, -0.0276, -0.0397, ..., -0.0034, -0.0083, -0.0819], ..., [ 0.0376, -0.1077, 0.1669, ..., 0.0324, -0.1095, 0.0549], [-0.0393, 0.0603, -0.1506, ..., -0.0539, 0.0130, -0.0959], [-0.0535, 0.0791, 0.0482, ..., -0.0577, -0.0473, -0.0275]], device='cuda:0'), grad: tensor([[ 1.6868e-05, 2.3556e-04, 2.1470e-04, ..., 4.4250e-04, -6.6109e-03, 1.5104e-04], [ 1.4520e-04, 4.3344e-04, 1.8942e-04, ..., 1.3697e-04, 3.7217e-04, -7.5340e-04], [ 1.1313e-04, 1.0805e-03, 4.4870e-04, ..., 3.8261e-03, 5.6534e-03, 1.8322e-04], ..., [ 2.3067e-04, 5.5170e-04, -7.5769e-04, ..., -2.4915e-04, 1.9932e-04, 5.0545e-04], [ 5.6839e-04, 1.5621e-03, 8.0919e-04, ..., 1.9703e-03, 2.8682e-04, 3.1734e-04], [-8.4686e-04, -2.3327e-03, 5.5170e-04, ..., -4.5991e-04, 2.5702e-04, 1.2994e-04]], device='cuda:0') Epoch 321, bias, value: tensor([-0.0298, 0.0389, -0.0019, -0.0056, 0.0233, -0.0297, 0.0053, 0.0031, -0.0041, -0.0182], device='cuda:0'), grad: tensor([-0.0119, 0.0091, 0.0319, -0.0358, -0.0158, 0.0162, 0.0174, -0.0199, 0.0150, -0.0062], device='cuda:0') 100 0.0001 changing lr epoch 320, time 214.25, cls_loss 0.5546 cls_loss_mapping 0.0037 cls_loss_causal 0.4972 re_mapping 0.0096 re_causal 0.0219 /// teacc 98.84 lr 0.00010000 Epoch 322, weight, value: tensor([[-0.0714, -0.1397, -0.1003, ..., -0.0417, 0.0588, -0.1092], [-0.0760, -0.0872, -0.0806, ..., 0.1001, -0.0341, 0.2249], [ 0.0010, -0.0279, -0.0400, ..., -0.0041, -0.0068, -0.0835], ..., [ 0.0384, -0.1081, 0.1680, ..., 0.0325, -0.1083, 0.0546], [-0.0384, 0.0604, -0.1501, ..., -0.0546, 0.0121, -0.0967], [-0.0550, 0.0797, 0.0478, ..., -0.0579, -0.0471, -0.0275]], device='cuda:0'), grad: tensor([[ 3.3714e-06, 9.2164e-06, 1.4983e-05, ..., 6.6280e-04, 2.4214e-08, 7.9107e-04], [ 1.8077e-06, 4.5039e-06, 1.0543e-05, ..., -1.3794e-02, 5.5879e-09, -6.9084e-03], [ 5.6207e-05, 6.2764e-05, 1.2493e-04, ..., 1.3380e-03, 4.6566e-08, 1.1005e-03], ..., [ 3.8128e-06, 6.5006e-06, -3.6087e-03, ..., 9.4461e-04, 0.0000e+00, -1.5945e-02], [-2.4331e-04, -4.6968e-04, -1.8191e-04, ..., 3.6831e-03, 1.7881e-07, 1.3142e-03], [ 5.3942e-06, 2.0593e-05, 3.5954e-03, ..., -8.0967e-04, 7.4506e-09, 1.7593e-02]], device='cuda:0') Epoch 322, bias, value: tensor([-0.0282, 0.0387, -0.0018, -0.0055, 0.0233, -0.0306, 0.0049, 0.0022, -0.0045, -0.0171], device='cuda:0'), grad: tensor([-0.0105, -0.0434, 0.0177, 0.0166, 0.0162, -0.0153, 0.0279, -0.0116, 0.0242, -0.0217], device='cuda:0') 100 0.0001 changing lr epoch 321, time 214.87, cls_loss 0.5378 cls_loss_mapping 0.0035 cls_loss_causal 0.4724 re_mapping 0.0092 re_causal 0.0216 /// teacc 98.86 lr 0.00010000 Epoch 323, weight, value: tensor([[-0.0703, -0.1402, -0.1006, ..., -0.0414, 0.0593, -0.1097], [-0.0756, -0.0885, -0.0819, ..., 0.0999, -0.0364, 0.2254], [ 0.0005, -0.0271, -0.0404, ..., -0.0046, -0.0072, -0.0833], ..., [ 0.0385, -0.1073, 0.1689, ..., 0.0331, -0.1071, 0.0552], [-0.0385, 0.0603, -0.1504, ..., -0.0547, 0.0126, -0.0972], [-0.0558, 0.0791, 0.0478, ..., -0.0577, -0.0477, -0.0280]], device='cuda:0'), grad: tensor([[ 7.8344e-04, -3.9172e-04, 5.2643e-04, ..., 7.9727e-04, 2.1191e-03, 5.0277e-05], [ 6.1131e-04, 5.4855e-07, 5.1403e-04, ..., 2.1378e-02, 2.0790e-04, 1.0341e-04], [-5.2986e-03, 2.1711e-05, 9.5224e-04, ..., -2.3315e-02, -3.9276e-02, 3.0756e-04], ..., [ 3.2139e-04, -1.7047e-05, 5.2071e-04, ..., 2.0003e-04, 4.0936e-04, -1.0529e-03], [ 1.0328e-03, 4.2647e-05, -7.9117e-03, ..., -4.0932e-03, 2.1973e-02, 8.1182e-05], [ 8.2970e-04, 3.5024e-04, 1.6365e-03, ..., 1.1187e-03, 1.5011e-03, 1.1320e-03]], device='cuda:0') Epoch 323, bias, value: tensor([-0.0277, 0.0386, -0.0022, -0.0064, 0.0230, -0.0307, 0.0057, 0.0023, -0.0034, -0.0177], device='cuda:0'), grad: tensor([-0.0076, 0.0458, -0.0632, -0.0058, -0.0288, 0.0220, 0.0331, 0.0235, -0.0501, 0.0313], device='cuda:0') 100 0.0001 changing lr epoch 322, time 214.48, cls_loss 0.5654 cls_loss_mapping 0.0034 cls_loss_causal 0.4951 re_mapping 0.0090 re_causal 0.0213 /// teacc 98.83 lr 0.00010000 Epoch 324, weight, value: tensor([[-0.0723, -0.1364, -0.0995, ..., -0.0400, 0.0589, -0.1095], [-0.0768, -0.0869, -0.0818, ..., 0.1000, -0.0352, 0.2258], [ 0.0020, -0.0261, -0.0403, ..., -0.0051, -0.0065, -0.0837], ..., [ 0.0395, -0.1086, 0.1690, ..., 0.0337, -0.1071, 0.0554], [-0.0371, 0.0593, -0.1509, ..., -0.0551, 0.0130, -0.0980], [-0.0576, 0.0786, 0.0482, ..., -0.0584, -0.0482, -0.0276]], device='cuda:0'), grad: tensor([[-3.5858e-03, 2.6112e-03, 1.1466e-05, ..., 2.6836e-03, 1.5764e-03, 7.2084e-07], [ 3.3474e-04, 4.6778e-04, 1.4789e-05, ..., 7.7295e-04, 1.5221e-03, -2.4531e-06], [-2.2163e-03, -1.6403e-03, -1.0052e-03, ..., 3.6831e-03, 1.5821e-03, 4.8801e-06], ..., [ 1.4267e-03, 7.7772e-04, 8.7142e-05, ..., 2.1572e-03, 6.4230e-04, -4.3797e-04], [ 7.2622e-04, 2.8753e-04, 1.4842e-04, ..., 6.6805e-04, 3.7789e-04, 8.1677e-07], [ 4.8161e-04, 1.1122e-04, 7.8380e-05, ..., 1.9729e-04, 9.0456e-04, 1.4961e-04]], device='cuda:0') Epoch 324, bias, value: tensor([-0.0273, 0.0385, -0.0022, -0.0066, 0.0227, -0.0302, 0.0056, 0.0028, -0.0039, -0.0178], device='cuda:0'), grad: tensor([-0.0067, 0.0095, 0.0565, -0.0278, -0.0186, -0.0215, -0.0148, 0.0108, 0.0074, 0.0051], device='cuda:0') 100 0.0001 changing lr epoch 323, time 214.60, cls_loss 0.5348 cls_loss_mapping 0.0025 cls_loss_causal 0.4616 re_mapping 0.0095 re_causal 0.0211 /// teacc 98.80 lr 0.00010000 Epoch 325, weight, value: tensor([[-0.0722, -0.1371, -0.0993, ..., -0.0414, 0.0594, -0.1091], [-0.0792, -0.0878, -0.0823, ..., 0.1006, -0.0357, 0.2263], [ 0.0018, -0.0257, -0.0403, ..., -0.0052, -0.0079, -0.0831], ..., [ 0.0396, -0.1080, 0.1696, ..., 0.0335, -0.1081, 0.0553], [-0.0368, 0.0602, -0.1515, ..., -0.0556, 0.0130, -0.0978], [-0.0557, 0.0782, 0.0479, ..., -0.0573, -0.0470, -0.0277]], device='cuda:0'), grad: tensor([[ 1.6892e-04, 9.1970e-05, 1.6868e-04, ..., 3.9792e-04, -2.4509e-04, 3.0234e-05], [ 2.9063e-04, 2.1303e-04, 4.0894e-03, ..., 5.9843e-04, 3.2902e-05, 3.3021e-05], [ 1.1406e-03, 1.1978e-03, 2.4757e-03, ..., 2.1839e-03, 5.1826e-05, 2.8682e-04], ..., [ 3.6287e-04, 5.1641e-04, -5.6190e-03, ..., 1.0471e-03, 2.7716e-05, 7.0453e-05], [ 9.5177e-04, 6.3419e-04, 2.8210e-03, ..., 1.2579e-03, 4.3243e-05, 6.7830e-05], [ 1.4663e-04, -1.8701e-05, 1.6117e-04, ..., 2.3699e-04, 2.4617e-05, -5.2899e-05]], device='cuda:0') Epoch 325, bias, value: tensor([-0.0277, 0.0386, -0.0013, -0.0064, 0.0222, -0.0304, 0.0056, 0.0014, -0.0045, -0.0161], device='cuda:0'), grad: tensor([-0.0134, -0.0049, 0.0234, -0.0177, 0.0126, 0.0030, 0.0245, -0.0281, 0.0190, -0.0185], device='cuda:0') 100 0.0001 changing lr epoch 324, time 214.48, cls_loss 0.5519 cls_loss_mapping 0.0027 cls_loss_causal 0.4844 re_mapping 0.0091 re_causal 0.0213 /// teacc 98.68 lr 0.00010000 Epoch 326, weight, value: tensor([[-0.0696, -0.1379, -0.1001, ..., -0.0410, 0.0599, -0.1086], [-0.0797, -0.0877, -0.0827, ..., 0.0999, -0.0340, 0.2267], [ 0.0013, -0.0263, -0.0424, ..., -0.0064, -0.0083, -0.0838], ..., [ 0.0376, -0.1081, 0.1709, ..., 0.0341, -0.1085, 0.0548], [-0.0373, 0.0593, -0.1513, ..., -0.0559, 0.0124, -0.0990], [-0.0547, 0.0777, 0.0468, ..., -0.0570, -0.0467, -0.0289]], device='cuda:0'), grad: tensor([[ 6.0424e-06, 1.7777e-05, 6.2525e-05, ..., 5.5027e-04, 3.3522e-04, 1.2195e-04], [ 4.9546e-06, 2.7344e-05, 4.9174e-05, ..., -1.6756e-03, -6.1417e-04, -1.5378e-04], [ 1.2219e-04, 2.2495e-04, 2.9230e-04, ..., -1.9765e-04, -2.2354e-03, 2.2018e-04], ..., [ 3.9172e-04, 5.3215e-04, 2.6684e-03, ..., 1.6584e-03, 4.7445e-04, 3.5095e-04], [-1.3609e-03, -1.6870e-03, -2.1591e-03, ..., 3.5596e-04, 2.9540e-04, -3.9887e-04], [ 7.2539e-05, 1.0860e-04, -1.1120e-03, ..., -3.8643e-03, 3.1924e-04, 9.4748e-04]], device='cuda:0') Epoch 326, bias, value: tensor([-0.0269, 0.0390, -0.0023, -0.0071, 0.0211, -0.0288, 0.0054, 0.0025, -0.0054, -0.0159], device='cuda:0'), grad: tensor([ 0.0275, -0.0425, -0.0341, -0.0009, 0.0162, 0.0037, 0.0127, 0.0449, 0.0141, -0.0416], device='cuda:0') 100 0.0001 changing lr epoch 325, time 214.77, cls_loss 0.5389 cls_loss_mapping 0.0029 cls_loss_causal 0.4814 re_mapping 0.0093 re_causal 0.0226 /// teacc 98.79 lr 0.00010000 Epoch 327, weight, value: tensor([[-0.0689, -0.1384, -0.1004, ..., -0.0395, 0.0590, -0.1086], [-0.0794, -0.0876, -0.0819, ..., 0.1009, -0.0345, 0.2271], [ 0.0009, -0.0269, -0.0422, ..., -0.0064, -0.0079, -0.0823], ..., [ 0.0380, -0.1092, 0.1698, ..., 0.0329, -0.1093, 0.0552], [-0.0363, 0.0590, -0.1512, ..., -0.0548, 0.0118, -0.0986], [-0.0543, 0.0782, 0.0466, ..., -0.0570, -0.0469, -0.0303]], device='cuda:0'), grad: tensor([[ 3.0065e-04, 1.6451e-04, 3.4571e-04, ..., -7.5722e-04, 4.4912e-05, 8.2779e-04], [ 3.1109e-03, 2.6774e-04, -3.5954e-04, ..., 1.4000e-02, 2.3648e-05, 8.6927e-04], [ 3.5357e-04, 6.6566e-04, 2.0905e-03, ..., 1.1797e-03, 1.2529e-04, 2.5272e-03], ..., [ 1.4229e-03, 1.5755e-03, -3.9876e-05, ..., -3.2735e-04, 7.6675e-04, -2.9540e-04], [-6.2294e-03, -7.8917e-04, 6.4611e-04, ..., -1.1406e-02, 9.8825e-05, 9.8896e-04], [ 8.0633e-04, -2.3441e-03, -1.2341e-03, ..., 2.3155e-03, 1.9681e-04, -2.6330e-05]], device='cuda:0') Epoch 327, bias, value: tensor([-0.0272, 0.0406, -0.0013, -0.0075, 0.0222, -0.0299, 0.0045, 0.0015, -0.0055, -0.0158], device='cuda:0'), grad: tensor([-0.0079, 0.0475, 0.0215, 0.0343, -0.0223, 0.0051, -0.0388, 0.0027, -0.0565, 0.0144], device='cuda:0') 100 0.0001 changing lr epoch 326, time 214.46, cls_loss 0.5098 cls_loss_mapping 0.0027 cls_loss_causal 0.4442 re_mapping 0.0095 re_causal 0.0218 /// teacc 98.78 lr 0.00010000 Epoch 328, weight, value: tensor([[-0.0682, -0.1390, -0.1004, ..., -0.0394, 0.0596, -0.1081], [-0.0799, -0.0878, -0.0821, ..., 0.1007, -0.0343, 0.2265], [ 0.0013, -0.0263, -0.0423, ..., -0.0069, -0.0081, -0.0829], ..., [ 0.0373, -0.1099, 0.1699, ..., 0.0322, -0.1093, 0.0557], [-0.0359, 0.0583, -0.1512, ..., -0.0535, 0.0107, -0.0988], [-0.0539, 0.0794, 0.0468, ..., -0.0560, -0.0462, -0.0310]], device='cuda:0'), grad: tensor([[ 3.2163e-04, 2.3283e-08, 3.1088e-06, ..., 9.6464e-04, 8.6498e-04, 1.0389e-04], [ 9.5034e-04, 3.8184e-08, 1.5207e-05, ..., 8.1730e-04, 7.3481e-04, 2.8920e-04], [ 3.2377e-04, 8.6334e-07, 7.0095e-05, ..., 7.6628e-04, 7.6103e-04, 1.3947e-04], ..., [-1.0101e-02, 8.3819e-09, -2.4605e-04, ..., 4.7302e-04, 5.8937e-04, -3.2959e-03], [ 9.2506e-05, 7.7300e-08, 8.0541e-06, ..., -3.0098e-03, -1.9531e-03, 3.4988e-05], [ 3.9940e-03, 4.7497e-08, 1.4178e-05, ..., 1.0719e-03, 1.2865e-03, 1.2484e-03]], device='cuda:0') Epoch 328, bias, value: tensor([-0.0276, 0.0408, -0.0013, -0.0070, 0.0216, -0.0301, 0.0043, 0.0018, -0.0054, -0.0159], device='cuda:0'), grad: tensor([ 0.0230, -0.0054, 0.0227, -0.0416, -0.0211, -0.0041, 0.0276, 0.0049, -0.0438, 0.0379], device='cuda:0') 100 0.0001 changing lr epoch 327, time 214.24, cls_loss 0.5267 cls_loss_mapping 0.0026 cls_loss_causal 0.4683 re_mapping 0.0091 re_causal 0.0213 /// teacc 98.81 lr 0.00010000 Epoch 329, weight, value: tensor([[-0.0677, -0.1397, -0.0997, ..., -0.0389, 0.0584, -0.1093], [-0.0798, -0.0883, -0.0837, ..., 0.1006, -0.0346, 0.2261], [ 0.0016, -0.0264, -0.0434, ..., -0.0068, -0.0075, -0.0838], ..., [ 0.0369, -0.1101, 0.1692, ..., 0.0324, -0.1105, 0.0565], [-0.0353, 0.0582, -0.1506, ..., -0.0531, 0.0098, -0.0993], [-0.0534, 0.0797, 0.0482, ..., -0.0547, -0.0474, -0.0295]], device='cuda:0'), grad: tensor([[ 1.3387e-04, 4.8113e-04, 1.1049e-05, ..., 8.7643e-04, 7.4327e-05, 2.0862e-04], [-1.5221e-03, -2.3842e-03, -9.8610e-04, ..., -8.1711e-03, -6.4373e-04, 9.0897e-05], [ 2.0027e-03, 3.1700e-03, 9.2840e-04, ..., 9.4681e-03, 8.2159e-04, 2.5177e-04], ..., [ 1.6201e-04, -2.2755e-03, -8.4281e-05, ..., -4.4861e-03, -1.1432e-04, -3.2063e-03], [ 3.9077e-04, 3.7432e-04, 8.5216e-07, ..., 1.3885e-03, 1.3828e-04, 4.1604e-04], [-4.9591e-03, 4.6206e-04, 7.1585e-05, ..., -3.5076e-03, -1.1263e-03, 7.4768e-04]], device='cuda:0') Epoch 329, bias, value: tensor([-0.0278, 0.0412, -0.0023, -0.0067, 0.0214, -0.0296, 0.0045, 0.0017, -0.0053, -0.0159], device='cuda:0'), grad: tensor([ 0.0084, -0.0204, 0.0372, 0.0158, 0.0213, -0.0232, 0.0086, -0.0512, 0.0102, -0.0067], device='cuda:0') 100 0.0001 changing lr epoch 328, time 214.46, cls_loss 0.5344 cls_loss_mapping 0.0032 cls_loss_causal 0.4654 re_mapping 0.0091 re_causal 0.0218 /// teacc 98.81 lr 0.00010000 Epoch 330, weight, value: tensor([[-0.0691, -0.1397, -0.1000, ..., -0.0411, 0.0587, -0.1099], [-0.0788, -0.0884, -0.0842, ..., 0.1011, -0.0346, 0.2268], [ 0.0029, -0.0260, -0.0447, ..., -0.0055, -0.0074, -0.0843], ..., [ 0.0379, -0.1101, 0.1705, ..., 0.0342, -0.1112, 0.0576], [-0.0351, 0.0596, -0.1509, ..., -0.0532, 0.0105, -0.1011], [-0.0538, 0.0798, 0.0484, ..., -0.0550, -0.0483, -0.0309]], device='cuda:0'), grad: tensor([[ 4.1932e-05, 2.9016e-04, 6.2132e-04, ..., 2.5005e-03, 2.0504e-04, 3.2157e-05], [ 2.6971e-05, 1.3876e-04, 5.4646e-04, ..., 1.4496e-03, 1.1766e-04, -6.1607e-04], [-1.0319e-03, -3.9887e-04, -2.7442e-04, ..., -3.9935e-04, 1.2106e-04, -5.2023e-04], ..., [ 1.9646e-04, 2.3103e-04, -1.2695e-02, ..., 2.0161e-03, 1.8430e-04, -6.5498e-03], [ 5.9366e-04, -2.9087e-03, -3.6297e-03, ..., -1.2253e-02, -1.6212e-03, 4.8447e-04], [ 3.6925e-05, 3.9601e-04, 1.3367e-02, ..., 4.1428e-03, 2.1935e-04, 6.7558e-03]], device='cuda:0') Epoch 330, bias, value: tensor([-0.0291, 0.0411, -0.0020, -0.0071, 0.0217, -0.0292, 0.0043, 0.0032, -0.0051, -0.0164], device='cuda:0'), grad: tensor([ 0.0229, 0.0243, 0.0140, -0.0035, -0.0084, 0.0229, -0.0011, -0.0235, -0.0911, 0.0436], device='cuda:0') 100 0.0001 changing lr epoch 329, time 214.44, cls_loss 0.5505 cls_loss_mapping 0.0034 cls_loss_causal 0.4836 re_mapping 0.0088 re_causal 0.0208 /// teacc 98.57 lr 0.00010000 Epoch 331, weight, value: tensor([[-0.0699, -0.1401, -0.1006, ..., -0.0417, 0.0586, -0.1102], [-0.0790, -0.0886, -0.0841, ..., 0.1016, -0.0346, 0.2278], [ 0.0022, -0.0261, -0.0450, ..., -0.0044, -0.0077, -0.0832], ..., [ 0.0377, -0.1109, 0.1709, ..., 0.0345, -0.1122, 0.0564], [-0.0349, 0.0600, -0.1514, ..., -0.0541, 0.0116, -0.1013], [-0.0534, 0.0796, 0.0473, ..., -0.0559, -0.0488, -0.0305]], device='cuda:0'), grad: tensor([[ 7.3481e-07, 4.0412e-04, 4.2248e-04, ..., 1.3227e-03, 8.6367e-05, 1.7548e-04], [ 1.0645e-06, 6.0368e-04, 8.0252e-04, ..., -6.9666e-04, 1.8394e-04, -1.3809e-02], [-1.5467e-05, -1.8473e-03, -2.4414e-03, ..., 2.6932e-03, 1.8620e-04, 2.7061e-04], ..., [ 7.5363e-06, 1.5926e-03, 1.7891e-03, ..., 3.0117e-03, 2.1780e-04, 4.6873e-04], [ 3.8333e-06, 1.4868e-03, 1.5049e-03, ..., 3.0956e-03, 2.3162e-04, 6.9284e-04], [ 4.0047e-08, -1.2253e-02, -1.7233e-03, ..., -5.0316e-03, -1.4410e-03, -1.3762e-03]], device='cuda:0') Epoch 331, bias, value: tensor([-0.0284, 0.0410, -0.0023, -0.0081, 0.0218, -0.0292, 0.0044, 0.0034, -0.0049, -0.0164], device='cuda:0'), grad: tensor([ 0.0084, -0.0080, -0.0023, 0.0145, 0.0205, -0.0456, -0.0004, 0.0190, 0.0185, -0.0246], device='cuda:0') 100 0.0001 changing lr epoch 330, time 214.92, cls_loss 0.5206 cls_loss_mapping 0.0031 cls_loss_causal 0.4554 re_mapping 0.0092 re_causal 0.0215 /// teacc 98.84 lr 0.00010000 Epoch 332, weight, value: tensor([[-0.0702, -0.1402, -0.1002, ..., -0.0422, 0.0599, -0.1098], [-0.0781, -0.0890, -0.0845, ..., 0.1021, -0.0350, 0.2289], [ 0.0029, -0.0243, -0.0433, ..., -0.0037, -0.0076, -0.0832], ..., [ 0.0392, -0.1117, 0.1714, ..., 0.0365, -0.1122, 0.0561], [-0.0356, 0.0599, -0.1530, ..., -0.0553, 0.0112, -0.1010], [-0.0550, 0.0819, 0.0471, ..., -0.0592, -0.0498, -0.0306]], device='cuda:0'), grad: tensor([[-4.3793e-03, 7.5960e-04, -2.7771e-03, ..., -1.1215e-02, 0.0000e+00, 1.8442e-04], [ 1.4842e-04, 5.2738e-04, 1.2010e-04, ..., 2.5749e-03, 0.0000e+00, 7.4267e-05], [ 1.1625e-03, 1.6546e-03, 8.1253e-04, ..., 2.2202e-03, 0.0000e+00, -1.0786e-03], ..., [ 6.2037e-04, -7.3767e-04, 1.9388e-03, ..., 1.1358e-03, 0.0000e+00, -1.5318e-04], [ 3.3092e-04, 3.7217e-04, 5.5981e-04, ..., 2.1839e-03, 0.0000e+00, 2.3520e-04], [ 3.4022e-04, 5.2595e-04, 1.1482e-03, ..., 1.8950e-03, 0.0000e+00, 3.5930e-04]], device='cuda:0') Epoch 332, bias, value: tensor([-0.0276, 0.0412, -0.0012, -0.0086, 0.0221, -0.0291, 0.0046, 0.0033, -0.0063, -0.0169], device='cuda:0'), grad: tensor([-0.0450, 0.0156, 0.0101, -0.0200, 0.0176, 0.0179, -0.0099, -0.0138, 0.0130, 0.0146], device='cuda:0') 100 0.0001 changing lr epoch 331, time 214.78, cls_loss 0.5624 cls_loss_mapping 0.0033 cls_loss_causal 0.4938 re_mapping 0.0094 re_causal 0.0225 /// teacc 98.82 lr 0.00010000 Epoch 333, weight, value: tensor([[-0.0707, -0.1414, -0.1013, ..., -0.0435, 0.0606, -0.1093], [-0.0780, -0.0880, -0.0855, ..., 0.1014, -0.0352, 0.2295], [ 0.0037, -0.0252, -0.0444, ..., -0.0028, -0.0082, -0.0815], ..., [ 0.0380, -0.1118, 0.1720, ..., 0.0365, -0.1122, 0.0558], [-0.0373, 0.0588, -0.1534, ..., -0.0552, 0.0120, -0.1038], [-0.0530, 0.0831, 0.0478, ..., -0.0594, -0.0493, -0.0308]], device='cuda:0'), grad: tensor([[ 5.5600e-07, 1.0777e-03, 3.9387e-04, ..., 4.0932e-03, 1.2779e-03, 1.9894e-03], [ 7.8380e-06, 5.9557e-04, 1.9658e-04, ..., 1.9474e-03, 2.1553e-04, 8.1587e-04], [-5.7191e-05, 8.1253e-04, 2.7776e-04, ..., 2.9583e-03, -3.1173e-05, 2.8954e-03], ..., [ 3.9458e-05, -2.7370e-03, -1.1587e-03, ..., -7.3509e-03, -2.0079e-06, -8.9874e-03], [ 3.7011e-06, -1.4229e-03, 1.0508e-04, ..., -6.7101e-03, 1.3280e-04, 8.1778e-04], [ 4.0326e-07, 9.7942e-04, 7.1573e-04, ..., 2.5215e-03, 2.2304e-04, 1.5297e-03]], device='cuda:0') Epoch 333, bias, value: tensor([-0.0286, 0.0413, -0.0014, -0.0089, 0.0218, -0.0291, 0.0049, 0.0031, -0.0057, -0.0162], device='cuda:0'), grad: tensor([ 0.0215, 0.0115, -0.0117, 0.0040, 0.0129, 0.0329, -0.0030, -0.0371, -0.0472, 0.0162], device='cuda:0') 100 0.0001 changing lr epoch 332, time 214.96, cls_loss 0.5500 cls_loss_mapping 0.0031 cls_loss_causal 0.4859 re_mapping 0.0094 re_causal 0.0224 /// teacc 98.80 lr 0.00010000 Epoch 334, weight, value: tensor([[-0.0716, -0.1432, -0.1001, ..., -0.0421, 0.0615, -0.1093], [-0.0790, -0.0881, -0.0849, ..., 0.1019, -0.0346, 0.2303], [ 0.0039, -0.0241, -0.0451, ..., -0.0006, -0.0084, -0.0800], ..., [ 0.0394, -0.1130, 0.1711, ..., 0.0355, -0.1139, 0.0555], [-0.0379, 0.0586, -0.1543, ..., -0.0554, 0.0116, -0.1052], [-0.0520, 0.0845, 0.0491, ..., -0.0597, -0.0499, -0.0303]], device='cuda:0'), grad: tensor([[ 3.4153e-05, 3.4122e-03, 1.0121e-04, ..., 5.6696e-04, 8.4639e-05, 4.6768e-03], [ 3.8910e-03, 6.5613e-04, -1.3387e-04, ..., -5.7793e-04, 1.5251e-05, 3.7327e-03], [ 1.2326e-04, 1.8196e-03, 4.3344e-04, ..., 2.3251e-03, 3.2687e-04, 2.0466e-03], ..., [ 2.7823e-04, 1.7481e-03, 7.2539e-05, ..., 1.3742e-03, 3.2306e-05, 2.8362e-03], [ 1.0258e-04, -5.6419e-03, 1.0449e-04, ..., -1.2598e-03, 7.6950e-05, -8.0566e-03], [ 5.7697e-04, -2.2278e-03, 2.2743e-06, ..., -1.1748e-04, 1.3769e-04, -1.7738e-03]], device='cuda:0') Epoch 334, bias, value: tensor([-0.0274, 0.0418, -0.0007, -0.0090, 0.0221, -0.0293, 0.0041, 0.0032, -0.0067, -0.0165], device='cuda:0'), grad: tensor([ 0.0305, -0.0086, 0.0124, 0.0070, -0.0076, 0.0071, -0.0199, 0.0193, -0.0200, -0.0202], device='cuda:0') 100 0.0001 changing lr epoch 333, time 214.46, cls_loss 0.5674 cls_loss_mapping 0.0028 cls_loss_causal 0.5045 re_mapping 0.0094 re_causal 0.0232 /// teacc 98.71 lr 0.00010000 Epoch 335, weight, value: tensor([[-0.0718, -0.1441, -0.0992, ..., -0.0410, 0.0613, -0.1110], [-0.0791, -0.0884, -0.0846, ..., 0.1018, -0.0350, 0.2302], [ 0.0032, -0.0260, -0.0462, ..., -0.0025, -0.0087, -0.0817], ..., [ 0.0391, -0.1133, 0.1710, ..., 0.0362, -0.1161, 0.0558], [-0.0374, 0.0602, -0.1536, ..., -0.0552, 0.0130, -0.1056], [-0.0518, 0.0845, 0.0481, ..., -0.0608, -0.0506, -0.0286]], device='cuda:0'), grad: tensor([[ 2.1648e-04, 1.8322e-04, 9.6977e-05, ..., 1.1015e-03, 5.0259e-04, 3.8218e-04], [ 3.4714e-04, 6.0463e-04, 1.0121e-04, ..., 2.5463e-03, 1.1358e-03, 6.0606e-04], [ 3.5858e-04, 3.7313e-04, 2.2852e-04, ..., -8.6823e-03, 1.5383e-03, 6.4373e-04], ..., [-2.9049e-03, 5.9414e-04, -6.8169e-03, ..., -9.1553e-03, 1.1444e-03, -3.7098e-03], [-1.1854e-03, -4.5776e-03, 1.9159e-03, ..., 8.2321e-03, 1.1854e-03, -5.3167e-04], [ 1.5650e-03, -6.3705e-04, 2.5978e-03, ..., 2.4643e-03, -1.1299e-02, 1.4515e-03]], device='cuda:0') Epoch 335, bias, value: tensor([-0.0275, 0.0417, -0.0024, -0.0077, 0.0223, -0.0290, 0.0041, 0.0030, -0.0059, -0.0171], device='cuda:0'), grad: tensor([ 0.0100, 0.0166, 0.0082, 0.0229, -0.0256, 0.0004, -0.0060, -0.0370, 0.0155, -0.0051], device='cuda:0') 100 0.0001 changing lr epoch 334, time 214.91, cls_loss 0.5139 cls_loss_mapping 0.0028 cls_loss_causal 0.4494 re_mapping 0.0097 re_causal 0.0226 /// teacc 98.81 lr 0.00010000 Epoch 336, weight, value: tensor([[-0.0728, -0.1446, -0.0996, ..., -0.0408, 0.0614, -0.1121], [-0.0798, -0.0868, -0.0844, ..., 0.1026, -0.0337, 0.2311], [ 0.0033, -0.0272, -0.0469, ..., -0.0043, -0.0089, -0.0821], ..., [ 0.0402, -0.1147, 0.1723, ..., 0.0350, -0.1142, 0.0558], [-0.0369, 0.0598, -0.1537, ..., -0.0544, 0.0118, -0.1061], [-0.0517, 0.0840, 0.0479, ..., -0.0597, -0.0500, -0.0273]], device='cuda:0'), grad: tensor([[ 1.5326e-03, -1.2177e-04, 2.5773e-04, ..., -9.2850e-03, -1.5068e-03, -7.7896e-03], [ 1.0185e-03, 2.1970e-04, 7.5531e-04, ..., 2.6855e-03, -5.1117e-03, 1.2617e-03], [ 7.0715e-04, 9.1374e-05, 1.8895e-04, ..., 2.2049e-03, 2.6941e-04, 3.2854e-04], ..., [ 5.0402e-04, -3.8576e-04, -1.3733e-03, ..., 2.7542e-03, 2.6512e-04, -1.4000e-03], [ 8.9788e-04, -7.1096e-04, -2.2564e-03, ..., -1.4496e-02, 4.6754e-04, -8.1682e-04], [ 6.9809e-04, 4.8208e-04, 1.5593e-03, ..., 3.0937e-03, 5.6791e-04, 2.0504e-03]], device='cuda:0') Epoch 336, bias, value: tensor([-0.0273, 0.0423, -0.0038, -0.0085, 0.0223, -0.0292, 0.0047, 0.0023, -0.0050, -0.0166], device='cuda:0'), grad: tensor([-0.0011, -0.0078, 0.0145, -0.0145, 0.0198, -0.0179, 0.0406, -0.0142, -0.0435, 0.0241], device='cuda:0') 100 0.0001 changing lr epoch 335, time 214.91, cls_loss 0.5407 cls_loss_mapping 0.0037 cls_loss_causal 0.4757 re_mapping 0.0093 re_causal 0.0213 /// teacc 98.73 lr 0.00010000 Epoch 337, weight, value: tensor([[-0.0735, -0.1435, -0.0995, ..., -0.0393, 0.0617, -0.1120], [-0.0798, -0.0873, -0.0836, ..., 0.1023, -0.0342, 0.2305], [ 0.0029, -0.0272, -0.0458, ..., -0.0041, -0.0094, -0.0816], ..., [ 0.0397, -0.1144, 0.1711, ..., 0.0343, -0.1162, 0.0561], [-0.0366, 0.0597, -0.1544, ..., -0.0543, 0.0118, -0.1061], [-0.0522, 0.0826, 0.0475, ..., -0.0603, -0.0488, -0.0281]], device='cuda:0'), grad: tensor([[ 1.9205e-04, 1.0529e-03, 2.8133e-04, ..., 1.8406e-03, 0.0000e+00, 1.0509e-03], [-2.1038e-03, -2.9774e-03, -1.0252e-03, ..., -4.7379e-03, 0.0000e+00, -7.4120e-03], [ 1.6406e-05, 8.4400e-04, -1.5402e-04, ..., 6.4230e-04, 0.0000e+00, 8.8310e-04], ..., [ 2.5988e-04, 2.6631e-04, -2.4235e-04, ..., 1.4772e-03, 0.0000e+00, 3.3808e-04], [ 7.1573e-04, 6.7329e-04, 4.5276e-04, ..., 1.9693e-04, 0.0000e+00, 1.7481e-03], [ 5.0211e-04, -4.1656e-03, -7.4625e-04, ..., -7.4291e-04, 0.0000e+00, 1.1559e-03]], device='cuda:0') Epoch 337, bias, value: tensor([-0.0266, 0.0420, -0.0031, -0.0079, 0.0229, -0.0292, 0.0045, 0.0014, -0.0050, -0.0175], device='cuda:0'), grad: tensor([ 0.0271, -0.0557, 0.0183, 0.0192, 0.0188, 0.0231, -0.0425, 0.0221, -0.0057, -0.0247], device='cuda:0') 100 0.0001 changing lr epoch 336, time 215.02, cls_loss 0.5653 cls_loss_mapping 0.0032 cls_loss_causal 0.4932 re_mapping 0.0093 re_causal 0.0217 /// teacc 98.83 lr 0.00010000 Epoch 338, weight, value: tensor([[-0.0737, -0.1444, -0.0995, ..., -0.0374, 0.0610, -0.1110], [-0.0804, -0.0888, -0.0838, ..., 0.1021, -0.0340, 0.2310], [ 0.0022, -0.0277, -0.0466, ..., -0.0038, -0.0099, -0.0814], ..., [ 0.0397, -0.1138, 0.1706, ..., 0.0340, -0.1173, 0.0562], [-0.0354, 0.0589, -0.1547, ..., -0.0560, 0.0130, -0.1064], [-0.0534, 0.0823, 0.0488, ..., -0.0600, -0.0483, -0.0291]], device='cuda:0'), grad: tensor([[ 6.9384e-07, 5.8556e-04, 5.1141e-05, ..., -2.9564e-03, -2.8934e-03, 4.6566e-06], [ 4.2655e-06, 4.2510e-04, 7.0095e-05, ..., 8.1396e-04, 3.5405e-05, 1.6916e-04], [ 4.1351e-06, 2.9221e-03, 4.2272e-04, ..., 2.3460e-03, 4.4048e-05, 3.2753e-05], ..., [-5.2899e-05, 2.5225e-04, -2.2972e-04, ..., 6.6566e-04, 1.2018e-05, -6.1893e-04], [ 4.2170e-06, 6.7902e-04, 5.3704e-05, ..., 9.6512e-04, 4.9531e-05, 1.5631e-05], [ 3.2902e-05, 6.5565e-04, 1.8167e-04, ..., 1.1969e-03, 8.6427e-05, 3.6097e-04]], device='cuda:0') Epoch 338, bias, value: tensor([-0.0256, 0.0414, -0.0035, -0.0075, 0.0235, -0.0301, 0.0046, 0.0010, -0.0057, -0.0166], device='cuda:0'), grad: tensor([-0.0230, 0.0062, 0.0118, 0.0023, 0.0122, -0.0285, -0.0005, 0.0049, 0.0069, 0.0078], device='cuda:0') 100 0.0001 changing lr epoch 337, time 214.78, cls_loss 0.5079 cls_loss_mapping 0.0039 cls_loss_causal 0.4341 re_mapping 0.0097 re_causal 0.0211 /// teacc 98.84 lr 0.00010000 Epoch 339, weight, value: tensor([[-0.0734, -0.1434, -0.1004, ..., -0.0378, 0.0611, -0.1102], [-0.0803, -0.0875, -0.0832, ..., 0.1015, -0.0347, 0.2303], [ 0.0028, -0.0275, -0.0468, ..., -0.0038, -0.0096, -0.0825], ..., [ 0.0387, -0.1161, 0.1703, ..., 0.0348, -0.1183, 0.0562], [-0.0353, 0.0598, -0.1546, ..., -0.0549, 0.0133, -0.1041], [-0.0540, 0.0810, 0.0484, ..., -0.0597, -0.0483, -0.0293]], device='cuda:0'), grad: tensor([[ 6.6376e-04, 3.3545e-04, -1.9670e-04, ..., -3.6955e-04, 5.6553e-04, -1.3733e-04], [-2.0409e-03, -2.8419e-04, 3.0756e-04, ..., -4.3793e-03, -3.8300e-03, 2.1343e-03], [-6.4316e-03, 2.1279e-04, -2.3410e-05, ..., -9.3651e-04, 1.5521e-04, 2.5916e-04], ..., [ 1.1988e-03, -1.4067e-03, -3.3379e-03, ..., -2.0142e-03, 2.4080e-04, -2.1935e-03], [ 1.6041e-03, 4.7493e-03, 4.8661e-04, ..., -2.0838e-04, 3.3450e-04, -3.0174e-03], [ 1.2131e-03, 1.0214e-03, 9.2745e-04, ..., 2.5654e-03, 8.8596e-04, 9.2363e-04]], device='cuda:0') Epoch 339, bias, value: tensor([-0.0254, 0.0413, -0.0035, -0.0071, 0.0235, -0.0311, 0.0051, 0.0008, -0.0052, -0.0170], device='cuda:0'), grad: tensor([-0.0072, -0.0313, -0.0401, 0.0317, 0.0219, 0.0154, -0.0018, -0.0119, -0.0133, 0.0367], device='cuda:0') 100 0.0001 changing lr epoch 338, time 214.28, cls_loss 0.5148 cls_loss_mapping 0.0028 cls_loss_causal 0.4615 re_mapping 0.0093 re_causal 0.0208 /// teacc 98.71 lr 0.00010000 Epoch 340, weight, value: tensor([[-0.0739, -0.1426, -0.1004, ..., -0.0370, 0.0600, -0.1093], [-0.0799, -0.0880, -0.0839, ..., 0.1009, -0.0352, 0.2298], [ 0.0037, -0.0272, -0.0467, ..., -0.0032, -0.0094, -0.0832], ..., [ 0.0390, -0.1165, 0.1705, ..., 0.0360, -0.1188, 0.0563], [-0.0363, 0.0600, -0.1554, ..., -0.0552, 0.0126, -0.1051], [-0.0546, 0.0815, 0.0484, ..., -0.0600, -0.0484, -0.0289]], device='cuda:0'), grad: tensor([[ 1.4687e-04, 2.5272e-04, 1.8626e-06, ..., 9.9957e-05, -9.9945e-04, 3.9840e-04], [ 2.4110e-05, -3.7346e-03, 6.0529e-05, ..., 5.7173e-04, 1.5259e-04, -4.2319e-04], [-1.9875e-03, 8.8739e-04, 1.8910e-05, ..., 1.0357e-03, 1.0026e-04, -3.2883e-03], ..., [ 1.3304e-03, -3.7766e-04, -3.7231e-03, ..., 3.2854e-04, 1.1718e-04, 5.5552e-04], [ 7.8157e-06, 3.8910e-03, 1.3292e-05, ..., -8.9502e-04, 1.1039e-04, -5.7602e-04], [ 3.7050e-04, -4.6387e-03, 3.3092e-03, ..., -2.7466e-03, 1.1444e-04, 1.6069e-03]], device='cuda:0') Epoch 340, bias, value: tensor([-0.0256, 0.0405, -0.0033, -0.0062, 0.0241, -0.0311, 0.0046, 0.0011, -0.0050, -0.0176], device='cuda:0'), grad: tensor([-0.0163, -0.0209, -0.0117, -0.0120, 0.0013, 0.0147, 0.0193, 0.0304, -0.0041, -0.0009], device='cuda:0') 100 0.0001 changing lr epoch 339, time 214.98, cls_loss 0.5295 cls_loss_mapping 0.0027 cls_loss_causal 0.4647 re_mapping 0.0093 re_causal 0.0212 /// teacc 98.74 lr 0.00010000 Epoch 341, weight, value: tensor([[-0.0749, -0.1456, -0.1015, ..., -0.0374, 0.0605, -0.1082], [-0.0799, -0.0879, -0.0852, ..., 0.1005, -0.0350, 0.2295], [ 0.0040, -0.0267, -0.0468, ..., -0.0036, -0.0087, -0.0839], ..., [ 0.0394, -0.1168, 0.1718, ..., 0.0371, -0.1184, 0.0572], [-0.0376, 0.0598, -0.1560, ..., -0.0554, 0.0119, -0.1050], [-0.0546, 0.0816, 0.0485, ..., -0.0597, -0.0479, -0.0290]], device='cuda:0'), grad: tensor([[ 1.3552e-03, -1.9002e-04, 2.3139e-04, ..., -9.0075e-04, 1.4210e-04, -1.2531e-03], [ 4.6897e-04, 5.7650e-04, 3.6031e-05, ..., 1.1082e-03, 5.3011e-06, 3.9601e-04], [-3.4103e-03, -5.6152e-03, 9.6917e-05, ..., -3.3627e-03, -4.6692e-03, 3.1281e-04], ..., [-1.6174e-03, 4.3941e-04, 1.4746e-04, ..., -2.1591e-03, 4.6015e-05, 4.6086e-04], [ 2.7237e-03, -3.7932e-04, 2.2340e-04, ..., 1.9217e-03, 3.3836e-03, -1.2560e-03], [ 1.8244e-03, 1.1072e-03, 1.7524e-04, ..., 2.2621e-03, 1.4126e-04, 2.6321e-04]], device='cuda:0') Epoch 341, bias, value: tensor([-0.0251, 0.0400, -0.0021, -0.0071, 0.0230, -0.0307, 0.0037, 0.0019, -0.0055, -0.0168], device='cuda:0'), grad: tensor([-0.0198, 0.0145, -0.0195, 0.0180, -0.0187, 0.0183, 0.0139, -0.0192, -0.0035, 0.0161], device='cuda:0') 100 0.0001 changing lr epoch 340, time 214.81, cls_loss 0.5180 cls_loss_mapping 0.0023 cls_loss_causal 0.4561 re_mapping 0.0094 re_causal 0.0217 /// teacc 98.78 lr 0.00010000 Epoch 342, weight, value: tensor([[-0.0776, -0.1459, -0.1018, ..., -0.0380, 0.0606, -0.1085], [-0.0790, -0.0888, -0.0857, ..., 0.0994, -0.0346, 0.2292], [ 0.0049, -0.0260, -0.0476, ..., -0.0038, -0.0091, -0.0849], ..., [ 0.0395, -0.1176, 0.1723, ..., 0.0380, -0.1191, 0.0579], [-0.0369, 0.0586, -0.1562, ..., -0.0555, 0.0113, -0.1054], [-0.0550, 0.0820, 0.0493, ..., -0.0591, -0.0481, -0.0295]], device='cuda:0'), grad: tensor([[ 6.7987e-07, 3.4356e-04, 1.1599e-04, ..., 1.6584e-03, 1.3439e-06, 6.2943e-04], [ 2.4736e-06, 6.5279e-04, 3.4142e-04, ..., 1.4772e-03, 2.4159e-06, 4.0603e-04], [ 1.9878e-05, -3.8624e-03, -3.1776e-03, ..., -2.1000e-03, 1.6659e-05, -1.4172e-03], ..., [-2.1055e-05, 6.3562e-04, 3.5787e-04, ..., 2.6646e-03, 6.0238e-06, 8.7738e-04], [ 3.5111e-06, -1.1311e-03, 5.7077e-04, ..., 2.5272e-03, 2.8685e-05, 9.6369e-04], [ 7.4469e-06, 4.2582e-04, 1.8740e-04, ..., 2.8439e-03, 2.8074e-05, 2.1000e-03]], device='cuda:0') Epoch 342, bias, value: tensor([-0.0258, 0.0397, -0.0017, -0.0068, 0.0231, -0.0313, 0.0043, 0.0028, -0.0060, -0.0169], device='cuda:0'), grad: tensor([ 0.0127, 0.0161, -0.0118, -0.0114, -0.0429, 0.0187, -0.0069, 0.0199, -0.0111, 0.0166], device='cuda:0') 100 0.0001 changing lr epoch 341, time 214.97, cls_loss 0.5165 cls_loss_mapping 0.0042 cls_loss_causal 0.4608 re_mapping 0.0092 re_causal 0.0207 /// teacc 98.85 lr 0.00010000 Epoch 343, weight, value: tensor([[-0.0782, -0.1465, -0.1015, ..., -0.0382, 0.0605, -0.1103], [-0.0778, -0.0885, -0.0863, ..., 0.1006, -0.0338, 0.2305], [ 0.0035, -0.0253, -0.0481, ..., -0.0034, -0.0079, -0.0844], ..., [ 0.0399, -0.1180, 0.1712, ..., 0.0377, -0.1193, 0.0564], [-0.0361, 0.0585, -0.1549, ..., -0.0562, 0.0126, -0.1050], [-0.0552, 0.0818, 0.0501, ..., -0.0582, -0.0483, -0.0289]], device='cuda:0'), grad: tensor([[ 3.3355e-04, 8.3726e-07, 1.4462e-05, ..., 2.2068e-03, 3.0947e-04, 1.5378e-04], [ 7.7581e-04, 2.9132e-06, 1.0538e-03, ..., -9.2220e-04, 6.4325e-04, 6.4945e-04], [-4.5252e-04, -4.5824e-04, -4.7684e-04, ..., 1.6699e-03, 4.3082e-04, -2.7895e-04], ..., [ 8.2874e-04, 5.7705e-06, -8.0967e-04, ..., -6.0129e-04, 4.3559e-04, -1.3266e-03], [ 4.4942e-04, 6.5207e-05, 3.2604e-05, ..., -1.0138e-03, 3.9339e-04, 1.0669e-04], [ 5.0354e-04, 2.0079e-06, 9.7752e-05, ..., -3.6964e-03, 4.8018e-04, 2.8896e-04]], device='cuda:0') Epoch 343, bias, value: tensor([-2.6358e-02, 4.0076e-02, -5.1674e-05, -7.1641e-03, 2.4269e-02, -3.0877e-02, 2.8620e-03, 1.1799e-03, -5.6565e-03, -1.6877e-02], device='cuda:0'), grad: tensor([ 0.0172, -0.0038, 0.0163, 0.0171, 0.0179, 0.0142, -0.0155, -0.0039, -0.0157, -0.0439], device='cuda:0') 100 0.0001 changing lr epoch 342, time 215.22, cls_loss 0.5221 cls_loss_mapping 0.0037 cls_loss_causal 0.4497 re_mapping 0.0095 re_causal 0.0214 /// teacc 98.82 lr 0.00010000 Epoch 344, weight, value: tensor([[-0.0754, -0.1475, -0.1003, ..., -0.0369, 0.0602, -0.1095], [-0.0769, -0.0889, -0.0870, ..., 0.0998, -0.0339, 0.2302], [ 0.0018, -0.0252, -0.0485, ..., -0.0026, -0.0096, -0.0827], ..., [ 0.0398, -0.1179, 0.1711, ..., 0.0375, -0.1175, 0.0561], [-0.0349, 0.0590, -0.1556, ..., -0.0570, 0.0122, -0.1058], [-0.0558, 0.0820, 0.0502, ..., -0.0587, -0.0493, -0.0294]], device='cuda:0'), grad: tensor([[ 5.4568e-05, 1.5688e-04, 4.2349e-05, ..., 3.5610e-03, 2.6112e-03, 1.1406e-03], [ 1.8282e-03, 5.0688e-04, 8.6355e-04, ..., 5.7793e-03, 4.5681e-04, 2.9964e-03], [-2.6779e-03, 3.6025e-04, 5.9414e-04, ..., -1.7807e-02, 1.4400e-04, -5.0163e-03], ..., [ 3.2783e-04, 2.8110e-04, 8.6641e-04, ..., 5.4779e-03, 8.8644e-04, 2.1992e-03], [-8.7857e-05, 1.6737e-03, -1.1444e-03, ..., 4.0436e-03, 1.1826e-03, 7.2813e-04], [ 1.7440e-04, 2.6298e-04, -1.7099e-03, ..., 2.6321e-03, -6.6223e-03, -7.4196e-04]], device='cuda:0') Epoch 344, bias, value: tensor([-0.0258, 0.0401, 0.0003, -0.0071, 0.0240, -0.0313, 0.0032, 0.0018, -0.0060, -0.0178], device='cuda:0'), grad: tensor([ 0.0231, 0.0243, -0.0743, 0.0176, -0.0284, 0.0248, -0.0210, 0.0326, 0.0109, -0.0096], device='cuda:0') 100 0.0001 changing lr epoch 343, time 214.68, cls_loss 0.5410 cls_loss_mapping 0.0029 cls_loss_causal 0.4837 re_mapping 0.0094 re_causal 0.0215 /// teacc 98.63 lr 0.00010000 Epoch 345, weight, value: tensor([[-0.0760, -0.1476, -0.1014, ..., -0.0361, 0.0612, -0.1094], [-0.0767, -0.0892, -0.0870, ..., 0.1003, -0.0323, 0.2312], [ 0.0020, -0.0252, -0.0485, ..., -0.0027, -0.0111, -0.0816], ..., [ 0.0396, -0.1179, 0.1714, ..., 0.0369, -0.1182, 0.0552], [-0.0344, 0.0591, -0.1539, ..., -0.0560, 0.0129, -0.1066], [-0.0558, 0.0802, 0.0499, ..., -0.0599, -0.0495, -0.0299]], device='cuda:0'), grad: tensor([[ 3.3993e-06, 2.3693e-05, 4.4179e-04, ..., -1.0004e-03, 2.3861e-03, 5.2681e-03], [ 7.5758e-05, 2.9162e-05, 2.4068e-04, ..., 5.1074e-06, -1.7378e-06, -4.6706e-04], [ 1.5235e-04, 4.4316e-05, 2.5153e-04, ..., -4.6760e-05, 7.3862e-04, -1.1444e-03], ..., [ 5.2810e-05, -3.4761e-04, -2.4223e-03, ..., -2.5826e-03, -8.0490e-03, -1.1589e-02], [-4.9770e-06, 3.4660e-05, 1.8883e-04, ..., 8.6355e-04, -2.7433e-05, 1.1778e-03], [ 2.3440e-05, -1.1317e-05, 2.5535e-04, ..., 1.1015e-03, 9.5987e-04, 1.5554e-03]], device='cuda:0') Epoch 345, bias, value: tensor([-2.6289e-02, 4.0450e-02, -4.1657e-05, -6.4780e-03, 2.4713e-02, -3.1340e-02, 2.4803e-03, 8.1632e-04, -5.6647e-03, -1.7279e-02], device='cuda:0'), grad: tensor([-0.0060, -0.0065, -0.0106, 0.0184, 0.0300, 0.0157, 0.0164, -0.0336, -0.0457, 0.0220], device='cuda:0') 100 0.0001 changing lr epoch 344, time 214.98, cls_loss 0.5749 cls_loss_mapping 0.0030 cls_loss_causal 0.5074 re_mapping 0.0090 re_causal 0.0211 /// teacc 98.75 lr 0.00010000 Epoch 346, weight, value: tensor([[-0.0757, -0.1462, -0.1025, ..., -0.0359, 0.0586, -0.1098], [-0.0771, -0.0894, -0.0867, ..., 0.0993, -0.0323, 0.2324], [ 0.0028, -0.0253, -0.0489, ..., -0.0031, -0.0135, -0.0820], ..., [ 0.0397, -0.1181, 0.1720, ..., 0.0372, -0.1198, 0.0568], [-0.0351, 0.0584, -0.1550, ..., -0.0557, 0.0129, -0.1087], [-0.0558, 0.0801, 0.0482, ..., -0.0594, -0.0495, -0.0307]], device='cuda:0'), grad: tensor([[ 0.0009, 0.0008, 0.0004, ..., -0.0016, 0.0005, 0.0003], [ 0.0015, -0.0014, -0.0017, ..., -0.0014, -0.0011, -0.0015], [ 0.0013, 0.0015, 0.0006, ..., 0.0020, 0.0008, 0.0005], ..., [-0.0042, -0.0001, -0.0025, ..., -0.0074, -0.0026, -0.0021], [ 0.0010, -0.0372, 0.0003, ..., 0.0014, 0.0011, 0.0004], [-0.0050, 0.0167, 0.0005, ..., -0.0002, -0.0013, 0.0005]], device='cuda:0') Epoch 346, bias, value: tensor([-0.0259, 0.0406, -0.0004, -0.0059, 0.0250, -0.0315, 0.0021, 0.0001, -0.0059, -0.0168], device='cuda:0'), grad: tensor([-0.0168, -0.0181, 0.0196, 0.0246, 0.0189, 0.0274, 0.0097, -0.0374, -0.0357, 0.0078], device='cuda:0') 100 0.0001 changing lr epoch 345, time 215.05, cls_loss 0.5015 cls_loss_mapping 0.0017 cls_loss_causal 0.4328 re_mapping 0.0095 re_causal 0.0222 /// teacc 98.82 lr 0.00010000 Epoch 347, weight, value: tensor([[-0.0757, -0.1465, -0.1019, ..., -0.0356, 0.0591, -0.1087], [-0.0756, -0.0893, -0.0854, ..., 0.0997, -0.0320, 0.2346], [ 0.0016, -0.0236, -0.0500, ..., -0.0036, -0.0140, -0.0832], ..., [ 0.0380, -0.1184, 0.1726, ..., 0.0377, -0.1198, 0.0565], [-0.0345, 0.0583, -0.1552, ..., -0.0560, 0.0125, -0.1102], [-0.0562, 0.0804, 0.0478, ..., -0.0605, -0.0501, -0.0317]], device='cuda:0'), grad: tensor([[ 1.2422e-04, 2.2316e-04, 1.8254e-07, ..., 1.0233e-03, 1.5807e-04, 6.8331e-04], [ 3.2187e-05, 5.2214e-05, 1.0425e-04, ..., 1.8530e-03, 2.1189e-05, 1.5974e-03], [ 1.5879e-04, 7.4005e-04, 6.0424e-06, ..., 1.2856e-03, 2.1815e-04, 6.3515e-04], ..., [-9.1887e-04, -1.6117e-03, -2.0242e-04, ..., 1.3285e-03, -1.1663e-03, 4.9829e-04], [ 8.3566e-05, 1.5891e-04, 3.8259e-06, ..., 9.8705e-04, 9.7394e-05, 7.6771e-04], [ 1.8513e-04, 7.1907e-03, 7.4685e-05, ..., 8.7881e-04, 2.4188e-04, 2.5249e-04]], device='cuda:0') Epoch 347, bias, value: tensor([-0.0257, 0.0417, -0.0012, -0.0060, 0.0238, -0.0311, 0.0036, -0.0003, -0.0062, -0.0170], device='cuda:0'), grad: tensor([ 0.0151, -0.0068, -0.0115, -0.0154, -0.0117, -0.0181, -0.0137, 0.0044, 0.0152, 0.0425], device='cuda:0') 100 0.0001 changing lr epoch 346, time 214.51, cls_loss 0.5516 cls_loss_mapping 0.0035 cls_loss_causal 0.4983 re_mapping 0.0089 re_causal 0.0209 /// teacc 98.88 lr 0.00010000 Epoch 348, weight, value: tensor([[-0.0754, -0.1462, -0.1021, ..., -0.0358, 0.0594, -0.1076], [-0.0765, -0.0892, -0.0857, ..., 0.0993, -0.0322, 0.2338], [ 0.0027, -0.0228, -0.0486, ..., -0.0041, -0.0157, -0.0833], ..., [ 0.0393, -0.1183, 0.1726, ..., 0.0387, -0.1209, 0.0575], [-0.0336, 0.0581, -0.1542, ..., -0.0571, 0.0146, -0.1103], [-0.0566, 0.0804, 0.0482, ..., -0.0602, -0.0503, -0.0323]], device='cuda:0'), grad: tensor([[ 1.5986e-04, 8.3633e-07, 1.8731e-05, ..., 1.6189e-04, 1.9386e-05, 5.0992e-05], [ 1.1230e-04, 8.9686e-07, 1.4044e-05, ..., -7.3433e-05, 6.6012e-06, -3.6144e-04], [ 2.5272e-04, 4.4823e-05, 8.8930e-05, ..., 1.9169e-04, 1.8934e-06, 1.5008e-04], ..., [ 1.7822e-04, 2.9922e-04, -8.4925e-04, ..., 7.3624e-04, 1.8016e-05, -3.1815e-03], [-2.9507e-03, 5.2214e-05, -2.4915e-04, ..., -1.6060e-03, 4.3921e-06, 9.0599e-05], [ 1.8919e-04, -5.1880e-04, 9.6607e-04, ..., -1.2360e-03, -9.2387e-06, 3.1376e-03]], device='cuda:0') Epoch 348, bias, value: tensor([-0.0254, 0.0412, -0.0021, -0.0052, 0.0236, -0.0305, 0.0025, 0.0008, -0.0061, -0.0174], device='cuda:0'), grad: tensor([ 0.0359, 0.0067, 0.0109, 0.0063, -0.0179, 0.0176, 0.0125, -0.0194, -0.0234, -0.0293], device='cuda:0') 100 0.0001 changing lr epoch 347, time 214.64, cls_loss 0.5238 cls_loss_mapping 0.0039 cls_loss_causal 0.4550 re_mapping 0.0089 re_causal 0.0200 /// teacc 98.91 lr 0.00010000 Epoch 349, weight, value: tensor([[-0.0745, -0.1460, -0.1033, ..., -0.0367, 0.0567, -0.1079], [-0.0772, -0.0893, -0.0863, ..., 0.0997, -0.0320, 0.2337], [ 0.0026, -0.0227, -0.0483, ..., -0.0037, -0.0125, -0.0841], ..., [ 0.0402, -0.1181, 0.1728, ..., 0.0385, -0.1200, 0.0586], [-0.0344, 0.0583, -0.1541, ..., -0.0572, 0.0142, -0.1099], [-0.0566, 0.0804, 0.0481, ..., -0.0595, -0.0505, -0.0323]], device='cuda:0'), grad: tensor([[-1.2970e-03, 3.8743e-04, 4.2653e-04, ..., -3.2578e-03, 1.1635e-04, -1.0166e-03], [ 1.2517e-04, 2.5558e-04, 1.5557e-04, ..., 8.3590e-04, 4.1798e-06, 6.4802e-04], [-1.0471e-03, -1.1215e-03, -1.7366e-03, ..., -1.6603e-03, -5.1928e-04, -5.1165e-04], ..., [ 1.7560e-04, 2.5702e-04, 7.0453e-05, ..., -6.8331e-04, 5.9903e-05, -1.6041e-03], [ 8.9407e-04, -6.4945e-04, 5.7650e-04, ..., 1.5144e-03, 1.3717e-05, 1.1511e-03], [ 2.4021e-04, -9.2149e-05, 1.4365e-04, ..., 7.6199e-04, 7.5638e-05, 7.9966e-04]], device='cuda:0') Epoch 349, bias, value: tensor([-0.0255, 0.0404, -0.0014, -0.0050, 0.0232, -0.0309, 0.0029, -0.0002, -0.0060, -0.0162], device='cuda:0'), grad: tensor([-0.0388, 0.0069, -0.0031, 0.0048, 0.0028, 0.0052, 0.0034, 0.0038, 0.0098, 0.0052], device='cuda:0') 100 0.0001 changing lr epoch 348, time 214.61, cls_loss 0.5689 cls_loss_mapping 0.0050 cls_loss_causal 0.5020 re_mapping 0.0092 re_causal 0.0220 /// teacc 98.90 lr 0.00010000 Epoch 350, weight, value: tensor([[-0.0739, -0.1461, -0.1028, ..., -0.0371, 0.0571, -0.1076], [-0.0774, -0.0887, -0.0858, ..., 0.1004, -0.0324, 0.2334], [ 0.0008, -0.0238, -0.0493, ..., -0.0042, -0.0132, -0.0861], ..., [ 0.0399, -0.1180, 0.1740, ..., 0.0387, -0.1191, 0.0591], [-0.0340, 0.0582, -0.1555, ..., -0.0569, 0.0145, -0.1087], [-0.0569, 0.0809, 0.0481, ..., -0.0597, -0.0506, -0.0323]], device='cuda:0'), grad: tensor([[-9.5987e-04, 9.1255e-05, 2.4295e-04, ..., -1.3351e-05, 2.7204e-04, -9.9599e-05], [ 6.6683e-06, 2.9534e-05, 3.5954e-04, ..., 3.6545e-03, 2.7680e-04, 1.0118e-03], [ 2.3162e-04, 2.5344e-04, 1.8797e-03, ..., 4.5280e-03, 3.8171e-04, 1.7157e-03], ..., [-1.4794e-04, 4.2289e-05, 1.6260e-03, ..., -1.1200e-02, 2.8348e-04, -1.4277e-03], [-4.1723e-05, 4.1342e-04, 6.6710e-04, ..., 2.6569e-03, 2.7370e-04, 7.5388e-04], [ 2.5821e-04, 1.5569e-04, 6.9284e-04, ..., 5.8842e-04, 4.4703e-04, 2.1231e-04]], device='cuda:0') Epoch 350, bias, value: tensor([-0.0258, 0.0409, -0.0011, -0.0058, 0.0241, -0.0302, 0.0034, -0.0007, -0.0068, -0.0166], device='cuda:0'), grad: tensor([-0.0124, 0.0334, 0.0285, 0.0085, -0.0039, -0.0285, -0.0031, -0.0391, 0.0234, -0.0067], device='cuda:0') 100 0.0001 changing lr epoch 349, time 214.74, cls_loss 0.5081 cls_loss_mapping 0.0031 cls_loss_causal 0.4535 re_mapping 0.0090 re_causal 0.0212 /// teacc 98.95 lr 0.00010000 Epoch 351, weight, value: tensor([[-0.0750, -0.1465, -0.1031, ..., -0.0388, 0.0571, -0.1095], [-0.0763, -0.0882, -0.0860, ..., 0.1018, -0.0332, 0.2328], [-0.0007, -0.0246, -0.0505, ..., -0.0050, -0.0147, -0.0854], ..., [ 0.0407, -0.1188, 0.1763, ..., 0.0396, -0.1169, 0.0599], [-0.0339, 0.0593, -0.1551, ..., -0.0569, 0.0161, -0.1089], [-0.0575, 0.0807, 0.0474, ..., -0.0593, -0.0521, -0.0328]], device='cuda:0'), grad: tensor([[ 5.0354e-04, 7.6473e-05, 2.0540e-04, ..., 7.5340e-04, 3.3975e-06, 9.8884e-05], [ 2.0103e-03, 1.3418e-03, 3.3712e-04, ..., 4.1962e-03, 1.5562e-06, 2.7633e-04], [ 1.5383e-03, 1.2659e-05, 3.8576e-04, ..., 1.1759e-03, -1.5950e-04, 4.5943e-04], ..., [-2.5272e-04, 2.4848e-06, -1.4076e-02, ..., 1.2417e-03, 1.3733e-04, -3.1376e-04], [-1.1200e-02, -1.8635e-03, 1.5297e-03, ..., -3.2635e-03, 1.3694e-05, 1.9574e-04], [ 1.4963e-03, 6.0201e-06, 1.7376e-03, ..., -5.3520e-03, 2.3469e-06, -3.7408e-04]], device='cuda:0') Epoch 351, bias, value: tensor([-0.0266, 0.0409, -0.0019, -0.0062, 0.0243, -0.0303, 0.0028, 0.0004, -0.0059, -0.0161], device='cuda:0'), grad: tensor([ 0.0072, 0.0229, 0.0084, 0.0608, -0.0155, 0.0210, 0.0130, -0.0392, -0.0278, -0.0508], device='cuda:0') 100 0.0001 changing lr epoch 350, time 214.79, cls_loss 0.4999 cls_loss_mapping 0.0038 cls_loss_causal 0.4463 re_mapping 0.0087 re_causal 0.0197 /// teacc 98.80 lr 0.00010000 Epoch 352, weight, value: tensor([[-0.0754, -0.1466, -0.1032, ..., -0.0379, 0.0566, -0.1074], [-0.0762, -0.0884, -0.0855, ..., 0.1022, -0.0331, 0.2317], [-0.0004, -0.0259, -0.0507, ..., -0.0054, -0.0132, -0.0844], ..., [ 0.0412, -0.1205, 0.1756, ..., 0.0389, -0.1177, 0.0609], [-0.0331, 0.0597, -0.1556, ..., -0.0570, 0.0165, -0.1096], [-0.0575, 0.0811, 0.0481, ..., -0.0594, -0.0528, -0.0334]], device='cuda:0'), grad: tensor([[ 0.0002, 0.0007, 0.0010, ..., 0.0020, 0.0004, 0.0008], [ 0.0006, -0.0012, -0.0033, ..., -0.0013, 0.0010, -0.0022], [ 0.0015, 0.0072, 0.0064, ..., 0.0102, 0.0035, 0.0043], ..., [ 0.0008, 0.0017, -0.0058, ..., 0.0009, 0.0023, 0.0035], [-0.0014, 0.0004, 0.0014, ..., -0.0023, 0.0006, 0.0010], [ 0.0003, 0.0013, 0.0025, ..., 0.0032, 0.0014, 0.0021]], device='cuda:0') Epoch 352, bias, value: tensor([-0.0266, 0.0400, -0.0009, -0.0063, 0.0233, -0.0289, 0.0018, 0.0017, -0.0063, -0.0164], device='cuda:0'), grad: tensor([ 0.0157, -0.0096, 0.0570, -0.0846, -0.0362, 0.0421, 0.0139, -0.0097, -0.0127, 0.0241], device='cuda:0') 100 0.0001 changing lr epoch 351, time 214.56, cls_loss 0.5453 cls_loss_mapping 0.0031 cls_loss_causal 0.4725 re_mapping 0.0089 re_causal 0.0204 /// teacc 98.80 lr 0.00010000 Epoch 353, weight, value: tensor([[-0.0756, -0.1456, -0.1027, ..., -0.0369, 0.0579, -0.1064], [-0.0763, -0.0876, -0.0867, ..., 0.1023, -0.0334, 0.2328], [ 0.0008, -0.0261, -0.0518, ..., -0.0054, -0.0142, -0.0852], ..., [ 0.0417, -0.1208, 0.1759, ..., 0.0372, -0.1195, 0.0608], [-0.0319, 0.0610, -0.1560, ..., -0.0577, 0.0174, -0.1109], [-0.0574, 0.0808, 0.0483, ..., -0.0602, -0.0541, -0.0337]], device='cuda:0'), grad: tensor([[ 5.3942e-05, -5.5641e-05, -4.0698e-04, ..., -1.6296e-02, -9.7132e-04, -1.9470e-02], [ 1.0490e-04, 1.6257e-05, -1.5459e-03, ..., 3.4428e-03, -1.8044e-03, 9.6283e-03], [ 2.8849e-05, 4.3297e-04, 3.4046e-04, ..., 1.0614e-03, 3.9220e-04, 1.6212e-03], ..., [-4.4560e-04, -2.5368e-03, 2.8300e-04, ..., 2.0447e-03, 6.4421e-04, -5.5695e-03], [ 1.2481e-04, 6.8188e-05, 1.8239e-04, ..., 8.1587e-04, 2.1625e-04, 8.6403e-04], [ 5.1737e-05, 1.7681e-03, 4.9019e-04, ..., 1.2426e-03, 3.3212e-04, 5.8289e-03]], device='cuda:0') Epoch 353, bias, value: tensor([-0.0259, 0.0409, -0.0012, -0.0066, 0.0224, -0.0289, 0.0027, 0.0016, -0.0067, -0.0169], device='cuda:0'), grad: tensor([-0.0426, -0.0475, -0.0047, 0.0222, 0.0257, 0.0235, -0.0072, -0.0298, 0.0207, 0.0397], device='cuda:0') 100 0.0001 changing lr epoch 352, time 214.38, cls_loss 0.5440 cls_loss_mapping 0.0033 cls_loss_causal 0.4797 re_mapping 0.0086 re_causal 0.0207 /// teacc 98.93 lr 0.00010000 Epoch 354, weight, value: tensor([[-0.0740, -0.1461, -0.1028, ..., -0.0371, 0.0587, -0.1057], [-0.0775, -0.0875, -0.0867, ..., 0.1020, -0.0323, 0.2317], [ 0.0020, -0.0254, -0.0522, ..., -0.0049, -0.0142, -0.0830], ..., [ 0.0408, -0.1219, 0.1758, ..., 0.0375, -0.1216, 0.0612], [-0.0329, 0.0613, -0.1544, ..., -0.0577, 0.0167, -0.1130], [-0.0562, 0.0796, 0.0481, ..., -0.0594, -0.0536, -0.0333]], device='cuda:0'), grad: tensor([[-1.1053e-03, -1.9684e-03, 1.6853e-05, ..., -1.6584e-03, 5.5122e-04, -6.8569e-04], [ 3.2501e-03, 5.7727e-05, 4.9286e-06, ..., -1.8597e-03, 7.7772e-04, 1.8692e-04], [ 1.6375e-03, 4.7952e-05, 3.3116e-04, ..., 4.9896e-03, 2.0676e-03, -2.8229e-04], ..., [ 4.9829e-04, 5.0116e-04, -5.5790e-04, ..., 2.4204e-03, 3.9101e-04, 2.3346e-03], [-7.0305e-03, 8.2970e-04, 2.8878e-05, ..., -5.9509e-03, 2.9111e-04, 1.1644e-03], [ 4.8137e-04, -1.0557e-03, 1.0186e-04, ..., -2.4490e-03, -6.0539e-03, -6.8092e-03]], device='cuda:0') Epoch 354, bias, value: tensor([-0.0266, 0.0416, -0.0010, -0.0078, 0.0225, -0.0297, 0.0033, 0.0014, -0.0078, -0.0145], device='cuda:0'), grad: tensor([ 0.0016, 0.0317, 0.0341, 0.0168, 0.0184, 0.0108, -0.0134, -0.0090, -0.0568, -0.0342], device='cuda:0') 100 0.0001 changing lr epoch 353, time 215.01, cls_loss 0.5350 cls_loss_mapping 0.0036 cls_loss_causal 0.4688 re_mapping 0.0085 re_causal 0.0205 /// teacc 98.87 lr 0.00010000 Epoch 355, weight, value: tensor([[-0.0723, -0.1460, -0.1024, ..., -0.0363, 0.0589, -0.1057], [-0.0780, -0.0869, -0.0873, ..., 0.1017, -0.0354, 0.2330], [ 0.0027, -0.0257, -0.0523, ..., -0.0054, -0.0132, -0.0820], ..., [ 0.0415, -0.1221, 0.1752, ..., 0.0378, -0.1235, 0.0618], [-0.0335, 0.0620, -0.1531, ..., -0.0584, 0.0172, -0.1132], [-0.0576, 0.0795, 0.0472, ..., -0.0593, -0.0528, -0.0342]], device='cuda:0'), grad: tensor([[ 8.3819e-08, 8.6799e-06, 2.9188e-06, ..., -4.7569e-03, -1.5221e-03, -4.3259e-03], [ 1.3635e-06, 5.3346e-06, 4.9435e-06, ..., 7.2861e-04, 4.2915e-04, 6.9332e-04], [ 1.5553e-06, -4.8220e-05, 2.3887e-05, ..., 1.1101e-03, 4.7493e-04, 1.2741e-03], ..., [-1.1280e-05, 7.5735e-06, -1.0654e-06, ..., 8.1015e-04, 3.6192e-04, 7.9679e-04], [ 1.3411e-07, -1.5132e-05, 4.6998e-05, ..., 3.8195e-04, 2.1780e-04, 3.9220e-04], [ 7.5586e-06, 4.8168e-06, 1.0297e-05, ..., 3.9601e-04, 1.8740e-04, 4.0698e-04]], device='cuda:0') Epoch 355, bias, value: tensor([-0.0246, 0.0406, -0.0008, -0.0083, 0.0229, -0.0286, 0.0017, 0.0014, -0.0085, -0.0144], device='cuda:0'), grad: tensor([-0.0261, 0.0041, 0.0066, 0.0019, 0.0073, 0.0021, -0.0048, 0.0044, 0.0022, 0.0022], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 354---------------------------------------------------- epoch 354, time 232.28, cls_loss 0.5171 cls_loss_mapping 0.0021 cls_loss_causal 0.4497 re_mapping 0.0087 re_causal 0.0208 /// teacc 98.98 lr 0.00010000 Epoch 356, weight, value: tensor([[-0.0722, -0.1458, -0.1033, ..., -0.0372, 0.0590, -0.1047], [-0.0774, -0.0869, -0.0873, ..., 0.1017, -0.0358, 0.2314], [ 0.0022, -0.0259, -0.0528, ..., -0.0064, -0.0131, -0.0828], ..., [ 0.0413, -0.1209, 0.1753, ..., 0.0385, -0.1232, 0.0614], [-0.0321, 0.0610, -0.1533, ..., -0.0569, 0.0166, -0.1122], [-0.0585, 0.0797, 0.0468, ..., -0.0610, -0.0519, -0.0351]], device='cuda:0'), grad: tensor([[-8.8358e-04, -2.2335e-03, -1.3542e-04, ..., -4.2953e-03, 3.2330e-04, -6.8436e-03], [-1.8015e-03, 1.6749e-05, -1.5044e-04, ..., -3.0861e-03, -2.8877e-03, 2.1191e-03], [ 2.1040e-04, 1.3340e-04, 8.7082e-05, ..., -6.7091e-04, 2.7490e-04, -2.4586e-03], ..., [ 1.2243e-04, 2.2352e-05, 1.8373e-05, ..., 1.6623e-03, 1.8489e-04, 3.1223e-03], [ 3.8743e-04, 1.1368e-03, 5.0843e-05, ..., -4.8599e-03, 2.3139e-04, -5.4169e-03], [ 1.9014e-04, 3.4571e-04, 2.9162e-05, ..., 2.2221e-03, 2.3973e-04, 3.1185e-03]], device='cuda:0') Epoch 356, bias, value: tensor([-0.0258, 0.0412, -0.0011, -0.0089, 0.0228, -0.0268, 0.0016, 0.0020, -0.0081, -0.0152], device='cuda:0'), grad: tensor([-0.0616, -0.0110, -0.0168, 0.0440, 0.0217, 0.0033, -0.0137, 0.0194, -0.0078, 0.0225], device='cuda:0') 100 0.0001 changing lr epoch 355, time 214.90, cls_loss 0.5472 cls_loss_mapping 0.0026 cls_loss_causal 0.4828 re_mapping 0.0087 re_causal 0.0198 /// teacc 98.84 lr 0.00010000 Epoch 357, weight, value: tensor([[-0.0730, -0.1457, -0.1031, ..., -0.0379, 0.0590, -0.1051], [-0.0769, -0.0878, -0.0868, ..., 0.1005, -0.0344, 0.2315], [ 0.0027, -0.0260, -0.0508, ..., -0.0072, -0.0134, -0.0824], ..., [ 0.0416, -0.1195, 0.1753, ..., 0.0396, -0.1223, 0.0616], [-0.0319, 0.0608, -0.1537, ..., -0.0552, 0.0165, -0.1111], [-0.0585, 0.0796, 0.0467, ..., -0.0598, -0.0520, -0.0347]], device='cuda:0'), grad: tensor([[ 8.2493e-04, 1.8757e-06, 1.1548e-05, ..., 1.8301e-03, 1.1299e-02, 9.2459e-04], [ 6.0701e-04, 2.1458e-06, 1.4745e-05, ..., 3.2597e-03, 2.7627e-05, 1.6079e-03], [-4.0436e-03, 9.4414e-05, 5.8365e-04, ..., -8.0872e-03, 4.3464e-04, -9.3536e-03], ..., [-2.4929e-03, 7.2300e-05, 4.0340e-04, ..., 8.6737e-04, 3.0279e-04, -2.7776e-04], [ 2.7561e-04, 9.4175e-05, 5.7316e-04, ..., 1.4172e-03, 5.2691e-04, 6.4087e-04], [ 3.1052e-03, -4.4033e-06, 4.4614e-05, ..., 1.0328e-03, 1.2350e-04, 1.9550e-03]], device='cuda:0') Epoch 357, bias, value: tensor([-0.0257, 0.0410, 0.0002, -0.0089, 0.0226, -0.0277, 0.0007, 0.0023, -0.0080, -0.0150], device='cuda:0'), grad: tensor([ 0.0298, 0.0161, -0.0495, 0.0023, -0.0414, 0.0112, 0.0087, 0.0026, -0.0086, 0.0288], device='cuda:0') 100 0.0001 changing lr epoch 356, time 215.05, cls_loss 0.5552 cls_loss_mapping 0.0025 cls_loss_causal 0.4793 re_mapping 0.0090 re_causal 0.0218 /// teacc 98.90 lr 0.00010000 Epoch 358, weight, value: tensor([[-0.0721, -0.1463, -0.1027, ..., -0.0372, 0.0584, -0.1057], [-0.0778, -0.0885, -0.0872, ..., 0.0996, -0.0344, 0.2312], [ 0.0030, -0.0260, -0.0508, ..., -0.0055, -0.0138, -0.0823], ..., [ 0.0421, -0.1191, 0.1753, ..., 0.0397, -0.1225, 0.0618], [-0.0317, 0.0610, -0.1535, ..., -0.0549, 0.0169, -0.1101], [-0.0594, 0.0800, 0.0468, ..., -0.0607, -0.0519, -0.0360]], device='cuda:0'), grad: tensor([[ 3.3092e-04, 1.2629e-06, 1.4696e-06, ..., 1.4782e-03, 3.3112e-02, -2.0218e-04], [ 1.3399e-04, 7.5772e-06, 4.3102e-06, ..., 1.3447e-03, 1.0748e-03, 1.1690e-05], [-1.4772e-03, 2.3913e-04, 1.1265e-04, ..., -4.7455e-03, 2.4185e-03, 2.7016e-05], ..., [ 2.8086e-04, 4.0025e-05, -4.8369e-05, ..., 9.4604e-04, 6.7663e-04, -6.8951e-04], [ 3.2973e-04, 1.8463e-05, 5.0366e-05, ..., -6.8207e-03, -8.7357e-03, 1.0896e-04], [ 2.3437e-04, -1.2672e-04, -1.1250e-05, ..., 1.1053e-03, 2.6779e-03, 5.8889e-05]], device='cuda:0') Epoch 358, bias, value: tensor([-0.0253, 0.0408, 0.0002, -0.0089, 0.0223, -0.0280, 0.0005, 0.0026, -0.0068, -0.0160], device='cuda:0'), grad: tensor([ 0.0446, 0.0153, -0.0433, 0.0170, -0.0271, -0.0161, 0.0326, 0.0075, -0.0467, 0.0163], device='cuda:0') 100 0.0001 changing lr epoch 357, time 214.89, cls_loss 0.5153 cls_loss_mapping 0.0042 cls_loss_causal 0.4497 re_mapping 0.0086 re_causal 0.0204 /// teacc 98.77 lr 0.00010000 Epoch 359, weight, value: tensor([[-0.0711, -0.1470, -0.1032, ..., -0.0361, 0.0584, -0.1056], [-0.0782, -0.0887, -0.0859, ..., 0.0997, -0.0339, 0.2298], [ 0.0026, -0.0254, -0.0502, ..., -0.0061, -0.0143, -0.0804], ..., [ 0.0418, -0.1200, 0.1756, ..., 0.0404, -0.1225, 0.0622], [-0.0325, 0.0618, -0.1545, ..., -0.0545, 0.0180, -0.1102], [-0.0582, 0.0800, 0.0469, ..., -0.0603, -0.0522, -0.0361]], device='cuda:0'), grad: tensor([[ 1.2517e-04, 2.0075e-04, 5.0247e-05, ..., 1.4706e-03, -1.1459e-05, 4.7874e-04], [ 1.7174e-06, 9.1887e-04, 3.9011e-05, ..., -2.5768e-03, 9.3132e-09, 3.0136e-04], [ 1.8578e-03, 1.3762e-03, 7.3767e-04, ..., 3.9024e-03, 6.2771e-07, -4.0603e-04], ..., [ 2.8357e-05, 4.7517e-04, -1.6642e-04, ..., 1.6422e-03, 7.4506e-09, -9.8825e-05], [ 2.7120e-05, 1.8415e-03, 2.1279e-05, ..., 2.6646e-03, 1.1958e-06, 1.3962e-03], [-5.3644e-07, 3.0637e-04, 3.7640e-05, ..., 7.7057e-04, 2.0992e-06, 4.7760e-03]], device='cuda:0') Epoch 359, bias, value: tensor([-2.5404e-02, 4.1678e-02, 6.0835e-05, -1.0551e-02, 2.1157e-02, -2.7930e-02, 7.6998e-04, 2.5739e-03, -5.7277e-03, -1.5184e-02], device='cuda:0'), grad: tensor([ 0.0117, 0.0091, -0.0345, -0.0109, -0.0031, -0.0370, -0.0220, 0.0204, 0.0464, 0.0199], device='cuda:0') 100 0.0001 changing lr epoch 358, time 215.04, cls_loss 0.5407 cls_loss_mapping 0.0027 cls_loss_causal 0.4708 re_mapping 0.0087 re_causal 0.0218 /// teacc 98.81 lr 0.00010000 Epoch 360, weight, value: tensor([[-0.0723, -0.1477, -0.1046, ..., -0.0370, 0.0584, -0.1062], [-0.0789, -0.0900, -0.0868, ..., 0.0981, -0.0347, 0.2303], [ 0.0035, -0.0261, -0.0508, ..., -0.0063, -0.0150, -0.0810], ..., [ 0.0411, -0.1178, 0.1764, ..., 0.0433, -0.1220, 0.0619], [-0.0337, 0.0621, -0.1534, ..., -0.0543, 0.0175, -0.1103], [-0.0568, 0.0803, 0.0462, ..., -0.0599, -0.0526, -0.0351]], device='cuda:0'), grad: tensor([[ 3.9520e-03, 2.3830e-04, 1.9646e-04, ..., -2.6016e-03, 7.2360e-05, -3.7217e-04], [-5.3692e-04, 2.1052e-04, -4.2498e-05, ..., -1.1330e-02, 1.7118e-04, -3.0994e-03], [ 1.2197e-03, 8.0252e-04, 6.7234e-04, ..., 4.7073e-03, 1.7905e-04, 1.6747e-03], ..., [ 4.8409e-03, 3.6411e-03, 2.1458e-04, ..., 1.1688e-02, 1.0616e-04, 2.5597e-03], [ 1.1683e-03, 6.3610e-04, 5.1785e-04, ..., 3.6545e-03, 4.1753e-05, 2.3251e-03], [ 3.5706e-03, 1.6766e-03, 2.9540e-04, ..., 3.4618e-03, 6.5207e-05, 3.4504e-03]], device='cuda:0') Epoch 360, bias, value: tensor([-0.0265, 0.0421, -0.0003, -0.0104, 0.0207, -0.0273, 0.0011, 0.0036, -0.0068, -0.0149], device='cuda:0'), grad: tensor([-0.0045, -0.0057, 0.0231, 0.0044, -0.0430, -0.0277, -0.0371, 0.0424, 0.0203, 0.0278], device='cuda:0') 100 0.0001 changing lr epoch 359, time 215.05, cls_loss 0.5354 cls_loss_mapping 0.0025 cls_loss_causal 0.4849 re_mapping 0.0087 re_causal 0.0204 /// teacc 98.93 lr 0.00010000 Epoch 361, weight, value: tensor([[-0.0741, -0.1485, -0.1055, ..., -0.0372, 0.0584, -0.1053], [-0.0791, -0.0912, -0.0866, ..., 0.0983, -0.0348, 0.2302], [ 0.0016, -0.0265, -0.0534, ..., -0.0076, -0.0147, -0.0822], ..., [ 0.0420, -0.1181, 0.1781, ..., 0.0438, -0.1226, 0.0618], [-0.0328, 0.0627, -0.1538, ..., -0.0531, 0.0157, -0.1087], [-0.0568, 0.0789, 0.0447, ..., -0.0608, -0.0530, -0.0356]], device='cuda:0'), grad: tensor([[-0.0061, 0.0003, 0.0004, ..., -0.0069, -0.0013, -0.0020], [ 0.0026, 0.0006, 0.0008, ..., 0.0025, 0.0007, -0.0006], [-0.0001, -0.0047, 0.0006, ..., -0.0003, 0.0004, 0.0014], ..., [ 0.0006, 0.0005, -0.0064, ..., 0.0022, 0.0004, -0.0074], [-0.0039, 0.0017, 0.0012, ..., -0.0057, -0.0006, 0.0017], [ 0.0023, 0.0006, 0.0070, ..., 0.0026, 0.0004, 0.0032]], device='cuda:0') Epoch 361, bias, value: tensor([-0.0268, 0.0418, -0.0017, -0.0101, 0.0223, -0.0283, 0.0012, 0.0034, -0.0059, -0.0147], device='cuda:0'), grad: tensor([-0.0112, 0.0078, -0.0345, 0.0062, 0.0254, 0.0319, -0.0018, -0.0134, -0.0331, 0.0227], device='cuda:0') 100 0.0001 changing lr epoch 360, time 214.78, cls_loss 0.5041 cls_loss_mapping 0.0024 cls_loss_causal 0.4445 re_mapping 0.0084 re_causal 0.0199 /// teacc 98.92 lr 0.00010000 Epoch 362, weight, value: tensor([[-0.0735, -0.1487, -0.1054, ..., -0.0371, 0.0576, -0.1058], [-0.0788, -0.0911, -0.0866, ..., 0.0983, -0.0357, 0.2301], [ 0.0034, -0.0273, -0.0525, ..., -0.0068, -0.0144, -0.0821], ..., [ 0.0407, -0.1191, 0.1784, ..., 0.0442, -0.1207, 0.0631], [-0.0332, 0.0636, -0.1544, ..., -0.0540, 0.0152, -0.1097], [-0.0575, 0.0793, 0.0448, ..., -0.0605, -0.0523, -0.0349]], device='cuda:0'), grad: tensor([[ 2.0489e-07, 2.6077e-07, 1.1846e-06, ..., -4.1733e-03, 1.5271e-04, -1.2283e-03], [ 1.4063e-06, 1.6578e-07, 3.8743e-06, ..., 1.1883e-03, 2.7418e-04, 1.1766e-04], [ 9.6083e-05, 4.7348e-06, 2.5988e-04, ..., 2.2106e-03, 6.7902e-04, 1.4937e-04], ..., [ 2.8849e-04, 1.0431e-07, 4.9782e-04, ..., 2.0180e-03, 6.7186e-04, 2.6560e-04], [ 4.9546e-06, 3.2008e-05, 1.0043e-05, ..., -7.7009e-04, 5.2166e-04, 1.0872e-04], [ 7.7486e-05, 4.4517e-06, 1.5485e-04, ..., 1.1635e-03, 1.0719e-03, 1.4389e-04]], device='cuda:0') Epoch 362, bias, value: tensor([-0.0263, 0.0425, -0.0010, -0.0112, 0.0228, -0.0296, 0.0011, 0.0044, -0.0059, -0.0154], device='cuda:0'), grad: tensor([-0.0441, 0.0245, -0.0353, 0.0098, 0.0177, -0.0090, -0.0136, 0.0322, -0.0056, 0.0234], device='cuda:0') 100 0.0001 changing lr epoch 361, time 214.94, cls_loss 0.5597 cls_loss_mapping 0.0028 cls_loss_causal 0.4838 re_mapping 0.0093 re_causal 0.0215 /// teacc 98.83 lr 0.00010000 Epoch 363, weight, value: tensor([[-0.0738, -0.1494, -0.1058, ..., -0.0374, 0.0574, -0.1053], [-0.0794, -0.0922, -0.0862, ..., 0.0993, -0.0361, 0.2300], [ 0.0029, -0.0258, -0.0539, ..., -0.0071, -0.0150, -0.0831], ..., [ 0.0405, -0.1184, 0.1777, ..., 0.0429, -0.1220, 0.0633], [-0.0326, 0.0631, -0.1531, ..., -0.0535, 0.0156, -0.1086], [-0.0571, 0.0795, 0.0446, ..., -0.0612, -0.0515, -0.0361]], device='cuda:0'), grad: tensor([[ 1.9699e-05, 4.3440e-04, 4.3958e-07, ..., 5.4264e-04, 3.7886e-06, 1.1873e-04], [ 3.0965e-05, -2.9583e-03, 6.3069e-06, ..., -2.8801e-03, 1.7174e-06, -1.0281e-03], [ 1.0985e-04, 1.0452e-03, 2.9311e-05, ..., 1.6708e-03, 5.2378e-06, 2.1183e-04], ..., [-1.0505e-05, 5.2738e-04, -5.2780e-05, ..., 3.7718e-04, 5.8681e-05, 1.0496e-04], [ 3.9428e-05, 1.8291e-03, 2.4159e-06, ..., 6.5660e-04, -8.7585e-03, -5.3520e-03], [ 1.5974e-05, 8.7128e-03, 1.5929e-05, ..., 3.9768e-04, 6.7406e-03, 4.1847e-03]], device='cuda:0') Epoch 363, bias, value: tensor([-0.0261, 0.0426, -0.0010, -0.0105, 0.0234, -0.0304, 0.0005, 0.0034, -0.0047, -0.0159], device='cuda:0'), grad: tensor([-0.0171, -0.0159, 0.0201, -0.0428, 0.0172, 0.0056, -0.0022, -0.0195, -0.0135, 0.0683], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 362---------------------------------------------------- epoch 362, time 231.09, cls_loss 0.5709 cls_loss_mapping 0.0042 cls_loss_causal 0.5029 re_mapping 0.0091 re_causal 0.0209 /// teacc 98.99 lr 0.00010000 Epoch 364, weight, value: tensor([[-0.0721, -0.1493, -0.1056, ..., -0.0373, 0.0580, -0.1053], [-0.0804, -0.0924, -0.0866, ..., 0.0982, -0.0362, 0.2305], [ 0.0031, -0.0265, -0.0548, ..., -0.0065, -0.0151, -0.0815], ..., [ 0.0415, -0.1189, 0.1767, ..., 0.0423, -0.1191, 0.0631], [-0.0321, 0.0633, -0.1535, ..., -0.0529, 0.0164, -0.1092], [-0.0592, 0.0800, 0.0452, ..., -0.0619, -0.0513, -0.0354]], device='cuda:0'), grad: tensor([[ 8.8882e-04, 7.4339e-04, 4.1223e-04, ..., 2.2240e-03, 1.7920e-03, 7.7724e-04], [ 2.3496e-04, 2.6643e-05, 1.0574e-04, ..., -7.1144e-03, 4.9400e-04, -4.8256e-03], [ 4.9496e-04, 1.7929e-02, 5.0087e-03, ..., 3.9711e-03, -1.0777e-03, 5.1355e-04], ..., [-2.6870e-04, -2.0203e-02, -7.8106e-04, ..., 1.0526e-04, 7.0620e-04, -7.8964e-04], [-2.3727e-03, 1.5569e-04, 3.5596e-04, ..., -7.2145e-04, -6.4735e-03, -9.9945e-04], [ 6.1560e-04, 4.6110e-04, 6.6090e-04, ..., 1.3151e-03, 7.4768e-04, 7.4768e-04]], device='cuda:0') Epoch 364, bias, value: tensor([-0.0267, 0.0407, 0.0003, -0.0111, 0.0229, -0.0300, 0.0018, 0.0034, -0.0042, -0.0157], device='cuda:0'), grad: tensor([ 0.0255, -0.0139, 0.0483, 0.0106, -0.0128, -0.0466, 0.0271, -0.0119, -0.0463, 0.0200], device='cuda:0') 100 0.0001 changing lr epoch 363, time 214.79, cls_loss 0.5515 cls_loss_mapping 0.0026 cls_loss_causal 0.4865 re_mapping 0.0087 re_causal 0.0208 /// teacc 98.91 lr 0.00010000 Epoch 365, weight, value: tensor([[-0.0719, -0.1497, -0.1066, ..., -0.0372, 0.0587, -0.1065], [-0.0800, -0.0928, -0.0865, ..., 0.0984, -0.0366, 0.2290], [ 0.0024, -0.0276, -0.0551, ..., -0.0082, -0.0152, -0.0802], ..., [ 0.0416, -0.1174, 0.1768, ..., 0.0429, -0.1198, 0.0639], [-0.0314, 0.0634, -0.1534, ..., -0.0539, 0.0167, -0.1086], [-0.0596, 0.0798, 0.0455, ..., -0.0610, -0.0517, -0.0355]], device='cuda:0'), grad: tensor([[ 1.1748e-04, 3.8818e-06, 7.0669e-06, ..., 8.3113e-04, 5.4455e-04, 1.6678e-02], [ 8.6486e-05, 6.7428e-07, 8.1025e-07, ..., 2.0874e-04, 1.6952e-04, 3.1686e-04], [ 7.8392e-04, -5.1886e-05, 2.3991e-06, ..., 5.0497e-04, 2.6655e-04, 3.2272e-03], ..., [ 3.8195e-04, 6.6757e-06, 2.0191e-05, ..., 1.9777e-04, 5.6803e-05, 1.2960e-03], [ 2.5539e-03, -5.0887e-06, 8.5086e-06, ..., 1.0080e-03, 2.6917e-04, 8.0776e-04], [ 1.4286e-03, 5.5954e-06, 6.2138e-06, ..., 4.9639e-04, 1.0878e-04, 5.2299e-03]], device='cuda:0') Epoch 365, bias, value: tensor([-0.0257, 0.0405, -0.0012, -0.0100, 0.0222, -0.0296, 0.0007, 0.0037, -0.0044, -0.0149], device='cuda:0'), grad: tensor([ 0.0009, 0.0048, 0.0076, -0.0142, -0.0452, 0.0414, -0.0057, 0.0046, -0.0203, 0.0259], device='cuda:0') 100 0.0001 changing lr epoch 364, time 214.82, cls_loss 0.5162 cls_loss_mapping 0.0033 cls_loss_causal 0.4604 re_mapping 0.0086 re_causal 0.0201 /// teacc 98.79 lr 0.00010000 Epoch 366, weight, value: tensor([[-0.0698, -0.1494, -0.1057, ..., -0.0367, 0.0592, -0.1071], [-0.0799, -0.0929, -0.0866, ..., 0.0988, -0.0370, 0.2300], [ 0.0039, -0.0281, -0.0536, ..., -0.0078, -0.0165, -0.0798], ..., [ 0.0411, -0.1170, 0.1764, ..., 0.0429, -0.1195, 0.0636], [-0.0328, 0.0638, -0.1522, ..., -0.0538, 0.0180, -0.1092], [-0.0598, 0.0795, 0.0452, ..., -0.0611, -0.0522, -0.0363]], device='cuda:0'), grad: tensor([[ 7.5251e-07, 1.0805e-03, 3.5787e-04, ..., 1.2522e-03, -1.1548e-05, 7.1144e-04], [ 2.3339e-06, 2.1863e-04, -2.1291e-04, ..., -1.5125e-03, -3.7581e-05, -2.7866e-03], [ 1.8731e-05, 7.2098e-03, 4.9820e-03, ..., 1.1883e-03, 2.2011e-03, 1.2817e-03], ..., [-2.9355e-05, 1.2455e-03, -1.3456e-03, ..., 9.8324e-04, 3.2693e-05, 9.9659e-04], [ 4.5635e-07, -4.3488e-03, -4.1733e-03, ..., 1.9894e-03, -2.7351e-03, 2.1706e-03], [ 5.4464e-06, -7.6752e-03, -8.0109e-04, ..., -2.2621e-03, 1.4566e-05, -2.9316e-03]], device='cuda:0') Epoch 366, bias, value: tensor([-0.0264, 0.0395, -0.0011, -0.0109, 0.0231, -0.0299, 0.0015, 0.0044, -0.0040, -0.0151], device='cuda:0'), grad: tensor([-0.0117, 0.0084, 0.0491, -0.0031, -0.0041, -0.0071, -0.0133, 0.0103, 0.0047, -0.0332], device='cuda:0') 100 0.0001 changing lr epoch 365, time 214.70, cls_loss 0.5041 cls_loss_mapping 0.0022 cls_loss_causal 0.4473 re_mapping 0.0087 re_causal 0.0208 /// teacc 98.81 lr 0.00010000 Epoch 367, weight, value: tensor([[-0.0683, -0.1500, -0.1059, ..., -0.0368, 0.0600, -0.1074], [-0.0810, -0.0919, -0.0858, ..., 0.0986, -0.0375, 0.2301], [ 0.0035, -0.0290, -0.0536, ..., -0.0078, -0.0168, -0.0796], ..., [ 0.0415, -0.1194, 0.1766, ..., 0.0430, -0.1198, 0.0642], [-0.0320, 0.0661, -0.1514, ..., -0.0527, 0.0173, -0.1100], [-0.0617, 0.0801, 0.0448, ..., -0.0609, -0.0526, -0.0361]], device='cuda:0'), grad: tensor([[ 6.2037e-04, 2.8000e-03, 2.7204e-04, ..., -1.1307e-04, -7.2060e-03, 6.8331e-04], [ 8.0299e-04, 5.1916e-05, 4.1187e-05, ..., 1.3316e-04, 9.4748e-04, -1.7624e-03], [ 7.6532e-04, 7.0214e-05, 9.6977e-05, ..., 1.4582e-03, 1.0805e-03, 8.8882e-04], ..., [ 6.3372e-04, 5.7578e-05, 2.6455e-03, ..., 4.3259e-03, 1.5860e-03, 4.5433e-03], [ 6.1131e-04, 1.9760e-03, 5.8794e-04, ..., -2.8877e-03, 7.8726e-04, -2.7428e-03], [ 1.0118e-03, -4.1747e-04, 8.2397e-04, ..., 2.1114e-03, 1.3857e-03, 1.7653e-03]], device='cuda:0') Epoch 367, bias, value: tensor([-0.0268, 0.0402, -0.0016, -0.0107, 0.0235, -0.0306, 0.0017, 0.0042, -0.0034, -0.0154], device='cuda:0'), grad: tensor([-0.0006, 0.0099, 0.0173, 0.0116, -0.0635, -0.0340, 0.0167, 0.0334, -0.0113, 0.0204], device='cuda:0') 100 0.0001 changing lr epoch 366, time 214.78, cls_loss 0.5072 cls_loss_mapping 0.0022 cls_loss_causal 0.4381 re_mapping 0.0096 re_causal 0.0219 /// teacc 98.74 lr 0.00010000 Epoch 368, weight, value: tensor([[-0.0679, -0.1515, -0.1063, ..., -0.0375, 0.0607, -0.1081], [-0.0805, -0.0923, -0.0862, ..., 0.0988, -0.0380, 0.2311], [ 0.0028, -0.0286, -0.0535, ..., -0.0064, -0.0159, -0.0797], ..., [ 0.0409, -0.1204, 0.1766, ..., 0.0434, -0.1200, 0.0638], [-0.0318, 0.0654, -0.1508, ..., -0.0531, 0.0173, -0.1105], [-0.0618, 0.0799, 0.0440, ..., -0.0612, -0.0529, -0.0366]], device='cuda:0'), grad: tensor([[ 4.2391e-04, 4.0627e-04, 1.9759e-05, ..., 6.2847e-04, 3.2520e-04, 9.6738e-05], [ 2.9087e-04, 2.2697e-04, 1.6704e-05, ..., -4.0855e-03, 1.8847e-04, 4.6343e-05], [-3.2349e-03, 2.8372e-04, 1.1611e-04, ..., -4.6062e-04, -4.0865e-04, 4.0007e-04], ..., [ 4.2105e-04, 1.3864e-04, -2.2805e-04, ..., -1.7130e-04, 1.8239e-04, -4.0970e-03], [ 5.8502e-05, -5.1041e-03, -6.2823e-05, ..., 2.2042e-04, -3.1452e-03, -1.5879e-04], [ 6.2609e-04, 4.6110e-04, 5.2065e-05, ..., 1.0386e-03, 3.2258e-04, 3.2196e-03]], device='cuda:0') Epoch 368, bias, value: tensor([-0.0277, 0.0413, -0.0016, -0.0115, 0.0229, -0.0301, 0.0019, 0.0042, -0.0037, -0.0146], device='cuda:0'), grad: tensor([ 0.0229, -0.0322, -0.0617, -0.0137, 0.0347, 0.0394, 0.0079, 0.0021, -0.0631, 0.0638], device='cuda:0') 100 0.0001 changing lr epoch 367, time 214.88, cls_loss 0.5229 cls_loss_mapping 0.0030 cls_loss_causal 0.4625 re_mapping 0.0085 re_causal 0.0195 /// teacc 98.84 lr 0.00010000 Epoch 369, weight, value: tensor([[-0.0683, -0.1515, -0.1067, ..., -0.0370, 0.0620, -0.1087], [-0.0803, -0.0932, -0.0863, ..., 0.0983, -0.0371, 0.2317], [ 0.0021, -0.0277, -0.0538, ..., -0.0073, -0.0161, -0.0799], ..., [ 0.0408, -0.1199, 0.1765, ..., 0.0433, -0.1205, 0.0641], [-0.0324, 0.0664, -0.1517, ..., -0.0534, 0.0173, -0.1121], [-0.0616, 0.0788, 0.0436, ..., -0.0616, -0.0526, -0.0357]], device='cuda:0'), grad: tensor([[-2.0599e-03, 1.2434e-04, 5.8003e-06, ..., -7.3814e-03, 8.3029e-05, -4.1084e-03], [ 1.6248e-04, 3.4589e-06, 7.7412e-06, ..., 1.6680e-03, 1.4156e-06, -6.4392e-03], [ 1.8406e-03, 3.4362e-05, -8.0490e-03, ..., -7.1411e-03, 4.9062e-06, -5.3291e-03], ..., [ 1.8749e-03, 1.1072e-05, 8.0032e-03, ..., 8.7128e-03, 5.3272e-07, 4.4746e-03], [ 5.8651e-04, 1.1003e-04, 4.2558e-05, ..., 1.9016e-03, 4.2975e-05, 9.6941e-04], [-7.3051e-04, -5.9724e-05, 3.1352e-05, ..., 2.0618e-03, 1.9930e-06, 1.3132e-03]], device='cuda:0') Epoch 369, bias, value: tensor([-0.0272, 0.0414, -0.0023, -0.0102, 0.0229, -0.0308, 0.0015, 0.0045, -0.0039, -0.0149], device='cuda:0'), grad: tensor([-0.0459, -0.0159, -0.0390, 0.0071, 0.0386, -0.0382, 0.0154, 0.0570, 0.0054, 0.0154], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 368---------------------------------------------------- epoch 368, time 231.14, cls_loss 0.5215 cls_loss_mapping 0.0030 cls_loss_causal 0.4525 re_mapping 0.0090 re_causal 0.0211 /// teacc 99.01 lr 0.00010000 Epoch 370, weight, value: tensor([[-0.0678, -0.1514, -0.1062, ..., -0.0373, 0.0621, -0.1098], [-0.0804, -0.0935, -0.0858, ..., 0.1006, -0.0380, 0.2337], [ 0.0019, -0.0275, -0.0526, ..., -0.0071, -0.0158, -0.0798], ..., [ 0.0406, -0.1198, 0.1763, ..., 0.0426, -0.1195, 0.0649], [-0.0327, 0.0662, -0.1526, ..., -0.0537, 0.0177, -0.1130], [-0.0614, 0.0781, 0.0448, ..., -0.0621, -0.0522, -0.0354]], device='cuda:0'), grad: tensor([[ 1.1120e-03, 5.5879e-09, 6.6683e-07, ..., -1.3101e-04, -2.9244e-06, -1.0918e-02], [ 3.7980e-04, 9.3132e-09, 3.0510e-06, ..., -6.0892e-04, 6.6683e-07, -2.7299e-04], [-6.1836e-03, 8.1956e-08, 7.7561e-06, ..., -2.9221e-03, 2.6636e-07, 1.0997e-04], ..., [ 1.4830e-04, 4.4703e-08, -8.5056e-05, ..., 1.2302e-03, 3.3528e-08, 3.2043e-03], [ 2.1112e-04, -4.2841e-08, 5.4426e-06, ..., 4.9263e-05, 3.1106e-07, 1.2426e-03], [ 9.0551e-04, 1.9372e-07, 4.2886e-05, ..., 1.6775e-03, 3.3900e-07, 4.6806e-03]], device='cuda:0') Epoch 370, bias, value: tensor([-0.0276, 0.0410, -0.0018, -0.0095, 0.0232, -0.0311, 0.0015, 0.0043, -0.0039, -0.0151], device='cuda:0'), grad: tensor([ 0.0015, -0.0161, -0.0146, 0.0195, -0.0179, -0.0175, 0.0147, 0.0218, -0.0159, 0.0245], device='cuda:0') 100 0.0001 changing lr epoch 369, time 214.69, cls_loss 0.5130 cls_loss_mapping 0.0022 cls_loss_causal 0.4464 re_mapping 0.0088 re_causal 0.0209 /// teacc 98.88 lr 0.00010000 Epoch 371, weight, value: tensor([[-0.0675, -0.1530, -0.1048, ..., -0.0363, 0.0622, -0.1070], [-0.0814, -0.0939, -0.0861, ..., 0.1006, -0.0380, 0.2331], [ 0.0023, -0.0274, -0.0536, ..., -0.0076, -0.0158, -0.0802], ..., [ 0.0398, -0.1198, 0.1769, ..., 0.0421, -0.1197, 0.0642], [-0.0319, 0.0663, -0.1535, ..., -0.0535, 0.0187, -0.1138], [-0.0614, 0.0789, 0.0452, ..., -0.0620, -0.0518, -0.0356]], device='cuda:0'), grad: tensor([[ 9.0837e-04, 1.9050e-04, 3.2115e-04, ..., -1.6994e-03, 2.6774e-04, 3.0231e-04], [ 9.5272e-04, 1.2624e-04, 2.8467e-04, ..., 4.9305e-04, 2.4028e-07, 2.9421e-04], [ 1.5268e-03, 6.2418e-04, -1.1971e-02, ..., 2.9039e-04, 1.0526e-04, 8.3733e-04], ..., [ 8.8263e-04, 3.2330e-04, 2.4414e-03, ..., 2.1038e-03, 8.7544e-08, 2.1338e-04], [-3.0766e-03, 1.4086e-03, 4.2915e-04, ..., -7.0763e-03, 9.1553e-03, -2.2144e-03], [ 1.6174e-03, -1.9989e-03, 2.5702e-04, ..., 1.9646e-03, 1.6794e-05, 3.4785e-04]], device='cuda:0') Epoch 371, bias, value: tensor([-0.0275, 0.0410, -0.0010, -0.0091, 0.0230, -0.0303, 0.0016, 0.0039, -0.0045, -0.0158], device='cuda:0'), grad: tensor([-0.0215, 0.0120, -0.0027, 0.0064, 0.0125, 0.0117, -0.0195, 0.0161, -0.0166, 0.0017], device='cuda:0') 100 0.0001 changing lr epoch 370, time 214.86, cls_loss 0.5178 cls_loss_mapping 0.0025 cls_loss_causal 0.4575 re_mapping 0.0090 re_causal 0.0214 /// teacc 98.91 lr 0.00010000 Epoch 372, weight, value: tensor([[-0.0690, -0.1537, -0.1052, ..., -0.0359, 0.0620, -0.1074], [-0.0811, -0.0941, -0.0863, ..., 0.1004, -0.0376, 0.2336], [ 0.0018, -0.0287, -0.0543, ..., -0.0065, -0.0155, -0.0805], ..., [ 0.0417, -0.1203, 0.1767, ..., 0.0422, -0.1201, 0.0648], [-0.0308, 0.0657, -0.1544, ..., -0.0530, 0.0177, -0.1146], [-0.0623, 0.0802, 0.0456, ..., -0.0627, -0.0507, -0.0347]], device='cuda:0'), grad: tensor([[ 3.3528e-05, 2.6751e-04, 1.8442e-04, ..., -3.6383e-04, -8.6427e-06, 9.1314e-05], [ 1.1787e-03, 8.9109e-05, 6.3801e-04, ..., 1.1589e-02, 1.0990e-07, 6.1874e-03], [ 7.5161e-05, 8.3625e-05, 4.6806e-03, ..., 2.7676e-03, 4.4890e-07, 2.6932e-03], ..., [-1.9083e-03, 7.4148e-05, -2.2755e-03, ..., -5.6725e-03, 5.0478e-07, 4.3793e-03], [ 4.4972e-05, -1.5974e-03, 1.3363e-04, ..., -6.2943e-03, 4.4890e-07, -3.8853e-03], [ 5.8699e-04, 1.5545e-04, 3.9148e-04, ..., 2.0866e-03, 6.2026e-06, -5.7030e-03]], device='cuda:0') Epoch 372, bias, value: tensor([-0.0271, 0.0416, -0.0012, -0.0101, 0.0236, -0.0292, 0.0012, 0.0034, -0.0055, -0.0154], device='cuda:0'), grad: tensor([-0.0026, 0.0424, -0.0493, 0.0265, -0.0138, 0.0317, 0.0496, -0.0291, -0.0478, -0.0076], device='cuda:0') 100 0.0001 changing lr epoch 371, time 214.70, cls_loss 0.5205 cls_loss_mapping 0.0025 cls_loss_causal 0.4585 re_mapping 0.0085 re_causal 0.0211 /// teacc 98.81 lr 0.00010000 Epoch 373, weight, value: tensor([[-0.0711, -0.1536, -0.1072, ..., -0.0364, 0.0608, -0.1071], [-0.0803, -0.0930, -0.0867, ..., 0.0999, -0.0376, 0.2344], [ 0.0028, -0.0296, -0.0533, ..., -0.0061, -0.0144, -0.0807], ..., [ 0.0417, -0.1202, 0.1758, ..., 0.0420, -0.1201, 0.0642], [-0.0306, 0.0655, -0.1539, ..., -0.0521, 0.0178, -0.1144], [-0.0624, 0.0805, 0.0462, ..., -0.0627, -0.0494, -0.0354]], device='cuda:0'), grad: tensor([[ 3.2258e-04, 3.5733e-05, 6.4354e-07, ..., 1.5459e-03, 8.1003e-05, 1.8775e-04], [ 6.0844e-04, 3.0547e-05, 7.1339e-07, ..., 1.8072e-03, 3.9071e-05, 8.4341e-05], [ 4.3631e-04, 6.9916e-05, 2.3153e-06, ..., 5.9366e-04, 2.4033e-04, 2.5296e-04], ..., [ 3.6764e-04, 9.2268e-05, 6.9700e-06, ..., 1.9979e-04, 5.1588e-05, -1.0786e-03], [ 1.0169e-04, -1.7614e-03, 1.1384e-05, ..., 1.9369e-03, -2.1763e-03, -4.1604e-05], [-3.0613e-03, -3.5584e-05, -9.0599e-05, ..., -2.3708e-03, 6.8307e-05, 1.6570e-04]], device='cuda:0') Epoch 373, bias, value: tensor([-0.0280, 0.0414, -0.0012, -0.0102, 0.0236, -0.0300, 0.0012, 0.0045, -0.0048, -0.0154], device='cuda:0'), grad: tensor([ 0.0106, 0.0125, 0.0059, -0.0130, -0.0181, 0.0148, 0.0104, 0.0084, -0.0122, -0.0191], device='cuda:0') 100 0.0001 changing lr epoch 372, time 214.82, cls_loss 0.4915 cls_loss_mapping 0.0015 cls_loss_causal 0.4403 re_mapping 0.0089 re_causal 0.0211 /// teacc 98.86 lr 0.00010000 Epoch 374, weight, value: tensor([[-0.0718, -0.1529, -0.1076, ..., -0.0361, 0.0606, -0.1076], [-0.0797, -0.0925, -0.0870, ..., 0.0992, -0.0378, 0.2343], [ 0.0027, -0.0298, -0.0543, ..., -0.0061, -0.0146, -0.0814], ..., [ 0.0407, -0.1208, 0.1768, ..., 0.0418, -0.1203, 0.0651], [-0.0308, 0.0659, -0.1526, ..., -0.0526, 0.0191, -0.1139], [-0.0622, 0.0805, 0.0454, ..., -0.0624, -0.0496, -0.0365]], device='cuda:0'), grad: tensor([[-1.3940e-05, 4.8816e-05, 8.5890e-05, ..., 3.4642e-04, -3.7575e-04, 7.6628e-04], [-1.7989e-04, 1.7512e-04, 4.4847e-04, ..., -9.7466e-04, 3.7961e-06, -2.1019e-03], [ 1.1241e-04, 4.6206e-04, 8.1158e-04, ..., 2.9049e-03, 1.7893e-04, 3.5715e-04], ..., [-2.9802e-04, 8.4019e-04, 1.1263e-03, ..., 3.7270e-03, 6.7838e-06, 1.1015e-03], [ 1.2374e-04, 2.9087e-05, 1.2290e-04, ..., 9.1696e-04, 1.5259e-05, 2.8748e-02], [-1.9252e-04, 1.6236e-04, 3.4142e-04, ..., -3.1605e-03, 1.7107e-05, -3.3600e-02]], device='cuda:0') Epoch 374, bias, value: tensor([-0.0275, 0.0414, -0.0013, -0.0103, 0.0230, -0.0295, 0.0013, 0.0038, -0.0042, -0.0156], device='cuda:0'), grad: tensor([ 0.0131, -0.0102, 0.0265, 0.0005, -0.0069, -0.0158, 0.0224, -0.0054, 0.0174, -0.0416], device='cuda:0') 100 0.0001 changing lr epoch 373, time 214.79, cls_loss 0.5109 cls_loss_mapping 0.0025 cls_loss_causal 0.4517 re_mapping 0.0084 re_causal 0.0199 /// teacc 98.89 lr 0.00010000 Epoch 375, weight, value: tensor([[-0.0720, -0.1528, -0.1077, ..., -0.0362, 0.0606, -0.1078], [-0.0790, -0.0919, -0.0863, ..., 0.1001, -0.0385, 0.2344], [ 0.0032, -0.0297, -0.0547, ..., -0.0059, -0.0150, -0.0811], ..., [ 0.0400, -0.1207, 0.1766, ..., 0.0408, -0.1208, 0.0648], [-0.0293, 0.0662, -0.1531, ..., -0.0523, 0.0193, -0.1164], [-0.0616, 0.0798, 0.0450, ..., -0.0621, -0.0497, -0.0354]], device='cuda:0'), grad: tensor([[ 0.0009, 0.0007, 0.0002, ..., 0.0016, 0.0038, 0.0007], [ 0.0015, 0.0009, 0.0003, ..., 0.0021, 0.0004, 0.0009], [ 0.0021, 0.0014, 0.0003, ..., 0.0029, 0.0233, 0.0061], ..., [-0.0080, -0.0048, -0.0024, ..., -0.0075, -0.0019, -0.0075], [ 0.0045, 0.0027, 0.0001, ..., 0.0047, 0.0029, 0.0011], [ 0.0032, 0.0025, 0.0006, ..., 0.0042, 0.0005, 0.0027]], device='cuda:0') Epoch 375, bias, value: tensor([-0.0275, 0.0411, -0.0014, -0.0107, 0.0239, -0.0309, 0.0021, 0.0032, -0.0035, -0.0152], device='cuda:0'), grad: tensor([ 0.0192, 0.0189, 0.0365, 0.0174, -0.0167, 0.0115, -0.0753, -0.0502, 0.0040, 0.0346], device='cuda:0') 100 0.0001 changing lr epoch 374, time 214.53, cls_loss 0.5199 cls_loss_mapping 0.0023 cls_loss_causal 0.4486 re_mapping 0.0086 re_causal 0.0213 /// teacc 98.76 lr 0.00010000 Epoch 376, weight, value: tensor([[-0.0724, -0.1538, -0.1081, ..., -0.0363, 0.0607, -0.1059], [-0.0799, -0.0924, -0.0872, ..., 0.0996, -0.0386, 0.2343], [ 0.0030, -0.0298, -0.0550, ..., -0.0053, -0.0162, -0.0818], ..., [ 0.0399, -0.1209, 0.1767, ..., 0.0409, -0.1214, 0.0644], [-0.0287, 0.0667, -0.1524, ..., -0.0528, 0.0192, -0.1180], [-0.0629, 0.0813, 0.0446, ..., -0.0634, -0.0495, -0.0367]], device='cuda:0'), grad: tensor([[-1.5526e-03, -5.1594e-04, -3.4285e-04, ..., -5.3787e-04, -1.5569e-04, -2.3961e-04], [ 2.0117e-05, 2.1088e-04, 3.6269e-05, ..., 5.5790e-04, 2.9691e-06, 3.7766e-04], [ 1.7834e-04, 2.3305e-04, 1.8322e-04, ..., 4.9305e-04, 4.6372e-05, 2.8777e-04], ..., [-2.8953e-05, 7.0035e-05, -6.0320e-04, ..., 7.2956e-05, 6.1095e-06, -1.0896e-04], [ 2.3246e-04, 1.5430e-03, 3.0518e-04, ..., 3.5324e-03, 2.5123e-05, 2.5234e-03], [ 8.5473e-05, -4.1733e-03, 7.7486e-05, ..., 6.1846e-04, 1.5095e-05, 4.1747e-04]], device='cuda:0') Epoch 376, bias, value: tensor([-0.0278, 0.0417, -0.0012, -0.0106, 0.0230, -0.0312, 0.0032, 0.0034, -0.0033, -0.0160], device='cuda:0'), grad: tensor([ 0.0006, 0.0036, 0.0173, -0.0281, 0.0215, 0.0140, -0.0131, -0.0165, 0.0133, -0.0127], device='cuda:0') 100 0.0001 changing lr epoch 375, time 214.66, cls_loss 0.5050 cls_loss_mapping 0.0046 cls_loss_causal 0.4531 re_mapping 0.0086 re_causal 0.0205 /// teacc 98.88 lr 0.00010000 Epoch 377, weight, value: tensor([[-0.0723, -0.1537, -0.1084, ..., -0.0364, 0.0597, -0.1055], [-0.0798, -0.0917, -0.0881, ..., 0.0998, -0.0397, 0.2336], [ 0.0034, -0.0295, -0.0557, ..., -0.0059, -0.0128, -0.0817], ..., [ 0.0397, -0.1208, 0.1784, ..., 0.0413, -0.1218, 0.0646], [-0.0292, 0.0663, -0.1521, ..., -0.0527, 0.0183, -0.1187], [-0.0622, 0.0814, 0.0436, ..., -0.0639, -0.0499, -0.0358]], device='cuda:0'), grad: tensor([[ 1.9586e-04, 1.1480e-04, 1.5163e-04, ..., 1.0996e-03, 3.8385e-05, 4.6563e-04], [ 8.7619e-05, 3.5793e-05, 4.6194e-05, ..., -3.7041e-03, 4.0770e-05, -2.1782e-03], [-1.2798e-03, 2.4271e-04, 1.2290e-04, ..., -1.4048e-03, -4.4584e-04, 7.1108e-05], ..., [ 1.0490e-04, 2.0730e-04, -7.1526e-04, ..., 1.8911e-03, 2.9534e-05, -3.4642e-04], [ 6.7174e-05, -4.6015e-04, 1.8859e-04, ..., 1.4391e-03, 4.0121e-06, 5.0497e-04], [ 2.1362e-04, 2.3186e-04, 4.7016e-04, ..., 1.1759e-03, 4.0323e-05, 3.0828e-04]], device='cuda:0') Epoch 377, bias, value: tensor([-0.0279, 0.0425, -0.0016, -0.0104, 0.0229, -0.0307, 0.0025, 0.0041, -0.0043, -0.0160], device='cuda:0'), grad: tensor([ 0.0077, 0.0046, -0.0399, -0.0366, 0.0226, 0.0217, -0.0183, 0.0157, 0.0092, 0.0133], device='cuda:0') 100 0.0001 changing lr epoch 376, time 214.64, cls_loss 0.5240 cls_loss_mapping 0.0024 cls_loss_causal 0.4583 re_mapping 0.0088 re_causal 0.0217 /// teacc 98.79 lr 0.00010000 Epoch 378, weight, value: tensor([[-0.0728, -0.1535, -0.1098, ..., -0.0375, 0.0587, -0.1059], [-0.0810, -0.0920, -0.0899, ..., 0.1000, -0.0405, 0.2344], [ 0.0035, -0.0304, -0.0566, ..., -0.0065, -0.0128, -0.0823], ..., [ 0.0395, -0.1202, 0.1782, ..., 0.0404, -0.1215, 0.0648], [-0.0292, 0.0661, -0.1527, ..., -0.0523, 0.0193, -0.1182], [-0.0625, 0.0813, 0.0432, ..., -0.0623, -0.0501, -0.0366]], device='cuda:0'), grad: tensor([[-1.5411e-03, -3.9139e-03, 2.4006e-05, ..., -5.8899e-03, 5.2404e-04, -1.2482e-02], [ 2.3041e-03, 3.2131e-06, -4.6760e-05, ..., -3.4485e-03, 9.1732e-05, 8.2550e-03], [-4.2877e-03, 9.5904e-05, -6.8665e-04, ..., 6.9618e-03, 5.5701e-05, -4.5180e-04], ..., [ 5.7316e-04, 5.1200e-05, 4.7493e-04, ..., -6.0501e-03, -1.9398e-03, 1.0490e-03], [ 2.5630e-04, 7.3195e-04, -1.2174e-05, ..., 1.7376e-03, 7.2181e-05, 8.2445e-04], [ 4.8470e-04, 2.9850e-03, 3.2753e-05, ..., -5.0964e-03, 5.4806e-05, 2.0981e-05]], device='cuda:0') Epoch 378, bias, value: tensor([-0.0283, 0.0420, -0.0024, -0.0110, 0.0226, -0.0297, 0.0022, 0.0048, -0.0032, -0.0159], device='cuda:0'), grad: tensor([-0.0920, 0.0159, 0.0355, 0.0162, 0.0305, -0.0076, 0.0400, -0.0852, 0.0317, 0.0149], device='cuda:0') 100 0.0001 changing lr epoch 377, time 214.75, cls_loss 0.5187 cls_loss_mapping 0.0028 cls_loss_causal 0.4612 re_mapping 0.0085 re_causal 0.0202 /// teacc 98.87 lr 0.00010000 Epoch 379, weight, value: tensor([[-0.0722, -0.1529, -0.1113, ..., -0.0378, 0.0593, -0.1056], [-0.0809, -0.0934, -0.0911, ..., 0.1000, -0.0411, 0.2346], [ 0.0045, -0.0303, -0.0577, ..., -0.0064, -0.0132, -0.0812], ..., [ 0.0398, -0.1214, 0.1790, ..., 0.0415, -0.1226, 0.0641], [-0.0291, 0.0650, -0.1515, ..., -0.0524, 0.0191, -0.1184], [-0.0630, 0.0820, 0.0422, ..., -0.0628, -0.0503, -0.0356]], device='cuda:0'), grad: tensor([[ 7.2360e-05, 2.6077e-07, 3.8184e-08, ..., 4.5896e-04, -1.5097e-03, 1.6842e-03], [ 5.3024e-04, -9.6917e-05, -7.1190e-06, ..., 3.1643e-03, 8.8751e-05, 1.5202e-03], [ 2.4962e-04, 2.8722e-06, 4.8764e-06, ..., 2.4567e-03, 9.7811e-05, 1.2064e-03], ..., [ 3.9649e-04, 5.5023e-06, -1.0139e-04, ..., 3.3073e-03, 1.7488e-04, 1.5850e-03], [-4.3259e-03, 6.5327e-05, 4.6045e-05, ..., 1.3428e-03, 8.2791e-05, 1.1616e-03], [ 4.6825e-04, 5.3942e-05, 8.9481e-06, ..., 2.8133e-03, 2.1899e-04, 1.3990e-03]], device='cuda:0') Epoch 379, bias, value: tensor([-0.0289, 0.0423, -0.0020, -0.0105, 0.0218, -0.0294, 0.0022, 0.0062, -0.0048, -0.0160], device='cuda:0'), grad: tensor([-0.0108, 0.0199, 0.0170, -0.0114, 0.0015, -0.0082, -0.0018, 0.0206, -0.0376, 0.0108], device='cuda:0') 100 0.0001 changing lr epoch 378, time 214.79, cls_loss 0.5364 cls_loss_mapping 0.0031 cls_loss_causal 0.4723 re_mapping 0.0087 re_causal 0.0212 /// teacc 98.83 lr 0.00010000 Epoch 380, weight, value: tensor([[-0.0733, -0.1540, -0.1118, ..., -0.0391, 0.0600, -0.1057], [-0.0799, -0.0930, -0.0898, ..., 0.1000, -0.0419, 0.2344], [ 0.0047, -0.0300, -0.0574, ..., -0.0066, -0.0133, -0.0821], ..., [ 0.0398, -0.1222, 0.1795, ..., 0.0413, -0.1225, 0.0643], [-0.0277, 0.0654, -0.1507, ..., -0.0511, 0.0194, -0.1188], [-0.0634, 0.0814, 0.0413, ..., -0.0624, -0.0513, -0.0353]], device='cuda:0'), grad: tensor([[ 2.8229e-04, 1.7309e-04, -4.1428e-03, ..., -4.7455e-03, 6.0511e-04, 4.8208e-04], [-4.5013e-03, 2.3329e-04, -5.2929e-04, ..., 3.5095e-03, 1.1355e-05, 4.0398e-03], [ 3.8934e-04, -2.1130e-05, 6.6423e-04, ..., 1.4296e-03, 2.5436e-05, 5.9986e-04], ..., [ 1.7033e-03, 2.3115e-04, 1.0033e-03, ..., -2.5578e-03, 3.5048e-05, 5.2977e-04], [ 5.8365e-04, -3.8838e-04, 5.1165e-04, ..., 6.4516e-04, 4.9382e-05, 1.6749e-04], [ 9.9754e-04, 2.0897e-04, 1.0900e-03, ..., 2.0447e-03, 4.4155e-04, 1.2503e-03]], device='cuda:0') Epoch 380, bias, value: tensor([-0.0295, 0.0419, -0.0021, -0.0094, 0.0218, -0.0298, 0.0024, 0.0057, -0.0040, -0.0162], device='cuda:0'), grad: tensor([ 0.0126, 0.0095, 0.0173, 0.0285, -0.0129, 0.0189, -0.0698, 0.0070, -0.0043, -0.0066], device='cuda:0') 100 0.0001 changing lr epoch 379, time 214.58, cls_loss 0.5259 cls_loss_mapping 0.0027 cls_loss_causal 0.4594 re_mapping 0.0083 re_causal 0.0202 /// teacc 98.85 lr 0.00010000 Epoch 381, weight, value: tensor([[-0.0733, -0.1544, -0.1123, ..., -0.0385, 0.0604, -0.1058], [-0.0805, -0.0932, -0.0908, ..., 0.1001, -0.0421, 0.2338], [ 0.0053, -0.0303, -0.0562, ..., -0.0063, -0.0128, -0.0813], ..., [ 0.0391, -0.1233, 0.1793, ..., 0.0411, -0.1224, 0.0635], [-0.0280, 0.0657, -0.1498, ..., -0.0499, 0.0195, -0.1181], [-0.0616, 0.0822, 0.0396, ..., -0.0630, -0.0512, -0.0353]], device='cuda:0'), grad: tensor([[ 9.3132e-10, -3.4404e-04, 1.2014e-06, ..., -2.1954e-03, 0.0000e+00, 3.4068e-06], [ 0.0000e+00, 3.7527e-04, 2.0154e-06, ..., 6.6233e-04, 0.0000e+00, -3.8385e-05], [ 2.0489e-08, 5.0592e-04, 5.7891e-06, ..., 7.1192e-04, 0.0000e+00, 3.3882e-06], ..., [ 9.3132e-10, 3.2568e-04, -6.2305e-07, ..., 4.2295e-04, 0.0000e+00, -7.8604e-06], [-9.4064e-08, -1.3733e-03, 2.2985e-06, ..., -1.6661e-03, 0.0000e+00, 2.5313e-06], [ 2.7940e-09, -2.9230e-04, 1.0924e-06, ..., 5.6410e-04, 0.0000e+00, 4.8988e-06]], device='cuda:0') Epoch 381, bias, value: tensor([-0.0290, 0.0412, -0.0016, -0.0102, 0.0219, -0.0311, 0.0030, 0.0056, -0.0032, -0.0158], device='cuda:0'), grad: tensor([-0.0596, -0.0102, 0.0238, 0.0227, 0.0220, -0.0589, 0.0340, 0.0220, -0.0072, 0.0113], device='cuda:0') 100 0.0001 changing lr epoch 380, time 214.88, cls_loss 0.5105 cls_loss_mapping 0.0027 cls_loss_causal 0.4426 re_mapping 0.0088 re_causal 0.0210 /// teacc 98.86 lr 0.00010000 Epoch 382, weight, value: tensor([[-0.0730, -0.1551, -0.1115, ..., -0.0385, 0.0592, -0.1058], [-0.0791, -0.0913, -0.0899, ..., 0.1016, -0.0415, 0.2346], [ 0.0048, -0.0303, -0.0570, ..., -0.0061, -0.0129, -0.0817], ..., [ 0.0381, -0.1223, 0.1789, ..., 0.0407, -0.1225, 0.0616], [-0.0276, 0.0652, -0.1502, ..., -0.0508, 0.0196, -0.1189], [-0.0611, 0.0833, 0.0402, ..., -0.0628, -0.0517, -0.0344]], device='cuda:0'), grad: tensor([[ 1.0118e-03, 9.9912e-06, 1.0155e-05, ..., 2.5959e-03, 9.7137e-07, 1.5283e-04], [ 9.5415e-04, 5.7787e-05, 6.0052e-05, ..., 2.5349e-03, 3.3528e-08, 2.8205e-04], [ 1.5211e-03, 2.8517e-06, 3.0100e-05, ..., 2.9774e-03, 2.3190e-07, 3.4308e-04], ..., [ 1.5163e-03, 1.9461e-05, -3.7730e-05, ..., 1.4710e-04, 8.0094e-08, -1.4293e-04], [ 8.9550e-04, 1.0132e-02, 1.5512e-05, ..., 2.0351e-03, 2.4643e-06, 2.0707e-04], [ 7.0429e-04, 4.3780e-05, 2.9826e-04, ..., -8.6689e-04, 4.1537e-07, 8.8453e-04]], device='cuda:0') Epoch 382, bias, value: tensor([-0.0293, 0.0419, -0.0008, -0.0101, 0.0212, -0.0318, 0.0032, 0.0062, -0.0047, -0.0149], device='cuda:0'), grad: tensor([ 0.0157, 0.0145, -0.0024, -0.0122, -0.0237, 0.0124, 0.0061, -0.0142, 0.0172, -0.0134], device='cuda:0') 100 0.0001 changing lr epoch 381, time 214.92, cls_loss 0.4762 cls_loss_mapping 0.0020 cls_loss_causal 0.4151 re_mapping 0.0085 re_causal 0.0202 /// teacc 98.83 lr 0.00010000 Epoch 383, weight, value: tensor([[-0.0728, -0.1547, -0.1127, ..., -0.0374, 0.0590, -0.1060], [-0.0801, -0.0930, -0.0886, ..., 0.1005, -0.0406, 0.2356], [ 0.0041, -0.0282, -0.0594, ..., -0.0065, -0.0130, -0.0828], ..., [ 0.0368, -0.1214, 0.1794, ..., 0.0405, -0.1229, 0.0615], [-0.0285, 0.0643, -0.1491, ..., -0.0508, 0.0196, -0.1194], [-0.0616, 0.0833, 0.0409, ..., -0.0626, -0.0520, -0.0343]], device='cuda:0'), grad: tensor([[-2.7180e-04, 3.1376e-04, 3.2131e-06, ..., 1.3332e-03, 8.3148e-05, 3.9029e-04], [ 2.5487e-04, 1.9431e-05, -3.3021e-05, ..., -2.2926e-03, 2.3633e-05, -3.1757e-03], [ 6.0892e-04, 2.5964e-04, 4.9211e-06, ..., 2.2850e-03, 1.1164e-04, 1.5986e-04], ..., [-2.0099e-04, 2.4843e-04, -4.6939e-05, ..., -2.9850e-03, -4.1437e-04, 3.8123e-04], [ 3.4428e-04, 7.8630e-04, 6.3106e-06, ..., 2.0943e-03, 1.7852e-05, 4.8876e-04], [ 3.5858e-04, 3.5763e-04, 3.9160e-05, ..., 1.1425e-03, 2.7478e-05, 4.0340e-04]], device='cuda:0') Epoch 383, bias, value: tensor([-0.0287, 0.0421, -0.0013, -0.0102, 0.0217, -0.0317, 0.0029, 0.0060, -0.0049, -0.0150], device='cuda:0'), grad: tensor([ 0.0200, -0.0384, 0.0301, -0.0416, -0.0053, -0.0039, 0.0294, -0.0097, 0.0278, -0.0084], device='cuda:0') 100 0.0001 changing lr epoch 382, time 214.86, cls_loss 0.5252 cls_loss_mapping 0.0023 cls_loss_causal 0.4561 re_mapping 0.0083 re_causal 0.0204 /// teacc 98.79 lr 0.00010000 Epoch 384, weight, value: tensor([[-0.0732, -0.1555, -0.1117, ..., -0.0381, 0.0592, -0.1061], [-0.0816, -0.0943, -0.0891, ..., 0.0993, -0.0422, 0.2355], [ 0.0038, -0.0287, -0.0598, ..., -0.0081, -0.0127, -0.0836], ..., [ 0.0370, -0.1214, 0.1799, ..., 0.0407, -0.1225, 0.0619], [-0.0296, 0.0640, -0.1492, ..., -0.0512, 0.0194, -0.1195], [-0.0604, 0.0836, 0.0409, ..., -0.0609, -0.0519, -0.0343]], device='cuda:0'), grad: tensor([[ 1.2589e-04, 1.9148e-05, 4.1395e-05, ..., -1.5926e-03, 2.4307e-04, 8.6904e-05], [ 4.6325e-04, -2.9251e-05, 2.0123e-04, ..., -1.8597e-03, 8.1635e-04, -3.6836e-04], [ 8.5115e-04, -2.1160e-04, 3.1739e-05, ..., 3.0918e-03, 3.0947e-04, 3.8433e-04], ..., [ 7.6103e-04, 1.3977e-05, 5.2065e-05, ..., -3.3302e-03, 1.5581e-04, -3.2997e-03], [-5.4512e-03, 1.1501e-03, -9.6798e-04, ..., -6.8588e-03, -2.9316e-03, 9.3985e-04], [ 4.8184e-04, 7.8455e-06, 1.6272e-04, ..., 3.4695e-03, 3.4332e-04, -1.1861e-04]], device='cuda:0') Epoch 384, bias, value: tensor([-0.0291, 0.0418, -0.0018, -0.0101, 0.0211, -0.0317, 0.0030, 0.0071, -0.0051, -0.0144], device='cuda:0'), grad: tensor([-0.0166, -0.0278, 0.0153, 0.0170, 0.0227, -0.0145, 0.0179, 0.0011, -0.0304, 0.0153], device='cuda:0') 100 0.0001 changing lr epoch 383, time 214.54, cls_loss 0.5078 cls_loss_mapping 0.0026 cls_loss_causal 0.4481 re_mapping 0.0083 re_causal 0.0195 /// teacc 98.73 lr 0.00010000 Epoch 385, weight, value: tensor([[-0.0734, -0.1572, -0.1121, ..., -0.0378, 0.0599, -0.1060], [-0.0819, -0.0939, -0.0889, ..., 0.0968, -0.0422, 0.2343], [ 0.0038, -0.0282, -0.0599, ..., -0.0071, -0.0131, -0.0850], ..., [ 0.0370, -0.1209, 0.1813, ..., 0.0412, -0.1222, 0.0631], [-0.0292, 0.0643, -0.1511, ..., -0.0516, 0.0194, -0.1184], [-0.0613, 0.0836, 0.0410, ..., -0.0618, -0.0523, -0.0355]], device='cuda:0'), grad: tensor([[ 2.5463e-04, 2.3797e-05, 3.7730e-05, ..., 2.9011e-03, 2.0218e-04, 1.9398e-03], [ 1.8179e-04, 6.8665e-05, 1.0580e-04, ..., 5.9700e-03, -2.2812e-03, 5.8899e-03], [ 2.8920e-04, 5.3018e-05, 8.2552e-05, ..., -1.8988e-03, 5.8937e-04, -2.8286e-03], ..., [ 2.7442e-04, 1.1415e-03, 1.7834e-03, ..., 3.7117e-03, 2.6417e-04, 5.2528e-03], [-8.8120e-04, 8.0049e-05, 1.2326e-04, ..., -1.6220e-02, 2.0468e-04, -9.5749e-03], [ 3.0303e-04, -2.3365e-03, -3.6316e-03, ..., 2.0180e-03, 3.4642e-04, 3.8815e-03]], device='cuda:0') Epoch 385, bias, value: tensor([-0.0298, 0.0412, -0.0012, -0.0113, 0.0217, -0.0303, 0.0029, 0.0072, -0.0047, -0.0149], device='cuda:0'), grad: tensor([ 0.0171, 0.0233, -0.0124, 0.0172, -0.0085, -0.0093, 0.0331, 0.0303, -0.0461, -0.0446], device='cuda:0') 100 0.0001 changing lr epoch 384, time 214.82, cls_loss 0.5528 cls_loss_mapping 0.0026 cls_loss_causal 0.4898 re_mapping 0.0085 re_causal 0.0208 /// teacc 98.83 lr 0.00010000 Epoch 386, weight, value: tensor([[-0.0730, -0.1568, -0.1126, ..., -0.0389, 0.0591, -0.1062], [-0.0829, -0.0928, -0.0889, ..., 0.0963, -0.0418, 0.2346], [ 0.0033, -0.0284, -0.0597, ..., -0.0061, -0.0141, -0.0845], ..., [ 0.0383, -0.1200, 0.1812, ..., 0.0408, -0.1218, 0.0618], [-0.0278, 0.0634, -0.1515, ..., -0.0508, 0.0197, -0.1191], [-0.0620, 0.0832, 0.0412, ..., -0.0622, -0.0527, -0.0335]], device='cuda:0'), grad: tensor([[ 2.9683e-04, 4.6730e-04, 5.0402e-04, ..., 3.2139e-03, 5.8699e-04, 1.2751e-03], [-2.5082e-03, -1.3456e-03, 6.6936e-05, ..., -2.9716e-03, -1.6642e-03, -7.6180e-03], [ 2.4021e-04, 1.2711e-02, -8.8120e-03, ..., -1.3962e-02, 5.6410e-04, -1.6220e-02], ..., [ 1.6403e-04, 1.4277e-03, 8.6899e-03, ..., 2.2430e-02, 3.0351e-04, 1.7212e-02], [ 9.1553e-04, 4.7455e-03, 1.5771e-04, ..., 8.4305e-03, 4.4250e-03, 1.1620e-02], [-4.6654e-03, -7.1945e-03, -1.8997e-03, ..., -1.8646e-02, 3.6573e-04, -1.4465e-02]], device='cuda:0') Epoch 386, bias, value: tensor([-0.0290, 0.0411, -0.0017, -0.0118, 0.0229, -0.0307, 0.0017, 0.0076, -0.0042, -0.0148], device='cuda:0'), grad: tensor([ 0.0303, -0.0287, -0.0479, -0.0113, 0.0495, 0.0281, -0.0261, 0.0388, 0.0815, -0.1141], device='cuda:0') 100 0.0001 changing lr epoch 385, time 215.05, cls_loss 0.5121 cls_loss_mapping 0.0015 cls_loss_causal 0.4435 re_mapping 0.0085 re_causal 0.0202 /// teacc 98.87 lr 0.00010000 Epoch 387, weight, value: tensor([[-0.0721, -0.1563, -0.1133, ..., -0.0391, 0.0606, -0.1070], [-0.0818, -0.0940, -0.0893, ..., 0.0962, -0.0422, 0.2348], [ 0.0033, -0.0287, -0.0580, ..., -0.0062, -0.0145, -0.0838], ..., [ 0.0379, -0.1213, 0.1809, ..., 0.0408, -0.1216, 0.0621], [-0.0280, 0.0637, -0.1518, ..., -0.0513, 0.0201, -0.1211], [-0.0618, 0.0841, 0.0408, ..., -0.0608, -0.0523, -0.0327]], device='cuda:0'), grad: tensor([[-1.3208e-03, 1.2803e-04, 3.5691e-04, ..., -3.1109e-03, -6.8724e-05, -1.7881e-07], [ 2.7905e-03, 4.9543e-04, 3.4630e-05, ..., 6.1035e-03, 2.5928e-06, -5.3085e-06], [ 8.6737e-04, 1.9276e-04, 8.6975e-04, ..., 1.0490e-02, -1.7853e-06, 3.0965e-05], ..., [ 2.4486e-04, 1.0502e-04, 1.6904e-04, ..., 2.1057e-03, 2.9709e-07, -2.1681e-05], [ 8.2245e-03, 1.1486e-04, 1.6057e-04, ..., -1.0399e-02, 6.1654e-07, 1.5562e-06], [ 2.9874e-04, 1.4186e-04, 1.7047e-04, ..., 1.8492e-03, 1.5059e-06, -1.0002e-04]], device='cuda:0') Epoch 387, bias, value: tensor([-0.0288, 0.0410, -0.0011, -0.0105, 0.0206, -0.0314, 0.0030, 0.0075, -0.0046, -0.0149], device='cuda:0'), grad: tensor([-0.0127, 0.0293, 0.0232, -0.0243, -0.0408, -0.0006, -0.0126, 0.0119, 0.0160, 0.0105], device='cuda:0') 100 0.0001 changing lr epoch 386, time 214.32, cls_loss 0.5403 cls_loss_mapping 0.0026 cls_loss_causal 0.4889 re_mapping 0.0078 re_causal 0.0194 /// teacc 98.88 lr 0.00010000 Epoch 388, weight, value: tensor([[-0.0737, -0.1569, -0.1121, ..., -0.0403, 0.0619, -0.1073], [-0.0813, -0.0937, -0.0895, ..., 0.0973, -0.0409, 0.2347], [ 0.0047, -0.0283, -0.0570, ..., -0.0056, -0.0128, -0.0838], ..., [ 0.0374, -0.1217, 0.1798, ..., 0.0395, -0.1217, 0.0613], [-0.0272, 0.0650, -0.1512, ..., -0.0493, 0.0202, -0.1204], [-0.0630, 0.0834, 0.0422, ..., -0.0619, -0.0550, -0.0320]], device='cuda:0'), grad: tensor([[ 2.5487e-04, 8.0061e-04, 2.6539e-05, ..., 2.0981e-03, -1.1435e-03, 1.0717e-04], [ 1.1225e-03, 2.0135e-06, 1.9044e-05, ..., 1.2703e-03, 1.4508e-04, -1.5316e-03], [ 4.7493e-04, 1.3277e-05, 1.1241e-04, ..., 2.5711e-03, 1.3626e-04, 1.8597e-04], ..., [-5.2261e-03, 4.3541e-05, -4.7607e-03, ..., -1.6876e-02, -1.2884e-03, -1.2712e-03], [ 5.3787e-04, 5.1212e-04, 1.3900e-04, ..., 2.2583e-03, 1.8764e-04, 2.7585e-04], [ 1.0042e-03, 1.5564e-03, 4.3640e-03, ..., 2.4548e-03, 2.6560e-04, 1.4849e-03]], device='cuda:0') Epoch 388, bias, value: tensor([-2.8841e-02, 4.2452e-02, -6.8343e-05, -1.0974e-02, 1.9718e-02, -3.1884e-02, 2.9449e-03, 6.6885e-03, -3.3665e-03, -1.5919e-02], device='cuda:0'), grad: tensor([ 1.0574e-02, 1.4023e-02, 1.5518e-02, -4.5410e-02, -1.6968e-02, 3.4668e-02, 1.9180e-02, -5.1361e-02, 1.9669e-02, 7.4625e-05], device='cuda:0') 100 0.0001 changing lr epoch 387, time 214.32, cls_loss 0.5148 cls_loss_mapping 0.0017 cls_loss_causal 0.4388 re_mapping 0.0082 re_causal 0.0203 /// teacc 98.84 lr 0.00010000 Epoch 389, weight, value: tensor([[-0.0727, -0.1576, -0.1103, ..., -0.0398, 0.0631, -0.1074], [-0.0814, -0.0930, -0.0894, ..., 0.0984, -0.0416, 0.2357], [ 0.0036, -0.0289, -0.0580, ..., -0.0065, -0.0121, -0.0854], ..., [ 0.0374, -0.1226, 0.1804, ..., 0.0402, -0.1226, 0.0617], [-0.0268, 0.0655, -0.1521, ..., -0.0498, 0.0197, -0.1208], [-0.0633, 0.0840, 0.0408, ..., -0.0627, -0.0552, -0.0331]], device='cuda:0'), grad: tensor([[ 2.3752e-05, 1.2884e-03, 9.7573e-05, ..., 6.9427e-03, -1.2531e-03, 2.2805e-04], [ 3.6597e-05, 4.4495e-05, 2.0752e-03, ..., 2.0733e-03, 1.9693e-04, -1.4048e-03], [-8.2374e-05, 9.3365e-04, 3.5152e-03, ..., 9.8877e-03, 7.0047e-04, 4.3678e-03], ..., [ 3.7104e-05, 3.6489e-06, -6.0806e-03, ..., -1.2405e-02, 1.6189e-04, -5.8823e-03], [ 5.7995e-05, 1.7703e-04, 1.4973e-04, ..., 8.1730e-04, 2.1458e-04, 8.8930e-05], [ 1.0110e-05, 4.5002e-05, 2.5272e-04, ..., 4.7874e-04, 1.6117e-04, 4.6182e-04]], device='cuda:0') Epoch 389, bias, value: tensor([-0.0294, 0.0427, -0.0007, -0.0100, 0.0200, -0.0306, 0.0022, 0.0062, -0.0028, -0.0167], device='cuda:0'), grad: tensor([-0.0064, 0.0088, 0.0182, -0.0493, 0.0061, 0.0066, 0.0082, -0.0080, 0.0076, 0.0082], device='cuda:0') 100 0.0001 changing lr epoch 388, time 214.21, cls_loss 0.5304 cls_loss_mapping 0.0043 cls_loss_causal 0.4642 re_mapping 0.0081 re_causal 0.0198 /// teacc 98.79 lr 0.00010000 Epoch 390, weight, value: tensor([[-0.0729, -0.1578, -0.1091, ..., -0.0390, 0.0640, -0.1069], [-0.0812, -0.0939, -0.0897, ..., 0.0985, -0.0425, 0.2366], [ 0.0031, -0.0286, -0.0581, ..., -0.0064, -0.0122, -0.0854], ..., [ 0.0374, -0.1224, 0.1811, ..., 0.0395, -0.1230, 0.0607], [-0.0271, 0.0641, -0.1528, ..., -0.0503, 0.0182, -0.1209], [-0.0630, 0.0846, 0.0408, ..., -0.0630, -0.0543, -0.0326]], device='cuda:0'), grad: tensor([[ 1.7767e-03, 4.1686e-06, 8.4686e-04, ..., 4.2496e-03, 2.6431e-06, 4.9820e-03], [ 2.5539e-03, 5.1677e-05, 7.5436e-04, ..., 6.8054e-03, 1.0245e-08, 3.5629e-03], [ 1.3924e-03, 8.3494e-04, 3.5248e-03, ..., 9.5596e-03, 5.2154e-08, 1.0414e-03], ..., [-3.5381e-03, 4.7612e-04, 1.5736e-04, ..., -1.1703e-02, 9.3132e-10, -1.0071e-02], [ 8.9884e-04, 3.1799e-05, 5.5790e-04, ..., 1.7319e-03, 5.7835e-07, 7.7343e-04], [ 1.6193e-03, 1.4208e-05, 6.9618e-05, ..., 5.5456e-04, 5.4017e-08, 3.7551e-04]], device='cuda:0') Epoch 390, bias, value: tensor([-3.0347e-02, 4.2891e-02, 4.1757e-05, -1.0039e-02, 2.0394e-02, -3.1797e-02, 2.1579e-03, 6.5624e-03, -2.6145e-03, -1.6630e-02], device='cuda:0'), grad: tensor([ 0.0360, 0.0287, 0.0436, -0.0231, -0.0665, -0.0083, -0.0407, -0.0272, 0.0313, 0.0261], device='cuda:0') 100 0.0001 changing lr epoch 389, time 214.26, cls_loss 0.5398 cls_loss_mapping 0.0030 cls_loss_causal 0.4760 re_mapping 0.0083 re_causal 0.0198 /// teacc 98.75 lr 0.00010000 Epoch 391, weight, value: tensor([[-0.0725, -0.1575, -0.1101, ..., -0.0385, 0.0645, -0.1068], [-0.0805, -0.0939, -0.0888, ..., 0.0989, -0.0415, 0.2369], [ 0.0032, -0.0296, -0.0591, ..., -0.0064, -0.0129, -0.0855], ..., [ 0.0369, -0.1195, 0.1821, ..., 0.0397, -0.1226, 0.0601], [-0.0283, 0.0639, -0.1529, ..., -0.0509, 0.0196, -0.1204], [-0.0630, 0.0833, 0.0409, ..., -0.0623, -0.0560, -0.0324]], device='cuda:0'), grad: tensor([[ 7.8535e-04, 1.0476e-05, 2.5487e-04, ..., 2.6512e-03, 6.7377e-04, 2.4376e-03], [ 7.3624e-04, 2.0847e-05, 4.3958e-05, ..., -1.8950e-03, 1.6189e-04, -1.1911e-03], [ 2.6417e-03, 1.3418e-05, 3.9744e-04, ..., 5.7640e-03, 3.9062e-03, 2.0385e-04], ..., [-1.1759e-03, 1.5938e-04, 1.1005e-03, ..., -9.3842e-03, -5.4588e-03, -4.0855e-03], [-6.0501e-03, 5.0583e-03, 3.0365e-03, ..., -2.1267e-03, -2.6093e-03, 3.9554e-04], [-1.9741e-03, 1.1599e-04, -2.0027e-03, ..., -7.8344e-04, 2.6441e-04, 1.7971e-05]], device='cuda:0') Epoch 391, bias, value: tensor([-3.0113e-02, 4.2971e-02, -3.3338e-05, -1.0680e-02, 2.1779e-02, -3.2027e-02, 1.9074e-03, 6.7073e-03, -3.0853e-03, -1.6813e-02], device='cuda:0'), grad: tensor([ 0.0139, -0.0182, 0.0246, 0.0246, 0.0182, 0.0389, 0.0191, -0.0541, -0.0280, -0.0390], device='cuda:0') 100 0.0001 changing lr epoch 390, time 214.59, cls_loss 0.5103 cls_loss_mapping 0.0029 cls_loss_causal 0.4399 re_mapping 0.0087 re_causal 0.0198 /// teacc 98.72 lr 0.00010000 Epoch 392, weight, value: tensor([[-0.0733, -0.1569, -0.1105, ..., -0.0382, 0.0648, -0.1081], [-0.0806, -0.0943, -0.0896, ..., 0.0986, -0.0400, 0.2370], [ 0.0028, -0.0306, -0.0596, ..., -0.0068, -0.0137, -0.0847], ..., [ 0.0360, -0.1191, 0.1821, ..., 0.0396, -0.1222, 0.0607], [-0.0284, 0.0652, -0.1525, ..., -0.0514, 0.0197, -0.1213], [-0.0614, 0.0832, 0.0413, ..., -0.0619, -0.0567, -0.0324]], device='cuda:0'), grad: tensor([[ 1.2083e-03, 1.7118e-04, 8.7440e-05, ..., 1.0834e-03, 2.6112e-03, 6.7711e-04], [ 4.1103e-04, 3.2711e-04, 1.0855e-05, ..., 4.8351e-04, 1.1224e-04, -1.3673e-04], [ 1.2839e-04, 1.5235e-04, 2.6211e-05, ..., -4.0932e-03, 1.2922e-04, -1.4715e-03], ..., [ 2.3413e-04, 2.5797e-04, 1.8358e-04, ..., 5.3072e-04, 9.2924e-05, 5.5122e-04], [-1.7014e-03, 2.9083e-02, 2.7299e-04, ..., -2.2449e-03, 2.3091e-04, -3.1338e-03], [ 1.6727e-03, 2.2173e-04, 2.5845e-03, ..., 5.8594e-03, 2.4247e-04, 2.3937e-03]], device='cuda:0') Epoch 392, bias, value: tensor([-0.0310, 0.0420, -0.0009, -0.0109, 0.0226, -0.0316, 0.0014, 0.0077, -0.0026, -0.0162], device='cuda:0'), grad: tensor([ 0.0248, -0.0138, -0.0434, 0.0195, -0.0097, 0.0142, -0.0314, 0.0166, -0.0145, 0.0377], device='cuda:0') 100 0.0001 changing lr epoch 391, time 214.58, cls_loss 0.5168 cls_loss_mapping 0.0030 cls_loss_causal 0.4605 re_mapping 0.0085 re_causal 0.0205 /// teacc 98.84 lr 0.00010000 Epoch 393, weight, value: tensor([[-0.0744, -0.1585, -0.1113, ..., -0.0384, 0.0645, -0.1084], [-0.0812, -0.0949, -0.0900, ..., 0.0979, -0.0388, 0.2365], [ 0.0021, -0.0303, -0.0591, ..., -0.0069, -0.0131, -0.0858], ..., [ 0.0385, -0.1189, 0.1817, ..., 0.0399, -0.1237, 0.0628], [-0.0287, 0.0655, -0.1528, ..., -0.0502, 0.0206, -0.1213], [-0.0618, 0.0835, 0.0419, ..., -0.0623, -0.0560, -0.0336]], device='cuda:0'), grad: tensor([[ 5.1297e-06, 4.0203e-05, 4.6968e-05, ..., 3.2997e-04, 1.3161e-03, 2.3508e-04], [ 6.8620e-06, 1.0246e-04, 3.9756e-05, ..., 4.1223e-04, 1.2560e-03, 2.5749e-04], [-3.6269e-05, 4.3094e-05, -4.8522e-07, ..., 4.2295e-04, 1.9197e-03, 3.2306e-04], ..., [ 5.5939e-05, 2.4462e-04, 4.1676e-04, ..., -2.1255e-04, 1.1301e-03, 1.3962e-03], [ 3.8743e-06, 1.1975e-04, 5.1320e-05, ..., 4.9067e-04, -1.3100e-02, 2.0885e-03], [ 1.8418e-05, 3.7670e-04, -8.0299e-04, ..., -1.4000e-03, 1.5068e-03, -1.7710e-03]], device='cuda:0') Epoch 393, bias, value: tensor([-0.0324, 0.0410, -0.0007, -0.0110, 0.0226, -0.0313, 0.0021, 0.0081, -0.0029, -0.0151], device='cuda:0'), grad: tensor([ 0.0144, 0.0197, 0.0244, 0.0210, -0.0351, 0.0249, 0.0215, -0.0322, -0.0299, -0.0287], device='cuda:0') 100 0.0001 changing lr epoch 392, time 214.49, cls_loss 0.5043 cls_loss_mapping 0.0026 cls_loss_causal 0.4454 re_mapping 0.0081 re_causal 0.0201 /// teacc 98.78 lr 0.00010000 Epoch 394, weight, value: tensor([[-0.0754, -0.1583, -0.1127, ..., -0.0380, 0.0641, -0.1082], [-0.0814, -0.0949, -0.0905, ..., 0.0976, -0.0386, 0.2375], [ 0.0033, -0.0308, -0.0590, ..., -0.0051, -0.0120, -0.0837], ..., [ 0.0398, -0.1200, 0.1823, ..., 0.0401, -0.1222, 0.0626], [-0.0286, 0.0666, -0.1533, ..., -0.0512, 0.0205, -0.1217], [-0.0630, 0.0835, 0.0421, ..., -0.0627, -0.0566, -0.0346]], device='cuda:0'), grad: tensor([[ 1.4658e-03, 1.1915e-04, 3.7050e-04, ..., 3.5019e-03, 9.1362e-04, 1.3380e-03], [-1.0223e-02, 2.8253e-05, -2.8992e-03, ..., -1.3588e-02, -2.0332e-03, -9.1324e-03], [ 1.0891e-03, 3.8385e-04, 5.9366e-04, ..., -3.2787e-03, 4.5180e-04, -2.3746e-03], ..., [ 2.2602e-03, 1.0949e-04, 1.0633e-03, ..., 3.7098e-03, 2.4724e-04, 3.9177e-03], [-4.5662e-03, 1.8322e-04, 8.7452e-04, ..., 2.5597e-03, 2.6703e-04, 3.5267e-03], [ 3.2654e-03, 3.0804e-04, 1.7996e-03, ..., 3.7498e-03, 2.7561e-04, 5.8823e-03]], device='cuda:0') Epoch 394, bias, value: tensor([-0.0314, 0.0406, -0.0001, -0.0108, 0.0229, -0.0317, 0.0010, 0.0081, -0.0027, -0.0154], device='cuda:0'), grad: tensor([ 0.0278, -0.0955, -0.0167, 0.0114, -0.0061, 0.0135, 0.0191, 0.0465, 0.0014, -0.0014], device='cuda:0') 100 0.0001 changing lr epoch 393, time 214.53, cls_loss 0.5105 cls_loss_mapping 0.0029 cls_loss_causal 0.4473 re_mapping 0.0083 re_causal 0.0201 /// teacc 98.83 lr 0.00010000 Epoch 395, weight, value: tensor([[-0.0749, -0.1586, -0.1112, ..., -0.0364, 0.0637, -0.1076], [-0.0817, -0.0950, -0.0909, ..., 0.0982, -0.0383, 0.2386], [ 0.0030, -0.0313, -0.0587, ..., -0.0061, -0.0103, -0.0832], ..., [ 0.0402, -0.1202, 0.1813, ..., 0.0394, -0.1222, 0.0618], [-0.0280, 0.0669, -0.1540, ..., -0.0518, 0.0195, -0.1225], [-0.0639, 0.0835, 0.0434, ..., -0.0628, -0.0570, -0.0341]], device='cuda:0'), grad: tensor([[ 5.8670e-03, 8.0967e-04, -7.1449e-03, ..., 1.0231e-02, -7.2861e-03, 8.4610e-03], [-4.7607e-03, 4.8327e-04, -2.6817e-03, ..., 3.1796e-03, 1.7810e-04, -3.7880e-03], [ 1.6146e-03, 4.7660e-04, 8.6498e-04, ..., 1.5236e-02, 2.3460e-04, 1.7920e-03], ..., [ 1.1206e-03, 9.3997e-05, 3.9744e-04, ..., -9.7809e-03, 3.0518e-04, 1.4896e-03], [ 1.5869e-03, 5.4884e-04, 9.3174e-04, ..., 2.4185e-03, 4.2009e-04, 1.0519e-03], [ 1.0290e-03, 1.0878e-04, 7.4005e-04, ..., -1.8148e-03, 2.9159e-04, -8.1778e-04]], device='cuda:0') Epoch 395, bias, value: tensor([-0.0299, 0.0409, -0.0004, -0.0098, 0.0214, -0.0326, 0.0011, 0.0075, -0.0027, -0.0148], device='cuda:0'), grad: tensor([ 0.0129, -0.0012, 0.0304, 0.0248, -0.0414, -0.0318, 0.0329, 0.0063, -0.0159, -0.0171], device='cuda:0') 100 0.0001 changing lr epoch 394, time 214.41, cls_loss 0.4976 cls_loss_mapping 0.0038 cls_loss_causal 0.4470 re_mapping 0.0085 re_causal 0.0203 /// teacc 98.86 lr 0.00010000 Epoch 396, weight, value: tensor([[-0.0748, -0.1595, -0.1103, ..., -0.0366, 0.0631, -0.1095], [-0.0821, -0.0938, -0.0924, ..., 0.0982, -0.0390, 0.2400], [ 0.0027, -0.0335, -0.0591, ..., -0.0078, -0.0107, -0.0842], ..., [ 0.0401, -0.1208, 0.1819, ..., 0.0395, -0.1234, 0.0625], [-0.0281, 0.0672, -0.1532, ..., -0.0507, 0.0203, -0.1219], [-0.0644, 0.0827, 0.0437, ..., -0.0624, -0.0565, -0.0349]], device='cuda:0'), grad: tensor([[-1.4845e-06, 7.2062e-05, 3.3879e-04, ..., 1.4877e-03, -1.0282e-06, 6.2227e-04], [ 2.4557e-05, 6.7234e-05, 4.2582e-04, ..., 9.8991e-04, 3.5390e-08, 2.0766e-04], [-1.2836e-03, -4.8828e-03, -1.9798e-03, ..., -3.6259e-03, 3.0827e-07, -1.8158e-03], ..., [ 1.5759e-04, 9.0265e-04, 4.2009e-04, ..., 1.0567e-03, 6.7614e-07, 5.4169e-04], [ 6.1321e-04, -1.3893e-02, 1.3227e-03, ..., 3.4924e-03, 2.3153e-06, 1.6298e-03], [ 4.5925e-05, 2.9602e-02, 1.0681e-02, ..., 6.1846e-04, 3.3900e-07, 3.5405e-04]], device='cuda:0') Epoch 396, bias, value: tensor([-0.0293, 0.0407, -0.0010, -0.0101, 0.0210, -0.0331, 0.0025, 0.0076, -0.0027, -0.0150], device='cuda:0'), grad: tensor([-0.0154, 0.0187, -0.0448, -0.0229, -0.0044, 0.0232, -0.0007, 0.0171, 0.0068, 0.0226], device='cuda:0') 100 0.0001 changing lr epoch 395, time 214.33, cls_loss 0.5284 cls_loss_mapping 0.0018 cls_loss_causal 0.4681 re_mapping 0.0078 re_causal 0.0197 /// teacc 98.80 lr 0.00010000 Epoch 397, weight, value: tensor([[-0.0753, -0.1611, -0.1110, ..., -0.0376, 0.0643, -0.1094], [-0.0830, -0.0945, -0.0912, ..., 0.0985, -0.0394, 0.2390], [ 0.0025, -0.0330, -0.0614, ..., -0.0072, -0.0111, -0.0836], ..., [ 0.0394, -0.1202, 0.1832, ..., 0.0387, -0.1230, 0.0627], [-0.0286, 0.0670, -0.1529, ..., -0.0501, 0.0183, -0.1221], [-0.0642, 0.0805, 0.0424, ..., -0.0622, -0.0540, -0.0344]], device='cuda:0'), grad: tensor([[ 6.2406e-05, 3.5137e-05, 3.7289e-04, ..., 1.7118e-03, 1.5891e-04, 1.2074e-03], [ 8.1587e-04, 2.1231e-04, 2.8954e-03, ..., 7.5073e-03, 1.0496e-04, 1.2352e-02], [ 1.2121e-03, 2.3270e-03, 1.4668e-03, ..., 3.6106e-03, 2.7752e-04, 1.9588e-03], ..., [ 9.1314e-05, 1.8072e-04, 4.8876e-04, ..., -3.2253e-03, 1.7643e-04, 3.7441e-03], [ 6.8045e-04, 1.1082e-03, 1.1559e-03, ..., 3.3054e-03, 1.4663e-04, -1.6602e-02], [ 1.0139e-04, 7.7248e-05, 4.8923e-04, ..., 1.6899e-03, 1.1659e-04, 2.5940e-03]], device='cuda:0') Epoch 397, bias, value: tensor([-0.0304, 0.0419, -0.0013, -0.0109, 0.0213, -0.0333, 0.0034, 0.0068, -0.0030, -0.0139], device='cuda:0'), grad: tensor([-0.0399, 0.0595, 0.0312, -0.0471, -0.0258, 0.0166, -0.0089, -0.0069, -0.0029, 0.0242], device='cuda:0') 100 0.0001 changing lr epoch 396, time 214.17, cls_loss 0.5032 cls_loss_mapping 0.0017 cls_loss_causal 0.4429 re_mapping 0.0082 re_causal 0.0203 /// teacc 98.79 lr 0.00010000 Epoch 398, weight, value: tensor([[-0.0759, -0.1623, -0.1120, ..., -0.0380, 0.0648, -0.1102], [-0.0826, -0.0952, -0.0904, ..., 0.0997, -0.0390, 0.2393], [ 0.0036, -0.0334, -0.0615, ..., -0.0070, -0.0110, -0.0834], ..., [ 0.0391, -0.1194, 0.1830, ..., 0.0384, -0.1233, 0.0622], [-0.0289, 0.0684, -0.1529, ..., -0.0493, 0.0187, -0.1212], [-0.0647, 0.0809, 0.0431, ..., -0.0631, -0.0541, -0.0345]], device='cuda:0'), grad: tensor([[ 5.7316e-04, 1.8412e-06, 1.2934e-04, ..., 1.8349e-03, -2.6271e-05, 1.5032e-04], [-4.9305e-04, 6.5863e-05, -1.6165e-03, ..., -9.6664e-03, 3.1758e-07, -2.4915e-04], [ 3.5930e-04, 2.7671e-05, 2.6608e-04, ..., 3.1853e-03, 2.6505e-06, 2.0337e-04], ..., [ 2.7680e-04, 2.8998e-05, 2.6369e-04, ..., 2.4681e-03, 3.4738e-07, 1.0526e-04], [ 6.8069e-05, 3.1382e-05, 1.5104e-04, ..., -4.7455e-03, 1.1893e-06, 1.2875e-04], [ 3.0351e-04, 2.5168e-05, 1.9038e-04, ..., 1.7843e-03, 2.5369e-06, 7.0632e-05]], device='cuda:0') Epoch 398, bias, value: tensor([-0.0311, 0.0408, -0.0012, -0.0101, 0.0202, -0.0344, 0.0043, 0.0076, -0.0025, -0.0132], device='cuda:0'), grad: tensor([ 0.0119, -0.0140, 0.0161, -0.0161, -0.0172, 0.0129, 0.0269, 0.0148, -0.0180, -0.0173], device='cuda:0') 100 0.0001 changing lr epoch 397, time 214.27, cls_loss 0.5143 cls_loss_mapping 0.0023 cls_loss_causal 0.4465 re_mapping 0.0082 re_causal 0.0196 /// teacc 98.88 lr 0.00010000 Epoch 399, weight, value: tensor([[-0.0743, -0.1616, -0.1109, ..., -0.0369, 0.0655, -0.1109], [-0.0823, -0.0961, -0.0898, ..., 0.1005, -0.0390, 0.2407], [ 0.0019, -0.0330, -0.0628, ..., -0.0073, -0.0108, -0.0844], ..., [ 0.0385, -0.1205, 0.1838, ..., 0.0381, -0.1252, 0.0626], [-0.0275, 0.0684, -0.1536, ..., -0.0487, 0.0179, -0.1208], [-0.0640, 0.0811, 0.0422, ..., -0.0633, -0.0537, -0.0353]], device='cuda:0'), grad: tensor([[ 5.2357e-04, 1.7881e-06, 2.7714e-03, ..., 1.9484e-03, 2.6435e-05, 2.9945e-03], [ 3.7527e-04, 1.6894e-06, -1.9407e-04, ..., 7.2050e-04, 2.2399e-04, 3.0732e-04], [ 4.9734e-04, 3.2723e-05, 9.0361e-04, ..., 2.8419e-04, -1.2045e-03, 1.4362e-03], ..., [ 9.1505e-04, 3.8791e-04, -6.0616e-03, ..., 4.0588e-03, 1.3880e-05, 7.7477e-03], [ 6.3667e-03, -3.7134e-05, 4.5323e-04, ..., 3.9062e-03, 2.1443e-05, 1.5764e-03], [-8.1329e-03, -4.5705e-04, -9.5320e-04, ..., -8.7662e-03, 1.8869e-06, -1.2733e-02]], device='cuda:0') Epoch 399, bias, value: tensor([-0.0304, 0.0409, -0.0021, -0.0110, 0.0214, -0.0342, 0.0038, 0.0069, -0.0014, -0.0135], device='cuda:0'), grad: tensor([ 0.0154, 0.0092, 0.0099, 0.0116, -0.0178, 0.0156, -0.0166, 0.0103, 0.0252, -0.0627], device='cuda:0') 100 0.0001 changing lr epoch 398, time 214.27, cls_loss 0.5264 cls_loss_mapping 0.0028 cls_loss_causal 0.4678 re_mapping 0.0084 re_causal 0.0207 /// teacc 98.86 lr 0.00010000 Epoch 400, weight, value: tensor([[-0.0745, -0.1635, -0.1112, ..., -0.0370, 0.0653, -0.1112], [-0.0824, -0.0958, -0.0886, ..., 0.1000, -0.0383, 0.2406], [ 0.0005, -0.0341, -0.0626, ..., -0.0080, -0.0092, -0.0849], ..., [ 0.0382, -0.1190, 0.1843, ..., 0.0386, -0.1242, 0.0621], [-0.0251, 0.0676, -0.1526, ..., -0.0481, 0.0179, -0.1204], [-0.0638, 0.0825, 0.0416, ..., -0.0644, -0.0536, -0.0353]], device='cuda:0'), grad: tensor([[ 2.9540e-04, -2.5070e-02, -2.3403e-03, ..., 1.1110e-03, 3.4666e-04, 2.0802e-04], [ 1.8902e-03, 2.3899e-03, 4.4513e-04, ..., 2.9869e-03, 5.2071e-04, 1.0290e-03], [ 4.1127e-04, 1.8234e-02, 4.2801e-03, ..., 1.2121e-03, 1.7130e-04, 2.0134e-04], ..., [ 1.0262e-03, 1.2140e-03, -5.4207e-03, ..., 1.9932e-03, 1.8466e-04, 3.7146e-04], [-6.3629e-03, -3.1834e-03, 3.6502e-04, ..., -1.1871e-02, -1.3582e-05, -2.6436e-03], [ 8.2970e-04, 1.6003e-03, 5.0163e-04, ..., 1.7719e-03, 3.6025e-04, 4.7350e-04]], device='cuda:0') Epoch 400, bias, value: tensor([-0.0300, 0.0405, -0.0021, -0.0107, 0.0206, -0.0341, 0.0043, 0.0074, -0.0014, -0.0139], device='cuda:0'), grad: tensor([-0.0091, 0.0196, 0.0299, 0.0313, 0.0119, -0.0767, 0.0103, 0.0092, -0.0412, 0.0150], device='cuda:0') 100 0.0001 changing lr epoch 399, time 214.19, cls_loss 0.5172 cls_loss_mapping 0.0021 cls_loss_causal 0.4596 re_mapping 0.0083 re_causal 0.0195 /// teacc 98.88 lr 0.00001000 Epoch 401, weight, value: tensor([[-0.0748, -0.1627, -0.1106, ..., -0.0387, 0.0654, -0.1112], [-0.0838, -0.0954, -0.0888, ..., 0.0987, -0.0383, 0.2397], [ 0.0020, -0.0323, -0.0629, ..., -0.0071, -0.0098, -0.0825], ..., [ 0.0372, -0.1194, 0.1832, ..., 0.0389, -0.1247, 0.0618], [-0.0249, 0.0659, -0.1532, ..., -0.0471, 0.0176, -0.1185], [-0.0641, 0.0816, 0.0415, ..., -0.0651, -0.0534, -0.0362]], device='cuda:0'), grad: tensor([[ 2.2578e-04, 7.8297e-04, 2.3556e-04, ..., 1.6766e-03, 2.9254e-04, 2.4533e-04], [ 2.2278e-03, -1.4864e-05, 2.8324e-04, ..., 8.5068e-04, -1.4410e-03, -5.2595e-04], [ 3.6716e-04, 2.8496e-03, 1.0252e-03, ..., 3.4847e-03, 3.6836e-04, 1.1091e-03], ..., [-3.2940e-03, 1.6883e-05, -2.4166e-03, ..., -1.2566e-02, -1.4410e-03, -3.0136e-03], [ 1.1587e-03, 1.5316e-03, 1.2655e-03, ..., 4.4403e-03, 3.9458e-04, 2.3136e-03], [-7.7248e-04, -3.7785e-03, 3.6335e-04, ..., -1.0689e-02, 3.2663e-04, -1.5736e-03]], device='cuda:0') Epoch 401, bias, value: tensor([-0.0302, 0.0405, -0.0013, -0.0106, 0.0208, -0.0345, 0.0042, 0.0066, -0.0001, -0.0148], device='cuda:0'), grad: tensor([ 0.0209, -0.0217, 0.0315, 0.0170, 0.0200, 0.0098, 0.0372, -0.0793, 0.0083, -0.0438], device='cuda:0') 100 1e-05 changing lr epoch 400, time 214.46, cls_loss 0.5432 cls_loss_mapping 0.0018 cls_loss_causal 0.4772 re_mapping 0.0084 re_causal 0.0202 /// teacc 98.90 lr 0.00001000 Epoch 402, weight, value: tensor([[-0.0750, -0.1629, -0.1107, ..., -0.0388, 0.0654, -0.1112], [-0.0837, -0.0955, -0.0888, ..., 0.0986, -0.0382, 0.2397], [ 0.0023, -0.0323, -0.0629, ..., -0.0071, -0.0099, -0.0825], ..., [ 0.0371, -0.1196, 0.1832, ..., 0.0391, -0.1248, 0.0618], [-0.0251, 0.0658, -0.1534, ..., -0.0474, 0.0176, -0.1188], [-0.0640, 0.0818, 0.0416, ..., -0.0650, -0.0534, -0.0360]], device='cuda:0'), grad: tensor([[ 3.0324e-05, 2.0102e-05, -3.8052e-04, ..., -9.5062e-03, -6.6698e-05, -7.5493e-03], [ 5.5619e-06, 2.0728e-05, 9.4604e-04, ..., 2.5539e-03, 2.3320e-05, 5.4216e-04], [ 4.9353e-05, 2.3174e-04, -3.0956e-03, ..., -1.9627e-03, -9.1791e-04, 1.9855e-03], ..., [ 6.9022e-05, 1.5795e-04, 1.3008e-03, ..., 5.4359e-03, 3.7551e-05, 3.6736e-03], [ 3.0303e-04, 1.4944e-03, 1.0242e-03, ..., -1.2264e-03, 2.1711e-05, 2.4242e-03], [-1.4758e-04, -1.1969e-04, -2.8563e-04, ..., 1.0538e-03, 2.2262e-05, 2.2924e-04]], device='cuda:0') Epoch 402, bias, value: tensor([-0.0303, 0.0405, -0.0013, -0.0106, 0.0210, -0.0344, 0.0042, 0.0066, -0.0004, -0.0147], device='cuda:0'), grad: tensor([-0.0431, 0.0197, 0.0058, 0.0082, -0.0221, -0.0053, -0.0232, 0.0309, 0.0173, 0.0119], device='cuda:0') 100 1e-05 changing lr epoch 401, time 214.31, cls_loss 0.5123 cls_loss_mapping 0.0013 cls_loss_causal 0.4572 re_mapping 0.0079 re_causal 0.0199 /// teacc 98.89 lr 0.00001000 Epoch 403, weight, value: tensor([[-0.0749, -0.1629, -0.1107, ..., -0.0387, 0.0653, -0.1113], [-0.0837, -0.0955, -0.0888, ..., 0.0985, -0.0382, 0.2397], [ 0.0024, -0.0323, -0.0630, ..., -0.0070, -0.0100, -0.0826], ..., [ 0.0372, -0.1195, 0.1832, ..., 0.0391, -0.1246, 0.0618], [-0.0253, 0.0659, -0.1534, ..., -0.0475, 0.0176, -0.1188], [-0.0642, 0.0817, 0.0416, ..., -0.0651, -0.0534, -0.0358]], device='cuda:0'), grad: tensor([[-8.2403e-06, -6.2752e-04, 3.7163e-05, ..., 2.8062e-04, 5.2154e-08, 2.5058e-04], [ 1.4519e-06, 6.4754e-04, 1.6034e-04, ..., 7.0477e-04, 2.1420e-08, 1.7071e-04], [ 6.2957e-07, 1.4865e-04, 1.1635e-03, ..., -1.7576e-03, -2.7679e-06, -2.4986e-04], ..., [ 1.4836e-06, 3.9458e-04, 2.0828e-02, ..., 1.1234e-03, 3.4459e-08, 1.0735e-04], [ 1.1861e-05, -3.6640e-03, 8.6308e-04, ..., -3.5610e-03, 1.7425e-06, -1.4296e-03], [ 1.3784e-05, 8.3017e-04, 8.4066e-04, ..., 8.5688e-04, 1.2759e-07, 2.2531e-04]], device='cuda:0') Epoch 403, bias, value: tensor([-0.0302, 0.0404, -0.0012, -0.0108, 0.0212, -0.0344, 0.0042, 0.0066, -0.0006, -0.0147], device='cuda:0'), grad: tensor([-0.0379, 0.0217, -0.0343, -0.0342, 0.0237, -0.0257, 0.0313, 0.0459, -0.0112, 0.0206], device='cuda:0') 100 1e-05 changing lr epoch 402, time 214.48, cls_loss 0.5362 cls_loss_mapping 0.0015 cls_loss_causal 0.4704 re_mapping 0.0079 re_causal 0.0200 /// teacc 98.93 lr 0.00001000 Epoch 404, weight, value: tensor([[-0.0748, -0.1630, -0.1108, ..., -0.0386, 0.0654, -0.1115], [-0.0836, -0.0955, -0.0886, ..., 0.0987, -0.0383, 0.2400], [ 0.0024, -0.0324, -0.0630, ..., -0.0069, -0.0100, -0.0827], ..., [ 0.0372, -0.1195, 0.1831, ..., 0.0389, -0.1247, 0.0618], [-0.0254, 0.0658, -0.1534, ..., -0.0475, 0.0178, -0.1189], [-0.0642, 0.0817, 0.0417, ..., -0.0651, -0.0535, -0.0359]], device='cuda:0'), grad: tensor([[ 2.6202e-04, 7.8008e-06, 1.3316e-04, ..., -6.5079e-03, 2.5582e-04, 2.7418e-04], [ 1.6512e-06, 3.5524e-05, 5.3883e-05, ..., -6.2847e-04, 5.9128e-05, -1.0624e-03], [ 4.4513e-04, 2.7752e-04, 3.4904e-04, ..., 3.2387e-03, 1.4424e-04, 1.5926e-04], ..., [-5.7983e-03, 3.2425e-05, -1.1721e-03, ..., -1.0536e-02, 3.7253e-05, -2.8839e-03], [ 1.1082e-03, 2.6155e-04, 1.5850e-03, ..., 3.9787e-03, 1.9538e-04, 5.0354e-04], [ 2.5063e-03, -1.0443e-03, 1.0855e-05, ..., 1.8682e-03, 6.8605e-05, 1.3247e-03]], device='cuda:0') Epoch 404, bias, value: tensor([-0.0302, 0.0405, -0.0013, -0.0107, 0.0214, -0.0344, 0.0043, 0.0065, -0.0007, -0.0148], device='cuda:0'), grad: tensor([ 0.0016, 0.0130, -0.0007, -0.0182, 0.0310, -0.0019, 0.0244, -0.0168, 0.0072, -0.0396], device='cuda:0') 100 1e-05 changing lr epoch 403, time 214.93, cls_loss 0.4982 cls_loss_mapping 0.0012 cls_loss_causal 0.4382 re_mapping 0.0078 re_causal 0.0188 /// teacc 98.91 lr 0.00001000 Epoch 405, weight, value: tensor([[-0.0748, -0.1631, -0.1108, ..., -0.0388, 0.0656, -0.1117], [-0.0835, -0.0953, -0.0887, ..., 0.0987, -0.0383, 0.2400], [ 0.0024, -0.0322, -0.0630, ..., -0.0070, -0.0101, -0.0827], ..., [ 0.0373, -0.1197, 0.1830, ..., 0.0390, -0.1248, 0.0619], [-0.0255, 0.0658, -0.1535, ..., -0.0476, 0.0179, -0.1191], [-0.0643, 0.0819, 0.0417, ..., -0.0651, -0.0535, -0.0358]], device='cuda:0'), grad: tensor([[ 3.0422e-03, 4.9515e-03, 6.5279e-04, ..., 7.2212e-03, 1.2362e-04, 1.7262e-03], [-1.8120e-04, 1.9357e-05, -1.7042e-03, ..., -4.4250e-03, 9.4712e-05, -1.3876e-03], [ 8.6427e-05, 3.8028e-05, 1.5163e-04, ..., 6.1560e-04, 7.8201e-05, 3.6311e-04], ..., [ 1.1218e-04, 2.2590e-05, 1.2350e-04, ..., 1.0214e-03, 7.7724e-05, 3.8242e-04], [-6.1941e-04, 1.4007e-04, 2.2912e-04, ..., -1.5497e-03, -8.8835e-04, 9.1076e-04], [ 1.0401e-04, 4.3899e-05, 6.7949e-05, ..., 4.5681e-04, 9.6977e-05, 5.0211e-04]], device='cuda:0') Epoch 405, bias, value: tensor([-0.0303, 0.0405, -0.0014, -0.0107, 0.0214, -0.0345, 0.0045, 0.0066, -0.0008, -0.0148], device='cuda:0'), grad: tensor([ 0.0480, 0.0043, 0.0113, 0.0131, 0.0122, -0.0299, -0.0397, -0.0183, -0.0143, 0.0132], device='cuda:0') 100 1e-05 changing lr epoch 404, time 214.82, cls_loss 0.4975 cls_loss_mapping 0.0010 cls_loss_causal 0.4284 re_mapping 0.0076 re_causal 0.0190 /// teacc 98.90 lr 0.00001000 Epoch 406, weight, value: tensor([[-0.0747, -0.1632, -0.1108, ..., -0.0387, 0.0656, -0.1118], [-0.0835, -0.0950, -0.0887, ..., 0.0988, -0.0383, 0.2401], [ 0.0024, -0.0323, -0.0631, ..., -0.0070, -0.0101, -0.0827], ..., [ 0.0372, -0.1195, 0.1830, ..., 0.0389, -0.1248, 0.0618], [-0.0255, 0.0657, -0.1534, ..., -0.0477, 0.0180, -0.1189], [-0.0643, 0.0820, 0.0418, ..., -0.0652, -0.0536, -0.0358]], device='cuda:0'), grad: tensor([[-6.3210e-03, 2.7323e-04, -3.2120e-03, ..., -4.8866e-03, -3.9768e-04, 6.2609e-04], [ 6.8665e-04, 1.7881e-04, 4.6182e-04, ..., 1.2865e-03, 4.3184e-05, 9.8515e-04], [ 3.1900e-04, 1.1641e-04, 2.1386e-04, ..., 1.1673e-03, 2.0087e-05, 4.8280e-04], ..., [ 6.1321e-04, 1.1377e-03, 5.0497e-04, ..., 1.2856e-03, 3.8564e-05, 8.9931e-04], [ 1.4889e-04, -2.9736e-03, -9.4128e-04, ..., -7.8297e-04, 9.3654e-06, -1.5049e-03], [ 2.5139e-03, 4.6005e-03, 1.7328e-03, ..., 3.9005e-03, 1.5807e-04, 2.3727e-03]], device='cuda:0') Epoch 406, bias, value: tensor([-0.0304, 0.0404, -0.0014, -0.0107, 0.0216, -0.0345, 0.0046, 0.0066, -0.0008, -0.0149], device='cuda:0'), grad: tensor([-0.0157, 0.0104, 0.0092, 0.0130, -0.0584, 0.0091, -0.0068, 0.0151, -0.0216, 0.0457], device='cuda:0') 100 1e-05 changing lr epoch 405, time 214.71, cls_loss 0.5050 cls_loss_mapping 0.0010 cls_loss_causal 0.4480 re_mapping 0.0075 re_causal 0.0186 /// teacc 98.92 lr 0.00001000 Epoch 407, weight, value: tensor([[-0.0747, -0.1633, -0.1107, ..., -0.0387, 0.0656, -0.1119], [-0.0835, -0.0950, -0.0886, ..., 0.0989, -0.0382, 0.2401], [ 0.0024, -0.0323, -0.0631, ..., -0.0071, -0.0102, -0.0827], ..., [ 0.0371, -0.1195, 0.1830, ..., 0.0388, -0.1249, 0.0619], [-0.0255, 0.0657, -0.1534, ..., -0.0476, 0.0180, -0.1189], [-0.0643, 0.0821, 0.0418, ..., -0.0654, -0.0537, -0.0360]], device='cuda:0'), grad: tensor([[ 3.0041e-04, 2.8051e-06, 1.8403e-05, ..., 3.1357e-03, 3.5620e-04, 5.6624e-06], [ 1.6010e-04, 1.1949e-06, -7.8142e-05, ..., 3.1586e-03, 1.4286e-03, -3.7241e-04], [ 3.8934e-04, 2.0847e-05, 1.7157e-03, ..., 1.8253e-03, 4.5300e-04, 3.3379e-04], ..., [-9.6858e-05, -2.2069e-05, -2.4092e-04, ..., 7.1564e-03, 4.5624e-03, 6.8893e-03], [ 1.3554e-04, -2.5997e-03, 3.2449e-04, ..., -1.0719e-02, -7.7896e-03, 1.3316e-04], [ 1.1796e-04, 1.1168e-05, 5.2786e-04, ..., -5.2376e-03, 2.0161e-03, 1.2360e-03]], device='cuda:0') Epoch 407, bias, value: tensor([-0.0305, 0.0405, -0.0014, -0.0106, 0.0216, -0.0345, 0.0045, 0.0066, -0.0009, -0.0149], device='cuda:0'), grad: tensor([ 0.0120, 0.0070, 0.0090, 0.0138, -0.0227, 0.0034, -0.0094, -0.0202, 0.0251, -0.0181], device='cuda:0') 100 1e-05 changing lr epoch 406, time 214.83, cls_loss 0.4905 cls_loss_mapping 0.0010 cls_loss_causal 0.4271 re_mapping 0.0069 re_causal 0.0175 /// teacc 98.91 lr 0.00001000 Epoch 408, weight, value: tensor([[-0.0748, -0.1632, -0.1106, ..., -0.0388, 0.0656, -0.1120], [-0.0834, -0.0950, -0.0887, ..., 0.0990, -0.0382, 0.2402], [ 0.0024, -0.0323, -0.0631, ..., -0.0071, -0.0103, -0.0827], ..., [ 0.0370, -0.1195, 0.1831, ..., 0.0388, -0.1251, 0.0619], [-0.0255, 0.0658, -0.1532, ..., -0.0475, 0.0181, -0.1188], [-0.0643, 0.0822, 0.0417, ..., -0.0655, -0.0537, -0.0359]], device='cuda:0'), grad: tensor([[-6.8998e-04, -1.3409e-03, 3.2224e-07, ..., 2.3234e-04, 0.0000e+00, 1.8044e-03], [-1.3475e-03, -6.7689e-06, -6.2585e-05, ..., -4.5395e-03, 0.0000e+00, -5.3101e-03], [ 3.4547e-04, 1.3435e-04, 3.4552e-07, ..., 3.8600e-04, 0.0000e+00, -5.8556e-03], ..., [ 6.5136e-04, 1.4842e-04, 2.5421e-05, ..., 6.7425e-04, 0.0000e+00, 1.6499e-03], [ 6.8235e-04, -4.1938e-04, 7.5325e-06, ..., 2.7514e-04, 0.0000e+00, 1.0900e-03], [-1.6241e-03, 7.5769e-04, 9.8571e-06, ..., 7.5626e-04, 0.0000e+00, 1.1101e-03]], device='cuda:0') Epoch 408, bias, value: tensor([-0.0306, 0.0408, -0.0014, -0.0106, 0.0215, -0.0345, 0.0045, 0.0065, -0.0008, -0.0149], device='cuda:0'), grad: tensor([-0.0088, -0.0051, -0.0046, 0.0213, 0.0204, 0.0207, 0.0134, -0.0079, -0.0523, 0.0029], device='cuda:0') 100 1e-05 changing lr epoch 407, time 214.63, cls_loss 0.5277 cls_loss_mapping 0.0011 cls_loss_causal 0.4663 re_mapping 0.0071 re_causal 0.0184 /// teacc 98.90 lr 0.00001000 Epoch 409, weight, value: tensor([[-0.0746, -0.1632, -0.1106, ..., -0.0386, 0.0657, -0.1119], [-0.0835, -0.0950, -0.0886, ..., 0.0990, -0.0380, 0.2401], [ 0.0025, -0.0324, -0.0630, ..., -0.0070, -0.0103, -0.0827], ..., [ 0.0369, -0.1196, 0.1832, ..., 0.0387, -0.1251, 0.0619], [-0.0255, 0.0657, -0.1533, ..., -0.0476, 0.0181, -0.1190], [-0.0643, 0.0820, 0.0417, ..., -0.0654, -0.0538, -0.0357]], device='cuda:0'), grad: tensor([[ 7.7534e-04, 1.0997e-05, 4.6253e-05, ..., 3.0403e-03, 2.6356e-07, 5.9414e-04], [-3.1567e-03, 7.8201e-05, -3.1710e-04, ..., -1.6724e-02, 5.5879e-09, -5.1651e-03], [ 1.4105e-03, 2.8998e-05, 9.3639e-05, ..., 2.8667e-03, 4.0889e-05, 7.5197e-04], ..., [ 7.9041e-03, 1.6761e-04, 1.2711e-02, ..., 7.8659e-03, 0.0000e+00, 3.9902e-03], [-5.0087e-03, 5.0217e-05, 1.8799e-04, ..., 3.5362e-03, 2.5611e-07, 2.2850e-03], [ 9.0265e-04, 1.7345e-04, 1.0777e-03, ..., 3.7498e-03, 1.8626e-09, 3.3321e-03]], device='cuda:0') Epoch 409, bias, value: tensor([-0.0305, 0.0408, -0.0014, -0.0106, 0.0216, -0.0346, 0.0045, 0.0065, -0.0009, -0.0150], device='cuda:0'), grad: tensor([ 0.0171, -0.0327, 0.0231, -0.0067, 0.0093, 0.0183, -0.0120, 0.0326, -0.0700, 0.0211], device='cuda:0') 100 1e-05 changing lr epoch 408, time 214.54, cls_loss 0.4993 cls_loss_mapping 0.0010 cls_loss_causal 0.4333 re_mapping 0.0069 re_causal 0.0178 /// teacc 98.88 lr 0.00001000 Epoch 410, weight, value: tensor([[-0.0746, -0.1632, -0.1106, ..., -0.0386, 0.0658, -0.1120], [-0.0835, -0.0950, -0.0886, ..., 0.0992, -0.0381, 0.2402], [ 0.0026, -0.0324, -0.0630, ..., -0.0071, -0.0104, -0.0825], ..., [ 0.0371, -0.1196, 0.1832, ..., 0.0387, -0.1251, 0.0620], [-0.0255, 0.0658, -0.1533, ..., -0.0477, 0.0181, -0.1192], [-0.0644, 0.0820, 0.0416, ..., -0.0654, -0.0538, -0.0358]], device='cuda:0'), grad: tensor([[ 1.3560e-05, 2.9996e-05, 1.2569e-05, ..., 5.0545e-04, 1.0747e-06, 2.1625e-04], [-8.3017e-04, -3.6311e-04, -4.1103e-04, ..., -1.1367e-04, 3.8147e-05, -1.1463e-03], [-5.2080e-06, 4.7874e-04, -2.1800e-05, ..., -2.0008e-03, 3.8624e-05, 1.9884e-04], ..., [ 3.5316e-05, 2.4867e-04, 6.2990e-04, ..., -1.4629e-03, 3.2187e-06, -1.5831e-03], [ 5.5504e-04, -2.5201e-04, 6.5088e-04, ..., 7.7295e-04, 8.1122e-05, 1.1110e-03], [ 3.2753e-05, 4.8714e-03, 8.0109e-03, ..., 4.7565e-04, 2.4308e-06, 1.7824e-03]], device='cuda:0') Epoch 410, bias, value: tensor([-0.0306, 0.0409, -0.0014, -0.0106, 0.0216, -0.0346, 0.0046, 0.0065, -0.0009, -0.0150], device='cuda:0'), grad: tensor([ 0.0164, 0.0122, -0.0442, 0.0126, 0.0115, -0.0145, 0.0071, -0.0481, 0.0112, 0.0357], device='cuda:0') 100 1e-05 changing lr epoch 409, time 215.00, cls_loss 0.4799 cls_loss_mapping 0.0010 cls_loss_causal 0.4181 re_mapping 0.0071 re_causal 0.0177 /// teacc 98.92 lr 0.00001000 Epoch 411, weight, value: tensor([[-0.0745, -0.1633, -0.1105, ..., -0.0386, 0.0657, -0.1121], [-0.0835, -0.0950, -0.0887, ..., 0.0992, -0.0381, 0.2400], [ 0.0026, -0.0324, -0.0629, ..., -0.0071, -0.0103, -0.0823], ..., [ 0.0371, -0.1195, 0.1833, ..., 0.0388, -0.1252, 0.0620], [-0.0256, 0.0657, -0.1533, ..., -0.0478, 0.0182, -0.1192], [-0.0644, 0.0820, 0.0416, ..., -0.0653, -0.0538, -0.0358]], device='cuda:0'), grad: tensor([[ 6.0463e-04, 2.7871e-04, 4.6706e-04, ..., 6.9761e-04, 9.7081e-06, -8.6260e-04], [ 1.4019e-03, 9.1505e-04, 1.3456e-03, ..., 4.8981e-03, 8.2254e-05, 1.5373e-03], [-1.5850e-03, 3.1281e-04, 4.8804e-04, ..., 1.9464e-03, 1.4462e-05, -4.5815e-03], ..., [ 2.2602e-03, 1.0519e-03, 1.6870e-03, ..., -9.1476e-03, 5.6863e-05, 3.6125e-03], [ 1.2398e-03, 3.9339e-04, 8.0013e-04, ..., 4.2763e-03, 9.0897e-05, 2.7046e-03], [ 1.4296e-03, 3.0565e-04, -1.5354e-04, ..., 3.5324e-03, 3.9220e-05, 2.2945e-03]], device='cuda:0') Epoch 411, bias, value: tensor([-0.0305, 0.0409, -0.0014, -0.0105, 0.0217, -0.0345, 0.0044, 0.0066, -0.0011, -0.0150], device='cuda:0'), grad: tensor([-0.0446, 0.0252, -0.0442, -0.0253, 0.0051, 0.0252, -0.0169, 0.0035, 0.0297, 0.0424], device='cuda:0') 100 1e-05 changing lr epoch 410, time 214.68, cls_loss 0.5196 cls_loss_mapping 0.0011 cls_loss_causal 0.4605 re_mapping 0.0068 re_causal 0.0185 /// teacc 98.95 lr 0.00001000 Epoch 412, weight, value: tensor([[-0.0746, -0.1634, -0.1104, ..., -0.0387, 0.0657, -0.1122], [-0.0834, -0.0949, -0.0888, ..., 0.0992, -0.0381, 0.2400], [ 0.0026, -0.0325, -0.0629, ..., -0.0071, -0.0104, -0.0823], ..., [ 0.0372, -0.1197, 0.1832, ..., 0.0388, -0.1252, 0.0621], [-0.0257, 0.0657, -0.1534, ..., -0.0478, 0.0182, -0.1193], [-0.0644, 0.0820, 0.0417, ..., -0.0652, -0.0540, -0.0358]], device='cuda:0'), grad: tensor([[ 0.0004, 0.0003, 0.0002, ..., 0.0009, 0.0001, 0.0002], [ 0.0006, 0.0005, 0.0003, ..., 0.0006, 0.0002, 0.0003], [ 0.0009, 0.0002, 0.0013, ..., 0.0003, -0.0009, -0.0002], ..., [ 0.0018, 0.0050, 0.0082, ..., 0.0090, 0.0003, 0.0056], [-0.0006, -0.0003, 0.0003, ..., 0.0004, 0.0003, 0.0002], [ 0.0007, -0.0051, -0.0043, ..., -0.0013, -0.0002, -0.0037]], device='cuda:0') Epoch 412, bias, value: tensor([-0.0306, 0.0409, -0.0014, -0.0106, 0.0217, -0.0345, 0.0047, 0.0066, -0.0013, -0.0150], device='cuda:0'), grad: tensor([ 0.0101, 0.0121, 0.0076, -0.0186, -0.0197, -0.0666, 0.0116, 0.0430, 0.0232, -0.0027], device='cuda:0') 100 1e-05 changing lr epoch 411, time 214.62, cls_loss 0.5089 cls_loss_mapping 0.0010 cls_loss_causal 0.4414 re_mapping 0.0069 re_causal 0.0179 /// teacc 98.95 lr 0.00001000 Epoch 413, weight, value: tensor([[-0.0746, -0.1635, -0.1103, ..., -0.0388, 0.0657, -0.1122], [-0.0834, -0.0950, -0.0888, ..., 0.0993, -0.0381, 0.2400], [ 0.0025, -0.0326, -0.0630, ..., -0.0072, -0.0105, -0.0822], ..., [ 0.0371, -0.1197, 0.1832, ..., 0.0387, -0.1253, 0.0621], [-0.0257, 0.0657, -0.1533, ..., -0.0478, 0.0182, -0.1195], [-0.0645, 0.0819, 0.0418, ..., -0.0651, -0.0539, -0.0358]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 5.5885e-04, 1.1456e-04, ..., 4.3106e-04, 4.2617e-05, 1.4985e-04], [ 0.0000e+00, -1.4102e-04, 1.0979e-04, ..., -2.9254e-04, 4.4286e-05, 3.6502e-04], [ 1.8626e-09, -1.3614e-04, 2.8515e-04, ..., -2.0552e-04, 8.6248e-05, 2.4819e-04], ..., [ 0.0000e+00, 1.7080e-03, 5.5170e-04, ..., 1.8716e-04, 6.7651e-05, 2.4395e-03], [-9.3132e-10, -5.9853e-03, 3.7980e-04, ..., 7.3671e-04, 1.1462e-04, 1.4057e-03], [ 0.0000e+00, 2.4529e-03, -1.4982e-03, ..., 1.3196e-04, 1.1384e-04, -5.1651e-03]], device='cuda:0') Epoch 413, bias, value: tensor([-0.0307, 0.0410, -0.0015, -0.0106, 0.0218, -0.0344, 0.0046, 0.0066, -0.0012, -0.0150], device='cuda:0'), grad: tensor([ 0.0147, -0.0094, -0.0128, 0.0242, 0.0140, 0.0204, -0.0444, 0.0278, -0.0076, -0.0269], device='cuda:0') 100 1e-05 changing lr epoch 412, time 214.73, cls_loss 0.5004 cls_loss_mapping 0.0011 cls_loss_causal 0.4348 re_mapping 0.0065 re_causal 0.0170 /// teacc 98.91 lr 0.00001000 Epoch 414, weight, value: tensor([[-0.0745, -0.1635, -0.1104, ..., -0.0388, 0.0657, -0.1121], [-0.0832, -0.0951, -0.0888, ..., 0.0994, -0.0382, 0.2400], [ 0.0023, -0.0326, -0.0630, ..., -0.0072, -0.0105, -0.0823], ..., [ 0.0371, -0.1199, 0.1831, ..., 0.0387, -0.1253, 0.0621], [-0.0257, 0.0657, -0.1532, ..., -0.0480, 0.0183, -0.1196], [-0.0644, 0.0819, 0.0418, ..., -0.0651, -0.0539, -0.0358]], device='cuda:0'), grad: tensor([[-4.5586e-03, 1.9908e-04, 4.2230e-05, ..., -6.1340e-03, -3.2735e-04, -8.7585e-03], [ 1.7424e-03, 2.4796e-04, 2.8992e-04, ..., 3.9711e-03, 1.1927e-04, 2.1839e-03], [ 8.7786e-04, 1.8752e-04, 1.4102e-04, ..., 2.4242e-03, -3.2306e-04, 9.7752e-04], ..., [ 1.1263e-03, 1.9968e-04, 5.0926e-04, ..., -5.2872e-03, 1.9097e-04, -1.1730e-03], [-5.7411e-03, -7.9155e-04, 9.1612e-05, ..., -7.2975e-03, 1.1063e-04, 1.2827e-03], [-2.0123e-03, -1.3103e-03, -2.7695e-03, ..., -6.2370e-03, -8.9645e-04, -1.7395e-03]], device='cuda:0') Epoch 414, bias, value: tensor([-0.0307, 0.0410, -0.0015, -0.0104, 0.0217, -0.0345, 0.0047, 0.0065, -0.0014, -0.0150], device='cuda:0'), grad: tensor([-0.0119, 0.0269, 0.0059, 0.0205, 0.0309, 0.0268, 0.0335, -0.0508, -0.0382, -0.0436], device='cuda:0') 100 1e-05 changing lr epoch 413, time 214.83, cls_loss 0.4833 cls_loss_mapping 0.0011 cls_loss_causal 0.4192 re_mapping 0.0069 re_causal 0.0172 /// teacc 98.94 lr 0.00001000 Epoch 415, weight, value: tensor([[-0.0745, -0.1635, -0.1104, ..., -0.0389, 0.0656, -0.1122], [-0.0831, -0.0949, -0.0889, ..., 0.0995, -0.0381, 0.2402], [ 0.0024, -0.0326, -0.0629, ..., -0.0071, -0.0105, -0.0824], ..., [ 0.0368, -0.1200, 0.1830, ..., 0.0385, -0.1253, 0.0621], [-0.0258, 0.0657, -0.1533, ..., -0.0480, 0.0183, -0.1197], [-0.0643, 0.0819, 0.0418, ..., -0.0651, -0.0541, -0.0358]], device='cuda:0'), grad: tensor([[ 8.6880e-04, 6.0177e-04, 1.6820e-06, ..., 1.0643e-03, 5.6267e-04, -6.6853e-04], [-3.7231e-03, -1.2522e-03, 2.4274e-05, ..., -4.1504e-03, 1.5366e-04, 8.7547e-04], [ 9.2363e-04, 8.5211e-04, 9.1612e-05, ..., 1.5316e-03, 9.1910e-05, 7.4577e-04], ..., [ 1.1368e-03, 1.1625e-03, -4.2462e-04, ..., 1.4963e-03, 1.1802e-04, 4.1270e-04], [ 1.4668e-03, 1.6375e-03, 7.3127e-06, ..., 1.7281e-03, 3.4809e-04, 9.9277e-04], [-1.7776e-03, -6.9046e-03, 2.7347e-04, ..., -2.2876e-04, -5.9223e-04, -3.4952e-04]], device='cuda:0') Epoch 415, bias, value: tensor([-0.0309, 0.0410, -0.0013, -0.0104, 0.0218, -0.0344, 0.0048, 0.0065, -0.0014, -0.0152], device='cuda:0'), grad: tensor([-0.0077, -0.0605, 0.0235, 0.0261, -0.0448, 0.0210, -0.0016, 0.0253, 0.0289, -0.0102], device='cuda:0') 100 1e-05 changing lr epoch 414, time 214.43, cls_loss 0.5010 cls_loss_mapping 0.0011 cls_loss_causal 0.4382 re_mapping 0.0066 re_causal 0.0171 /// teacc 98.97 lr 0.00001000 Epoch 416, weight, value: tensor([[-0.0744, -0.1636, -0.1104, ..., -0.0389, 0.0656, -0.1122], [-0.0831, -0.0949, -0.0890, ..., 0.0996, -0.0382, 0.2403], [ 0.0023, -0.0325, -0.0628, ..., -0.0070, -0.0104, -0.0822], ..., [ 0.0368, -0.1201, 0.1828, ..., 0.0384, -0.1254, 0.0621], [-0.0257, 0.0657, -0.1532, ..., -0.0481, 0.0183, -0.1197], [-0.0640, 0.0819, 0.0421, ..., -0.0650, -0.0540, -0.0358]], device='cuda:0'), grad: tensor([[ 2.7561e-04, 2.9922e-04, 8.0228e-05, ..., 1.3695e-03, -5.9414e-04, 1.0214e-03], [ 2.0027e-03, -5.6982e-04, 6.0654e-04, ..., 6.5002e-03, 2.2948e-06, 6.2675e-03], [ 3.4189e-04, 4.2701e-04, -4.1199e-04, ..., 9.5797e-04, 2.4036e-05, 6.9580e-03], ..., [ 4.9543e-04, 8.9693e-04, 4.6682e-04, ..., 2.4719e-03, 1.1407e-05, 1.9350e-03], [ 7.3862e-04, 1.0805e-03, 2.2304e-04, ..., 6.8741e-03, 2.2575e-05, 3.9368e-03], [ 3.0613e-04, -7.7963e-04, 2.7370e-04, ..., 1.4286e-03, 5.8889e-04, 9.0885e-04]], device='cuda:0') Epoch 416, bias, value: tensor([-0.0308, 0.0411, -0.0011, -0.0104, 0.0219, -0.0345, 0.0046, 0.0064, -0.0014, -0.0151], device='cuda:0'), grad: tensor([-0.0174, 0.0110, 0.0215, -0.0432, 0.0019, 0.0220, -0.0504, 0.0167, 0.0250, 0.0129], device='cuda:0') 100 1e-05 changing lr epoch 415, time 214.47, cls_loss 0.5117 cls_loss_mapping 0.0009 cls_loss_causal 0.4466 re_mapping 0.0066 re_causal 0.0179 /// teacc 99.00 lr 0.00001000 Epoch 417, weight, value: tensor([[-0.0744, -0.1634, -0.1104, ..., -0.0388, 0.0656, -0.1123], [-0.0829, -0.0950, -0.0889, ..., 0.0997, -0.0382, 0.2404], [ 0.0022, -0.0327, -0.0629, ..., -0.0070, -0.0104, -0.0823], ..., [ 0.0368, -0.1202, 0.1828, ..., 0.0384, -0.1255, 0.0621], [-0.0259, 0.0658, -0.1533, ..., -0.0481, 0.0185, -0.1199], [-0.0640, 0.0820, 0.0420, ..., -0.0650, -0.0541, -0.0358]], device='cuda:0'), grad: tensor([[ 7.8869e-04, 7.5493e-03, 6.7830e-05, ..., 2.4185e-03, 3.1680e-05, 1.1663e-03], [ 8.8835e-04, 8.5497e-04, 4.6015e-04, ..., -2.1160e-04, 1.8322e-04, -3.4504e-03], [-3.5973e-03, 3.3712e-04, -7.4244e-04, ..., 1.3638e-03, 2.4617e-05, 8.4925e-04], ..., [ 9.1457e-04, 5.6696e-04, 1.6320e-04, ..., 2.6169e-03, 9.1791e-05, 1.6584e-03], [ 1.9379e-03, -9.8228e-04, 8.9169e-04, ..., -6.2466e-04, 3.0375e-04, -1.1272e-03], [ 1.1292e-03, 3.7441e-03, 2.8744e-03, ..., -2.8400e-03, 1.3714e-03, -2.5673e-03]], device='cuda:0') Epoch 417, bias, value: tensor([-0.0307, 0.0413, -0.0012, -0.0103, 0.0218, -0.0347, 0.0044, 0.0063, -0.0013, -0.0150], device='cuda:0'), grad: tensor([ 0.0317, 0.0037, -0.0210, 0.0061, -0.0185, -0.0160, -0.0076, 0.0132, 0.0119, -0.0035], device='cuda:0') 100 1e-05 changing lr epoch 416, time 214.63, cls_loss 0.4796 cls_loss_mapping 0.0009 cls_loss_causal 0.4269 re_mapping 0.0067 re_causal 0.0175 /// teacc 98.98 lr 0.00001000 Epoch 418, weight, value: tensor([[-0.0744, -0.1634, -0.1104, ..., -0.0387, 0.0656, -0.1122], [-0.0829, -0.0949, -0.0892, ..., 0.0997, -0.0379, 0.2404], [ 0.0023, -0.0325, -0.0628, ..., -0.0071, -0.0102, -0.0823], ..., [ 0.0369, -0.1203, 0.1828, ..., 0.0385, -0.1255, 0.0622], [-0.0261, 0.0658, -0.1534, ..., -0.0482, 0.0184, -0.1199], [-0.0641, 0.0821, 0.0421, ..., -0.0649, -0.0543, -0.0359]], device='cuda:0'), grad: tensor([[-3.0861e-03, -4.6272e-03, 4.1664e-05, ..., -7.8278e-03, -1.2302e-03, 7.0190e-04], [ 2.0635e-04, 2.9182e-04, 1.5759e-04, ..., -4.6959e-03, -1.4429e-03, -5.5170e-04], [ 1.9145e-04, 1.9064e-03, -1.8990e-04, ..., -2.5387e-03, 2.1160e-04, -2.9831e-03], ..., [ 5.2595e-04, 2.4462e-04, 1.1909e-04, ..., 1.4534e-03, 4.3333e-05, 1.3409e-03], [ 1.6823e-03, 1.5755e-03, -3.0518e-04, ..., 7.7248e-04, 6.7854e-04, -1.2708e-04], [ 1.0717e-04, -1.9875e-03, -8.3971e-04, ..., 5.9557e-04, 1.5664e-04, -8.4229e-03]], device='cuda:0') Epoch 418, bias, value: tensor([-0.0305, 0.0413, -0.0011, -0.0105, 0.0218, -0.0347, 0.0044, 0.0063, -0.0015, -0.0150], device='cuda:0'), grad: tensor([-0.0398, -0.0067, -0.0042, -0.0406, 0.0114, 0.0607, 0.0202, 0.0163, -0.0044, -0.0131], device='cuda:0') 100 1e-05 changing lr epoch 417, time 215.12, cls_loss 0.5054 cls_loss_mapping 0.0010 cls_loss_causal 0.4313 re_mapping 0.0068 re_causal 0.0175 /// teacc 99.00 lr 0.00001000 Epoch 419, weight, value: tensor([[-0.0744, -0.1635, -0.1105, ..., -0.0387, 0.0657, -0.1123], [-0.0830, -0.0949, -0.0893, ..., 0.0996, -0.0380, 0.2404], [ 0.0024, -0.0324, -0.0629, ..., -0.0070, -0.0102, -0.0823], ..., [ 0.0368, -0.1205, 0.1826, ..., 0.0384, -0.1258, 0.0620], [-0.0262, 0.0658, -0.1534, ..., -0.0484, 0.0183, -0.1200], [-0.0641, 0.0823, 0.0423, ..., -0.0649, -0.0543, -0.0358]], device='cuda:0'), grad: tensor([[ 9.1267e-04, 1.1234e-03, 1.8454e-04, ..., 1.7653e-03, 3.8862e-04, 2.7966e-04], [ 1.8778e-03, -4.2267e-03, -6.0387e-03, ..., -2.9678e-03, 4.8876e-05, -1.5755e-03], [ 1.1711e-03, 1.6251e-03, -5.0783e-04, ..., -1.6384e-03, 4.1342e-04, 5.7459e-04], ..., [ 6.5994e-03, 2.1305e-03, 3.0670e-03, ..., 8.8120e-03, 1.7810e-04, 3.1967e-03], [ 1.0595e-03, -2.6608e-03, -8.2397e-04, ..., -8.6117e-04, 2.1732e-04, -3.1929e-03], [-1.1551e-02, 1.7262e-03, 1.7805e-03, ..., -6.5422e-03, -2.5964e-04, -1.1358e-03]], device='cuda:0') Epoch 419, bias, value: tensor([-0.0306, 0.0412, -0.0010, -0.0105, 0.0218, -0.0346, 0.0044, 0.0063, -0.0016, -0.0150], device='cuda:0'), grad: tensor([ 0.0142, -0.0114, 0.0037, 0.0420, 0.0173, -0.0139, -0.0185, 0.0164, -0.0022, -0.0475], device='cuda:0') 100 1e-05 changing lr epoch 418, time 214.77, cls_loss 0.4977 cls_loss_mapping 0.0009 cls_loss_causal 0.4244 re_mapping 0.0070 re_causal 0.0177 /// teacc 98.96 lr 0.00001000 Epoch 420, weight, value: tensor([[-0.0743, -0.1635, -0.1105, ..., -0.0386, 0.0655, -0.1124], [-0.0830, -0.0949, -0.0894, ..., 0.0997, -0.0380, 0.2404], [ 0.0024, -0.0326, -0.0630, ..., -0.0071, -0.0104, -0.0823], ..., [ 0.0366, -0.1205, 0.1826, ..., 0.0385, -0.1255, 0.0620], [-0.0261, 0.0659, -0.1532, ..., -0.0484, 0.0185, -0.1200], [-0.0641, 0.0823, 0.0423, ..., -0.0650, -0.0545, -0.0356]], device='cuda:0'), grad: tensor([[ 0.0004, -0.0004, 0.0003, ..., -0.0139, 0.0000, 0.0006], [ 0.0002, 0.0004, 0.0003, ..., 0.0019, 0.0000, -0.0020], [-0.0048, -0.0035, -0.0014, ..., -0.0047, 0.0000, -0.0023], ..., [ 0.0005, 0.0022, -0.0002, ..., 0.0021, 0.0000, 0.0020], [ 0.0012, 0.0002, 0.0002, ..., -0.0017, 0.0000, -0.0002], [ 0.0008, 0.0008, 0.0004, ..., 0.0036, 0.0000, 0.0010]], device='cuda:0') Epoch 420, bias, value: tensor([-0.0305, 0.0412, -0.0010, -0.0106, 0.0217, -0.0345, 0.0046, 0.0062, -0.0015, -0.0149], device='cuda:0'), grad: tensor([-0.0219, 0.0174, -0.0076, 0.0338, -0.0146, 0.0215, -0.0304, 0.0240, -0.0446, 0.0225], device='cuda:0') 100 1e-05 changing lr epoch 419, time 214.80, cls_loss 0.5004 cls_loss_mapping 0.0009 cls_loss_causal 0.4443 re_mapping 0.0067 re_causal 0.0175 /// teacc 98.96 lr 0.00001000 Epoch 421, weight, value: tensor([[-0.0743, -0.1633, -0.1104, ..., -0.0386, 0.0655, -0.1125], [-0.0829, -0.0949, -0.0894, ..., 0.0998, -0.0379, 0.2406], [ 0.0025, -0.0327, -0.0630, ..., -0.0071, -0.0104, -0.0821], ..., [ 0.0367, -0.1205, 0.1828, ..., 0.0385, -0.1255, 0.0620], [-0.0260, 0.0658, -0.1532, ..., -0.0485, 0.0184, -0.1201], [-0.0641, 0.0823, 0.0423, ..., -0.0650, -0.0544, -0.0357]], device='cuda:0'), grad: tensor([[ 7.4959e-04, 4.7946e-04, 1.5497e-05, ..., 2.1095e-03, 1.9774e-05, 2.1720e-04], [ 1.0939e-03, 3.3426e-04, 4.2856e-05, ..., 2.9755e-03, 6.0201e-05, 2.1803e-04], [ 1.3266e-03, -4.2915e-03, -2.3289e-03, ..., 7.7295e-04, -3.1433e-03, 2.4652e-04], ..., [ 1.1740e-03, 9.1076e-04, 5.2452e-05, ..., 2.4223e-03, 6.8188e-05, 2.9993e-04], [ 1.9646e-03, 6.8665e-03, 1.7500e-03, ..., 6.3133e-03, 2.3518e-03, 1.8740e-04], [-6.1913e-03, -9.5139e-03, 1.4758e-04, ..., -8.0795e-03, 2.0504e-04, 1.6594e-04]], device='cuda:0') Epoch 421, bias, value: tensor([-0.0305, 0.0412, -0.0008, -0.0108, 0.0218, -0.0346, 0.0047, 0.0063, -0.0017, -0.0149], device='cuda:0'), grad: tensor([ 0.0102, 0.0124, -0.0074, 0.0265, 0.0112, -0.0215, -0.0478, 0.0128, 0.0361, -0.0326], device='cuda:0') 100 1e-05 changing lr epoch 420, time 214.90, cls_loss 0.5166 cls_loss_mapping 0.0009 cls_loss_causal 0.4452 re_mapping 0.0067 re_causal 0.0181 /// teacc 98.98 lr 0.00001000 Epoch 422, weight, value: tensor([[-0.0742, -0.1634, -0.1105, ..., -0.0386, 0.0656, -0.1125], [-0.0830, -0.0949, -0.0895, ..., 0.0997, -0.0381, 0.2405], [ 0.0024, -0.0326, -0.0632, ..., -0.0070, -0.0104, -0.0823], ..., [ 0.0367, -0.1206, 0.1829, ..., 0.0385, -0.1256, 0.0620], [-0.0261, 0.0658, -0.1531, ..., -0.0485, 0.0186, -0.1201], [-0.0641, 0.0824, 0.0423, ..., -0.0650, -0.0545, -0.0357]], device='cuda:0'), grad: tensor([[ 1.3936e-04, 1.1772e-04, 5.9992e-05, ..., 4.8280e-04, -3.0007e-06, 2.4414e-04], [ 1.4462e-05, -4.7183e-04, 3.7646e-04, ..., 2.6059e-04, 2.8126e-07, 7.7295e-04], [-8.7768e-06, -4.9019e-04, 1.5459e-03, ..., 4.9973e-03, 1.0747e-06, 5.1460e-03], ..., [-5.2214e-05, 1.2839e-04, 7.2908e-04, ..., -4.4174e-03, 3.7253e-09, -2.6188e-03], [ 1.5783e-04, 1.3363e-04, -4.8180e-03, ..., -4.5662e-03, 4.8019e-06, -7.2403e-03], [ 7.2420e-05, 1.1963e-04, 1.3733e-03, ..., 1.4935e-03, 2.9020e-06, 2.0828e-03]], device='cuda:0') Epoch 422, bias, value: tensor([-0.0306, 0.0412, -0.0008, -0.0106, 0.0218, -0.0345, 0.0045, 0.0062, -0.0017, -0.0149], device='cuda:0'), grad: tensor([ 0.0072, -0.0224, -0.0156, 0.0084, 0.0085, -0.0218, 0.0322, 0.0121, -0.0228, 0.0141], device='cuda:0') 100 1e-05 changing lr ---------------------saving model at epoch 421---------------------------------------------------- epoch 421, time 231.11, cls_loss 0.5121 cls_loss_mapping 0.0009 cls_loss_causal 0.4512 re_mapping 0.0068 re_causal 0.0176 /// teacc 99.02 lr 0.00001000 Epoch 423, weight, value: tensor([[-0.0742, -0.1635, -0.1105, ..., -0.0386, 0.0657, -0.1124], [-0.0831, -0.0948, -0.0895, ..., 0.0996, -0.0382, 0.2405], [ 0.0025, -0.0326, -0.0631, ..., -0.0069, -0.0101, -0.0823], ..., [ 0.0366, -0.1206, 0.1828, ..., 0.0383, -0.1257, 0.0619], [-0.0261, 0.0658, -0.1531, ..., -0.0485, 0.0186, -0.1201], [-0.0642, 0.0824, 0.0424, ..., -0.0648, -0.0545, -0.0355]], device='cuda:0'), grad: tensor([[ 3.0790e-06, 1.7524e-05, 1.7333e-04, ..., 1.0805e-03, 2.1577e-05, 4.6659e-04], [ 1.6868e-05, 2.3082e-05, 1.7333e-04, ..., 8.3876e-04, 1.2137e-05, 4.0865e-04], [ 2.5719e-05, 1.4019e-04, 3.5167e-04, ..., -1.1501e-03, -1.4603e-04, 2.8968e-04], ..., [-1.4432e-05, -4.1164e-07, -2.3975e-03, ..., -1.0979e-02, 2.7806e-05, -3.8948e-03], [ 4.8250e-05, 1.7233e-03, 2.3098e-03, ..., 4.9448e-04, 5.8794e-04, -1.5612e-03], [-2.0921e-04, -1.8568e-03, 9.8133e-04, ..., 2.9259e-03, 5.7817e-05, 1.7347e-03]], device='cuda:0') Epoch 423, bias, value: tensor([-0.0305, 0.0412, -0.0007, -0.0106, 0.0219, -0.0346, 0.0044, 0.0061, -0.0017, -0.0148], device='cuda:0'), grad: tensor([ 0.0075, 0.0072, -0.0142, 0.0383, 0.0103, -0.0211, 0.0072, -0.0330, -0.0160, 0.0138], device='cuda:0') 100 1e-05 changing lr epoch 422, time 214.56, cls_loss 0.4926 cls_loss_mapping 0.0009 cls_loss_causal 0.4374 re_mapping 0.0066 re_causal 0.0176 /// teacc 98.99 lr 0.00001000 Epoch 424, weight, value: tensor([[-0.0739, -0.1634, -0.1105, ..., -0.0386, 0.0658, -0.1125], [-0.0831, -0.0947, -0.0894, ..., 0.0997, -0.0382, 0.2405], [ 0.0026, -0.0325, -0.0630, ..., -0.0068, -0.0102, -0.0821], ..., [ 0.0366, -0.1205, 0.1828, ..., 0.0383, -0.1259, 0.0618], [-0.0262, 0.0658, -0.1531, ..., -0.0486, 0.0186, -0.1202], [-0.0642, 0.0826, 0.0424, ..., -0.0648, -0.0545, -0.0356]], device='cuda:0'), grad: tensor([[ 6.1005e-05, 2.1422e-04, 1.3602e-04, ..., 9.2793e-04, -1.0338e-06, 2.5582e-04], [ 6.5446e-05, -4.0627e-04, 2.3103e-04, ..., 1.3037e-03, 3.7253e-09, 3.7026e-04], [ 1.6975e-03, 8.2397e-04, 1.4248e-03, ..., 8.8348e-03, 5.9605e-08, 1.9369e-03], ..., [-2.3022e-03, 3.1185e-04, -1.5879e-03, ..., -1.0750e-02, 4.8429e-08, -2.1725e-03], [ 1.4901e-04, -8.7261e-04, 3.3283e-04, ..., 2.0218e-03, 1.5832e-07, 6.0940e-04], [ 1.7285e-05, -6.7234e-04, 1.5676e-04, ..., 1.5144e-03, 2.6450e-07, 4.8447e-04]], device='cuda:0') Epoch 424, bias, value: tensor([-0.0305, 0.0411, -0.0006, -0.0106, 0.0218, -0.0345, 0.0043, 0.0060, -0.0017, -0.0148], device='cuda:0'), grad: tensor([ 0.0165, -0.0154, 0.0349, 0.0219, -0.0470, 0.0219, -0.0155, -0.0072, 0.0050, -0.0151], device='cuda:0') 100 1e-05 changing lr epoch 423, time 214.85, cls_loss 0.5143 cls_loss_mapping 0.0009 cls_loss_causal 0.4456 re_mapping 0.0066 re_causal 0.0178 /// teacc 98.97 lr 0.00001000 Epoch 425, weight, value: tensor([[-0.0740, -0.1635, -0.1106, ..., -0.0387, 0.0658, -0.1124], [-0.0830, -0.0948, -0.0894, ..., 0.1000, -0.0382, 0.2405], [ 0.0023, -0.0325, -0.0630, ..., -0.0070, -0.0102, -0.0822], ..., [ 0.0367, -0.1206, 0.1830, ..., 0.0383, -0.1259, 0.0620], [-0.0260, 0.0659, -0.1530, ..., -0.0484, 0.0185, -0.1202], [-0.0644, 0.0826, 0.0422, ..., -0.0648, -0.0544, -0.0357]], device='cuda:0'), grad: tensor([[ 0.0011, 0.0003, 0.0005, ..., 0.0032, 0.0004, 0.0020], [ 0.0021, -0.0002, 0.0011, ..., -0.0015, 0.0008, -0.0030], [ 0.0013, 0.0008, 0.0030, ..., 0.0039, 0.0259, 0.0027], ..., [ 0.0017, 0.0007, -0.0019, ..., 0.0013, 0.0004, -0.0053], [-0.0052, -0.0022, -0.0042, ..., -0.0090, -0.0027, -0.0029], [ 0.0004, -0.0006, -0.0013, ..., 0.0026, 0.0003, 0.0007]], device='cuda:0') Epoch 425, bias, value: tensor([-0.0307, 0.0413, -0.0009, -0.0106, 0.0220, -0.0346, 0.0043, 0.0061, -0.0015, -0.0148], device='cuda:0'), grad: tensor([ 0.0217, -0.0266, 0.0535, -0.0322, -0.0013, 0.0198, 0.0185, -0.0043, -0.0692, 0.0201], device='cuda:0') 100 1e-05 changing lr epoch 424, time 214.79, cls_loss 0.4620 cls_loss_mapping 0.0008 cls_loss_causal 0.3966 re_mapping 0.0067 re_causal 0.0171 /// teacc 99.01 lr 0.00001000 Epoch 426, weight, value: tensor([[-0.0740, -0.1636, -0.1106, ..., -0.0386, 0.0662, -0.1123], [-0.0829, -0.0948, -0.0895, ..., 0.1000, -0.0382, 0.2405], [ 0.0025, -0.0325, -0.0630, ..., -0.0069, -0.0103, -0.0821], ..., [ 0.0367, -0.1206, 0.1829, ..., 0.0382, -0.1259, 0.0618], [-0.0261, 0.0661, -0.1529, ..., -0.0484, 0.0186, -0.1203], [-0.0643, 0.0825, 0.0423, ..., -0.0648, -0.0546, -0.0357]], device='cuda:0'), grad: tensor([[ 3.3647e-05, -7.7486e-04, 1.2100e-05, ..., 1.1578e-05, 6.2275e-04, 2.7180e-04], [-3.5071e-04, 1.2871e-06, -7.3075e-05, ..., -4.9095e-03, -3.7556e-03, 9.0313e-04], [ 9.4235e-05, 4.7398e-04, 2.0266e-04, ..., -6.0043e-03, 8.6355e-04, -4.2992e-03], ..., [ 6.0439e-05, 2.2852e-04, -1.1057e-04, ..., 5.8022e-03, 7.1430e-04, 3.3188e-04], [ 3.3021e-05, 2.9349e-04, 1.6794e-05, ..., 1.4734e-03, 7.2670e-04, 4.6182e-04], [ 6.4254e-05, 2.5272e-04, 4.6402e-05, ..., 1.5354e-03, 6.0701e-04, 3.9244e-04]], device='cuda:0') Epoch 426, bias, value: tensor([-0.0306, 0.0413, -0.0009, -0.0106, 0.0220, -0.0348, 0.0043, 0.0060, -0.0015, -0.0148], device='cuda:0'), grad: tensor([-0.0165, -0.0399, -0.0094, 0.0239, 0.0221, -0.0408, -0.0125, 0.0346, 0.0182, 0.0203], device='cuda:0') 100 1e-05 changing lr epoch 425, time 214.96, cls_loss 0.4991 cls_loss_mapping 0.0008 cls_loss_causal 0.4288 re_mapping 0.0065 re_causal 0.0176 /// teacc 99.02 lr 0.00001000 Epoch 427, weight, value: tensor([[-0.0741, -0.1636, -0.1105, ..., -0.0386, 0.0662, -0.1124], [-0.0829, -0.0949, -0.0896, ..., 0.0998, -0.0382, 0.2404], [ 0.0026, -0.0326, -0.0630, ..., -0.0068, -0.0104, -0.0820], ..., [ 0.0366, -0.1207, 0.1828, ..., 0.0382, -0.1260, 0.0617], [-0.0263, 0.0660, -0.1531, ..., -0.0484, 0.0185, -0.1204], [-0.0642, 0.0825, 0.0423, ..., -0.0648, -0.0546, -0.0357]], device='cuda:0'), grad: tensor([[ 8.4448e-04, 7.4673e-04, 5.5730e-06, ..., -1.2535e-02, 0.0000e+00, 1.3566e-04], [-7.2517e-03, 4.3678e-04, 3.6925e-05, ..., 2.5673e-03, 0.0000e+00, -1.9753e-04], [ 6.0368e-04, 4.4394e-04, 5.7667e-05, ..., 2.3670e-03, 0.0000e+00, 1.7405e-04], ..., [ 7.3624e-04, 7.0095e-04, 6.0701e-04, ..., 6.7940e-03, 0.0000e+00, 2.2488e-03], [ 7.3051e-04, -5.5462e-05, -2.9969e-04, ..., -5.0316e-03, 0.0000e+00, -2.7599e-03], [ 9.3985e-04, -2.5425e-03, -4.0779e-03, ..., 2.6417e-03, 0.0000e+00, -3.7050e-04]], device='cuda:0') Epoch 427, bias, value: tensor([-0.0305, 0.0413, -0.0009, -0.0107, 0.0222, -0.0348, 0.0044, 0.0059, -0.0016, -0.0148], device='cuda:0'), grad: tensor([-0.0060, -0.0025, 0.0245, 0.0280, 0.0357, -0.0720, -0.0078, 0.0137, -0.0026, -0.0110], device='cuda:0') 100 1e-05 changing lr ---------------------saving model at epoch 426---------------------------------------------------- epoch 426, time 231.28, cls_loss 0.4901 cls_loss_mapping 0.0008 cls_loss_causal 0.4202 re_mapping 0.0067 re_causal 0.0175 /// teacc 99.03 lr 0.00001000 Epoch 428, weight, value: tensor([[-0.0740, -0.1636, -0.1105, ..., -0.0384, 0.0661, -0.1123], [-0.0830, -0.0947, -0.0897, ..., 0.0999, -0.0383, 0.2404], [ 0.0028, -0.0326, -0.0629, ..., -0.0068, -0.0102, -0.0820], ..., [ 0.0366, -0.1209, 0.1828, ..., 0.0382, -0.1261, 0.0618], [-0.0262, 0.0661, -0.1531, ..., -0.0482, 0.0186, -0.1204], [-0.0644, 0.0826, 0.0424, ..., -0.0649, -0.0548, -0.0357]], device='cuda:0'), grad: tensor([[-1.5631e-03, -9.2268e-04, 3.7408e-04, ..., 1.0633e-03, 2.1434e-04, 8.9407e-04], [-6.2180e-03, 2.4557e-04, -4.9744e-03, ..., -7.2327e-03, -5.1641e-04, -6.5565e-05], [ 2.3937e-03, 5.5408e-04, 6.2084e-04, ..., 3.1929e-03, 9.8419e-04, 1.4124e-03], ..., [-5.8708e-03, -1.5564e-03, 8.0109e-04, ..., -6.5460e-03, -3.6411e-03, -2.4853e-03], [ 3.6144e-03, 8.8882e-04, 3.5286e-04, ..., 1.7576e-03, 1.0958e-03, 2.4929e-03], [ 9.7418e-04, 4.2528e-05, -2.3818e-04, ..., -1.5602e-03, 2.3580e-04, -8.5220e-03]], device='cuda:0') Epoch 428, bias, value: tensor([-0.0306, 0.0414, -0.0009, -0.0109, 0.0222, -0.0346, 0.0045, 0.0058, -0.0016, -0.0148], device='cuda:0'), grad: tensor([ 0.0088, -0.0132, 0.0216, 0.0245, 0.0198, -0.0105, -0.0140, -0.0449, 0.0247, -0.0167], device='cuda:0') 100 1e-05 changing lr epoch 427, time 214.82, cls_loss 0.4723 cls_loss_mapping 0.0009 cls_loss_causal 0.4176 re_mapping 0.0066 re_causal 0.0174 /// teacc 99.01 lr 0.00001000 Epoch 429, weight, value: tensor([[-0.0739, -0.1635, -0.1105, ..., -0.0382, 0.0662, -0.1123], [-0.0830, -0.0948, -0.0898, ..., 0.0999, -0.0383, 0.2404], [ 0.0027, -0.0327, -0.0628, ..., -0.0068, -0.0102, -0.0821], ..., [ 0.0369, -0.1207, 0.1827, ..., 0.0382, -0.1260, 0.0619], [-0.0261, 0.0661, -0.1530, ..., -0.0483, 0.0185, -0.1205], [-0.0645, 0.0826, 0.0425, ..., -0.0649, -0.0549, -0.0356]], device='cuda:0'), grad: tensor([[ 1.8582e-05, 3.1543e-04, 4.2379e-05, ..., 6.6376e-04, 5.8338e-06, 5.4836e-04], [ 5.8937e-04, 1.2302e-03, 8.0109e-04, ..., 1.0529e-03, 1.7309e-04, 1.7042e-03], [-2.3727e-03, 7.3290e-04, 1.5211e-04, ..., 1.4009e-03, 6.6385e-06, 1.5628e-04], ..., [ 4.1819e-04, -1.5326e-03, 7.5912e-04, ..., -4.4365e-03, 1.9968e-05, -2.3403e-03], [ 2.0180e-03, 1.4114e-03, -3.7456e-04, ..., -2.1610e-03, 1.1466e-05, 1.4200e-03], [-2.5964e-04, 3.3379e-04, -8.6260e-04, ..., 3.1590e-04, 1.3316e-04, -1.6842e-03]], device='cuda:0') Epoch 429, bias, value: tensor([-0.0306, 0.0414, -0.0009, -0.0109, 0.0221, -0.0346, 0.0043, 0.0059, -0.0016, -0.0147], device='cuda:0'), grad: tensor([ 0.0068, 0.0169, 0.0087, 0.0052, 0.0079, 0.0067, -0.0251, -0.0319, 0.0057, -0.0009], device='cuda:0') 100 1e-05 changing lr epoch 428, time 214.56, cls_loss 0.4734 cls_loss_mapping 0.0007 cls_loss_causal 0.4129 re_mapping 0.0066 re_causal 0.0174 /// teacc 99.01 lr 0.00001000 Epoch 430, weight, value: tensor([[-0.0739, -0.1636, -0.1107, ..., -0.0381, 0.0662, -0.1122], [-0.0831, -0.0948, -0.0897, ..., 0.0999, -0.0382, 0.2403], [ 0.0028, -0.0326, -0.0628, ..., -0.0068, -0.0103, -0.0821], ..., [ 0.0370, -0.1207, 0.1828, ..., 0.0383, -0.1261, 0.0620], [-0.0261, 0.0661, -0.1530, ..., -0.0482, 0.0186, -0.1204], [-0.0647, 0.0826, 0.0424, ..., -0.0650, -0.0551, -0.0358]], device='cuda:0'), grad: tensor([[ 1.6578e-07, -6.6459e-06, 5.8487e-06, ..., 2.3949e-04, -1.6773e-04, 3.7491e-05], [-5.5470e-06, 1.3337e-06, 3.8171e-04, ..., 5.6992e-03, 7.0781e-08, 5.5885e-03], [ 2.8312e-07, 3.2391e-06, 4.1509e-04, ..., 7.7820e-04, 1.1176e-07, 1.1677e-04], ..., [ 4.3027e-07, 7.4692e-07, -2.7447e-03, ..., -6.4430e-03, 6.3330e-08, -5.8022e-03], [-8.7991e-06, 1.2472e-05, 2.9778e-04, ..., 5.6839e-04, 1.3057e-06, 1.0264e-04], [ 4.1723e-07, 2.1383e-06, 1.6046e-04, ..., 3.5305e-03, 2.2613e-06, 2.7084e-03]], device='cuda:0') Epoch 430, bias, value: tensor([-0.0306, 0.0415, -0.0009, -0.0111, 0.0220, -0.0344, 0.0044, 0.0059, -0.0015, -0.0149], device='cuda:0'), grad: tensor([ 0.0086, 0.0157, 0.0083, 0.0055, -0.0364, 0.0101, 0.0228, -0.0352, 0.0057, -0.0051], device='cuda:0') 100 1e-05 changing lr epoch 429, time 214.81, cls_loss 0.4506 cls_loss_mapping 0.0009 cls_loss_causal 0.3870 re_mapping 0.0065 re_causal 0.0162 /// teacc 98.97 lr 0.00001000 Epoch 431, weight, value: tensor([[-0.0740, -0.1635, -0.1107, ..., -0.0382, 0.0661, -0.1123], [-0.0830, -0.0949, -0.0897, ..., 0.1000, -0.0383, 0.2404], [ 0.0029, -0.0326, -0.0628, ..., -0.0067, -0.0103, -0.0820], ..., [ 0.0371, -0.1207, 0.1829, ..., 0.0383, -0.1259, 0.0621], [-0.0262, 0.0660, -0.1530, ..., -0.0483, 0.0187, -0.1205], [-0.0648, 0.0827, 0.0425, ..., -0.0649, -0.0550, -0.0359]], device='cuda:0'), grad: tensor([[ 8.6832e-04, 3.0454e-06, 9.0152e-07, ..., 5.0688e-04, 0.0000e+00, 1.2051e-06], [ 1.7905e-04, 1.4007e-06, 3.9451e-06, ..., 3.0971e-04, 0.0000e+00, -2.8163e-06], [ 1.2970e-03, 3.6228e-06, 4.3847e-06, ..., -4.0665e-03, 0.0000e+00, 4.1202e-06], ..., [ 2.7585e-04, 2.9989e-07, -6.4373e-05, ..., 1.1997e-03, 0.0000e+00, -6.9797e-05], [ 1.3990e-03, 5.6028e-05, 4.4703e-06, ..., 6.5804e-04, 0.0000e+00, -6.9141e-06], [-7.7400e-03, 1.6898e-05, 6.3896e-05, ..., 5.0879e-04, 0.0000e+00, 6.5088e-05]], device='cuda:0') Epoch 431, bias, value: tensor([-0.0306, 0.0417, -0.0008, -0.0111, 0.0219, -0.0345, 0.0045, 0.0061, -0.0016, -0.0150], device='cuda:0'), grad: tensor([ 0.0102, -0.0188, -0.0168, 0.0088, 0.0139, -0.0149, 0.0125, 0.0090, 0.0148, -0.0186], device='cuda:0') 100 1e-05 changing lr epoch 430, time 214.65, cls_loss 0.4913 cls_loss_mapping 0.0008 cls_loss_causal 0.4241 re_mapping 0.0064 re_causal 0.0172 /// teacc 98.96 lr 0.00001000 Epoch 432, weight, value: tensor([[-0.0740, -0.1636, -0.1108, ..., -0.0382, 0.0661, -0.1122], [-0.0830, -0.0949, -0.0898, ..., 0.1000, -0.0382, 0.2403], [ 0.0029, -0.0325, -0.0629, ..., -0.0068, -0.0102, -0.0821], ..., [ 0.0371, -0.1209, 0.1829, ..., 0.0384, -0.1260, 0.0622], [-0.0262, 0.0661, -0.1529, ..., -0.0483, 0.0187, -0.1205], [-0.0647, 0.0828, 0.0426, ..., -0.0649, -0.0552, -0.0358]], device='cuda:0'), grad: tensor([[ 8.1956e-05, 1.2589e-04, 1.7452e-04, ..., 2.6345e-04, 1.1873e-04, 2.4021e-04], [ 3.8952e-05, 4.7594e-05, 7.7665e-05, ..., -2.4509e-04, 4.8667e-05, -7.5388e-04], [-5.7650e-04, 9.1732e-05, 1.2267e-04, ..., -1.2321e-03, 8.3089e-05, 4.4405e-05], ..., [-2.2203e-06, 3.3498e-05, -9.0711e-07, ..., 4.1032e-04, 3.5048e-05, -9.9277e-04], [ 1.1611e-04, 3.6001e-04, 1.7905e-04, ..., 3.1066e-04, 1.2136e-04, 3.6979e-04], [ 3.2902e-05, 4.0859e-05, 5.3465e-05, ..., 1.8024e-04, 2.6062e-05, 5.5170e-04]], device='cuda:0') Epoch 432, bias, value: tensor([-0.0307, 0.0415, -0.0008, -0.0111, 0.0220, -0.0345, 0.0045, 0.0061, -0.0016, -0.0149], device='cuda:0'), grad: tensor([ 0.0073, -0.0224, -0.0213, -0.0130, 0.0122, 0.0306, 0.0070, -0.0246, 0.0100, 0.0142], device='cuda:0') 100 1e-05 changing lr epoch 431, time 214.83, cls_loss 0.4837 cls_loss_mapping 0.0010 cls_loss_causal 0.4295 re_mapping 0.0065 re_causal 0.0171 /// teacc 98.94 lr 0.00001000 Epoch 433, weight, value: tensor([[-0.0741, -0.1637, -0.1108, ..., -0.0383, 0.0661, -0.1122], [-0.0830, -0.0950, -0.0898, ..., 0.1000, -0.0383, 0.2403], [ 0.0028, -0.0327, -0.0629, ..., -0.0068, -0.0102, -0.0821], ..., [ 0.0370, -0.1209, 0.1829, ..., 0.0383, -0.1259, 0.0621], [-0.0261, 0.0663, -0.1529, ..., -0.0483, 0.0187, -0.1205], [-0.0647, 0.0828, 0.0426, ..., -0.0649, -0.0552, -0.0359]], device='cuda:0'), grad: tensor([[ 7.8231e-08, 1.5879e-04, 1.2182e-06, ..., 9.6464e-04, 8.2207e-04, 1.7939e-03], [ 2.4065e-06, 1.4998e-05, 6.5155e-06, ..., 1.0557e-03, 7.3290e-04, 8.5115e-05], [ 2.6152e-05, 1.4341e-04, 5.9158e-05, ..., 8.5592e-04, 5.3978e-04, 1.6224e-04], ..., [ 2.0582e-06, 1.9819e-05, 3.8780e-06, ..., 6.1655e-04, 3.6216e-04, -5.0392e-03], [ 2.4363e-06, -3.5152e-03, 6.8173e-06, ..., 1.1559e-03, -3.0289e-03, 1.2684e-04], [ 1.9930e-07, 1.7333e-04, -5.9336e-05, ..., 7.4005e-04, 7.1669e-04, 2.6665e-03]], device='cuda:0') Epoch 433, bias, value: tensor([-0.0308, 0.0414, -0.0008, -0.0109, 0.0218, -0.0345, 0.0046, 0.0061, -0.0016, -0.0148], device='cuda:0'), grad: tensor([-0.0175, 0.0060, 0.0172, -0.0200, 0.0126, -0.0129, 0.0210, -0.0246, 0.0042, 0.0139], device='cuda:0') 100 1e-05 changing lr epoch 432, time 214.60, cls_loss 0.5035 cls_loss_mapping 0.0010 cls_loss_causal 0.4349 re_mapping 0.0063 re_causal 0.0169 /// teacc 98.97 lr 0.00001000 Epoch 434, weight, value: tensor([[-0.0741, -0.1636, -0.1110, ..., -0.0384, 0.0661, -0.1122], [-0.0828, -0.0950, -0.0899, ..., 0.1001, -0.0382, 0.2404], [ 0.0027, -0.0327, -0.0629, ..., -0.0067, -0.0102, -0.0821], ..., [ 0.0370, -0.1210, 0.1828, ..., 0.0382, -0.1259, 0.0619], [-0.0262, 0.0663, -0.1528, ..., -0.0484, 0.0186, -0.1205], [-0.0646, 0.0828, 0.0426, ..., -0.0648, -0.0553, -0.0356]], device='cuda:0'), grad: tensor([[ 1.2153e-04, 3.1829e-04, 1.0854e-04, ..., 1.1148e-03, 8.5354e-04, 5.6601e-04], [ 1.2267e-04, 2.6059e-04, 8.5711e-05, ..., 7.8659e-03, 3.7909e-04, 3.3684e-03], [ 7.8249e-04, -7.5226e-03, -1.1730e-03, ..., -6.0415e-04, 1.2951e-03, 5.5075e-04], ..., [-2.7065e-03, -2.6970e-03, 3.5024e-04, ..., -4.2648e-03, -1.4992e-03, 2.6250e-04], [ 2.9874e-04, -1.1787e-03, 2.5082e-04, ..., 1.9760e-03, -3.3550e-03, 7.2908e-04], [ 5.5075e-04, 3.9444e-03, 1.9550e-03, ..., 2.1477e-03, 9.5892e-04, 1.5125e-03]], device='cuda:0') Epoch 434, bias, value: tensor([-0.0309, 0.0416, -0.0008, -0.0109, 0.0218, -0.0346, 0.0045, 0.0061, -0.0017, -0.0147], device='cuda:0'), grad: tensor([ 0.0175, 0.0229, -0.0153, 0.0249, -0.0296, 0.0374, -0.0242, -0.0489, 0.0223, -0.0071], device='cuda:0') 100 1e-05 changing lr epoch 433, time 214.69, cls_loss 0.4694 cls_loss_mapping 0.0010 cls_loss_causal 0.4016 re_mapping 0.0064 re_causal 0.0169 /// teacc 98.97 lr 0.00001000 Epoch 435, weight, value: tensor([[-0.0742, -0.1637, -0.1108, ..., -0.0384, 0.0661, -0.1123], [-0.0829, -0.0951, -0.0901, ..., 0.1000, -0.0384, 0.2404], [ 0.0027, -0.0327, -0.0629, ..., -0.0067, -0.0102, -0.0822], ..., [ 0.0370, -0.1209, 0.1829, ..., 0.0382, -0.1259, 0.0619], [-0.0260, 0.0662, -0.1528, ..., -0.0483, 0.0186, -0.1207], [-0.0646, 0.0828, 0.0425, ..., -0.0649, -0.0554, -0.0356]], device='cuda:0'), grad: tensor([[ 4.8256e-03, 5.1212e-04, 8.8274e-05, ..., 5.6190e-03, 5.9175e-04, 7.3099e-04], [ 1.2999e-03, 4.9067e-04, 7.3099e-04, ..., -6.9962e-03, -1.4668e-03, 3.5620e-04], [ 5.4979e-04, 4.8876e-04, 1.1665e-04, ..., 2.5940e-03, 2.2924e-04, 5.1260e-04], ..., [ 1.8005e-03, -1.1492e-03, 7.1335e-03, ..., -4.9877e-04, 2.2948e-04, 7.2060e-03], [-9.3508e-04, -1.1187e-03, 1.4389e-04, ..., -4.0588e-03, 7.3552e-05, -2.3251e-03], [-8.9121e-04, 3.7551e-04, -8.7051e-03, ..., -2.1541e-04, 4.3917e-04, -7.7972e-03]], device='cuda:0') Epoch 435, bias, value: tensor([-0.0309, 0.0417, -0.0009, -0.0109, 0.0216, -0.0346, 0.0045, 0.0062, -0.0017, -0.0147], device='cuda:0'), grad: tensor([ 0.0289, -0.0079, 0.0146, 0.0188, 0.0199, -0.0463, -0.0022, 0.0164, -0.0036, -0.0386], device='cuda:0') 100 1e-05 changing lr epoch 434, time 214.09, cls_loss 0.4927 cls_loss_mapping 0.0008 cls_loss_causal 0.4379 re_mapping 0.0065 re_causal 0.0175 /// teacc 98.91 lr 0.00001000 Epoch 436, weight, value: tensor([[-0.0744, -0.1638, -0.1109, ..., -0.0385, 0.0660, -0.1122], [-0.0828, -0.0952, -0.0900, ..., 0.1000, -0.0384, 0.2404], [ 0.0026, -0.0328, -0.0630, ..., -0.0068, -0.0103, -0.0822], ..., [ 0.0371, -0.1208, 0.1829, ..., 0.0382, -0.1259, 0.0619], [-0.0260, 0.0663, -0.1529, ..., -0.0483, 0.0187, -0.1207], [-0.0646, 0.0830, 0.0425, ..., -0.0648, -0.0554, -0.0356]], device='cuda:0'), grad: tensor([[ 5.5695e-04, 2.3931e-05, 4.3321e-04, ..., 5.4550e-04, 3.5286e-04, 3.8415e-05], [-4.4365e-03, -2.0866e-03, 6.5956e-03, ..., 4.2877e-03, -4.2458e-03, 1.0269e-02], [ 6.1989e-04, 3.5143e-04, 1.2004e-04, ..., 1.7462e-03, 5.0259e-04, 1.7703e-04], ..., [ 4.2305e-03, 1.8883e-03, 2.6474e-03, ..., -6.4964e-03, 4.6563e-04, -1.1040e-02], [ 7.4482e-04, 1.6463e-04, 1.1797e-03, ..., 2.0008e-03, 3.9530e-04, 1.5116e-03], [ 7.2479e-04, 2.3508e-04, 6.0120e-03, ..., 1.1597e-03, 5.4693e-04, 7.8487e-04]], device='cuda:0') Epoch 436, bias, value: tensor([-0.0309, 0.0416, -0.0010, -0.0108, 0.0218, -0.0346, 0.0044, 0.0062, -0.0017, -0.0146], device='cuda:0'), grad: tensor([ 0.0269, -0.0501, 0.0117, -0.0123, -0.0022, -0.0229, 0.0115, 0.0274, 0.0149, -0.0050], device='cuda:0') 100 1e-05 changing lr epoch 435, time 214.33, cls_loss 0.4858 cls_loss_mapping 0.0010 cls_loss_causal 0.4282 re_mapping 0.0063 re_causal 0.0166 /// teacc 98.99 lr 0.00001000 Epoch 437, weight, value: tensor([[-0.0743, -0.1638, -0.1110, ..., -0.0385, 0.0660, -0.1121], [-0.0827, -0.0952, -0.0900, ..., 0.1000, -0.0383, 0.2403], [ 0.0027, -0.0327, -0.0628, ..., -0.0068, -0.0102, -0.0822], ..., [ 0.0370, -0.1210, 0.1828, ..., 0.0382, -0.1259, 0.0619], [-0.0259, 0.0665, -0.1530, ..., -0.0483, 0.0187, -0.1206], [-0.0646, 0.0830, 0.0427, ..., -0.0648, -0.0556, -0.0357]], device='cuda:0'), grad: tensor([[ 1.6904e-04, -6.0081e-04, 1.3816e-04, ..., 8.9502e-04, 8.3685e-05, 4.2105e-04], [ 8.0228e-05, -1.6174e-03, -1.1530e-03, ..., 3.5400e-03, 1.1034e-05, 1.4172e-03], [ 1.7202e-04, 4.1938e-04, -2.9404e-02, ..., 1.5860e-03, 4.2409e-05, 1.0223e-03], ..., [ 7.9393e-04, 9.7418e-04, 2.0020e-02, ..., 3.5057e-03, 1.0854e-04, 8.9264e-04], [ 1.4639e-03, 5.5981e-04, 7.1907e-04, ..., 5.8784e-03, 1.7241e-05, 2.0733e-03], [ 6.2466e-04, -1.4706e-03, -1.0166e-03, ..., 2.7065e-03, -3.6383e-04, -3.7241e-04]], device='cuda:0') Epoch 437, bias, value: tensor([-0.0308, 0.0416, -0.0009, -0.0109, 0.0217, -0.0346, 0.0045, 0.0062, -0.0016, -0.0147], device='cuda:0'), grad: tensor([-0.0109, -0.0518, -0.0143, 0.0308, 0.0229, -0.0108, -0.0578, 0.0412, 0.0341, 0.0165], device='cuda:0') 100 1e-05 changing lr epoch 436, time 214.33, cls_loss 0.5079 cls_loss_mapping 0.0009 cls_loss_causal 0.4379 re_mapping 0.0062 re_causal 0.0169 /// teacc 99.00 lr 0.00001000 Epoch 438, weight, value: tensor([[-0.0744, -0.1639, -0.1111, ..., -0.0386, 0.0659, -0.1120], [-0.0828, -0.0952, -0.0900, ..., 0.1000, -0.0382, 0.2403], [ 0.0026, -0.0327, -0.0628, ..., -0.0066, -0.0102, -0.0821], ..., [ 0.0370, -0.1212, 0.1828, ..., 0.0383, -0.1260, 0.0619], [-0.0259, 0.0665, -0.1531, ..., -0.0485, 0.0188, -0.1207], [-0.0646, 0.0831, 0.0427, ..., -0.0648, -0.0557, -0.0355]], device='cuda:0'), grad: tensor([[ 1.3709e-04, -4.7231e-04, 9.9480e-05, ..., 1.7090e-03, 7.3016e-05, 1.8382e-04], [ 5.5742e-04, -1.0386e-03, 2.5868e-04, ..., 2.2068e-03, 3.9768e-04, 6.6042e-04], [-2.4185e-03, 4.2677e-04, 3.9043e-03, ..., 5.5618e-03, 6.6221e-05, -3.6182e-03], ..., [ 2.5883e-03, 7.6342e-04, -3.9330e-03, ..., 2.1496e-03, 7.4208e-05, 3.8013e-03], [-1.6928e-03, -1.7519e-03, -9.4986e-04, ..., 3.8891e-03, 7.7784e-05, -7.9155e-04], [-1.3924e-03, 2.6741e-03, 1.2360e-03, ..., -2.7065e-03, -1.5764e-03, -2.0523e-03]], device='cuda:0') Epoch 438, bias, value: tensor([-0.0310, 0.0416, -0.0008, -0.0109, 0.0216, -0.0347, 0.0046, 0.0063, -0.0017, -0.0146], device='cuda:0'), grad: tensor([-0.0107, -0.0558, 0.0386, 0.0235, 0.0248, -0.0169, -0.0367, 0.0119, 0.0248, -0.0035], device='cuda:0') 100 1e-05 changing lr epoch 437, time 214.26, cls_loss 0.4852 cls_loss_mapping 0.0010 cls_loss_causal 0.4187 re_mapping 0.0061 re_causal 0.0165 /// teacc 98.95 lr 0.00001000 Epoch 439, weight, value: tensor([[-0.0743, -0.1640, -0.1112, ..., -0.0386, 0.0659, -0.1121], [-0.0828, -0.0951, -0.0899, ..., 0.1000, -0.0381, 0.2403], [ 0.0026, -0.0326, -0.0627, ..., -0.0067, -0.0102, -0.0822], ..., [ 0.0371, -0.1213, 0.1828, ..., 0.0385, -0.1262, 0.0620], [-0.0260, 0.0665, -0.1532, ..., -0.0487, 0.0189, -0.1208], [-0.0648, 0.0831, 0.0426, ..., -0.0649, -0.0558, -0.0357]], device='cuda:0'), grad: tensor([[ 5.5879e-09, 2.6393e-04, 9.8050e-05, ..., 1.1578e-03, 4.9591e-04, 2.6894e-04], [ 1.8626e-09, -5.3024e-04, 7.7367e-05, ..., 4.1795e-04, 3.2902e-05, -1.6556e-03], [ 7.5065e-07, 2.6751e-04, 7.1406e-05, ..., 7.3528e-04, -2.5196e-03, 2.1875e-04], ..., [ 1.3039e-08, 3.5214e-04, -8.1682e-04, ..., -8.4152e-03, 2.1785e-05, -6.1274e-04], [-2.8927e-06, 3.6526e-04, 8.4400e-05, ..., 1.3695e-03, 3.3498e-04, 2.7442e-04], [ 1.6764e-08, -2.3537e-03, 1.5604e-04, ..., -1.9951e-03, 1.0157e-04, 3.4380e-04]], device='cuda:0') Epoch 439, bias, value: tensor([-0.0310, 0.0416, -0.0009, -0.0108, 0.0218, -0.0346, 0.0046, 0.0063, -0.0018, -0.0147], device='cuda:0'), grad: tensor([ 0.0213, -0.0433, -0.0133, 0.0230, 0.0160, 0.0247, 0.0291, -0.0432, 0.0214, -0.0357], device='cuda:0') 100 1e-05 changing lr epoch 438, time 214.47, cls_loss 0.5243 cls_loss_mapping 0.0009 cls_loss_causal 0.4552 re_mapping 0.0065 re_causal 0.0177 /// teacc 98.96 lr 0.00001000 Epoch 440, weight, value: tensor([[-0.0745, -0.1639, -0.1113, ..., -0.0388, 0.0659, -0.1123], [-0.0829, -0.0951, -0.0898, ..., 0.1001, -0.0382, 0.2404], [ 0.0027, -0.0326, -0.0626, ..., -0.0068, -0.0101, -0.0822], ..., [ 0.0370, -0.1214, 0.1828, ..., 0.0385, -0.1263, 0.0620], [-0.0261, 0.0665, -0.1533, ..., -0.0488, 0.0189, -0.1208], [-0.0647, 0.0832, 0.0425, ..., -0.0649, -0.0559, -0.0359]], device='cuda:0'), grad: tensor([[-4.1237e-03, -6.2883e-05, 6.9104e-06, ..., -3.8986e-03, 8.5115e-05, -1.1663e-03], [ 8.5497e-04, 3.6945e-03, 3.0119e-06, ..., -2.6627e-03, 9.0748e-06, -4.4250e-03], [-7.8278e-03, -1.8845e-03, 3.5667e-03, ..., -1.0597e-02, 8.5980e-06, 1.2312e-03], ..., [ 1.1139e-03, -2.5368e-04, -4.3983e-03, ..., 1.2579e-03, 2.7902e-06, 5.7125e-04], [-1.5430e-03, -3.0746e-03, 3.1662e-04, ..., -1.4351e-02, 3.1680e-05, -4.5815e-03], [ 9.9564e-04, -8.6975e-03, -5.6744e-04, ..., 4.6425e-03, 1.6317e-05, 8.5878e-04]], device='cuda:0') Epoch 440, bias, value: tensor([-0.0310, 0.0417, -0.0009, -0.0108, 0.0219, -0.0347, 0.0047, 0.0063, -0.0019, -0.0148], device='cuda:0'), grad: tensor([-0.0358, 0.0142, -0.0044, 0.0542, 0.0147, -0.0225, -0.0083, 0.0054, -0.0296, 0.0122], device='cuda:0') 100 1e-05 changing lr epoch 439, time 214.51, cls_loss 0.4752 cls_loss_mapping 0.0009 cls_loss_causal 0.4080 re_mapping 0.0062 re_causal 0.0172 /// teacc 98.95 lr 0.00001000 Epoch 441, weight, value: tensor([[-0.0746, -0.1639, -0.1113, ..., -0.0387, 0.0659, -0.1122], [-0.0829, -0.0949, -0.0899, ..., 0.1002, -0.0384, 0.2402], [ 0.0027, -0.0325, -0.0627, ..., -0.0067, -0.0101, -0.0819], ..., [ 0.0371, -0.1214, 0.1829, ..., 0.0384, -0.1263, 0.0620], [-0.0261, 0.0664, -0.1533, ..., -0.0490, 0.0189, -0.1208], [-0.0648, 0.0833, 0.0424, ..., -0.0651, -0.0560, -0.0359]], device='cuda:0'), grad: tensor([[-4.5471e-03, -6.2714e-03, -1.9350e-03, ..., -1.2756e-02, 9.2149e-05, -3.6373e-03], [-1.4610e-03, 6.6853e-04, 3.0184e-04, ..., 5.3167e-04, 6.6943e-06, 1.3733e-03], [ 6.1703e-04, 2.5082e-04, 4.3178e-04, ..., 3.2215e-03, 3.5316e-05, 2.1172e-03], ..., [ 4.4441e-04, 2.0587e-04, 5.4026e-04, ..., 3.2902e-03, 5.8651e-05, 1.4391e-03], [ 9.6798e-04, 1.6727e-03, 3.2812e-05, ..., 2.8038e-03, 1.8682e-03, -8.4221e-05], [ 6.2656e-04, 5.1975e-04, 1.2398e-03, ..., 3.1509e-03, 2.4188e-04, 1.2941e-03]], device='cuda:0') Epoch 441, bias, value: tensor([-0.0309, 0.0416, -0.0008, -0.0108, 0.0220, -0.0346, 0.0047, 0.0063, -0.0020, -0.0150], device='cuda:0'), grad: tensor([-0.0951, 0.0078, 0.0152, 0.0219, -0.0260, 0.0035, 0.0185, 0.0166, 0.0176, 0.0200], device='cuda:0') 100 1e-05 changing lr epoch 440, time 214.35, cls_loss 0.4906 cls_loss_mapping 0.0009 cls_loss_causal 0.4196 re_mapping 0.0064 re_causal 0.0174 /// teacc 98.99 lr 0.00001000 Epoch 442, weight, value: tensor([[-0.0746, -0.1637, -0.1113, ..., -0.0386, 0.0660, -0.1123], [-0.0830, -0.0951, -0.0900, ..., 0.1001, -0.0384, 0.2403], [ 0.0028, -0.0322, -0.0626, ..., -0.0067, -0.0100, -0.0819], ..., [ 0.0372, -0.1215, 0.1828, ..., 0.0385, -0.1263, 0.0619], [-0.0261, 0.0665, -0.1534, ..., -0.0491, 0.0189, -0.1208], [-0.0649, 0.0831, 0.0423, ..., -0.0651, -0.0561, -0.0359]], device='cuda:0'), grad: tensor([[ 9.4366e-04, 1.0514e-04, 3.5446e-06, ..., 1.0519e-03, -3.8259e-06, 8.2552e-05], [ 1.0765e-04, 4.5508e-05, 7.3910e-06, ..., 9.9659e-04, 0.0000e+00, -2.7400e-06], [ 4.7469e-04, 1.0639e-04, 1.0681e-04, ..., 7.3814e-04, 5.9698e-07, 1.4043e-04], ..., [ 1.0037e-04, -3.9792e-04, -1.5259e-04, ..., -1.5087e-05, 0.0000e+00, 6.6757e-05], [ 8.9073e-04, 1.0794e-04, 6.1877e-06, ..., 1.4486e-03, 0.0000e+00, 2.5773e-04], [ 2.2292e-04, -4.0889e-04, 1.1027e-05, ..., 5.4026e-04, 2.8461e-06, 1.3609e-03]], device='cuda:0') Epoch 442, bias, value: tensor([-0.0308, 0.0417, -0.0007, -0.0109, 0.0219, -0.0346, 0.0047, 0.0062, -0.0021, -0.0150], device='cuda:0'), grad: tensor([ 0.0186, 0.0195, -0.0146, 0.0188, 0.0116, -0.0354, 0.0190, -0.0471, 0.0196, -0.0100], device='cuda:0') 100 1e-05 changing lr epoch 441, time 214.32, cls_loss 0.4853 cls_loss_mapping 0.0009 cls_loss_causal 0.4109 re_mapping 0.0064 re_causal 0.0173 /// teacc 98.98 lr 0.00001000 Epoch 443, weight, value: tensor([[-0.0746, -0.1637, -0.1114, ..., -0.0387, 0.0661, -0.1125], [-0.0830, -0.0953, -0.0900, ..., 0.1001, -0.0384, 0.2403], [ 0.0027, -0.0320, -0.0627, ..., -0.0068, -0.0103, -0.0820], ..., [ 0.0373, -0.1216, 0.1829, ..., 0.0386, -0.1263, 0.0620], [-0.0261, 0.0664, -0.1531, ..., -0.0489, 0.0191, -0.1206], [-0.0650, 0.0831, 0.0423, ..., -0.0652, -0.0559, -0.0359]], device='cuda:0'), grad: tensor([[ 3.4857e-04, -1.0414e-03, 1.6177e-04, ..., -3.5858e-04, 2.5005e-03, 1.5509e-04], [ 2.3365e-03, 2.5487e-04, 9.4223e-04, ..., 2.8038e-03, 4.6992e-04, 3.5882e-04], [ 6.4421e-04, 5.9175e-04, 2.9635e-04, ..., 7.7200e-04, 9.0694e-04, 2.0897e-04], ..., [ 2.4605e-04, 2.2173e-04, -8.7881e-04, ..., -5.6839e-04, 2.5630e-04, 1.0484e-04], [ 4.6802e-04, -2.5868e-05, 4.4131e-04, ..., 1.2703e-03, 1.3485e-03, 1.1688e-04], [ 3.7766e-04, 5.6362e-04, 4.5538e-04, ..., 1.1663e-03, 7.7963e-04, 1.2267e-04]], device='cuda:0') Epoch 443, bias, value: tensor([-0.0310, 0.0417, -0.0007, -0.0109, 0.0220, -0.0347, 0.0048, 0.0063, -0.0019, -0.0150], device='cuda:0'), grad: tensor([-0.0418, 0.0227, 0.0172, -0.0250, -0.0100, -0.0214, 0.0140, 0.0092, 0.0182, 0.0170], device='cuda:0') 100 1e-05 changing lr epoch 442, time 215.03, cls_loss 0.4797 cls_loss_mapping 0.0008 cls_loss_causal 0.4180 re_mapping 0.0063 re_causal 0.0167 /// teacc 98.97 lr 0.00001000 Epoch 444, weight, value: tensor([[-0.0743, -0.1637, -0.1114, ..., -0.0387, 0.0661, -0.1126], [-0.0831, -0.0953, -0.0902, ..., 0.1000, -0.0385, 0.2403], [ 0.0027, -0.0320, -0.0628, ..., -0.0067, -0.0104, -0.0819], ..., [ 0.0373, -0.1215, 0.1830, ..., 0.0387, -0.1261, 0.0620], [-0.0262, 0.0663, -0.1532, ..., -0.0490, 0.0191, -0.1206], [-0.0649, 0.0831, 0.0425, ..., -0.0649, -0.0557, -0.0358]], device='cuda:0'), grad: tensor([[-5.9204e-03, -7.1716e-03, -3.5744e-03, ..., -1.0399e-02, -2.1152e-03, -4.6883e-03], [ 2.7504e-03, -3.0136e-04, 1.6212e-03, ..., 1.6266e-02, 1.9717e-04, 2.5826e-03], [ 8.3065e-04, 5.1689e-04, 4.6206e-04, ..., 4.2953e-03, 1.3053e-04, 1.8044e-03], ..., [-1.1206e-03, 5.9652e-04, 9.8953e-03, ..., 3.4046e-04, 1.4591e-04, -4.6043e-03], [-6.2895e-04, 1.9608e-03, 1.3676e-03, ..., 9.5665e-06, 6.0415e-04, 4.8981e-03], [-3.9744e-04, 8.8167e-04, -1.3008e-02, ..., -7.8430e-03, 3.2353e-04, -1.9102e-03]], device='cuda:0') Epoch 444, bias, value: tensor([-0.0311, 0.0416, -0.0007, -0.0110, 0.0220, -0.0348, 0.0048, 0.0064, -0.0020, -0.0149], device='cuda:0'), grad: tensor([-0.0685, 0.0093, 0.0219, 0.0435, -0.0101, 0.0009, -0.0027, 0.0079, 0.0113, -0.0133], device='cuda:0') 100 1e-05 changing lr epoch 443, time 214.98, cls_loss 0.5121 cls_loss_mapping 0.0009 cls_loss_causal 0.4403 re_mapping 0.0062 re_causal 0.0171 /// teacc 99.00 lr 0.00001000 Epoch 445, weight, value: tensor([[-0.0744, -0.1637, -0.1114, ..., -0.0388, 0.0662, -0.1127], [-0.0829, -0.0954, -0.0902, ..., 0.1001, -0.0386, 0.2404], [ 0.0026, -0.0321, -0.0630, ..., -0.0066, -0.0104, -0.0819], ..., [ 0.0373, -0.1216, 0.1830, ..., 0.0386, -0.1261, 0.0621], [-0.0263, 0.0664, -0.1533, ..., -0.0491, 0.0192, -0.1207], [-0.0649, 0.0831, 0.0425, ..., -0.0648, -0.0556, -0.0356]], device='cuda:0'), grad: tensor([[ 5.4948e-07, 1.3151e-03, 3.1900e-04, ..., 2.1667e-03, 2.1759e-02, 7.4148e-05], [ 5.7071e-06, 2.0778e-04, 3.8218e-04, ..., 1.5144e-03, 3.6657e-05, -7.0453e-05], [ 5.8971e-06, -6.8665e-05, -2.1648e-03, ..., -5.9662e-03, 1.9372e-04, 2.5678e-04], ..., [ 7.6723e-04, 8.0299e-04, 4.8375e-04, ..., 1.4277e-03, 6.2406e-05, -2.2829e-04], [ 1.1176e-04, 1.8454e-03, 1.0526e-04, ..., 1.1129e-03, 1.1940e-03, -4.7898e-04], [-1.4696e-03, -8.5163e-04, 1.6868e-04, ..., 9.6178e-04, 7.5102e-05, 1.5771e-04]], device='cuda:0') Epoch 445, bias, value: tensor([-0.0312, 0.0418, -0.0007, -0.0109, 0.0220, -0.0348, 0.0049, 0.0064, -0.0020, -0.0149], device='cuda:0'), grad: tensor([ 0.0453, 0.0239, -0.0329, -0.0362, 0.0169, -0.0063, -0.0112, -0.0085, -0.0074, 0.0164], device='cuda:0') 100 1e-05 changing lr epoch 444, time 214.89, cls_loss 0.4655 cls_loss_mapping 0.0009 cls_loss_causal 0.4020 re_mapping 0.0061 re_causal 0.0166 /// teacc 98.99 lr 0.00001000 Epoch 446, weight, value: tensor([[-0.0744, -0.1633, -0.1114, ..., -0.0386, 0.0662, -0.1126], [-0.0830, -0.0954, -0.0902, ..., 0.0998, -0.0386, 0.2403], [ 0.0026, -0.0321, -0.0630, ..., -0.0066, -0.0105, -0.0819], ..., [ 0.0374, -0.1215, 0.1832, ..., 0.0387, -0.1261, 0.0622], [-0.0262, 0.0663, -0.1533, ..., -0.0491, 0.0190, -0.1208], [-0.0650, 0.0831, 0.0425, ..., -0.0650, -0.0557, -0.0356]], device='cuda:0'), grad: tensor([[ 8.4281e-05, 1.2171e-04, 4.5262e-06, ..., 1.9150e-03, 8.1301e-05, 3.3766e-05], [-1.1396e-03, -2.8968e-04, 3.1203e-05, ..., -7.6332e-03, -1.2903e-03, -3.5596e-04], [ 2.8515e-04, -1.1196e-03, -9.5520e-03, ..., 2.3937e-03, 3.7837e-04, 2.4244e-05], ..., [ 1.1832e-04, -2.6178e-04, -6.8188e-05, ..., 1.2712e-03, 1.3256e-04, 6.8069e-05], [ 1.8239e-04, -3.1161e-04, 2.7329e-05, ..., 1.8578e-03, 1.9312e-04, 6.5565e-05], [ 4.1187e-05, -8.5640e-04, -1.4982e-03, ..., 1.5898e-03, 4.5925e-05, 2.7791e-05]], device='cuda:0') Epoch 446, bias, value: tensor([-0.0312, 0.0416, -0.0007, -0.0109, 0.0221, -0.0347, 0.0049, 0.0065, -0.0020, -0.0150], device='cuda:0'), grad: tensor([ 0.0144, -0.0333, 0.0107, -0.0048, 0.0139, 0.0154, 0.0153, -0.0348, -0.0135, 0.0168], device='cuda:0') 100 1e-05 changing lr epoch 445, time 215.03, cls_loss 0.5093 cls_loss_mapping 0.0009 cls_loss_causal 0.4464 re_mapping 0.0062 re_causal 0.0170 /// teacc 98.99 lr 0.00001000 Epoch 447, weight, value: tensor([[-0.0743, -0.1633, -0.1112, ..., -0.0384, 0.0663, -0.1126], [-0.0830, -0.0954, -0.0902, ..., 0.0999, -0.0384, 0.2402], [ 0.0026, -0.0322, -0.0629, ..., -0.0066, -0.0107, -0.0818], ..., [ 0.0374, -0.1216, 0.1831, ..., 0.0387, -0.1262, 0.0621], [-0.0261, 0.0664, -0.1534, ..., -0.0491, 0.0189, -0.1206], [-0.0649, 0.0832, 0.0426, ..., -0.0651, -0.0557, -0.0356]], device='cuda:0'), grad: tensor([[ 1.6727e-03, 2.0409e-03, 1.5593e-04, ..., -7.1602e-03, -6.4993e-04, -2.4796e-03], [ 4.9019e-04, 1.9800e-06, 7.4692e-07, ..., 2.3842e-03, 5.2094e-05, 2.8920e-04], [ 9.0313e-04, 4.7565e-04, 4.1306e-05, ..., 4.6692e-03, 2.3156e-05, 5.9223e-04], ..., [-4.2000e-03, 2.8744e-05, 1.2644e-05, ..., -5.7220e-03, 1.7628e-05, 8.4991e-03], [ 1.9875e-03, 1.8787e-03, 1.6415e-04, ..., 7.8278e-03, 3.4571e-05, 4.5300e-04], [-2.1992e-03, -5.2185e-03, -5.3978e-04, ..., 1.5993e-03, 2.7108e-04, -8.1482e-03]], device='cuda:0') Epoch 447, bias, value: tensor([-0.0312, 0.0418, -0.0006, -0.0109, 0.0220, -0.0347, 0.0049, 0.0064, -0.0021, -0.0150], device='cuda:0'), grad: tensor([-0.0397, 0.0136, 0.0017, -0.0181, -0.0042, 0.0177, 0.0158, 0.0056, 0.0301, -0.0224], device='cuda:0') 100 1e-05 changing lr epoch 446, time 215.23, cls_loss 0.4908 cls_loss_mapping 0.0008 cls_loss_causal 0.4181 re_mapping 0.0060 re_causal 0.0167 /// teacc 98.97 lr 0.00001000 Epoch 448, weight, value: tensor([[-0.0743, -0.1634, -0.1112, ..., -0.0384, 0.0665, -0.1126], [-0.0831, -0.0955, -0.0901, ..., 0.1000, -0.0384, 0.2403], [ 0.0025, -0.0320, -0.0630, ..., -0.0066, -0.0108, -0.0819], ..., [ 0.0374, -0.1216, 0.1830, ..., 0.0387, -0.1262, 0.0622], [-0.0263, 0.0663, -0.1535, ..., -0.0491, 0.0188, -0.1207], [-0.0649, 0.0832, 0.0426, ..., -0.0650, -0.0556, -0.0356]], device='cuda:0'), grad: tensor([[ 2.9087e-04, 3.8910e-04, 1.1673e-03, ..., 7.4730e-03, 4.2081e-04, 2.9469e-03], [ 7.5519e-05, 9.4795e-04, 1.2243e-04, ..., 8.0185e-03, 5.3018e-05, -7.4768e-04], [ 1.3411e-04, 3.0208e-04, 4.0197e-04, ..., -4.5395e-03, 1.8930e-04, 9.4080e-04], ..., [-3.7384e-04, -2.5702e-04, 1.3552e-03, ..., -1.4748e-02, -3.2330e-04, 2.0325e-04], [-5.8317e-04, -2.6093e-02, -2.7885e-03, ..., -4.8752e-03, -4.7493e-03, -5.9128e-03], [ 9.3758e-05, 8.2779e-04, -1.1559e-03, ..., -2.0027e-04, 2.4402e-04, 1.5364e-03]], device='cuda:0') Epoch 448, bias, value: tensor([-0.0312, 0.0418, -0.0007, -0.0108, 0.0219, -0.0347, 0.0049, 0.0063, -0.0022, -0.0149], device='cuda:0'), grad: tensor([ 0.0328, 0.0036, -0.0091, 0.0215, 0.0084, 0.0262, -0.0115, -0.0314, -0.0343, -0.0064], device='cuda:0') 100 1e-05 changing lr epoch 447, time 215.29, cls_loss 0.5015 cls_loss_mapping 0.0009 cls_loss_causal 0.4251 re_mapping 0.0061 re_causal 0.0167 /// teacc 99.02 lr 0.00001000 Epoch 449, weight, value: tensor([[-0.0741, -0.1632, -0.1113, ..., -0.0384, 0.0665, -0.1127], [-0.0831, -0.0955, -0.0900, ..., 0.1000, -0.0385, 0.2404], [ 0.0024, -0.0320, -0.0629, ..., -0.0068, -0.0106, -0.0819], ..., [ 0.0374, -0.1218, 0.1830, ..., 0.0388, -0.1260, 0.0620], [-0.0262, 0.0663, -0.1536, ..., -0.0490, 0.0188, -0.1207], [-0.0650, 0.0832, 0.0427, ..., -0.0651, -0.0557, -0.0355]], device='cuda:0'), grad: tensor([[ 4.2367e-04, 5.7173e-04, 2.7275e-04, ..., 1.7509e-03, 5.0974e-04, 2.4390e-04], [-1.5440e-03, 3.7003e-04, -3.6899e-06, ..., -6.5880e-03, 9.0957e-05, -1.5144e-03], [-5.3406e-03, -1.0391e-02, 1.2708e-04, ..., -3.4161e-03, -1.4435e-02, 1.0592e-04], ..., [-2.2202e-03, 6.1226e-04, -4.8327e-04, ..., 1.8501e-04, 1.4341e-04, -1.2817e-03], [ 4.4746e-03, 3.1452e-03, 1.3724e-05, ..., 2.3575e-03, 6.5269e-03, 2.1362e-03], [ 7.8344e-04, 1.5554e-03, 1.0443e-04, ..., 1.2493e-03, 1.6081e-04, 1.6940e-04]], device='cuda:0') Epoch 449, bias, value: tensor([-0.0311, 0.0418, -0.0007, -0.0109, 0.0220, -0.0346, 0.0047, 0.0063, -0.0020, -0.0150], device='cuda:0'), grad: tensor([ 0.0142, -0.0534, -0.0268, 0.0143, 0.0112, 0.0108, -0.0168, 0.0072, 0.0250, 0.0144], device='cuda:0') 100 1e-05 changing lr epoch 448, time 215.00, cls_loss 0.4637 cls_loss_mapping 0.0009 cls_loss_causal 0.3959 re_mapping 0.0062 re_causal 0.0165 /// teacc 98.99 lr 0.00001000 Epoch 450, weight, value: tensor([[-0.0741, -0.1631, -0.1112, ..., -0.0383, 0.0665, -0.1127], [-0.0831, -0.0958, -0.0901, ..., 0.1000, -0.0383, 0.2404], [ 0.0025, -0.0318, -0.0630, ..., -0.0066, -0.0106, -0.0821], ..., [ 0.0374, -0.1221, 0.1830, ..., 0.0388, -0.1260, 0.0618], [-0.0262, 0.0662, -0.1537, ..., -0.0490, 0.0187, -0.1206], [-0.0649, 0.0833, 0.0429, ..., -0.0650, -0.0556, -0.0354]], device='cuda:0'), grad: tensor([[ 1.0556e-04, -3.9792e-04, 1.1571e-05, ..., -5.1451e-04, 1.4119e-05, 5.0306e-04], [ 5.3681e-06, 9.6440e-05, 1.8507e-05, ..., -3.4790e-03, 1.3802e-06, 5.0507e-03], [ 1.2755e-04, 2.5773e-04, -4.0030e-04, ..., 4.0936e-04, 1.2204e-05, 4.0746e-04], ..., [ 9.4343e-07, 1.6570e-04, -3.3689e-04, ..., 3.5834e-04, 1.1213e-06, 7.3099e-04], [-5.4550e-04, 1.5116e-04, 6.4552e-05, ..., -3.1185e-04, 2.8276e-04, -1.4565e-02], [ 1.9491e-05, -4.6223e-05, 6.1560e-04, ..., 4.1246e-04, 8.6427e-06, 5.9319e-04]], device='cuda:0') Epoch 450, bias, value: tensor([-0.0311, 0.0418, -0.0006, -0.0109, 0.0219, -0.0346, 0.0046, 0.0063, -0.0020, -0.0149], device='cuda:0'), grad: tensor([-0.0258, 0.0112, 0.0068, -0.0049, 0.0151, 0.0030, 0.0082, -0.0204, -0.0254, 0.0321], device='cuda:0') 100 1e-05 changing lr epoch 449, time 214.86, cls_loss 0.4897 cls_loss_mapping 0.0007 cls_loss_causal 0.4290 re_mapping 0.0063 re_causal 0.0171 /// teacc 99.01 lr 0.00001000 Epoch 451, weight, value: tensor([[-0.0740, -0.1631, -0.1111, ..., -0.0382, 0.0663, -0.1127], [-0.0833, -0.0958, -0.0899, ..., 0.1000, -0.0383, 0.2403], [ 0.0025, -0.0318, -0.0631, ..., -0.0067, -0.0105, -0.0821], ..., [ 0.0375, -0.1220, 0.1831, ..., 0.0388, -0.1260, 0.0620], [-0.0262, 0.0661, -0.1538, ..., -0.0490, 0.0186, -0.1205], [-0.0650, 0.0833, 0.0428, ..., -0.0651, -0.0557, -0.0356]], device='cuda:0'), grad: tensor([[ 1.3885e-03, 4.5896e-04, 4.7374e-04, ..., 4.8218e-03, 7.9691e-05, 9.2411e-04], [ 8.2445e-04, 2.4402e-04, 1.2465e-03, ..., 3.0766e-03, 1.5557e-05, 8.4972e-04], [ 7.8201e-04, 2.7370e-04, 6.4754e-04, ..., 2.8782e-03, 3.6091e-05, 5.8794e-04], ..., [ 5.9128e-04, 3.5000e-04, -4.2152e-04, ..., -9.8190e-03, 3.8505e-05, -2.5368e-03], [ 9.1743e-04, 7.2002e-04, 3.4642e-04, ..., 3.5915e-03, 6.3598e-05, 6.6757e-04], [ 1.8711e-03, -1.8823e-04, 5.4646e-04, ..., 4.7798e-03, 1.0592e-04, 9.5797e-04]], device='cuda:0') Epoch 451, bias, value: tensor([-0.0311, 0.0417, -0.0007, -0.0108, 0.0220, -0.0345, 0.0047, 0.0064, -0.0022, -0.0150], device='cuda:0'), grad: tensor([ 0.0304, 0.0303, 0.0237, -0.0665, 0.0098, -0.0104, -0.0063, -0.0368, 0.0295, -0.0037], device='cuda:0') 100 1e-05 changing lr epoch 450, time 214.89, cls_loss 0.4779 cls_loss_mapping 0.0008 cls_loss_causal 0.4158 re_mapping 0.0062 re_causal 0.0170 /// teacc 98.99 lr 0.00001000 Epoch 452, weight, value: tensor([[-0.0741, -0.1631, -0.1112, ..., -0.0381, 0.0664, -0.1128], [-0.0833, -0.0959, -0.0900, ..., 0.0998, -0.0383, 0.2403], [ 0.0024, -0.0317, -0.0631, ..., -0.0067, -0.0105, -0.0821], ..., [ 0.0374, -0.1221, 0.1830, ..., 0.0389, -0.1260, 0.0620], [-0.0262, 0.0660, -0.1539, ..., -0.0492, 0.0185, -0.1206], [-0.0650, 0.0833, 0.0429, ..., -0.0651, -0.0560, -0.0355]], device='cuda:0'), grad: tensor([[ 3.1519e-04, 4.7654e-05, 5.2738e-04, ..., 1.4191e-03, 4.9639e-04, 3.6860e-04], [ 3.7026e-04, 4.5538e-05, 5.0354e-04, ..., 8.3256e-04, 2.4116e-04, 3.3045e-04], [ 3.7837e-04, 5.2929e-04, 5.9986e-04, ..., -1.8864e-03, -1.2898e-04, 2.9087e-04], ..., [ 3.7408e-04, 1.6892e-04, 9.1410e-04, ..., 1.3666e-03, 2.2686e-04, 7.1573e-04], [ 1.0576e-03, 6.2866e-03, 1.1520e-03, ..., 7.2441e-03, 6.8605e-05, 1.0805e-03], [ 6.0225e-04, 1.0240e-04, 2.1114e-03, ..., 2.5463e-03, 3.9339e-04, 1.6298e-03]], device='cuda:0') Epoch 452, bias, value: tensor([-0.0310, 0.0417, -0.0005, -0.0109, 0.0221, -0.0347, 0.0046, 0.0064, -0.0022, -0.0150], device='cuda:0'), grad: tensor([ 0.0143, 0.0083, -0.0581, 0.0094, -0.0274, 0.0117, -0.0223, 0.0127, 0.0295, 0.0220], device='cuda:0') 100 1e-05 changing lr epoch 451, time 214.68, cls_loss 0.4959 cls_loss_mapping 0.0008 cls_loss_causal 0.4313 re_mapping 0.0062 re_causal 0.0166 /// teacc 98.98 lr 0.00001000 Epoch 453, weight, value: tensor([[-0.0739, -0.1631, -0.1111, ..., -0.0381, 0.0663, -0.1129], [-0.0834, -0.0958, -0.0900, ..., 0.0998, -0.0383, 0.2403], [ 0.0025, -0.0317, -0.0631, ..., -0.0068, -0.0104, -0.0819], ..., [ 0.0374, -0.1220, 0.1831, ..., 0.0391, -0.1260, 0.0621], [-0.0262, 0.0662, -0.1535, ..., -0.0491, 0.0186, -0.1206], [-0.0653, 0.0833, 0.0429, ..., -0.0652, -0.0560, -0.0356]], device='cuda:0'), grad: tensor([[ 1.5521e-04, 2.8515e-04, 9.9540e-05, ..., -1.1101e-02, 1.6661e-06, 9.3222e-05], [-1.5650e-03, 1.7488e-04, 8.7500e-05, ..., -3.7980e-04, 2.7865e-06, 8.5294e-05], [ 2.7061e-04, 6.5231e-04, 8.1301e-04, ..., 3.7155e-03, 3.0905e-05, 3.3712e-04], ..., [ 5.1200e-05, 1.8251e-04, 1.7975e-02, ..., 1.1627e-02, 1.4812e-05, -4.0388e-04], [ 2.4724e-04, 1.0872e-03, 3.8767e-04, ..., 2.4929e-03, 9.0525e-06, -1.2522e-03], [ 8.6188e-05, -2.5391e-02, -1.6708e-03, ..., 1.6575e-03, 6.7770e-05, 8.1110e-04]], device='cuda:0') Epoch 453, bias, value: tensor([-0.0310, 0.0416, -0.0006, -0.0109, 0.0221, -0.0346, 0.0046, 0.0065, -0.0022, -0.0150], device='cuda:0'), grad: tensor([-0.0420, -0.0187, 0.0292, -0.0196, 0.0137, 0.0167, 0.0226, -0.0145, 0.0124, 0.0001], device='cuda:0') 100 1e-05 changing lr epoch 452, time 214.83, cls_loss 0.4911 cls_loss_mapping 0.0010 cls_loss_causal 0.4322 re_mapping 0.0061 re_causal 0.0164 /// teacc 98.99 lr 0.00001000 Epoch 454, weight, value: tensor([[-0.0738, -0.1631, -0.1111, ..., -0.0380, 0.0664, -0.1127], [-0.0836, -0.0958, -0.0901, ..., 0.0997, -0.0383, 0.2402], [ 0.0024, -0.0318, -0.0631, ..., -0.0069, -0.0105, -0.0821], ..., [ 0.0376, -0.1219, 0.1832, ..., 0.0392, -0.1260, 0.0620], [-0.0261, 0.0662, -0.1534, ..., -0.0493, 0.0187, -0.1206], [-0.0653, 0.0834, 0.0428, ..., -0.0652, -0.0559, -0.0356]], device='cuda:0'), grad: tensor([[ 8.3971e-04, 4.0364e-04, 2.1845e-05, ..., 1.7319e-03, 5.4932e-04, 6.6710e-04], [ 4.8351e-04, 1.4877e-04, 1.6913e-05, ..., 1.2569e-03, 3.7241e-04, 3.7456e-04], [ 3.3116e-04, 5.3376e-05, 4.9257e-04, ..., 1.4563e-03, 2.3901e-04, 4.3941e-04], ..., [ 5.8842e-04, 3.5882e-05, -5.5790e-04, ..., -6.6233e-04, 5.7364e-04, 1.7250e-04], [ 7.8249e-04, 6.9761e-04, 5.5522e-05, ..., -9.9373e-04, 3.4165e-04, 6.2180e-04], [-3.3569e-03, -3.0003e-03, -2.2182e-03, ..., -4.0970e-03, -3.7117e-03, -2.1248e-03]], device='cuda:0') Epoch 454, bias, value: tensor([-0.0308, 0.0414, -0.0006, -0.0109, 0.0220, -0.0346, 0.0046, 0.0067, -0.0023, -0.0152], device='cuda:0'), grad: tensor([ 0.0157, 0.0161, 0.0129, -0.0499, -0.0198, 0.0325, 0.0430, -0.0161, -0.0144, -0.0200], device='cuda:0') 100 1e-05 changing lr epoch 453, time 214.71, cls_loss 0.4797 cls_loss_mapping 0.0009 cls_loss_causal 0.4175 re_mapping 0.0059 re_causal 0.0162 /// teacc 98.99 lr 0.00001000 Epoch 455, weight, value: tensor([[-0.0738, -0.1631, -0.1110, ..., -0.0381, 0.0665, -0.1128], [-0.0836, -0.0958, -0.0899, ..., 0.0997, -0.0383, 0.2403], [ 0.0024, -0.0317, -0.0632, ..., -0.0069, -0.0106, -0.0820], ..., [ 0.0376, -0.1216, 0.1834, ..., 0.0393, -0.1260, 0.0620], [-0.0261, 0.0662, -0.1534, ..., -0.0492, 0.0188, -0.1205], [-0.0653, 0.0834, 0.0427, ..., -0.0653, -0.0561, -0.0358]], device='cuda:0'), grad: tensor([[ 1.6198e-05, 9.1672e-05, 5.6531e-07, ..., -5.1022e-04, -3.7178e-06, -2.2106e-03], [-6.9663e-06, 7.2643e-07, -8.9630e-06, ..., -4.0054e-04, 2.2352e-08, 4.8709e-04], [ 9.5740e-07, 3.0119e-06, -6.1765e-06, ..., 8.3876e-04, -3.0577e-05, -2.6321e-03], ..., [ 5.7146e-06, 1.0449e-06, 1.5154e-05, ..., -1.6766e-03, 2.0877e-05, 3.6311e-04], [ 2.2626e-04, 1.2856e-03, 5.5246e-06, ..., 1.0796e-03, 1.1129e-06, 1.7319e-03], [ 2.0564e-06, 6.8992e-06, 4.3586e-06, ..., 6.8283e-04, 1.2666e-07, 3.2330e-04]], device='cuda:0') Epoch 455, bias, value: tensor([-0.0308, 0.0415, -0.0007, -0.0109, 0.0219, -0.0345, 0.0046, 0.0067, -0.0022, -0.0153], device='cuda:0'), grad: tensor([-0.0098, -0.0160, 0.0106, -0.0105, 0.0050, 0.0138, 0.0127, -0.0467, 0.0193, 0.0216], device='cuda:0') 100 1e-05 changing lr epoch 454, time 214.43, cls_loss 0.4938 cls_loss_mapping 0.0010 cls_loss_causal 0.4257 re_mapping 0.0060 re_causal 0.0162 /// teacc 98.98 lr 0.00001000 Epoch 456, weight, value: tensor([[-0.0740, -0.1632, -0.1111, ..., -0.0382, 0.0665, -0.1128], [-0.0838, -0.0958, -0.0900, ..., 0.0997, -0.0383, 0.2401], [ 0.0024, -0.0319, -0.0631, ..., -0.0071, -0.0105, -0.0821], ..., [ 0.0377, -0.1217, 0.1834, ..., 0.0393, -0.1262, 0.0621], [-0.0260, 0.0662, -0.1535, ..., -0.0490, 0.0188, -0.1204], [-0.0652, 0.0834, 0.0428, ..., -0.0653, -0.0562, -0.0359]], device='cuda:0'), grad: tensor([[-2.7103e-03, -5.1231e-03, 1.9681e-04, ..., -2.6169e-03, 2.3174e-04, -1.3447e-03], [ 1.3218e-03, 1.9951e-03, 2.5302e-05, ..., 1.1797e-03, 1.3781e-04, 5.1737e-04], [ 7.4196e-04, 8.5402e-04, 1.4424e-04, ..., 2.1591e-03, -5.6953e-03, 2.2578e-04], ..., [ 3.2177e-03, 1.7071e-04, -1.6336e-03, ..., 5.7297e-03, 1.6594e-04, 1.6630e-04], [ 4.7827e-04, 4.5943e-04, 7.0512e-05, ..., 2.1706e-03, 9.4354e-05, 1.2243e-04], [ 1.6298e-03, 1.5116e-03, 3.0351e-04, ..., -2.2736e-03, 2.8896e-04, 6.0749e-04]], device='cuda:0') Epoch 456, bias, value: tensor([-0.0310, 0.0415, -0.0008, -0.0108, 0.0218, -0.0343, 0.0045, 0.0068, -0.0021, -0.0153], device='cuda:0'), grad: tensor([-0.0043, -0.0957, -0.0015, 0.0254, 0.0458, -0.0638, 0.0271, 0.0398, 0.0242, 0.0031], device='cuda:0') 100 1e-05 changing lr epoch 455, time 214.31, cls_loss 0.4966 cls_loss_mapping 0.0009 cls_loss_causal 0.4306 re_mapping 0.0061 re_causal 0.0164 /// teacc 98.94 lr 0.00001000 Epoch 457, weight, value: tensor([[-0.0740, -0.1633, -0.1113, ..., -0.0381, 0.0665, -0.1129], [-0.0837, -0.0959, -0.0900, ..., 0.0998, -0.0381, 0.2401], [ 0.0023, -0.0316, -0.0630, ..., -0.0070, -0.0105, -0.0820], ..., [ 0.0378, -0.1217, 0.1834, ..., 0.0393, -0.1262, 0.0622], [-0.0261, 0.0662, -0.1534, ..., -0.0492, 0.0187, -0.1205], [-0.0651, 0.0833, 0.0428, ..., -0.0651, -0.0563, -0.0360]], device='cuda:0'), grad: tensor([[ 1.0766e-05, -4.4513e-04, 4.3213e-06, ..., -1.9503e-03, 8.7358e-07, 4.8018e-04], [ 2.3637e-06, 2.3901e-04, -2.9936e-05, ..., 9.0637e-03, -1.1325e-05, 7.8583e-03], [ 1.1362e-06, 4.0221e-04, 2.7433e-05, ..., -1.1658e-02, 9.6951e-07, -1.2955e-02], ..., [ 5.1372e-06, -2.8110e-04, 6.3717e-05, ..., 8.4448e-04, 1.1303e-05, 1.0195e-03], [ 7.5519e-05, 5.4884e-04, 7.4446e-05, ..., 2.8229e-03, 9.6262e-06, 1.1740e-03], [ 1.8585e-04, 1.1911e-03, 1.9989e-03, ..., 1.3123e-03, 3.6931e-04, 1.8549e-03]], device='cuda:0') Epoch 457, bias, value: tensor([-0.0310, 0.0415, -0.0007, -0.0108, 0.0218, -0.0342, 0.0045, 0.0067, -0.0021, -0.0152], device='cuda:0'), grad: tensor([-0.0456, 0.0371, -0.0130, -0.0152, -0.0160, 0.0145, 0.0292, -0.0083, 0.0221, -0.0049], device='cuda:0') 100 1e-05 changing lr epoch 456, time 214.42, cls_loss 0.4948 cls_loss_mapping 0.0009 cls_loss_causal 0.4291 re_mapping 0.0062 re_causal 0.0167 /// teacc 98.95 lr 0.00001000 Epoch 458, weight, value: tensor([[-0.0740, -0.1634, -0.1115, ..., -0.0382, 0.0665, -0.1130], [-0.0837, -0.0960, -0.0900, ..., 0.0997, -0.0382, 0.2403], [ 0.0023, -0.0316, -0.0630, ..., -0.0068, -0.0104, -0.0819], ..., [ 0.0379, -0.1217, 0.1833, ..., 0.0392, -0.1263, 0.0622], [-0.0262, 0.0663, -0.1533, ..., -0.0491, 0.0188, -0.1204], [-0.0651, 0.0832, 0.0429, ..., -0.0652, -0.0561, -0.0361]], device='cuda:0'), grad: tensor([[-2.8076e-03, 5.7518e-05, 1.8525e-04, ..., 2.5272e-04, 5.5015e-05, 1.1091e-03], [ 2.2392e-03, -6.9571e-04, -1.9026e-03, ..., -4.9782e-03, -1.1200e-04, -1.7452e-04], [ 3.9749e-03, 6.7055e-05, 4.4203e-04, ..., 3.5839e-03, 1.7241e-05, 1.0099e-03], ..., [ 1.2703e-03, 7.5161e-05, 8.4448e-04, ..., 4.1924e-03, 2.0400e-05, 1.0996e-03], [ 2.5444e-03, 9.5963e-05, -1.7757e-03, ..., 4.0436e-03, 8.2016e-05, 1.0309e-03], [-5.6038e-03, 5.7697e-05, 1.2007e-03, ..., -1.2665e-02, -2.4176e-04, -3.2787e-03]], device='cuda:0') Epoch 458, bias, value: tensor([-0.0310, 0.0414, -0.0004, -0.0109, 0.0218, -0.0341, 0.0044, 0.0066, -0.0022, -0.0152], device='cuda:0'), grad: tensor([-0.0003, -0.0688, 0.0280, 0.0269, -0.0064, -0.0101, 0.0327, 0.0229, -0.0053, -0.0194], device='cuda:0') 100 1e-05 changing lr epoch 457, time 214.34, cls_loss 0.4946 cls_loss_mapping 0.0010 cls_loss_causal 0.4292 re_mapping 0.0060 re_causal 0.0165 /// teacc 98.96 lr 0.00001000 Epoch 459, weight, value: tensor([[-0.0741, -0.1633, -0.1114, ..., -0.0382, 0.0664, -0.1130], [-0.0836, -0.0960, -0.0900, ..., 0.0997, -0.0382, 0.2404], [ 0.0023, -0.0317, -0.0630, ..., -0.0069, -0.0104, -0.0820], ..., [ 0.0378, -0.1217, 0.1831, ..., 0.0392, -0.1264, 0.0621], [-0.0262, 0.0662, -0.1534, ..., -0.0492, 0.0187, -0.1204], [-0.0652, 0.0833, 0.0432, ..., -0.0652, -0.0561, -0.0360]], device='cuda:0'), grad: tensor([[ 4.0698e-04, 1.8864e-03, 3.9043e-03, ..., 9.0694e-04, 5.1117e-03, 7.3612e-05], [ 2.2054e-04, -8.4102e-05, -1.8668e-04, ..., 1.3552e-03, 3.8743e-04, -6.0844e-04], [ 4.6444e-04, 9.9003e-05, 1.5187e-04, ..., 1.2274e-03, 3.5238e-04, 1.5020e-04], ..., [ 7.7915e-04, -4.3130e-04, -1.0090e-03, ..., 4.0984e-04, 3.6478e-04, -1.0118e-03], [ 8.2779e-04, 1.9634e-04, 3.1137e-04, ..., 1.8435e-03, 2.7585e-04, 6.4516e-04], [ 5.8794e-04, 2.3603e-04, 3.5095e-04, ..., 1.5745e-03, 4.0770e-04, 3.3569e-04]], device='cuda:0') Epoch 459, bias, value: tensor([-0.0310, 0.0414, -0.0005, -0.0109, 0.0218, -0.0339, 0.0045, 0.0064, -0.0023, -0.0151], device='cuda:0'), grad: tensor([ 0.0252, 0.0104, 0.0091, -0.0167, 0.0089, -0.0219, -0.0422, 0.0039, 0.0114, 0.0117], device='cuda:0') 100 1e-05 changing lr epoch 458, time 214.41, cls_loss 0.4704 cls_loss_mapping 0.0009 cls_loss_causal 0.4042 re_mapping 0.0058 re_causal 0.0158 /// teacc 98.96 lr 0.00001000 Epoch 460, weight, value: tensor([[-0.0741, -0.1633, -0.1115, ..., -0.0382, 0.0666, -0.1130], [-0.0837, -0.0962, -0.0901, ..., 0.0996, -0.0382, 0.2404], [ 0.0024, -0.0316, -0.0629, ..., -0.0068, -0.0103, -0.0819], ..., [ 0.0378, -0.1217, 0.1832, ..., 0.0393, -0.1264, 0.0621], [-0.0263, 0.0662, -0.1534, ..., -0.0492, 0.0187, -0.1205], [-0.0652, 0.0833, 0.0432, ..., -0.0653, -0.0562, -0.0359]], device='cuda:0'), grad: tensor([[-9.6035e-04, 2.7027e-03, 2.8563e-04, ..., 2.0409e-03, 1.6031e-03, 2.3353e-04], [-4.9858e-03, -4.9438e-03, -7.3738e-03, ..., 1.7761e-02, 1.9580e-05, -3.1204e-03], [-1.5144e-03, -1.1665e-02, -9.5558e-04, ..., -6.3972e-03, -6.9084e-03, 1.0908e-04], ..., [ 2.2068e-03, 2.3232e-03, 2.0275e-03, ..., 1.6689e-03, 4.1425e-05, 1.8959e-03], [ 4.0078e-04, 6.5857e-02, 8.3313e-03, ..., 4.8923e-04, 1.8158e-03, 3.0613e-04], [ 7.4005e-04, 9.2793e-04, 8.7786e-04, ..., 1.4400e-03, 1.1897e-04, 6.9952e-04]], device='cuda:0') Epoch 460, bias, value: tensor([-0.0310, 0.0413, -0.0004, -0.0109, 0.0217, -0.0340, 0.0046, 0.0065, -0.0023, -0.0151], device='cuda:0'), grad: tensor([-0.0171, 0.0193, -0.0194, 0.0096, -0.0209, 0.0154, -0.0182, 0.0157, 0.0019, 0.0137], device='cuda:0') 100 1e-05 changing lr epoch 459, time 214.92, cls_loss 0.4810 cls_loss_mapping 0.0009 cls_loss_causal 0.4272 re_mapping 0.0063 re_causal 0.0171 /// teacc 98.96 lr 0.00001000 Epoch 461, weight, value: tensor([[-0.0741, -0.1633, -0.1115, ..., -0.0382, 0.0665, -0.1130], [-0.0838, -0.0962, -0.0901, ..., 0.0995, -0.0383, 0.2404], [ 0.0023, -0.0316, -0.0629, ..., -0.0069, -0.0103, -0.0819], ..., [ 0.0377, -0.1218, 0.1832, ..., 0.0393, -0.1265, 0.0622], [-0.0263, 0.0662, -0.1535, ..., -0.0495, 0.0187, -0.1207], [-0.0651, 0.0834, 0.0432, ..., -0.0652, -0.0562, -0.0358]], device='cuda:0'), grad: tensor([[ 7.7438e-04, 4.6879e-05, 3.2592e-04, ..., 6.1005e-05, 3.2520e-04, 7.6914e-04], [-1.8096e-04, -4.6692e-03, -2.7156e-04, ..., -9.2239e-03, 3.0828e-04, -6.0539e-03], [-1.9054e-03, 2.1994e-04, -1.4257e-03, ..., -3.5954e-03, -4.7798e-03, -1.0595e-03], ..., [ 6.3658e-04, -7.2908e-04, -3.4733e-03, ..., -3.3779e-03, 2.2709e-04, -4.9744e-03], [ 6.3324e-04, 4.2229e-03, 2.3770e-04, ..., 8.8730e-03, 7.3576e-04, 6.0654e-03], [ 5.3215e-04, 4.6372e-04, 1.6060e-03, ..., 3.0975e-03, 2.8324e-04, 9.3307e-03]], device='cuda:0') Epoch 461, bias, value: tensor([-0.0310, 0.0414, -0.0004, -0.0108, 0.0215, -0.0339, 0.0047, 0.0065, -0.0024, -0.0150], device='cuda:0'), grad: tensor([-0.0200, -0.0600, -0.0213, -0.0085, -0.0074, 0.0200, 0.0150, 0.0010, 0.0437, 0.0374], device='cuda:0') 100 1e-05 changing lr epoch 460, time 214.71, cls_loss 0.5072 cls_loss_mapping 0.0010 cls_loss_causal 0.4433 re_mapping 0.0061 re_causal 0.0166 /// teacc 98.96 lr 0.00001000 Epoch 462, weight, value: tensor([[-0.0742, -0.1632, -0.1115, ..., -0.0381, 0.0665, -0.1130], [-0.0836, -0.0961, -0.0901, ..., 0.0996, -0.0383, 0.2405], [ 0.0022, -0.0317, -0.0630, ..., -0.0070, -0.0103, -0.0820], ..., [ 0.0376, -0.1219, 0.1832, ..., 0.0393, -0.1266, 0.0621], [-0.0263, 0.0663, -0.1535, ..., -0.0495, 0.0187, -0.1206], [-0.0648, 0.0833, 0.0433, ..., -0.0650, -0.0561, -0.0357]], device='cuda:0'), grad: tensor([[ 3.9434e-04, 1.7977e-03, 3.7283e-05, ..., 4.2114e-03, 2.2912e-04, 1.8835e-03], [-5.0020e-04, 8.7547e-04, 2.7013e-04, ..., 4.6005e-03, 7.6342e-04, 7.6675e-03], [ 9.4604e-04, -1.0986e-02, -1.6565e-03, ..., -2.5940e-03, 2.5606e-04, -1.6220e-02], ..., [-4.7455e-03, 8.8310e-04, -6.3658e-04, ..., -4.2458e-03, 1.8167e-04, 9.6226e-04], [ 7.6246e-04, 7.5674e-04, 7.2181e-05, ..., 1.2083e-03, 3.1567e-04, 4.7493e-04], [ 1.1492e-03, 1.4057e-03, 1.1277e-04, ..., 3.2043e-03, 2.4676e-04, 1.7738e-03]], device='cuda:0') Epoch 462, bias, value: tensor([-0.0310, 0.0415, -0.0004, -0.0109, 0.0215, -0.0340, 0.0047, 0.0064, -0.0025, -0.0149], device='cuda:0'), grad: tensor([ 0.0267, 0.0179, -0.1306, 0.0014, 0.0720, 0.0232, -0.0459, -0.0035, 0.0112, 0.0277], device='cuda:0') 100 1e-05 changing lr epoch 461, time 214.73, cls_loss 0.5031 cls_loss_mapping 0.0010 cls_loss_causal 0.4264 re_mapping 0.0060 re_causal 0.0167 /// teacc 98.96 lr 0.00001000 Epoch 463, weight, value: tensor([[-0.0742, -0.1631, -0.1115, ..., -0.0382, 0.0666, -0.1130], [-0.0837, -0.0962, -0.0901, ..., 0.0997, -0.0383, 0.2406], [ 0.0022, -0.0316, -0.0630, ..., -0.0070, -0.0103, -0.0820], ..., [ 0.0375, -0.1220, 0.1831, ..., 0.0393, -0.1266, 0.0621], [-0.0261, 0.0664, -0.1535, ..., -0.0496, 0.0188, -0.1205], [-0.0647, 0.0833, 0.0434, ..., -0.0648, -0.0560, -0.0357]], device='cuda:0'), grad: tensor([[ 4.4346e-04, -3.9330e-03, 2.1592e-05, ..., -3.5019e-03, 6.5231e-04, 3.3164e-04], [-2.9731e-04, -1.6289e-03, -6.6519e-04, ..., 1.0568e-04, 7.1466e-05, -5.6114e-03], [ 2.0075e-04, 8.6498e-04, 6.2406e-05, ..., -7.7477e-03, 2.6751e-04, 4.0388e-04], ..., [ 1.1235e-04, 1.4076e-03, 9.3579e-05, ..., 4.5090e-03, 9.1970e-05, 6.8283e-04], [ 1.2791e-04, -7.7844e-05, 1.4269e-04, ..., -9.7046e-03, 9.4473e-05, 7.2193e-04], [ 1.1069e-04, 1.9372e-05, 7.0095e-05, ..., 3.7079e-03, 1.0562e-04, 1.1091e-03]], device='cuda:0') Epoch 463, bias, value: tensor([-0.0310, 0.0416, -0.0003, -0.0108, 0.0215, -0.0340, 0.0047, 0.0063, -0.0025, -0.0149], device='cuda:0'), grad: tensor([-0.0591, -0.0398, -0.0127, 0.0114, 0.0289, 0.0344, 0.0294, 0.0339, -0.0580, 0.0315], device='cuda:0') 100 1e-05 changing lr epoch 462, time 215.05, cls_loss 0.4848 cls_loss_mapping 0.0009 cls_loss_causal 0.4168 re_mapping 0.0062 re_causal 0.0168 /// teacc 98.95 lr 0.00001000 Epoch 464, weight, value: tensor([[-0.0742, -0.1630, -0.1112, ..., -0.0382, 0.0666, -0.1130], [-0.0836, -0.0960, -0.0900, ..., 0.0997, -0.0384, 0.2407], [ 0.0024, -0.0318, -0.0630, ..., -0.0071, -0.0102, -0.0821], ..., [ 0.0375, -0.1220, 0.1833, ..., 0.0392, -0.1267, 0.0621], [-0.0260, 0.0663, -0.1536, ..., -0.0495, 0.0188, -0.1206], [-0.0647, 0.0833, 0.0432, ..., -0.0650, -0.0559, -0.0358]], device='cuda:0'), grad: tensor([[-9.2554e-04, 1.6415e-04, 6.5136e-04, ..., -7.8499e-05, 1.9045e-03, 7.9572e-05], [-2.5578e-03, 1.7583e-04, 2.4319e-03, ..., 9.4843e-04, 4.3144e-03, 6.2406e-05], [ 2.3613e-03, 2.2554e-04, 2.5330e-03, ..., 1.1665e-02, 4.2534e-03, 1.0550e-04], ..., [ 2.5344e-04, 1.6890e-03, -5.1308e-03, ..., 1.3742e-03, 1.6844e-04, -6.0616e-03], [-1.2207e-03, 1.6600e-05, -1.1063e-02, ..., -1.4313e-02, -9.3231e-03, 1.4579e-04], [ 1.8489e-04, -3.1853e-03, 5.7459e-04, ..., -1.1797e-03, 2.5511e-04, -1.8864e-03]], device='cuda:0') Epoch 464, bias, value: tensor([-0.0311, 0.0417, -0.0003, -0.0109, 0.0214, -0.0339, 0.0047, 0.0063, -0.0024, -0.0150], device='cuda:0'), grad: tensor([ 0.0082, 0.0026, 0.0174, 0.0390, 0.0106, -0.0197, 0.0365, -0.0265, -0.0460, -0.0221], device='cuda:0') 100 1e-05 changing lr epoch 463, time 214.87, cls_loss 0.4994 cls_loss_mapping 0.0009 cls_loss_causal 0.4403 re_mapping 0.0061 re_causal 0.0168 /// teacc 99.01 lr 0.00001000 Epoch 465, weight, value: tensor([[-0.0741, -0.1630, -0.1112, ..., -0.0383, 0.0664, -0.1130], [-0.0837, -0.0961, -0.0901, ..., 0.0997, -0.0386, 0.2408], [ 0.0023, -0.0317, -0.0631, ..., -0.0070, -0.0105, -0.0821], ..., [ 0.0375, -0.1221, 0.1834, ..., 0.0392, -0.1266, 0.0622], [-0.0260, 0.0663, -0.1537, ..., -0.0495, 0.0190, -0.1206], [-0.0647, 0.0833, 0.0432, ..., -0.0649, -0.0559, -0.0358]], device='cuda:0'), grad: tensor([[ 2.1446e-04, 2.1529e-04, 2.5129e-04, ..., 1.0281e-03, -7.6675e-04, 4.2033e-04], [-1.4982e-03, 4.0531e-04, 6.5565e-04, ..., -1.8940e-03, 3.2997e-04, -4.8065e-03], [ 1.9491e-04, 2.8300e-04, 4.2248e-04, ..., 1.1683e-03, 4.9877e-04, 4.2272e-04], ..., [ 1.9574e-04, -4.0340e-04, 6.9523e-04, ..., 2.6971e-05, 2.4140e-04, 5.7650e-04], [ 7.4482e-04, -1.2648e-04, 2.7132e-04, ..., 1.7738e-03, 4.2081e-04, 1.2341e-03], [ 1.0195e-03, 8.4543e-04, -9.5654e-04, ..., 3.4142e-03, 7.8392e-04, 8.7166e-04]], device='cuda:0') Epoch 465, bias, value: tensor([-0.0312, 0.0415, -0.0004, -0.0109, 0.0213, -0.0339, 0.0048, 0.0064, -0.0024, -0.0148], device='cuda:0'), grad: tensor([ 0.0144, -0.0085, 0.0160, -0.0103, 0.0147, -0.0118, -0.0094, -0.0429, 0.0184, 0.0194], device='cuda:0') 100 1e-05 changing lr epoch 464, time 214.93, cls_loss 0.4829 cls_loss_mapping 0.0010 cls_loss_causal 0.4080 re_mapping 0.0061 re_causal 0.0163 /// teacc 99.01 lr 0.00001000 Epoch 466, weight, value: tensor([[-0.0741, -0.1631, -0.1113, ..., -0.0383, 0.0665, -0.1130], [-0.0837, -0.0960, -0.0902, ..., 0.0997, -0.0386, 0.2407], [ 0.0023, -0.0317, -0.0631, ..., -0.0070, -0.0104, -0.0822], ..., [ 0.0375, -0.1222, 0.1835, ..., 0.0392, -0.1265, 0.0623], [-0.0259, 0.0664, -0.1536, ..., -0.0496, 0.0190, -0.1206], [-0.0648, 0.0834, 0.0432, ..., -0.0649, -0.0561, -0.0359]], device='cuda:0'), grad: tensor([[ 7.7963e-04, 3.8791e-04, 7.2050e-04, ..., 1.5011e-03, 2.4259e-05, 2.1130e-05], [ 1.6701e-04, 7.9012e-04, 4.1217e-05, ..., -3.3665e-04, 1.8263e-06, 3.1143e-05], [ 3.1853e-03, 7.3929e-03, -1.9765e-04, ..., 4.0817e-03, 1.9300e-04, 1.0169e-04], ..., [ 2.5158e-03, 5.1422e-03, -1.7256e-05, ..., 2.1534e-03, 3.6322e-06, -6.3992e-04], [-1.0948e-03, -8.8882e-04, -1.5078e-03, ..., -3.3722e-03, 1.8859e-06, -1.6958e-05], [ 8.9264e-04, 1.7834e-03, 3.7169e-04, ..., 1.5907e-03, 1.7002e-05, 2.7585e-04]], device='cuda:0') Epoch 466, bias, value: tensor([-0.0312, 0.0416, -0.0003, -0.0109, 0.0212, -0.0340, 0.0049, 0.0064, -0.0026, -0.0148], device='cuda:0'), grad: tensor([-0.0095, 0.0090, 0.0238, -0.0100, -0.0212, 0.0129, -0.0222, 0.0186, -0.0197, 0.0184], device='cuda:0') 100 1e-05 changing lr epoch 465, time 214.61, cls_loss 0.4920 cls_loss_mapping 0.0009 cls_loss_causal 0.4334 re_mapping 0.0062 re_causal 0.0167 /// teacc 99.01 lr 0.00001000 Epoch 467, weight, value: tensor([[-0.0740, -0.1631, -0.1114, ..., -0.0382, 0.0665, -0.1131], [-0.0835, -0.0961, -0.0902, ..., 0.0998, -0.0386, 0.2409], [ 0.0022, -0.0317, -0.0630, ..., -0.0068, -0.0104, -0.0823], ..., [ 0.0375, -0.1223, 0.1835, ..., 0.0392, -0.1265, 0.0623], [-0.0260, 0.0664, -0.1537, ..., -0.0496, 0.0189, -0.1206], [-0.0648, 0.0833, 0.0432, ..., -0.0649, -0.0561, -0.0360]], device='cuda:0'), grad: tensor([[ 2.2960e-04, 8.0466e-05, 9.9838e-06, ..., 7.9441e-04, 4.0233e-05, 3.1471e-04], [ 6.2132e-04, 4.0710e-05, 1.7017e-05, ..., -1.2611e-02, 1.3495e-06, 6.6471e-04], [ 2.4772e-04, -3.8296e-05, 5.4181e-05, ..., 1.1988e-03, 6.2399e-07, 3.9744e-04], ..., [ 7.4625e-04, 2.5296e-04, -2.0874e-04, ..., 1.5421e-03, 8.6613e-08, 3.4122e-03], [-3.2558e-03, 2.8682e-04, 2.9612e-04, ..., 6.9466e-03, 1.0990e-05, -2.9736e-03], [ 1.8847e-04, -3.2330e-04, -5.9366e-04, ..., 1.0252e-03, 1.2619e-06, 3.1471e-03]], device='cuda:0') Epoch 467, bias, value: tensor([-0.0311, 0.0417, -0.0002, -0.0110, 0.0213, -0.0342, 0.0049, 0.0064, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0110, -0.0016, 0.0117, -0.0189, -0.0022, -0.0199, 0.0148, 0.0201, -0.0314, 0.0165], device='cuda:0') 100 1e-05 changing lr epoch 466, time 214.75, cls_loss 0.4995 cls_loss_mapping 0.0009 cls_loss_causal 0.4323 re_mapping 0.0060 re_causal 0.0165 /// teacc 98.98 lr 0.00001000 Epoch 468, weight, value: tensor([[-0.0738, -0.1631, -0.1112, ..., -0.0380, 0.0666, -0.1132], [-0.0835, -0.0960, -0.0902, ..., 0.0997, -0.0387, 0.2409], [ 0.0021, -0.0317, -0.0630, ..., -0.0070, -0.0103, -0.0823], ..., [ 0.0376, -0.1222, 0.1834, ..., 0.0392, -0.1266, 0.0624], [-0.0261, 0.0665, -0.1538, ..., -0.0496, 0.0189, -0.1205], [-0.0648, 0.0831, 0.0433, ..., -0.0648, -0.0561, -0.0360]], device='cuda:0'), grad: tensor([[ 3.7789e-04, 6.7353e-05, 1.2163e-06, ..., 1.3418e-03, 3.9548e-05, 4.3750e-04], [ 1.6117e-03, 9.6500e-05, 1.4448e-03, ..., -3.6354e-03, 2.4366e-04, 1.1301e-03], [ 3.3212e-04, -6.2513e-04, 6.7241e-06, ..., -4.6754e-04, 5.4032e-05, -1.6861e-03], ..., [ 3.6740e-04, 1.5807e-04, 2.0182e-04, ..., -3.0255e-04, 3.5584e-05, -5.9700e-04], [ 6.6757e-04, 1.6603e-03, 6.4754e-04, ..., 2.9526e-03, 5.3704e-05, 6.8545e-05], [-5.9662e-03, -1.7128e-03, -7.2718e-04, ..., -7.4234e-03, -6.9761e-04, -3.0918e-03]], device='cuda:0') Epoch 468, bias, value: tensor([-0.0310, 0.0417, -0.0003, -0.0109, 0.0213, -0.0341, 0.0049, 0.0064, -0.0026, -0.0149], device='cuda:0'), grad: tensor([ 0.0109, -0.0257, -0.0234, 0.0211, 0.0138, -0.0006, 0.0220, 0.0082, -0.0089, -0.0173], device='cuda:0') 100 1e-05 changing lr epoch 467, time 214.58, cls_loss 0.4702 cls_loss_mapping 0.0008 cls_loss_causal 0.4158 re_mapping 0.0060 re_causal 0.0165 /// teacc 98.99 lr 0.00001000 Epoch 469, weight, value: tensor([[-0.0739, -0.1630, -0.1113, ..., -0.0381, 0.0668, -0.1131], [-0.0833, -0.0960, -0.0903, ..., 0.0997, -0.0388, 0.2409], [ 0.0022, -0.0316, -0.0630, ..., -0.0070, -0.0103, -0.0825], ..., [ 0.0376, -0.1223, 0.1835, ..., 0.0393, -0.1265, 0.0625], [-0.0261, 0.0664, -0.1540, ..., -0.0496, 0.0189, -0.1206], [-0.0647, 0.0832, 0.0434, ..., -0.0647, -0.0560, -0.0360]], device='cuda:0'), grad: tensor([[ 3.1509e-03, -3.6192e-04, -6.5470e-04, ..., -7.7963e-04, -9.4604e-04, -9.7942e-04], [ 9.2936e-04, 3.1447e-04, 7.2308e-06, ..., -1.5621e-03, 1.2946e-04, -1.7524e-04], [ 6.9809e-03, 2.7905e-03, 1.0872e-04, ..., 9.6989e-04, 7.6532e-04, 1.7047e-04], ..., [-1.4503e-02, -5.7182e-03, 3.1441e-05, ..., -9.7322e-04, 1.4663e-04, 4.5717e-05], [ 1.1177e-03, -5.0163e-04, 3.3200e-05, ..., 2.7251e-04, 5.7507e-04, 8.0645e-05], [ 5.8126e-04, 2.9802e-04, 1.8501e-04, ..., 5.4121e-04, 4.9686e-04, 1.9348e-04]], device='cuda:0') Epoch 469, bias, value: tensor([-0.0310, 0.0417, -0.0003, -0.0109, 0.0212, -0.0341, 0.0049, 0.0064, -0.0026, -0.0148], device='cuda:0'), grad: tensor([ 0.0046, -0.0155, 0.0201, -0.0391, 0.0145, 0.0068, -0.0089, -0.0075, 0.0109, 0.0140], device='cuda:0') 100 1e-05 changing lr epoch 468, time 214.74, cls_loss 0.4823 cls_loss_mapping 0.0008 cls_loss_causal 0.4159 re_mapping 0.0060 re_causal 0.0166 /// teacc 98.98 lr 0.00001000 Epoch 470, weight, value: tensor([[-0.0739, -0.1632, -0.1113, ..., -0.0381, 0.0667, -0.1133], [-0.0833, -0.0960, -0.0903, ..., 0.0998, -0.0387, 0.2409], [ 0.0022, -0.0316, -0.0631, ..., -0.0069, -0.0102, -0.0826], ..., [ 0.0375, -0.1223, 0.1834, ..., 0.0391, -0.1265, 0.0626], [-0.0262, 0.0664, -0.1541, ..., -0.0496, 0.0191, -0.1206], [-0.0646, 0.0833, 0.0435, ..., -0.0648, -0.0558, -0.0359]], device='cuda:0'), grad: tensor([[ 0.0008, 0.0008, 0.0009, ..., 0.0037, 0.0006, 0.0016], [ 0.0006, 0.0009, 0.0006, ..., 0.0045, 0.0006, 0.0009], [-0.0024, -0.0034, -0.0030, ..., -0.0041, -0.0028, -0.0012], ..., [ 0.0009, 0.0010, -0.0062, ..., -0.0175, 0.0006, -0.0029], [ 0.0039, 0.0042, 0.0042, ..., 0.0058, 0.0006, 0.0023], [ 0.0023, 0.0021, 0.0026, ..., 0.0030, -0.0002, 0.0016]], device='cuda:0') Epoch 470, bias, value: tensor([-0.0310, 0.0418, -0.0002, -0.0109, 0.0212, -0.0341, 0.0049, 0.0063, -0.0027, -0.0148], device='cuda:0'), grad: tensor([ 0.0071, 0.0159, -0.0352, 0.0031, -0.0248, 0.0206, 0.0058, -0.0277, 0.0327, 0.0024], device='cuda:0') 100 1e-05 changing lr epoch 469, time 214.55, cls_loss 0.4720 cls_loss_mapping 0.0008 cls_loss_causal 0.4059 re_mapping 0.0061 re_causal 0.0165 /// teacc 98.98 lr 0.00001000 Epoch 471, weight, value: tensor([[-0.0739, -0.1632, -0.1113, ..., -0.0381, 0.0666, -0.1133], [-0.0832, -0.0960, -0.0903, ..., 0.0996, -0.0386, 0.2409], [ 0.0023, -0.0316, -0.0630, ..., -0.0070, -0.0104, -0.0825], ..., [ 0.0374, -0.1223, 0.1835, ..., 0.0393, -0.1266, 0.0624], [-0.0261, 0.0662, -0.1541, ..., -0.0496, 0.0191, -0.1207], [-0.0646, 0.0833, 0.0434, ..., -0.0649, -0.0559, -0.0360]], device='cuda:0'), grad: tensor([[ 2.9802e-04, 2.2892e-06, -1.9140e-03, ..., -1.7090e-02, 3.5310e-04, -1.5221e-03], [ 3.4261e-04, 2.1771e-05, 6.7329e-04, ..., -3.0727e-03, 1.5497e-04, 3.2353e-04], [ 2.9421e-04, -2.3234e-04, -2.4009e-04, ..., 2.0008e-03, 9.9421e-05, -5.0497e-04], ..., [ 3.7551e-04, -1.2189e-04, -2.9087e-04, ..., 6.7101e-03, 8.7440e-05, 4.9782e-04], [ 6.3658e-04, 1.8388e-05, 2.1362e-04, ..., 4.3449e-03, 1.0496e-04, 1.2808e-03], [ 7.8917e-04, 1.7691e-04, 1.2684e-03, ..., 5.8823e-03, 7.9155e-05, 1.2083e-03]], device='cuda:0') Epoch 471, bias, value: tensor([-0.0311, 0.0418, -0.0002, -0.0109, 0.0212, -0.0340, 0.0050, 0.0063, -0.0027, -0.0149], device='cuda:0'), grad: tensor([-0.0375, -0.0240, -0.0279, 0.0026, 0.0070, -0.0371, 0.0414, 0.0127, 0.0262, 0.0366], device='cuda:0') 100 1e-05 changing lr epoch 470, time 214.38, cls_loss 0.4676 cls_loss_mapping 0.0007 cls_loss_causal 0.4103 re_mapping 0.0061 re_causal 0.0165 /// teacc 98.99 lr 0.00001000 Epoch 472, weight, value: tensor([[-0.0738, -0.1633, -0.1113, ..., -0.0379, 0.0665, -0.1132], [-0.0832, -0.0961, -0.0903, ..., 0.0995, -0.0387, 0.2409], [ 0.0022, -0.0315, -0.0627, ..., -0.0070, -0.0104, -0.0826], ..., [ 0.0373, -0.1224, 0.1834, ..., 0.0394, -0.1265, 0.0624], [-0.0260, 0.0661, -0.1539, ..., -0.0495, 0.0193, -0.1206], [-0.0644, 0.0834, 0.0434, ..., -0.0649, -0.0559, -0.0358]], device='cuda:0'), grad: tensor([[ 3.8445e-06, -1.7047e-04, 7.0930e-05, ..., 5.9128e-04, -9.6464e-04, 3.9387e-04], [-7.1585e-05, 3.6478e-05, -1.6499e-04, ..., -5.7888e-04, 2.2445e-07, -6.6137e-04], [-3.8773e-05, 8.6188e-05, -5.6028e-05, ..., 2.1911e-04, 2.3976e-05, 3.1781e-04], ..., [ 7.5400e-05, 9.5510e-04, -1.2651e-05, ..., 6.7234e-04, 1.5739e-07, -3.1614e-04], [-3.3472e-06, 3.6659e-03, 3.5018e-05, ..., 4.2725e-03, 2.7820e-05, 2.0191e-05], [ 8.9929e-06, -6.6719e-03, 4.1515e-05, ..., -7.4959e-03, 1.4231e-05, 1.0359e-04]], device='cuda:0') Epoch 472, bias, value: tensor([-0.0311, 0.0417, -0.0004, -0.0111, 0.0211, -0.0339, 0.0050, 0.0065, -0.0026, -0.0148], device='cuda:0'), grad: tensor([ 0.0024, 0.0025, 0.0036, 0.0094, 0.0032, -0.0280, 0.0029, 0.0077, 0.0166, -0.0203], device='cuda:0') 100 1e-05 changing lr epoch 471, time 214.45, cls_loss 0.4893 cls_loss_mapping 0.0008 cls_loss_causal 0.4213 re_mapping 0.0061 re_causal 0.0168 /// teacc 99.00 lr 0.00001000 Epoch 473, weight, value: tensor([[-0.0737, -0.1633, -0.1115, ..., -0.0379, 0.0665, -0.1131], [-0.0832, -0.0961, -0.0903, ..., 0.0995, -0.0388, 0.2409], [ 0.0020, -0.0315, -0.0627, ..., -0.0069, -0.0104, -0.0827], ..., [ 0.0377, -0.1223, 0.1832, ..., 0.0394, -0.1266, 0.0623], [-0.0260, 0.0661, -0.1539, ..., -0.0494, 0.0194, -0.1206], [-0.0645, 0.0834, 0.0437, ..., -0.0648, -0.0559, -0.0358]], device='cuda:0'), grad: tensor([[ 8.1122e-05, 2.9609e-05, 1.2331e-05, ..., 1.9703e-03, 4.5359e-05, 6.6605e-03], [ 5.6219e-04, 1.4460e-04, 1.1042e-05, ..., 4.9210e-04, 3.4273e-05, 1.8244e-03], [-6.4278e-03, -1.2674e-03, 1.9282e-05, ..., -3.1948e-05, 1.2150e-03, -8.6975e-03], ..., [-3.0965e-05, 2.3559e-05, -4.1056e-04, ..., 5.2065e-05, 2.7016e-05, -9.9480e-05], [ 5.9967e-03, 1.0071e-03, 2.6733e-05, ..., 8.0645e-05, 6.7759e-04, 6.7635e-03], [-1.1663e-03, 3.9177e-03, 3.8934e-04, ..., 7.2002e-05, 1.5855e-05, 5.1651e-03]], device='cuda:0') Epoch 473, bias, value: tensor([-0.0310, 0.0417, -0.0005, -0.0111, 0.0212, -0.0340, 0.0048, 0.0064, -0.0025, -0.0146], device='cuda:0'), grad: tensor([ 0.0059, 0.0034, -0.0067, 0.0021, -0.0030, -0.0275, -0.0153, -0.0002, 0.0268, 0.0146], device='cuda:0') 100 1e-05 changing lr epoch 472, time 214.85, cls_loss 0.4848 cls_loss_mapping 0.0009 cls_loss_causal 0.4227 re_mapping 0.0060 re_causal 0.0162 /// teacc 98.98 lr 0.00001000 Epoch 474, weight, value: tensor([[-0.0737, -0.1634, -0.1115, ..., -0.0379, 0.0664, -0.1132], [-0.0832, -0.0960, -0.0904, ..., 0.0995, -0.0388, 0.2409], [ 0.0021, -0.0316, -0.0627, ..., -0.0067, -0.0104, -0.0825], ..., [ 0.0377, -0.1223, 0.1833, ..., 0.0394, -0.1266, 0.0623], [-0.0263, 0.0662, -0.1537, ..., -0.0495, 0.0196, -0.1204], [-0.0646, 0.0834, 0.0436, ..., -0.0648, -0.0557, -0.0360]], device='cuda:0'), grad: tensor([[ 7.4339e-04, -2.9206e-05, 7.0691e-05, ..., 1.7529e-03, 9.3341e-05, 1.3456e-03], [ 7.2145e-04, 2.1234e-06, 3.4332e-05, ..., 7.4053e-04, 9.3952e-06, 5.4550e-04], [ 1.1034e-03, 9.4995e-06, 2.1994e-04, ..., -6.5517e-04, 3.7241e-04, 1.4420e-03], ..., [ 1.9913e-03, 2.8405e-07, -5.3024e-04, ..., 6.3782e-03, 5.7173e-04, 6.0768e-03], [ 9.7609e-04, 1.2815e-04, -1.1063e-04, ..., 2.4185e-03, 4.2868e-04, 9.2077e-04], [ 2.1038e-03, 1.4111e-05, 1.6105e-04, ..., -3.2921e-03, 4.4870e-04, -1.0483e-02]], device='cuda:0') Epoch 474, bias, value: tensor([-0.0309, 0.0417, -0.0004, -0.0112, 0.0213, -0.0339, 0.0048, 0.0064, -0.0026, -0.0146], device='cuda:0'), grad: tensor([ 0.0136, 0.0136, -0.0125, -0.0400, -0.0091, 0.0140, 0.0098, 0.0383, 0.0033, -0.0310], device='cuda:0') 100 1e-05 changing lr epoch 473, time 214.51, cls_loss 0.4639 cls_loss_mapping 0.0008 cls_loss_causal 0.4044 re_mapping 0.0060 re_causal 0.0161 /// teacc 98.99 lr 0.00001000 Epoch 475, weight, value: tensor([[-0.0737, -0.1635, -0.1113, ..., -0.0379, 0.0665, -0.1134], [-0.0833, -0.0961, -0.0904, ..., 0.0994, -0.0388, 0.2410], [ 0.0021, -0.0317, -0.0627, ..., -0.0067, -0.0105, -0.0826], ..., [ 0.0377, -0.1222, 0.1833, ..., 0.0395, -0.1267, 0.0624], [-0.0263, 0.0663, -0.1537, ..., -0.0496, 0.0196, -0.1205], [-0.0645, 0.0836, 0.0436, ..., -0.0648, -0.0556, -0.0359]], device='cuda:0'), grad: tensor([[ 2.5253e-03, -9.0027e-04, 2.5839e-05, ..., 6.3782e-03, -2.5129e-04, 2.9716e-03], [ 1.9372e-04, -3.0589e-04, 3.5819e-06, ..., -4.6563e-04, 4.4632e-04, 3.0541e-04], [ 4.8923e-04, -5.2392e-05, 2.5511e-04, ..., 1.6522e-04, 4.5562e-04, 6.9666e-04], ..., [ 1.9016e-03, 3.0994e-03, 1.5306e-03, ..., 6.7253e-03, 5.4407e-04, 2.8934e-03], [-2.3689e-03, -3.1281e-03, -2.5196e-03, ..., -5.7487e-03, 6.1798e-04, -3.9635e-03], [-3.7460e-03, 9.9754e-04, 1.1951e-04, ..., -5.4626e-03, -4.5815e-03, -4.2419e-03]], device='cuda:0') Epoch 475, bias, value: tensor([-0.0309, 0.0417, -0.0004, -0.0113, 0.0212, -0.0339, 0.0048, 0.0064, -0.0026, -0.0145], device='cuda:0'), grad: tensor([ 0.0425, 0.0009, -0.0009, -0.0331, -0.0029, 0.0056, 0.0354, 0.0452, -0.0331, -0.0596], device='cuda:0') 100 1e-05 changing lr epoch 474, time 214.64, cls_loss 0.4544 cls_loss_mapping 0.0009 cls_loss_causal 0.3868 re_mapping 0.0061 re_causal 0.0160 /// teacc 98.98 lr 0.00001000 Epoch 476, weight, value: tensor([[-0.0738, -0.1634, -0.1114, ..., -0.0380, 0.0665, -0.1134], [-0.0833, -0.0961, -0.0904, ..., 0.0995, -0.0386, 0.2410], [ 0.0022, -0.0317, -0.0627, ..., -0.0066, -0.0104, -0.0828], ..., [ 0.0379, -0.1221, 0.1834, ..., 0.0395, -0.1267, 0.0624], [-0.0263, 0.0662, -0.1538, ..., -0.0496, 0.0197, -0.1204], [-0.0647, 0.0835, 0.0435, ..., -0.0650, -0.0558, -0.0360]], device='cuda:0'), grad: tensor([[ 6.1941e-04, 2.1338e-04, 4.6825e-04, ..., 2.1629e-03, 6.4611e-05, 7.6103e-04], [-1.2283e-03, 3.3641e-04, 6.0940e-04, ..., -1.5316e-03, 7.6294e-05, 9.6083e-04], [ 1.2751e-03, 6.4087e-04, 5.3310e-04, ..., -2.9099e-02, 1.6356e-04, -1.5381e-02], ..., [-2.4834e-03, 1.1549e-03, 1.5097e-03, ..., 3.0533e-02, -1.7083e-04, 1.3985e-02], [ 4.2458e-03, -7.5960e-04, 1.9121e-03, ..., 6.5460e-03, -4.4465e-04, 4.1122e-03], [-2.5196e-03, 3.0494e-04, 5.5552e-04, ..., -3.7384e-03, 4.8494e-04, 1.0366e-03]], device='cuda:0') Epoch 476, bias, value: tensor([-0.0310, 0.0417, -0.0003, -0.0112, 0.0211, -0.0339, 0.0047, 0.0065, -0.0025, -0.0147], device='cuda:0'), grad: tensor([ 0.0105, 0.0048, -0.0211, -0.0026, -0.0217, 0.0139, -0.0238, 0.0351, 0.0191, -0.0141], device='cuda:0') 100 1e-05 changing lr epoch 475, time 215.01, cls_loss 0.4877 cls_loss_mapping 0.0008 cls_loss_causal 0.4208 re_mapping 0.0060 re_causal 0.0165 /// teacc 98.95 lr 0.00001000 Epoch 477, weight, value: tensor([[-0.0738, -0.1633, -0.1113, ..., -0.0379, 0.0667, -0.1134], [-0.0833, -0.0961, -0.0903, ..., 0.0996, -0.0387, 0.2411], [ 0.0020, -0.0318, -0.0629, ..., -0.0069, -0.0105, -0.0829], ..., [ 0.0378, -0.1220, 0.1835, ..., 0.0395, -0.1267, 0.0623], [-0.0263, 0.0662, -0.1538, ..., -0.0496, 0.0197, -0.1204], [-0.0646, 0.0834, 0.0434, ..., -0.0650, -0.0558, -0.0360]], device='cuda:0'), grad: tensor([[ 4.1127e-04, -7.4005e-04, 4.9919e-06, ..., -1.4315e-03, 1.7297e-04, 3.3903e-04], [-4.3602e-03, 9.9838e-05, 7.2792e-06, ..., -1.2875e-03, 2.5868e-04, 4.4680e-04], [ 1.2636e-03, 3.6669e-04, 3.5495e-05, ..., 1.1873e-03, 1.8764e-04, 3.6430e-04], ..., [ 4.6825e-04, 1.0443e-04, 1.4670e-05, ..., 9.8610e-04, 2.1219e-04, 4.1509e-04], [ 1.8644e-03, -5.2452e-05, 1.2243e-04, ..., 1.7891e-03, -3.2711e-04, 5.5027e-04], [ 4.7135e-04, 1.4496e-04, 1.1086e-05, ..., 9.0837e-04, 1.8740e-04, 3.6263e-04]], device='cuda:0') Epoch 477, bias, value: tensor([-0.0309, 0.0417, -0.0006, -0.0113, 0.0211, -0.0338, 0.0048, 0.0066, -0.0024, -0.0147], device='cuda:0'), grad: tensor([-0.0257, -0.0120, 0.0150, -0.0060, -0.0215, 0.0080, 0.0152, 0.0052, 0.0140, 0.0078], device='cuda:0') 100 1e-05 changing lr epoch 476, time 214.85, cls_loss 0.4968 cls_loss_mapping 0.0009 cls_loss_causal 0.4354 re_mapping 0.0060 re_causal 0.0165 /// teacc 98.94 lr 0.00001000 Epoch 478, weight, value: tensor([[-0.0737, -0.1633, -0.1112, ..., -0.0378, 0.0667, -0.1132], [-0.0831, -0.0961, -0.0902, ..., 0.0996, -0.0390, 0.2413], [ 0.0019, -0.0317, -0.0629, ..., -0.0068, -0.0105, -0.0828], ..., [ 0.0378, -0.1220, 0.1834, ..., 0.0394, -0.1267, 0.0621], [-0.0263, 0.0662, -0.1540, ..., -0.0496, 0.0196, -0.1205], [-0.0646, 0.0835, 0.0434, ..., -0.0649, -0.0557, -0.0360]], device='cuda:0'), grad: tensor([[ 5.2869e-05, 4.6563e-04, -3.5381e-04, ..., 1.0195e-03, 3.7217e-04, 7.7295e-04], [ 3.8892e-05, -6.6710e-04, 9.7096e-05, ..., 2.1124e-04, 2.2426e-05, 2.0790e-04], [ 4.8965e-05, 3.9220e-04, 1.9610e-04, ..., 1.6525e-02, 4.4942e-05, 8.4162e-04], ..., [ 4.6581e-05, 3.4070e-04, -8.5533e-05, ..., -1.1307e-02, 6.0126e-06, -3.8681e-03], [-3.6573e-04, 8.2350e-04, 8.1968e-04, ..., -8.1940e-03, 2.9862e-05, -5.0888e-03], [ 2.5824e-05, 1.0538e-03, 1.6105e-04, ..., 2.2411e-03, 3.4064e-05, 4.1533e-04]], device='cuda:0') Epoch 478, bias, value: tensor([-0.0309, 0.0417, -0.0005, -0.0113, 0.0211, -0.0338, 0.0047, 0.0064, -0.0025, -0.0146], device='cuda:0'), grad: tensor([-0.0075, -0.0167, 0.0295, -0.0177, 0.0490, 0.0186, -0.0326, -0.0289, -0.0139, 0.0203], device='cuda:0') 100 1e-05 changing lr epoch 477, time 214.65, cls_loss 0.4678 cls_loss_mapping 0.0009 cls_loss_causal 0.4048 re_mapping 0.0059 re_causal 0.0160 /// teacc 98.96 lr 0.00001000 Epoch 479, weight, value: tensor([[-0.0738, -0.1634, -0.1111, ..., -0.0378, 0.0667, -0.1133], [-0.0830, -0.0961, -0.0901, ..., 0.0996, -0.0390, 0.2413], [ 0.0018, -0.0317, -0.0630, ..., -0.0067, -0.0105, -0.0827], ..., [ 0.0378, -0.1221, 0.1835, ..., 0.0394, -0.1268, 0.0622], [-0.0264, 0.0663, -0.1540, ..., -0.0496, 0.0197, -0.1206], [-0.0647, 0.0835, 0.0434, ..., -0.0650, -0.0556, -0.0363]], device='cuda:0'), grad: tensor([[ 8.2552e-05, 2.3627e-04, 2.6751e-04, ..., 7.1144e-04, 1.4938e-05, 2.1827e-04], [ 5.7667e-06, 1.9054e-03, 3.2091e-04, ..., 8.1635e-03, 2.0131e-05, 1.9608e-03], [ 3.1620e-05, 1.1568e-03, 1.3924e-03, ..., 2.4948e-03, 1.0622e-04, 3.3331e-04], ..., [ 2.2972e-04, 8.1682e-04, 9.7084e-04, ..., -7.3471e-03, 5.7548e-05, -3.0918e-03], [ 2.1601e-04, -1.5669e-03, 3.3784e-04, ..., -2.8152e-03, 1.6317e-05, 8.1420e-05], [-8.7786e-04, -2.0409e-04, -1.1748e-04, ..., -2.4438e-04, 1.5795e-05, -5.5361e-04]], device='cuda:0') Epoch 479, bias, value: tensor([-0.0310, 0.0418, -0.0005, -0.0114, 0.0212, -0.0338, 0.0049, 0.0064, -0.0025, -0.0147], device='cuda:0'), grad: tensor([ 0.0082, 0.0338, 0.0151, -0.0066, 0.0097, 0.0086, 0.0078, -0.0175, -0.0019, -0.0572], device='cuda:0') 100 1e-05 changing lr epoch 478, time 214.73, cls_loss 0.4791 cls_loss_mapping 0.0008 cls_loss_causal 0.4171 re_mapping 0.0062 re_causal 0.0166 /// teacc 98.91 lr 0.00001000 Epoch 480, weight, value: tensor([[-0.0737, -0.1635, -0.1112, ..., -0.0378, 0.0667, -0.1133], [-0.0830, -0.0961, -0.0902, ..., 0.0997, -0.0391, 0.2412], [ 0.0017, -0.0316, -0.0630, ..., -0.0066, -0.0106, -0.0827], ..., [ 0.0380, -0.1220, 0.1837, ..., 0.0393, -0.1266, 0.0624], [-0.0264, 0.0663, -0.1542, ..., -0.0498, 0.0198, -0.1207], [-0.0648, 0.0834, 0.0433, ..., -0.0650, -0.0557, -0.0363]], device='cuda:0'), grad: tensor([[ 9.0957e-05, 1.9777e-04, 1.9801e-04, ..., 7.3862e-04, 4.0054e-04, 2.8419e-04], [ 1.3056e-03, 1.1702e-03, -6.1810e-05, ..., 1.6918e-03, 3.6907e-04, 1.8358e-03], [ 1.0520e-04, 3.2210e-04, 2.4366e-04, ..., 1.1415e-03, 5.3120e-04, 6.1226e-04], ..., [ 2.0707e-04, -5.7487e-03, 1.1891e-04, ..., 1.2255e-03, 2.1601e-04, -6.9695e-03], [-2.9697e-03, 2.9716e-03, -1.0127e-04, ..., -4.4594e-03, 4.7636e-04, -4.8332e-03], [ 5.1308e-04, 2.9349e-04, 1.4591e-04, ..., 1.6098e-03, -2.8706e-03, 5.2834e-03]], device='cuda:0') Epoch 480, bias, value: tensor([-0.0310, 0.0418, -0.0005, -0.0113, 0.0213, -0.0338, 0.0049, 0.0065, -0.0026, -0.0148], device='cuda:0'), grad: tensor([ 0.0088, 0.0124, 0.0117, 0.0125, -0.0109, 0.0438, -0.0202, -0.0135, -0.0327, -0.0119], device='cuda:0') 100 1e-05 changing lr epoch 479, time 215.04, cls_loss 0.4659 cls_loss_mapping 0.0007 cls_loss_causal 0.4034 re_mapping 0.0061 re_causal 0.0166 /// teacc 98.96 lr 0.00001000 Epoch 481, weight, value: tensor([[-0.0738, -0.1636, -0.1113, ..., -0.0379, 0.0666, -0.1134], [-0.0831, -0.0962, -0.0904, ..., 0.0997, -0.0393, 0.2412], [ 0.0017, -0.0316, -0.0630, ..., -0.0067, -0.0103, -0.0828], ..., [ 0.0380, -0.1220, 0.1838, ..., 0.0395, -0.1265, 0.0625], [-0.0263, 0.0664, -0.1542, ..., -0.0499, 0.0196, -0.1209], [-0.0648, 0.0836, 0.0435, ..., -0.0650, -0.0557, -0.0362]], device='cuda:0'), grad: tensor([[ 3.2640e-04, -1.2743e-04, 1.2279e-04, ..., 7.6628e-04, 1.0318e-04, 1.1241e-04], [ 3.4022e-04, 2.6536e-04, 1.8740e-04, ..., 1.1740e-03, 1.7476e-04, -8.3685e-05], [ 8.3971e-04, 3.0208e-04, 1.7214e-04, ..., 1.9026e-03, 4.1938e-04, 4.2886e-05], ..., [ 4.6730e-04, 2.7871e-04, 8.7380e-05, ..., 1.0033e-03, 1.8966e-04, -3.4165e-04], [ 5.1594e-04, 1.3077e-04, 9.3579e-05, ..., 1.3084e-03, 2.6345e-04, 7.4446e-05], [ 5.0688e-04, 4.1151e-04, 3.0112e-04, ..., 1.2293e-03, 2.2602e-04, 8.7917e-06]], device='cuda:0') Epoch 481, bias, value: tensor([-0.0311, 0.0417, -0.0006, -0.0113, 0.0213, -0.0337, 0.0049, 0.0066, -0.0026, -0.0148], device='cuda:0'), grad: tensor([ 0.0082, 0.0148, 0.0179, -0.0696, 0.0147, 0.0197, -0.0149, -0.0210, 0.0137, 0.0167], device='cuda:0') 100 1e-05 changing lr epoch 480, time 215.03, cls_loss 0.5139 cls_loss_mapping 0.0008 cls_loss_causal 0.4440 re_mapping 0.0062 re_causal 0.0170 /// teacc 98.99 lr 0.00001000 Epoch 482, weight, value: tensor([[-0.0738, -0.1636, -0.1113, ..., -0.0377, 0.0666, -0.1134], [-0.0831, -0.0962, -0.0904, ..., 0.0997, -0.0393, 0.2410], [ 0.0018, -0.0317, -0.0630, ..., -0.0067, -0.0103, -0.0825], ..., [ 0.0380, -0.1220, 0.1838, ..., 0.0395, -0.1265, 0.0626], [-0.0263, 0.0665, -0.1542, ..., -0.0499, 0.0198, -0.1208], [-0.0648, 0.0836, 0.0435, ..., -0.0650, -0.0557, -0.0363]], device='cuda:0'), grad: tensor([[ 1.1367e-04, 1.2083e-03, 4.4394e-04, ..., 2.0733e-03, 1.0824e-03, 6.1369e-04], [-7.7307e-05, -1.9588e-03, 3.1090e-04, ..., -4.7073e-03, -1.7433e-03, 1.3266e-03], [-1.4627e-04, 7.3471e-03, 2.3186e-04, ..., -1.2144e-05, 1.0231e-02, 1.7679e-04], ..., [ 2.9111e-04, 3.2663e-04, -5.4970e-03, ..., -8.4763e-03, 7.6711e-05, -1.8549e-03], [-1.8864e-03, -8.5354e-04, 2.9588e-04, ..., -1.2484e-03, -2.5070e-02, 8.8882e-04], [ 4.0555e-04, -3.8195e-04, 1.7147e-03, ..., 2.8973e-03, 2.3735e-04, 1.9913e-03]], device='cuda:0') Epoch 482, bias, value: tensor([-0.0310, 0.0417, -0.0006, -0.0113, 0.0212, -0.0338, 0.0049, 0.0066, -0.0026, -0.0148], device='cuda:0'), grad: tensor([ 0.0212, -0.0109, 0.0322, 0.0036, 0.0009, -0.0031, 0.0396, -0.0795, -0.0264, 0.0224], device='cuda:0') 100 1e-05 changing lr epoch 481, time 214.80, cls_loss 0.4861 cls_loss_mapping 0.0006 cls_loss_causal 0.4272 re_mapping 0.0062 re_causal 0.0171 /// teacc 99.02 lr 0.00001000 Epoch 483, weight, value: tensor([[-0.0738, -0.1635, -0.1112, ..., -0.0377, 0.0666, -0.1133], [-0.0833, -0.0961, -0.0905, ..., 0.0998, -0.0394, 0.2410], [ 0.0018, -0.0317, -0.0630, ..., -0.0067, -0.0104, -0.0825], ..., [ 0.0380, -0.1220, 0.1839, ..., 0.0395, -0.1266, 0.0625], [-0.0263, 0.0664, -0.1542, ..., -0.0500, 0.0200, -0.1209], [-0.0648, 0.0835, 0.0435, ..., -0.0650, -0.0558, -0.0364]], device='cuda:0'), grad: tensor([[ 6.0827e-05, 6.4969e-05, 2.7347e-04, ..., 1.6060e-03, 4.1842e-05, 1.1164e-04], [ 1.0794e-04, -1.9181e-04, 3.2854e-04, ..., -1.3089e-04, 4.0829e-05, 1.8990e-04], [ 3.0780e-04, 5.2881e-04, 6.1941e-04, ..., 1.4925e-03, 3.5524e-05, 7.1239e-04], ..., [-1.0214e-03, -1.2102e-03, -1.9321e-03, ..., -9.4376e-03, 2.7609e-04, -2.0046e-03], [ 2.1064e-04, 3.0112e-04, 3.4380e-04, ..., 9.4557e-04, 1.5020e-03, 3.9911e-04], [ 2.0957e-04, 2.2602e-04, 8.8024e-04, ..., 1.9989e-03, 1.8501e-04, 6.9714e-04]], device='cuda:0') Epoch 483, bias, value: tensor([-0.0309, 0.0416, -0.0006, -0.0114, 0.0213, -0.0338, 0.0050, 0.0066, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0084, -0.0225, 0.0082, 0.0057, 0.0061, -0.0154, 0.0240, -0.0298, 0.0049, 0.0105], device='cuda:0') 100 1e-05 changing lr epoch 482, time 214.97, cls_loss 0.5004 cls_loss_mapping 0.0008 cls_loss_causal 0.4306 re_mapping 0.0060 re_causal 0.0164 /// teacc 98.99 lr 0.00001000 Epoch 484, weight, value: tensor([[-0.0739, -0.1636, -0.1112, ..., -0.0379, 0.0666, -0.1133], [-0.0831, -0.0962, -0.0904, ..., 0.0998, -0.0393, 0.2410], [ 0.0018, -0.0318, -0.0630, ..., -0.0068, -0.0105, -0.0824], ..., [ 0.0381, -0.1220, 0.1838, ..., 0.0395, -0.1266, 0.0623], [-0.0263, 0.0664, -0.1543, ..., -0.0498, 0.0199, -0.1208], [-0.0648, 0.0835, 0.0434, ..., -0.0650, -0.0559, -0.0365]], device='cuda:0'), grad: tensor([[ 2.7428e-03, -1.9741e-03, 6.9189e-04, ..., 6.7282e-04, 1.6272e-05, 2.6798e-03], [ 5.0049e-03, 2.2621e-03, 2.4624e-03, ..., 6.0654e-03, 2.1964e-05, 4.7340e-03], [-8.0414e-03, -2.2717e-03, 4.3988e-04, ..., -2.0981e-03, 3.2522e-06, -6.2370e-03], ..., [ 5.7983e-04, 5.5838e-04, 9.1362e-04, ..., 3.3436e-03, 1.4931e-05, 4.4584e-04], [ 2.1610e-03, 1.8902e-03, 1.8673e-03, ..., 4.7417e-03, 1.5318e-04, 1.9264e-03], [ 1.2608e-03, 1.1654e-03, 1.0309e-03, ..., 2.5158e-03, 1.5056e-04, 1.1072e-03]], device='cuda:0') Epoch 484, bias, value: tensor([-0.0309, 0.0418, -0.0007, -0.0114, 0.0214, -0.0338, 0.0050, 0.0065, -0.0025, -0.0150], device='cuda:0'), grad: tensor([-0.0094, 0.0287, -0.0115, -0.0361, 0.0179, -0.0106, -0.0214, 0.0107, 0.0205, 0.0111], device='cuda:0') 100 1e-05 changing lr epoch 483, time 214.83, cls_loss 0.4764 cls_loss_mapping 0.0007 cls_loss_causal 0.4096 re_mapping 0.0060 re_causal 0.0164 /// teacc 98.97 lr 0.00001000 Epoch 485, weight, value: tensor([[-0.0738, -0.1637, -0.1111, ..., -0.0380, 0.0667, -0.1132], [-0.0831, -0.0962, -0.0905, ..., 0.0998, -0.0394, 0.2412], [ 0.0018, -0.0319, -0.0631, ..., -0.0068, -0.0105, -0.0824], ..., [ 0.0380, -0.1222, 0.1836, ..., 0.0393, -0.1267, 0.0621], [-0.0263, 0.0665, -0.1544, ..., -0.0498, 0.0199, -0.1208], [-0.0647, 0.0836, 0.0434, ..., -0.0650, -0.0560, -0.0365]], device='cuda:0'), grad: tensor([[-0.0017, -0.0007, 0.0004, ..., -0.0073, 0.0001, 0.0009], [ 0.0005, 0.0004, 0.0006, ..., 0.0039, 0.0002, 0.0003], [-0.0016, -0.0001, -0.0029, ..., -0.0076, -0.0011, 0.0003], ..., [-0.0025, -0.0003, -0.0054, ..., -0.0022, 0.0002, -0.0055], [ 0.0009, 0.0007, 0.0008, ..., 0.0040, 0.0001, 0.0007], [ 0.0014, 0.0035, 0.0037, ..., 0.0064, 0.0002, 0.0022]], device='cuda:0') Epoch 485, bias, value: tensor([-0.0310, 0.0419, -0.0008, -0.0114, 0.0213, -0.0338, 0.0052, 0.0065, -0.0024, -0.0149], device='cuda:0'), grad: tensor([-0.0242, 0.0184, -0.0453, 0.0048, -0.0176, 0.0340, -0.0132, -0.0066, 0.0186, 0.0312], device='cuda:0') 100 1e-05 changing lr epoch 484, time 214.97, cls_loss 0.4846 cls_loss_mapping 0.0008 cls_loss_causal 0.4156 re_mapping 0.0060 re_causal 0.0162 /// teacc 98.97 lr 0.00001000 Epoch 486, weight, value: tensor([[-0.0738, -0.1636, -0.1112, ..., -0.0379, 0.0667, -0.1132], [-0.0831, -0.0963, -0.0904, ..., 0.0998, -0.0393, 0.2411], [ 0.0019, -0.0320, -0.0633, ..., -0.0069, -0.0106, -0.0823], ..., [ 0.0381, -0.1221, 0.1836, ..., 0.0394, -0.1268, 0.0621], [-0.0265, 0.0663, -0.1545, ..., -0.0498, 0.0198, -0.1210], [-0.0647, 0.0837, 0.0436, ..., -0.0650, -0.0559, -0.0365]], device='cuda:0'), grad: tensor([[ 6.8617e-04, -1.0654e-05, 5.1588e-05, ..., 1.4114e-03, 2.0075e-04, 4.5156e-04], [-4.5509e-03, 8.4698e-05, 4.6700e-05, ..., 1.0290e-03, 1.2791e-04, 5.4789e-04], [ 7.6818e-04, 1.4877e-04, 2.1095e-03, ..., 3.6583e-03, 6.6757e-05, 3.0875e-04], ..., [ 4.8828e-04, -2.0242e-04, 5.6922e-05, ..., -4.9973e-04, 3.2693e-05, 1.9383e-04], [ 5.4216e-04, 3.9053e-04, 2.7037e-04, ..., 1.7099e-03, 5.0211e-04, 3.7813e-04], [ 6.9761e-04, 1.0985e-04, 3.0056e-05, ..., 1.1921e-03, 7.0155e-05, 3.4523e-04]], device='cuda:0') Epoch 486, bias, value: tensor([-0.0310, 0.0418, -0.0008, -0.0114, 0.0213, -0.0340, 0.0052, 0.0066, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0163, -0.0113, 0.0201, -0.0191, -0.0139, -0.0264, 0.0075, -0.0129, 0.0201, 0.0196], device='cuda:0') 100 1e-05 changing lr epoch 485, time 215.08, cls_loss 0.4710 cls_loss_mapping 0.0008 cls_loss_causal 0.4079 re_mapping 0.0062 re_causal 0.0165 /// teacc 99.00 lr 0.00001000 Epoch 487, weight, value: tensor([[-0.0737, -0.1636, -0.1112, ..., -0.0380, 0.0667, -0.1133], [-0.0832, -0.0962, -0.0903, ..., 0.0999, -0.0393, 0.2411], [ 0.0019, -0.0320, -0.0632, ..., -0.0069, -0.0106, -0.0823], ..., [ 0.0382, -0.1221, 0.1836, ..., 0.0394, -0.1267, 0.0621], [-0.0264, 0.0663, -0.1546, ..., -0.0497, 0.0197, -0.1209], [-0.0648, 0.0836, 0.0435, ..., -0.0650, -0.0560, -0.0365]], device='cuda:0'), grad: tensor([[-8.1635e-04, 1.3185e-04, 8.3923e-05, ..., -8.9417e-03, 5.5879e-08, 2.4259e-05], [-1.6890e-03, 1.9431e-05, 1.3745e-04, ..., -5.7983e-03, 1.7695e-06, 5.5343e-05], [ 3.0308e-03, 2.6345e-05, 2.9397e-04, ..., 6.2637e-03, 1.4249e-07, 1.6198e-05], ..., [ 1.5030e-03, 1.5616e-05, 5.8842e-04, ..., 3.4294e-03, 7.3314e-06, 3.3426e-04], [ 9.0551e-04, -6.1333e-05, 3.8356e-05, ..., 2.7161e-03, 1.2387e-07, -4.7591e-07], [-2.0561e-03, 1.0794e-04, 3.1322e-05, ..., -4.9248e-03, 2.0102e-05, 1.0061e-03]], device='cuda:0') Epoch 487, bias, value: tensor([-0.0310, 0.0419, -0.0008, -0.0115, 0.0211, -0.0340, 0.0051, 0.0066, -0.0023, -0.0148], device='cuda:0'), grad: tensor([-0.0449, -0.0218, 0.0348, -0.0141, 0.0063, 0.0085, 0.0137, 0.0158, 0.0158, -0.0141], device='cuda:0') 100 1e-05 changing lr epoch 486, time 214.95, cls_loss 0.4836 cls_loss_mapping 0.0008 cls_loss_causal 0.4272 re_mapping 0.0060 re_causal 0.0164 /// teacc 99.02 lr 0.00001000 Epoch 488, weight, value: tensor([[-0.0736, -0.1637, -0.1114, ..., -0.0380, 0.0667, -0.1133], [-0.0832, -0.0962, -0.0904, ..., 0.1000, -0.0394, 0.2412], [ 0.0018, -0.0318, -0.0632, ..., -0.0069, -0.0106, -0.0824], ..., [ 0.0382, -0.1221, 0.1836, ..., 0.0395, -0.1266, 0.0622], [-0.0265, 0.0664, -0.1544, ..., -0.0497, 0.0197, -0.1209], [-0.0648, 0.0836, 0.0434, ..., -0.0649, -0.0560, -0.0367]], device='cuda:0'), grad: tensor([[ 6.1750e-04, 5.3453e-04, 3.1972e-04, ..., 1.3485e-03, 2.9397e-04, 2.5415e-04], [ 2.6178e-04, 1.8156e-04, 4.5836e-05, ..., 1.1835e-03, 3.9279e-05, 1.9944e-04], [ 1.0529e-03, 1.0490e-03, 6.9237e-04, ..., 2.5768e-03, 5.6744e-04, 7.3338e-04], ..., [ 3.6335e-04, 2.3282e-04, 8.4877e-05, ..., -1.8129e-03, 7.4208e-05, -1.0672e-03], [ 1.8101e-03, 3.2926e-04, 2.5392e-04, ..., 1.3990e-03, 2.5177e-04, 1.9562e-04], [ 2.3232e-03, -3.8586e-03, 2.5702e-04, ..., 1.9760e-03, 2.0707e-04, 3.7789e-04]], device='cuda:0') Epoch 488, bias, value: tensor([-0.0311, 0.0418, -0.0007, -0.0113, 0.0212, -0.0341, 0.0050, 0.0066, -0.0024, -0.0147], device='cuda:0'), grad: tensor([ 0.0117, 0.0131, 0.0180, -0.0495, 0.0225, -0.0069, -0.0160, -0.0190, 0.0164, 0.0095], device='cuda:0') 100 1e-05 changing lr ---------------------saving model at epoch 487---------------------------------------------------- epoch 487, time 231.08, cls_loss 0.5005 cls_loss_mapping 0.0008 cls_loss_causal 0.4342 re_mapping 0.0061 re_causal 0.0168 /// teacc 99.05 lr 0.00001000 Epoch 489, weight, value: tensor([[-0.0736, -0.1638, -0.1113, ..., -0.0381, 0.0665, -0.1133], [-0.0832, -0.0963, -0.0904, ..., 0.0999, -0.0394, 0.2412], [ 0.0018, -0.0318, -0.0632, ..., -0.0069, -0.0105, -0.0823], ..., [ 0.0382, -0.1221, 0.1837, ..., 0.0396, -0.1267, 0.0622], [-0.0265, 0.0665, -0.1544, ..., -0.0497, 0.0197, -0.1210], [-0.0648, 0.0836, 0.0434, ..., -0.0651, -0.0561, -0.0366]], device='cuda:0'), grad: tensor([[ 8.2850e-05, -6.6662e-04, 9.0338e-08, ..., -1.4467e-03, 6.2399e-08, -3.6340e-06], [ 1.0312e-04, 3.2997e-04, 9.3970e-07, ..., 1.8044e-03, 2.2352e-08, -1.7345e-05], [ 1.1402e-04, 2.5392e-04, -3.1199e-06, ..., 1.4477e-03, 5.9046e-07, -5.7548e-05], ..., [ 8.9943e-05, 3.0112e-04, 2.2545e-05, ..., 1.7157e-03, 1.0245e-08, 6.9380e-05], [ 2.2674e-04, 3.1495e-04, 3.5334e-06, ..., 2.0561e-03, 1.4296e-06, 1.9986e-06], [-1.0319e-03, -3.2806e-04, -3.7253e-05, ..., 1.5497e-03, 5.8860e-07, -8.8066e-06]], device='cuda:0') Epoch 489, bias, value: tensor([-0.0311, 0.0418, -0.0006, -0.0114, 0.0214, -0.0341, 0.0050, 0.0067, -0.0024, -0.0148], device='cuda:0'), grad: tensor([-0.0209, 0.0145, 0.0120, 0.0122, 0.0146, -0.0210, -0.0486, 0.0133, 0.0142, 0.0098], device='cuda:0') 100 1e-05 changing lr epoch 488, time 214.82, cls_loss 0.4755 cls_loss_mapping 0.0008 cls_loss_causal 0.4105 re_mapping 0.0060 re_causal 0.0161 /// teacc 99.03 lr 0.00001000 Epoch 490, weight, value: tensor([[-0.0737, -0.1638, -0.1113, ..., -0.0381, 0.0667, -0.1133], [-0.0831, -0.0963, -0.0903, ..., 0.0999, -0.0394, 0.2413], [ 0.0017, -0.0318, -0.0631, ..., -0.0068, -0.0105, -0.0822], ..., [ 0.0384, -0.1221, 0.1837, ..., 0.0398, -0.1268, 0.0622], [-0.0266, 0.0664, -0.1543, ..., -0.0498, 0.0196, -0.1211], [-0.0649, 0.0838, 0.0434, ..., -0.0651, -0.0561, -0.0366]], device='cuda:0'), grad: tensor([[ 6.9849e-08, 1.8287e-04, 2.8554e-06, ..., 1.9665e-03, 3.2640e-04, 1.0431e-04], [ 6.4790e-05, 5.1022e-04, 3.9482e-04, ..., 3.1452e-03, 5.3495e-05, 1.0796e-03], [ 4.1164e-07, 9.4593e-05, 2.2665e-05, ..., 1.6861e-03, -8.4352e-04, 1.9503e-04], ..., [ 1.3256e-03, 4.1652e-04, 7.8201e-03, ..., 8.6517e-03, 1.7095e-04, 1.5511e-02], [ 1.3374e-05, 1.6289e-03, 2.4378e-04, ..., 5.4169e-03, 7.1812e-04, 1.0767e-03], [-1.5316e-03, 3.8948e-03, -8.6594e-03, ..., -1.4893e-02, 8.1253e-04, -1.6342e-02]], device='cuda:0') Epoch 490, bias, value: tensor([-0.0312, 0.0417, -0.0006, -0.0113, 0.0213, -0.0340, 0.0050, 0.0068, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0128, 0.0182, 0.0088, -0.0123, -0.0675, 0.0153, 0.0210, 0.0034, 0.0258, -0.0253], device='cuda:0') 100 1e-05 changing lr epoch 489, time 214.72, cls_loss 0.4683 cls_loss_mapping 0.0009 cls_loss_causal 0.4003 re_mapping 0.0060 re_causal 0.0157 /// teacc 99.01 lr 0.00001000 Epoch 491, weight, value: tensor([[-0.0736, -0.1638, -0.1114, ..., -0.0379, 0.0665, -0.1132], [-0.0832, -0.0964, -0.0903, ..., 0.0998, -0.0394, 0.2411], [ 0.0017, -0.0319, -0.0630, ..., -0.0068, -0.0107, -0.0822], ..., [ 0.0384, -0.1222, 0.1835, ..., 0.0397, -0.1269, 0.0621], [-0.0265, 0.0664, -0.1542, ..., -0.0497, 0.0196, -0.1210], [-0.0650, 0.0839, 0.0434, ..., -0.0651, -0.0562, -0.0366]], device='cuda:0'), grad: tensor([[-2.1896e-02, -3.5667e-03, 9.7975e-07, ..., -1.2650e-02, -2.0866e-03, -1.8463e-03], [ 1.7910e-03, 1.8644e-04, 2.7567e-07, ..., 3.4676e-03, 5.7173e-04, 1.4439e-03], [ 2.4490e-03, 8.9455e-04, 4.8459e-05, ..., 2.4452e-03, 2.7809e-03, 5.9843e-04], ..., [ 1.5326e-03, 1.6248e-04, 1.7866e-05, ..., 3.5877e-03, 2.2662e-04, 1.6031e-03], [ 1.4687e-03, 1.6422e-03, 5.8651e-05, ..., 2.5387e-03, 1.1482e-03, 8.9550e-04], [ 1.2255e-03, 1.1569e-04, -5.1379e-05, ..., 1.7786e-03, 3.5954e-04, 6.8235e-04]], device='cuda:0') Epoch 491, bias, value: tensor([-0.0310, 0.0416, -0.0007, -0.0113, 0.0213, -0.0340, 0.0050, 0.0067, -0.0025, -0.0148], device='cuda:0'), grad: tensor([-0.0361, 0.0136, 0.0181, -0.0140, 0.0085, -0.0202, -0.0037, 0.0126, 0.0129, 0.0084], device='cuda:0') 100 1e-05 changing lr epoch 490, time 214.74, cls_loss 0.4458 cls_loss_mapping 0.0007 cls_loss_causal 0.3882 re_mapping 0.0059 re_causal 0.0158 /// teacc 99.01 lr 0.00001000 Epoch 492, weight, value: tensor([[-0.0735, -0.1637, -0.1115, ..., -0.0380, 0.0666, -0.1131], [-0.0833, -0.0963, -0.0903, ..., 0.0998, -0.0394, 0.2411], [ 0.0018, -0.0318, -0.0631, ..., -0.0069, -0.0107, -0.0822], ..., [ 0.0384, -0.1221, 0.1836, ..., 0.0398, -0.1268, 0.0623], [-0.0265, 0.0664, -0.1543, ..., -0.0497, 0.0196, -0.1211], [-0.0650, 0.0840, 0.0435, ..., -0.0649, -0.0560, -0.0366]], device='cuda:0'), grad: tensor([[-1.1241e-04, 6.3241e-05, 1.1528e-04, ..., 1.0004e-03, 2.3854e-04, 9.8720e-06], [ 3.2768e-03, 3.6311e-04, 2.4090e-03, ..., 4.9706e-03, -2.4395e-03, 2.2030e-03], [-3.5973e-03, -8.0185e-03, 3.3712e-04, ..., 6.1941e-04, 3.8862e-04, 1.6522e-04], ..., [-2.8439e-03, 2.7990e-04, -2.2335e-03, ..., -7.8659e-03, 8.7500e-05, -2.5539e-03], [ 5.1975e-04, 6.9141e-04, 2.9540e-04, ..., -1.1101e-03, 3.0231e-04, 1.8254e-05], [-3.7117e-03, 1.7252e-03, -3.4027e-03, ..., -9.3384e-03, -3.3045e-04, -5.3329e-03]], device='cuda:0') Epoch 492, bias, value: tensor([-0.0311, 0.0415, -0.0006, -0.0114, 0.0212, -0.0341, 0.0050, 0.0069, -0.0024, -0.0147], device='cuda:0'), grad: tensor([ 0.0061, -0.0057, -0.0138, 0.0073, 0.0358, -0.0006, 0.0100, -0.0009, -0.0212, -0.0170], device='cuda:0') 100 1e-05 changing lr epoch 491, time 214.83, cls_loss 0.5111 cls_loss_mapping 0.0009 cls_loss_causal 0.4448 re_mapping 0.0060 re_causal 0.0166 /// teacc 99.01 lr 0.00001000 Epoch 493, weight, value: tensor([[-0.0735, -0.1636, -0.1115, ..., -0.0381, 0.0667, -0.1132], [-0.0834, -0.0964, -0.0903, ..., 0.0999, -0.0393, 0.2411], [ 0.0018, -0.0318, -0.0632, ..., -0.0069, -0.0107, -0.0823], ..., [ 0.0387, -0.1222, 0.1835, ..., 0.0398, -0.1268, 0.0622], [-0.0263, 0.0665, -0.1544, ..., -0.0496, 0.0196, -0.1209], [-0.0653, 0.0841, 0.0434, ..., -0.0651, -0.0561, -0.0366]], device='cuda:0'), grad: tensor([[ 1.6857e-07, -4.0889e-05, 2.8778e-07, ..., 2.4395e-03, -9.0170e-04, 7.9870e-04], [ 1.1083e-07, -1.3285e-03, 1.6894e-06, ..., -1.1696e-02, 2.7008e-08, 1.4257e-04], [-4.3865e-07, 2.2399e-04, 2.1085e-05, ..., -3.5229e-03, 1.7598e-05, -6.5079e-03], ..., [ 3.0268e-07, 2.5916e-04, 3.4589e-06, ..., 2.4948e-03, 2.6803e-06, 7.3290e-04], [ 5.2806e-07, 3.0875e-04, 3.4899e-05, ..., 2.9469e-03, 6.7770e-05, 1.0080e-03], [ 2.0582e-06, 4.2343e-04, 8.7917e-07, ..., 2.6302e-03, 5.6076e-04, 9.1171e-04]], device='cuda:0') Epoch 493, bias, value: tensor([-0.0311, 0.0416, -0.0006, -0.0115, 0.0211, -0.0340, 0.0049, 0.0069, -0.0023, -0.0147], device='cuda:0'), grad: tensor([ 0.0137, -0.0385, -0.0142, -0.0372, 0.0161, 0.0148, 0.0180, 0.0199, 0.0191, -0.0117], device='cuda:0') 100 1e-05 changing lr epoch 492, time 214.69, cls_loss 0.4722 cls_loss_mapping 0.0007 cls_loss_causal 0.4119 re_mapping 0.0061 re_causal 0.0166 /// teacc 99.01 lr 0.00001000 Epoch 494, weight, value: tensor([[-0.0736, -0.1637, -0.1117, ..., -0.0382, 0.0665, -0.1132], [-0.0834, -0.0965, -0.0902, ..., 0.0998, -0.0393, 0.2411], [ 0.0020, -0.0318, -0.0631, ..., -0.0067, -0.0106, -0.0823], ..., [ 0.0386, -0.1221, 0.1836, ..., 0.0399, -0.1267, 0.0622], [-0.0264, 0.0664, -0.1545, ..., -0.0497, 0.0195, -0.1209], [-0.0652, 0.0840, 0.0433, ..., -0.0652, -0.0563, -0.0369]], device='cuda:0'), grad: tensor([[ 6.7186e-04, 1.6665e-04, 2.2244e-04, ..., 1.4048e-03, -1.3006e-04, 6.0469e-05], [ 5.6314e-04, -6.2418e-04, 2.6393e-04, ..., -1.4877e-03, 9.6709e-06, 2.5415e-04], [ 1.4668e-03, 1.8406e-04, 9.9754e-04, ..., 2.4166e-03, 6.2168e-05, 1.8060e-04], ..., [-3.8534e-05, 6.4516e-04, 2.0623e-04, ..., 1.6031e-03, 2.3637e-06, 1.1139e-03], [ 8.1015e-04, 3.4189e-04, 1.9920e-04, ..., 1.6184e-03, 1.3924e-04, 3.7408e-04], [ 1.0538e-03, -4.9019e-04, 2.4283e-04, ..., -3.5133e-03, 3.8058e-05, 7.7581e-04]], device='cuda:0') Epoch 494, bias, value: tensor([-0.0312, 0.0416, -0.0004, -0.0115, 0.0212, -0.0339, 0.0049, 0.0071, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0154, -0.0176, 0.0279, -0.0142, -0.0084, 0.0229, 0.0005, -0.0069, 0.0152, -0.0347], device='cuda:0') 100 1e-05 changing lr epoch 493, time 214.73, cls_loss 0.4974 cls_loss_mapping 0.0008 cls_loss_causal 0.4407 re_mapping 0.0059 re_causal 0.0168 /// teacc 99.03 lr 0.00001000 Epoch 495, weight, value: tensor([[-0.0734, -0.1638, -0.1114, ..., -0.0381, 0.0666, -0.1131], [-0.0835, -0.0965, -0.0902, ..., 0.0996, -0.0393, 0.2413], [ 0.0020, -0.0317, -0.0631, ..., -0.0067, -0.0105, -0.0823], ..., [ 0.0387, -0.1221, 0.1837, ..., 0.0401, -0.1268, 0.0621], [-0.0265, 0.0664, -0.1547, ..., -0.0498, 0.0196, -0.1210], [-0.0653, 0.0840, 0.0432, ..., -0.0652, -0.0564, -0.0370]], device='cuda:0'), grad: tensor([[ 3.0708e-03, 5.5170e-04, 1.2636e-04, ..., 1.0887e-02, 4.3559e-04, 3.6983e-03], [-4.0483e-04, -6.2323e-04, -1.7471e-03, ..., 3.9148e-04, 3.4630e-05, 1.0929e-03], [ 3.1872e-03, 1.3971e-03, 9.7752e-04, ..., -3.5954e-03, 2.8157e-04, -5.9166e-03], ..., [-1.4143e-03, -4.5919e-04, 8.2588e-04, ..., 3.2806e-03, 4.5002e-05, 2.0447e-03], [ 1.3971e-03, -2.4843e-04, -1.6630e-05, ..., 3.5286e-03, 2.6107e-04, 1.5295e-04], [ 1.3390e-03, 1.1616e-03, 4.6206e-04, ..., 4.4975e-03, 8.2552e-05, 6.2704e-04]], device='cuda:0') Epoch 495, bias, value: tensor([-0.0312, 0.0414, -0.0004, -0.0116, 0.0212, -0.0338, 0.0050, 0.0072, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0424, 0.0125, -0.0009, -0.0082, -0.0480, -0.0145, -0.0280, 0.0025, 0.0212, 0.0211], device='cuda:0') 100 1e-05 changing lr ---------------------saving model at epoch 494---------------------------------------------------- epoch 494, time 231.02, cls_loss 0.4693 cls_loss_mapping 0.0007 cls_loss_causal 0.4061 re_mapping 0.0059 re_causal 0.0164 /// teacc 99.06 lr 0.00001000 Epoch 496, weight, value: tensor([[-0.0735, -0.1639, -0.1114, ..., -0.0384, 0.0666, -0.1132], [-0.0834, -0.0964, -0.0900, ..., 0.0997, -0.0393, 0.2414], [ 0.0019, -0.0317, -0.0631, ..., -0.0066, -0.0105, -0.0823], ..., [ 0.0387, -0.1220, 0.1835, ..., 0.0401, -0.1270, 0.0620], [-0.0267, 0.0663, -0.1549, ..., -0.0498, 0.0194, -0.1210], [-0.0654, 0.0840, 0.0433, ..., -0.0653, -0.0564, -0.0370]], device='cuda:0'), grad: tensor([[ 4.1270e-04, -1.2598e-03, 4.0293e-05, ..., -3.0708e-03, 3.6120e-04, 1.9035e-03], [ 6.8808e-04, 9.3079e-04, 2.0310e-05, ..., 4.2038e-03, 7.4577e-04, -8.3466e-03], [ 1.5366e-04, 1.2267e-04, 2.2307e-05, ..., -2.1305e-03, 2.4056e-04, -7.8249e-04], ..., [ 2.4796e-04, 5.3978e-04, 1.1474e-05, ..., 3.0270e-03, 4.0102e-04, 2.4939e-04], [ 7.3552e-05, -1.9283e-03, 1.1921e-04, ..., 2.9063e-04, 2.8610e-04, 2.1744e-03], [-1.0357e-03, 6.0463e-04, -1.7204e-03, ..., -5.7526e-03, 4.2534e-04, -6.3820e-03]], device='cuda:0') Epoch 496, bias, value: tensor([-0.0313, 0.0415, -0.0004, -0.0115, 0.0212, -0.0338, 0.0050, 0.0071, -0.0026, -0.0148], device='cuda:0'), grad: tensor([-0.0184, 0.0168, 0.0070, 0.0196, -0.0113, -0.0144, 0.0221, -0.0108, -0.0176, 0.0070], device='cuda:0') 100 1e-05 changing lr epoch 495, time 214.52, cls_loss 0.4661 cls_loss_mapping 0.0008 cls_loss_causal 0.4009 re_mapping 0.0059 re_causal 0.0159 /// teacc 99.05 lr 0.00001000 Epoch 497, weight, value: tensor([[-0.0733, -0.1638, -0.1113, ..., -0.0383, 0.0666, -0.1132], [-0.0832, -0.0965, -0.0900, ..., 0.0997, -0.0392, 0.2415], [ 0.0019, -0.0315, -0.0630, ..., -0.0064, -0.0104, -0.0824], ..., [ 0.0389, -0.1218, 0.1837, ..., 0.0403, -0.1270, 0.0622], [-0.0269, 0.0662, -0.1549, ..., -0.0500, 0.0194, -0.1211], [-0.0656, 0.0840, 0.0432, ..., -0.0654, -0.0565, -0.0371]], device='cuda:0'), grad: tensor([[-3.9011e-05, -1.0669e-04, 3.1088e-06, ..., 2.6178e-04, 9.0431e-07, 2.2262e-05], [ 3.1650e-05, 2.5749e-04, 1.2465e-05, ..., 9.7370e-04, 1.3588e-06, 1.4286e-03], [ 5.3674e-05, 1.5819e-04, 1.6063e-05, ..., 1.2989e-03, 1.3318e-07, 1.2887e-04], ..., [-1.7869e-04, -4.6425e-03, -1.3864e-04, ..., -7.5684e-03, 1.9409e-06, -3.2532e-02], [ 1.8597e-05, 1.7900e-03, 2.2247e-05, ..., 8.1158e-04, 2.8778e-07, 1.3275e-02], [ 2.3693e-05, 7.7057e-04, 2.3946e-05, ..., 8.5974e-04, 4.4703e-05, 4.1809e-03]], device='cuda:0') Epoch 497, bias, value: tensor([-0.0312, 0.0416, -0.0003, -0.0115, 0.0212, -0.0339, 0.0048, 0.0072, -0.0027, -0.0149], device='cuda:0'), grad: tensor([ 0.0032, 0.0084, 0.0080, 0.0089, 0.0126, 0.0043, 0.0056, -0.0746, 0.0146, 0.0090], device='cuda:0') 100 1e-05 changing lr epoch 496, time 215.24, cls_loss 0.4860 cls_loss_mapping 0.0009 cls_loss_causal 0.4350 re_mapping 0.0059 re_causal 0.0163 /// teacc 99.06 lr 0.00001000 Epoch 498, weight, value: tensor([[-0.0733, -0.1639, -0.1114, ..., -0.0383, 0.0667, -0.1132], [-0.0832, -0.0965, -0.0901, ..., 0.0996, -0.0392, 0.2413], [ 0.0019, -0.0315, -0.0629, ..., -0.0063, -0.0106, -0.0824], ..., [ 0.0389, -0.1218, 0.1838, ..., 0.0403, -0.1268, 0.0624], [-0.0269, 0.0660, -0.1550, ..., -0.0500, 0.0194, -0.1211], [-0.0656, 0.0841, 0.0432, ..., -0.0654, -0.0564, -0.0371]], device='cuda:0'), grad: tensor([[ 8.3618e-03, 1.1396e-03, 1.2612e-04, ..., 8.2779e-03, -2.7940e-09, 1.4677e-03], [ 6.8808e-04, 5.5408e-04, 6.3562e-04, ..., 2.2774e-03, 0.0000e+00, 5.3215e-04], [ 8.6308e-04, 6.5279e-04, 7.3099e-04, ..., 2.5024e-03, 7.1712e-08, 7.9727e-04], ..., [ 8.8406e-04, 5.5265e-04, 1.1282e-03, ..., 2.9583e-03, 0.0000e+00, 2.9039e-04], [-3.5114e-03, -1.6623e-03, -4.6844e-03, ..., -9.8038e-03, 5.5879e-09, -2.5711e-03], [ 4.2534e-04, -1.8060e-04, 4.8470e-04, ..., -1.1635e-03, 1.8626e-09, 1.5986e-04]], device='cuda:0') Epoch 498, bias, value: tensor([-0.0313, 0.0414, -0.0004, -0.0115, 0.0213, -0.0339, 0.0049, 0.0072, -0.0027, -0.0148], device='cuda:0'), grad: tensor([ 0.0327, 0.0132, 0.0122, 0.0109, -0.0185, 0.0346, -0.0185, 0.0165, -0.0631, -0.0201], device='cuda:0') 100 1e-05 changing lr epoch 497, time 214.87, cls_loss 0.4995 cls_loss_mapping 0.0010 cls_loss_causal 0.4303 re_mapping 0.0059 re_causal 0.0159 /// teacc 99.05 lr 0.00001000 Epoch 499, weight, value: tensor([[-0.0734, -0.1639, -0.1115, ..., -0.0383, 0.0668, -0.1134], [-0.0831, -0.0965, -0.0901, ..., 0.0996, -0.0392, 0.2415], [ 0.0018, -0.0316, -0.0629, ..., -0.0064, -0.0107, -0.0824], ..., [ 0.0389, -0.1219, 0.1838, ..., 0.0403, -0.1268, 0.0624], [-0.0268, 0.0659, -0.1548, ..., -0.0498, 0.0195, -0.1210], [-0.0657, 0.0842, 0.0431, ..., -0.0655, -0.0564, -0.0372]], device='cuda:0'), grad: tensor([[ 2.0526e-06, 1.1599e-04, 3.9674e-06, ..., 8.0156e-04, 1.7323e-06, 1.2457e-04], [ 2.1718e-06, 1.2767e-04, 4.7646e-06, ..., 6.6090e-04, 4.9882e-06, 4.7326e-04], [ 1.5050e-05, -1.7071e-04, 2.1607e-05, ..., -1.9150e-03, 3.6713e-06, 2.8563e-04], ..., [-2.6107e-05, 1.5056e-04, -1.7658e-06, ..., 9.3079e-04, 1.7136e-07, 3.2177e-03], [ 1.1568e-03, 4.6730e-03, 1.8492e-03, ..., 2.7008e-03, 1.3486e-05, 1.2293e-03], [ 3.5942e-05, 2.2948e-04, 6.0320e-05, ..., 7.8106e-04, 2.6822e-07, -6.7596e-03]], device='cuda:0') Epoch 499, bias, value: tensor([-0.0314, 0.0415, -0.0004, -0.0115, 0.0213, -0.0339, 0.0048, 0.0071, -0.0025, -0.0148], device='cuda:0'), grad: tensor([ 0.0097, 0.0105, -0.0022, -0.0169, -0.0512, -0.0065, 0.0089, 0.0208, 0.0300, -0.0032], device='cuda:0') 100 1e-05 changing lr ---------------------saving model at epoch 498---------------------------------------------------- epoch 498, time 230.80, cls_loss 0.4923 cls_loss_mapping 0.0010 cls_loss_causal 0.4357 re_mapping 0.0058 re_causal 0.0159 /// teacc 99.08 lr 0.00001000 Epoch 500, weight, value: tensor([[-0.0734, -0.1639, -0.1115, ..., -0.0385, 0.0668, -0.1135], [-0.0831, -0.0966, -0.0902, ..., 0.0995, -0.0393, 0.2414], [ 0.0020, -0.0316, -0.0629, ..., -0.0063, -0.0107, -0.0824], ..., [ 0.0387, -0.1219, 0.1838, ..., 0.0402, -0.1268, 0.0623], [-0.0267, 0.0662, -0.1548, ..., -0.0497, 0.0195, -0.1210], [-0.0658, 0.0839, 0.0430, ..., -0.0656, -0.0565, -0.0373]], device='cuda:0'), grad: tensor([[ 4.6196e-03, 2.1381e-03, 4.7266e-05, ..., 2.9850e-04, 2.4567e-03, -4.0245e-04], [ 1.4277e-03, -2.5868e-05, 3.7044e-05, ..., 1.8721e-03, 5.4264e-04, 2.8030e-02], [-3.7270e-03, -1.0548e-03, 1.8179e-04, ..., 7.0906e-04, -3.5362e-03, 1.0023e-03], ..., [ 4.8637e-04, 1.2010e-05, -6.0129e-04, ..., 4.3917e-04, 5.8317e-04, 1.5450e-04], [-5.5695e-03, 6.5536e-03, 3.1519e-04, ..., -1.4067e-03, 7.5150e-04, -1.1492e-03], [ 7.2289e-04, 4.7743e-05, 1.2660e-04, ..., -9.4128e-04, 5.6744e-04, 3.6168e-04]], device='cuda:0') Epoch 500, bias, value: tensor([-0.0315, 0.0414, -0.0003, -0.0116, 0.0216, -0.0339, 0.0049, 0.0072, -0.0025, -0.0150], device='cuda:0'), grad: tensor([-0.0128, 0.0381, -0.0125, 0.0065, -0.0036, -0.0352, 0.0231, 0.0067, 0.0058, -0.0160], device='cuda:0') 100 1e-05 changing lr epoch 499, time 214.32, cls_loss 0.4767 cls_loss_mapping 0.0009 cls_loss_causal 0.4114 re_mapping 0.0058 re_causal 0.0154 /// teacc 99.07 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_RA', '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([[-0.0298, 0.0183, 0.0140, ..., -0.0305, -0.0006, 0.0097], [ 0.0207, 0.0108, -0.0263, ..., -0.0054, -0.0157, -0.0142], [ 0.0241, -0.0026, 0.0090, ..., 0.0294, -0.0064, -0.0062], ..., [ 0.0203, -0.0303, 0.0013, ..., 0.0076, -0.0020, 0.0291], [ 0.0259, -0.0132, -0.0208, ..., -0.0018, 0.0170, 0.0220], [-0.0296, -0.0233, 0.0248, ..., 0.0041, 0.0078, -0.0206]], device='cuda:0'), grad: None Epoch 1, bias, value: tensor([-0.0219, -0.0165, -0.0295, 0.0027, 0.0002, 0.0287, 0.0149, -0.0226, 0.0137, -0.0017], device='cuda:0'), grad: None 100 0.0001 changing lr ---------------------saving model at epoch 0---------------------------------------------------- epoch 0, time 231.12, cls_loss 1.3557 cls_loss_mapping 1.8773 cls_loss_causal 2.2124 re_mapping 0.1405 re_causal 0.1486 /// teacc 85.36 lr 0.00010000 Epoch 2, weight, value: tensor([[-0.0261, 0.0146, 0.0117, ..., -0.0395, -0.0012, 0.0054], [ 0.0187, 0.0061, -0.0362, ..., -0.0016, -0.0163, -0.0201], [ 0.0299, -0.0099, 0.0060, ..., 0.0290, -0.0070, -0.0025], ..., [ 0.0142, -0.0289, -0.0028, ..., 0.0013, -0.0014, 0.0339], [ 0.0233, -0.0159, -0.0253, ..., 0.0008, 0.0164, 0.0185], [-0.0380, -0.0188, 0.0301, ..., 0.0066, 0.0072, -0.0158]], device='cuda:0'), grad: tensor([[-0.0638, -0.0174, -0.0414, ..., -0.0077, 0.0000, -0.0010], [-0.0094, 0.0015, 0.0069, ..., -0.0097, 0.0000, 0.0014], [ 0.0204, 0.0081, 0.0418, ..., 0.0165, 0.0000, 0.0032], ..., [ 0.0043, -0.0229, -0.0016, ..., -0.0025, 0.0000, -0.0250], [-0.0118, 0.0077, 0.0156, ..., 0.0009, 0.0000, 0.0015], [ 0.0181, 0.0073, -0.0224, ..., -0.0145, 0.0000, 0.0116]], device='cuda:0') Epoch 2, bias, value: tensor([-0.0234, -0.0160, -0.0298, 0.0025, -0.0013, 0.0293, 0.0163, -0.0233, 0.0133, -0.0012], device='cuda:0'), grad: tensor([-0.0615, -0.0135, 0.0319, 0.0369, 0.0296, -0.0230, 0.0191, -0.0185, -0.0079, 0.0070], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 1---------------------------------------------------- epoch 1, time 229.55, cls_loss 0.4405 cls_loss_mapping 0.8122 cls_loss_causal 1.9444 re_mapping 0.2013 re_causal 0.2671 /// teacc 91.82 lr 0.00010000 Epoch 3, weight, value: tensor([[-0.0239, 0.0132, 0.0099, ..., -0.0434, -0.0012, 0.0033], [ 0.0189, 0.0043, -0.0411, ..., -0.0020, -0.0163, -0.0240], [ 0.0320, -0.0129, 0.0052, ..., 0.0293, -0.0070, -0.0014], ..., [ 0.0124, -0.0285, -0.0051, ..., -0.0017, -0.0014, 0.0374], [ 0.0227, -0.0193, -0.0271, ..., -0.0005, 0.0164, 0.0152], [-0.0425, -0.0181, 0.0322, ..., 0.0075, 0.0072, -0.0140]], device='cuda:0'), grad: tensor([[ 0.0221, 0.0141, 0.0029, ..., 0.0018, 0.0000, 0.0072], [ 0.0323, 0.0042, 0.0040, ..., 0.0042, 0.0000, 0.0014], [-0.0214, 0.0074, -0.0037, ..., -0.0054, 0.0000, -0.0093], ..., [ 0.0075, 0.0217, 0.0161, ..., 0.0089, 0.0000, 0.0104], [-0.0015, 0.0184, 0.0100, ..., 0.0114, 0.0000, 0.0055], [ 0.0095, -0.0368, -0.0193, ..., -0.0115, 0.0000, -0.0136]], device='cuda:0') Epoch 3, bias, value: tensor([-0.0234, -0.0166, -0.0296, 0.0026, -0.0012, 0.0303, 0.0163, -0.0239, 0.0132, -0.0011], device='cuda:0'), grad: tensor([ 0.0244, 0.0311, -0.0232, -0.0091, 0.0268, -0.0454, -0.0161, 0.0274, 0.0113, -0.0271], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 2---------------------------------------------------- epoch 2, time 230.25, cls_loss 0.2939 cls_loss_mapping 0.4845 cls_loss_causal 1.7351 re_mapping 0.1476 re_causal 0.2378 /// teacc 93.83 lr 0.00010000 Epoch 4, weight, value: tensor([[-0.0227, 0.0125, 0.0080, ..., -0.0451, -0.0049, 0.0026], [ 0.0192, 0.0024, -0.0440, ..., -0.0019, -0.0213, -0.0262], [ 0.0324, -0.0149, 0.0040, ..., 0.0288, -0.0193, -0.0004], ..., [ 0.0105, -0.0291, -0.0068, ..., -0.0032, -0.0007, 0.0388], [ 0.0242, -0.0217, -0.0272, ..., -0.0016, 0.0086, 0.0134], [-0.0463, -0.0165, 0.0337, ..., 0.0084, 0.0020, -0.0131]], device='cuda:0'), grad: tensor([[-1.2619e-02, -1.0042e-03, -1.2321e-03, ..., 1.0138e-03, 1.1414e-04, 1.4186e-04], [-1.0429e-02, 8.6069e-04, 1.0233e-03, ..., 3.0971e-04, 1.5545e-04, 1.4687e-04], [ 5.7869e-03, 8.2254e-04, 1.1120e-03, ..., 1.0223e-03, 7.3552e-05, 9.5901e-03], ..., [ 2.6722e-03, 1.5764e-03, 6.5079e-03, ..., 3.7060e-03, 7.7128e-05, -2.9993e-04], [-1.7023e-03, 3.3112e-03, 7.1411e-03, ..., 5.9052e-03, 5.0497e-04, -1.4984e-02], [ 3.5820e-03, -1.8415e-03, -5.1842e-03, ..., -1.1663e-03, 1.5199e-04, 1.8768e-03]], device='cuda:0') Epoch 4, bias, value: tensor([-0.0234, -0.0165, -0.0296, 0.0025, -0.0012, 0.0309, 0.0162, -0.0248, 0.0133, -0.0009], device='cuda:0'), grad: tensor([-0.0110, -0.0221, 0.0187, 0.0164, -0.0054, -0.0089, 0.0042, 0.0079, -0.0017, 0.0019], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 3---------------------------------------------------- epoch 3, time 229.98, cls_loss 0.2224 cls_loss_mapping 0.3528 cls_loss_causal 1.5172 re_mapping 0.1235 re_causal 0.2194 /// teacc 95.76 lr 0.00010000 Epoch 5, weight, value: tensor([[-2.1751e-02, 1.2036e-02, 6.7400e-03, ..., -4.6559e-02, -6.1361e-03, 2.1058e-03], [ 1.9783e-02, -1.0993e-04, -4.6375e-02, ..., -2.2998e-03, -2.1551e-02, -2.8241e-02], [ 3.2679e-02, -1.6947e-02, 3.4368e-03, ..., 2.8977e-02, -2.2000e-02, -8.3496e-05], ..., [ 1.0788e-02, -2.9527e-02, -8.5121e-03, ..., -4.8042e-03, -8.0969e-04, 4.0829e-02], [ 2.4870e-02, -2.3275e-02, -2.7209e-02, ..., -2.2898e-03, 6.7635e-03, 1.1713e-02], [-4.9579e-02, -1.5481e-02, 3.5391e-02, ..., 9.6285e-03, 1.6631e-03, -1.3594e-02]], device='cuda:0'), grad: tensor([[ 0.0008, 0.0016, 0.0005, ..., 0.0012, 0.0000, 0.0002], [ 0.0009, 0.0022, 0.0016, ..., 0.0002, 0.0000, 0.0005], [ 0.0022, 0.0021, 0.0010, ..., 0.0014, 0.0000, 0.0015], ..., [-0.0014, -0.0178, 0.0004, ..., 0.0016, 0.0000, -0.0096], [-0.0079, 0.0035, 0.0039, ..., 0.0047, 0.0000, 0.0008], [ 0.0016, -0.0167, -0.0118, ..., -0.0067, 0.0000, -0.0010]], device='cuda:0') Epoch 5, bias, value: tensor([-0.0234, -0.0165, -0.0292, 0.0023, -0.0013, 0.0308, 0.0163, -0.0247, 0.0131, -0.0008], device='cuda:0'), grad: tensor([ 0.0023, 0.0007, 0.0045, 0.0472, -0.0135, 0.0151, -0.0314, -0.0096, -0.0012, -0.0140], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 4---------------------------------------------------- epoch 4, time 229.39, cls_loss 0.1693 cls_loss_mapping 0.2619 cls_loss_causal 1.3809 re_mapping 0.1012 re_causal 0.1942 /// teacc 96.28 lr 0.00010000 Epoch 6, weight, value: tensor([[-0.0203, 0.0108, 0.0056, ..., -0.0474, -0.0075, 0.0013], [ 0.0199, -0.0015, -0.0480, ..., -0.0026, -0.0207, -0.0296], [ 0.0326, -0.0182, 0.0025, ..., 0.0289, -0.0240, 0.0007], ..., [ 0.0103, -0.0300, -0.0105, ..., -0.0061, -0.0010, 0.0420], [ 0.0258, -0.0248, -0.0278, ..., -0.0031, 0.0045, 0.0107], [-0.0528, -0.0146, 0.0371, ..., 0.0106, 0.0013, -0.0143]], device='cuda:0'), grad: tensor([[-9.3079e-03, -4.4674e-05, 2.3627e-04, ..., 1.3292e-04, 2.8357e-05, -9.1362e-04], [ 9.8648e-03, 3.4161e-03, 5.0116e-04, ..., 2.8563e-04, 6.2548e-06, 5.2643e-04], [ 6.6681e-03, 2.3823e-03, 9.9087e-04, ..., 6.3944e-04, 3.4943e-06, 4.5166e-03], ..., [-1.5869e-03, 2.6970e-03, 5.4932e-03, ..., 2.9278e-03, 2.0228e-06, -7.3051e-03], [-2.8172e-03, 1.6413e-03, -5.4932e-04, ..., -9.3877e-05, 2.7657e-04, 4.8399e-04], [ 2.7962e-03, -6.1073e-03, -1.4839e-02, ..., -1.0231e-02, 2.0545e-06, -9.7370e-04]], device='cuda:0') Epoch 6, bias, value: tensor([-0.0233, -0.0166, -0.0294, 0.0028, -0.0009, 0.0305, 0.0161, -0.0249, 0.0132, -0.0009], device='cuda:0'), grad: tensor([-9.0485e-03, 1.2978e-02, 1.3687e-02, -1.6129e-02, 1.1322e-02, 1.0696e-02, -1.3939e-02, 7.9453e-05, -2.0046e-03, -7.6408e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 5---------------------------------------------------- epoch 5, time 229.26, cls_loss 0.1371 cls_loss_mapping 0.2095 cls_loss_causal 1.3417 re_mapping 0.0842 re_causal 0.1816 /// teacc 96.33 lr 0.00010000 Epoch 7, weight, value: tensor([[-0.0190, 0.0101, 0.0050, ..., -0.0484, -0.0093, 0.0006], [ 0.0194, -0.0033, -0.0493, ..., -0.0029, -0.0233, -0.0311], [ 0.0326, -0.0189, 0.0018, ..., 0.0290, -0.0262, 0.0016], ..., [ 0.0110, -0.0306, -0.0121, ..., -0.0072, -0.0007, 0.0428], [ 0.0269, -0.0258, -0.0279, ..., -0.0039, 0.0031, 0.0100], [-0.0550, -0.0139, 0.0380, ..., 0.0115, 0.0007, -0.0148]], device='cuda:0'), grad: tensor([[-1.3304e-03, 4.1080e-04, 2.6417e-04, ..., 1.5914e-04, 1.3542e-04, 4.3464e-04], [ 2.2388e-04, 9.0933e-04, 2.8872e-04, ..., 3.0088e-04, 2.3097e-07, 8.1825e-04], [-1.2674e-03, 1.2207e-03, 4.2844e-04, ..., 5.4169e-04, 9.9912e-06, -2.3842e-03], ..., [ 9.9754e-04, 6.2561e-04, 1.2989e-03, ..., 1.0405e-03, 8.1420e-05, 7.0524e-04], [ 1.0895e-02, 3.4733e-03, 3.8757e-03, ..., 6.2599e-03, 3.4165e-04, 8.8978e-04], [-4.1223e-04, -5.8517e-03, -9.8419e-03, ..., -8.1406e-03, 1.7971e-05, 6.8283e-04]], device='cuda:0') Epoch 7, bias, value: tensor([-0.0230, -0.0171, -0.0292, 0.0029, -0.0010, 0.0302, 0.0159, -0.0250, 0.0135, -0.0010], device='cuda:0'), grad: tensor([-0.0002, 0.0012, -0.0019, -0.0040, 0.0019, -0.0210, 0.0172, 0.0026, 0.0118, -0.0076], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 6---------------------------------------------------- epoch 6, time 227.95, cls_loss 0.1238 cls_loss_mapping 0.1801 cls_loss_causal 1.2398 re_mapping 0.0719 re_causal 0.1588 /// teacc 97.04 lr 0.00010000 Epoch 8, weight, value: tensor([[-0.0177, 0.0093, 0.0043, ..., -0.0494, -0.0089, -0.0008], [ 0.0193, -0.0044, -0.0499, ..., -0.0027, -0.0240, -0.0321], [ 0.0330, -0.0208, 0.0012, ..., 0.0293, -0.0275, 0.0027], ..., [ 0.0112, -0.0304, -0.0132, ..., -0.0080, -0.0012, 0.0438], [ 0.0273, -0.0270, -0.0282, ..., -0.0047, 0.0028, 0.0090], [-0.0575, -0.0134, 0.0390, ..., 0.0124, 0.0003, -0.0157]], device='cuda:0'), grad: tensor([[-9.5139e-03, -8.9598e-04, 5.3024e-04, ..., 2.4915e-04, 6.3062e-05, 3.6597e-04], [ 3.6907e-03, 1.6050e-03, 5.9843e-04, ..., 2.2495e-04, 3.6061e-05, 1.1377e-03], [ 1.4582e-03, 1.4229e-03, 1.4877e-03, ..., 3.6836e-04, 2.1368e-05, -8.6641e-04], ..., [-1.0841e-02, -3.9520e-03, -1.6336e-03, ..., 5.4538e-05, 2.0236e-05, -4.8332e-03], [ 2.5673e-03, 1.9207e-03, 1.4076e-03, ..., 8.5974e-04, 1.6618e-04, 7.6962e-04], [ 3.9482e-03, -2.0203e-02, -3.1982e-02, ..., -5.3635e-03, 3.4958e-05, 7.7295e-04]], device='cuda:0') Epoch 8, bias, value: tensor([-0.0228, -0.0169, -0.0289, 0.0029, -0.0011, 0.0300, 0.0156, -0.0250, 0.0136, -0.0011], device='cuda:0'), grad: tensor([-0.0052, 0.0053, 0.0026, 0.0071, 0.0268, 0.0028, -0.0016, -0.0183, 0.0023, -0.0217], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 7---------------------------------------------------- epoch 7, time 226.51, cls_loss 0.1205 cls_loss_mapping 0.1655 cls_loss_causal 1.2069 re_mapping 0.0650 re_causal 0.1466 /// teacc 97.29 lr 0.00010000 Epoch 9, weight, value: tensor([[-0.0169, 0.0085, 0.0050, ..., -0.0497, -0.0097, -0.0020], [ 0.0195, -0.0052, -0.0508, ..., -0.0029, -0.0236, -0.0329], [ 0.0326, -0.0226, 0.0002, ..., 0.0293, -0.0283, 0.0030], ..., [ 0.0115, -0.0310, -0.0144, ..., -0.0088, -0.0016, 0.0447], [ 0.0279, -0.0281, -0.0284, ..., -0.0059, 0.0019, 0.0083], [-0.0588, -0.0129, 0.0396, ..., 0.0134, 0.0002, -0.0160]], device='cuda:0'), grad: tensor([[-1.2993e-02, -7.6675e-04, 2.0587e-04, ..., -3.3054e-03, 7.5512e-06, 2.2948e-04], [ 9.7427e-03, 2.9259e-03, 1.0710e-03, ..., 3.1300e-03, 6.7614e-07, 3.3331e-04], [-9.1476e-03, 8.1635e-04, 6.5565e-04, ..., 1.2550e-03, 8.9034e-06, 9.5749e-04], ..., [ 1.1358e-03, -7.6828e-03, -4.4370e-04, ..., -6.7024e-03, 2.3954e-06, -1.4977e-02], [-3.4275e-03, -1.9817e-03, 3.3073e-03, ..., -1.5068e-03, 2.3860e-06, 5.8699e-04], [ 2.4643e-03, 5.6915e-03, 2.5845e-03, ..., 4.0779e-03, 6.2259e-07, 5.4588e-03]], device='cuda:0') Epoch 9, bias, value: tensor([-0.0227, -0.0169, -0.0294, 0.0026, -0.0008, 0.0302, 0.0153, -0.0247, 0.0137, -0.0012], device='cuda:0'), grad: tensor([-0.0173, 0.0191, -0.0114, 0.0114, -0.0068, 0.0127, 0.0030, -0.0151, -0.0110, 0.0153], device='cuda:0') 100 0.0001 changing lr epoch 8, time 214.06, cls_loss 0.0877 cls_loss_mapping 0.1275 cls_loss_causal 1.1551 re_mapping 0.0587 re_causal 0.1401 /// teacc 97.24 lr 0.00010000 Epoch 10, weight, value: tensor([[-0.0163, 0.0073, 0.0044, ..., -0.0507, -0.0098, -0.0030], [ 0.0193, -0.0057, -0.0516, ..., -0.0034, -0.0237, -0.0343], [ 0.0330, -0.0234, -0.0004, ..., 0.0296, -0.0285, 0.0042], ..., [ 0.0113, -0.0314, -0.0156, ..., -0.0094, -0.0016, 0.0449], [ 0.0287, -0.0288, -0.0290, ..., -0.0070, 0.0019, 0.0072], [-0.0600, -0.0120, 0.0406, ..., 0.0150, 0.0001, -0.0165]], device='cuda:0'), grad: tensor([[-8.5449e-04, 4.1962e-04, 1.3614e-04, ..., 1.9026e-04, 5.7276e-07, 1.0288e-04], [ 1.6403e-02, 2.2850e-03, 2.9016e-04, ..., 1.6460e-03, 2.0722e-07, 3.2163e-04], [-2.2717e-03, 3.5706e-03, 3.5787e-04, ..., 6.5804e-04, 1.2433e-07, 7.1764e-05], ..., [-7.1907e-04, 2.7442e-04, 5.1832e-04, ..., 5.8889e-04, 2.6124e-07, -9.9182e-04], [-1.4778e-02, 1.6365e-03, 8.8120e-04, ..., 3.4308e-04, 9.5367e-06, 6.2895e-04], [ 1.8778e-03, 2.4490e-03, 3.7270e-03, ..., 4.3182e-03, 4.8382e-07, 5.4979e-04]], device='cuda:0') Epoch 10, bias, value: tensor([-0.0227, -0.0172, -0.0287, 0.0032, -0.0011, 0.0295, 0.0154, -0.0251, 0.0138, -0.0009], device='cuda:0'), grad: tensor([ 0.0002, 0.0244, 0.0056, -0.0192, 0.0008, -0.0053, 0.0047, 0.0006, -0.0174, 0.0056], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 9---------------------------------------------------- epoch 9, time 228.28, cls_loss 0.0827 cls_loss_mapping 0.1256 cls_loss_causal 1.1255 re_mapping 0.0537 re_causal 0.1329 /// teacc 97.62 lr 0.00010000 Epoch 11, weight, value: tensor([[-0.0160, 0.0066, 0.0041, ..., -0.0514, -0.0099, -0.0038], [ 0.0189, -0.0069, -0.0531, ..., -0.0035, -0.0234, -0.0354], [ 0.0332, -0.0244, -0.0014, ..., 0.0294, -0.0294, 0.0051], ..., [ 0.0118, -0.0316, -0.0166, ..., -0.0104, -0.0015, 0.0458], [ 0.0292, -0.0294, -0.0292, ..., -0.0075, 0.0016, 0.0064], [-0.0617, -0.0117, 0.0415, ..., 0.0156, -0.0003, -0.0173]], device='cuda:0'), grad: tensor([[-3.2730e-03, 1.9193e-04, 2.2900e-04, ..., 1.0026e-04, 9.5516e-06, 1.4171e-05], [-3.3360e-03, -1.1635e-04, 3.3587e-05, ..., 2.5779e-05, 4.3213e-06, -5.2154e-05], [ 1.1377e-03, 4.5681e-04, 6.5851e-04, ..., 2.4700e-04, 1.1269e-06, -6.7902e-04], ..., [ 8.3876e-04, 1.0519e-03, 1.5650e-03, ..., 7.5197e-04, 4.7460e-06, 5.6362e-04], [-3.8185e-03, -6.9923e-03, -1.2810e-02, ..., -4.8752e-03, 4.2617e-05, 5.6475e-05], [ 1.3056e-03, -2.2542e-04, 5.5075e-04, ..., -1.4186e-04, 2.9933e-06, -4.8056e-07]], device='cuda:0') Epoch 11, bias, value: tensor([-0.0229, -0.0173, -0.0288, 0.0032, -0.0008, 0.0295, 0.0153, -0.0249, 0.0140, -0.0012], device='cuda:0'), grad: tensor([-0.0019, -0.0039, 0.0014, 0.0010, 0.0079, 0.0023, 0.0056, 0.0022, -0.0167, 0.0022], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 10---------------------------------------------------- epoch 10, time 228.40, cls_loss 0.0788 cls_loss_mapping 0.1163 cls_loss_causal 1.0973 re_mapping 0.0492 re_causal 0.1238 /// teacc 97.65 lr 0.00010000 Epoch 12, weight, value: tensor([[-0.0156, 0.0062, 0.0042, ..., -0.0520, -0.0097, -0.0042], [ 0.0188, -0.0081, -0.0537, ..., -0.0037, -0.0234, -0.0363], [ 0.0332, -0.0258, -0.0019, ..., 0.0295, -0.0300, 0.0055], ..., [ 0.0127, -0.0316, -0.0173, ..., -0.0108, -0.0015, 0.0463], [ 0.0296, -0.0301, -0.0295, ..., -0.0079, 0.0015, 0.0058], [-0.0631, -0.0111, 0.0422, ..., 0.0165, -0.0004, -0.0175]], device='cuda:0'), grad: tensor([[-4.7517e-04, 4.4298e-04, 4.9114e-04, ..., 9.2328e-05, 1.7229e-07, -3.3426e-04], [ 6.4278e-04, 3.6373e-03, 5.4550e-03, ..., 1.7233e-03, 1.3188e-06, 3.3379e-04], [ 2.3425e-04, 2.7847e-04, 2.7084e-04, ..., 8.5652e-05, 5.9651e-07, -5.6648e-04], ..., [-3.1543e-04, -4.2963e-04, 1.8911e-03, ..., 1.1129e-03, 2.9840e-06, -4.9305e-04], [ 6.6948e-03, 4.0283e-03, 2.6016e-03, ..., 6.8760e-04, 7.1432e-07, -9.7632e-05], [-1.5312e-02, -6.5041e-03, -4.0779e-03, ..., -1.9989e-03, 2.5127e-06, 4.4179e-04]], device='cuda:0') Epoch 12, bias, value: tensor([-0.0226, -0.0176, -0.0289, 0.0032, -0.0009, 0.0296, 0.0150, -0.0248, 0.0142, -0.0012], device='cuda:0'), grad: tensor([ 0.0010, 0.0083, 0.0003, 0.0048, -0.0098, 0.0090, 0.0021, -0.0002, 0.0136, -0.0291], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 11---------------------------------------------------- epoch 11, time 230.74, cls_loss 0.0682 cls_loss_mapping 0.1035 cls_loss_causal 1.0708 re_mapping 0.0445 re_causal 0.1164 /// teacc 97.93 lr 0.00010000 Epoch 13, weight, value: tensor([[-0.0151, 0.0054, 0.0039, ..., -0.0525, -0.0100, -0.0051], [ 0.0195, -0.0086, -0.0535, ..., -0.0040, -0.0239, -0.0375], [ 0.0332, -0.0269, -0.0026, ..., 0.0292, -0.0313, 0.0064], ..., [ 0.0128, -0.0316, -0.0184, ..., -0.0114, -0.0007, 0.0470], [ 0.0297, -0.0310, -0.0300, ..., -0.0089, 0.0008, 0.0051], [-0.0639, -0.0109, 0.0428, ..., 0.0171, -0.0007, -0.0182]], device='cuda:0'), grad: tensor([[-1.7252e-03, -6.0034e-04, 1.0163e-04, ..., 1.4281e-04, 7.7114e-06, -3.5620e-04], [ 1.4377e-04, 4.0960e-04, 1.5879e-04, ..., -4.3124e-05, 2.2471e-05, 3.4285e-04], [ 9.3699e-05, 1.6999e-04, 2.0099e-04, ..., 2.4724e-04, 7.6815e-06, -2.4676e-04], ..., [ 7.0572e-04, 1.5469e-03, 2.6016e-03, ..., 1.2617e-03, 2.1368e-05, 1.2636e-03], [-5.6076e-04, 5.2452e-04, 2.1005e-04, ..., 8.7690e-04, 1.1392e-05, 1.2999e-03], [ 9.9277e-04, -1.4696e-03, -3.0918e-03, ..., -1.6451e-03, 1.8939e-05, -5.0306e-04]], device='cuda:0') Epoch 13, bias, value: tensor([-0.0226, -0.0171, -0.0290, 0.0033, -0.0010, 0.0292, 0.0151, -0.0247, 0.0140, -0.0013], device='cuda:0'), grad: tensor([-0.0019, 0.0002, 0.0007, -0.0012, -0.0008, 0.0007, -0.0001, 0.0036, 0.0002, -0.0012], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 12---------------------------------------------------- epoch 12, time 225.36, cls_loss 0.0699 cls_loss_mapping 0.0996 cls_loss_causal 1.0461 re_mapping 0.0432 re_causal 0.1136 /// teacc 98.09 lr 0.00010000 Epoch 14, weight, value: tensor([[-0.0146, 0.0052, 0.0044, ..., -0.0521, -0.0086, -0.0057], [ 0.0189, -0.0098, -0.0539, ..., -0.0041, -0.0250, -0.0391], [ 0.0330, -0.0285, -0.0030, ..., 0.0284, -0.0379, 0.0071], ..., [ 0.0126, -0.0315, -0.0194, ..., -0.0119, 0.0008, 0.0475], [ 0.0305, -0.0319, -0.0309, ..., -0.0098, 0.0006, 0.0043], [-0.0645, -0.0106, 0.0436, ..., 0.0179, -0.0025, -0.0188]], device='cuda:0'), grad: tensor([[ 0.0004, 0.0007, 0.0006, ..., 0.0002, 0.0000, 0.0003], [ 0.0007, 0.0010, 0.0002, ..., 0.0002, 0.0000, 0.0006], [ 0.0002, 0.0006, 0.0002, ..., -0.0003, 0.0000, -0.0002], ..., [ 0.0007, 0.0021, 0.0025, ..., 0.0019, 0.0000, -0.0015], [-0.0075, -0.0067, -0.0019, ..., -0.0019, 0.0000, -0.0013], [ 0.0014, -0.0060, -0.0070, ..., -0.0052, 0.0000, -0.0023]], device='cuda:0') Epoch 14, bias, value: tensor([-0.0223, -0.0178, -0.0292, 0.0036, -0.0009, 0.0296, 0.0151, -0.0249, 0.0141, -0.0014], device='cuda:0'), grad: tensor([ 0.0012, 0.0019, 0.0005, 0.0072, 0.0030, 0.0040, 0.0020, 0.0027, -0.0172, -0.0053], device='cuda:0') 100 0.0001 changing lr epoch 13, time 214.36, cls_loss 0.0602 cls_loss_mapping 0.0899 cls_loss_causal 1.0118 re_mapping 0.0411 re_causal 0.1074 /// teacc 98.00 lr 0.00010000 Epoch 15, weight, value: tensor([[-0.0140, 0.0046, 0.0045, ..., -0.0526, -0.0088, -0.0069], [ 0.0189, -0.0106, -0.0546, ..., -0.0042, -0.0247, -0.0400], [ 0.0329, -0.0292, -0.0036, ..., 0.0280, -0.0389, 0.0077], ..., [ 0.0126, -0.0317, -0.0201, ..., -0.0125, 0.0011, 0.0481], [ 0.0311, -0.0327, -0.0309, ..., -0.0105, 0.0002, 0.0036], [-0.0659, -0.0103, 0.0442, ..., 0.0185, -0.0030, -0.0197]], device='cuda:0'), grad: tensor([[ 5.3644e-04, 1.4699e-04, 2.1636e-04, ..., 6.3300e-05, 5.8413e-05, 1.7047e-04], [ 3.4332e-03, 2.4056e-04, 1.4524e-03, ..., 3.8886e-04, 5.2005e-05, 4.8113e-04], [ 6.9962e-03, 2.6727e-04, 2.2831e-03, ..., 6.8378e-04, 2.6673e-05, 1.8883e-03], ..., [-1.4429e-03, 2.2244e-04, 7.7820e-04, ..., 3.8671e-04, -1.4246e-04, -1.8263e-03], [ 2.2411e-05, 2.3603e-04, 1.4811e-03, ..., 5.6553e-04, 3.5733e-05, -1.1883e-03], [ 9.0599e-05, -1.1272e-03, -1.7929e-03, ..., -1.1463e-03, 3.4332e-05, 6.4671e-05]], device='cuda:0') Epoch 15, bias, value: tensor([-0.0223, -0.0181, -0.0292, 0.0037, -0.0008, 0.0298, 0.0146, -0.0246, 0.0144, -0.0017], device='cuda:0'), grad: tensor([ 0.0007, 0.0037, 0.0079, 0.0024, -0.0009, 0.0009, -0.0122, -0.0019, 0.0005, -0.0013], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 14---------------------------------------------------- epoch 14, time 230.45, cls_loss 0.0540 cls_loss_mapping 0.0815 cls_loss_causal 0.9902 re_mapping 0.0366 re_causal 0.1008 /// teacc 98.24 lr 0.00010000 Epoch 16, weight, value: tensor([[-0.0134, 0.0039, 0.0042, ..., -0.0532, -0.0089, -0.0079], [ 0.0187, -0.0115, -0.0547, ..., -0.0039, -0.0243, -0.0419], [ 0.0330, -0.0297, -0.0043, ..., 0.0278, -0.0391, 0.0082], ..., [ 0.0124, -0.0315, -0.0208, ..., -0.0131, 0.0005, 0.0488], [ 0.0316, -0.0330, -0.0311, ..., -0.0111, -0.0005, 0.0032], [-0.0668, -0.0100, 0.0449, ..., 0.0195, -0.0031, -0.0203]], device='cuda:0'), grad: tensor([[-6.6853e-04, 4.0603e-04, 4.3249e-04, ..., 1.3995e-04, 7.2131e-07, 6.6400e-05], [-2.4414e-03, -3.2830e-04, -1.2226e-03, ..., -6.6900e-04, -4.3720e-05, 1.6069e-04], [ 1.6129e-04, 1.7667e-04, 4.1342e-04, ..., 1.4889e-04, 4.4983e-07, -1.1225e-03], ..., [ 2.4748e-04, -5.4091e-05, 5.5647e-04, ..., 1.8501e-04, 2.2389e-06, -2.7442e-04], [ 1.1072e-03, 2.8782e-03, 3.7689e-03, ..., 1.3380e-03, 1.4953e-05, 2.3091e-04], [ 3.0351e-04, 1.1986e-02, 1.4351e-02, ..., 3.8776e-03, 7.0035e-06, 1.4853e-04]], device='cuda:0') Epoch 16, bias, value: tensor([-0.0221, -0.0183, -0.0291, 0.0035, -0.0008, 0.0298, 0.0144, -0.0246, 0.0147, -0.0017], device='cuda:0'), grad: tensor([ 0.0001, -0.0082, 0.0014, -0.0244, 0.0020, 0.0008, 0.0006, 0.0010, 0.0070, 0.0197], device='cuda:0') 100 0.0001 changing lr epoch 15, time 214.07, cls_loss 0.0537 cls_loss_mapping 0.0797 cls_loss_causal 0.9844 re_mapping 0.0358 re_causal 0.0970 /// teacc 97.98 lr 0.00010000 Epoch 17, weight, value: tensor([[-0.0130, 0.0036, 0.0044, ..., -0.0536, -0.0092, -0.0095], [ 0.0186, -0.0123, -0.0549, ..., -0.0038, -0.0242, -0.0436], [ 0.0328, -0.0307, -0.0050, ..., 0.0279, -0.0403, 0.0087], ..., [ 0.0128, -0.0313, -0.0216, ..., -0.0137, 0.0025, 0.0496], [ 0.0322, -0.0341, -0.0319, ..., -0.0120, -0.0008, 0.0029], [-0.0678, -0.0095, 0.0457, ..., 0.0205, -0.0037, -0.0208]], device='cuda:0'), grad: tensor([[ 2.5821e-04, 1.8942e-04, 7.4327e-05, ..., 9.7096e-05, 0.0000e+00, 1.4806e-04], [ 3.3784e-04, 2.1422e-04, 1.8132e-04, ..., 1.1498e-04, 0.0000e+00, 1.9014e-04], [ 1.6665e-04, 1.9026e-04, 1.1617e-04, ..., 5.0187e-05, 0.0000e+00, 1.6913e-05], ..., [-1.5926e-04, 3.9825e-03, 1.6527e-03, ..., 1.0881e-03, 0.0000e+00, 3.7251e-03], [-8.9931e-04, 1.2236e-03, 5.1165e-04, ..., 8.9025e-04, 0.0000e+00, 4.3154e-04], [ 6.6996e-04, -9.6262e-05, -4.8714e-03, ..., -3.4428e-03, 0.0000e+00, 1.6413e-03]], device='cuda:0') Epoch 17, bias, value: tensor([-0.0220, -0.0185, -0.0294, 0.0036, -0.0011, 0.0295, 0.0146, -0.0241, 0.0148, -0.0017], device='cuda:0'), grad: tensor([ 4.7207e-04, 7.0286e-04, 4.2629e-04, -1.5080e-04, 2.2449e-03, -6.3515e-03, -1.9014e-04, 3.9005e-03, 1.1884e-05, -1.0662e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 16---------------------------------------------------- epoch 16, time 229.83, cls_loss 0.0562 cls_loss_mapping 0.0891 cls_loss_causal 0.9423 re_mapping 0.0330 re_causal 0.0891 /// teacc 98.27 lr 0.00010000 Epoch 18, weight, value: tensor([[-0.0130, 0.0031, 0.0039, ..., -0.0546, -0.0097, -0.0105], [ 0.0185, -0.0134, -0.0557, ..., -0.0041, -0.0247, -0.0443], [ 0.0331, -0.0319, -0.0057, ..., 0.0272, -0.0412, 0.0091], ..., [ 0.0127, -0.0310, -0.0227, ..., -0.0150, 0.0028, 0.0501], [ 0.0327, -0.0348, -0.0318, ..., -0.0123, -0.0019, 0.0026], [-0.0690, -0.0093, 0.0465, ..., 0.0213, -0.0041, -0.0215]], device='cuda:0'), grad: tensor([[ 5.2404e-04, 2.5105e-04, 3.7241e-04, ..., 2.2829e-04, 9.2667e-08, 2.3162e-04], [ 6.4611e-04, 1.9813e-04, 2.2602e-04, ..., 1.4269e-04, -1.6997e-06, 4.3780e-05], [-8.1062e-04, 4.8661e-04, 7.3242e-04, ..., 5.1498e-04, 2.7195e-07, -6.4421e-04], ..., [-1.9455e-04, -2.3890e-04, 4.1723e-04, ..., 6.8843e-05, 3.2829e-07, -2.7442e-04], [-1.4219e-03, 3.0994e-04, -4.2319e-04, ..., 2.1350e-04, 2.3609e-07, 2.3448e-04], [ 6.9571e-04, 3.0851e-04, -8.2910e-05, ..., -5.6237e-05, 1.2247e-07, 1.4174e-04]], device='cuda:0') Epoch 18, bias, value: tensor([-0.0222, -0.0188, -0.0295, 0.0036, -0.0009, 0.0301, 0.0144, -0.0241, 0.0150, -0.0021], device='cuda:0'), grad: tensor([ 1.0881e-03, 1.0080e-03, -1.0815e-03, 1.0185e-03, -2.9430e-03, -8.8334e-05, 1.7996e-03, -3.5810e-04, -1.3514e-03, 9.1314e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 17---------------------------------------------------- epoch 17, time 230.06, cls_loss 0.0506 cls_loss_mapping 0.0746 cls_loss_causal 0.9436 re_mapping 0.0325 re_causal 0.0885 /// teacc 98.46 lr 0.00010000 Epoch 19, weight, value: tensor([[-0.0126, 0.0024, 0.0038, ..., -0.0553, -0.0098, -0.0118], [ 0.0180, -0.0134, -0.0556, ..., -0.0038, -0.0247, -0.0448], [ 0.0333, -0.0326, -0.0061, ..., 0.0271, -0.0421, 0.0097], ..., [ 0.0127, -0.0309, -0.0237, ..., -0.0159, 0.0034, 0.0510], [ 0.0333, -0.0358, -0.0321, ..., -0.0131, -0.0022, 0.0015], [-0.0702, -0.0087, 0.0474, ..., 0.0225, -0.0043, -0.0219]], device='cuda:0'), grad: tensor([[ 4.5824e-04, 2.1720e-04, 8.6248e-05, ..., 1.9932e-04, 3.4971e-07, 4.5371e-04], [-6.9559e-05, 1.9479e-04, -1.3709e-04, ..., 1.8299e-05, 9.0338e-07, 3.9220e-04], [-1.3456e-03, 4.1986e-04, 2.6846e-04, ..., 2.2840e-04, 5.0664e-07, -2.1648e-03], ..., [-9.9850e-04, -1.8320e-03, 1.7777e-05, ..., -7.7724e-05, -6.4112e-06, -4.0321e-03], [ 1.3399e-03, 4.4155e-04, 1.2732e-04, ..., 3.9077e-04, 7.0874e-07, 9.7513e-04], [ 9.2316e-04, 7.4387e-04, 1.5783e-04, ..., 3.1948e-04, 1.2489e-06, 8.5449e-04]], device='cuda:0') Epoch 19, bias, value: tensor([-0.0222, -0.0190, -0.0291, 0.0035, -0.0011, 0.0302, 0.0143, -0.0240, 0.0152, -0.0022], device='cuda:0'), grad: tensor([ 8.5640e-04, -4.0323e-05, -2.2717e-03, 4.0932e-03, -1.1892e-03, -1.7862e-03, 7.9441e-04, -5.2185e-03, 2.3727e-03, 2.3880e-03], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 18---------------------------------------------------- epoch 18, time 225.04, cls_loss 0.0359 cls_loss_mapping 0.0588 cls_loss_causal 0.9127 re_mapping 0.0303 re_causal 0.0877 /// teacc 98.54 lr 0.00010000 Epoch 20, weight, value: tensor([[-0.0120, 0.0020, 0.0036, ..., -0.0558, -0.0098, -0.0119], [ 0.0182, -0.0141, -0.0560, ..., -0.0036, -0.0247, -0.0460], [ 0.0334, -0.0335, -0.0068, ..., 0.0269, -0.0421, 0.0104], ..., [ 0.0128, -0.0303, -0.0244, ..., -0.0164, 0.0035, 0.0518], [ 0.0337, -0.0364, -0.0323, ..., -0.0132, -0.0022, 0.0003], [-0.0711, -0.0085, 0.0479, ..., 0.0230, -0.0043, -0.0226]], device='cuda:0'), grad: tensor([[ 1.6582e-04, 1.2290e-04, 3.6478e-04, ..., 1.5450e-04, 6.2175e-06, 1.5795e-05], [ 4.2200e-05, 5.7220e-05, 4.2887e-07, ..., -9.8348e-06, 1.9316e-06, 7.0393e-05], [ 1.1361e-04, 6.1631e-05, 8.8334e-05, ..., 1.5274e-05, 1.3597e-06, -2.4959e-05], ..., [-2.3437e-04, 3.9840e-04, 7.2658e-05, ..., -1.5199e-04, -1.2386e-04, 7.3242e-04], [-4.7982e-05, 1.0288e-04, 3.5614e-05, ..., 2.7180e-04, 3.4384e-06, 3.1173e-05], [ 1.1425e-03, 6.0272e-04, 7.1526e-04, ..., 3.8624e-04, 7.1824e-05, 4.1032e-04]], device='cuda:0') Epoch 20, bias, value: tensor([-0.0220, -0.0188, -0.0292, 0.0035, -0.0011, 0.0301, 0.0141, -0.0237, 0.0153, -0.0025], device='cuda:0'), grad: tensor([ 2.2018e-04, 5.4359e-05, 1.6773e-04, -2.0891e-05, 1.2589e-04, -5.0430e-03, 2.3975e-03, 1.9622e-04, 8.9705e-05, 1.8187e-03], device='cuda:0') 100 0.0001 changing lr epoch 19, time 213.92, cls_loss 0.0404 cls_loss_mapping 0.0628 cls_loss_causal 0.8779 re_mapping 0.0286 re_causal 0.0809 /// teacc 98.41 lr 0.00010000 Epoch 21, weight, value: tensor([[-0.0123, 0.0014, 0.0030, ..., -0.0564, -0.0099, -0.0126], [ 0.0183, -0.0143, -0.0562, ..., -0.0041, -0.0248, -0.0463], [ 0.0332, -0.0344, -0.0072, ..., 0.0265, -0.0421, 0.0111], ..., [ 0.0126, -0.0301, -0.0253, ..., -0.0170, 0.0035, 0.0523], [ 0.0341, -0.0373, -0.0324, ..., -0.0139, -0.0024, -0.0004], [-0.0718, -0.0081, 0.0487, ..., 0.0241, -0.0044, -0.0231]], device='cuda:0'), grad: tensor([[ 5.2094e-05, 9.6977e-05, 8.6069e-05, ..., 4.5806e-05, 4.2887e-07, 2.2605e-05], [ 1.8752e-04, 7.2241e-05, -3.1328e-04, ..., 2.0635e-04, 3.0268e-08, 4.6039e-04], [-4.3178e-04, 4.0859e-05, 3.8207e-05, ..., -5.8126e-04, 4.6566e-09, -5.1928e-04], ..., [-6.2943e-05, -2.1935e-04, 4.9353e-05, ..., 1.3185e-04, 5.4948e-08, -1.8489e-04], [-1.0931e-04, 2.8300e-04, 4.1127e-04, ..., 3.5191e-04, 3.3453e-06, 5.1647e-05], [ 2.0874e-04, -2.6250e-04, -8.0204e-04, ..., -5.0020e-04, 1.2759e-07, 9.2864e-05]], device='cuda:0') Epoch 21, bias, value: tensor([-0.0225, -0.0188, -0.0292, 0.0033, -0.0010, 0.0305, 0.0141, -0.0240, 0.0152, -0.0024], device='cuda:0'), grad: tensor([ 1.0568e-04, 9.1982e-04, -1.5783e-03, 2.7919e-04, 5.5504e-04, -7.9679e-04, 8.3590e-04, -2.5344e-04, 5.4687e-05, -1.1921e-04], device='cuda:0') 100 0.0001 changing lr epoch 20, time 213.81, cls_loss 0.0358 cls_loss_mapping 0.0563 cls_loss_causal 0.9041 re_mapping 0.0274 re_causal 0.0809 /// teacc 98.24 lr 0.00010000 Epoch 22, weight, value: tensor([[-0.0119, 0.0009, 0.0024, ..., -0.0567, -0.0100, -0.0139], [ 0.0185, -0.0149, -0.0565, ..., -0.0050, -0.0248, -0.0467], [ 0.0331, -0.0352, -0.0078, ..., 0.0271, -0.0422, 0.0111], ..., [ 0.0125, -0.0303, -0.0263, ..., -0.0181, 0.0036, 0.0526], [ 0.0341, -0.0382, -0.0328, ..., -0.0145, -0.0026, -0.0008], [-0.0722, -0.0077, 0.0498, ..., 0.0252, -0.0045, -0.0236]], device='cuda:0'), grad: tensor([[-1.3094e-03, -1.0318e-04, -4.2558e-05, ..., 5.1260e-05, 2.0955e-08, 3.7909e-05], [-4.1068e-05, 7.4983e-05, -1.1724e-04, ..., -2.7642e-05, -7.0734e-07, 1.1754e-04], [-9.3162e-05, 1.6236e-04, 2.3678e-05, ..., 4.2886e-05, 6.2864e-08, -1.4520e-04], ..., [-5.0724e-05, 3.7849e-05, 1.9312e-04, ..., 2.5797e-04, 1.8673e-07, -2.1565e-04], [ 3.5465e-05, 4.9400e-04, 2.5225e-04, ..., 2.7871e-04, 1.2526e-07, 1.8609e-04], [ 1.0735e-04, -1.5764e-03, -1.8425e-03, ..., -3.3054e-03, 1.0151e-07, 2.3961e-04]], device='cuda:0') Epoch 22, bias, value: tensor([-0.0227, -0.0187, -0.0294, 0.0035, -0.0008, 0.0304, 0.0144, -0.0244, 0.0151, -0.0019], device='cuda:0'), grad: tensor([-1.2884e-03, -1.4067e-04, -3.4511e-05, -7.1621e-04, 2.3746e-04, -1.1658e-02, 1.4793e-02, 1.6356e-04, 6.3992e-04, -1.9932e-03], device='cuda:0') 100 0.0001 changing lr epoch 21, time 214.16, cls_loss 0.0321 cls_loss_mapping 0.0554 cls_loss_causal 0.8826 re_mapping 0.0266 re_causal 0.0792 /// teacc 98.34 lr 0.00010000 Epoch 23, weight, value: tensor([[-0.0115, 0.0005, 0.0020, ..., -0.0574, -0.0101, -0.0147], [ 0.0184, -0.0151, -0.0567, ..., -0.0050, -0.0249, -0.0475], [ 0.0332, -0.0360, -0.0080, ..., 0.0270, -0.0424, 0.0118], ..., [ 0.0126, -0.0301, -0.0269, ..., -0.0190, 0.0039, 0.0531], [ 0.0346, -0.0388, -0.0332, ..., -0.0151, -0.0029, -0.0007], [-0.0732, -0.0075, 0.0504, ..., 0.0261, -0.0048, -0.0243]], device='cuda:0'), grad: tensor([[-3.4618e-03, -2.9892e-05, 4.9651e-05, ..., -8.9264e-04, 0.0000e+00, -1.9073e-04], [ 2.6083e-04, 2.1839e-04, 5.4777e-05, ..., 1.4925e-04, 0.0000e+00, 5.5647e-04], [-2.2829e-04, 3.0428e-05, 4.9949e-05, ..., 2.8074e-05, 0.0000e+00, -8.5735e-04], ..., [ 1.6344e-04, 1.0633e-03, 1.1864e-03, ..., 1.2245e-03, 0.0000e+00, 8.3923e-04], [ 4.3631e-04, 1.2267e-04, 8.1778e-05, ..., 1.9896e-04, 0.0000e+00, 2.7251e-04], [ 3.5882e-04, -1.6041e-03, -1.7691e-03, ..., -1.7052e-03, 0.0000e+00, -9.8896e-04]], device='cuda:0') Epoch 23, bias, value: tensor([-0.0225, -0.0186, -0.0291, 0.0033, -0.0008, 0.0305, 0.0138, -0.0243, 0.0152, -0.0021], device='cuda:0'), grad: tensor([-4.5166e-03, 6.9952e-04, -6.4945e-04, 1.1486e-04, 1.2999e-03, 2.1858e-03, 8.9586e-05, 2.4357e-03, 8.3494e-04, -2.4967e-03], device='cuda:0') 100 0.0001 changing lr epoch 22, time 214.09, cls_loss 0.0318 cls_loss_mapping 0.0542 cls_loss_causal 0.8527 re_mapping 0.0259 re_causal 0.0762 /// teacc 98.50 lr 0.00010000 Epoch 24, weight, value: tensor([[-0.0115, 0.0001, 0.0014, ..., -0.0577, -0.0101, -0.0150], [ 0.0184, -0.0157, -0.0567, ..., -0.0049, -0.0253, -0.0487], [ 0.0334, -0.0363, -0.0086, ..., 0.0267, -0.0427, 0.0132], ..., [ 0.0129, -0.0299, -0.0278, ..., -0.0198, 0.0042, 0.0536], [ 0.0346, -0.0394, -0.0336, ..., -0.0158, -0.0035, -0.0019], [-0.0737, -0.0072, 0.0510, ..., 0.0266, -0.0052, -0.0245]], device='cuda:0'), grad: tensor([[-1.5106e-03, 8.3160e-04, 1.8740e-04, ..., 4.2224e-04, 1.8040e-06, 3.2568e-04], [ 7.1526e-05, 8.7857e-05, -1.3053e-05, ..., 5.3078e-05, -6.7893e-07, 1.2684e-04], [-6.2585e-05, 2.0289e-04, 4.6343e-05, ..., 8.9586e-05, 7.1805e-07, -6.4564e-04], ..., [ 9.0718e-05, 1.0109e-03, 1.1700e-04, ..., 3.7789e-04, -8.5309e-07, 2.0256e-03], [ 2.3842e-04, 5.4836e-04, 7.7307e-05, ..., 3.6931e-04, 1.2293e-05, 6.3801e-04], [ 1.1539e-04, 5.5504e-04, -2.0504e-05, ..., 2.1005e-04, 3.8594e-06, 4.7874e-04]], device='cuda:0') Epoch 24, bias, value: tensor([-0.0227, -0.0186, -0.0288, 0.0033, -0.0006, 0.0301, 0.0140, -0.0243, 0.0149, -0.0020], device='cuda:0'), grad: tensor([-0.0005, 0.0002, -0.0003, -0.0063, 0.0002, 0.0012, 0.0017, 0.0020, 0.0009, 0.0009], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 23---------------------------------------------------- epoch 23, time 230.20, cls_loss 0.0314 cls_loss_mapping 0.0542 cls_loss_causal 0.8720 re_mapping 0.0250 re_causal 0.0765 /// teacc 98.57 lr 0.00010000 Epoch 25, weight, value: tensor([[-0.0113, -0.0005, 0.0008, ..., -0.0591, -0.0102, -0.0156], [ 0.0182, -0.0167, -0.0567, ..., -0.0058, -0.0243, -0.0495], [ 0.0337, -0.0367, -0.0092, ..., 0.0275, -0.0434, 0.0139], ..., [ 0.0127, -0.0297, -0.0286, ..., -0.0206, 0.0052, 0.0538], [ 0.0349, -0.0403, -0.0339, ..., -0.0160, -0.0038, -0.0023], [-0.0743, -0.0071, 0.0517, ..., 0.0274, -0.0069, -0.0251]], device='cuda:0'), grad: tensor([[-2.4819e-04, -5.8979e-05, 2.3529e-05, ..., 3.3140e-05, 6.0201e-06, 6.5565e-05], [ 3.7026e-04, 2.1410e-04, -1.2241e-05, ..., -1.2659e-05, 1.2768e-06, 2.7680e-04], [ 8.9121e-04, 1.6201e-04, 4.5598e-05, ..., 2.2978e-05, 1.5274e-07, 2.3746e-03], ..., [-3.3798e-03, -1.7519e-03, 1.2183e-04, ..., 1.1247e-04, 7.8827e-06, -3.4676e-03], [ 9.8133e-04, 5.8413e-04, 2.5058e-04, ..., 3.0398e-04, 4.4674e-05, 2.9349e-04], [ 2.3437e-04, -2.9516e-04, -6.6042e-04, ..., -4.8757e-04, 1.1446e-06, 2.3708e-05]], device='cuda:0') Epoch 25, bias, value: tensor([-0.0226, -0.0187, -0.0285, 0.0035, -0.0005, 0.0298, 0.0139, -0.0244, 0.0151, -0.0021], device='cuda:0'), grad: tensor([-2.3723e-04, 5.9700e-04, 2.2488e-03, 4.9973e-04, 1.8702e-03, -2.0824e-06, 1.5497e-04, -6.7596e-03, 1.7366e-03, -1.1307e-04], device='cuda:0') 100 0.0001 changing lr epoch 24, time 214.10, cls_loss 0.0270 cls_loss_mapping 0.0493 cls_loss_causal 0.8440 re_mapping 0.0243 re_causal 0.0721 /// teacc 98.37 lr 0.00010000 Epoch 26, weight, value: tensor([[-0.0112, -0.0008, 0.0009, ..., -0.0602, -0.0103, -0.0164], [ 0.0176, -0.0177, -0.0567, ..., -0.0064, -0.0240, -0.0511], [ 0.0342, -0.0373, -0.0097, ..., 0.0278, -0.0440, 0.0150], ..., [ 0.0126, -0.0298, -0.0295, ..., -0.0216, 0.0054, 0.0542], [ 0.0353, -0.0410, -0.0346, ..., -0.0164, -0.0042, -0.0032], [-0.0750, -0.0066, 0.0522, ..., 0.0280, -0.0073, -0.0254]], device='cuda:0'), grad: tensor([[ 5.7727e-05, 4.4322e-04, 1.3793e-04, ..., 2.8038e-04, 0.0000e+00, 4.9829e-04], [-3.8934e-04, 3.0565e-04, 1.1700e-04, ..., -9.4032e-04, 0.0000e+00, 3.1376e-04], [-1.3189e-03, -4.0483e-04, 1.0961e-04, ..., -2.0516e-04, 0.0000e+00, -1.5345e-03], ..., [-4.1962e-03, -8.7814e-03, -4.1046e-03, ..., -7.9203e-04, 0.0000e+00, -7.4959e-03], [ 3.5048e-04, 6.2180e-04, 1.9109e-04, ..., 4.4942e-04, 0.0000e+00, 6.2084e-04], [ 4.1389e-03, -2.8825e-04, -1.6617e-02, ..., -9.6588e-03, 0.0000e+00, 8.6823e-03]], device='cuda:0') Epoch 26, bias, value: tensor([-0.0227, -0.0191, -0.0283, 0.0033, -0.0005, 0.0301, 0.0140, -0.0247, 0.0152, -0.0020], device='cuda:0'), grad: tensor([ 0.0008, -0.0010, -0.0029, -0.0002, 0.0139, -0.0019, 0.0013, -0.0173, 0.0014, 0.0060], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 25---------------------------------------------------- epoch 25, time 229.97, cls_loss 0.0239 cls_loss_mapping 0.0413 cls_loss_causal 0.8294 re_mapping 0.0230 re_causal 0.0687 /// teacc 98.62 lr 0.00010000 Epoch 27, weight, value: tensor([[-0.0110, -0.0012, 0.0004, ..., -0.0606, -0.0105, -0.0171], [ 0.0176, -0.0185, -0.0569, ..., -0.0065, -0.0220, -0.0518], [ 0.0346, -0.0378, -0.0102, ..., 0.0281, -0.0454, 0.0155], ..., [ 0.0129, -0.0296, -0.0300, ..., -0.0216, 0.0058, 0.0544], [ 0.0352, -0.0417, -0.0352, ..., -0.0172, -0.0050, -0.0034], [-0.0759, -0.0064, 0.0529, ..., 0.0287, -0.0087, -0.0263]], device='cuda:0'), grad: tensor([[ 6.8247e-05, 2.5392e-05, 5.2303e-05, ..., 2.3142e-05, 2.7753e-07, 7.0594e-06], [ 4.2617e-05, 2.9698e-05, 4.5091e-05, ..., 2.0772e-05, 8.4937e-07, 3.3051e-05], [ 1.1724e-04, 5.2840e-05, 7.7069e-05, ..., 2.8402e-05, 8.2515e-07, -1.0617e-05], ..., [ 2.5421e-05, 5.9977e-06, 1.9026e-04, ..., 9.7692e-05, -8.5905e-06, -8.1182e-05], [-1.4658e-03, 1.4842e-04, -2.6226e-04, ..., -5.6887e-04, 6.0722e-07, -2.2188e-05], [ 3.6645e-04, -6.2943e-04, -1.0672e-03, ..., -4.0627e-04, 2.4028e-06, 4.4465e-05]], device='cuda:0') Epoch 27, bias, value: tensor([-0.0228, -0.0188, -0.0283, 0.0031, -0.0006, 0.0302, 0.0142, -0.0246, 0.0151, -0.0020], device='cuda:0'), grad: tensor([ 1.0806e-04, 7.7844e-05, 2.0182e-04, 1.3578e-04, 6.2561e-04, 8.8501e-04, -7.5936e-05, 1.3232e-04, -1.6441e-03, -4.4703e-04], device='cuda:0') 100 0.0001 changing lr epoch 26, time 214.14, cls_loss 0.0234 cls_loss_mapping 0.0431 cls_loss_causal 0.8243 re_mapping 0.0232 re_causal 0.0705 /// teacc 98.39 lr 0.00010000 Epoch 28, weight, value: tensor([[-1.1142e-02, -1.3557e-03, 9.4968e-05, ..., -6.1634e-02, -1.0396e-02, -1.7993e-02], [ 1.7261e-02, -1.9552e-02, -5.7030e-02, ..., -6.8516e-03, -2.2105e-02, -5.3031e-02], [ 3.4955e-02, -3.8593e-02, -1.0770e-02, ..., 2.8062e-02, -4.5719e-02, 1.6113e-02], ..., [ 1.3258e-02, -2.9211e-02, -3.0561e-02, ..., -2.2106e-02, 6.9902e-03, 5.5054e-02], [ 3.5638e-02, -4.2237e-02, -3.5133e-02, ..., -1.7420e-02, -5.2915e-03, -3.8666e-03], [-7.7052e-02, -6.0905e-03, 5.3500e-02, ..., 2.9434e-02, -1.0803e-02, -2.6800e-02]], device='cuda:0'), grad: tensor([[-7.5674e-04, 5.0992e-05, 1.0872e-04, ..., 1.1042e-05, 6.9384e-07, 4.1395e-05], [ 5.3197e-05, 4.2737e-05, -6.0707e-05, ..., -6.7830e-05, 1.8068e-06, 1.3661e-04], [ 5.7411e-04, 1.4234e-04, 1.3220e-04, ..., 5.3227e-05, 1.9651e-07, 1.3208e-03], ..., [ 3.7432e-05, -4.6134e-05, 2.2650e-04, ..., 1.1957e-04, -6.5118e-06, -1.9121e-04], [ 3.3140e-04, 1.0359e-04, 1.3840e-04, ..., 6.3658e-05, 4.4964e-06, 4.8089e-04], [ 7.0632e-05, -1.0818e-04, -4.1318e-04, ..., -2.9469e-04, 3.3993e-06, 1.3161e-04]], device='cuda:0') Epoch 28, bias, value: tensor([-0.0230, -0.0193, -0.0279, 0.0031, -0.0008, 0.0302, 0.0143, -0.0244, 0.0150, -0.0020], device='cuda:0'), grad: tensor([-5.7697e-04, 4.0680e-05, 1.5526e-03, -1.7042e-03, 6.1464e-04, 1.9205e-04, -6.4564e-04, -1.0645e-04, 6.5756e-04, -2.3812e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 27---------------------------------------------------- epoch 27, time 230.04, cls_loss 0.0261 cls_loss_mapping 0.0451 cls_loss_causal 0.8714 re_mapping 0.0229 re_causal 0.0678 /// teacc 98.69 lr 0.00010000 Epoch 29, weight, value: tensor([[-0.0110, -0.0020, -0.0006, ..., -0.0625, -0.0103, -0.0196], [ 0.0172, -0.0201, -0.0572, ..., -0.0064, -0.0222, -0.0542], [ 0.0350, -0.0397, -0.0115, ..., 0.0278, -0.0458, 0.0165], ..., [ 0.0133, -0.0293, -0.0313, ..., -0.0237, 0.0070, 0.0556], [ 0.0357, -0.0427, -0.0350, ..., -0.0178, -0.0055, -0.0043], [-0.0779, -0.0056, 0.0540, ..., 0.0304, -0.0109, -0.0269]], device='cuda:0'), grad: tensor([[ 2.8825e-04, 2.5243e-05, 8.1360e-05, ..., 4.1097e-05, 1.5274e-07, 5.5313e-04], [ 1.2732e-04, 7.6652e-05, -8.3819e-06, ..., -5.3197e-05, 2.7008e-08, 1.4257e-04], [-7.1669e-04, 6.0201e-05, 6.5148e-05, ..., 2.4214e-05, 1.1176e-08, -9.9087e-04], ..., [ 2.6298e-04, 9.2924e-05, 3.5191e-04, ..., 1.7571e-04, 1.6019e-07, -4.2510e-04], [ 6.9976e-05, 5.2989e-05, 5.7220e-05, ..., 4.9680e-05, 7.7579e-07, 1.9479e-04], [ 2.2745e-04, 1.6141e-04, 1.1629e-04, ..., 7.3552e-05, 8.4750e-08, 5.4032e-05]], device='cuda:0') Epoch 29, bias, value: tensor([-0.0233, -0.0196, -0.0281, 0.0034, -0.0006, 0.0301, 0.0143, -0.0244, 0.0153, -0.0020], device='cuda:0'), grad: tensor([ 8.8215e-04, 6.9678e-05, -1.6632e-03, 3.1734e-04, -9.1982e-04, -1.8507e-05, 5.1022e-04, 1.2732e-04, 3.5071e-04, 3.4475e-04], device='cuda:0') 100 0.0001 changing lr epoch 28, time 213.92, cls_loss 0.0217 cls_loss_mapping 0.0385 cls_loss_causal 0.7690 re_mapping 0.0222 re_causal 0.0630 /// teacc 98.44 lr 0.00010000 Epoch 30, weight, value: tensor([[-0.0103, -0.0024, -0.0003, ..., -0.0626, -0.0104, -0.0199], [ 0.0177, -0.0206, -0.0565, ..., -0.0058, -0.0214, -0.0546], [ 0.0348, -0.0406, -0.0120, ..., 0.0273, -0.0477, 0.0169], ..., [ 0.0132, -0.0292, -0.0320, ..., -0.0244, 0.0070, 0.0560], [ 0.0359, -0.0433, -0.0359, ..., -0.0184, -0.0059, -0.0045], [-0.0788, -0.0054, 0.0542, ..., 0.0308, -0.0111, -0.0273]], device='cuda:0'), grad: tensor([[ 4.4554e-05, 1.7181e-05, 5.4240e-05, ..., 1.1928e-05, 5.5786e-07, 4.3243e-05], [ 4.5389e-05, 2.0161e-05, -3.7879e-05, ..., -9.0778e-05, -2.2873e-06, 9.7156e-05], [ 4.7833e-06, 2.6762e-05, 4.3154e-05, ..., 1.6615e-05, 6.5379e-07, -3.8862e-04], ..., [ 3.7879e-05, -7.2047e-06, 9.0301e-05, ..., 7.1526e-05, -7.0706e-06, -5.4896e-05], [-6.2799e-04, -1.0461e-04, -5.1498e-04, ..., -2.4188e-04, 4.4629e-06, -1.0061e-04], [ 3.6430e-04, -8.3506e-05, 2.1681e-05, ..., -5.8919e-05, 3.1237e-06, 2.0516e-04]], device='cuda:0') Epoch 30, bias, value: tensor([-0.0229, -0.0189, -0.0283, 0.0033, -0.0005, 0.0301, 0.0144, -0.0246, 0.0151, -0.0022], device='cuda:0'), grad: tensor([ 8.9407e-05, 5.1111e-05, -2.3866e-04, 2.1601e-04, 2.0611e-04, 2.9588e-04, -8.5592e-05, 9.9897e-05, -1.2150e-03, 5.8174e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 29---------------------------------------------------- epoch 29, time 230.24, cls_loss 0.0240 cls_loss_mapping 0.0394 cls_loss_causal 0.8085 re_mapping 0.0212 re_causal 0.0631 /// teacc 98.70 lr 0.00010000 Epoch 31, weight, value: tensor([[-0.0101, -0.0027, -0.0009, ..., -0.0633, -0.0105, -0.0207], [ 0.0176, -0.0211, -0.0567, ..., -0.0058, -0.0184, -0.0553], [ 0.0352, -0.0413, -0.0126, ..., 0.0272, -0.0488, 0.0173], ..., [ 0.0131, -0.0290, -0.0327, ..., -0.0252, 0.0080, 0.0565], [ 0.0363, -0.0443, -0.0362, ..., -0.0190, -0.0063, -0.0052], [-0.0798, -0.0050, 0.0553, ..., 0.0318, -0.0125, -0.0279]], device='cuda:0'), grad: tensor([[-2.5702e-04, 1.5900e-05, -1.4579e-04, ..., 2.5496e-05, 5.1595e-07, 2.0087e-04], [ 2.3568e-04, 1.4508e-04, 7.5996e-05, ..., 6.9916e-05, -8.2031e-06, 3.4881e-04], [-4.6349e-03, -2.5635e-03, 2.4629e-04, ..., -4.5180e-04, 8.1211e-07, -8.6517e-03], ..., [ 2.0390e-03, 1.0071e-03, 4.6349e-04, ..., 5.6505e-04, 3.5856e-06, 3.3932e-03], [ 2.2144e-03, 1.4429e-03, 1.1997e-03, ..., 8.5068e-04, 5.0701e-06, 2.6245e-03], [ 5.2452e-04, 2.9922e-04, -5.5027e-04, ..., -3.3975e-04, 2.1271e-06, 8.9979e-04]], device='cuda:0') Epoch 31, bias, value: tensor([-0.0231, -0.0189, -0.0284, 0.0035, -0.0011, 0.0300, 0.0146, -0.0242, 0.0151, -0.0021], device='cuda:0'), grad: tensor([-0.0004, 0.0006, -0.0109, 0.0013, -0.0013, 0.0003, -0.0006, 0.0049, 0.0051, 0.0010], device='cuda:0') 100 0.0001 changing lr epoch 30, time 214.02, cls_loss 0.0189 cls_loss_mapping 0.0342 cls_loss_causal 0.7963 re_mapping 0.0204 re_causal 0.0629 /// teacc 98.54 lr 0.00010000 Epoch 32, weight, value: tensor([[-0.0098, -0.0024, -0.0004, ..., -0.0638, -0.0106, -0.0213], [ 0.0175, -0.0214, -0.0569, ..., -0.0057, -0.0182, -0.0554], [ 0.0354, -0.0424, -0.0131, ..., 0.0269, -0.0493, 0.0173], ..., [ 0.0129, -0.0287, -0.0333, ..., -0.0261, 0.0095, 0.0573], [ 0.0364, -0.0453, -0.0366, ..., -0.0199, -0.0065, -0.0058], [-0.0805, -0.0049, 0.0557, ..., 0.0322, -0.0145, -0.0284]], device='cuda:0'), grad: tensor([[-1.6153e-04, 2.3395e-05, -7.0453e-05, ..., 3.9756e-05, 7.7020e-07, 3.4362e-05], [ 2.0131e-05, 4.0352e-05, -1.7536e-04, ..., -1.3435e-04, 5.8115e-07, 3.9816e-05], [-5.0217e-05, 1.5289e-05, 7.1824e-05, ..., 5.2124e-05, 4.4610e-07, -1.2863e-04], ..., [ 1.2182e-05, 7.0000e-04, 1.0796e-03, ..., 7.8154e-04, -9.4026e-06, 8.4400e-05], [-4.2558e-04, 3.3349e-05, -3.5644e-04, ..., -3.8385e-04, 4.1910e-07, 5.0873e-05], [ 4.5776e-04, -6.4850e-04, -8.1873e-04, ..., -3.3069e-04, 2.9076e-06, -3.6359e-05]], device='cuda:0') Epoch 32, bias, value: tensor([-0.0228, -0.0187, -0.0287, 0.0034, -0.0008, 0.0302, 0.0143, -0.0241, 0.0149, -0.0023], device='cuda:0'), grad: tensor([-1.9884e-04, -2.1458e-04, 3.2216e-05, -3.4857e-04, 2.1935e-04, 1.3006e-04, 1.6534e-04, 1.0920e-03, -1.0090e-03, 1.3089e-04], device='cuda:0') 100 0.0001 changing lr epoch 31, time 213.93, cls_loss 0.0201 cls_loss_mapping 0.0357 cls_loss_causal 0.7376 re_mapping 0.0205 re_causal 0.0592 /// teacc 98.54 lr 0.00010000 Epoch 33, weight, value: tensor([[-0.0096, -0.0031, -0.0008, ..., -0.0645, -0.0113, -0.0219], [ 0.0174, -0.0209, -0.0565, ..., -0.0052, -0.0150, -0.0564], [ 0.0352, -0.0433, -0.0135, ..., 0.0261, -0.0496, 0.0174], ..., [ 0.0128, -0.0287, -0.0342, ..., -0.0265, 0.0092, 0.0579], [ 0.0368, -0.0456, -0.0365, ..., -0.0203, -0.0068, -0.0062], [-0.0814, -0.0047, 0.0564, ..., 0.0329, -0.0151, -0.0291]], device='cuda:0'), grad: tensor([[ 2.0191e-05, 7.8976e-05, 1.2517e-05, ..., 9.8109e-05, 5.3085e-08, 7.4685e-05], [ 2.4304e-05, 7.7426e-05, -3.2723e-05, ..., -2.5123e-05, -1.9390e-06, 9.3460e-05], [-5.4264e-04, 9.4056e-05, -2.8324e-04, ..., 6.1631e-05, 1.5274e-07, 2.4632e-05], ..., [-8.9312e-04, -1.3971e-03, 2.3931e-05, ..., -2.5330e-03, 7.4692e-07, -1.2165e-04], [ 2.8753e-04, 1.9646e-04, 3.0971e-04, ..., 1.7917e-04, 2.7381e-07, 2.6393e-04], [ 5.2929e-04, 6.8760e-04, -5.0336e-05, ..., 1.1549e-03, 2.9244e-07, 2.2602e-04]], device='cuda:0') Epoch 33, bias, value: tensor([-0.0229, -0.0184, -0.0292, 0.0036, -0.0006, 0.0299, 0.0146, -0.0240, 0.0151, -0.0025], device='cuda:0'), grad: tensor([ 1.5366e-04, 1.9148e-05, -6.3896e-04, -8.4591e-04, 4.7660e-04, 1.6584e-03, 7.7724e-05, -4.3716e-03, 9.9277e-04, 2.4815e-03], device='cuda:0') 100 0.0001 changing lr epoch 32, time 213.73, cls_loss 0.0162 cls_loss_mapping 0.0351 cls_loss_causal 0.7262 re_mapping 0.0207 re_causal 0.0591 /// teacc 98.56 lr 0.00010000 Epoch 34, weight, value: tensor([[-0.0094, -0.0036, -0.0014, ..., -0.0652, -0.0113, -0.0225], [ 0.0165, -0.0214, -0.0564, ..., -0.0051, -0.0149, -0.0577], [ 0.0354, -0.0442, -0.0140, ..., 0.0258, -0.0497, 0.0178], ..., [ 0.0128, -0.0280, -0.0348, ..., -0.0268, 0.0092, 0.0586], [ 0.0374, -0.0462, -0.0367, ..., -0.0207, -0.0069, -0.0065], [-0.0818, -0.0046, 0.0569, ..., 0.0336, -0.0151, -0.0296]], device='cuda:0'), grad: tensor([[-4.0665e-03, -1.3344e-02, -1.4183e-02, ..., 1.3933e-05, 0.0000e+00, 4.5151e-05], [ 8.7142e-05, 2.8062e-04, 4.0889e-04, ..., 2.9397e-04, 0.0000e+00, 5.1171e-05], [ 7.4530e-04, 1.6432e-03, 1.8578e-03, ..., 6.8069e-05, 0.0000e+00, -6.2418e-04], ..., [ 8.6606e-05, -2.3580e-04, 2.1785e-05, ..., -1.5628e-04, 0.0000e+00, 5.2869e-05], [ 1.2541e-04, 2.8253e-04, 3.2663e-04, ..., 8.6963e-05, 0.0000e+00, 1.1897e-04], [ 1.3030e-04, 4.4179e-04, 3.1859e-05, ..., -3.7861e-04, 0.0000e+00, 2.1362e-04]], device='cuda:0') Epoch 34, bias, value: tensor([-0.0229, -0.0192, -0.0293, 0.0035, -0.0004, 0.0300, 0.0145, -0.0236, 0.0154, -0.0026], device='cuda:0'), grad: tensor([-2.2766e-02, 5.3024e-04, 2.6207e-03, 5.7745e-04, 1.4488e-02, 7.4673e-04, 2.4929e-03, -8.0466e-05, 6.0034e-04, 7.9298e-04], device='cuda:0') 100 0.0001 changing lr epoch 33, time 213.93, cls_loss 0.0193 cls_loss_mapping 0.0346 cls_loss_causal 0.7724 re_mapping 0.0191 re_causal 0.0585 /// teacc 98.47 lr 0.00010000 Epoch 35, weight, value: tensor([[-0.0094, -0.0036, -0.0012, ..., -0.0659, -0.0115, -0.0235], [ 0.0165, -0.0220, -0.0564, ..., -0.0045, -0.0147, -0.0586], [ 0.0358, -0.0447, -0.0146, ..., 0.0251, -0.0500, 0.0187], ..., [ 0.0128, -0.0282, -0.0353, ..., -0.0274, 0.0095, 0.0585], [ 0.0376, -0.0467, -0.0372, ..., -0.0210, -0.0071, -0.0063], [-0.0821, -0.0042, 0.0575, ..., 0.0338, -0.0155, -0.0300]], device='cuda:0'), grad: tensor([[-3.3188e-04, 3.6657e-05, 3.5018e-05, ..., 2.5541e-05, 1.2293e-07, 3.9607e-05], [ 7.7963e-05, 2.0936e-05, 2.4498e-05, ..., -5.8055e-05, -4.2804e-06, 3.1054e-05], [ 1.0437e-04, 1.0437e-04, 1.0383e-04, ..., 6.2466e-05, 9.0618e-07, -6.1452e-05], ..., [ 1.1188e-04, 3.8815e-04, 5.8889e-04, ..., 5.2309e-04, 1.1623e-06, 2.9278e-04], [-5.9652e-04, 7.7307e-05, 9.6500e-05, ..., 8.3327e-05, 1.0179e-06, -4.5061e-04], [ 3.5584e-05, -6.8855e-04, -1.5043e-05, ..., -4.8208e-04, 2.0023e-07, -3.0208e-04]], device='cuda:0') Epoch 35, bias, value: tensor([-0.0228, -0.0192, -0.0290, 0.0031, -0.0002, 0.0301, 0.0142, -0.0238, 0.0155, -0.0026], device='cuda:0'), grad: tensor([-0.0004, -0.0005, 0.0004, 0.0001, -0.0009, 0.0021, 0.0002, 0.0013, -0.0021, -0.0003], device='cuda:0') 100 0.0001 changing lr epoch 34, time 214.01, cls_loss 0.0180 cls_loss_mapping 0.0329 cls_loss_causal 0.7456 re_mapping 0.0191 re_causal 0.0553 /// teacc 98.24 lr 0.00010000 Epoch 36, weight, value: tensor([[-0.0091, -0.0040, -0.0020, ..., -0.0669, -0.0119, -0.0243], [ 0.0167, -0.0225, -0.0568, ..., -0.0044, -0.0142, -0.0586], [ 0.0358, -0.0456, -0.0151, ..., 0.0249, -0.0502, 0.0188], ..., [ 0.0127, -0.0285, -0.0361, ..., -0.0282, 0.0097, 0.0589], [ 0.0375, -0.0473, -0.0375, ..., -0.0215, -0.0074, -0.0070], [-0.0823, -0.0036, 0.0582, ..., 0.0349, -0.0160, -0.0304]], device='cuda:0'), grad: tensor([[-2.9812e-03, -8.4639e-04, -2.4885e-05, ..., -7.7820e-04, 3.2596e-08, 2.0787e-05], [ 9.4986e-04, 5.8383e-05, 8.6308e-05, ..., 2.7966e-04, 6.1467e-08, 4.8250e-05], [ 3.1805e-04, 8.4281e-05, 1.3435e-04, ..., 1.4198e-04, 2.7940e-08, -1.1396e-04], ..., [ 9.2030e-05, -9.4235e-05, 1.3933e-05, ..., 3.7611e-05, -1.0710e-06, -2.3007e-04], [-3.7837e-04, -1.3125e-04, -6.2847e-04, ..., -3.6621e-04, 4.4703e-08, -1.6344e-04], [ 1.1272e-03, 7.7367e-05, 1.2088e-04, ..., 9.1791e-05, 6.6590e-07, 9.5725e-05]], device='cuda:0') Epoch 36, bias, value: tensor([-2.3136e-02, -1.9189e-02, -2.9389e-02, 3.4711e-03, -4.6271e-05, 2.9720e-02, 1.4597e-02, -2.3982e-02, 1.5105e-02, -1.8812e-03], device='cuda:0'), grad: tensor([-7.8430e-03, 1.7233e-03, 7.1955e-04, 1.3294e-03, 5.7554e-04, 1.9150e-03, -4.5967e-04, 7.9870e-05, -1.0090e-03, 2.9659e-03], device='cuda:0') 100 0.0001 changing lr epoch 35, time 214.11, cls_loss 0.0126 cls_loss_mapping 0.0262 cls_loss_causal 0.7348 re_mapping 0.0188 re_causal 0.0590 /// teacc 98.50 lr 0.00010000 Epoch 37, weight, value: tensor([[-0.0086, -0.0041, -0.0022, ..., -0.0672, -0.0120, -0.0251], [ 0.0165, -0.0230, -0.0568, ..., -0.0041, -0.0142, -0.0584], [ 0.0357, -0.0457, -0.0150, ..., 0.0254, -0.0503, 0.0192], ..., [ 0.0128, -0.0284, -0.0368, ..., -0.0294, 0.0096, 0.0594], [ 0.0380, -0.0477, -0.0374, ..., -0.0217, -0.0078, -0.0075], [-0.0833, -0.0037, 0.0586, ..., 0.0353, -0.0162, -0.0313]], device='cuda:0'), grad: tensor([[ 2.9415e-05, 3.1948e-05, 4.8757e-05, ..., 1.6600e-05, 0.0000e+00, 1.7628e-05], [ 1.3702e-05, 4.6492e-05, -4.3362e-06, ..., -2.4348e-05, 0.0000e+00, 6.6400e-05], [-2.8491e-05, 2.2978e-05, 2.5213e-05, ..., 1.5393e-05, 0.0000e+00, -2.3186e-04], ..., [ 8.7321e-05, 8.7857e-05, 1.5521e-04, ..., 1.2827e-04, 0.0000e+00, 1.4925e-04], [-2.4319e-04, 5.4121e-05, 1.1790e-04, ..., 1.3661e-04, 0.0000e+00, -1.2970e-04], [ 4.2766e-05, 2.7537e-05, -1.2577e-04, ..., -1.4055e-04, 0.0000e+00, -6.0201e-06]], device='cuda:0') Epoch 37, bias, value: tensor([-0.0226, -0.0189, -0.0292, 0.0034, -0.0004, 0.0299, 0.0146, -0.0241, 0.0152, -0.0024], device='cuda:0'), grad: tensor([ 1.0306e-04, 8.8692e-05, -7.5638e-05, 3.9506e-04, -1.2982e-04, -5.7489e-05, -2.1970e-04, 4.0650e-04, -5.1785e-04, 6.6422e-06], device='cuda:0') 100 0.0001 changing lr epoch 36, time 214.05, cls_loss 0.0198 cls_loss_mapping 0.0337 cls_loss_causal 0.7589 re_mapping 0.0182 re_causal 0.0539 /// teacc 98.70 lr 0.00010000 Epoch 38, weight, value: tensor([[-0.0087, -0.0042, -0.0021, ..., -0.0677, -0.0121, -0.0261], [ 0.0160, -0.0232, -0.0570, ..., -0.0042, -0.0138, -0.0588], [ 0.0359, -0.0460, -0.0154, ..., 0.0254, -0.0508, 0.0195], ..., [ 0.0127, -0.0286, -0.0376, ..., -0.0305, 0.0098, 0.0601], [ 0.0386, -0.0481, -0.0377, ..., -0.0226, -0.0083, -0.0078], [-0.0843, -0.0036, 0.0590, ..., 0.0358, -0.0168, -0.0319]], device='cuda:0'), grad: tensor([[ 1.8060e-04, 9.3877e-05, 3.1948e-05, ..., 2.7061e-04, 5.6028e-06, 1.3900e-04], [ 8.7082e-05, 1.0127e-04, 7.6532e-05, ..., 8.1360e-05, 3.3062e-07, 2.0194e-04], [-1.4687e-04, 7.4053e-04, 4.5925e-05, ..., 5.6386e-05, 4.9546e-07, 1.1988e-03], ..., [-1.2386e-04, -5.8794e-04, 9.4771e-05, ..., 2.4945e-05, 1.8338e-06, -6.0225e-04], [ 7.8201e-04, 1.9300e-04, 2.8515e-04, ..., 6.1321e-04, 1.8239e-05, 4.7708e-04], [ 2.9898e-04, 1.2106e-04, 1.6534e-04, ..., 5.4693e-04, 1.3404e-05, 1.7667e-04]], device='cuda:0') Epoch 38, bias, value: tensor([-2.2031e-02, -1.9155e-02, -2.8648e-02, 3.0503e-03, 2.1248e-06, 2.9922e-02, 1.4117e-02, -2.4113e-02, 1.5294e-02, -2.7980e-03], device='cuda:0'), grad: tensor([ 0.0006, 0.0005, 0.0022, -0.0032, -0.0007, -0.0022, 0.0001, -0.0007, 0.0022, 0.0012], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 37---------------------------------------------------- epoch 37, time 231.54, cls_loss 0.0162 cls_loss_mapping 0.0308 cls_loss_causal 0.7490 re_mapping 0.0184 re_causal 0.0547 /// teacc 98.71 lr 0.00010000 Epoch 39, weight, value: tensor([[-0.0086, -0.0046, -0.0026, ..., -0.0691, -0.0123, -0.0270], [ 0.0156, -0.0234, -0.0571, ..., -0.0045, -0.0136, -0.0593], [ 0.0360, -0.0468, -0.0160, ..., 0.0251, -0.0512, 0.0200], ..., [ 0.0130, -0.0281, -0.0381, ..., -0.0307, 0.0106, 0.0607], [ 0.0387, -0.0488, -0.0383, ..., -0.0231, -0.0090, -0.0083], [-0.0851, -0.0033, 0.0598, ..., 0.0366, -0.0178, -0.0324]], device='cuda:0'), grad: tensor([[ 9.4831e-05, 1.0818e-04, 5.4359e-05, ..., 1.6034e-04, 4.9360e-08, 2.9296e-05], [-6.6519e-05, -5.9843e-04, 8.8871e-05, ..., -3.4142e-04, -2.4792e-06, -1.1692e-03], [ 1.0252e-04, 6.5994e-04, 6.9499e-05, ..., 3.8671e-04, 2.1793e-07, 8.8549e-04], ..., [ 4.2915e-05, 1.3895e-03, 1.5926e-03, ..., 9.4175e-04, 7.4320e-07, 7.5865e-04], [-3.1710e-05, 1.4067e-04, 9.1612e-05, ..., 1.5306e-04, 2.6263e-07, 6.8069e-05], [ 6.6578e-05, -8.8751e-05, -2.0707e-04, ..., 1.1578e-03, 1.3877e-07, -6.5374e-04]], device='cuda:0') Epoch 39, bias, value: tensor([-0.0223, -0.0193, -0.0287, 0.0030, -0.0001, 0.0301, 0.0142, -0.0237, 0.0151, -0.0028], device='cuda:0'), grad: tensor([ 4.5300e-04, -3.1300e-03, 2.6703e-03, 2.6855e-03, -1.1663e-03, -4.4708e-03, -6.0573e-06, 3.0441e-03, 1.2290e-04, -2.0337e-04], device='cuda:0') 100 0.0001 changing lr epoch 38, time 214.16, cls_loss 0.0159 cls_loss_mapping 0.0280 cls_loss_causal 0.7469 re_mapping 0.0171 re_causal 0.0541 /// teacc 98.65 lr 0.00010000 Epoch 40, weight, value: tensor([[-0.0085, -0.0048, -0.0027, ..., -0.0703, -0.0119, -0.0284], [ 0.0154, -0.0242, -0.0571, ..., -0.0044, -0.0137, -0.0605], [ 0.0361, -0.0467, -0.0163, ..., 0.0254, -0.0515, 0.0209], ..., [ 0.0129, -0.0283, -0.0390, ..., -0.0320, 0.0106, 0.0610], [ 0.0386, -0.0494, -0.0388, ..., -0.0238, -0.0093, -0.0092], [-0.0851, -0.0032, 0.0605, ..., 0.0372, -0.0175, -0.0327]], device='cuda:0'), grad: tensor([[-1.4476e-05, 2.7135e-05, 1.3225e-06, ..., -2.3007e-05, 1.2573e-07, 5.2929e-05], [ 1.7965e-04, 6.4611e-05, 4.1932e-05, ..., 1.2118e-04, -4.9472e-06, 3.7813e-04], [-9.5606e-04, -4.0960e-04, 1.0926e-04, ..., -6.5148e-05, 5.5414e-07, -2.4834e-03], ..., [ 6.5804e-04, 3.1161e-04, 5.9605e-05, ..., 1.2681e-05, 2.0601e-06, 1.7309e-03], [-1.0389e-04, 3.6567e-05, -1.0383e-04, ..., -4.6641e-05, 3.9302e-07, 6.1929e-05], [ 6.6578e-05, 4.5180e-05, -1.6883e-05, ..., -3.4243e-05, 4.2841e-07, 9.5606e-05]], device='cuda:0') Epoch 40, bias, value: tensor([-0.0225, -0.0193, -0.0283, 0.0031, -0.0002, 0.0306, 0.0144, -0.0241, 0.0146, -0.0026], device='cuda:0'), grad: tensor([ 6.1810e-05, 6.3934e-03, -1.0025e-02, 1.0943e-04, -8.7690e-04, 6.4492e-05, 1.0653e-03, 2.9449e-03, 2.9936e-05, 2.3139e-04], device='cuda:0') 100 0.0001 changing lr epoch 39, time 213.85, cls_loss 0.0136 cls_loss_mapping 0.0258 cls_loss_causal 0.7419 re_mapping 0.0171 re_causal 0.0535 /// teacc 98.66 lr 0.00010000 Epoch 41, weight, value: tensor([[-0.0079, -0.0050, -0.0034, ..., -0.0707, -0.0119, -0.0287], [ 0.0153, -0.0252, -0.0578, ..., -0.0047, -0.0136, -0.0610], [ 0.0361, -0.0478, -0.0169, ..., 0.0253, -0.0517, 0.0211], ..., [ 0.0128, -0.0278, -0.0392, ..., -0.0322, 0.0106, 0.0613], [ 0.0391, -0.0498, -0.0388, ..., -0.0239, -0.0095, -0.0094], [-0.0856, -0.0032, 0.0612, ..., 0.0377, -0.0175, -0.0334]], device='cuda:0'), grad: tensor([[ 9.5010e-05, 3.4064e-05, 2.5660e-05, ..., 2.7239e-05, 0.0000e+00, 1.1988e-05], [-5.0163e-04, 1.5162e-05, 6.8247e-05, ..., 8.8990e-05, 0.0000e+00, 8.0392e-06], [ 7.4506e-05, 3.0503e-05, 1.3866e-05, ..., 1.2882e-05, 0.0000e+00, 6.9253e-06], ..., [-9.7752e-06, 4.8757e-05, 9.8288e-05, ..., 1.1498e-04, 0.0000e+00, -1.1653e-05], [ 2.1815e-04, 9.5904e-05, 7.9393e-05, ..., 9.0599e-05, 0.0000e+00, -3.0249e-05], [ 1.3009e-05, -1.0328e-03, -1.2617e-03, ..., -1.7185e-03, 0.0000e+00, 8.3521e-06]], device='cuda:0') Epoch 41, bias, value: tensor([-0.0223, -0.0195, -0.0284, 0.0031, -0.0001, 0.0304, 0.0143, -0.0239, 0.0149, -0.0028], device='cuda:0'), grad: tensor([ 2.8729e-04, -1.6346e-03, 2.4891e-04, 2.0492e-04, 1.0166e-03, 2.6584e-04, 6.4194e-05, 1.3328e-04, 1.0672e-03, -1.6537e-03], device='cuda:0') 100 0.0001 changing lr epoch 40, time 214.29, cls_loss 0.0153 cls_loss_mapping 0.0290 cls_loss_causal 0.6821 re_mapping 0.0179 re_causal 0.0501 /// teacc 98.64 lr 0.00010000 Epoch 42, weight, value: tensor([[-0.0077, -0.0048, -0.0037, ..., -0.0714, -0.0119, -0.0292], [ 0.0153, -0.0259, -0.0577, ..., -0.0042, -0.0135, -0.0613], [ 0.0362, -0.0488, -0.0173, ..., 0.0254, -0.0519, 0.0211], ..., [ 0.0129, -0.0273, -0.0397, ..., -0.0327, 0.0107, 0.0619], [ 0.0398, -0.0505, -0.0393, ..., -0.0245, -0.0096, -0.0097], [-0.0858, -0.0032, 0.0616, ..., 0.0380, -0.0176, -0.0339]], device='cuda:0'), grad: tensor([[-3.2455e-05, 2.2337e-05, 1.9804e-05, ..., 1.6049e-05, 0.0000e+00, 7.2606e-06], [ 3.9525e-06, 2.5183e-05, -9.2089e-06, ..., -4.1425e-06, 0.0000e+00, 1.7852e-05], [ 5.0753e-05, 4.3273e-05, 4.7028e-05, ..., 1.6764e-05, 0.0000e+00, 2.5809e-05], ..., [-1.5795e-05, 7.2479e-05, 6.1929e-05, ..., 3.6001e-05, 0.0000e+00, 2.3842e-05], [ 6.1035e-04, 2.5225e-04, 1.6725e-04, ..., 4.3988e-04, 0.0000e+00, 1.6677e-04], [ 5.0813e-05, 5.4169e-04, 2.2049e-03, ..., 6.0177e-04, 0.0000e+00, 4.6968e-05]], device='cuda:0') Epoch 42, bias, value: tensor([-2.2394e-02, -1.8976e-02, -2.8686e-02, 3.1184e-03, -9.4069e-05, 3.0615e-02, 1.3077e-02, -2.3668e-02, 1.5094e-02, -2.7784e-03], device='cuda:0'), grad: tensor([-6.1810e-05, -1.3605e-05, 1.7381e-04, -6.3419e-04, -2.3460e-03, -3.1233e-04, -3.5143e-04, 1.0681e-04, 1.2264e-03, 2.2125e-03], device='cuda:0') 100 0.0001 changing lr epoch 41, time 214.16, cls_loss 0.0117 cls_loss_mapping 0.0244 cls_loss_causal 0.7297 re_mapping 0.0166 re_causal 0.0510 /// teacc 98.69 lr 0.00010000 Epoch 43, weight, value: tensor([[-0.0077, -0.0051, -0.0041, ..., -0.0722, -0.0120, -0.0296], [ 0.0151, -0.0269, -0.0578, ..., -0.0047, -0.0133, -0.0626], [ 0.0358, -0.0488, -0.0179, ..., 0.0260, -0.0522, 0.0215], ..., [ 0.0131, -0.0279, -0.0403, ..., -0.0333, 0.0109, 0.0621], [ 0.0395, -0.0513, -0.0401, ..., -0.0258, -0.0098, -0.0099], [-0.0859, -0.0030, 0.0621, ..., 0.0385, -0.0181, -0.0344]], device='cuda:0'), grad: tensor([[-5.6356e-05, 1.1198e-05, 2.2426e-05, ..., 1.0706e-05, 4.3772e-08, 2.6315e-05], [ 6.3956e-05, 1.0014e-05, -1.8820e-05, ..., -2.1532e-05, 1.1269e-07, 2.1264e-05], [-1.3137e-04, 1.6168e-05, 9.7007e-06, ..., 1.1936e-05, 2.6077e-08, -1.1820e-04], ..., [ 1.0067e-04, 9.4846e-06, 3.1620e-05, ..., 4.4078e-05, -5.7649e-07, 5.4806e-05], [ 2.3019e-04, 3.8207e-05, 1.2040e-04, ..., 2.4402e-04, 2.9802e-08, 1.3903e-05], [ 2.4274e-05, -1.8620e-04, -8.3351e-04, ..., -4.0340e-04, 1.1828e-07, 7.3873e-06]], device='cuda:0') Epoch 43, bias, value: tensor([-0.0225, -0.0194, -0.0288, 0.0035, 0.0006, 0.0307, 0.0135, -0.0237, 0.0144, -0.0029], device='cuda:0'), grad: tensor([-5.0366e-05, 7.9155e-05, -1.8239e-04, 1.2469e-04, 3.2020e-04, -9.2840e-04, 7.2479e-05, 2.1577e-04, 7.5817e-04, -4.0913e-04], device='cuda:0') 100 0.0001 changing lr epoch 42, time 214.13, cls_loss 0.0152 cls_loss_mapping 0.0314 cls_loss_causal 0.6925 re_mapping 0.0162 re_causal 0.0483 /// teacc 98.66 lr 0.00010000 Epoch 44, weight, value: tensor([[-0.0079, -0.0056, -0.0048, ..., -0.0739, -0.0122, -0.0308], [ 0.0147, -0.0273, -0.0574, ..., -0.0043, -0.0131, -0.0631], [ 0.0358, -0.0491, -0.0184, ..., 0.0258, -0.0524, 0.0217], ..., [ 0.0137, -0.0279, -0.0415, ..., -0.0345, 0.0111, 0.0628], [ 0.0396, -0.0520, -0.0403, ..., -0.0263, -0.0099, -0.0102], [-0.0861, -0.0027, 0.0628, ..., 0.0392, -0.0184, -0.0353]], device='cuda:0'), grad: tensor([[-8.7690e-04, -7.0751e-05, 1.0008e-04, ..., -4.5359e-05, 0.0000e+00, 8.0168e-05], [-3.0100e-05, -3.6640e-03, -5.1594e-04, ..., -1.1513e-02, 0.0000e+00, -4.8523e-03], [ 7.8857e-05, 4.1634e-05, 2.5973e-05, ..., 5.3614e-05, 0.0000e+00, -1.0309e-03], ..., [ 1.1426e-04, 3.6926e-03, 6.5231e-04, ..., 1.1200e-02, 0.0000e+00, 5.3558e-03], [ 1.8859e-04, 2.1827e-04, 3.4666e-04, ..., 3.5977e-04, 0.0000e+00, 1.0061e-04], [ 9.8825e-05, -5.3740e-04, -9.5701e-04, ..., -9.5320e-04, 0.0000e+00, 6.4671e-05]], device='cuda:0') Epoch 44, bias, value: tensor([-0.0232, -0.0197, -0.0292, 0.0038, 0.0002, 0.0306, 0.0139, -0.0230, 0.0146, -0.0029], device='cuda:0'), grad: tensor([-0.0007, -0.0267, -0.0010, 0.0005, 0.0006, 0.0011, -0.0006, 0.0267, 0.0009, -0.0008], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 43---------------------------------------------------- epoch 43, time 230.58, cls_loss 0.0144 cls_loss_mapping 0.0287 cls_loss_causal 0.7013 re_mapping 0.0171 re_causal 0.0477 /// teacc 98.72 lr 0.00010000 Epoch 45, weight, value: tensor([[-0.0076, -0.0061, -0.0043, ..., -0.0747, -0.0125, -0.0312], [ 0.0143, -0.0277, -0.0579, ..., -0.0040, -0.0130, -0.0634], [ 0.0359, -0.0498, -0.0189, ..., 0.0254, -0.0528, 0.0224], ..., [ 0.0140, -0.0283, -0.0423, ..., -0.0361, 0.0113, 0.0631], [ 0.0398, -0.0528, -0.0406, ..., -0.0269, -0.0106, -0.0111], [-0.0871, -0.0025, 0.0632, ..., 0.0398, -0.0186, -0.0358]], device='cuda:0'), grad: tensor([[ 2.2709e-05, 3.4813e-06, 6.6124e-06, ..., 2.0757e-05, 7.9162e-09, 9.6336e-06], [-1.3518e-04, 7.1786e-06, -3.6299e-05, ..., -2.7990e-04, -1.9697e-07, 3.5739e-04], [-1.2636e-04, 8.3297e-06, 9.6411e-06, ..., 7.6175e-05, 1.7229e-08, -4.8208e-04], ..., [ 9.0659e-05, -1.4842e-05, 1.1854e-05, ..., 7.8082e-05, 3.9116e-08, 3.9339e-05], [-3.2830e-04, 3.4869e-05, 3.2008e-05, ..., -1.1134e-04, 4.2841e-08, 5.9128e-05], [ 4.8041e-05, 1.2815e-04, 1.7062e-06, ..., -4.7311e-06, 1.8626e-08, 1.1104e-04]], device='cuda:0') Epoch 45, bias, value: tensor([-0.0233, -0.0196, -0.0291, 0.0038, 0.0002, 0.0311, 0.0145, -0.0235, 0.0144, -0.0030], device='cuda:0'), grad: tensor([ 1.0145e-04, -3.9124e-04, -7.8869e-04, -2.1017e-04, 1.5438e-04, 4.9162e-04, 6.4313e-05, 4.3631e-04, -2.0707e-04, 3.4928e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 44---------------------------------------------------- epoch 44, time 230.17, cls_loss 0.0106 cls_loss_mapping 0.0179 cls_loss_causal 0.6893 re_mapping 0.0156 re_causal 0.0468 /// teacc 98.75 lr 0.00010000 Epoch 46, weight, value: tensor([[-0.0073, -0.0065, -0.0044, ..., -0.0751, -0.0125, -0.0314], [ 0.0144, -0.0281, -0.0576, ..., -0.0037, -0.0128, -0.0636], [ 0.0360, -0.0502, -0.0193, ..., 0.0266, -0.0530, 0.0230], ..., [ 0.0141, -0.0284, -0.0429, ..., -0.0369, 0.0113, 0.0633], [ 0.0400, -0.0532, -0.0411, ..., -0.0280, -0.0107, -0.0117], [-0.0878, -0.0021, 0.0636, ..., 0.0404, -0.0187, -0.0364]], device='cuda:0'), grad: tensor([[-5.2834e-04, 3.4630e-05, 6.2823e-05, ..., 3.6269e-05, 1.2040e-05, -1.2314e-04], [-2.6211e-05, -1.4410e-03, -1.4553e-03, ..., -1.9112e-03, -8.9502e-04, 1.0782e-04], [ 1.5569e-04, 7.1704e-05, 1.0139e-04, ..., 2.3782e-05, 8.1286e-06, -4.7714e-05], ..., [ 1.2070e-04, 1.2553e-04, 1.8394e-04, ..., 1.6248e-04, 1.3314e-05, 6.5565e-05], [ 6.3992e-04, 4.0650e-05, 2.0671e-04, ..., 5.7667e-05, 6.1989e-06, 2.7150e-05], [ 4.5389e-05, -2.9302e-04, -3.9768e-04, ..., -3.4046e-04, 7.0870e-05, 1.9148e-05]], device='cuda:0') Epoch 46, bias, value: tensor([-0.0233, -0.0189, -0.0290, 0.0040, 0.0002, 0.0308, 0.0143, -0.0237, 0.0141, -0.0031], device='cuda:0'), grad: tensor([-4.6778e-04, -6.8550e-03, 3.7909e-04, 5.9280e-03, 8.7357e-04, 1.1063e-03, -2.0905e-03, 2.7865e-05, 1.2207e-03, -1.1665e-04], device='cuda:0') 100 0.0001 changing lr epoch 45, time 213.99, cls_loss 0.0122 cls_loss_mapping 0.0238 cls_loss_causal 0.6697 re_mapping 0.0168 re_causal 0.0460 /// teacc 98.75 lr 0.00010000 Epoch 47, weight, value: tensor([[-0.0072, -0.0067, -0.0052, ..., -0.0758, -0.0126, -0.0318], [ 0.0144, -0.0282, -0.0571, ..., -0.0027, -0.0123, -0.0646], [ 0.0361, -0.0506, -0.0200, ..., 0.0261, -0.0531, 0.0237], ..., [ 0.0139, -0.0289, -0.0435, ..., -0.0378, 0.0113, 0.0631], [ 0.0402, -0.0538, -0.0417, ..., -0.0288, -0.0107, -0.0123], [-0.0878, -0.0018, 0.0646, ..., 0.0413, -0.0188, -0.0368]], device='cuda:0'), grad: tensor([[ 9.7528e-06, 3.7253e-06, 3.7760e-05, ..., 5.4464e-06, 0.0000e+00, 6.5528e-06], [ 2.6274e-04, 1.0133e-04, 5.8534e-07, ..., 9.6083e-05, 0.0000e+00, 1.1295e-04], [ 3.7372e-05, 1.6600e-05, 1.3396e-05, ..., 6.7502e-06, 0.0000e+00, 3.1948e-05], ..., [-1.2803e-04, -2.5988e-04, 5.5954e-06, ..., -1.1164e-04, 0.0000e+00, -4.3559e-04], [ 8.0168e-05, 1.8537e-05, 2.3112e-05, ..., 4.2558e-05, 0.0000e+00, 2.3589e-05], [ 2.8953e-05, 1.7047e-05, -1.7732e-06, ..., 1.5207e-05, 0.0000e+00, 3.2693e-05]], device='cuda:0') Epoch 47, bias, value: tensor([-2.3800e-02, -1.8677e-02, -2.9266e-02, 4.2510e-03, -5.9817e-06, 3.0865e-02, 1.4344e-02, -2.3651e-02, 1.3706e-02, -2.5278e-03], device='cuda:0'), grad: tensor([ 1.0431e-05, 9.7847e-04, 1.1820e-04, 2.0504e-03, 1.9050e-04, -2.5692e-03, 5.2631e-05, -1.1597e-03, 2.0504e-04, 1.2350e-04], device='cuda:0') 100 0.0001 changing lr epoch 46, time 214.10, cls_loss 0.0105 cls_loss_mapping 0.0225 cls_loss_causal 0.6822 re_mapping 0.0154 re_causal 0.0463 /// teacc 98.70 lr 0.00010000 Epoch 48, weight, value: tensor([[-0.0069, -0.0069, -0.0050, ..., -0.0763, -0.0127, -0.0317], [ 0.0139, -0.0287, -0.0576, ..., -0.0029, -0.0123, -0.0657], [ 0.0361, -0.0510, -0.0204, ..., 0.0260, -0.0531, 0.0244], ..., [ 0.0139, -0.0290, -0.0443, ..., -0.0388, 0.0113, 0.0633], [ 0.0410, -0.0535, -0.0401, ..., -0.0275, -0.0113, -0.0122], [-0.0887, -0.0019, 0.0644, ..., 0.0410, -0.0188, -0.0377]], device='cuda:0'), grad: tensor([[ 3.0637e-05, 3.1203e-05, 9.5963e-06, ..., 5.7071e-06, 1.1455e-07, 6.5029e-05], [ 2.4304e-05, 1.5807e-04, -1.6272e-05, ..., -2.0057e-05, 4.7963e-08, 4.2129e-04], [ 5.0306e-05, 7.6950e-05, 1.0841e-05, ..., 6.1914e-06, 1.8626e-08, 1.4997e-04], ..., [-1.4079e-04, -3.7456e-04, 2.1443e-05, ..., 2.2680e-05, 1.0245e-07, -1.0290e-03], [ 5.0259e-04, 1.1623e-04, 2.0012e-05, ..., 3.0422e-04, 7.7626e-07, 2.8157e-04], [ 2.2963e-05, 2.6822e-05, 1.8314e-05, ..., -1.6198e-05, 1.9604e-07, 9.1434e-05]], device='cuda:0') Epoch 48, bias, value: tensor([-0.0236, -0.0193, -0.0291, 0.0041, 0.0003, 0.0309, 0.0141, -0.0239, 0.0154, -0.0036], device='cuda:0'), grad: tensor([ 1.4925e-04, 8.4066e-04, 3.5715e-04, 5.6744e-05, 5.9336e-05, -5.0879e-04, 2.1085e-05, -2.2564e-03, 1.0815e-03, 2.0051e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 47---------------------------------------------------- epoch 47, time 230.32, cls_loss 0.0105 cls_loss_mapping 0.0213 cls_loss_causal 0.6823 re_mapping 0.0146 re_causal 0.0434 /// teacc 98.77 lr 0.00010000 Epoch 49, weight, value: tensor([[-0.0072, -0.0073, -0.0051, ..., -0.0772, -0.0127, -0.0319], [ 0.0132, -0.0290, -0.0568, ..., -0.0016, -0.0124, -0.0668], [ 0.0364, -0.0515, -0.0211, ..., 0.0257, -0.0533, 0.0254], ..., [ 0.0141, -0.0287, -0.0449, ..., -0.0397, 0.0120, 0.0635], [ 0.0411, -0.0539, -0.0408, ..., -0.0288, -0.0114, -0.0126], [-0.0896, -0.0021, 0.0646, ..., 0.0412, -0.0196, -0.0381]], device='cuda:0'), grad: tensor([[ 8.8364e-06, 6.6161e-06, 1.3612e-05, ..., 1.9640e-05, 3.3528e-08, 1.8463e-05], [ 2.6181e-05, 3.2902e-05, 6.1952e-06, ..., 9.3877e-06, 2.6543e-08, 4.4554e-05], [-6.2168e-05, 2.9549e-05, 1.2130e-05, ..., -7.6652e-05, 2.9802e-08, -8.4341e-05], ..., [ 7.8678e-06, 1.2808e-05, 1.8090e-05, ..., 3.3170e-05, -6.5239e-07, 2.1368e-05], [-1.1337e-04, 2.5958e-05, -9.2924e-05, ..., -6.1929e-05, 2.7940e-08, -2.4736e-05], [ 9.5963e-05, -1.7002e-05, 3.4124e-05, ..., 1.3679e-05, 8.7544e-08, 5.5879e-05]], device='cuda:0') Epoch 49, bias, value: tensor([-0.0239, -0.0192, -0.0289, 0.0041, 0.0004, 0.0311, 0.0148, -0.0239, 0.0150, -0.0041], device='cuda:0'), grad: tensor([ 4.5329e-05, 8.3148e-05, -9.0480e-05, -8.1301e-04, 1.5903e-04, 7.0047e-04, -8.1599e-05, 7.3671e-05, -2.8253e-04, 2.0599e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 48---------------------------------------------------- epoch 48, time 230.15, cls_loss 0.0099 cls_loss_mapping 0.0186 cls_loss_causal 0.6774 re_mapping 0.0141 re_causal 0.0444 /// teacc 98.78 lr 0.00010000 Epoch 50, weight, value: tensor([[-0.0067, -0.0075, -0.0051, ..., -0.0778, -0.0125, -0.0325], [ 0.0128, -0.0295, -0.0574, ..., -0.0020, -0.0124, -0.0673], [ 0.0368, -0.0516, -0.0217, ..., 0.0259, -0.0535, 0.0261], ..., [ 0.0142, -0.0285, -0.0452, ..., -0.0401, 0.0118, 0.0640], [ 0.0411, -0.0545, -0.0414, ..., -0.0297, -0.0117, -0.0136], [-0.0896, -0.0019, 0.0651, ..., 0.0421, -0.0197, -0.0385]], device='cuda:0'), grad: tensor([[ 1.0139e-04, 3.1620e-05, 3.1829e-05, ..., 6.9141e-05, 7.4506e-09, 2.5198e-05], [ 1.5593e-04, 3.6091e-05, -1.6987e-05, ..., 2.4378e-05, 3.9581e-08, 2.7016e-05], [ 5.6624e-05, 1.0812e-04, 2.6971e-05, ..., 2.0072e-05, 2.4214e-08, 4.5538e-05], ..., [ 1.2493e-04, 1.0431e-04, 6.4731e-05, ..., 7.3075e-05, -2.3423e-07, 8.3864e-05], [ 3.6030e-03, 1.0341e-04, 1.4296e-03, ..., 2.5597e-03, 8.8476e-09, 2.8878e-05], [ 1.2362e-04, 2.6196e-05, -9.1791e-05, ..., -1.4257e-04, 9.6858e-08, 7.5400e-05]], device='cuda:0') Epoch 50, bias, value: tensor([-0.0235, -0.0196, -0.0286, 0.0039, 0.0005, 0.0309, 0.0149, -0.0235, 0.0146, -0.0040], device='cuda:0'), grad: tensor([ 0.0002, 0.0002, 0.0003, -0.0007, 0.0002, -0.0105, 0.0047, 0.0005, 0.0049, 0.0003], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 49---------------------------------------------------- epoch 49, time 229.22, cls_loss 0.0111 cls_loss_mapping 0.0212 cls_loss_causal 0.7217 re_mapping 0.0143 re_causal 0.0444 /// teacc 98.85 lr 0.00010000 Epoch 51, weight, value: tensor([[-0.0066, -0.0080, -0.0057, ..., -0.0789, -0.0126, -0.0336], [ 0.0127, -0.0295, -0.0574, ..., -0.0015, -0.0124, -0.0664], [ 0.0370, -0.0525, -0.0220, ..., 0.0258, -0.0544, 0.0261], ..., [ 0.0141, -0.0284, -0.0459, ..., -0.0413, 0.0122, 0.0647], [ 0.0409, -0.0551, -0.0420, ..., -0.0304, -0.0118, -0.0143], [-0.0903, -0.0013, 0.0659, ..., 0.0429, -0.0198, -0.0392]], device='cuda:0'), grad: tensor([[ 3.1054e-05, 3.5673e-05, 1.1586e-05, ..., 1.6108e-05, 0.0000e+00, 7.8440e-05], [ 5.5343e-05, 1.3399e-04, -1.4000e-05, ..., -1.6823e-05, 0.0000e+00, 2.4176e-04], [-1.4201e-05, 1.7107e-04, 2.3380e-05, ..., 3.7074e-05, 0.0000e+00, -6.0380e-05], ..., [-1.6868e-04, -2.0254e-04, 6.0707e-05, ..., 6.3479e-05, 0.0000e+00, -4.5609e-04], [ 1.9348e-04, 5.6601e-04, -2.9504e-05, ..., 9.0837e-05, 0.0000e+00, 1.2894e-03], [ 8.2552e-05, 9.9361e-05, 5.8442e-05, ..., 9.1314e-05, 0.0000e+00, 1.1617e-04]], device='cuda:0') Epoch 51, bias, value: tensor([-0.0236, -0.0189, -0.0290, 0.0038, 0.0005, 0.0309, 0.0153, -0.0234, 0.0140, -0.0037], device='cuda:0'), grad: tensor([ 0.0002, 0.0003, 0.0002, -0.0028, -0.0002, 0.0004, 0.0002, -0.0006, 0.0020, 0.0004], device='cuda:0') 100 0.0001 changing lr epoch 50, time 214.56, cls_loss 0.0101 cls_loss_mapping 0.0195 cls_loss_causal 0.6924 re_mapping 0.0143 re_causal 0.0439 /// teacc 98.79 lr 0.00010000 Epoch 52, weight, value: tensor([[-0.0060, -0.0083, -0.0063, ..., -0.0805, -0.0129, -0.0341], [ 0.0123, -0.0306, -0.0581, ..., -0.0023, -0.0122, -0.0672], [ 0.0370, -0.0533, -0.0226, ..., 0.0257, -0.0553, 0.0267], ..., [ 0.0138, -0.0286, -0.0466, ..., -0.0419, 0.0121, 0.0649], [ 0.0411, -0.0557, -0.0425, ..., -0.0310, -0.0122, -0.0150], [-0.0907, -0.0011, 0.0665, ..., 0.0434, -0.0203, -0.0397]], device='cuda:0'), grad: tensor([[ 4.7183e-04, 1.1927e-04, 4.1151e-04, ..., 2.6733e-05, 1.0006e-05, 1.3983e-04], [ 3.5954e-04, 4.5866e-05, 3.9291e-04, ..., -1.9634e-04, -2.3380e-05, 1.7881e-04], [ 4.0317e-04, 4.6110e-04, 4.5109e-04, ..., 3.8236e-05, 6.1810e-05, 9.7084e-04], ..., [-1.8001e-05, -1.2884e-03, 4.1366e-05, ..., 3.5912e-05, -2.0742e-04, -2.7199e-03], [-4.4614e-05, -2.0102e-05, 9.4235e-05, ..., 8.3268e-05, 4.1313e-06, 3.3826e-05], [ 6.9380e-05, 2.8586e-04, 2.1234e-05, ..., 9.7752e-05, 4.8637e-05, 5.8079e-04]], device='cuda:0') Epoch 52, bias, value: tensor([-0.0236, -0.0196, -0.0289, 0.0041, 0.0011, 0.0308, 0.0151, -0.0237, 0.0137, -0.0033], device='cuda:0'), grad: tensor([ 9.8324e-04, 9.8419e-04, 2.4910e-03, 7.7772e-04, 4.0579e-04, 6.2048e-05, -3.4218e-03, -3.3455e-03, 1.2481e-04, 9.3603e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 51---------------------------------------------------- epoch 51, time 230.52, cls_loss 0.0104 cls_loss_mapping 0.0165 cls_loss_causal 0.6852 re_mapping 0.0141 re_causal 0.0411 /// teacc 98.88 lr 0.00010000 Epoch 53, weight, value: tensor([[-0.0061, -0.0090, -0.0071, ..., -0.0816, -0.0132, -0.0348], [ 0.0120, -0.0310, -0.0581, ..., -0.0019, -0.0128, -0.0680], [ 0.0371, -0.0537, -0.0234, ..., 0.0258, -0.0566, 0.0273], ..., [ 0.0137, -0.0282, -0.0469, ..., -0.0429, 0.0132, 0.0658], [ 0.0417, -0.0564, -0.0432, ..., -0.0318, -0.0128, -0.0158], [-0.0915, -0.0010, 0.0671, ..., 0.0437, -0.0206, -0.0404]], device='cuda:0'), grad: tensor([[-3.6097e-04, -9.4414e-05, 3.7123e-06, ..., 3.0249e-06, 0.0000e+00, -1.6773e-04], [ 1.7211e-05, -7.1861e-06, -6.5506e-05, ..., -7.0572e-05, 0.0000e+00, 1.2927e-05], [ 9.2089e-05, 3.4630e-05, 1.2942e-05, ..., 1.0446e-05, 0.0000e+00, -1.3420e-06], ..., [ 4.2111e-05, 1.8358e-05, 3.6836e-05, ..., 3.6240e-05, 0.0000e+00, 2.8938e-05], [ 1.7434e-05, 9.8124e-06, 2.6122e-05, ..., 3.1233e-05, 0.0000e+00, 1.2510e-05], [ 7.1049e-05, 2.6608e-04, 6.1798e-04, ..., 4.4394e-04, 0.0000e+00, 3.6538e-05]], device='cuda:0') Epoch 53, bias, value: tensor([-0.0240, -0.0200, -0.0289, 0.0037, 0.0014, 0.0309, 0.0154, -0.0230, 0.0139, -0.0037], device='cuda:0'), grad: tensor([-5.9557e-04, -1.1724e-04, 1.4031e-04, 1.0079e-04, -6.2466e-04, 5.3495e-05, 6.6996e-05, 1.4436e-04, 7.0035e-05, 7.6103e-04], device='cuda:0') 100 0.0001 changing lr epoch 52, time 214.05, cls_loss 0.0112 cls_loss_mapping 0.0222 cls_loss_causal 0.6638 re_mapping 0.0136 re_causal 0.0424 /// teacc 98.76 lr 0.00010000 Epoch 54, weight, value: tensor([[-0.0062, -0.0090, -0.0079, ..., -0.0823, -0.0133, -0.0348], [ 0.0118, -0.0310, -0.0582, ..., -0.0018, -0.0121, -0.0677], [ 0.0371, -0.0542, -0.0238, ..., 0.0257, -0.0568, 0.0278], ..., [ 0.0136, -0.0281, -0.0475, ..., -0.0427, 0.0131, 0.0656], [ 0.0419, -0.0569, -0.0437, ..., -0.0327, -0.0131, -0.0158], [-0.0916, -0.0008, 0.0674, ..., 0.0438, -0.0210, -0.0408]], device='cuda:0'), grad: tensor([[-3.4958e-05, 2.3931e-05, 5.8040e-06, ..., 7.1935e-06, 3.0734e-08, 3.8713e-05], [ 3.2842e-05, 5.8502e-05, -4.9919e-05, ..., -6.9678e-05, -2.6897e-06, 1.3340e-04], [-6.5804e-05, -1.9386e-05, 1.4193e-05, ..., 1.5087e-05, 3.5018e-07, -1.9753e-04], ..., [ 1.2361e-05, -1.7309e-04, 2.1458e-05, ..., 2.0832e-05, 8.4564e-07, -2.2995e-04], [ 2.2620e-05, 3.7104e-05, 1.3322e-05, ..., 1.5974e-05, 2.2165e-07, 6.3181e-05], [ 1.9580e-05, 1.8775e-04, 8.1837e-05, ..., 1.6534e-04, 6.7428e-07, 1.3709e-04]], device='cuda:0') Epoch 54, bias, value: tensor([-0.0243, -0.0200, -0.0290, 0.0041, 0.0016, 0.0306, 0.0152, -0.0229, 0.0139, -0.0037], device='cuda:0'), grad: tensor([-1.0359e-04, 7.5758e-05, -1.4889e-04, 4.0025e-05, 1.6510e-05, -1.4293e-04, 2.4468e-05, -2.8229e-04, 1.1539e-04, 4.0531e-04], device='cuda:0') 100 0.0001 changing lr epoch 53, time 213.79, cls_loss 0.0089 cls_loss_mapping 0.0185 cls_loss_causal 0.6885 re_mapping 0.0144 re_causal 0.0439 /// teacc 98.77 lr 0.00010000 Epoch 55, weight, value: tensor([[-0.0060, -0.0087, -0.0079, ..., -0.0829, -0.0133, -0.0348], [ 0.0113, -0.0310, -0.0579, ..., -0.0014, -0.0116, -0.0682], [ 0.0374, -0.0545, -0.0242, ..., 0.0256, -0.0570, 0.0281], ..., [ 0.0138, -0.0278, -0.0480, ..., -0.0432, 0.0128, 0.0663], [ 0.0421, -0.0573, -0.0436, ..., -0.0327, -0.0131, -0.0163], [-0.0922, -0.0013, 0.0674, ..., 0.0437, -0.0211, -0.0420]], device='cuda:0'), grad: tensor([[-4.1723e-06, 2.6859e-06, 5.7854e-06, ..., 2.0303e-06, 0.0000e+00, 3.1888e-06], [-1.3553e-05, -7.6234e-05, -1.8930e-04, ..., -1.9479e-04, 0.0000e+00, -2.0429e-05], [ 2.8506e-05, 1.2122e-05, 2.3276e-05, ..., 1.1660e-05, 0.0000e+00, 3.3844e-06], ..., [ 1.7164e-06, 3.2604e-05, 5.8234e-05, ..., 6.1393e-05, 0.0000e+00, 8.0243e-06], [-2.9698e-05, 1.7107e-05, 1.7449e-05, ..., 1.6540e-05, 0.0000e+00, 1.1332e-05], [ 7.0520e-06, 1.3244e-04, -1.3880e-05, ..., 3.2991e-05, 0.0000e+00, 1.3971e-04]], device='cuda:0') Epoch 55, bias, value: tensor([-0.0239, -0.0199, -0.0290, 0.0045, 0.0018, 0.0302, 0.0154, -0.0227, 0.0141, -0.0045], device='cuda:0'), grad: tensor([ 1.3486e-06, -3.7694e-04, 7.8917e-05, -3.1948e-04, 4.8971e-04, 5.4896e-05, -3.1424e-04, 1.1718e-04, 1.1995e-05, 2.5558e-04], device='cuda:0') 100 0.0001 changing lr epoch 54, time 214.22, cls_loss 0.0094 cls_loss_mapping 0.0185 cls_loss_causal 0.6649 re_mapping 0.0130 re_causal 0.0411 /// teacc 98.80 lr 0.00010000 Epoch 56, weight, value: tensor([[-0.0055, -0.0095, -0.0080, ..., -0.0839, -0.0134, -0.0358], [ 0.0111, -0.0317, -0.0575, ..., -0.0017, -0.0111, -0.0690], [ 0.0376, -0.0544, -0.0248, ..., 0.0262, -0.0582, 0.0291], ..., [ 0.0136, -0.0282, -0.0498, ..., -0.0445, 0.0129, 0.0665], [ 0.0418, -0.0582, -0.0444, ..., -0.0337, -0.0135, -0.0173], [-0.0924, -0.0003, 0.0686, ..., 0.0451, -0.0213, -0.0419]], device='cuda:0'), grad: tensor([[ 6.8665e-04, 6.3610e-04, 7.7629e-04, ..., 6.0606e-04, 9.2201e-08, 7.7426e-05], [-4.7863e-05, 1.8090e-05, -9.1910e-05, ..., -5.5015e-05, -3.5316e-06, 4.2319e-06], [ 1.2887e-04, 5.5015e-05, 1.3006e-04, ..., 1.0967e-04, 5.1036e-07, 1.2234e-05], ..., [ 9.7156e-05, 6.5386e-05, 6.2704e-05, ..., 1.0538e-04, 8.9779e-07, 3.1237e-06], [ 8.7214e-04, 1.1740e-03, 1.4534e-03, ..., 9.0170e-04, 7.0734e-07, 1.4293e-04], [-2.4395e-03, -3.5496e-03, -4.8141e-03, ..., -2.4872e-03, 4.1770e-07, -4.6945e-04]], device='cuda:0') Epoch 56, bias, value: tensor([-0.0235, -0.0194, -0.0289, 0.0039, 0.0017, 0.0309, 0.0150, -0.0236, 0.0132, -0.0035], device='cuda:0'), grad: tensor([ 0.0016, -0.0005, 0.0004, 0.0015, 0.0003, 0.0014, -0.0006, 0.0002, 0.0024, -0.0068], device='cuda:0') 100 0.0001 changing lr epoch 55, time 214.27, cls_loss 0.0088 cls_loss_mapping 0.0170 cls_loss_causal 0.6533 re_mapping 0.0132 re_causal 0.0391 /// teacc 98.85 lr 0.00010000 Epoch 57, weight, value: tensor([[-0.0052, -0.0099, -0.0083, ..., -0.0846, -0.0135, -0.0367], [ 0.0113, -0.0318, -0.0569, ..., -0.0011, -0.0109, -0.0691], [ 0.0376, -0.0551, -0.0255, ..., 0.0259, -0.0592, 0.0296], ..., [ 0.0134, -0.0280, -0.0507, ..., -0.0448, 0.0136, 0.0669], [ 0.0422, -0.0588, -0.0444, ..., -0.0341, -0.0141, -0.0178], [-0.0929, 0.0003, 0.0694, ..., 0.0458, -0.0223, -0.0424]], device='cuda:0'), grad: tensor([[ 1.3970e-08, 7.5437e-06, 1.0312e-05, ..., 5.2303e-06, 3.0128e-07, 8.8140e-06], [-6.3367e-06, 1.5244e-05, -2.5630e-04, ..., -1.2386e-04, -1.5162e-05, 3.0965e-05], [-3.2306e-05, 1.1869e-05, 4.0561e-05, ..., 2.3380e-05, 1.6736e-06, -9.1434e-05], ..., [-3.0264e-05, -1.0794e-04, 6.5625e-05, ..., 4.4346e-05, 6.7055e-06, -5.4955e-05], [ 1.2077e-05, 2.1160e-05, 1.2195e-04, ..., 5.7250e-05, 1.4547e-06, 2.4080e-05], [ 3.0786e-05, 4.6968e-05, 3.2306e-05, ..., 1.3247e-05, 1.9111e-06, 5.1558e-05]], device='cuda:0') Epoch 57, bias, value: tensor([-0.0235, -0.0190, -0.0292, 0.0038, 0.0011, 0.0306, 0.0149, -0.0232, 0.0133, -0.0033], device='cuda:0'), grad: tensor([ 3.1501e-05, -5.8126e-04, 1.7751e-06, -1.7154e-04, 8.6576e-06, 2.5678e-04, 5.7548e-05, -1.6963e-04, 3.2401e-04, 2.4199e-04], device='cuda:0') 100 0.0001 changing lr epoch 56, time 214.01, cls_loss 0.0100 cls_loss_mapping 0.0169 cls_loss_causal 0.6736 re_mapping 0.0134 re_causal 0.0392 /// teacc 98.78 lr 0.00010000 Epoch 58, weight, value: tensor([[-0.0055, -0.0102, -0.0085, ..., -0.0853, -0.0137, -0.0372], [ 0.0112, -0.0322, -0.0569, ..., -0.0013, -0.0106, -0.0692], [ 0.0375, -0.0556, -0.0260, ..., 0.0258, -0.0599, 0.0302], ..., [ 0.0137, -0.0279, -0.0515, ..., -0.0456, 0.0137, 0.0674], [ 0.0422, -0.0597, -0.0450, ..., -0.0351, -0.0144, -0.0182], [-0.0934, 0.0005, 0.0697, ..., 0.0462, -0.0225, -0.0431]], device='cuda:0'), grad: tensor([[ 1.6522e-04, 6.2659e-06, 1.5497e-04, ..., 8.9258e-06, 4.1910e-09, 7.5176e-06], [ 2.7582e-05, 8.2776e-06, 2.3216e-05, ..., -6.9737e-06, -2.9197e-07, 9.7752e-06], [ 6.7520e-04, 1.8328e-05, 6.3038e-04, ..., 3.5435e-05, 5.3085e-08, 5.7787e-05], ..., [ 1.2346e-05, -1.4976e-05, 2.6837e-05, ..., 8.0317e-06, 1.1129e-07, -6.0380e-05], [ 1.4973e-04, 1.4812e-05, 1.6701e-04, ..., 1.4886e-05, 3.5390e-08, 1.3411e-05], [ 6.6757e-05, -3.7163e-05, -2.0117e-05, ..., -1.3387e-04, 2.3749e-08, 1.9386e-05]], device='cuda:0') Epoch 58, bias, value: tensor([-0.0234, -0.0190, -0.0291, 0.0039, 0.0017, 0.0308, 0.0146, -0.0234, 0.0129, -0.0033], device='cuda:0'), grad: tensor([ 3.4475e-04, 4.3452e-05, 1.4648e-03, -1.4555e-04, 9.8705e-05, 7.5388e-04, -2.9812e-03, -3.7476e-06, 3.8242e-04, 4.3571e-05], device='cuda:0') 100 0.0001 changing lr epoch 57, time 213.99, cls_loss 0.0069 cls_loss_mapping 0.0158 cls_loss_causal 0.6528 re_mapping 0.0128 re_causal 0.0393 /// teacc 98.73 lr 0.00010000 Epoch 59, weight, value: tensor([[-0.0055, -0.0106, -0.0089, ..., -0.0859, -0.0144, -0.0379], [ 0.0103, -0.0323, -0.0563, ..., -0.0002, -0.0077, -0.0698], [ 0.0381, -0.0566, -0.0267, ..., 0.0252, -0.0630, 0.0306], ..., [ 0.0138, -0.0275, -0.0519, ..., -0.0461, 0.0138, 0.0679], [ 0.0426, -0.0600, -0.0450, ..., -0.0353, -0.0154, -0.0187], [-0.0943, 0.0005, 0.0700, ..., 0.0465, -0.0236, -0.0436]], device='cuda:0'), grad: tensor([[-8.6725e-06, 2.8014e-06, 1.5900e-05, ..., 1.1146e-05, 2.1886e-08, 1.2321e-06], [ 2.2352e-05, 9.1642e-06, 1.7196e-05, ..., 7.3723e-06, -1.8477e-06, 2.0862e-05], [ 7.0706e-06, 3.6150e-05, 3.0726e-05, ..., 2.4408e-05, 4.5449e-07, -1.0312e-05], ..., [ 1.7285e-05, 2.9206e-05, 3.8505e-05, ..., 3.8087e-05, 8.4331e-07, 3.4004e-05], [-3.8338e-04, 2.0921e-05, -6.4707e-04, ..., -3.6836e-04, 1.2433e-07, -2.6894e-04], [ 3.5453e-04, -2.9042e-05, 4.5109e-04, ..., 2.6512e-04, 1.0198e-07, 2.3437e-04]], device='cuda:0') Epoch 59, bias, value: tensor([-0.0237, -0.0191, -0.0288, 0.0036, 0.0016, 0.0309, 0.0150, -0.0233, 0.0132, -0.0037], device='cuda:0'), grad: tensor([-2.1949e-05, 5.8293e-05, 9.8288e-05, 1.0568e-04, -9.5546e-05, 6.6102e-05, -1.4138e-04, 1.2767e-04, -1.2016e-03, 1.0023e-03], device='cuda:0') 100 0.0001 changing lr epoch 58, time 213.96, cls_loss 0.0077 cls_loss_mapping 0.0130 cls_loss_causal 0.6669 re_mapping 0.0123 re_causal 0.0387 /// teacc 98.77 lr 0.00010000 Epoch 60, weight, value: tensor([[-0.0054, -0.0109, -0.0094, ..., -0.0866, -0.0148, -0.0385], [ 0.0099, -0.0326, -0.0569, ..., -0.0005, -0.0073, -0.0704], [ 0.0385, -0.0570, -0.0272, ..., 0.0250, -0.0643, 0.0318], ..., [ 0.0127, -0.0276, -0.0523, ..., -0.0466, 0.0139, 0.0671], [ 0.0427, -0.0604, -0.0453, ..., -0.0360, -0.0156, -0.0190], [-0.0948, 0.0008, 0.0705, ..., 0.0469, -0.0237, -0.0439]], device='cuda:0'), grad: tensor([[ 1.0088e-05, 1.0440e-06, 2.0042e-05, ..., 2.5686e-06, 6.9849e-08, 5.2452e-06], [ 9.0897e-06, 2.8741e-06, -2.9281e-05, ..., -3.1859e-05, -3.9041e-06, -1.3247e-03], [ 1.4745e-05, 7.7859e-06, 1.6019e-05, ..., 1.0453e-05, 2.6589e-07, 1.1139e-03], ..., [-3.0190e-05, -7.0818e-06, 1.8314e-05, ..., 1.5005e-05, 2.1588e-06, 9.5129e-05], [ 4.7207e-04, 1.0431e-05, 5.0163e-04, ..., 4.0710e-05, 3.1851e-07, 1.7047e-05], [ 8.8066e-06, -2.0549e-05, -6.4850e-05, ..., -4.9531e-05, 4.2189e-07, 3.3155e-06]], device='cuda:0') Epoch 60, bias, value: tensor([-0.0239, -0.0196, -0.0284, 0.0035, 0.0018, 0.0317, 0.0151, -0.0239, 0.0132, -0.0036], device='cuda:0'), grad: tensor([ 3.4899e-05, -2.4948e-03, 2.0733e-03, 9.6917e-05, 9.7632e-05, 1.2827e-04, -1.0805e-03, 1.9670e-04, 9.8324e-04, -3.6865e-05], device='cuda:0') 100 0.0001 changing lr epoch 59, time 214.11, cls_loss 0.0070 cls_loss_mapping 0.0160 cls_loss_causal 0.6448 re_mapping 0.0131 re_causal 0.0390 /// teacc 98.75 lr 0.00010000 Epoch 61, weight, value: tensor([[-0.0049, -0.0110, -0.0091, ..., -0.0873, -0.0149, -0.0382], [ 0.0097, -0.0328, -0.0571, ..., -0.0003, -0.0071, -0.0702], [ 0.0385, -0.0577, -0.0277, ..., 0.0250, -0.0646, 0.0315], ..., [ 0.0132, -0.0278, -0.0530, ..., -0.0474, 0.0138, 0.0678], [ 0.0425, -0.0605, -0.0461, ..., -0.0366, -0.0158, -0.0193], [-0.0953, 0.0012, 0.0715, ..., 0.0478, -0.0239, -0.0450]], device='cuda:0'), grad: tensor([[-2.0042e-05, 2.3600e-06, 1.8822e-06, ..., 6.5975e-06, 1.0710e-08, 3.2149e-06], [ 3.7141e-06, 9.5367e-06, -2.4289e-06, ..., 1.5832e-08, 2.7427e-07, 1.5676e-05], [ 6.4969e-06, 4.9919e-06, 7.8082e-06, ..., 5.3421e-06, 4.0978e-08, -2.5988e-05], ..., [ 8.3894e-06, -6.7472e-05, 7.7188e-06, ..., -5.7518e-06, -1.2629e-06, -5.8711e-05], [-1.0140e-05, 8.7693e-06, 5.9977e-06, ..., 1.1988e-05, 1.5367e-08, 1.0252e-05], [ 1.4327e-05, 3.3438e-05, -5.2691e-05, ..., -4.1187e-05, 1.5134e-07, 4.2170e-05]], device='cuda:0') Epoch 61, bias, value: tensor([-0.0229, -0.0193, -0.0289, 0.0038, 0.0011, 0.0315, 0.0149, -0.0239, 0.0126, -0.0031], device='cuda:0'), grad: tensor([-2.8580e-05, 1.6749e-05, 4.0829e-06, 1.4579e-04, 7.6517e-06, -1.6081e-04, 1.2457e-05, -9.5606e-05, 9.8497e-06, 8.8394e-05], device='cuda:0') 100 0.0001 changing lr epoch 60, time 213.95, cls_loss 0.0087 cls_loss_mapping 0.0138 cls_loss_causal 0.6371 re_mapping 0.0126 re_causal 0.0359 /// teacc 98.68 lr 0.00010000 Epoch 62, weight, value: tensor([[-0.0054, -0.0113, -0.0102, ..., -0.0879, -0.0150, -0.0390], [ 0.0092, -0.0331, -0.0570, ..., 0.0003, -0.0066, -0.0706], [ 0.0384, -0.0582, -0.0280, ..., 0.0249, -0.0649, 0.0317], ..., [ 0.0133, -0.0281, -0.0535, ..., -0.0480, 0.0138, 0.0680], [ 0.0430, -0.0608, -0.0463, ..., -0.0370, -0.0159, -0.0199], [-0.0948, 0.0012, 0.0722, ..., 0.0479, -0.0242, -0.0458]], device='cuda:0'), grad: tensor([[ 8.1420e-05, 3.4925e-06, 5.0426e-05, ..., 1.2606e-05, 3.3528e-08, 4.8566e-04], [ 8.6308e-05, 1.0118e-05, 2.2858e-05, ..., 2.9400e-05, -5.1782e-07, 2.3329e-04], [-7.6723e-04, 3.7104e-06, 1.6168e-05, ..., 5.1558e-06, 5.6345e-08, -2.2717e-03], ..., [ 4.1199e-04, 2.1964e-05, 4.0293e-05, ..., 6.5804e-05, 1.7090e-07, 1.0633e-03], [-1.9088e-05, 3.7581e-05, -3.7942e-06, ..., 9.1553e-05, 9.7789e-08, 2.0981e-04], [ 9.9301e-05, -1.0324e-04, -1.2541e-04, ..., -2.3162e-04, 8.1956e-08, 7.0930e-05]], device='cuda:0') Epoch 62, bias, value: tensor([-0.0235, -0.0193, -0.0293, 0.0044, 0.0013, 0.0314, 0.0151, -0.0241, 0.0127, -0.0029], device='cuda:0'), grad: tensor([ 6.2990e-04, 3.8171e-04, -3.4828e-03, 2.6965e-04, -8.8513e-06, 4.0054e-04, -2.7680e-04, 1.8320e-03, 2.8419e-04, -2.9355e-05], device='cuda:0') 100 0.0001 changing lr epoch 61, time 214.05, cls_loss 0.0076 cls_loss_mapping 0.0142 cls_loss_causal 0.6571 re_mapping 0.0123 re_causal 0.0371 /// teacc 98.80 lr 0.00010000 Epoch 63, weight, value: tensor([[-0.0051, -0.0115, -0.0105, ..., -0.0886, -0.0154, -0.0397], [ 0.0090, -0.0336, -0.0569, ..., 0.0005, -0.0062, -0.0703], [ 0.0387, -0.0583, -0.0285, ..., 0.0247, -0.0662, 0.0324], ..., [ 0.0130, -0.0280, -0.0545, ..., -0.0493, 0.0136, 0.0682], [ 0.0435, -0.0611, -0.0466, ..., -0.0374, -0.0161, -0.0205], [-0.0955, 0.0015, 0.0728, ..., 0.0488, -0.0243, -0.0462]], device='cuda:0'), grad: tensor([[-6.0588e-05, 7.3463e-06, 2.8417e-05, ..., 2.1160e-06, 4.1910e-08, -3.2604e-05], [ 4.9680e-05, 7.4096e-06, 5.4911e-06, ..., -3.9078e-06, -6.5565e-07, 3.1680e-05], [ 1.0848e-04, 3.5763e-05, 1.0699e-04, ..., 1.5542e-05, 1.7742e-07, 8.9586e-05], ..., [-1.4687e-04, -9.1672e-05, 2.9176e-05, ..., 1.7837e-05, -4.0233e-07, -3.7551e-04], [-3.8087e-05, 1.2711e-05, 4.9382e-05, ..., 7.0594e-06, 8.8476e-08, 7.8857e-05], [ 4.3422e-05, -4.2729e-06, -2.3231e-05, ..., -7.7903e-05, 2.3935e-07, 8.5652e-05]], device='cuda:0') Epoch 63, bias, value: tensor([-0.0234, -0.0192, -0.0293, 0.0041, 0.0016, 0.0313, 0.0148, -0.0244, 0.0133, -0.0029], device='cuda:0'), grad: tensor([-4.2176e-04, 1.1176e-04, 4.4298e-04, 2.7370e-04, -2.2435e-04, 5.6356e-05, 4.3511e-05, -5.5742e-04, 4.8667e-05, 2.2626e-04], device='cuda:0') 100 0.0001 changing lr epoch 62, time 214.17, cls_loss 0.0078 cls_loss_mapping 0.0149 cls_loss_causal 0.6220 re_mapping 0.0129 re_causal 0.0379 /// teacc 98.86 lr 0.00010000 Epoch 64, weight, value: tensor([[-0.0048, -0.0116, -0.0104, ..., -0.0891, -0.0156, -0.0400], [ 0.0086, -0.0337, -0.0564, ..., 0.0013, -0.0054, -0.0703], [ 0.0391, -0.0584, -0.0289, ..., 0.0246, -0.0669, 0.0327], ..., [ 0.0128, -0.0279, -0.0554, ..., -0.0505, 0.0130, 0.0689], [ 0.0442, -0.0615, -0.0468, ..., -0.0373, -0.0163, -0.0211], [-0.0962, 0.0016, 0.0729, ..., 0.0490, -0.0246, -0.0471]], device='cuda:0'), grad: tensor([[-1.7214e-04, 3.5837e-06, -5.1968e-06, ..., 3.7998e-06, 0.0000e+00, 9.5367e-06], [ 1.2957e-05, 1.8999e-05, 8.4750e-08, ..., 1.0848e-05, 0.0000e+00, 2.7433e-05], [-6.6161e-06, 1.0617e-05, 3.6918e-06, ..., 8.0466e-06, 0.0000e+00, -5.4479e-05], ..., [ 9.0227e-06, 1.4283e-05, 3.9302e-06, ..., 2.2367e-05, 0.0000e+00, 2.4721e-05], [ 6.0409e-05, 3.6359e-05, 2.4617e-05, ..., 3.8385e-05, 0.0000e+00, 4.8965e-05], [ 5.8651e-05, 9.7975e-06, -2.8417e-05, ..., -1.0416e-05, 0.0000e+00, 3.7491e-05]], device='cuda:0') Epoch 64, bias, value: tensor([-0.0230, -0.0189, -0.0297, 0.0031, 0.0018, 0.0322, 0.0141, -0.0241, 0.0135, -0.0034], device='cuda:0'), grad: tensor([-3.9101e-04, 5.9545e-05, -2.2456e-05, -1.8339e-03, 2.7329e-05, 1.8711e-03, -1.6928e-04, 7.2539e-05, 2.2662e-04, 1.5986e-04], device='cuda:0') 100 0.0001 changing lr epoch 63, time 213.72, cls_loss 0.0082 cls_loss_mapping 0.0155 cls_loss_causal 0.6341 re_mapping 0.0123 re_causal 0.0364 /// teacc 98.84 lr 0.00010000 Epoch 65, weight, value: tensor([[-0.0045, -0.0120, -0.0108, ..., -0.0900, -0.0156, -0.0408], [ 0.0085, -0.0345, -0.0560, ..., 0.0018, -0.0053, -0.0713], [ 0.0394, -0.0590, -0.0293, ..., 0.0246, -0.0670, 0.0337], ..., [ 0.0126, -0.0274, -0.0558, ..., -0.0508, 0.0130, 0.0692], [ 0.0442, -0.0620, -0.0477, ..., -0.0385, -0.0163, -0.0218], [-0.0969, 0.0014, 0.0732, ..., 0.0492, -0.0246, -0.0479]], device='cuda:0'), grad: tensor([[-1.1876e-05, 1.8835e-05, 1.8343e-05, ..., 1.5557e-05, 0.0000e+00, 2.6494e-05], [ 1.7695e-06, 1.9163e-05, -5.5544e-06, ..., -2.5004e-05, 0.0000e+00, 2.2143e-05], [-2.2233e-05, 2.5824e-05, 3.8266e-05, ..., 4.2856e-05, 0.0000e+00, -1.3709e-04], ..., [ 2.2072e-06, -2.4829e-06, 5.4479e-05, ..., 5.4955e-05, 0.0000e+00, -2.5406e-05], [-6.5006e-06, 7.4625e-05, 1.1396e-04, ..., 1.4377e-04, 0.0000e+00, 6.4969e-05], [ 1.2457e-05, 7.5436e-04, 1.3914e-03, ..., 1.4553e-03, 0.0000e+00, 6.2346e-05]], device='cuda:0') Epoch 65, bias, value: tensor([-0.0229, -0.0192, -0.0292, 0.0037, 0.0017, 0.0323, 0.0145, -0.0238, 0.0126, -0.0038], device='cuda:0'), grad: tensor([ 3.8445e-05, -1.3456e-05, -5.4359e-05, -1.0222e-04, -3.1624e-03, 6.8724e-05, 2.7388e-05, 9.2924e-05, 2.8682e-04, 2.8191e-03], device='cuda:0') 100 0.0001 changing lr epoch 64, time 213.98, cls_loss 0.0070 cls_loss_mapping 0.0123 cls_loss_causal 0.6522 re_mapping 0.0121 re_causal 0.0359 /// teacc 98.78 lr 0.00010000 Epoch 66, weight, value: tensor([[-0.0040, -0.0120, -0.0105, ..., -0.0903, -0.0157, -0.0414], [ 0.0080, -0.0349, -0.0558, ..., 0.0022, -0.0053, -0.0716], [ 0.0396, -0.0597, -0.0299, ..., 0.0245, -0.0670, 0.0339], ..., [ 0.0123, -0.0279, -0.0564, ..., -0.0514, 0.0130, 0.0694], [ 0.0445, -0.0626, -0.0483, ..., -0.0394, -0.0164, -0.0219], [-0.0974, 0.0023, 0.0736, ..., 0.0497, -0.0246, -0.0476]], device='cuda:0'), grad: tensor([[-1.2023e-06, 1.0254e-06, 6.8657e-06, ..., 4.3586e-06, 3.0245e-07, 1.9856e-06], [ 7.0445e-06, -1.4473e-06, -5.8442e-05, ..., -9.5189e-05, -8.3745e-06, 1.9027e-06], [-2.3711e-06, -7.2876e-08, 7.2680e-06, ..., -4.9965e-07, 2.6217e-07, -2.7150e-05], ..., [-2.2613e-06, -4.0047e-06, 3.3021e-05, ..., 4.5925e-05, 4.6678e-06, -9.7975e-06], [-2.5794e-05, 1.6168e-06, -1.0319e-05, ..., 1.1384e-05, 7.2131e-07, 3.5800e-06], [ 1.2897e-05, -3.3416e-06, -2.6729e-06, ..., -3.9637e-06, 1.1139e-06, 3.8967e-06]], device='cuda:0') Epoch 66, bias, value: tensor([-0.0220, -0.0191, -0.0295, 0.0034, 0.0014, 0.0320, 0.0149, -0.0244, 0.0128, -0.0035], device='cuda:0'), grad: tensor([ 4.7795e-06, -1.4114e-04, -1.9461e-05, 5.9485e-05, 3.9190e-05, 5.5671e-05, -4.9204e-05, 6.2883e-05, -4.8578e-05, 3.6240e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 65---------------------------------------------------- epoch 65, time 231.41, cls_loss 0.0065 cls_loss_mapping 0.0140 cls_loss_causal 0.6513 re_mapping 0.0122 re_causal 0.0371 /// teacc 98.91 lr 0.00010000 Epoch 67, weight, value: tensor([[-0.0042, -0.0125, -0.0107, ..., -0.0915, -0.0158, -0.0424], [ 0.0078, -0.0343, -0.0552, ..., 0.0032, -0.0053, -0.0717], [ 0.0393, -0.0612, -0.0310, ..., 0.0233, -0.0672, 0.0339], ..., [ 0.0123, -0.0273, -0.0573, ..., -0.0524, 0.0131, 0.0702], [ 0.0441, -0.0631, -0.0486, ..., -0.0407, -0.0164, -0.0221], [-0.0977, 0.0021, 0.0741, ..., 0.0503, -0.0248, -0.0486]], device='cuda:0'), grad: tensor([[-1.1188e-04, -1.6049e-05, -8.2731e-05, ..., 1.9640e-05, 1.3015e-07, 1.3575e-05], [ 1.1891e-05, 1.3150e-05, 1.1427e-06, ..., 1.4738e-07, 1.1688e-07, 3.8475e-05], [-7.5459e-05, -6.4969e-05, 5.2638e-06, ..., -5.1767e-05, 3.8883e-08, -3.9816e-04], ..., [-1.2212e-05, -5.4598e-05, 1.1414e-05, ..., 1.6645e-05, -2.3190e-06, 7.2159e-06], [ 2.7329e-05, 6.7294e-05, 8.2254e-05, ..., 7.4685e-05, 4.1188e-07, 1.1516e-04], [ 8.5652e-05, -2.8586e-04, -5.4598e-04, ..., -4.9782e-04, 9.2899e-07, 2.7135e-05]], device='cuda:0') Epoch 67, bias, value: tensor([-0.0224, -0.0188, -0.0301, 0.0037, 0.0018, 0.0326, 0.0147, -0.0243, 0.0123, -0.0036], device='cuda:0'), grad: tensor([-2.8467e-04, 6.2525e-05, -6.1798e-04, 3.1066e-04, 5.4932e-04, 7.2837e-05, 6.6876e-05, -8.7023e-05, 2.7919e-04, -3.5143e-04], device='cuda:0') 100 0.0001 changing lr epoch 66, time 214.04, cls_loss 0.0064 cls_loss_mapping 0.0132 cls_loss_causal 0.6351 re_mapping 0.0120 re_causal 0.0347 /// teacc 98.82 lr 0.00010000 Epoch 68, weight, value: tensor([[-0.0044, -0.0127, -0.0112, ..., -0.0917, -0.0163, -0.0429], [ 0.0077, -0.0346, -0.0553, ..., 0.0034, -0.0052, -0.0721], [ 0.0391, -0.0621, -0.0312, ..., 0.0229, -0.0673, 0.0346], ..., [ 0.0127, -0.0267, -0.0573, ..., -0.0524, 0.0130, 0.0707], [ 0.0442, -0.0637, -0.0487, ..., -0.0410, -0.0168, -0.0232], [-0.0977, 0.0020, 0.0745, ..., 0.0505, -0.0250, -0.0492]], device='cuda:0'), grad: tensor([[ 3.9558e-07, 7.7188e-06, 5.9754e-06, ..., 1.9986e-06, 0.0000e+00, 8.6501e-06], [ 1.4350e-05, 6.8694e-06, 1.6376e-05, ..., -3.1907e-06, 0.0000e+00, 7.7188e-06], [ 2.5347e-05, 1.1422e-05, 1.6376e-05, ..., 2.6841e-06, 0.0000e+00, 1.0036e-05], ..., [ 1.2759e-06, 1.5888e-06, 3.9227e-06, ..., 4.8503e-06, 0.0000e+00, 4.3735e-06], [-3.1710e-05, 5.2750e-06, 6.0312e-06, ..., 1.1042e-05, 0.0000e+00, 6.7912e-06], [ 7.6294e-06, 7.2010e-06, 8.1025e-07, ..., 6.3069e-06, 0.0000e+00, 8.0466e-06]], device='cuda:0') Epoch 68, bias, value: tensor([-0.0229, -0.0188, -0.0299, 0.0038, 0.0015, 0.0325, 0.0151, -0.0238, 0.0121, -0.0035], device='cuda:0'), grad: tensor([-5.7146e-06, 2.6837e-05, 8.4043e-05, -4.6670e-05, 9.9987e-06, -5.1260e-05, -3.1561e-05, 2.2352e-05, -4.1425e-05, 3.3289e-05], device='cuda:0') 100 0.0001 changing lr epoch 67, time 214.11, cls_loss 0.0080 cls_loss_mapping 0.0164 cls_loss_causal 0.6825 re_mapping 0.0116 re_causal 0.0348 /// teacc 98.69 lr 0.00010000 Epoch 69, weight, value: tensor([[-0.0040, -0.0131, -0.0115, ..., -0.0925, -0.0164, -0.0435], [ 0.0075, -0.0354, -0.0547, ..., 0.0038, -0.0052, -0.0724], [ 0.0392, -0.0626, -0.0317, ..., 0.0228, -0.0673, 0.0348], ..., [ 0.0128, -0.0263, -0.0582, ..., -0.0531, 0.0130, 0.0712], [ 0.0443, -0.0642, -0.0489, ..., -0.0418, -0.0168, -0.0238], [-0.0983, 0.0022, 0.0752, ..., 0.0513, -0.0250, -0.0496]], device='cuda:0'), grad: tensor([[-2.8402e-05, 3.0369e-05, 1.8403e-05, ..., 1.9431e-05, 0.0000e+00, 4.5657e-05], [ 2.5593e-06, 2.1353e-05, -1.2942e-05, ..., -1.3188e-05, 0.0000e+00, 3.1143e-05], [ 1.0051e-05, 2.3648e-05, 1.2547e-05, ..., 1.4827e-05, 0.0000e+00, 3.2037e-06], ..., [-8.8587e-06, 2.6096e-06, 1.0669e-05, ..., 1.2480e-05, 0.0000e+00, 1.0751e-05], [-3.1054e-05, 2.4116e-04, 6.3777e-05, ..., 5.3078e-05, 0.0000e+00, 3.4118e-04], [ 1.1437e-05, 1.3329e-05, -3.8505e-05, ..., -3.5495e-05, 0.0000e+00, 3.1501e-05]], device='cuda:0') Epoch 69, bias, value: tensor([-0.0226, -0.0187, -0.0300, 0.0031, 0.0013, 0.0331, 0.0148, -0.0236, 0.0119, -0.0034], device='cuda:0'), grad: tensor([ 2.7493e-05, 4.2439e-05, 1.0890e-04, -1.5688e-03, 2.1502e-05, 3.8338e-04, 5.5760e-05, 3.8534e-05, 8.1301e-04, 7.8797e-05], device='cuda:0') 100 0.0001 changing lr epoch 68, time 213.97, cls_loss 0.0072 cls_loss_mapping 0.0149 cls_loss_causal 0.6004 re_mapping 0.0119 re_causal 0.0338 /// teacc 98.69 lr 0.00010000 Epoch 70, weight, value: tensor([[-0.0034, -0.0133, -0.0118, ..., -0.0932, -0.0164, -0.0440], [ 0.0072, -0.0361, -0.0540, ..., 0.0044, -0.0051, -0.0730], [ 0.0397, -0.0631, -0.0321, ..., 0.0227, -0.0674, 0.0355], ..., [ 0.0118, -0.0253, -0.0590, ..., -0.0536, 0.0132, 0.0716], [ 0.0453, -0.0647, -0.0493, ..., -0.0418, -0.0168, -0.0240], [-0.0988, 0.0021, 0.0757, ..., 0.0519, -0.0254, -0.0504]], device='cuda:0'), grad: tensor([[-5.1856e-05, 3.1143e-06, 1.2837e-05, ..., 6.1207e-06, 0.0000e+00, -5.5181e-08], [ 3.2540e-06, 9.8720e-06, -3.4153e-05, ..., 4.9546e-06, 0.0000e+00, -5.9217e-05], [ 9.6038e-06, 4.7013e-06, 4.0025e-05, ..., 3.7476e-06, 0.0000e+00, 5.9634e-05], ..., [ 2.8890e-06, 5.6103e-06, 3.3855e-05, ..., 3.6240e-05, 0.0000e+00, -7.4431e-06], [-2.7433e-05, 2.1547e-05, 1.5823e-06, ..., 3.0503e-05, 0.0000e+00, 7.2382e-06], [ 3.0965e-05, -2.4557e-05, -6.4969e-05, ..., -9.0003e-05, 0.0000e+00, 1.3895e-05]], device='cuda:0') Epoch 70, bias, value: tensor([-0.0220, -0.0190, -0.0297, 0.0041, 0.0010, 0.0316, 0.0144, -0.0239, 0.0131, -0.0036], device='cuda:0'), grad: tensor([-1.4234e-04, -2.6703e-04, 2.8992e-04, -7.4133e-06, 3.3468e-05, -1.0872e-04, 1.5759e-04, 5.3644e-05, 1.9163e-05, -2.8953e-05], device='cuda:0') 100 0.0001 changing lr epoch 69, time 214.16, cls_loss 0.0073 cls_loss_mapping 0.0139 cls_loss_causal 0.6482 re_mapping 0.0118 re_causal 0.0336 /// teacc 98.75 lr 0.00010000 Epoch 71, weight, value: tensor([[-0.0036, -0.0140, -0.0126, ..., -0.0946, -0.0165, -0.0449], [ 0.0070, -0.0352, -0.0528, ..., 0.0059, -0.0053, -0.0732], [ 0.0398, -0.0637, -0.0327, ..., 0.0231, -0.0675, 0.0359], ..., [ 0.0118, -0.0252, -0.0599, ..., -0.0545, 0.0136, 0.0720], [ 0.0456, -0.0657, -0.0495, ..., -0.0438, -0.0169, -0.0247], [-0.0995, 0.0019, 0.0759, ..., 0.0520, -0.0255, -0.0512]], device='cuda:0'), grad: tensor([[ 1.0449e-06, 1.1716e-06, 1.1191e-05, ..., 9.5591e-06, 0.0000e+00, 1.7583e-06], [ 6.0871e-06, 5.5842e-06, -3.7938e-05, ..., -9.7871e-05, 0.0000e+00, 5.6922e-06], [ 4.9062e-06, 7.9572e-06, 2.7105e-05, ..., 3.6031e-05, 0.0000e+00, 1.9521e-05], ..., [-1.6075e-06, 6.8955e-06, 3.5971e-05, ..., 5.5373e-05, 0.0000e+00, -2.4706e-05], [-2.9325e-04, 5.0738e-06, -1.6764e-05, ..., -1.0121e-04, 0.0000e+00, 6.2361e-06], [ 6.5044e-06, 2.1443e-05, 6.0469e-05, ..., 5.8770e-05, 0.0000e+00, 1.4633e-05]], device='cuda:0') Epoch 71, bias, value: tensor([-0.0226, -0.0186, -0.0296, 0.0037, 0.0010, 0.0326, 0.0141, -0.0235, 0.0128, -0.0043], device='cuda:0'), grad: tensor([ 1.3739e-05, -1.5450e-04, 9.9301e-05, -2.6762e-05, -1.7345e-04, 5.8937e-04, -1.8060e-04, 6.9439e-05, -3.7265e-04, 1.3602e-04], device='cuda:0') 100 0.0001 changing lr epoch 70, time 214.11, cls_loss 0.0071 cls_loss_mapping 0.0138 cls_loss_causal 0.6422 re_mapping 0.0113 re_causal 0.0346 /// teacc 98.80 lr 0.00010000 Epoch 72, weight, value: tensor([[-0.0038, -0.0142, -0.0133, ..., -0.0954, -0.0166, -0.0453], [ 0.0065, -0.0351, -0.0535, ..., 0.0058, -0.0053, -0.0741], [ 0.0398, -0.0641, -0.0331, ..., 0.0229, -0.0677, 0.0355], ..., [ 0.0115, -0.0246, -0.0604, ..., -0.0550, 0.0136, 0.0735], [ 0.0460, -0.0662, -0.0498, ..., -0.0443, -0.0170, -0.0252], [-0.0995, 0.0020, 0.0773, ..., 0.0532, -0.0255, -0.0519]], device='cuda:0'), grad: tensor([[ 1.5140e-05, 1.2573e-06, 1.3769e-05, ..., 2.2277e-06, 0.0000e+00, 3.5726e-06], [ 1.9521e-06, 7.2410e-07, 2.6170e-06, ..., 1.4352e-06, 0.0000e+00, 1.5954e-06], [-4.5262e-06, 1.1446e-06, 3.7402e-06, ..., -1.1645e-05, 0.0000e+00, -2.5123e-05], ..., [-1.8310e-06, -2.6450e-06, 1.9111e-06, ..., 2.8349e-06, 0.0000e+00, -4.2915e-06], [-1.2182e-05, 1.5358e-06, 5.4874e-06, ..., 6.0014e-06, 0.0000e+00, -3.5693e-07], [ 3.5074e-06, -2.5611e-06, 1.5497e-06, ..., 1.5153e-06, 0.0000e+00, 1.6270e-06]], device='cuda:0') Epoch 72, bias, value: tensor([-0.0234, -0.0189, -0.0305, 0.0035, 0.0006, 0.0326, 0.0142, -0.0226, 0.0128, -0.0034], device='cuda:0'), grad: tensor([ 3.4243e-05, 4.3139e-06, -3.7909e-05, 2.4721e-05, 3.5018e-05, -3.6545e-06, -4.7922e-05, -2.3022e-06, -1.6853e-05, 1.0319e-05], device='cuda:0') 100 0.0001 changing lr epoch 71, time 213.85, cls_loss 0.0074 cls_loss_mapping 0.0130 cls_loss_causal 0.6313 re_mapping 0.0109 re_causal 0.0332 /// teacc 98.76 lr 0.00010000 Epoch 73, weight, value: tensor([[-0.0037, -0.0145, -0.0136, ..., -0.0962, -0.0167, -0.0461], [ 0.0061, -0.0346, -0.0526, ..., 0.0055, -0.0052, -0.0733], [ 0.0409, -0.0646, -0.0334, ..., 0.0246, -0.0679, 0.0346], ..., [ 0.0115, -0.0242, -0.0615, ..., -0.0560, 0.0135, 0.0758], [ 0.0461, -0.0666, -0.0501, ..., -0.0446, -0.0171, -0.0266], [-0.1003, 0.0018, 0.0772, ..., 0.0531, -0.0256, -0.0526]], device='cuda:0'), grad: tensor([[-2.6926e-05, 2.0072e-05, -1.3411e-05, ..., 1.7852e-05, 9.6858e-08, 9.5248e-05], [ 1.3486e-05, 3.0732e-04, 2.8820e-03, ..., 2.0218e-03, -2.5658e-07, 9.2149e-05], [-9.5785e-05, -4.7475e-05, 2.9787e-05, ..., 1.5691e-05, 6.0303e-08, -8.7547e-04], ..., [ 3.6806e-05, 5.1856e-05, 1.8191e-04, ..., 1.2875e-04, 1.4086e-07, 2.8253e-04], [ 1.8060e-05, 8.7500e-05, 1.0484e-04, ..., 6.3837e-05, 1.1222e-07, 1.5008e-04], [ 9.9242e-06, -2.8038e-04, 1.3602e-04, ..., -5.1677e-05, 2.5611e-08, 3.6389e-05]], device='cuda:0') Epoch 73, bias, value: tensor([-0.0233, -0.0179, -0.0304, 0.0026, 0.0008, 0.0324, 0.0146, -0.0221, 0.0125, -0.0040], device='cuda:0'), grad: tensor([-1.1891e-04, 3.8986e-03, -1.0281e-03, -3.8296e-05, -4.4518e-03, 3.3545e-04, 1.9109e-04, 6.2513e-04, 4.4823e-04, 1.4150e-04], device='cuda:0') 100 0.0001 changing lr epoch 72, time 214.04, cls_loss 0.0062 cls_loss_mapping 0.0121 cls_loss_causal 0.6364 re_mapping 0.0109 re_causal 0.0324 /// teacc 98.81 lr 0.00010000 Epoch 74, weight, value: tensor([[-0.0038, -0.0148, -0.0136, ..., -0.0971, -0.0169, -0.0464], [ 0.0054, -0.0352, -0.0534, ..., 0.0052, -0.0051, -0.0735], [ 0.0408, -0.0654, -0.0339, ..., 0.0244, -0.0682, 0.0349], ..., [ 0.0117, -0.0241, -0.0623, ..., -0.0566, 0.0135, 0.0761], [ 0.0467, -0.0671, -0.0503, ..., -0.0446, -0.0173, -0.0274], [-0.1008, 0.0026, 0.0780, ..., 0.0539, -0.0256, -0.0532]], device='cuda:0'), grad: tensor([[ 9.7677e-06, 1.6708e-06, 8.7321e-06, ..., 4.3809e-06, 3.7439e-07, 3.9190e-06], [ 6.6124e-06, 9.3356e-06, -1.2465e-05, ..., -3.0268e-06, -1.0552e-06, 1.5162e-05], [ 4.5784e-06, 2.2314e-06, 4.5486e-06, ..., 5.3048e-06, 1.0640e-07, -7.2658e-05], ..., [-4.6206e-04, -2.4652e-04, -1.3185e-04, ..., -5.1546e-04, 3.7672e-07, -2.5773e-04], [ 7.1898e-06, 3.1032e-06, 5.1074e-06, ..., 1.1854e-05, 3.5577e-07, 9.4995e-06], [ 4.3297e-04, 2.2483e-04, 1.2839e-04, ..., 4.9067e-04, 4.7963e-08, 2.8300e-04]], device='cuda:0') Epoch 74, bias, value: tensor([-0.0234, -0.0180, -0.0307, 0.0025, 0.0008, 0.0321, 0.0147, -0.0223, 0.0131, -0.0037], device='cuda:0'), grad: tensor([ 2.6405e-05, -3.7104e-05, -2.9698e-05, 3.2663e-05, 2.9951e-05, 1.7092e-05, -1.4283e-05, -2.0828e-03, 4.9978e-05, 2.0084e-03], device='cuda:0') 100 0.0001 changing lr epoch 73, time 213.91, cls_loss 0.0049 cls_loss_mapping 0.0105 cls_loss_causal 0.5973 re_mapping 0.0106 re_causal 0.0321 /// teacc 98.80 lr 0.00010000 Epoch 75, weight, value: tensor([[-0.0037, -0.0150, -0.0139, ..., -0.0980, -0.0170, -0.0472], [ 0.0053, -0.0358, -0.0535, ..., 0.0052, -0.0050, -0.0740], [ 0.0410, -0.0653, -0.0343, ..., 0.0246, -0.0688, 0.0360], ..., [ 0.0114, -0.0242, -0.0630, ..., -0.0577, 0.0133, 0.0761], [ 0.0472, -0.0676, -0.0507, ..., -0.0452, -0.0180, -0.0278], [-0.1011, 0.0031, 0.0785, ..., 0.0545, -0.0258, -0.0535]], device='cuda:0'), grad: tensor([[ 2.9281e-05, 1.1912e-06, 4.5449e-05, ..., 3.4999e-06, 1.4086e-07, 2.9534e-05], [ 3.1758e-06, 4.6268e-06, -7.9302e-07, ..., -2.7958e-06, 4.2608e-08, 1.1966e-05], [ 2.8834e-05, 9.0972e-06, 2.3738e-05, ..., 3.5763e-06, 4.3074e-08, -4.6380e-06], ..., [ 1.5320e-06, -2.5146e-08, 8.1584e-06, ..., 1.3381e-05, 1.3667e-07, 1.5646e-05], [-1.5223e-04, 5.4203e-06, -1.3137e-04, ..., 5.7042e-05, 5.4110e-07, -1.9228e-04], [ 5.2989e-05, -2.1458e-05, -9.9093e-06, ..., -5.5879e-05, 1.7532e-07, 3.8624e-05]], device='cuda:0') Epoch 75, bias, value: tensor([-0.0236, -0.0183, -0.0299, 0.0022, 0.0011, 0.0320, 0.0146, -0.0227, 0.0132, -0.0034], device='cuda:0'), grad: tensor([ 5.7369e-05, 1.5900e-05, 6.4373e-05, 2.6560e-04, 1.5095e-05, -6.7949e-05, 8.1956e-05, 3.2783e-05, -5.1546e-04, 5.0128e-05], device='cuda:0') 100 0.0001 changing lr epoch 74, time 214.11, cls_loss 0.0064 cls_loss_mapping 0.0122 cls_loss_causal 0.6505 re_mapping 0.0106 re_causal 0.0332 /// teacc 98.82 lr 0.00010000 Epoch 76, weight, value: tensor([[-0.0047, -0.0152, -0.0149, ..., -0.0992, -0.0172, -0.0479], [ 0.0034, -0.0367, -0.0537, ..., 0.0042, -0.0050, -0.0744], [ 0.0415, -0.0653, -0.0348, ..., 0.0264, -0.0692, 0.0364], ..., [ 0.0115, -0.0242, -0.0637, ..., -0.0588, 0.0133, 0.0761], [ 0.0479, -0.0680, -0.0508, ..., -0.0457, -0.0183, -0.0282], [-0.1007, 0.0028, 0.0784, ..., 0.0539, -0.0260, -0.0541]], device='cuda:0'), grad: tensor([[ 1.4447e-05, 2.6766e-06, 1.4983e-05, ..., 1.3381e-05, 3.6322e-08, 2.6375e-06], [ 8.5905e-06, 6.5304e-06, -4.2329e-07, ..., -5.8599e-06, 1.0477e-08, 5.9977e-06], [ 4.1544e-05, 1.1198e-05, 2.7478e-05, ..., 1.6093e-05, 4.5402e-08, 1.2666e-06], ..., [ 4.3213e-06, 4.2208e-06, 2.2709e-05, ..., 3.1024e-05, 4.4238e-09, -4.7013e-06], [-9.0897e-05, 9.3058e-06, -1.8075e-05, ..., 5.3525e-05, 5.7742e-08, -8.8066e-06], [ 4.3124e-05, -1.8284e-05, -2.1756e-05, ..., 4.5508e-05, 1.0710e-08, 1.2055e-05]], device='cuda:0') Epoch 76, bias, value: tensor([-0.0247, -0.0192, -0.0293, 0.0025, 0.0024, 0.0319, 0.0147, -0.0229, 0.0137, -0.0036], device='cuda:0'), grad: tensor([ 3.9965e-05, 4.2953e-06, 1.1629e-04, 4.5091e-05, -3.9130e-05, -2.8181e-04, 1.0043e-04, 4.8548e-05, -1.4567e-04, 1.1200e-04], device='cuda:0') 100 0.0001 changing lr epoch 75, time 214.26, cls_loss 0.0053 cls_loss_mapping 0.0126 cls_loss_causal 0.6224 re_mapping 0.0111 re_causal 0.0337 /// teacc 98.76 lr 0.00010000 Epoch 77, weight, value: tensor([[-0.0045, -0.0153, -0.0153, ..., -0.0996, -0.0174, -0.0488], [ 0.0034, -0.0371, -0.0535, ..., 0.0047, -0.0050, -0.0751], [ 0.0414, -0.0657, -0.0353, ..., 0.0263, -0.0700, 0.0365], ..., [ 0.0121, -0.0244, -0.0643, ..., -0.0592, 0.0133, 0.0771], [ 0.0485, -0.0686, -0.0511, ..., -0.0459, -0.0183, -0.0291], [-0.1011, 0.0031, 0.0791, ..., 0.0542, -0.0260, -0.0546]], device='cuda:0'), grad: tensor([[-2.7847e-04, 9.2620e-07, -1.3578e-04, ..., -2.3127e-05, 0.0000e+00, -6.3121e-05], [ 1.3068e-05, 2.7493e-06, -3.8952e-05, ..., -6.4969e-05, 0.0000e+00, 1.6585e-05], [ 3.7819e-05, -1.0198e-04, 8.0645e-05, ..., 5.0873e-05, 0.0000e+00, -6.5184e-04], ..., [ 4.0457e-06, 9.1136e-05, 1.0081e-05, ..., 9.3579e-06, 0.0000e+00, 5.8222e-04], [ 2.5094e-05, 4.9844e-06, 3.0413e-05, ..., 8.3074e-06, 0.0000e+00, 2.8715e-05], [ 1.7285e-04, -8.3633e-07, 7.9155e-05, ..., 2.7176e-06, 0.0000e+00, 5.4836e-05]], device='cuda:0') Epoch 77, bias, value: tensor([-0.0247, -0.0192, -0.0295, 0.0026, 0.0020, 0.0313, 0.0147, -0.0223, 0.0137, -0.0035], device='cuda:0'), grad: tensor([-1.0424e-03, -6.9857e-05, -6.6710e-04, 1.5211e-04, 8.8573e-05, 3.2336e-05, -1.6129e-04, 8.5878e-04, 1.3924e-04, 6.6948e-04], device='cuda:0') 100 0.0001 changing lr epoch 76, time 213.78, cls_loss 0.0071 cls_loss_mapping 0.0114 cls_loss_causal 0.6075 re_mapping 0.0105 re_causal 0.0298 /// teacc 98.79 lr 0.00010000 Epoch 78, weight, value: tensor([[-0.0041, -0.0155, -0.0162, ..., -0.1015, -0.0175, -0.0491], [ 0.0031, -0.0371, -0.0537, ..., 0.0049, -0.0050, -0.0753], [ 0.0414, -0.0661, -0.0356, ..., 0.0261, -0.0701, 0.0369], ..., [ 0.0122, -0.0251, -0.0650, ..., -0.0593, 0.0133, 0.0768], [ 0.0488, -0.0688, -0.0514, ..., -0.0468, -0.0184, -0.0296], [-0.1014, 0.0034, 0.0801, ..., 0.0554, -0.0260, -0.0549]], device='cuda:0'), grad: tensor([[-3.6329e-05, -2.2631e-06, -9.1270e-06, ..., 4.7535e-06, 6.0536e-09, 6.0126e-06], [ 9.2685e-06, 1.5283e-06, -1.3135e-05, ..., -1.8731e-05, -2.2119e-07, 9.1568e-06], [-8.2791e-05, 1.2349e-06, 5.0627e-06, ..., -1.5870e-05, 1.2573e-08, -1.2034e-04], ..., [ 4.4741e-06, 1.7202e-06, 1.3180e-05, ..., 1.3962e-05, 5.2620e-08, 1.1753e-06], [ 4.6909e-05, 2.0806e-06, 1.9521e-05, ..., 1.8314e-05, 4.1444e-08, 2.9698e-05], [ 2.6435e-05, 5.6848e-06, 1.7390e-05, ..., 9.1717e-06, 1.9092e-08, 1.7742e-06]], device='cuda:0') Epoch 78, bias, value: tensor([-0.0247, -0.0191, -0.0296, 0.0028, 0.0012, 0.0315, 0.0144, -0.0224, 0.0135, -0.0028], device='cuda:0'), grad: tensor([-5.3555e-05, -2.8595e-05, -5.5122e-04, 2.6751e-04, -1.8114e-06, 2.6569e-05, 1.3104e-06, 6.8009e-05, 1.9526e-04, 7.6950e-05], device='cuda:0') 100 0.0001 changing lr epoch 77, time 214.34, cls_loss 0.0068 cls_loss_mapping 0.0119 cls_loss_causal 0.6067 re_mapping 0.0102 re_causal 0.0299 /// teacc 98.79 lr 0.00010000 Epoch 79, weight, value: tensor([[-0.0041, -0.0158, -0.0172, ..., -0.1046, -0.0177, -0.0492], [ 0.0028, -0.0357, -0.0535, ..., 0.0053, -0.0048, -0.0743], [ 0.0413, -0.0668, -0.0364, ..., 0.0259, -0.0707, 0.0368], ..., [ 0.0123, -0.0261, -0.0662, ..., -0.0601, 0.0135, 0.0762], [ 0.0494, -0.0692, -0.0517, ..., -0.0475, -0.0188, -0.0301], [-0.1023, 0.0037, 0.0811, ..., 0.0565, -0.0262, -0.0552]], device='cuda:0'), grad: tensor([[-1.0602e-05, 5.0478e-07, -5.3942e-06, ..., 1.7211e-06, 1.2573e-08, 7.4832e-07], [ 1.1865e-06, 9.1037e-07, -3.1590e-06, ..., -6.8322e-06, -5.0664e-07, 2.7530e-06], [ 3.9451e-06, 2.0303e-06, 2.6412e-06, ..., 1.9465e-06, 1.0338e-07, 1.1109e-05], ..., [ 6.5193e-09, 8.9779e-06, 2.2613e-06, ..., 3.9674e-06, 1.3271e-07, 8.6939e-07], [-5.8748e-06, 1.0300e-06, 4.1686e-06, ..., 3.3397e-06, 4.0513e-08, 4.3362e-06], [ 5.5507e-06, -1.0720e-06, -1.5954e-06, ..., -6.3097e-07, 4.3306e-08, 2.5406e-06]], device='cuda:0') Epoch 79, bias, value: tensor([-0.0257, -0.0196, -0.0299, 0.0031, 0.0012, 0.0312, 0.0149, -0.0220, 0.0139, -0.0023], device='cuda:0'), grad: tensor([-6.2108e-05, -7.9945e-06, 2.6584e-05, 5.4464e-06, 7.0706e-06, 3.9935e-06, -2.6636e-07, 8.9854e-06, 1.5832e-08, 1.8224e-05], device='cuda:0') 100 0.0001 changing lr epoch 78, time 214.07, cls_loss 0.0059 cls_loss_mapping 0.0125 cls_loss_causal 0.6306 re_mapping 0.0107 re_causal 0.0316 /// teacc 98.71 lr 0.00010000 Epoch 80, weight, value: tensor([[-0.0029, -0.0160, -0.0169, ..., -0.1053, -0.0179, -0.0491], [ 0.0026, -0.0360, -0.0538, ..., 0.0054, -0.0046, -0.0745], [ 0.0412, -0.0676, -0.0376, ..., 0.0256, -0.0709, 0.0371], ..., [ 0.0122, -0.0269, -0.0668, ..., -0.0607, 0.0136, 0.0759], [ 0.0493, -0.0696, -0.0524, ..., -0.0488, -0.0189, -0.0306], [-0.1032, 0.0034, 0.0811, ..., 0.0565, -0.0263, -0.0560]], device='cuda:0'), grad: tensor([[ 5.2974e-06, 1.0859e-06, 2.4214e-06, ..., 2.4378e-05, 0.0000e+00, 3.5949e-07], [ 2.6580e-06, 1.3532e-06, -6.6981e-06, ..., -1.2200e-06, 0.0000e+00, 1.0598e-06], [ 1.1615e-05, 8.7358e-07, 3.0920e-06, ..., 3.2157e-05, 0.0000e+00, -2.5406e-06], ..., [ 1.9390e-06, 5.0329e-06, 1.4499e-05, ..., 2.3559e-05, 0.0000e+00, -1.3281e-06], [ 4.7572e-06, 1.0982e-05, 3.5197e-05, ..., 6.2168e-05, 0.0000e+00, 8.1537e-07], [ 6.3106e-06, -2.9430e-05, -6.4850e-05, ..., -4.8608e-05, 0.0000e+00, -1.5330e-06]], device='cuda:0') Epoch 80, bias, value: tensor([-0.0248, -0.0196, -0.0302, 0.0037, 0.0021, 0.0312, 0.0145, -0.0223, 0.0131, -0.0026], device='cuda:0'), grad: tensor([ 7.9155e-05, -9.1717e-06, 1.1224e-04, 2.2912e-04, 1.5542e-05, -6.8521e-04, 8.8811e-05, 6.3598e-05, 1.5545e-04, -4.9829e-05], device='cuda:0') 100 0.0001 changing lr epoch 79, time 214.13, cls_loss 0.0078 cls_loss_mapping 0.0123 cls_loss_causal 0.6312 re_mapping 0.0107 re_causal 0.0313 /// teacc 98.67 lr 0.00010000 Epoch 81, weight, value: tensor([[-0.0037, -0.0162, -0.0173, ..., -0.1063, -0.0181, -0.0495], [ 0.0024, -0.0364, -0.0535, ..., 0.0045, -0.0038, -0.0750], [ 0.0412, -0.0681, -0.0383, ..., 0.0268, -0.0714, 0.0382], ..., [ 0.0123, -0.0267, -0.0674, ..., -0.0613, 0.0136, 0.0761], [ 0.0489, -0.0701, -0.0532, ..., -0.0500, -0.0190, -0.0318], [-0.1039, 0.0034, 0.0810, ..., 0.0564, -0.0265, -0.0568]], device='cuda:0'), grad: tensor([[-1.5235e-04, 2.7679e-06, -1.0192e-04, ..., 9.5516e-06, 0.0000e+00, 3.6694e-06], [ 6.5863e-06, 4.8615e-06, 8.7768e-06, ..., 3.7514e-06, 0.0000e+00, 1.4879e-05], [ 1.0163e-04, 7.6830e-05, 1.4231e-05, ..., 9.8348e-06, 0.0000e+00, 2.2602e-04], ..., [-1.5795e-04, -3.1328e-04, -3.6812e-04, ..., 4.2826e-05, 0.0000e+00, -5.5695e-04], [ 3.1441e-05, 6.2026e-06, 2.7597e-05, ..., 4.7773e-05, 0.0000e+00, 3.2157e-05], [ 1.7881e-04, 5.9795e-04, 4.7989e-03, ..., 3.7384e-03, 0.0000e+00, 2.6464e-04]], device='cuda:0') Epoch 81, bias, value: tensor([-0.0251, -0.0199, -0.0295, 0.0034, 0.0027, 0.0318, 0.0155, -0.0223, 0.0120, -0.0031], device='cuda:0'), grad: tensor([-4.0102e-04, 3.9369e-05, 3.1781e-04, 9.2149e-05, -6.5002e-03, -1.1109e-05, 3.3379e-05, -1.5364e-03, 1.3912e-04, 7.8278e-03], device='cuda:0') 100 0.0001 changing lr epoch 80, time 214.31, cls_loss 0.0055 cls_loss_mapping 0.0096 cls_loss_causal 0.6093 re_mapping 0.0106 re_causal 0.0313 /// teacc 98.83 lr 0.00010000 Epoch 82, weight, value: tensor([[-0.0034, -0.0163, -0.0179, ..., -0.1070, -0.0181, -0.0500], [ 0.0022, -0.0366, -0.0534, ..., 0.0047, -0.0037, -0.0751], [ 0.0409, -0.0689, -0.0392, ..., 0.0265, -0.0716, 0.0380], ..., [ 0.0118, -0.0279, -0.0685, ..., -0.0621, 0.0136, 0.0756], [ 0.0490, -0.0703, -0.0534, ..., -0.0503, -0.0190, -0.0321], [-0.1045, 0.0038, 0.0825, ..., 0.0568, -0.0265, -0.0585]], device='cuda:0'), grad: tensor([[ 4.3362e-05, 9.1493e-06, 5.3704e-05, ..., 1.3709e-06, 0.0000e+00, 3.7581e-05], [ 1.8373e-05, 1.4529e-05, 2.1487e-05, ..., 6.1579e-06, 0.0000e+00, 4.2021e-05], [ 6.8426e-05, 8.4043e-06, 1.0633e-04, ..., 5.7183e-06, 0.0000e+00, -2.1577e-05], ..., [-3.9816e-05, -6.3121e-05, 4.0919e-05, ..., 2.6971e-05, 0.0000e+00, -1.5271e-04], [ 8.6725e-06, 7.1414e-06, 2.6733e-05, ..., 1.4834e-05, 0.0000e+00, 1.3463e-05], [ 1.0654e-05, -6.5304e-06, -3.5346e-05, ..., -4.4018e-05, 0.0000e+00, 2.5406e-05]], device='cuda:0') Epoch 82, bias, value: tensor([-0.0251, -0.0198, -0.0301, 0.0045, 0.0029, 0.0318, 0.0160, -0.0229, 0.0121, -0.0031], device='cuda:0'), grad: tensor([ 1.3697e-04, 9.0957e-05, 1.7393e-04, 1.2058e-04, 7.9775e-04, 1.5199e-04, -1.3399e-03, -1.7691e-04, 5.3376e-05, -8.8066e-06], device='cuda:0') 100 0.0001 changing lr epoch 81, time 214.16, cls_loss 0.0054 cls_loss_mapping 0.0096 cls_loss_causal 0.5908 re_mapping 0.0106 re_causal 0.0305 /// teacc 98.81 lr 0.00010000 Epoch 83, weight, value: tensor([[-0.0044, -0.0166, -0.0174, ..., -0.1079, -0.0181, -0.0500], [ 0.0020, -0.0373, -0.0536, ..., 0.0044, -0.0038, -0.0760], [ 0.0407, -0.0694, -0.0399, ..., 0.0265, -0.0720, 0.0375], ..., [ 0.0121, -0.0273, -0.0694, ..., -0.0627, 0.0138, 0.0773], [ 0.0489, -0.0707, -0.0527, ..., -0.0503, -0.0190, -0.0327], [-0.1057, 0.0041, 0.0824, ..., 0.0571, -0.0266, -0.0592]], device='cuda:0'), grad: tensor([[-1.2882e-05, 6.2399e-07, 2.1607e-06, ..., 3.6471e-06, 0.0000e+00, 1.8263e-06], [ 6.8620e-06, 1.3262e-06, -3.9600e-06, ..., -8.5980e-06, 0.0000e+00, 6.1654e-06], [ 1.8813e-06, 1.4165e-06, 2.5667e-06, ..., 3.2112e-06, 0.0000e+00, -1.2569e-05], ..., [ 4.2096e-07, 1.5117e-05, 4.3899e-05, ..., 1.2505e-04, 0.0000e+00, 5.0478e-06], [ 6.7428e-06, 5.2750e-06, 7.2382e-06, ..., 5.3197e-06, 0.0000e+00, 6.2808e-06], [ 4.0457e-06, -3.6299e-05, -1.0151e-04, ..., -2.8300e-04, 0.0000e+00, -3.0212e-06]], device='cuda:0') Epoch 83, bias, value: tensor([-0.0256, -0.0203, -0.0306, 0.0037, 0.0029, 0.0324, 0.0173, -0.0220, 0.0123, -0.0035], device='cuda:0'), grad: tensor([-2.4438e-05, -3.3993e-06, -6.0908e-06, -2.2411e-05, 6.7830e-05, 1.1861e-04, -2.6718e-05, 1.3804e-04, 3.4302e-05, -2.7561e-04], device='cuda:0') 100 0.0001 changing lr epoch 82, time 214.28, cls_loss 0.0054 cls_loss_mapping 0.0113 cls_loss_causal 0.5978 re_mapping 0.0104 re_causal 0.0309 /// teacc 98.80 lr 0.00010000 Epoch 84, weight, value: tensor([[-0.0040, -0.0167, -0.0177, ..., -0.1084, -0.0182, -0.0507], [ 0.0014, -0.0365, -0.0511, ..., 0.0061, -0.0035, -0.0762], [ 0.0408, -0.0699, -0.0403, ..., 0.0266, -0.0723, 0.0378], ..., [ 0.0127, -0.0269, -0.0724, ..., -0.0654, 0.0138, 0.0784], [ 0.0492, -0.0715, -0.0540, ..., -0.0508, -0.0190, -0.0338], [-0.1064, 0.0043, 0.0835, ..., 0.0585, -0.0266, -0.0607]], device='cuda:0'), grad: tensor([[-2.6133e-06, 3.9823e-06, 7.6070e-06, ..., 4.6529e-06, 0.0000e+00, 1.7257e-06], [ 4.3288e-06, 3.2037e-05, 1.5631e-05, ..., 1.7017e-05, 0.0000e+00, 1.8954e-05], [ 1.6307e-06, 6.3144e-06, 5.3868e-06, ..., 1.6112e-06, 0.0000e+00, -1.1705e-05], ..., [ 2.9318e-06, -5.5641e-05, 9.4101e-06, ..., 1.1489e-05, 0.0000e+00, -4.5776e-05], [ 5.9277e-05, 3.9637e-05, 5.5820e-05, ..., 2.5406e-05, 0.0000e+00, 1.4238e-05], [ 2.4047e-06, -4.5925e-05, -6.4671e-05, ..., -1.0151e-04, 0.0000e+00, -4.2692e-06]], device='cuda:0') Epoch 84, bias, value: tensor([-0.0253, -0.0195, -0.0305, 0.0034, 0.0018, 0.0320, 0.0173, -0.0220, 0.0118, -0.0030], device='cuda:0'), grad: tensor([ 5.5740e-07, 7.3910e-05, -3.8631e-06, 9.3043e-05, 1.3389e-05, 3.8773e-05, -2.5320e-04, -9.1612e-05, 2.2280e-04, -9.3520e-05], device='cuda:0') 100 0.0001 changing lr epoch 83, time 213.97, cls_loss 0.0062 cls_loss_mapping 0.0123 cls_loss_causal 0.6255 re_mapping 0.0098 re_causal 0.0302 /// teacc 98.84 lr 0.00010000 Epoch 85, weight, value: tensor([[-0.0036, -0.0172, -0.0181, ..., -0.1089, -0.0182, -0.0516], [ 0.0012, -0.0372, -0.0516, ..., 0.0056, -0.0036, -0.0764], [ 0.0408, -0.0683, -0.0407, ..., 0.0266, -0.0723, 0.0395], ..., [ 0.0129, -0.0274, -0.0744, ..., -0.0663, 0.0139, 0.0776], [ 0.0494, -0.0725, -0.0540, ..., -0.0514, -0.0191, -0.0348], [-0.1068, 0.0048, 0.0849, ..., 0.0595, -0.0267, -0.0608]], device='cuda:0'), grad: tensor([[ 9.5963e-06, 1.5143e-06, 1.9863e-05, ..., 6.2864e-07, 3.9116e-08, 3.2447e-06], [ 1.8999e-06, 7.2531e-06, 3.0035e-07, ..., -5.1409e-06, 3.3993e-07, 1.8075e-05], [ 8.5533e-06, 9.6336e-06, 1.3903e-05, ..., 1.5236e-06, 1.1129e-07, 1.3828e-05], ..., [ 3.6974e-07, -2.5645e-05, 3.7830e-06, ..., 1.9930e-06, -1.2899e-06, -6.2943e-05], [ 4.2878e-06, 4.3847e-06, 8.3670e-06, ..., 3.1982e-06, 1.0058e-07, 1.0014e-05], [ 3.9190e-06, 8.2552e-06, 1.0759e-05, ..., 3.8557e-06, 1.0012e-07, 1.5222e-05]], device='cuda:0') Epoch 85, bias, value: tensor([-0.0255, -0.0198, -0.0289, 0.0039, 0.0018, 0.0314, 0.0167, -0.0230, 0.0115, -0.0023], device='cuda:0'), grad: tensor([-1.2565e-04, 3.3855e-05, 1.1003e-04, 5.1744e-06, -5.2005e-05, 1.5885e-05, -9.0063e-05, -8.5235e-05, 5.2452e-05, 1.3554e-04], device='cuda:0') 100 0.0001 changing lr epoch 84, time 214.15, cls_loss 0.0062 cls_loss_mapping 0.0117 cls_loss_causal 0.6338 re_mapping 0.0098 re_causal 0.0290 /// teacc 98.84 lr 0.00010000 Epoch 86, weight, value: tensor([[-0.0034, -0.0173, -0.0186, ..., -0.1094, -0.0184, -0.0523], [ 0.0007, -0.0370, -0.0517, ..., 0.0058, -0.0037, -0.0767], [ 0.0406, -0.0686, -0.0415, ..., 0.0265, -0.0731, 0.0393], ..., [ 0.0127, -0.0274, -0.0748, ..., -0.0655, 0.0143, 0.0784], [ 0.0504, -0.0727, -0.0541, ..., -0.0523, -0.0194, -0.0348], [-0.1074, 0.0044, 0.0839, ..., 0.0588, -0.0269, -0.0615]], device='cuda:0'), grad: tensor([[-2.8349e-06, 6.7474e-07, 5.8375e-06, ..., 2.0489e-06, 0.0000e+00, 1.5935e-06], [ 8.7777e-07, 2.3581e-06, 8.4713e-06, ..., 1.0237e-05, 0.0000e+00, 3.1833e-06], [ 9.4697e-06, 5.5209e-06, 6.3665e-06, ..., 3.4496e-06, 0.0000e+00, 5.5209e-06], ..., [ 5.2853e-07, 1.1344e-06, 2.1935e-05, ..., 2.6941e-05, 0.0000e+00, -8.6799e-07], [-4.4882e-05, 1.0438e-05, 1.4432e-05, ..., 4.5955e-05, 0.0000e+00, 3.8259e-06], [ 8.6799e-06, -2.2337e-05, -9.9659e-05, ..., -1.3113e-04, 0.0000e+00, 2.3153e-06]], device='cuda:0') Epoch 86, bias, value: tensor([-0.0253, -0.0200, -0.0292, 0.0030, 0.0031, 0.0324, 0.0163, -0.0223, 0.0121, -0.0040], device='cuda:0'), grad: tensor([ 1.0259e-05, 2.1145e-05, 4.2945e-05, 2.7433e-05, 3.4183e-05, 3.8087e-05, 1.5438e-05, 3.8624e-05, -8.0764e-05, -1.4722e-04], device='cuda:0') 100 0.0001 changing lr epoch 85, time 214.30, cls_loss 0.0042 cls_loss_mapping 0.0093 cls_loss_causal 0.5841 re_mapping 0.0100 re_causal 0.0294 /// teacc 98.85 lr 0.00010000 Epoch 87, weight, value: tensor([[-0.0031, -0.0175, -0.0188, ..., -0.1098, -0.0185, -0.0536], [ 0.0003, -0.0372, -0.0514, ..., 0.0060, -0.0037, -0.0770], [ 0.0411, -0.0688, -0.0422, ..., 0.0264, -0.0734, 0.0401], ..., [ 0.0128, -0.0273, -0.0754, ..., -0.0660, 0.0143, 0.0787], [ 0.0500, -0.0733, -0.0548, ..., -0.0532, -0.0195, -0.0362], [-0.1079, 0.0046, 0.0840, ..., 0.0594, -0.0269, -0.0618]], device='cuda:0'), grad: tensor([[-2.5153e-04, -2.0802e-05, -1.0216e-04, ..., 2.2771e-07, 1.5367e-08, -7.2300e-05], [ 1.0110e-05, 2.4270e-06, -2.4531e-06, ..., -2.2538e-06, -4.4331e-07, 3.5781e-06], [ 1.3568e-05, 1.3664e-05, 6.3814e-06, ..., 4.0466e-07, 5.1688e-08, 2.0698e-05], ..., [ 1.4842e-05, -4.4823e-05, 1.0587e-05, ..., 2.8238e-06, 1.3970e-07, -6.2227e-05], [-7.5847e-06, -6.2697e-06, -1.0923e-05, ..., 7.6368e-07, 3.8650e-08, 9.3579e-06], [ 1.2314e-04, 1.6913e-05, 6.3717e-05, ..., -5.7779e-06, 8.8476e-08, 4.5389e-05]], device='cuda:0') Epoch 87, bias, value: tensor([-0.0251, -0.0200, -0.0287, 0.0024, 0.0030, 0.0332, 0.0163, -0.0223, 0.0111, -0.0041], device='cuda:0'), grad: tensor([-5.3072e-04, 1.6183e-05, 4.7505e-05, 4.5985e-05, 3.6865e-05, 4.5389e-05, 1.1313e-04, -3.1680e-05, -2.8417e-05, 2.8539e-04], device='cuda:0') 100 0.0001 changing lr epoch 86, time 214.21, cls_loss 0.0056 cls_loss_mapping 0.0105 cls_loss_causal 0.6345 re_mapping 0.0103 re_causal 0.0303 /// teacc 98.85 lr 0.00010000 Epoch 88, weight, value: tensor([[-0.0028, -0.0182, -0.0191, ..., -0.1097, -0.0190, -0.0543], [ 0.0001, -0.0393, -0.0516, ..., 0.0056, -0.0038, -0.0773], [ 0.0408, -0.0695, -0.0435, ..., 0.0262, -0.0748, 0.0407], ..., [ 0.0118, -0.0266, -0.0756, ..., -0.0662, 0.0169, 0.0785], [ 0.0508, -0.0727, -0.0552, ..., -0.0537, -0.0198, -0.0353], [-0.1087, 0.0052, 0.0844, ..., 0.0598, -0.0299, -0.0625]], device='cuda:0'), grad: tensor([[ 8.8811e-05, 1.7639e-06, 1.2359e-06, ..., 1.6261e-06, 0.0000e+00, 1.4277e-03], [ 3.3956e-06, 4.1910e-06, -2.9076e-06, ..., -4.2506e-06, 0.0000e+00, 4.0770e-05], [-1.2469e-04, 2.1104e-06, 2.8498e-06, ..., 4.0866e-06, 0.0000e+00, -1.8978e-03], ..., [ 7.2159e-06, 1.7241e-05, 3.6478e-05, ..., 7.2420e-05, 0.0000e+00, -3.5446e-06], [ 1.8328e-05, 3.6117e-06, 3.2727e-06, ..., 6.6608e-06, 0.0000e+00, 2.7204e-04], [ 1.7568e-05, 5.5939e-05, 5.9307e-05, ..., 1.2600e-04, 0.0000e+00, 8.9347e-05]], device='cuda:0') Epoch 88, bias, value: tensor([-0.0248, -0.0204, -0.0290, 0.0022, 0.0029, 0.0334, 0.0162, -0.0223, 0.0123, -0.0042], device='cuda:0'), grad: tensor([ 2.4242e-03, 3.8370e-06, -3.1929e-03, 8.4639e-05, -3.1185e-04, 1.1638e-05, 2.0325e-04, 7.4744e-05, 4.6873e-04, 2.3413e-04], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 87---------------------------------------------------- epoch 87, time 230.48, cls_loss 0.0044 cls_loss_mapping 0.0088 cls_loss_causal 0.6012 re_mapping 0.0094 re_causal 0.0286 /// teacc 98.94 lr 0.00010000 Epoch 89, weight, value: tensor([[-2.8128e-03, -1.8939e-02, -2.0102e-02, ..., -1.1003e-01, -1.9154e-02, -5.6805e-02], [-4.8598e-05, -3.9678e-02, -5.1523e-02, ..., 5.9077e-03, -3.6896e-03, -7.7730e-02], [ 4.0551e-02, -6.9865e-02, -4.4864e-02, ..., 2.6145e-02, -7.5475e-02, 4.1167e-02], ..., [ 1.1943e-02, -2.6143e-02, -7.6031e-02, ..., -6.6541e-02, 1.7846e-02, 7.9364e-02], [ 5.0706e-02, -7.3334e-02, -5.6043e-02, ..., -5.4623e-02, -2.0180e-02, -3.5804e-02], [-1.0912e-01, 5.3183e-03, 8.4716e-02, ..., 6.0002e-02, -3.0892e-02, -6.3285e-02]], device='cuda:0'), grad: tensor([[-7.6771e-05, 1.6699e-06, 3.2447e-06, ..., 2.2352e-07, 1.5367e-08, 1.6317e-06], [ 2.3097e-06, 7.0892e-06, -1.4873e-06, ..., -2.7586e-06, -6.9384e-08, 7.1377e-06], [ 3.8147e-05, 8.5458e-06, 9.3281e-06, ..., 7.7626e-07, 7.9628e-08, -9.8348e-06], ..., [ 4.6268e-06, -2.1005e-04, 5.5954e-06, ..., 3.0193e-06, -1.8161e-07, -1.7548e-04], [-7.2382e-06, 1.0550e-05, 1.7077e-05, ..., 1.2182e-06, 3.6322e-08, 1.4670e-05], [ 1.1757e-05, 8.6069e-05, 2.1979e-05, ..., -3.6471e-06, 8.1956e-08, 7.0214e-05]], device='cuda:0') Epoch 89, bias, value: tensor([-0.0255, -0.0204, -0.0291, 0.0017, 0.0027, 0.0333, 0.0174, -0.0218, 0.0119, -0.0042], device='cuda:0'), grad: tensor([-1.7643e-04, 9.1195e-06, 8.6069e-05, 1.5640e-04, -8.4639e-05, 3.0518e-05, 6.2943e-05, -2.9635e-04, 3.7193e-05, 1.7524e-04], device='cuda:0') 100 0.0001 changing lr epoch 88, time 213.96, cls_loss 0.0040 cls_loss_mapping 0.0095 cls_loss_causal 0.6171 re_mapping 0.0099 re_causal 0.0307 /// teacc 98.85 lr 0.00010000 Epoch 90, weight, value: tensor([[-0.0023, -0.0187, -0.0205, ..., -0.1102, -0.0198, -0.0572], [-0.0002, -0.0395, -0.0503, ..., 0.0064, -0.0035, -0.0774], [ 0.0405, -0.0703, -0.0455, ..., 0.0261, -0.0768, 0.0408], ..., [ 0.0120, -0.0261, -0.0775, ..., -0.0674, 0.0184, 0.0802], [ 0.0508, -0.0740, -0.0564, ..., -0.0552, -0.0206, -0.0367], [-0.1095, 0.0055, 0.0850, ..., 0.0602, -0.0317, -0.0640]], device='cuda:0'), grad: tensor([[-2.8431e-05, -1.4730e-05, 2.1029e-06, ..., 3.2000e-06, 0.0000e+00, 9.6578e-07], [ 1.2312e-06, 5.3532e-06, 1.2750e-06, ..., 1.1241e-06, 0.0000e+00, 5.7071e-06], [ 2.7381e-06, 7.1153e-06, 5.5507e-06, ..., 7.8604e-06, 0.0000e+00, 4.7386e-06], ..., [-5.3504e-07, 1.2255e-04, 9.7513e-05, ..., 7.1466e-05, 0.0000e+00, 8.7738e-05], [-2.2594e-06, 1.0669e-05, 7.3798e-06, ..., 1.5318e-05, 0.0000e+00, 6.2846e-06], [ 6.3106e-06, -9.3162e-05, -1.4532e-04, ..., -1.2815e-04, 0.0000e+00, 9.0292e-07]], device='cuda:0') Epoch 90, bias, value: tensor([-0.0253, -0.0196, -0.0296, 0.0015, 0.0027, 0.0331, 0.0170, -0.0218, 0.0118, -0.0041], device='cuda:0'), grad: tensor([-5.2214e-05, 1.1742e-05, 2.2337e-05, -1.2112e-04, 2.5973e-05, 4.5896e-06, 3.3230e-05, 2.4700e-04, 1.5616e-05, -1.8775e-04], device='cuda:0') 100 0.0001 changing lr epoch 89, time 213.90, cls_loss 0.0051 cls_loss_mapping 0.0113 cls_loss_causal 0.5659 re_mapping 0.0100 re_causal 0.0280 /// teacc 98.86 lr 0.00010000 Epoch 91, weight, value: tensor([[-0.0013, -0.0178, -0.0190, ..., -0.1111, -0.0201, -0.0580], [-0.0005, -0.0398, -0.0504, ..., 0.0064, -0.0035, -0.0777], [ 0.0408, -0.0708, -0.0462, ..., 0.0259, -0.0773, 0.0408], ..., [ 0.0121, -0.0259, -0.0781, ..., -0.0677, 0.0185, 0.0812], [ 0.0507, -0.0747, -0.0569, ..., -0.0561, -0.0208, -0.0383], [-0.1101, 0.0058, 0.0855, ..., 0.0611, -0.0320, -0.0648]], device='cuda:0'), grad: tensor([[-2.4661e-05, 3.2829e-07, 2.6543e-06, ..., 3.3714e-06, 7.4506e-09, 1.0710e-08], [ 6.9244e-07, 2.9616e-07, -2.4796e-05, ..., -2.5317e-05, -2.4121e-07, 2.4009e-06], [ 2.0936e-05, 2.5518e-06, 7.8380e-06, ..., 6.3218e-06, 2.4214e-08, -1.8299e-05], ..., [ 6.1933e-07, -7.6964e-06, 3.8035e-06, ..., 4.5709e-06, 6.6590e-08, -3.8054e-06], [-5.8301e-06, 1.2498e-06, 5.0999e-06, ..., 7.9870e-06, 2.4680e-08, 1.9558e-06], [ 9.3132e-06, 7.0706e-06, 3.3844e-06, ..., 1.7658e-05, 3.8650e-08, 6.2101e-06]], device='cuda:0') Epoch 91, bias, value: tensor([-0.0238, -0.0197, -0.0295, 0.0022, 0.0026, 0.0324, 0.0161, -0.0212, 0.0109, -0.0042], device='cuda:0'), grad: tensor([-7.6294e-05, -1.9383e-04, 7.9632e-05, 3.0428e-05, 7.6257e-06, -1.7077e-05, 3.9041e-06, 1.0777e-04, 3.2894e-06, 5.4449e-05], device='cuda:0') 100 0.0001 changing lr epoch 90, time 214.13, cls_loss 0.0042 cls_loss_mapping 0.0101 cls_loss_causal 0.5891 re_mapping 0.0092 re_causal 0.0283 /// teacc 98.84 lr 0.00010000 Epoch 92, weight, value: tensor([[-0.0012, -0.0180, -0.0193, ..., -0.1118, -0.0202, -0.0584], [-0.0006, -0.0399, -0.0506, ..., 0.0064, -0.0033, -0.0780], [ 0.0407, -0.0714, -0.0467, ..., 0.0260, -0.0779, 0.0413], ..., [ 0.0119, -0.0254, -0.0783, ..., -0.0679, 0.0190, 0.0816], [ 0.0510, -0.0754, -0.0574, ..., -0.0571, -0.0210, -0.0394], [-0.1106, 0.0058, 0.0860, ..., 0.0616, -0.0326, -0.0659]], device='cuda:0'), grad: tensor([[-7.2196e-06, 1.0431e-06, 5.9903e-06, ..., 5.5209e-06, 1.2107e-08, 5.6028e-06], [ 4.5309e-07, 9.8869e-06, 1.2207e-03, ..., 1.0347e-03, -4.2375e-07, 9.6083e-04], [ 1.3700e-06, 3.7365e-06, -1.4162e-03, ..., -1.2197e-03, 5.0757e-08, -1.0662e-03], ..., [ 4.7917e-07, -6.6578e-05, 1.2383e-05, ..., 1.3016e-05, 8.1025e-08, -4.1306e-05], [ 9.7044e-07, 6.9626e-06, 2.1994e-05, ..., -1.5289e-05, 7.1246e-08, 1.6525e-05], [ 1.2433e-06, -5.0589e-06, -1.4615e-04, ..., -1.4818e-04, 4.8894e-08, 2.9236e-05]], device='cuda:0') Epoch 92, bias, value: tensor([-0.0239, -0.0198, -0.0291, 0.0021, 0.0024, 0.0320, 0.0164, -0.0210, 0.0107, -0.0044], device='cuda:0'), grad: tensor([ 1.9297e-05, 7.1106e-03, -7.8278e-03, 4.0501e-05, 3.0971e-04, 5.4717e-05, 5.8746e-04, -5.5879e-05, -1.3387e-04, -1.0026e-04], device='cuda:0') 100 0.0001 changing lr epoch 91, time 214.08, cls_loss 0.0038 cls_loss_mapping 0.0084 cls_loss_causal 0.5794 re_mapping 0.0093 re_causal 0.0285 /// teacc 98.94 lr 0.00010000 Epoch 93, weight, value: tensor([[-0.0007, -0.0182, -0.0195, ..., -0.1124, -0.0203, -0.0588], [-0.0008, -0.0401, -0.0502, ..., 0.0066, -0.0033, -0.0784], [ 0.0404, -0.0717, -0.0474, ..., 0.0259, -0.0785, 0.0416], ..., [ 0.0115, -0.0252, -0.0787, ..., -0.0682, 0.0192, 0.0821], [ 0.0511, -0.0759, -0.0585, ..., -0.0588, -0.0212, -0.0396], [-0.1109, 0.0061, 0.0865, ..., 0.0624, -0.0326, -0.0664]], device='cuda:0'), grad: tensor([[-2.2665e-05, 1.8766e-07, 1.1608e-05, ..., -4.2245e-06, 0.0000e+00, 1.9232e-07], [ 1.8300e-06, 2.1625e-06, -2.0601e-06, ..., -3.6061e-06, 0.0000e+00, 3.2224e-06], [ 1.7760e-06, 3.5623e-07, 1.7304e-06, ..., 6.7661e-07, 0.0000e+00, 3.7067e-07], ..., [ 2.0657e-06, -7.5623e-06, 5.6485e-07, ..., 1.2880e-06, 0.0000e+00, -1.1660e-05], [ 1.4715e-05, 1.0431e-06, 1.1034e-05, ..., 2.3022e-06, 0.0000e+00, 5.3458e-07], [ 6.7018e-06, 4.1574e-06, 5.1670e-06, ..., 1.1073e-06, 0.0000e+00, 6.5155e-06]], device='cuda:0') Epoch 93, bias, value: tensor([-0.0234, -0.0195, -0.0294, 0.0023, 0.0020, 0.0321, 0.0159, -0.0208, 0.0101, -0.0040], device='cuda:0'), grad: tensor([-4.3690e-05, 1.9614e-06, 5.7109e-06, 3.1084e-05, 4.7386e-06, 5.5027e-04, -5.9557e-04, -1.4506e-05, 3.3408e-05, 2.7210e-05], device='cuda:0') 100 0.0001 changing lr epoch 92, time 213.84, cls_loss 0.0038 cls_loss_mapping 0.0096 cls_loss_causal 0.5762 re_mapping 0.0093 re_causal 0.0290 /// teacc 98.86 lr 0.00010000 Epoch 94, weight, value: tensor([[-0.0004, -0.0184, -0.0194, ..., -0.1126, -0.0204, -0.0595], [-0.0028, -0.0406, -0.0492, ..., 0.0072, -0.0033, -0.0788], [ 0.0421, -0.0720, -0.0483, ..., 0.0257, -0.0786, 0.0415], ..., [ 0.0117, -0.0248, -0.0794, ..., -0.0686, 0.0192, 0.0828], [ 0.0513, -0.0763, -0.0582, ..., -0.0594, -0.0212, -0.0398], [-0.1116, 0.0052, 0.0860, ..., 0.0618, -0.0326, -0.0671]], device='cuda:0'), grad: tensor([[ 7.7635e-06, 5.7463e-07, 1.7598e-05, ..., 1.7956e-05, 0.0000e+00, 5.3234e-06], [-3.2067e-05, 1.6913e-06, -5.9277e-05, ..., -5.7161e-05, 0.0000e+00, 6.5975e-06], [-2.2680e-05, 1.2651e-05, 4.4554e-06, ..., -5.7518e-06, 0.0000e+00, -4.8608e-05], ..., [ 1.2442e-05, -3.7365e-06, 8.3447e-06, ..., 1.1250e-05, 0.0000e+00, 4.1336e-05], [-1.7986e-05, -4.5225e-06, -1.4357e-05, ..., -2.5347e-05, 0.0000e+00, -2.3330e-07], [ 2.9311e-05, 1.9092e-06, 2.4080e-05, ..., 3.3677e-05, 0.0000e+00, 7.1013e-07]], device='cuda:0') Epoch 94, bias, value: tensor([-0.0231, -0.0202, -0.0285, 0.0013, 0.0028, 0.0328, 0.0153, -0.0205, 0.0105, -0.0051], device='cuda:0'), grad: tensor([ 5.6237e-05, -2.1052e-04, -3.7521e-05, -1.5751e-05, 1.8790e-05, 3.3379e-05, 3.4809e-05, 6.3539e-05, -5.1141e-05, 1.0842e-04], device='cuda:0') 100 0.0001 changing lr epoch 93, time 214.00, cls_loss 0.0033 cls_loss_mapping 0.0081 cls_loss_causal 0.5752 re_mapping 0.0088 re_causal 0.0282 /// teacc 98.94 lr 0.00010000 Epoch 95, weight, value: tensor([[-0.0004, -0.0187, -0.0195, ..., -0.1129, -0.0205, -0.0607], [-0.0028, -0.0409, -0.0476, ..., 0.0077, -0.0033, -0.0790], [ 0.0419, -0.0725, -0.0490, ..., 0.0257, -0.0787, 0.0410], ..., [ 0.0124, -0.0241, -0.0808, ..., -0.0685, 0.0192, 0.0842], [ 0.0516, -0.0767, -0.0588, ..., -0.0605, -0.0213, -0.0400], [-0.1121, 0.0051, 0.0862, ..., 0.0617, -0.0327, -0.0680]], device='cuda:0'), grad: tensor([[-1.2843e-06, 7.5344e-07, 1.7993e-06, ..., 9.1940e-06, 0.0000e+00, 1.2606e-05], [ 8.0978e-07, 1.0859e-06, -3.6806e-06, ..., -3.7551e-06, 0.0000e+00, 4.5858e-06], [-3.9876e-05, -4.4815e-06, -4.3094e-05, ..., -1.4544e-04, 0.0000e+00, -1.1814e-04], ..., [ 4.8727e-06, -7.9647e-06, 5.4855e-07, ..., 7.4282e-06, 0.0000e+00, -1.9502e-06], [ 4.2431e-06, 3.6675e-06, 1.2182e-05, ..., 1.6317e-05, 0.0000e+00, 1.0945e-05], [ 2.9311e-05, 2.7139e-06, 8.4415e-06, ..., 1.1182e-04, 0.0000e+00, 1.2636e-04]], device='cuda:0') Epoch 95, bias, value: tensor([-0.0232, -0.0198, -0.0289, 0.0012, 0.0030, 0.0326, 0.0152, -0.0197, 0.0105, -0.0056], device='cuda:0'), grad: tensor([ 1.2733e-05, 1.6680e-06, -2.9683e-04, -1.6057e-04, 2.8849e-05, 9.7692e-05, -2.6301e-06, -2.3972e-06, 4.0472e-05, 2.8157e-04], device='cuda:0') 100 0.0001 changing lr epoch 94, time 214.09, cls_loss 0.0057 cls_loss_mapping 0.0108 cls_loss_causal 0.5485 re_mapping 0.0091 re_causal 0.0264 /// teacc 98.78 lr 0.00010000 Epoch 96, weight, value: tensor([[-0.0006, -0.0192, -0.0200, ..., -0.1143, -0.0209, -0.0611], [-0.0027, -0.0392, -0.0482, ..., 0.0078, 0.0017, -0.0777], [ 0.0417, -0.0729, -0.0496, ..., 0.0256, -0.0817, 0.0410], ..., [ 0.0127, -0.0249, -0.0796, ..., -0.0680, 0.0145, 0.0838], [ 0.0517, -0.0773, -0.0589, ..., -0.0614, -0.0217, -0.0402], [-0.1130, 0.0049, 0.0863, ..., 0.0618, -0.0330, -0.0688]], device='cuda:0'), grad: tensor([[ 4.0093e-07, 8.5821e-07, 1.2545e-06, ..., 4.3679e-07, 0.0000e+00, 3.4869e-06], [ 1.2154e-06, 3.7756e-06, -8.6948e-06, ..., -5.4762e-06, 0.0000e+00, 6.1691e-06], [-3.3289e-05, -1.1154e-05, 2.0601e-06, ..., 1.0571e-06, 0.0000e+00, -1.1092e-04], ..., [ 2.0877e-05, -2.3603e-05, 4.2357e-06, ..., 2.0880e-06, 0.0000e+00, 3.3110e-05], [ 8.3297e-06, 4.8429e-06, 4.6380e-06, ..., 2.3600e-06, 0.0000e+00, 2.5421e-05], [ 1.2303e-06, 2.6524e-06, 6.3330e-08, ..., -2.1840e-07, 0.0000e+00, 2.7139e-06]], device='cuda:0') Epoch 96, bias, value: tensor([-0.0237, -0.0191, -0.0293, 0.0009, 0.0024, 0.0332, 0.0151, -0.0194, 0.0105, -0.0061], device='cuda:0'), grad: tensor([ 6.9477e-06, -1.2398e-05, -1.9443e-04, 7.1585e-05, -4.6566e-06, -1.5028e-05, 1.8954e-05, 6.2704e-05, 5.5104e-05, 1.1139e-05], device='cuda:0') 100 0.0001 changing lr epoch 95, time 214.09, cls_loss 0.0050 cls_loss_mapping 0.0080 cls_loss_causal 0.6068 re_mapping 0.0091 re_causal 0.0270 /// teacc 98.78 lr 0.00010000 Epoch 97, weight, value: tensor([[ 2.7008e-05, -1.9431e-02, -2.0019e-02, ..., -1.1500e-01, -2.1879e-02, -6.1779e-02], [-3.1136e-03, -3.9202e-02, -4.7500e-02, ..., 8.5775e-03, 2.0387e-03, -7.8032e-02], [ 4.1612e-02, -7.3134e-02, -5.0606e-02, ..., 2.5769e-02, -8.6027e-02, 4.1686e-02], ..., [ 1.3096e-02, -2.4886e-02, -8.0500e-02, ..., -6.8003e-02, 1.4154e-02, 8.3845e-02], [ 5.2241e-02, -7.7765e-02, -5.8625e-02, ..., -6.2104e-02, -2.3918e-02, -4.0583e-02], [-1.1401e-01, 4.3534e-03, 8.5946e-02, ..., 6.1329e-02, -3.3267e-02, -6.9433e-02]], device='cuda:0'), grad: tensor([[-1.0200e-05, 4.8662e-07, 1.0869e-06, ..., 1.4855e-06, 6.0536e-09, 1.2340e-07], [ 8.8708e-07, 1.8943e-06, -3.4627e-06, ..., -4.5709e-06, -3.0641e-07, 1.6037e-06], [ 1.4603e-06, 1.0077e-06, 1.5991e-06, ..., 1.8366e-06, 5.6345e-08, 9.2061e-07], ..., [ 6.0769e-07, 3.1292e-06, 1.0200e-05, ..., 1.3500e-05, 1.2713e-07, -7.4133e-07], [-4.9584e-06, 1.4529e-06, 2.7772e-06, ..., 4.9137e-06, 2.3749e-08, 7.7207e-07], [ 2.6096e-06, -1.7509e-05, -3.3200e-05, ..., -4.4286e-05, 2.2352e-08, -1.8021e-07]], device='cuda:0') Epoch 97, bias, value: tensor([-0.0227, -0.0189, -0.0290, 0.0010, 0.0024, 0.0328, 0.0147, -0.0191, 0.0108, -0.0073], device='cuda:0'), grad: tensor([-2.0981e-05, -5.7742e-06, 8.2627e-06, 3.6024e-06, 2.1800e-05, 1.7524e-05, 7.2010e-06, 1.9059e-05, -6.3591e-06, -4.4495e-05], device='cuda:0') 100 0.0001 changing lr epoch 96, time 214.13, cls_loss 0.0041 cls_loss_mapping 0.0087 cls_loss_causal 0.5779 re_mapping 0.0092 re_causal 0.0273 /// teacc 98.82 lr 0.00010000 Epoch 98, weight, value: tensor([[ 0.0003, -0.0200, -0.0212, ..., -0.1172, -0.0222, -0.0625], [-0.0039, -0.0393, -0.0478, ..., 0.0084, 0.0026, -0.0781], [ 0.0415, -0.0737, -0.0513, ..., 0.0258, -0.0867, 0.0416], ..., [ 0.0135, -0.0256, -0.0819, ..., -0.0694, 0.0136, 0.0841], [ 0.0529, -0.0783, -0.0590, ..., -0.0629, -0.0240, -0.0408], [-0.1144, 0.0064, 0.0873, ..., 0.0632, -0.0333, -0.0699]], device='cuda:0'), grad: tensor([[ 1.0571e-06, 2.1197e-06, 3.8054e-06, ..., 3.6377e-06, 0.0000e+00, 2.1085e-06], [ 1.9483e-06, 7.8753e-06, -2.1756e-06, ..., 9.1083e-07, 1.1642e-09, 7.0296e-06], [ 2.6096e-06, 3.3192e-06, 3.7234e-06, ..., 3.4682e-06, 2.3283e-10, -4.9531e-05], ..., [-9.5427e-05, -1.4818e-04, 2.9821e-06, ..., -1.8942e-04, -3.7253e-09, -9.9987e-06], [ 1.3737e-06, 6.6459e-06, 1.4137e-06, ..., 1.1481e-05, 2.3283e-10, 1.0841e-05], [ 9.9361e-05, 1.5223e-04, -2.1644e-06, ..., 1.9944e-04, 9.3132e-10, 3.4779e-05]], device='cuda:0') Epoch 98, bias, value: tensor([-0.0231, -0.0188, -0.0297, 0.0017, 0.0022, 0.0320, 0.0145, -0.0196, 0.0111, -0.0058], device='cuda:0'), grad: tensor([ 8.7246e-06, 2.2322e-05, -4.8816e-05, 9.6416e-04, 5.1335e-06, -1.0462e-03, 1.0826e-05, -7.1669e-04, 3.7253e-05, 7.6246e-04], device='cuda:0') 100 0.0001 changing lr epoch 97, time 214.14, cls_loss 0.0037 cls_loss_mapping 0.0078 cls_loss_causal 0.5835 re_mapping 0.0091 re_causal 0.0262 /// teacc 98.83 lr 0.00010000 Epoch 99, weight, value: tensor([[ 0.0006, -0.0202, -0.0213, ..., -0.1173, -0.0226, -0.0629], [-0.0041, -0.0396, -0.0468, ..., 0.0097, 0.0025, -0.0783], [ 0.0415, -0.0748, -0.0521, ..., 0.0257, -0.0871, 0.0419], ..., [ 0.0133, -0.0257, -0.0830, ..., -0.0704, 0.0137, 0.0842], [ 0.0532, -0.0783, -0.0591, ..., -0.0637, -0.0242, -0.0411], [-0.1150, 0.0065, 0.0875, ..., 0.0634, -0.0336, -0.0706]], device='cuda:0'), grad: tensor([[-3.2842e-05, 1.1744e-06, 1.9446e-06, ..., -7.9721e-06, 1.7229e-08, -3.9227e-06], [ 2.9076e-06, 8.7684e-07, -1.0274e-05, ..., -1.4357e-05, -6.5146e-07, 4.6082e-06], [ 1.4149e-05, 7.6508e-07, 3.6042e-06, ..., 7.7188e-06, 1.4156e-07, -4.1462e-06], ..., [ 2.1067e-06, 4.7684e-06, 1.4365e-05, ..., 2.8148e-05, 2.6636e-07, 1.4920e-06], [-2.0638e-05, 2.1793e-06, 4.1984e-06, ..., 1.3195e-05, 7.1712e-08, 7.5363e-06], [ 2.2784e-05, -9.6738e-05, -1.4400e-04, ..., -3.0160e-04, 3.6787e-08, 5.9642e-06]], device='cuda:0') Epoch 99, bias, value: tensor([-0.0228, -0.0184, -0.0299, 0.0018, 0.0023, 0.0326, 0.0139, -0.0203, 0.0118, -0.0062], device='cuda:0'), grad: tensor([-1.1879e-04, -2.3246e-05, 8.7857e-05, 1.1772e-05, 2.0897e-04, 9.0301e-05, 2.4259e-05, 5.1349e-05, -1.1146e-04, -2.2042e-04], device='cuda:0') 100 0.0001 changing lr epoch 98, time 214.05, cls_loss 0.0037 cls_loss_mapping 0.0084 cls_loss_causal 0.5821 re_mapping 0.0084 re_causal 0.0262 /// teacc 98.85 lr 0.00010000 Epoch 100, weight, value: tensor([[ 0.0006, -0.0208, -0.0222, ..., -0.1184, -0.0228, -0.0644], [-0.0045, -0.0397, -0.0466, ..., 0.0102, 0.0025, -0.0786], [ 0.0419, -0.0748, -0.0526, ..., 0.0255, -0.0875, 0.0425], ..., [ 0.0130, -0.0258, -0.0838, ..., -0.0713, 0.0137, 0.0842], [ 0.0530, -0.0790, -0.0596, ..., -0.0649, -0.0250, -0.0415], [-0.1158, 0.0071, 0.0882, ..., 0.0645, -0.0336, -0.0713]], device='cuda:0'), grad: tensor([[ 6.7055e-06, 7.5363e-06, 7.0155e-05, ..., 5.5134e-05, 1.2573e-08, 2.6543e-07], [ 2.4699e-06, 6.8592e-07, 1.4281e-04, ..., 6.9022e-05, -6.0536e-08, 7.5921e-06], [-1.6065e-07, 1.0515e-06, 6.1877e-06, ..., 4.4480e-06, 8.9873e-08, -6.8285e-06], ..., [ 6.5565e-07, -9.2527e-07, 1.0967e-05, ..., 8.0392e-06, -3.1665e-07, -1.7555e-06], [ 8.9109e-06, 9.3738e-07, 2.8849e-05, ..., 1.3687e-05, 2.8871e-08, 3.0827e-07], [ 1.9725e-06, -9.9689e-06, -5.2035e-05, ..., -5.1200e-05, 5.3551e-08, 3.6461e-07]], device='cuda:0') Epoch 100, bias, value: tensor([-0.0234, -0.0183, -0.0297, 0.0018, 0.0020, 0.0333, 0.0130, -0.0205, 0.0115, -0.0055], device='cuda:0'), grad: tensor([ 1.5783e-04, 1.5676e-04, 3.8184e-08, 6.6534e-06, -1.6844e-04, -4.0323e-05, -1.1243e-05, 1.6466e-05, 3.0994e-05, -1.4853e-04], device='cuda:0') 100 0.0001 changing lr epoch 99, time 214.11, cls_loss 0.0047 cls_loss_mapping 0.0106 cls_loss_causal 0.5720 re_mapping 0.0089 re_causal 0.0263 /// teacc 98.92 lr 0.00010000 Epoch 101, weight, value: tensor([[ 0.0006, -0.0211, -0.0240, ..., -0.1188, -0.0229, -0.0651], [-0.0051, -0.0399, -0.0466, ..., 0.0106, 0.0025, -0.0787], [ 0.0415, -0.0755, -0.0541, ..., 0.0251, -0.0884, 0.0426], ..., [ 0.0129, -0.0256, -0.0842, ..., -0.0717, 0.0137, 0.0845], [ 0.0530, -0.0781, -0.0597, ..., -0.0658, -0.0256, -0.0413], [-0.1146, 0.0071, 0.0887, ..., 0.0648, -0.0337, -0.0719]], device='cuda:0'), grad: tensor([[ 5.5917e-06, 1.5795e-06, 6.9588e-06, ..., 2.9337e-06, 7.2597e-07, 3.3118e-06], [ 4.5188e-06, 5.6513e-06, 2.8685e-06, ..., 1.7677e-06, 2.5574e-06, 1.5959e-05], [-5.4508e-05, -4.9353e-05, 5.1595e-06, ..., 3.1423e-06, 2.7493e-06, -2.8014e-04], ..., [ 5.1796e-05, 3.9577e-05, 7.0892e-06, ..., 7.1637e-06, -8.5607e-06, 2.3437e-04], [ 1.7548e-04, 5.0926e-04, 5.0485e-05, ..., 2.7820e-05, 9.2480e-07, 3.3379e-04], [ 9.0823e-06, 4.3921e-06, 6.1274e-05, ..., 6.3598e-05, 1.8207e-06, 5.2713e-06]], device='cuda:0') Epoch 101, bias, value: tensor([-0.0246, -0.0183, -0.0302, 0.0012, 0.0021, 0.0336, 0.0128, -0.0212, 0.0129, -0.0045], device='cuda:0'), grad: tensor([ 2.0325e-05, 3.8952e-05, -5.8603e-04, -1.6050e-03, -1.1790e-04, 1.1808e-04, -3.3975e-04, 5.2738e-04, 1.8167e-03, 1.2863e-04], device='cuda:0') 100 0.0001 changing lr epoch 100, time 214.17, cls_loss 0.0037 cls_loss_mapping 0.0087 cls_loss_causal 0.5837 re_mapping 0.0089 re_causal 0.0260 /// teacc 98.93 lr 0.00010000 Epoch 102, weight, value: tensor([[-0.0011, -0.0213, -0.0244, ..., -0.1194, -0.0236, -0.0656], [-0.0053, -0.0402, -0.0464, ..., 0.0109, 0.0027, -0.0793], [ 0.0414, -0.0760, -0.0549, ..., 0.0247, -0.0900, 0.0424], ..., [ 0.0129, -0.0252, -0.0847, ..., -0.0722, 0.0137, 0.0854], [ 0.0524, -0.0787, -0.0607, ..., -0.0669, -0.0265, -0.0420], [-0.1153, 0.0075, 0.0892, ..., 0.0653, -0.0342, -0.0726]], device='cuda:0'), grad: tensor([[-1.7677e-06, 1.1688e-07, 5.5367e-07, ..., 6.6217e-07, 2.3283e-09, 3.7719e-07], [ 3.4692e-07, 3.1246e-07, -7.8324e-07, ..., -1.0068e-06, 4.6566e-10, 2.4065e-06], [-1.8664e-06, -8.8336e-07, 6.4541e-07, ..., 3.8883e-07, 0.0000e+00, -8.6799e-06], ..., [ 1.7509e-07, -6.6031e-07, 6.3330e-07, ..., 7.8278e-07, 1.3970e-09, 2.4848e-06], [ 3.8054e-06, 2.8312e-07, 3.3975e-05, ..., 3.9339e-05, 5.5879e-09, 4.1202e-06], [-7.2643e-06, 1.3830e-07, -4.9740e-05, ..., -5.7638e-05, 5.5879e-09, -4.4778e-06]], device='cuda:0') Epoch 102, bias, value: tensor([-0.0255, -0.0184, -0.0304, 0.0013, 0.0019, 0.0336, 0.0152, -0.0208, 0.0121, -0.0046], device='cuda:0'), grad: tensor([-2.1122e-06, 1.0114e-06, -1.2495e-05, 6.2697e-06, 1.8567e-05, 7.0594e-06, 3.9861e-06, 3.0044e-06, 5.0217e-05, -7.5400e-05], device='cuda:0') 100 0.0001 changing lr epoch 101, time 214.43, cls_loss 0.0038 cls_loss_mapping 0.0068 cls_loss_causal 0.5816 re_mapping 0.0086 re_causal 0.0245 /// teacc 98.72 lr 0.00010000 Epoch 103, weight, value: tensor([[-0.0004, -0.0216, -0.0246, ..., -0.1194, -0.0243, -0.0667], [-0.0056, -0.0409, -0.0463, ..., 0.0111, 0.0028, -0.0797], [ 0.0412, -0.0762, -0.0559, ..., 0.0246, -0.0913, 0.0428], ..., [ 0.0126, -0.0245, -0.0847, ..., -0.0724, 0.0137, 0.0859], [ 0.0525, -0.0792, -0.0612, ..., -0.0675, -0.0281, -0.0426], [-0.1162, 0.0075, 0.0894, ..., 0.0655, -0.0347, -0.0736]], device='cuda:0'), grad: tensor([[-2.8744e-05, 3.5064e-07, -1.3337e-05, ..., 9.5321e-07, 1.9092e-08, 6.4308e-07], [ 3.0510e-06, 1.6997e-06, 1.4063e-07, ..., -2.1346e-06, -8.2189e-07, 3.9376e-06], [ 2.9057e-06, 7.8278e-07, 2.7847e-06, ..., 9.0105e-07, 9.9652e-08, -1.7524e-05], ..., [ 2.0768e-06, 7.6070e-06, 1.3098e-05, ..., 9.2760e-06, 3.5064e-07, 8.3074e-06], [ 3.0816e-05, 1.6578e-06, -9.1735e-08, ..., 3.8564e-05, 1.0896e-07, -2.9877e-06], [ 1.1340e-05, 1.3672e-05, 1.7062e-05, ..., 1.3016e-05, 6.0536e-08, 2.2706e-06]], device='cuda:0') Epoch 103, bias, value: tensor([-0.0250, -0.0192, -0.0302, 0.0011, 0.0016, 0.0330, 0.0159, -0.0200, 0.0122, -0.0050], device='cuda:0'), grad: tensor([-1.1557e-04, 9.6634e-06, -5.9828e-06, 7.5758e-05, -5.4777e-05, -1.0335e-04, 2.6003e-05, 3.9488e-05, 5.9634e-05, 6.9201e-05], device='cuda:0') 100 0.0001 changing lr epoch 102, time 214.27, cls_loss 0.0039 cls_loss_mapping 0.0069 cls_loss_causal 0.5809 re_mapping 0.0086 re_causal 0.0256 /// teacc 98.76 lr 0.00010000 Epoch 104, weight, value: tensor([[-0.0002, -0.0219, -0.0249, ..., -0.1196, -0.0247, -0.0674], [-0.0060, -0.0413, -0.0470, ..., 0.0108, 0.0029, -0.0798], [ 0.0413, -0.0767, -0.0560, ..., 0.0249, -0.0920, 0.0429], ..., [ 0.0124, -0.0237, -0.0853, ..., -0.0729, 0.0136, 0.0868], [ 0.0533, -0.0795, -0.0616, ..., -0.0680, -0.0284, -0.0430], [-0.1167, 0.0074, 0.0895, ..., 0.0652, -0.0348, -0.0744]], device='cuda:0'), grad: tensor([[-1.8515e-06, 1.1828e-07, 3.1851e-07, ..., 9.0804e-07, 4.1910e-09, 1.5460e-07], [-1.6810e-06, 5.9791e-07, -7.1302e-06, ..., -3.9697e-05, -1.9651e-07, 8.1584e-07], [ 8.4424e-07, 5.0152e-07, 7.6881e-07, ..., 2.8461e-06, 5.4948e-08, -8.0513e-07], ..., [ 2.2771e-07, 6.3004e-07, 5.7332e-06, ..., 1.0580e-05, 8.2422e-08, -2.1122e-06], [ 6.0629e-07, 5.4343e-07, 1.9968e-06, ..., 8.5160e-06, 7.4506e-09, 2.6682e-07], [ 9.6112e-07, -1.1139e-05, -2.2650e-05, ..., -2.8431e-05, 7.4506e-09, 4.1770e-07]], device='cuda:0') Epoch 104, bias, value: tensor([-0.0250, -0.0194, -0.0300, 0.0005, 0.0018, 0.0331, 0.0165, -0.0199, 0.0123, -0.0055], device='cuda:0'), grad: tensor([-3.1181e-06, -8.8811e-05, 8.3894e-06, 7.0482e-06, 4.5180e-05, 2.4065e-05, 9.9316e-06, 1.2964e-05, 1.9390e-06, -1.7583e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 103---------------------------------------------------- epoch 103, time 230.17, cls_loss 0.0033 cls_loss_mapping 0.0063 cls_loss_causal 0.5784 re_mapping 0.0083 re_causal 0.0253 /// teacc 98.98 lr 0.00010000 Epoch 105, weight, value: tensor([[-0.0002, -0.0226, -0.0253, ..., -0.1204, -0.0253, -0.0677], [-0.0061, -0.0414, -0.0465, ..., 0.0112, 0.0033, -0.0801], [ 0.0412, -0.0773, -0.0565, ..., 0.0254, -0.0939, 0.0432], ..., [ 0.0124, -0.0237, -0.0861, ..., -0.0728, 0.0135, 0.0871], [ 0.0536, -0.0797, -0.0617, ..., -0.0686, -0.0298, -0.0433], [-0.1170, 0.0080, 0.0897, ..., 0.0655, -0.0355, -0.0748]], device='cuda:0'), grad: tensor([[-4.6194e-06, 1.6345e-07, 6.7800e-07, ..., 1.8897e-06, 1.3970e-08, 1.7369e-07], [ 1.5553e-06, 1.2675e-06, -2.4997e-06, ..., -1.4482e-06, 1.0058e-07, 1.2526e-06], [ 1.2591e-06, 7.6974e-07, 8.4192e-07, ..., 2.0489e-06, 5.9605e-08, 2.3469e-07], ..., [ 9.3179e-07, -2.5611e-06, 2.2799e-06, ..., 6.5416e-06, -8.3027e-07, -2.9635e-06], [ 5.0515e-06, 1.1176e-06, 1.3160e-06, ..., 9.5889e-06, 1.0990e-07, 7.6508e-07], [ 2.3302e-06, 3.4785e-07, -1.0831e-06, ..., 4.2981e-07, 3.8370e-07, 1.2424e-06]], device='cuda:0') Epoch 105, bias, value: tensor([-0.0252, -0.0190, -0.0300, 0.0002, 0.0014, 0.0327, 0.0165, -0.0199, 0.0126, -0.0054], device='cuda:0'), grad: tensor([-5.7891e-06, -1.1459e-05, 8.3223e-06, 2.4378e-04, 7.5903e-07, -7.8154e-04, 5.0020e-04, 1.4126e-05, 2.2233e-05, 9.2760e-06], device='cuda:0') 100 0.0001 changing lr epoch 104, time 214.09, cls_loss 0.0031 cls_loss_mapping 0.0069 cls_loss_causal 0.5849 re_mapping 0.0083 re_causal 0.0262 /// teacc 98.88 lr 0.00010000 Epoch 106, weight, value: tensor([[ 0.0002, -0.0228, -0.0260, ..., -0.1208, -0.0262, -0.0682], [-0.0063, -0.0414, -0.0460, ..., 0.0117, 0.0034, -0.0802], [ 0.0411, -0.0774, -0.0569, ..., 0.0252, -0.0970, 0.0434], ..., [ 0.0119, -0.0237, -0.0872, ..., -0.0740, 0.0141, 0.0873], [ 0.0544, -0.0799, -0.0625, ..., -0.0701, -0.0321, -0.0436], [-0.1174, 0.0078, 0.0889, ..., 0.0648, -0.0383, -0.0761]], device='cuda:0'), grad: tensor([[ 2.0023e-07, 1.0245e-07, 1.0887e-06, ..., 8.3121e-07, 3.7253e-09, 1.8021e-07], [ 5.1036e-07, 1.6289e-06, -2.3600e-06, ..., -1.8338e-06, -1.9092e-08, 2.4550e-06], [ 7.7765e-08, 2.9430e-07, 1.4845e-06, ..., 9.8813e-07, 9.7789e-09, -9.5461e-07], ..., [ 6.5146e-07, -3.5204e-06, 1.9502e-06, ..., 2.1607e-06, -8.9407e-08, -4.5411e-06], [ 6.3553e-06, 4.2049e-07, 4.4517e-06, ..., 1.0826e-05, 1.5832e-08, 7.3761e-07], [ 1.3314e-05, 6.8685e-07, 4.1537e-06, ..., 1.9431e-05, 5.3551e-08, 1.9055e-06]], device='cuda:0') Epoch 106, bias, value: tensor([-0.0250, -0.0186, -0.0302, 0.0002, 0.0028, 0.0323, 0.0163, -0.0203, 0.0129, -0.0062], device='cuda:0'), grad: tensor([ 1.7518e-06, -5.9605e-06, 4.9323e-06, 1.3355e-06, 5.8934e-06, -4.6819e-05, -6.8918e-06, -3.1274e-06, 1.7658e-05, 3.1203e-05], device='cuda:0') 100 0.0001 changing lr epoch 105, time 214.09, cls_loss 0.0039 cls_loss_mapping 0.0062 cls_loss_causal 0.5789 re_mapping 0.0086 re_causal 0.0249 /// teacc 98.93 lr 0.00010000 Epoch 107, weight, value: tensor([[ 0.0004, -0.0231, -0.0266, ..., -0.1218, -0.0285, -0.0686], [-0.0069, -0.0416, -0.0466, ..., 0.0115, 0.0035, -0.0807], [ 0.0412, -0.0778, -0.0574, ..., 0.0251, -0.0999, 0.0438], ..., [ 0.0123, -0.0236, -0.0876, ..., -0.0743, 0.0149, 0.0881], [ 0.0543, -0.0802, -0.0633, ..., -0.0710, -0.0330, -0.0443], [-0.1177, 0.0082, 0.0900, ..., 0.0654, -0.0401, -0.0773]], device='cuda:0'), grad: tensor([[-2.1249e-05, 6.2911e-07, 5.0245e-07, ..., 5.6066e-07, 2.3283e-08, 3.3434e-07], [ 1.6978e-06, 8.0764e-06, 3.6862e-06, ..., 2.8089e-06, 3.4459e-08, 4.1574e-06], [ 1.3784e-06, 1.5609e-06, 5.8347e-07, ..., 6.6496e-07, 1.2573e-08, 1.4976e-06], ..., [ 9.2201e-07, -3.0957e-06, 8.6054e-07, ..., 1.1297e-06, 3.5390e-08, -7.1637e-06], [ 7.0967e-06, 1.0140e-05, 5.7295e-06, ..., 7.9721e-06, 1.6065e-07, 4.3064e-06], [ 6.0312e-06, 1.7941e-05, 7.7710e-06, ..., 5.1185e-06, 1.9558e-08, 8.3223e-06]], device='cuda:0') Epoch 107, bias, value: tensor([-0.0250, -0.0191, -0.0299, 0.0001, 0.0021, 0.0329, 0.0163, -0.0199, 0.0124, -0.0057], device='cuda:0'), grad: tensor([-3.9577e-05, 3.0756e-05, 7.4580e-06, -1.3208e-04, 2.0787e-06, 3.7085e-06, 7.6108e-06, -5.1633e-06, 4.9800e-05, 7.5459e-05], device='cuda:0') 100 0.0001 changing lr epoch 106, time 214.25, cls_loss 0.0033 cls_loss_mapping 0.0072 cls_loss_causal 0.5680 re_mapping 0.0081 re_causal 0.0241 /// teacc 98.97 lr 0.00010000 Epoch 108, weight, value: tensor([[ 0.0008, -0.0232, -0.0270, ..., -0.1224, -0.0292, -0.0688], [-0.0074, -0.0416, -0.0468, ..., 0.0111, 0.0035, -0.0811], [ 0.0414, -0.0783, -0.0579, ..., 0.0259, -0.1003, 0.0445], ..., [ 0.0123, -0.0238, -0.0882, ..., -0.0743, 0.0149, 0.0881], [ 0.0541, -0.0805, -0.0641, ..., -0.0719, -0.0336, -0.0450], [-0.1178, 0.0083, 0.0905, ..., 0.0659, -0.0403, -0.0781]], device='cuda:0'), grad: tensor([[ 6.1989e-06, 1.4808e-06, 5.1968e-06, ..., 2.2026e-07, 0.0000e+00, 1.5721e-06], [ 7.0333e-06, 1.9148e-06, 1.3104e-06, ..., -2.3982e-07, 0.0000e+00, 1.1101e-05], [-1.1034e-05, 7.9349e-07, 1.1185e-06, ..., 1.7369e-07, 0.0000e+00, -2.1711e-05], ..., [-6.3190e-07, -7.4394e-06, 1.4035e-06, ..., 1.2536e-06, 0.0000e+00, -7.0892e-06], [ 6.4522e-06, 8.5123e-07, 6.4932e-06, ..., 8.9826e-07, 0.0000e+00, 5.2676e-06], [ 2.2296e-06, 1.7323e-07, -2.5332e-07, ..., -1.5711e-06, 0.0000e+00, 9.4576e-07]], device='cuda:0') Epoch 108, bias, value: tensor([-0.0248, -0.0192, -0.0294, 0.0007, 0.0021, 0.0324, 0.0160, -0.0199, 0.0119, -0.0056], device='cuda:0'), grad: tensor([ 1.2405e-05, 3.9369e-05, -6.5327e-05, 9.2462e-06, -5.7697e-05, 6.9439e-06, 2.8804e-05, -9.5963e-06, 2.9087e-05, 6.6645e-06], device='cuda:0') 100 0.0001 changing lr epoch 107, time 213.81, cls_loss 0.0027 cls_loss_mapping 0.0065 cls_loss_causal 0.5698 re_mapping 0.0078 re_causal 0.0237 /// teacc 98.91 lr 0.00010000 Epoch 109, weight, value: tensor([[ 0.0011, -0.0234, -0.0273, ..., -0.1229, -0.0293, -0.0691], [-0.0078, -0.0418, -0.0466, ..., 0.0114, 0.0033, -0.0814], [ 0.0412, -0.0789, -0.0584, ..., 0.0256, -0.1005, 0.0443], ..., [ 0.0125, -0.0233, -0.0888, ..., -0.0748, 0.0151, 0.0887], [ 0.0541, -0.0809, -0.0652, ..., -0.0729, -0.0341, -0.0456], [-0.1182, 0.0083, 0.0909, ..., 0.0664, -0.0403, -0.0788]], device='cuda:0'), grad: tensor([[ 3.0119e-06, 6.6590e-07, 1.6153e-04, ..., 1.1593e-04, 0.0000e+00, 3.9525e-06], [ 2.3935e-06, 9.8273e-06, 5.3681e-06, ..., -1.9372e-07, 0.0000e+00, 1.9401e-05], [-1.6081e-04, 2.9476e-07, 4.0792e-06, ..., 3.1870e-06, 0.0000e+00, -7.5638e-05], ..., [ 2.0619e-06, -9.8869e-06, -2.3711e-06, ..., 4.0568e-06, 0.0000e+00, -1.7449e-05], [ 1.1820e-04, 3.4180e-06, 3.3807e-07, ..., 6.7540e-06, 0.0000e+00, 7.5340e-05], [ 2.4773e-06, 1.1791e-06, -1.6165e-04, ..., -1.0830e-04, 0.0000e+00, 3.4943e-06]], device='cuda:0') Epoch 109, bias, value: tensor([-0.0246, -0.0191, -0.0300, 0.0004, 0.0021, 0.0321, 0.0164, -0.0197, 0.0117, -0.0054], device='cuda:0'), grad: tensor([ 3.5572e-04, 5.1379e-05, -3.7527e-04, 9.5591e-06, -7.3537e-06, -3.0875e-05, 6.3658e-05, -3.5971e-05, 3.1257e-04, -3.4428e-04], device='cuda:0') 100 0.0001 changing lr epoch 108, time 214.10, cls_loss 0.0030 cls_loss_mapping 0.0073 cls_loss_causal 0.5551 re_mapping 0.0080 re_causal 0.0242 /// teacc 98.78 lr 0.00010000 Epoch 110, weight, value: tensor([[ 0.0016, -0.0234, -0.0279, ..., -0.1242, -0.0296, -0.0696], [-0.0082, -0.0419, -0.0465, ..., 0.0119, 0.0033, -0.0817], [ 0.0416, -0.0790, -0.0591, ..., 0.0251, -0.1008, 0.0448], ..., [ 0.0124, -0.0231, -0.0891, ..., -0.0755, 0.0151, 0.0890], [ 0.0543, -0.0810, -0.0654, ..., -0.0734, -0.0342, -0.0460], [-0.1184, 0.0081, 0.0901, ..., 0.0656, -0.0403, -0.0795]], device='cuda:0'), grad: tensor([[-2.3525e-06, 7.0641e-07, 7.2177e-07, ..., 2.1122e-06, 0.0000e+00, 2.5984e-06], [ 3.3015e-07, 8.4285e-07, -1.9595e-05, ..., -2.2441e-05, 0.0000e+00, 1.1167e-06], [ 6.4028e-07, 2.3115e-06, 5.8226e-06, ..., 8.3074e-06, 0.0000e+00, 5.8636e-06], ..., [ 4.5775e-07, 1.8617e-06, 7.5363e-06, ..., 1.0744e-05, 0.0000e+00, 6.3609e-07], [ 1.8897e-06, 1.9409e-06, 2.3842e-06, ..., 1.6227e-05, 0.0000e+00, 3.3360e-06], [ 5.6736e-06, -1.4409e-05, -4.0144e-05, ..., -2.5496e-05, 0.0000e+00, 4.5076e-06]], device='cuda:0') Epoch 110, bias, value: tensor([-0.0247, -0.0191, -0.0298, 0.0009, 0.0035, 0.0316, 0.0159, -0.0198, 0.0118, -0.0062], device='cuda:0'), grad: tensor([ 4.5914e-07, -4.5121e-05, 2.6137e-05, 2.9027e-05, 6.5267e-05, -1.0717e-04, 5.8338e-06, 1.9684e-05, 2.5809e-05, -1.9908e-05], device='cuda:0') 100 0.0001 changing lr epoch 109, time 213.91, cls_loss 0.0041 cls_loss_mapping 0.0080 cls_loss_causal 0.6073 re_mapping 0.0081 re_causal 0.0249 /// teacc 98.80 lr 0.00010000 Epoch 111, weight, value: tensor([[ 0.0018, -0.0238, -0.0283, ..., -0.1251, -0.0296, -0.0702], [-0.0084, -0.0421, -0.0459, ..., 0.0128, 0.0033, -0.0821], [ 0.0413, -0.0797, -0.0601, ..., 0.0241, -0.1008, 0.0446], ..., [ 0.0129, -0.0228, -0.0898, ..., -0.0760, 0.0151, 0.0905], [ 0.0542, -0.0814, -0.0655, ..., -0.0739, -0.0342, -0.0477], [-0.1190, 0.0087, 0.0903, ..., 0.0661, -0.0403, -0.0806]], device='cuda:0'), grad: tensor([[ 2.4274e-05, 3.4183e-05, 7.3433e-05, ..., 7.3910e-06, 4.6566e-10, 1.1874e-06], [-4.8965e-05, 7.5102e-05, 4.7207e-05, ..., -1.7896e-05, 0.0000e+00, 2.9113e-06], [ 6.3293e-06, 7.9647e-06, 1.0952e-05, ..., 7.9200e-06, 0.0000e+00, -3.1907e-06], ..., [ 2.3786e-06, 3.1924e-04, 2.7013e-04, ..., 2.7537e-04, 9.3132e-10, 5.0515e-06], [-3.2604e-05, -3.5226e-05, -5.0783e-05, ..., 1.2212e-05, 5.1223e-09, -1.2726e-05], [ 1.1295e-05, -4.4298e-04, -3.7003e-04, ..., -3.7336e-04, 4.6566e-10, -6.6794e-06]], device='cuda:0') Epoch 111, bias, value: tensor([-0.0246, -0.0186, -0.0308, 0.0008, 0.0029, 0.0319, 0.0157, -0.0191, 0.0115, -0.0062], device='cuda:0'), grad: tensor([ 1.3471e-04, -8.6334e-07, 3.2723e-05, 1.8048e-04, 1.1235e-04, 5.7101e-05, -2.1473e-05, 8.3733e-04, -2.1839e-04, -1.1139e-03], device='cuda:0') 100 0.0001 changing lr epoch 110, time 214.08, cls_loss 0.0029 cls_loss_mapping 0.0058 cls_loss_causal 0.5760 re_mapping 0.0081 re_causal 0.0249 /// teacc 98.86 lr 0.00010000 Epoch 112, weight, value: tensor([[ 0.0019, -0.0244, -0.0285, ..., -0.1263, -0.0296, -0.0708], [-0.0083, -0.0422, -0.0457, ..., 0.0131, 0.0033, -0.0819], [ 0.0414, -0.0804, -0.0607, ..., 0.0241, -0.1008, 0.0447], ..., [ 0.0127, -0.0226, -0.0904, ..., -0.0763, 0.0151, 0.0908], [ 0.0542, -0.0818, -0.0654, ..., -0.0741, -0.0342, -0.0482], [-0.1198, 0.0085, 0.0901, ..., 0.0659, -0.0403, -0.0814]], device='cuda:0'), grad: tensor([[-3.8706e-06, 7.4971e-08, 8.6613e-08, ..., 2.0163e-07, 5.1223e-09, 2.0489e-07], [ 2.4233e-06, 2.2817e-06, -3.3453e-06, ..., -1.6559e-06, 1.3970e-09, 6.3702e-06], [ 1.2226e-05, 1.1466e-05, 1.5264e-06, ..., 7.1013e-07, 1.3970e-09, 3.0756e-05], ..., [-1.4961e-05, -1.5318e-05, 8.1910e-07, ..., 8.2888e-07, 5.5879e-09, -4.2468e-05], [ 5.0515e-06, 1.4929e-06, 1.5348e-06, ..., 4.5784e-06, 2.5146e-08, 3.7029e-06], [ 1.2200e-06, -1.4789e-06, -3.6955e-06, ..., -2.3190e-06, 1.7229e-08, 2.1514e-07]], device='cuda:0') Epoch 112, bias, value: tensor([-0.0246, -0.0182, -0.0311, 0.0011, 0.0033, 0.0316, 0.0158, -0.0191, 0.0115, -0.0067], device='cuda:0'), grad: tensor([-6.5267e-06, -1.7621e-06, 6.0111e-05, 2.1011e-06, 5.4315e-06, -8.8885e-06, 1.8366e-06, -6.9797e-05, 1.8224e-05, -8.2096e-07], device='cuda:0') 100 0.0001 changing lr epoch 111, time 214.12, cls_loss 0.0036 cls_loss_mapping 0.0070 cls_loss_causal 0.5455 re_mapping 0.0082 re_causal 0.0240 /// teacc 98.86 lr 0.00010000 Epoch 113, weight, value: tensor([[ 0.0020, -0.0246, -0.0287, ..., -0.1271, -0.0302, -0.0714], [-0.0088, -0.0424, -0.0456, ..., 0.0132, 0.0034, -0.0823], [ 0.0415, -0.0786, -0.0593, ..., 0.0253, -0.1012, 0.0460], ..., [ 0.0127, -0.0230, -0.0922, ..., -0.0777, 0.0151, 0.0909], [ 0.0546, -0.0821, -0.0654, ..., -0.0750, -0.0344, -0.0486], [-0.1207, 0.0092, 0.0911, ..., 0.0668, -0.0403, -0.0828]], device='cuda:0'), grad: tensor([[-1.1288e-06, 7.7765e-08, 1.8850e-05, ..., 6.7465e-06, 0.0000e+00, 3.1991e-07], [ 9.2993e-07, 2.7165e-05, 4.0419e-06, ..., 2.7996e-06, 0.0000e+00, 3.2514e-05], [ 5.6904e-07, 3.8603e-07, 5.9940e-06, ..., 2.5164e-06, 0.0000e+00, -2.5686e-06], ..., [-2.8266e-07, -3.4124e-05, 4.6641e-06, ..., 3.0063e-06, 0.0000e+00, -4.1068e-05], [-2.2613e-06, 3.7625e-06, 2.6934e-06, ..., 3.9265e-06, 0.0000e+00, 2.0154e-06], [ 5.2527e-06, -1.9763e-06, 2.4527e-05, ..., 1.2498e-06, 0.0000e+00, 1.7313e-06]], device='cuda:0') Epoch 113, bias, value: tensor([-0.0247, -0.0184, -0.0300, 0.0010, 0.0021, 0.0329, 0.0153, -0.0196, 0.0118, -0.0061], device='cuda:0'), grad: tensor([ 2.8417e-05, 8.4937e-05, 8.9109e-06, 1.7136e-05, -1.2231e-04, -2.7101e-06, 1.8671e-05, -8.8990e-05, -1.3098e-05, 6.8784e-05], device='cuda:0') 100 0.0001 changing lr epoch 112, time 214.19, cls_loss 0.0030 cls_loss_mapping 0.0062 cls_loss_causal 0.5819 re_mapping 0.0083 re_causal 0.0247 /// teacc 98.92 lr 0.00010000 Epoch 114, weight, value: tensor([[ 0.0023, -0.0253, -0.0293, ..., -0.1276, -0.0308, -0.0722], [-0.0084, -0.0425, -0.0449, ..., 0.0139, 0.0034, -0.0823], [ 0.0412, -0.0790, -0.0598, ..., 0.0252, -0.1013, 0.0459], ..., [ 0.0125, -0.0227, -0.0927, ..., -0.0781, 0.0151, 0.0916], [ 0.0544, -0.0824, -0.0659, ..., -0.0761, -0.0345, -0.0491], [-0.1213, 0.0091, 0.0909, ..., 0.0665, -0.0403, -0.0833]], device='cuda:0'), grad: tensor([[ 1.0226e-06, 2.3982e-07, 1.2610e-06, ..., 1.2685e-06, 0.0000e+00, 3.1758e-07], [ 7.1013e-07, 6.9570e-07, 1.6578e-07, ..., -4.3120e-07, 0.0000e+00, 1.1772e-06], [ 5.8822e-06, 5.3570e-06, 3.1106e-06, ..., 2.3600e-06, 0.0000e+00, 1.0423e-05], ..., [-5.4315e-06, -1.0103e-05, 1.8775e-06, ..., 1.7956e-06, 0.0000e+00, -2.0415e-05], [-1.2860e-05, -1.7695e-06, -2.1219e-05, ..., -1.8269e-05, 0.0000e+00, 2.1085e-06], [ 8.8438e-06, 3.2037e-06, 2.3693e-05, ..., 1.8239e-05, 0.0000e+00, 2.2799e-06]], device='cuda:0') Epoch 114, bias, value: tensor([-0.0245, -0.0181, -0.0306, 0.0006, 0.0024, 0.0338, 0.0149, -0.0193, 0.0115, -0.0066], device='cuda:0'), grad: tensor([ 4.7609e-06, 2.2203e-06, 2.6926e-05, 2.2665e-05, -2.8849e-05, 2.7314e-05, 1.2368e-05, -2.6017e-05, -1.4639e-04, 1.0520e-04], device='cuda:0') 100 0.0001 changing lr epoch 113, time 214.11, cls_loss 0.0029 cls_loss_mapping 0.0064 cls_loss_causal 0.5467 re_mapping 0.0080 re_causal 0.0241 /// teacc 98.82 lr 0.00010000 Epoch 115, weight, value: tensor([[ 0.0034, -0.0256, -0.0286, ..., -0.1272, -0.0308, -0.0725], [-0.0085, -0.0426, -0.0437, ..., 0.0139, 0.0034, -0.0826], [ 0.0422, -0.0793, -0.0605, ..., 0.0251, -0.1014, 0.0468], ..., [ 0.0109, -0.0228, -0.0931, ..., -0.0783, 0.0151, 0.0920], [ 0.0547, -0.0824, -0.0661, ..., -0.0765, -0.0346, -0.0498], [-0.1220, 0.0093, 0.0908, ..., 0.0664, -0.0404, -0.0840]], device='cuda:0'), grad: tensor([[-5.6997e-07, 7.5810e-07, 5.5879e-08, ..., 1.6615e-06, 0.0000e+00, 2.6897e-06], [ 6.2119e-07, 7.5204e-07, -9.6206e-07, ..., -6.2538e-07, 0.0000e+00, 1.2536e-06], [ 7.9488e-07, 3.9600e-06, 4.6194e-07, ..., 9.3132e-06, 0.0000e+00, -8.5607e-06], ..., [ 5.2415e-06, 5.5470e-06, 9.7789e-07, ..., 1.3448e-05, 0.0000e+00, 1.2904e-05], [-6.7465e-06, 1.6298e-06, 2.2398e-07, ..., 4.4890e-06, 0.0000e+00, 6.2995e-06], [ 1.5665e-06, 1.7472e-06, 4.1872e-06, ..., 4.2208e-06, 0.0000e+00, 1.3988e-06]], device='cuda:0') Epoch 115, bias, value: tensor([-0.0231, -0.0177, -0.0296, 0.0007, 0.0025, 0.0339, 0.0131, -0.0194, 0.0111, -0.0069], device='cuda:0'), grad: tensor([ 1.4268e-06, 5.8813e-07, 6.1542e-06, 2.4939e-04, 2.1625e-04, -8.6069e-04, 3.3784e-04, 3.4660e-05, 2.6878e-06, 1.1735e-05], device='cuda:0') 100 0.0001 changing lr epoch 114, time 214.17, cls_loss 0.0031 cls_loss_mapping 0.0072 cls_loss_causal 0.5638 re_mapping 0.0075 re_causal 0.0235 /// teacc 98.98 lr 0.00010000 Epoch 116, weight, value: tensor([[ 0.0034, -0.0261, -0.0296, ..., -0.1279, -0.0312, -0.0732], [-0.0083, -0.0428, -0.0436, ..., 0.0139, 0.0034, -0.0835], [ 0.0420, -0.0795, -0.0609, ..., 0.0248, -0.1016, 0.0471], ..., [ 0.0107, -0.0223, -0.0932, ..., -0.0776, 0.0153, 0.0934], [ 0.0533, -0.0827, -0.0673, ..., -0.0773, -0.0348, -0.0503], [-0.1225, 0.0098, 0.0912, ..., 0.0667, -0.0409, -0.0857]], device='cuda:0'), grad: tensor([[-3.4124e-05, 4.5029e-07, -1.0151e-07, ..., 6.0908e-07, 1.8626e-09, 3.9339e-06], [ 1.0431e-06, 8.5775e-07, -3.1665e-08, ..., -1.9670e-06, 4.6566e-10, 5.2005e-06], [-2.2985e-06, -5.9605e-06, 3.8976e-07, ..., 1.3160e-06, 4.6566e-10, -7.1466e-05], ..., [ 5.8580e-07, -5.4622e-07, 1.0654e-06, ..., 1.8561e-06, 0.0000e+00, 2.2262e-05], [ 3.7868e-06, 1.0608e-06, 7.2410e-07, ..., 4.1649e-06, 1.3970e-09, 1.4000e-05], [ 2.0359e-06, 5.4669e-07, -1.8515e-06, ..., -1.9670e-06, 0.0000e+00, 2.7139e-06]], device='cuda:0') Epoch 116, bias, value: tensor([-0.0234, -0.0179, -0.0296, -0.0008, 0.0019, 0.0343, 0.0144, -0.0185, 0.0101, -0.0066], device='cuda:0'), grad: tensor([-4.7207e-05, 2.3954e-06, -8.3745e-05, 2.0313e-04, 2.4661e-06, -1.9717e-04, 5.4747e-05, 2.6435e-05, 3.2157e-05, 6.9477e-06], device='cuda:0') 100 0.0001 changing lr epoch 115, time 214.14, cls_loss 0.0029 cls_loss_mapping 0.0062 cls_loss_causal 0.5632 re_mapping 0.0076 re_causal 0.0230 /// teacc 98.98 lr 0.00010000 Epoch 117, weight, value: tensor([[ 0.0037, -0.0265, -0.0300, ..., -0.1285, -0.0314, -0.0743], [-0.0086, -0.0430, -0.0436, ..., 0.0139, 0.0034, -0.0838], [ 0.0419, -0.0802, -0.0615, ..., 0.0250, -0.1020, 0.0472], ..., [ 0.0105, -0.0219, -0.0934, ..., -0.0778, 0.0154, 0.0943], [ 0.0532, -0.0832, -0.0678, ..., -0.0778, -0.0349, -0.0510], [-0.1230, 0.0098, 0.0913, ..., 0.0667, -0.0411, -0.0872]], device='cuda:0'), grad: tensor([[ 3.1013e-06, 1.0710e-07, 4.3586e-06, ..., 5.4017e-07, 4.6566e-10, 1.2154e-06], [ 1.0151e-06, 6.3470e-07, 1.8608e-06, ..., 8.9873e-07, 4.6566e-09, 2.2817e-06], [ 3.1665e-07, 8.8941e-07, 2.7120e-06, ..., 9.5088e-07, 3.2596e-09, -2.3916e-05], ..., [ 1.3411e-06, 1.9949e-06, 3.9563e-06, ..., 4.3511e-06, -2.7474e-08, 1.7375e-05], [ 1.3635e-05, 1.5097e-06, 1.4715e-05, ..., 5.7369e-06, 1.8626e-09, 1.7909e-06], [ 9.2713e-07, 9.3728e-06, 4.9204e-05, ..., 5.2392e-05, 1.0245e-08, 2.1812e-06]], device='cuda:0') Epoch 117, bias, value: tensor([-0.0235, -0.0177, -0.0299, -0.0028, 0.0019, 0.0361, 0.0147, -0.0182, 0.0097, -0.0068], device='cuda:0'), grad: tensor([ 1.1325e-05, 6.9886e-06, -1.9073e-05, -3.2168e-06, -7.9036e-05, 2.3935e-06, -7.7426e-05, 2.7463e-05, 4.5896e-05, 8.4639e-05], device='cuda:0') 100 0.0001 changing lr epoch 116, time 214.19, cls_loss 0.0036 cls_loss_mapping 0.0067 cls_loss_causal 0.5687 re_mapping 0.0076 re_causal 0.0227 /// teacc 98.96 lr 0.00010000 Epoch 118, weight, value: tensor([[ 0.0031, -0.0267, -0.0304, ..., -0.1291, -0.0317, -0.0751], [-0.0087, -0.0428, -0.0433, ..., 0.0147, 0.0036, -0.0841], [ 0.0419, -0.0818, -0.0616, ..., 0.0251, -0.1025, 0.0470], ..., [ 0.0097, -0.0222, -0.0947, ..., -0.0793, 0.0152, 0.0950], [ 0.0538, -0.0833, -0.0681, ..., -0.0783, -0.0350, -0.0514], [-0.1234, 0.0100, 0.0914, ..., 0.0668, -0.0412, -0.0878]], device='cuda:0'), grad: tensor([[-6.6459e-06, 3.2131e-08, 2.9150e-06, ..., 7.2131e-07, 9.3132e-10, 2.0675e-07], [ 1.8971e-06, 1.8999e-07, 2.8219e-07, ..., -1.6643e-06, -4.1444e-08, 8.2515e-07], [ 4.3660e-06, 9.8255e-08, 2.7269e-06, ..., 1.4650e-06, 3.2596e-09, -2.7064e-06], ..., [ 1.0161e-06, 3.3528e-07, 1.7388e-06, ..., 2.0582e-06, 1.0710e-08, 1.1735e-06], [-3.2067e-05, 2.2631e-07, -3.1870e-06, ..., -5.8204e-05, 6.0536e-09, 2.8126e-07], [ 3.1263e-05, -7.5111e-07, 7.0073e-06, ..., 4.8906e-05, 3.7253e-09, 2.4633e-07]], device='cuda:0') Epoch 118, bias, value: tensor([-0.0239, -0.0172, -0.0304, -0.0022, 0.0020, 0.0357, 0.0152, -0.0187, 0.0099, -0.0070], device='cuda:0'), grad: tensor([-1.5587e-05, 2.2613e-06, 1.0632e-05, 3.2596e-06, -1.1548e-05, 2.1920e-05, -1.2875e-05, 8.7544e-06, -1.3316e-04, 1.2612e-04], device='cuda:0') 100 0.0001 changing lr epoch 117, time 214.04, cls_loss 0.0026 cls_loss_mapping 0.0054 cls_loss_causal 0.5765 re_mapping 0.0071 re_causal 0.0219 /// teacc 98.91 lr 0.00010000 Epoch 119, weight, value: tensor([[ 0.0040, -0.0269, -0.0305, ..., -0.1297, -0.0319, -0.0760], [-0.0090, -0.0429, -0.0433, ..., 0.0147, 0.0037, -0.0848], [ 0.0418, -0.0824, -0.0621, ..., 0.0251, -0.1033, 0.0469], ..., [ 0.0097, -0.0222, -0.0955, ..., -0.0803, 0.0151, 0.0956], [ 0.0536, -0.0835, -0.0682, ..., -0.0786, -0.0355, -0.0517], [-0.1241, 0.0101, 0.0915, ..., 0.0670, -0.0411, -0.0883]], device='cuda:0'), grad: tensor([[-1.5944e-05, 6.9151e-08, 2.1537e-07, ..., 2.5034e-06, 0.0000e+00, 1.7490e-06], [ 2.8498e-06, 1.8161e-07, 1.6461e-07, ..., -2.7716e-06, 0.0000e+00, 5.2080e-06], [-8.4862e-06, 8.1724e-07, 1.4864e-06, ..., 3.9935e-06, 0.0000e+00, -4.0621e-05], ..., [ 6.0908e-06, -1.4808e-07, 1.3383e-06, ..., 6.1542e-06, 0.0000e+00, 1.3314e-05], [ 3.8981e-05, 7.5903e-07, 6.7847e-07, ..., 2.7806e-05, 0.0000e+00, 1.5303e-05], [ 8.3670e-06, -1.7695e-06, -6.7018e-06, ..., 5.5544e-06, 0.0000e+00, 8.0559e-07]], device='cuda:0') Epoch 119, bias, value: tensor([-0.0234, -0.0175, -0.0306, -0.0017, 0.0022, 0.0352, 0.0153, -0.0186, 0.0099, -0.0071], device='cuda:0'), grad: tensor([-4.1813e-05, -1.4424e-05, -8.7380e-05, 9.7632e-05, 5.4948e-06, -1.7166e-04, 9.3430e-06, 6.9022e-05, 1.0234e-04, 3.1382e-05], device='cuda:0') 100 0.0001 changing lr epoch 118, time 213.99, cls_loss 0.0024 cls_loss_mapping 0.0055 cls_loss_causal 0.5724 re_mapping 0.0073 re_causal 0.0232 /// teacc 98.91 lr 0.00010000 Epoch 120, weight, value: tensor([[ 0.0040, -0.0269, -0.0309, ..., -0.1302, -0.0324, -0.0762], [-0.0092, -0.0432, -0.0433, ..., 0.0143, 0.0036, -0.0850], [ 0.0418, -0.0827, -0.0628, ..., 0.0258, -0.1042, 0.0474], ..., [ 0.0095, -0.0220, -0.0959, ..., -0.0808, 0.0151, 0.0958], [ 0.0538, -0.0838, -0.0688, ..., -0.0797, -0.0358, -0.0522], [-0.1242, 0.0093, 0.0915, ..., 0.0670, -0.0411, -0.0895]], device='cuda:0'), grad: tensor([[-2.4796e-07, -4.3958e-07, 9.3132e-10, ..., 3.1060e-07, 0.0000e+00, 1.1232e-06], [ 5.4985e-06, 1.3430e-06, 2.2966e-06, ..., 5.2154e-06, 0.0000e+00, 4.0941e-06], [ 1.5303e-05, 1.1921e-07, 5.3555e-05, ..., 1.0282e-06, 0.0000e+00, -2.2471e-05], ..., [ 1.2368e-06, -4.8988e-06, -1.5907e-06, ..., 9.0385e-07, 0.0000e+00, -2.3912e-07], [-7.1675e-06, -9.1502e-08, -3.5744e-06, ..., -9.0674e-06, 0.0000e+00, 5.7109e-06], [ 4.9956e-06, 2.6263e-06, 6.9197e-07, ..., -1.6754e-06, 0.0000e+00, 6.2399e-06]], device='cuda:0') Epoch 120, bias, value: tensor([-0.0235, -0.0176, -0.0304, -0.0011, 0.0031, 0.0347, 0.0147, -0.0186, 0.0096, -0.0074], device='cuda:0'), grad: tensor([-6.9104e-07, 2.6837e-05, 7.0155e-05, 5.7071e-06, 3.9458e-05, 3.6433e-06, -1.5116e-04, 1.9521e-06, -1.9431e-05, 2.3484e-05], device='cuda:0') 100 0.0001 changing lr epoch 119, time 214.01, cls_loss 0.0024 cls_loss_mapping 0.0064 cls_loss_causal 0.5443 re_mapping 0.0079 re_causal 0.0237 /// teacc 98.77 lr 0.00010000 Epoch 121, weight, value: tensor([[ 0.0038, -0.0271, -0.0311, ..., -0.1306, -0.0324, -0.0768], [-0.0092, -0.0433, -0.0429, ..., 0.0153, 0.0036, -0.0853], [ 0.0425, -0.0829, -0.0633, ..., 0.0257, -0.1042, 0.0480], ..., [ 0.0092, -0.0219, -0.0972, ..., -0.0824, 0.0151, 0.0960], [ 0.0538, -0.0838, -0.0709, ..., -0.0814, -0.0358, -0.0531], [-0.1245, 0.0095, 0.0918, ..., 0.0674, -0.0411, -0.0893]], device='cuda:0'), grad: tensor([[ 4.8093e-06, 1.1828e-07, 1.0088e-05, ..., 8.4788e-06, 0.0000e+00, 1.8254e-07], [ 1.0002e-04, 9.3412e-07, 2.6655e-04, ..., 3.0971e-04, 0.0000e+00, 3.2596e-07], [ 2.5984e-06, 6.7055e-08, 6.2250e-06, ..., 8.2478e-06, 0.0000e+00, -1.9949e-06], ..., [ 4.6613e-07, 4.0382e-06, 2.0072e-05, ..., 1.8016e-05, 0.0000e+00, 2.2966e-06], [-1.2410e-04, 1.7378e-06, -3.1972e-04, ..., -3.7837e-04, 0.0000e+00, 6.5565e-07], [ 2.8759e-06, -1.0341e-05, -5.0008e-05, ..., -4.0591e-05, 0.0000e+00, -2.9691e-06]], device='cuda:0') Epoch 121, bias, value: tensor([-0.0237, -0.0174, -0.0298, -0.0002, 0.0037, 0.0334, 0.0150, -0.0190, 0.0086, -0.0073], device='cuda:0'), grad: tensor([ 2.6658e-05, 1.3762e-03, 3.4392e-05, 3.3677e-05, 4.0293e-05, 5.4777e-05, 1.6141e-04, 5.5611e-05, -1.7290e-03, -5.4210e-05], device='cuda:0') 100 0.0001 changing lr epoch 120, time 213.94, cls_loss 0.0040 cls_loss_mapping 0.0072 cls_loss_causal 0.5551 re_mapping 0.0078 re_causal 0.0220 /// teacc 98.84 lr 0.00010000 Epoch 122, weight, value: tensor([[ 0.0041, -0.0282, -0.0314, ..., -0.1329, -0.0325, -0.0760], [-0.0096, -0.0443, -0.0431, ..., 0.0153, 0.0028, -0.0872], [ 0.0424, -0.0833, -0.0644, ..., 0.0251, -0.1044, 0.0485], ..., [ 0.0083, -0.0213, -0.0988, ..., -0.0836, 0.0160, 0.0974], [ 0.0543, -0.0840, -0.0705, ..., -0.0817, -0.0360, -0.0538], [-0.1255, 0.0104, 0.0930, ..., 0.0684, -0.0412, -0.0892]], device='cuda:0'), grad: tensor([[-1.0971e-06, 3.2131e-08, 1.6214e-06, ..., 1.2890e-06, 0.0000e+00, 8.4750e-08], [-2.5611e-06, 3.5763e-07, -7.0095e-05, ..., -5.6297e-05, 0.0000e+00, 1.2992e-06], [ 5.9884e-07, 6.3470e-07, 3.7532e-06, ..., 9.4855e-07, 0.0000e+00, 5.6764e-07], ..., [ 4.2608e-07, -9.7696e-07, 5.4017e-06, ..., 4.3623e-06, 0.0000e+00, -2.1402e-06], [ 1.9297e-06, 2.6077e-07, 4.6253e-05, ..., 3.7223e-05, 0.0000e+00, 5.8068e-07], [ 5.3504e-07, -1.8999e-07, -4.1025e-07, ..., -2.1374e-07, 0.0000e+00, 1.2992e-07]], device='cuda:0') Epoch 122, bias, value: tensor([-0.0237, -0.0184, -0.0302, -0.0005, 0.0028, 0.0350, 0.0143, -0.0185, 0.0090, -0.0065], device='cuda:0'), grad: tensor([ 3.5809e-07, -1.6320e-04, 7.1041e-06, -1.2644e-05, -1.2720e-04, 1.2226e-05, 1.6081e-04, 9.8199e-06, 1.0979e-04, 3.0268e-06], device='cuda:0') 100 0.0001 changing lr epoch 121, time 213.88, cls_loss 0.0025 cls_loss_mapping 0.0051 cls_loss_causal 0.5645 re_mapping 0.0074 re_causal 0.0228 /// teacc 98.81 lr 0.00010000 Epoch 123, weight, value: tensor([[ 0.0049, -0.0285, -0.0330, ..., -0.1338, -0.0326, -0.0757], [-0.0098, -0.0444, -0.0424, ..., 0.0161, 0.0028, -0.0876], [ 0.0423, -0.0837, -0.0646, ..., 0.0255, -0.1044, 0.0486], ..., [ 0.0081, -0.0215, -0.0999, ..., -0.0846, 0.0160, 0.0976], [ 0.0550, -0.0842, -0.0706, ..., -0.0818, -0.0362, -0.0541], [-0.1254, 0.0105, 0.0934, ..., 0.0686, -0.0412, -0.0897]], device='cuda:0'), grad: tensor([[-3.5968e-06, 2.6589e-07, 1.3895e-06, ..., 1.8766e-07, 0.0000e+00, 5.7090e-07], [ 1.2303e-06, 3.7439e-07, -7.3714e-07, ..., -1.3895e-06, 0.0000e+00, 8.7311e-07], [ 1.8328e-06, 1.4547e-06, 7.3900e-07, ..., 6.6077e-07, 0.0000e+00, 6.7148e-07], ..., [ 1.7602e-07, -1.6410e-06, 6.1840e-07, ..., 5.5414e-07, 0.0000e+00, -3.8967e-06], [-5.3793e-06, 3.8790e-07, 9.8627e-07, ..., -1.4547e-06, 0.0000e+00, 5.9232e-07], [ 5.7928e-07, -4.8056e-07, -2.1048e-06, ..., -2.5760e-06, 0.0000e+00, 1.5786e-06]], device='cuda:0') Epoch 123, bias, value: tensor([-0.0238, -0.0181, -0.0304, -0.0003, 0.0025, 0.0346, 0.0141, -0.0187, 0.0093, -0.0062], device='cuda:0'), grad: tensor([-4.0941e-06, -6.2864e-08, 7.2382e-06, -2.4401e-06, 1.9018e-06, 2.1726e-05, -5.8189e-06, -3.2000e-06, -1.6138e-05, 8.9779e-07], device='cuda:0') 100 0.0001 changing lr epoch 122, time 214.05, cls_loss 0.0025 cls_loss_mapping 0.0050 cls_loss_causal 0.5623 re_mapping 0.0070 re_causal 0.0214 /// teacc 98.85 lr 0.00010000 Epoch 124, weight, value: tensor([[ 0.0047, -0.0290, -0.0336, ..., -0.1343, -0.0326, -0.0763], [-0.0099, -0.0446, -0.0416, ..., 0.0170, 0.0028, -0.0880], [ 0.0423, -0.0840, -0.0658, ..., 0.0253, -0.1044, 0.0489], ..., [ 0.0079, -0.0212, -0.1005, ..., -0.0851, 0.0160, 0.0982], [ 0.0562, -0.0843, -0.0704, ..., -0.0820, -0.0362, -0.0545], [-0.1267, 0.0103, 0.0932, ..., 0.0684, -0.0412, -0.0910]], device='cuda:0'), grad: tensor([[ 1.3486e-06, 9.4017e-07, 7.6881e-07, ..., 9.2946e-07, 2.5705e-07, 2.4512e-06], [ 1.8571e-06, 1.7834e-04, 6.5826e-06, ..., 1.3895e-06, 5.4855e-07, 2.6870e-04], [ 3.4459e-07, 2.0847e-05, 1.5134e-07, ..., 8.8476e-08, 1.3039e-08, 1.0717e-04], ..., [ 1.6745e-06, -1.7834e-04, -6.6198e-06, ..., 2.5015e-06, 5.8860e-07, -2.5153e-04], [ 1.5488e-06, 7.5325e-06, 2.4680e-07, ..., 1.8561e-06, 4.9593e-07, 3.1382e-05], [ 1.5246e-06, 1.9372e-06, -5.5647e-07, ..., 8.6054e-07, 4.2375e-07, 3.8221e-06]], device='cuda:0') Epoch 124, bias, value: tensor([-0.0241, -0.0177, -0.0307, -0.0002, 0.0024, 0.0345, 0.0146, -0.0185, 0.0100, -0.0069], device='cuda:0'), grad: tensor([ 6.7912e-06, 7.5960e-04, 1.8704e-04, -3.1543e-04, 5.6578e-07, 2.4274e-05, -9.4390e-07, -7.3338e-04, 6.0052e-05, 1.1139e-05], device='cuda:0') 100 0.0001 changing lr epoch 123, time 214.23, cls_loss 0.0027 cls_loss_mapping 0.0060 cls_loss_causal 0.5614 re_mapping 0.0072 re_causal 0.0216 /// teacc 98.86 lr 0.00010000 Epoch 125, weight, value: tensor([[ 0.0053, -0.0293, -0.0332, ..., -0.1347, -0.0326, -0.0768], [-0.0101, -0.0449, -0.0414, ..., 0.0171, 0.0028, -0.0883], [ 0.0423, -0.0843, -0.0667, ..., 0.0252, -0.1045, 0.0488], ..., [ 0.0076, -0.0212, -0.1022, ..., -0.0862, 0.0160, 0.0987], [ 0.0562, -0.0846, -0.0711, ..., -0.0828, -0.0363, -0.0549], [-0.1278, 0.0105, 0.0931, ..., 0.0685, -0.0412, -0.0911]], device='cuda:0'), grad: tensor([[ 5.1036e-07, 3.6275e-07, 1.8608e-06, ..., 1.6904e-06, 0.0000e+00, 5.1176e-07], [ 1.2619e-06, 1.0207e-06, -3.4012e-06, ..., -2.6189e-06, 0.0000e+00, 2.7418e-06], [ 1.0077e-06, 1.1278e-06, 1.5479e-06, ..., 1.2154e-06, 0.0000e+00, 2.7847e-06], ..., [ 3.3621e-07, -4.2804e-06, 3.6284e-06, ..., 2.9150e-06, 0.0000e+00, -9.6634e-06], [-2.0474e-05, 1.0785e-06, 2.3358e-06, ..., 9.1866e-06, 0.0000e+00, 1.6764e-06], [ 1.1837e-06, 2.3562e-06, -1.9725e-06, ..., -2.0087e-05, 0.0000e+00, 3.5334e-06]], device='cuda:0') Epoch 125, bias, value: tensor([-0.0229, -0.0177, -0.0312, -0.0002, 0.0025, 0.0341, 0.0151, -0.0185, 0.0097, -0.0075], device='cuda:0'), grad: tensor([ 6.4522e-06, -4.0531e-06, 1.1690e-05, 6.6012e-06, -1.8522e-05, 5.5462e-05, 1.0550e-05, -3.9116e-06, -6.5863e-05, 1.5888e-06], device='cuda:0') 100 0.0001 changing lr epoch 124, time 214.23, cls_loss 0.0032 cls_loss_mapping 0.0052 cls_loss_causal 0.5463 re_mapping 0.0070 re_causal 0.0214 /// teacc 98.87 lr 0.00010000 Epoch 126, weight, value: tensor([[ 0.0058, -0.0296, -0.0337, ..., -0.1355, -0.0332, -0.0768], [-0.0109, -0.0450, -0.0415, ..., 0.0170, 0.0028, -0.0888], [ 0.0427, -0.0846, -0.0667, ..., 0.0249, -0.1052, 0.0498], ..., [ 0.0069, -0.0211, -0.1029, ..., -0.0868, 0.0159, 0.0987], [ 0.0570, -0.0848, -0.0713, ..., -0.0833, -0.0382, -0.0555], [-0.1286, 0.0102, 0.0930, ..., 0.0684, -0.0412, -0.0921]], device='cuda:0'), grad: tensor([[ 6.6962e-07, 4.4703e-08, 5.1856e-06, ..., 1.2675e-06, 0.0000e+00, 3.4552e-07], [ 7.4133e-07, 2.5984e-07, 3.5942e-05, ..., 1.2554e-05, 0.0000e+00, 3.6489e-06], [ 1.9791e-07, 1.7742e-07, 1.3091e-05, ..., 4.6231e-06, 0.0000e+00, -1.0338e-07], ..., [ 1.9884e-07, -5.4063e-07, 5.9828e-06, ..., 2.3041e-06, 0.0000e+00, -4.8149e-07], [-5.8338e-06, -9.3132e-09, 5.7742e-06, ..., 7.4087e-07, 2.7940e-09, 8.5775e-07], [ 6.3889e-07, 1.5553e-07, 5.3570e-06, ..., 1.9893e-06, 4.6566e-10, 5.5460e-07]], device='cuda:0') Epoch 126, bias, value: tensor([-0.0225, -0.0181, -0.0305, -0.0001, 0.0028, 0.0342, 0.0151, -0.0191, 0.0103, -0.0079], device='cuda:0'), grad: tensor([ 7.5623e-06, 7.0512e-05, 2.4095e-05, 1.8626e-06, -2.1636e-04, 1.3553e-05, 7.8261e-05, 1.0692e-05, -2.5891e-06, 1.2375e-05], device='cuda:0') 100 0.0001 changing lr epoch 125, time 213.97, cls_loss 0.0033 cls_loss_mapping 0.0077 cls_loss_causal 0.5647 re_mapping 0.0075 re_causal 0.0222 /// teacc 98.95 lr 0.00010000 Epoch 127, weight, value: tensor([[ 0.0059, -0.0298, -0.0364, ..., -0.1371, -0.0333, -0.0774], [-0.0110, -0.0448, -0.0406, ..., 0.0179, 0.0028, -0.0888], [ 0.0427, -0.0853, -0.0678, ..., 0.0245, -0.1053, 0.0496], ..., [ 0.0066, -0.0216, -0.1051, ..., -0.0883, 0.0164, 0.0986], [ 0.0555, -0.0853, -0.0743, ..., -0.0868, -0.0383, -0.0567], [-0.1266, 0.0106, 0.0952, ..., 0.0697, -0.0426, -0.0930]], device='cuda:0'), grad: tensor([[ 1.7524e-05, 1.7732e-06, 1.8105e-05, ..., 4.8578e-06, 4.6566e-10, 5.4650e-06], [ 2.6613e-05, 4.9993e-06, 2.5406e-05, ..., 4.2051e-05, 5.5879e-09, 1.3225e-05], [ 1.7462e-06, 9.2015e-07, 8.7963e-07, ..., 1.6242e-06, 1.3970e-09, -4.6283e-05], ..., [ 1.0887e-06, -5.1856e-05, 2.0005e-06, ..., 3.3509e-06, -2.5146e-08, -6.7532e-05], [ 7.1704e-05, 1.0848e-05, 8.6069e-05, ..., -3.5793e-05, 2.7940e-09, 3.9786e-06], [ 3.5465e-06, 2.8938e-05, -1.4111e-05, ..., -1.3597e-05, 1.8626e-09, 5.2691e-05]], device='cuda:0') Epoch 127, bias, value: tensor([-0.0243, -0.0177, -0.0309, 0.0003, 0.0032, 0.0344, 0.0151, -0.0198, 0.0079, -0.0056], device='cuda:0'), grad: tensor([ 9.3460e-05, 1.9336e-04, -6.7532e-05, 6.1095e-05, 6.3419e-05, 7.3731e-05, -7.0095e-04, -1.6499e-04, 3.2210e-04, 1.2612e-04], device='cuda:0') 100 0.0001 changing lr epoch 126, time 214.17, cls_loss 0.0035 cls_loss_mapping 0.0068 cls_loss_causal 0.5348 re_mapping 0.0071 re_causal 0.0211 /// teacc 98.94 lr 0.00010000 Epoch 128, weight, value: tensor([[ 0.0066, -0.0301, -0.0364, ..., -0.1375, -0.0333, -0.0779], [-0.0118, -0.0456, -0.0419, ..., 0.0165, 0.0028, -0.0896], [ 0.0414, -0.0854, -0.0690, ..., 0.0240, -0.1054, 0.0498], ..., [ 0.0066, -0.0213, -0.1063, ..., -0.0890, 0.0166, 0.0998], [ 0.0530, -0.0858, -0.0776, ..., -0.0895, -0.0384, -0.0571], [-0.1243, 0.0111, 0.0974, ..., 0.0713, -0.0433, -0.0949]], device='cuda:0'), grad: tensor([[ 3.0845e-06, 2.4028e-07, 1.5553e-06, ..., 6.0862e-07, 0.0000e+00, 5.6066e-07], [ 1.4175e-06, 3.0696e-05, 2.2557e-06, ..., 1.1986e-06, 0.0000e+00, 4.8846e-05], [-1.8543e-06, 3.9954e-07, 1.0207e-06, ..., 6.6869e-07, 0.0000e+00, -1.6928e-05], ..., [ 3.2652e-06, -3.3349e-05, 1.3830e-06, ..., 1.0980e-06, 0.0000e+00, -3.9160e-05], [ 1.4398e-06, 1.4724e-06, 3.1330e-06, ..., -3.1199e-07, 0.0000e+00, 1.9092e-06], [ 1.4519e-06, 1.2675e-06, 1.3700e-06, ..., 1.4585e-06, 0.0000e+00, 2.7716e-06]], device='cuda:0') Epoch 128, bias, value: tensor([-0.0238, -0.0190, -0.0314, -0.0001, 0.0037, 0.0347, 0.0151, -0.0193, 0.0051, -0.0034], device='cuda:0'), grad: tensor([ 9.7081e-06, 1.7536e-04, -1.2182e-05, 6.6608e-06, -1.8433e-05, 1.7248e-06, -1.8224e-05, -1.6451e-04, 5.5619e-06, 1.4104e-05], device='cuda:0') 100 0.0001 changing lr epoch 127, time 214.29, cls_loss 0.0022 cls_loss_mapping 0.0049 cls_loss_causal 0.5456 re_mapping 0.0074 re_causal 0.0219 /// teacc 98.87 lr 0.00010000 Epoch 129, weight, value: tensor([[ 0.0065, -0.0304, -0.0365, ..., -0.1380, -0.0334, -0.0788], [-0.0121, -0.0459, -0.0419, ..., 0.0166, 0.0028, -0.0899], [ 0.0416, -0.0857, -0.0691, ..., 0.0240, -0.1069, 0.0502], ..., [ 0.0064, -0.0212, -0.1067, ..., -0.0895, 0.0165, 0.1000], [ 0.0535, -0.0861, -0.0776, ..., -0.0896, -0.0385, -0.0574], [-0.1245, 0.0111, 0.0974, ..., 0.0713, -0.0434, -0.0957]], device='cuda:0'), grad: tensor([[-1.3178e-07, 1.9819e-06, 2.4084e-06, ..., 3.6824e-06, 1.0198e-07, 7.0501e-07], [ 9.5926e-08, 4.2655e-07, -3.9749e-06, ..., -2.9787e-05, 3.5390e-08, 3.5856e-07], [-3.2596e-08, 9.4995e-08, 1.2005e-06, ..., 2.7008e-06, 9.3132e-09, -2.5798e-06], ..., [ 2.9150e-07, 6.2995e-06, 6.5751e-06, ..., 1.6034e-05, 2.1253e-06, 2.3395e-06], [ 1.9697e-07, 4.3511e-06, 6.9439e-06, ..., 1.6734e-05, 5.8627e-07, 1.6578e-06], [ 8.1398e-07, -8.2105e-06, -8.4490e-06, ..., -1.0632e-05, 1.0608e-06, 1.6093e-06]], device='cuda:0') Epoch 129, bias, value: tensor([-0.0240, -0.0192, -0.0313, 0.0003, 0.0040, 0.0341, 0.0151, -0.0194, 0.0055, -0.0036], device='cuda:0'), grad: tensor([ 8.8736e-06, -7.4863e-05, 3.3230e-06, 3.6545e-06, -2.7269e-05, 2.6766e-06, 3.4794e-06, 4.9233e-05, 4.4107e-05, -1.3307e-05], device='cuda:0') 100 0.0001 changing lr epoch 128, time 214.22, cls_loss 0.0027 cls_loss_mapping 0.0065 cls_loss_causal 0.5350 re_mapping 0.0078 re_causal 0.0224 /// teacc 98.96 lr 0.00010000 Epoch 130, weight, value: tensor([[ 0.0063, -0.0306, -0.0375, ..., -0.1418, -0.0335, -0.0799], [-0.0131, -0.0460, -0.0418, ..., 0.0169, 0.0029, -0.0892], [ 0.0422, -0.0860, -0.0691, ..., 0.0253, -0.1073, 0.0512], ..., [ 0.0059, -0.0209, -0.1073, ..., -0.0904, 0.0166, 0.1000], [ 0.0544, -0.0864, -0.0776, ..., -0.0899, -0.0389, -0.0582], [-0.1246, 0.0111, 0.0977, ..., 0.0715, -0.0439, -0.0972]], device='cuda:0'), grad: tensor([[-2.5015e-06, 1.3039e-08, 3.6927e-07, ..., 1.2666e-07, 0.0000e+00, 2.7940e-09], [ 7.9069e-07, 2.5611e-08, -7.1898e-07, ..., -2.9616e-06, 0.0000e+00, 3.3062e-08], [ 2.0768e-07, 1.2573e-08, 3.2643e-07, ..., 5.8766e-07, 0.0000e+00, -3.4925e-08], ..., [ 9.1735e-08, 1.3132e-07, 7.7533e-07, ..., 1.3262e-06, 0.0000e+00, 2.7474e-08], [ 1.4380e-06, 9.1735e-08, 1.6363e-06, ..., 1.1222e-06, 0.0000e+00, 7.9162e-09], [ 7.5949e-07, -9.5041e-07, -1.7090e-06, ..., -2.3060e-06, 0.0000e+00, 1.2573e-08]], device='cuda:0') Epoch 130, bias, value: tensor([-0.0246, -0.0187, -0.0304, 0.0001, 0.0039, 0.0338, 0.0152, -0.0200, 0.0059, -0.0036], device='cuda:0'), grad: tensor([-7.3798e-06, -4.2468e-06, 1.6950e-06, 8.7172e-07, 3.4682e-06, 3.2093e-06, -4.6827e-06, 2.6561e-06, 4.8801e-06, -4.8894e-07], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 129---------------------------------------------------- epoch 129, time 230.15, cls_loss 0.0027 cls_loss_mapping 0.0063 cls_loss_causal 0.5592 re_mapping 0.0072 re_causal 0.0208 /// teacc 99.02 lr 0.00010000 Epoch 131, weight, value: tensor([[ 0.0056, -0.0309, -0.0376, ..., -0.1420, -0.0338, -0.0803], [-0.0138, -0.0461, -0.0416, ..., 0.0172, 0.0033, -0.0898], [ 0.0413, -0.0862, -0.0696, ..., 0.0250, -0.1117, 0.0500], ..., [ 0.0057, -0.0214, -0.1084, ..., -0.0922, 0.0168, 0.1014], [ 0.0552, -0.0867, -0.0777, ..., -0.0899, -0.0396, -0.0586], [-0.1247, 0.0119, 0.0980, ..., 0.0723, -0.0444, -0.0970]], device='cuda:0'), grad: tensor([[ 1.0235e-06, 1.3318e-07, 1.2713e-06, ..., 2.4214e-07, 1.5367e-08, 2.8033e-07], [ 9.4995e-07, 3.4971e-07, 8.1733e-06, ..., 6.4149e-06, -2.8638e-07, 1.5134e-06], [ 5.9977e-07, 3.5856e-07, 1.0198e-06, ..., 9.4762e-07, 7.7300e-08, 1.0170e-06], ..., [ 8.5682e-08, -8.4098e-07, 2.6356e-06, ..., 2.3060e-06, 9.3132e-09, -3.8967e-06], [ 4.4703e-06, 3.7532e-07, 5.1036e-06, ..., 1.3644e-06, 3.7253e-08, 1.8133e-06], [ 4.9360e-07, 3.0873e-07, 2.2054e-06, ..., 2.1495e-06, 8.8941e-08, 1.6699e-06]], device='cuda:0') Epoch 131, bias, value: tensor([-0.0250, -0.0188, -0.0323, -0.0001, 0.0034, 0.0334, 0.0161, -0.0197, 0.0066, -0.0034], device='cuda:0'), grad: tensor([ 4.7423e-06, 1.8641e-05, 6.0908e-06, -6.8918e-06, -2.6464e-05, 1.9744e-06, -2.7105e-05, 5.5693e-07, 1.9982e-05, 8.4266e-06], device='cuda:0') 100 0.0001 changing lr epoch 130, time 213.94, cls_loss 0.0023 cls_loss_mapping 0.0044 cls_loss_causal 0.5660 re_mapping 0.0069 re_causal 0.0211 /// teacc 99.00 lr 0.00010000 Epoch 132, weight, value: tensor([[ 0.0062, -0.0315, -0.0379, ..., -0.1421, -0.0343, -0.0808], [-0.0140, -0.0462, -0.0416, ..., 0.0170, 0.0033, -0.0902], [ 0.0411, -0.0864, -0.0704, ..., 0.0256, -0.1133, 0.0505], ..., [ 0.0053, -0.0205, -0.1087, ..., -0.0926, 0.0172, 0.1023], [ 0.0553, -0.0870, -0.0777, ..., -0.0901, -0.0426, -0.0591], [-0.1249, 0.0115, 0.0979, ..., 0.0719, -0.0446, -0.0979]], device='cuda:0'), grad: tensor([[-5.3756e-06, 1.0952e-06, 1.0962e-06, ..., 4.0494e-06, 1.2899e-07, 1.6047e-06], [ 1.1232e-06, 3.2093e-06, 1.7136e-07, ..., 7.9125e-06, 2.8824e-07, 6.3777e-06], [ 2.1365e-06, 1.1669e-06, 5.1549e-07, ..., -9.4697e-06, 4.2375e-08, -3.2961e-05], ..., [-9.8497e-06, -1.6108e-05, 3.8087e-05, ..., 2.8580e-05, 2.6356e-06, -2.6613e-05], [-2.3972e-06, 1.1967e-06, 1.7378e-06, ..., 2.6878e-06, 8.9407e-08, 2.8871e-06], [ 1.0632e-05, 2.0191e-06, -4.6849e-05, ..., -6.4135e-05, -4.2841e-06, 4.1544e-05]], device='cuda:0') Epoch 132, bias, value: tensor([-0.0246, -0.0189, -0.0322, -0.0007, 0.0037, 0.0329, 0.0167, -0.0191, 0.0067, -0.0038], device='cuda:0'), grad: tensor([-2.3603e-05, 2.3261e-05, -2.7239e-05, 3.9905e-05, 2.4438e-06, 1.7509e-05, 6.2250e-06, -5.6267e-05, 2.8778e-07, 1.7330e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 131---------------------------------------------------- epoch 131, time 230.09, cls_loss 0.0022 cls_loss_mapping 0.0049 cls_loss_causal 0.5415 re_mapping 0.0070 re_causal 0.0211 /// teacc 99.12 lr 0.00010000 Epoch 133, weight, value: tensor([[ 0.0064, -0.0321, -0.0381, ..., -0.1426, -0.0349, -0.0811], [-0.0142, -0.0464, -0.0415, ..., 0.0171, 0.0032, -0.0907], [ 0.0401, -0.0867, -0.0714, ..., 0.0257, -0.1143, 0.0505], ..., [ 0.0054, -0.0202, -0.1094, ..., -0.0930, 0.0173, 0.1031], [ 0.0554, -0.0874, -0.0777, ..., -0.0904, -0.0434, -0.0598], [-0.1251, 0.0114, 0.0979, ..., 0.0716, -0.0451, -0.0988]], device='cuda:0'), grad: tensor([[-1.9833e-05, -6.0536e-08, 6.6590e-08, ..., 1.0757e-07, 9.3132e-10, -3.1777e-06], [ 5.8813e-07, 4.6752e-07, -2.9150e-07, ..., -1.9697e-07, 1.3039e-08, 7.1479e-07], [ 3.1590e-06, 6.5705e-07, 1.1967e-07, ..., 5.6392e-07, 1.4901e-08, -4.1090e-06], ..., [ 1.6699e-06, 3.4785e-07, 2.2911e-07, ..., 4.7451e-07, -6.1933e-08, 3.6210e-06], [ 6.0396e-07, -7.4506e-09, -1.9418e-07, ..., 5.4808e-07, 6.9849e-09, 1.7872e-06], [ 5.2862e-06, 1.4920e-06, -5.5879e-07, ..., 1.1949e-06, -6.5193e-09, 2.6841e-06]], device='cuda:0') Epoch 133, bias, value: tensor([-0.0246, -0.0190, -0.0328, -0.0005, 0.0039, 0.0330, 0.0169, -0.0187, 0.0066, -0.0041], device='cuda:0'), grad: tensor([-6.9499e-05, 4.3139e-06, 8.8587e-06, -3.7462e-05, 3.5223e-06, 4.7207e-05, 1.4402e-05, 1.0036e-05, -4.1239e-06, 2.2769e-05], device='cuda:0') 100 0.0001 changing lr epoch 132, time 213.99, cls_loss 0.0023 cls_loss_mapping 0.0051 cls_loss_causal 0.5631 re_mapping 0.0064 re_causal 0.0208 /// teacc 98.99 lr 0.00010000 Epoch 134, weight, value: tensor([[ 0.0066, -0.0326, -0.0382, ..., -0.1431, -0.0352, -0.0818], [-0.0143, -0.0464, -0.0412, ..., 0.0173, 0.0042, -0.0913], [ 0.0402, -0.0871, -0.0722, ..., 0.0254, -0.1151, 0.0509], ..., [ 0.0051, -0.0201, -0.1104, ..., -0.0938, 0.0163, 0.1036], [ 0.0554, -0.0878, -0.0777, ..., -0.0904, -0.0437, -0.0606], [-0.1252, 0.0114, 0.0979, ..., 0.0717, -0.0451, -0.0998]], device='cuda:0'), grad: tensor([[-2.9337e-08, 3.4412e-07, 1.0328e-06, ..., 1.0179e-06, 1.3970e-09, 1.4706e-06], [ 1.9092e-07, 2.7334e-07, -9.7323e-07, ..., -7.9069e-07, 2.3283e-09, 7.0501e-07], [-4.9919e-07, 1.2107e-07, 1.6671e-07, ..., -1.2806e-07, 3.2596e-09, -8.7321e-06], ..., [ 1.7695e-07, 4.3027e-07, 1.4780e-06, ..., 1.4268e-06, 1.8626e-09, 5.0478e-07], [ 6.0070e-08, 6.1886e-07, 1.1465e-06, ..., 1.7462e-06, 3.7253e-09, 2.7474e-06], [ 6.4587e-07, -2.9206e-06, -7.9125e-06, ..., -5.9344e-06, 3.2596e-09, 2.5472e-07]], device='cuda:0') Epoch 134, bias, value: tensor([-0.0245, -0.0191, -0.0327, 0.0006, 0.0041, 0.0321, 0.0167, -0.0187, 0.0067, -0.0043], device='cuda:0'), grad: tensor([ 5.3085e-06, -1.7062e-06, -1.9297e-05, 2.0146e-05, 3.5278e-06, -1.4961e-05, 3.7253e-06, 3.8054e-06, 8.0913e-06, -8.6948e-06], device='cuda:0') 100 0.0001 changing lr epoch 133, time 214.19, cls_loss 0.0026 cls_loss_mapping 0.0051 cls_loss_causal 0.5574 re_mapping 0.0063 re_causal 0.0205 /// teacc 98.86 lr 0.00010000 Epoch 135, weight, value: tensor([[ 0.0068, -0.0331, -0.0382, ..., -0.1437, -0.0355, -0.0826], [-0.0147, -0.0466, -0.0414, ..., 0.0172, 0.0042, -0.0916], [ 0.0401, -0.0867, -0.0730, ..., 0.0253, -0.1155, 0.0529], ..., [ 0.0050, -0.0201, -0.1109, ..., -0.0941, 0.0163, 0.1030], [ 0.0561, -0.0881, -0.0773, ..., -0.0902, -0.0444, -0.0614], [-0.1254, 0.0116, 0.0980, ..., 0.0717, -0.0452, -0.1003]], device='cuda:0'), grad: tensor([[ 1.3970e-08, 2.6077e-08, 4.0978e-08, ..., 9.9652e-08, 9.3132e-10, 2.1514e-07], [ 4.4983e-07, 1.9744e-07, -5.2992e-07, ..., -3.7253e-08, 0.0000e+00, 1.9446e-06], [-6.5099e-07, 8.1956e-08, 1.1455e-07, ..., -1.1306e-06, 0.0000e+00, -5.5060e-06], ..., [ 4.9360e-08, 2.1514e-07, 6.9384e-07, ..., 6.9663e-07, 0.0000e+00, 1.9558e-07], [-5.0571e-07, 1.3877e-07, 3.2317e-07, ..., 4.5076e-07, 1.8626e-09, 3.4738e-07], [ 6.7987e-08, -4.2841e-08, -6.7055e-08, ..., 4.3400e-07, 9.3132e-10, 2.0023e-07]], device='cuda:0') Epoch 135, bias, value: tensor([-2.4294e-02, -1.9520e-02, -3.1836e-02, -9.0919e-05, 3.8505e-03, 3.2389e-02, 1.6331e-02, -1.9080e-02, 7.6257e-03, -4.4534e-03], device='cuda:0'), grad: tensor([ 4.8801e-07, 3.1069e-06, -1.0476e-05, 1.9092e-07, -7.6368e-08, -1.6764e-07, 4.2953e-06, 1.7360e-06, -2.0862e-07, 1.1045e-06], device='cuda:0') 100 0.0001 changing lr epoch 134, time 214.13, cls_loss 0.0024 cls_loss_mapping 0.0054 cls_loss_causal 0.5367 re_mapping 0.0065 re_causal 0.0207 /// teacc 99.02 lr 0.00010000 Epoch 136, weight, value: tensor([[ 0.0069, -0.0338, -0.0383, ..., -0.1446, -0.0358, -0.0840], [-0.0148, -0.0467, -0.0413, ..., 0.0173, 0.0044, -0.0918], [ 0.0400, -0.0874, -0.0737, ..., 0.0252, -0.1163, 0.0534], ..., [ 0.0049, -0.0198, -0.1117, ..., -0.0948, 0.0161, 0.1033], [ 0.0563, -0.0885, -0.0773, ..., -0.0905, -0.0446, -0.0623], [-0.1255, 0.0127, 0.0995, ..., 0.0732, -0.0452, -0.1016]], device='cuda:0'), grad: tensor([[ 3.0268e-07, 1.0338e-07, 2.1607e-07, ..., 7.7300e-08, 0.0000e+00, 2.1793e-07], [ 3.1665e-08, 2.4308e-07, -1.2377e-06, ..., -1.1502e-06, 0.0000e+00, 4.3772e-07], [ 8.8476e-08, 5.6811e-07, 2.4308e-07, ..., 1.9372e-07, 0.0000e+00, 9.8161e-07], ..., [ 2.2352e-08, -4.3102e-06, 3.9116e-07, ..., 3.7439e-07, 0.0000e+00, -8.1137e-06], [-1.9260e-06, 8.6334e-07, -4.6473e-07, ..., 5.0664e-07, 0.0000e+00, 1.8356e-06], [ 1.2768e-06, 4.9733e-07, 4.9546e-07, ..., 3.1665e-08, 0.0000e+00, 8.8196e-07]], device='cuda:0') Epoch 136, bias, value: tensor([-0.0245, -0.0194, -0.0318, 0.0002, 0.0026, 0.0327, 0.0160, -0.0191, 0.0077, -0.0039], device='cuda:0'), grad: tensor([ 1.4380e-06, -1.8599e-06, 2.3115e-06, 6.6683e-06, -1.5553e-07, -1.7043e-07, 5.5041e-07, -1.1809e-05, -2.6450e-06, 5.6364e-06], device='cuda:0') 100 0.0001 changing lr epoch 135, time 213.97, cls_loss 0.0023 cls_loss_mapping 0.0045 cls_loss_causal 0.5100 re_mapping 0.0069 re_causal 0.0191 /// teacc 98.97 lr 0.00010000 Epoch 137, weight, value: tensor([[ 0.0073, -0.0342, -0.0383, ..., -0.1453, -0.0360, -0.0847], [-0.0150, -0.0469, -0.0411, ..., 0.0174, 0.0044, -0.0921], [ 0.0401, -0.0879, -0.0742, ..., 0.0251, -0.1169, 0.0536], ..., [ 0.0050, -0.0193, -0.1126, ..., -0.0958, 0.0164, 0.1042], [ 0.0562, -0.0890, -0.0773, ..., -0.0906, -0.0451, -0.0635], [-0.1257, 0.0122, 0.0991, ..., 0.0728, -0.0459, -0.1031]], device='cuda:0'), grad: tensor([[-3.1944e-07, 2.0768e-07, 1.5087e-07, ..., 3.3528e-08, 0.0000e+00, 6.0350e-07], [ 1.1548e-07, 8.3074e-07, -1.6578e-07, ..., -1.6671e-07, 0.0000e+00, 2.0899e-06], [ 1.6671e-07, 2.1551e-06, 2.1979e-07, ..., 6.7987e-08, 0.0000e+00, -5.2005e-06], ..., [-9.1642e-07, -7.0557e-06, 3.1572e-07, ..., 3.9581e-07, 0.0000e+00, -4.0308e-06], [ 1.6298e-07, 1.1707e-06, 5.3551e-07, ..., 3.9954e-07, 0.0000e+00, 3.0380e-06], [ 7.8231e-07, 2.5034e-06, -2.0433e-06, ..., -2.1681e-06, 0.0000e+00, 3.1758e-06]], device='cuda:0') Epoch 137, bias, value: tensor([-0.0243, -0.0194, -0.0320, 0.0007, 0.0035, 0.0323, 0.0156, -0.0186, 0.0076, -0.0045], device='cuda:0'), grad: tensor([-5.9418e-07, 3.4440e-06, -8.5011e-06, -1.9614e-06, 2.6822e-06, 1.5935e-06, -4.1816e-07, -8.8811e-06, 6.9775e-06, 5.6475e-06], device='cuda:0') 100 0.0001 changing lr epoch 136, time 214.03, cls_loss 0.0023 cls_loss_mapping 0.0050 cls_loss_causal 0.5661 re_mapping 0.0067 re_causal 0.0207 /// teacc 98.94 lr 0.00010000 Epoch 138, weight, value: tensor([[ 0.0089, -0.0337, -0.0381, ..., -0.1451, -0.0363, -0.0846], [-0.0154, -0.0467, -0.0404, ..., 0.0177, 0.0047, -0.0925], [ 0.0401, -0.0880, -0.0749, ..., 0.0252, -0.1172, 0.0542], ..., [ 0.0049, -0.0186, -0.1137, ..., -0.0964, 0.0164, 0.1052], [ 0.0562, -0.0894, -0.0774, ..., -0.0909, -0.0447, -0.0644], [-0.1264, 0.0117, 0.0990, ..., 0.0725, -0.0469, -0.1048]], device='cuda:0'), grad: tensor([[-3.5912e-05, 3.4831e-07, -5.4240e-06, ..., -2.4457e-06, 9.3132e-10, 2.7269e-06], [ 2.2143e-05, 4.0419e-07, 4.2729e-06, ..., 2.2948e-06, 0.0000e+00, 6.8359e-07], [ 2.9113e-06, 5.6904e-07, 7.8883e-07, ..., 4.9546e-07, 0.0000e+00, -2.7582e-05], ..., [ 3.8277e-07, 2.3190e-07, 1.1474e-06, ..., 1.3858e-06, 9.3132e-10, 1.4946e-05], [-5.0440e-06, -7.8082e-06, -8.2329e-06, ..., -5.3197e-06, 2.7940e-09, 8.6948e-06], [ 2.0787e-06, -2.3432e-06, -1.1571e-05, ..., -1.2442e-05, 3.7253e-09, 4.5262e-07]], device='cuda:0') Epoch 138, bias, value: tensor([-2.2879e-02, -1.9259e-02, -3.1616e-02, 2.9890e-05, 3.8349e-03, 3.2057e-02, 1.5197e-02, -1.8279e-02, 7.4792e-03, -5.1000e-03], device='cuda:0'), grad: tensor([-1.0347e-04, 7.1824e-05, -3.0473e-05, 7.2241e-05, 7.9200e-06, 1.3821e-05, 1.8150e-05, 2.6017e-05, -7.2539e-05, -3.3714e-06], device='cuda:0') 100 0.0001 changing lr epoch 137, time 214.18, cls_loss 0.0023 cls_loss_mapping 0.0049 cls_loss_causal 0.5353 re_mapping 0.0072 re_causal 0.0203 /// teacc 99.00 lr 0.00010000 Epoch 139, weight, value: tensor([[ 0.0087, -0.0343, -0.0389, ..., -0.1456, -0.0364, -0.0849], [-0.0159, -0.0473, -0.0406, ..., 0.0176, 0.0047, -0.0932], [ 0.0397, -0.0881, -0.0765, ..., 0.0254, -0.1175, 0.0544], ..., [ 0.0052, -0.0175, -0.1140, ..., -0.0962, 0.0166, 0.1064], [ 0.0564, -0.0897, -0.0775, ..., -0.0911, -0.0450, -0.0646], [-0.1264, 0.0120, 0.0992, ..., 0.0727, -0.0473, -0.1053]], device='cuda:0'), grad: tensor([[ 4.7963e-07, 2.1011e-06, 3.1125e-06, ..., 2.2464e-06, 0.0000e+00, 7.0035e-07], [-2.5518e-07, 4.0457e-06, 2.4661e-06, ..., 1.5572e-06, 0.0000e+00, 2.3730e-06], [ 1.0524e-07, 6.1654e-06, 1.7034e-06, ..., 3.4105e-06, 0.0000e+00, 6.8396e-06], ..., [ 7.2643e-08, 1.3714e-03, 2.2602e-03, ..., 1.6298e-03, 0.0000e+00, -7.0482e-06], [ 9.0338e-08, 9.0823e-06, 6.4187e-06, ..., 5.5246e-06, 0.0000e+00, 6.1654e-06], [ 1.8720e-07, -1.4582e-03, -2.3956e-03, ..., -1.7223e-03, 0.0000e+00, 8.3894e-06]], device='cuda:0') Epoch 139, bias, value: tensor([-2.3504e-02, -1.9865e-02, -3.2235e-02, -9.1996e-05, 3.5770e-03, 3.2123e-02, 1.6044e-02, -1.7537e-02, 7.6777e-03, -4.9101e-03], device='cuda:0'), grad: tensor([ 8.9258e-06, 1.1906e-05, 1.9804e-05, -4.5002e-05, 2.7776e-04, 1.2144e-05, -1.6652e-06, 5.2032e-03, 2.9892e-05, -5.5161e-03], device='cuda:0') 100 0.0001 changing lr epoch 138, time 214.04, cls_loss 0.0024 cls_loss_mapping 0.0039 cls_loss_causal 0.5259 re_mapping 0.0072 re_causal 0.0205 /// teacc 98.97 lr 0.00010000 Epoch 140, weight, value: tensor([[ 0.0092, -0.0354, -0.0389, ..., -0.1460, -0.0366, -0.0859], [-0.0172, -0.0474, -0.0408, ..., 0.0179, 0.0047, -0.0937], [ 0.0394, -0.0887, -0.0772, ..., 0.0253, -0.1177, 0.0543], ..., [ 0.0023, -0.0192, -0.1157, ..., -0.0983, 0.0165, 0.1060], [ 0.0579, -0.0879, -0.0776, ..., -0.0913, -0.0457, -0.0627], [-0.1271, 0.0128, 0.0994, ..., 0.0730, -0.0473, -0.1077]], device='cuda:0'), grad: tensor([[-2.8722e-06, 5.4482e-07, 1.0328e-06, ..., 1.1781e-06, 2.9057e-07, 1.1921e-07], [ 3.2689e-07, -2.2128e-06, -3.4403e-06, ..., -1.4119e-06, 1.5832e-08, 7.8976e-07], [ 3.3993e-07, 8.0466e-07, 5.5879e-07, ..., 4.5821e-07, 6.5193e-09, 8.5868e-07], ..., [ 1.3784e-07, -3.3621e-07, 1.6857e-06, ..., 1.1735e-06, 3.9116e-08, -3.4627e-06], [ 1.0990e-07, 9.5740e-07, 1.3001e-06, ..., 1.2862e-06, 1.2480e-07, 6.8825e-07], [ 8.7544e-07, -1.8135e-05, -3.4213e-05, ..., -4.2200e-05, 4.8429e-08, 4.6100e-07]], device='cuda:0') Epoch 140, bias, value: tensor([-0.0234, -0.0208, -0.0327, 0.0003, 0.0034, 0.0321, 0.0174, -0.0191, 0.0092, -0.0050], device='cuda:0'), grad: tensor([-7.4804e-06, -1.0699e-05, 3.8221e-06, 9.4026e-06, 8.5011e-06, 3.3051e-05, 6.9663e-06, 1.2442e-06, 3.6173e-06, -4.8459e-05], device='cuda:0') 100 0.0001 changing lr epoch 139, time 214.08, cls_loss 0.0027 cls_loss_mapping 0.0058 cls_loss_causal 0.5564 re_mapping 0.0067 re_causal 0.0194 /// teacc 98.94 lr 0.00010000 Epoch 141, weight, value: tensor([[ 0.0095, -0.0363, -0.0395, ..., -0.1467, -0.0372, -0.0865], [-0.0177, -0.0473, -0.0406, ..., 0.0181, 0.0047, -0.0942], [ 0.0392, -0.0890, -0.0763, ..., 0.0252, -0.1184, 0.0531], ..., [ 0.0020, -0.0194, -0.1161, ..., -0.0992, 0.0164, 0.1079], [ 0.0584, -0.0882, -0.0776, ..., -0.0917, -0.0463, -0.0630], [-0.1274, 0.0131, 0.0996, ..., 0.0734, -0.0471, -0.1081]], device='cuda:0'), grad: tensor([[-7.7784e-06, 8.4750e-08, 1.7975e-07, ..., 2.7567e-07, 2.6077e-08, 1.6298e-07], [ 1.4557e-06, 3.7160e-07, 2.9802e-08, ..., -5.8673e-08, 3.9116e-08, 1.0151e-06], [ 1.0626e-06, 1.3104e-06, 1.8720e-07, ..., 2.7474e-07, 1.0338e-07, 4.0494e-06], ..., [ 3.7160e-07, -1.1781e-06, 5.2340e-06, ..., 4.5374e-06, 3.1665e-08, -5.5954e-06], [-6.3144e-07, 7.8883e-07, 1.8300e-06, ..., 2.2743e-06, 6.5193e-08, 1.6661e-06], [ 7.0967e-07, -9.8906e-07, -7.5586e-06, ..., -6.2846e-06, 3.1665e-08, -1.4482e-06]], device='cuda:0') Epoch 141, bias, value: tensor([-0.0235, -0.0209, -0.0337, -0.0014, 0.0032, 0.0338, 0.0168, -0.0183, 0.0096, -0.0050], device='cuda:0'), grad: tensor([-2.0102e-05, 4.9546e-06, 9.9018e-06, 1.5497e-06, -1.4650e-06, 6.4857e-06, 5.5879e-06, 4.4703e-06, 2.1569e-06, -1.3605e-05], device='cuda:0') 100 0.0001 changing lr epoch 140, time 214.08, cls_loss 0.0025 cls_loss_mapping 0.0056 cls_loss_causal 0.5952 re_mapping 0.0066 re_causal 0.0210 /// teacc 98.94 lr 0.00010000 Epoch 142, weight, value: tensor([[ 0.0094, -0.0387, -0.0398, ..., -0.1489, -0.0376, -0.0893], [-0.0176, -0.0473, -0.0401, ..., 0.0183, 0.0047, -0.0942], [ 0.0395, -0.0892, -0.0769, ..., 0.0258, -0.1190, 0.0531], ..., [ 0.0019, -0.0191, -0.1163, ..., -0.0991, 0.0184, 0.1084], [ 0.0584, -0.0886, -0.0778, ..., -0.0923, -0.0466, -0.0636], [-0.1276, 0.0127, 0.0998, ..., 0.0735, -0.0500, -0.1099]], device='cuda:0'), grad: tensor([[ 6.5267e-06, 2.4401e-07, 1.2264e-05, ..., 1.0960e-05, 2.9802e-08, 1.8626e-09], [ 2.9579e-06, 3.7774e-06, 6.3963e-06, ..., 4.7572e-06, 1.0245e-08, 4.4517e-06], [ 4.1947e-06, 1.1986e-06, 7.2271e-06, ..., 5.9158e-06, 4.6566e-09, 1.2601e-06], ..., [ 2.2240e-06, -3.0790e-06, 5.6066e-06, ..., 4.7460e-06, 4.6566e-09, -5.1335e-06], [ 2.1383e-05, -7.0706e-06, 2.4527e-05, ..., 3.8683e-05, 3.8184e-08, 7.7114e-07], [-5.3972e-05, 3.0641e-06, -1.0198e-04, ..., -1.0931e-04, 1.4901e-08, 4.3958e-07]], device='cuda:0') Epoch 142, bias, value: tensor([-0.0243, -0.0204, -0.0339, 0.0011, 0.0031, 0.0319, 0.0170, -0.0181, 0.0094, -0.0052], device='cuda:0'), grad: tensor([ 2.5675e-05, 3.6061e-05, 2.3559e-05, 1.8835e-05, 1.1343e-04, 6.1691e-05, -9.9301e-05, -1.4588e-05, 3.2216e-05, -1.9753e-04], device='cuda:0') 100 0.0001 changing lr epoch 141, time 214.14, cls_loss 0.0024 cls_loss_mapping 0.0056 cls_loss_causal 0.5682 re_mapping 0.0068 re_causal 0.0208 /// teacc 99.02 lr 0.00010000 Epoch 143, weight, value: tensor([[ 0.0098, -0.0387, -0.0397, ..., -0.1494, -0.0379, -0.0892], [-0.0177, -0.0475, -0.0400, ..., 0.0184, 0.0047, -0.0939], [ 0.0393, -0.0889, -0.0776, ..., 0.0255, -0.1192, 0.0536], ..., [ 0.0019, -0.0191, -0.1166, ..., -0.0992, 0.0185, 0.1083], [ 0.0585, -0.0886, -0.0778, ..., -0.0926, -0.0468, -0.0639], [-0.1280, 0.0123, 0.0995, ..., 0.0731, -0.0502, -0.1107]], device='cuda:0'), grad: tensor([[-1.2722e-06, 4.7591e-07, 3.1572e-07, ..., 3.4459e-07, 0.0000e+00, 4.6007e-07], [ 3.0082e-07, 6.6403e-07, -8.9873e-07, ..., -6.3423e-07, 7.4506e-09, 1.4519e-06], [-6.3360e-05, -1.2076e-04, 2.6543e-07, ..., 2.4028e-07, 9.3132e-10, -2.5201e-04], ..., [ 4.5598e-05, 8.4996e-05, 1.8226e-06, ..., 2.0266e-06, -2.2352e-08, 1.7703e-04], [ 1.5646e-05, 2.9370e-05, 6.9570e-07, ..., 1.1520e-06, 5.5879e-09, 6.1214e-05], [ 6.2957e-07, -7.9814e-07, -5.0887e-06, ..., -3.6266e-06, 7.4506e-09, 5.3737e-07]], device='cuda:0') Epoch 143, bias, value: tensor([-0.0240, -0.0199, -0.0337, 0.0001, 0.0039, 0.0331, 0.0156, -0.0183, 0.0095, -0.0057], device='cuda:0'), grad: tensor([-2.0675e-06, -1.1250e-06, -3.5501e-04, 1.5855e-05, 3.5763e-06, -2.3954e-06, 1.1297e-06, 2.5535e-04, 8.9586e-05, -5.1074e-06], device='cuda:0') 100 0.0001 changing lr epoch 142, time 214.06, cls_loss 0.0021 cls_loss_mapping 0.0049 cls_loss_causal 0.5501 re_mapping 0.0068 re_causal 0.0204 /// teacc 98.93 lr 0.00010000 Epoch 144, weight, value: tensor([[ 0.0104, -0.0388, -0.0398, ..., -0.1495, -0.0379, -0.0887], [-0.0178, -0.0472, -0.0400, ..., 0.0184, 0.0047, -0.0938], [ 0.0405, -0.0879, -0.0780, ..., 0.0255, -0.1192, 0.0546], ..., [ 0.0018, -0.0191, -0.1170, ..., -0.0990, 0.0185, 0.1085], [ 0.0582, -0.0896, -0.0778, ..., -0.0928, -0.0468, -0.0661], [-0.1282, 0.0106, 0.0981, ..., 0.0713, -0.0502, -0.1114]], device='cuda:0'), grad: tensor([[-3.5390e-08, 5.2154e-08, 1.6484e-07, ..., 1.9744e-07, 0.0000e+00, 1.8999e-07], [ 1.2573e-07, 1.7509e-07, 8.6613e-08, ..., -1.2107e-07, 0.0000e+00, 7.9349e-07], [-9.1270e-08, 1.0151e-07, 1.1921e-07, ..., 1.2014e-07, 0.0000e+00, -2.8759e-06], ..., [ 4.4703e-08, -3.1199e-07, 1.7360e-06, ..., 1.5283e-06, 0.0000e+00, 1.4342e-07], [-2.2352e-08, 7.0594e-07, 5.9512e-07, ..., 1.3644e-06, 0.0000e+00, 8.3912e-07], [ 1.2200e-07, -1.4603e-06, -5.3570e-06, ..., -4.9844e-06, 0.0000e+00, 3.2596e-07]], device='cuda:0') Epoch 144, bias, value: tensor([-0.0237, -0.0195, -0.0328, 0.0009, 0.0059, 0.0321, 0.0153, -0.0182, 0.0088, -0.0074], device='cuda:0'), grad: tensor([ 6.2119e-07, 2.6077e-06, -4.7199e-06, 1.9614e-06, 3.3285e-06, -6.0815e-07, 8.7824e-07, 3.2373e-06, 2.2352e-08, -7.3537e-06], device='cuda:0') 100 0.0001 changing lr epoch 143, time 214.14, cls_loss 0.0026 cls_loss_mapping 0.0042 cls_loss_causal 0.5118 re_mapping 0.0066 re_causal 0.0188 /// teacc 98.94 lr 0.00010000 Epoch 145, weight, value: tensor([[ 0.0107, -0.0392, -0.0398, ..., -0.1502, -0.0384, -0.0894], [-0.0179, -0.0482, -0.0411, ..., 0.0174, 0.0048, -0.0945], [ 0.0406, -0.0882, -0.0788, ..., 0.0252, -0.1194, 0.0553], ..., [ 0.0018, -0.0190, -0.1180, ..., -0.1000, 0.0185, 0.1088], [ 0.0580, -0.0903, -0.0781, ..., -0.0934, -0.0473, -0.0671], [-0.1284, 0.0113, 0.0992, ..., 0.0726, -0.0502, -0.1119]], device='cuda:0'), grad: tensor([[-7.2271e-07, 6.8918e-08, 1.8254e-07, ..., 1.2293e-07, 7.4506e-09, 1.0245e-07], [ 3.3528e-08, -3.3434e-07, -3.0566e-06, ..., -5.1111e-06, -1.0347e-06, 1.1222e-06], [ 2.7381e-07, 6.1281e-07, 4.1258e-07, ..., 5.2806e-07, 2.6077e-08, 1.0915e-06], ..., [ 2.9802e-08, -4.4256e-06, 1.2675e-06, ..., 1.8012e-06, 3.2689e-07, -4.1351e-06], [ 2.7940e-08, 3.9395e-07, 5.9232e-07, ..., 7.1339e-07, 8.6613e-08, 4.3958e-07], [ 1.4901e-07, 1.3355e-06, -2.1700e-07, ..., 1.1157e-06, 4.6939e-07, 7.9535e-07]], device='cuda:0') Epoch 145, bias, value: tensor([-0.0237, -0.0203, -0.0323, 0.0010, 0.0052, 0.0320, 0.0157, -0.0183, 0.0083, -0.0064], device='cuda:0'), grad: tensor([-2.1663e-06, -1.0893e-05, 3.9712e-06, 1.5602e-05, 8.1304e-07, -9.9540e-06, 5.5879e-09, -5.8115e-06, 2.5425e-06, 5.8934e-06], device='cuda:0') 100 0.0001 changing lr epoch 144, time 214.02, cls_loss 0.0038 cls_loss_mapping 0.0057 cls_loss_causal 0.5343 re_mapping 0.0072 re_causal 0.0188 /// teacc 98.97 lr 0.00010000 Epoch 146, weight, value: tensor([[ 0.0125, -0.0395, -0.0368, ..., -0.1481, -0.0384, -0.0907], [-0.0183, -0.0458, -0.0402, ..., 0.0182, 0.0048, -0.0933], [ 0.0405, -0.0889, -0.0818, ..., 0.0239, -0.1191, 0.0539], ..., [ 0.0019, -0.0199, -0.1186, ..., -0.1011, 0.0185, 0.1110], [ 0.0582, -0.0907, -0.0782, ..., -0.0940, -0.0474, -0.0678], [-0.1287, 0.0110, 0.0979, ..., 0.0723, -0.0502, -0.1139]], device='cuda:0'), grad: tensor([[ 8.0317e-06, 3.7085e-06, 1.4957e-06, ..., 1.6987e-06, 0.0000e+00, 1.1921e-07], [ 3.3025e-06, 1.4976e-06, 3.7905e-07, ..., 4.2655e-07, 0.0000e+00, 1.3839e-06], [ 2.3507e-06, 5.4762e-07, 3.4552e-07, ..., -4.5486e-06, 0.0000e+00, -1.1407e-05], ..., [ 1.8347e-07, -5.5414e-07, 1.6298e-07, ..., 1.2452e-06, 0.0000e+00, 1.6978e-06], [ 3.6240e-05, 1.4335e-05, 4.9472e-06, ..., 3.9339e-06, 0.0000e+00, 1.4761e-06], [ 1.3644e-06, 6.5099e-07, 1.6987e-06, ..., 1.9781e-06, 0.0000e+00, 1.0962e-06]], device='cuda:0') Epoch 146, bias, value: tensor([-0.0207, -0.0191, -0.0337, 0.0005, 0.0053, 0.0325, 0.0138, -0.0172, 0.0080, -0.0082], device='cuda:0'), grad: tensor([ 2.5302e-05, 1.2696e-05, -9.7156e-06, 9.7007e-06, 8.3074e-06, 4.7624e-05, -2.0516e-04, 3.1032e-06, 9.0957e-05, 1.7196e-05], device='cuda:0') 100 0.0001 changing lr epoch 145, time 214.10, cls_loss 0.0019 cls_loss_mapping 0.0038 cls_loss_causal 0.5206 re_mapping 0.0069 re_causal 0.0205 /// teacc 98.92 lr 0.00010000 Epoch 147, weight, value: tensor([[ 0.0113, -0.0421, -0.0373, ..., -0.1487, -0.0384, -0.0912], [-0.0185, -0.0457, -0.0400, ..., 0.0185, 0.0048, -0.0936], [ 0.0401, -0.0893, -0.0825, ..., 0.0238, -0.1191, 0.0541], ..., [ 0.0016, -0.0202, -0.1193, ..., -0.1018, 0.0185, 0.1110], [ 0.0584, -0.0916, -0.0785, ..., -0.0945, -0.0475, -0.0683], [-0.1288, 0.0112, 0.0980, ..., 0.0726, -0.0502, -0.1146]], device='cuda:0'), grad: tensor([[ 2.0396e-07, 1.6950e-07, 9.4436e-07, ..., 1.1008e-06, 0.0000e+00, 2.8778e-07], [ 6.6124e-08, 1.2396e-06, 9.2834e-06, ..., 9.7230e-06, 0.0000e+00, 7.7952e-07], [ 4.6752e-07, 3.2689e-07, 1.8533e-06, ..., 1.5087e-06, 0.0000e+00, -2.9188e-06], ..., [ 1.0431e-07, -6.3330e-08, 7.6741e-06, ..., 8.0243e-06, 0.0000e+00, -5.9791e-07], [-3.3155e-07, 5.4762e-07, 1.5991e-06, ..., 2.0415e-06, 0.0000e+00, 8.9407e-07], [ 4.4703e-07, 2.8443e-06, 3.1948e-05, ..., 3.2276e-05, 0.0000e+00, 4.0233e-07]], device='cuda:0') Epoch 147, bias, value: tensor([-0.0214, -0.0187, -0.0339, 0.0005, 0.0056, 0.0327, 0.0154, -0.0177, 0.0078, -0.0083], device='cuda:0'), grad: tensor([ 2.9132e-06, 1.9610e-05, 3.5204e-07, 2.7195e-06, -1.3447e-04, 8.4341e-06, 1.9401e-05, 1.3664e-05, 3.3043e-06, 6.4194e-05], device='cuda:0') 100 0.0001 changing lr epoch 146, time 214.14, cls_loss 0.0021 cls_loss_mapping 0.0049 cls_loss_causal 0.5289 re_mapping 0.0064 re_causal 0.0194 /// teacc 98.99 lr 0.00010000 Epoch 148, weight, value: tensor([[ 0.0108, -0.0426, -0.0374, ..., -0.1490, -0.0385, -0.0919], [-0.0185, -0.0462, -0.0409, ..., 0.0174, 0.0048, -0.0942], [ 0.0398, -0.0899, -0.0839, ..., 0.0234, -0.1191, 0.0543], ..., [ 0.0016, -0.0197, -0.1197, ..., -0.1024, 0.0185, 0.1112], [ 0.0585, -0.0921, -0.0787, ..., -0.0952, -0.0476, -0.0686], [-0.1290, 0.0113, 0.0984, ..., 0.0731, -0.0502, -0.1154]], device='cuda:0'), grad: tensor([[ 1.1846e-05, 7.4022e-06, -5.5879e-08, ..., 2.0176e-05, 2.7940e-09, 1.1541e-05], [ 3.9935e-05, 5.1707e-06, -3.7253e-09, ..., 1.5190e-06, 9.3132e-10, 8.1718e-05], [ 7.2978e-06, 3.2652e-06, 2.4121e-07, ..., 1.2904e-05, 0.0000e+00, -1.8454e-04], ..., [ 4.5821e-06, 2.8778e-06, 9.8348e-07, ..., 7.1563e-06, 2.7940e-09, 3.6240e-05], [-8.3819e-06, 1.8284e-05, 2.8592e-07, ..., 6.6280e-05, 5.5879e-09, 2.8387e-05], [ 1.9930e-06, 1.2675e-06, -1.9222e-06, ..., 3.4384e-06, 9.3132e-09, 6.7055e-07]], device='cuda:0') Epoch 148, bias, value: tensor([-0.0218, -0.0193, -0.0341, 0.0008, 0.0062, 0.0326, 0.0155, -0.0177, 0.0075, -0.0081], device='cuda:0'), grad: tensor([ 6.2048e-05, 3.0279e-04, -3.7241e-04, 1.2648e-04, 5.8040e-06, -3.5048e-04, 4.4584e-05, 1.0467e-04, 6.7532e-05, 8.8364e-06], device='cuda:0') 100 0.0001 changing lr epoch 147, time 213.82, cls_loss 0.0023 cls_loss_mapping 0.0040 cls_loss_causal 0.5555 re_mapping 0.0064 re_causal 0.0194 /// teacc 98.98 lr 0.00010000 Epoch 149, weight, value: tensor([[ 0.0111, -0.0434, -0.0375, ..., -0.1494, -0.0386, -0.0931], [-0.0189, -0.0465, -0.0408, ..., 0.0177, 0.0048, -0.0946], [ 0.0395, -0.0901, -0.0846, ..., 0.0233, -0.1192, 0.0547], ..., [ 0.0016, -0.0194, -0.1203, ..., -0.1034, 0.0185, 0.1115], [ 0.0584, -0.0926, -0.0790, ..., -0.0958, -0.0476, -0.0691], [-0.1292, 0.0113, 0.0986, ..., 0.0733, -0.0502, -0.1162]], device='cuda:0'), grad: tensor([[-2.1681e-05, 3.5390e-08, 4.2375e-07, ..., 3.8091e-07, 0.0000e+00, 3.4738e-07], [ 5.8115e-07, 1.9372e-07, -2.0154e-06, ..., -2.6803e-06, 0.0000e+00, 4.8336e-07], [ 1.6065e-06, 1.6671e-07, 4.5262e-07, ..., -1.1688e-06, 0.0000e+00, -5.0887e-06], ..., [ 3.1851e-07, 2.6077e-07, 3.2634e-06, ..., 2.9691e-06, 0.0000e+00, 2.3656e-07], [ 1.3681e-06, 8.1584e-07, 1.2787e-06, ..., 1.7155e-06, 0.0000e+00, 1.3737e-06], [ 6.8080e-07, -2.5127e-06, -3.0082e-06, ..., -5.0366e-06, 0.0000e+00, 1.8813e-07]], device='cuda:0') Epoch 149, bias, value: tensor([-0.0218, -0.0194, -0.0340, 0.0009, 0.0067, 0.0324, 0.0158, -0.0179, 0.0071, -0.0081], device='cuda:0'), grad: tensor([-5.2571e-05, -6.2250e-06, -3.5726e-06, 1.2085e-05, -1.2428e-05, 1.1876e-05, 2.7776e-05, 1.5125e-05, 1.0014e-05, -2.2426e-06], device='cuda:0') 100 0.0001 changing lr epoch 148, time 213.65, cls_loss 0.0021 cls_loss_mapping 0.0036 cls_loss_causal 0.5311 re_mapping 0.0064 re_causal 0.0190 /// teacc 99.03 lr 0.00010000 Epoch 150, weight, value: tensor([[ 0.0109, -0.0439, -0.0387, ..., -0.1503, -0.0386, -0.0939], [-0.0177, -0.0466, -0.0409, ..., 0.0181, 0.0048, -0.0951], [ 0.0393, -0.0904, -0.0851, ..., 0.0230, -0.1192, 0.0549], ..., [ 0.0015, -0.0192, -0.1206, ..., -0.1037, 0.0185, 0.1119], [ 0.0579, -0.0929, -0.0790, ..., -0.0970, -0.0477, -0.0694], [-0.1292, 0.0121, 0.0995, ..., 0.0739, -0.0503, -0.1167]], device='cuda:0'), grad: tensor([[ 4.7125e-07, 1.2014e-07, 4.9546e-07, ..., 3.5111e-07, 0.0000e+00, 1.2200e-07], [ 1.0684e-05, 2.2762e-06, -7.9814e-07, ..., -4.3735e-06, 0.0000e+00, 3.0361e-07], [ 7.8753e-06, 1.6373e-06, 5.9418e-07, ..., 4.0866e-06, 0.0000e+00, 3.4459e-08], ..., [ 3.1423e-06, 7.3481e-07, 1.8720e-07, ..., 7.5530e-07, 0.0000e+00, 9.5926e-08], [-2.8402e-05, -5.7258e-06, 4.4424e-07, ..., -3.1199e-06, 0.0000e+00, 5.3085e-07], [ 9.1456e-07, 1.3411e-07, 3.3248e-07, ..., 5.0478e-07, 0.0000e+00, 2.9057e-07]], device='cuda:0') Epoch 150, bias, value: tensor([-0.0235, -0.0191, -0.0340, 0.0005, 0.0052, 0.0327, 0.0179, -0.0176, 0.0066, -0.0069], device='cuda:0'), grad: tensor([ 2.1961e-06, 2.0131e-05, 3.1978e-05, -1.4696e-06, -1.1362e-07, 5.3674e-05, -3.7879e-05, 9.7603e-06, -8.2910e-05, 4.5784e-06], device='cuda:0') 100 0.0001 changing lr epoch 149, time 214.05, cls_loss 0.0019 cls_loss_mapping 0.0032 cls_loss_causal 0.5083 re_mapping 0.0061 re_causal 0.0185 /// teacc 98.93 lr 0.00010000 Epoch 151, weight, value: tensor([[ 0.0110, -0.0440, -0.0388, ..., -0.1505, -0.0386, -0.0946], [-0.0179, -0.0463, -0.0404, ..., 0.0187, 0.0049, -0.0954], [ 0.0393, -0.0906, -0.0855, ..., 0.0231, -0.1192, 0.0557], ..., [ 0.0015, -0.0194, -0.1219, ..., -0.1052, 0.0185, 0.1118], [ 0.0581, -0.0932, -0.0789, ..., -0.0972, -0.0477, -0.0700], [-0.1294, 0.0122, 0.0995, ..., 0.0739, -0.0503, -0.1179]], device='cuda:0'), grad: tensor([[ 1.1409e-06, 3.3807e-07, 1.3011e-06, ..., 2.3227e-06, 4.2841e-08, 1.5246e-06], [ 1.2266e-06, 4.5821e-07, 2.0154e-06, ..., 3.8445e-06, 1.0245e-08, 8.7731e-07], [ 4.4983e-07, 2.0862e-07, 6.0722e-07, ..., 1.1111e-06, 1.5832e-08, 1.2051e-06], ..., [ 3.3341e-07, 9.5926e-08, 6.3889e-07, ..., 5.7310e-05, 3.8184e-08, -1.7993e-06], [ 5.2638e-06, 1.5134e-06, 6.6943e-06, ..., 7.9349e-06, 7.9162e-08, 2.6003e-06], [ 2.0713e-06, -7.1991e-07, -2.0247e-06, ..., 6.5938e-06, 1.9465e-07, 4.6287e-07]], device='cuda:0') Epoch 151, bias, value: tensor([-0.0236, -0.0185, -0.0336, 0.0006, 0.0053, 0.0324, 0.0182, -0.0182, 0.0066, -0.0070], device='cuda:0'), grad: tensor([ 1.9699e-05, 1.0407e-04, 2.4185e-05, 2.2054e-05, -1.9140e-03, -6.9961e-06, 5.6028e-06, 1.5411e-03, 1.0419e-04, 1.0216e-04], device='cuda:0') 100 0.0001 changing lr epoch 150, time 214.00, cls_loss 0.0017 cls_loss_mapping 0.0034 cls_loss_causal 0.5472 re_mapping 0.0061 re_causal 0.0200 /// teacc 99.00 lr 0.00010000 Epoch 152, weight, value: tensor([[ 0.0112, -0.0441, -0.0388, ..., -0.1506, -0.0387, -0.0946], [-0.0180, -0.0466, -0.0408, ..., 0.0184, 0.0049, -0.0957], [ 0.0391, -0.0905, -0.0863, ..., 0.0231, -0.1199, 0.0561], ..., [ 0.0014, -0.0198, -0.1225, ..., -0.1058, 0.0188, 0.1119], [ 0.0583, -0.0928, -0.0788, ..., -0.0972, -0.0478, -0.0701], [-0.1296, 0.0127, 0.0996, ..., 0.0740, -0.0508, -0.1187]], device='cuda:0'), grad: tensor([[-3.4049e-06, 1.3439e-06, 2.3860e-06, ..., 1.4994e-06, 9.3132e-10, 4.4703e-08], [ 1.1642e-07, 1.6317e-06, -1.2554e-06, ..., -3.0175e-06, 7.4506e-08, 2.1700e-06], [ 3.2410e-07, 8.9407e-08, 1.1399e-06, ..., 2.0694e-06, 9.3132e-10, -3.1665e-07], ..., [ 3.3528e-08, -2.2911e-06, 1.9278e-06, ..., 1.4361e-06, -1.4901e-07, -4.5039e-06], [ 2.6729e-07, 1.0245e-06, 7.4413e-07, ..., 7.1526e-07, 4.0047e-08, 1.1660e-06], [ 8.1584e-07, -4.4294e-06, -8.4713e-06, ..., -4.2096e-06, 1.8626e-09, 4.3120e-07]], device='cuda:0') Epoch 152, bias, value: tensor([-0.0234, -0.0191, -0.0335, 0.0002, 0.0057, 0.0325, 0.0180, -0.0188, 0.0072, -0.0069], device='cuda:0'), grad: tensor([-7.2680e-06, -5.9046e-06, 8.4043e-06, 3.8743e-06, 3.3379e-06, 1.2405e-06, 4.8988e-06, -4.6529e-06, 4.9993e-06, -8.9109e-06], device='cuda:0') 100 0.0001 changing lr epoch 151, time 214.14, cls_loss 0.0021 cls_loss_mapping 0.0042 cls_loss_causal 0.5083 re_mapping 0.0061 re_causal 0.0182 /// teacc 99.00 lr 0.00010000 Epoch 153, weight, value: tensor([[ 0.0116, -0.0443, -0.0389, ..., -0.1508, -0.0388, -0.0951], [-0.0182, -0.0468, -0.0405, ..., 0.0188, 0.0049, -0.0969], [ 0.0389, -0.0908, -0.0866, ..., 0.0230, -0.1202, 0.0565], ..., [ 0.0013, -0.0195, -0.1227, ..., -0.1060, 0.0191, 0.1127], [ 0.0583, -0.0929, -0.0788, ..., -0.0974, -0.0482, -0.0708], [-0.1299, 0.0128, 0.0997, ..., 0.0741, -0.0512, -0.1199]], device='cuda:0'), grad: tensor([[-5.7090e-07, 1.5832e-08, 3.8277e-07, ..., -4.0978e-08, 0.0000e+00, 4.0513e-07], [ 7.9162e-08, 7.5437e-08, 1.3504e-07, ..., -6.1840e-07, 4.6566e-09, 8.4378e-07], [ 2.0489e-08, 7.7300e-08, 4.3958e-07, ..., 4.0885e-07, 9.3132e-10, -6.8903e-05], ..., [ 2.4214e-08, -3.0641e-07, 4.5449e-07, ..., 5.6718e-07, -1.3970e-08, 6.1750e-05], [-1.1437e-06, -1.0338e-07, -1.6108e-05, ..., -8.8811e-06, 1.8626e-09, 4.4815e-06], [ 4.7404e-07, -5.9605e-08, 1.2353e-05, ..., 7.2047e-06, 9.3132e-10, 9.3132e-08]], device='cuda:0') Epoch 153, bias, value: tensor([-2.3356e-02, -1.9349e-02, -3.3384e-02, -5.8688e-05, 5.5851e-03, 3.1564e-02, 1.9279e-02, -1.8170e-02, 7.1672e-03, -7.1442e-03], device='cuda:0'), grad: tensor([ 1.4529e-07, 4.7591e-07, -1.0240e-04, 4.9137e-06, 1.6596e-06, 2.3302e-06, 2.0340e-06, 9.4414e-05, -2.6986e-05, 2.3603e-05], device='cuda:0') 100 0.0001 changing lr epoch 152, time 214.17, cls_loss 0.0020 cls_loss_mapping 0.0041 cls_loss_causal 0.5485 re_mapping 0.0063 re_causal 0.0196 /// teacc 98.99 lr 0.00010000 Epoch 154, weight, value: tensor([[ 0.0126, -0.0445, -0.0387, ..., -0.1505, -0.0390, -0.0951], [-0.0187, -0.0466, -0.0403, ..., 0.0193, 0.0059, -0.0979], [ 0.0384, -0.0910, -0.0874, ..., 0.0225, -0.1212, 0.0568], ..., [ 0.0012, -0.0196, -0.1235, ..., -0.1067, 0.0185, 0.1134], [ 0.0581, -0.0931, -0.0789, ..., -0.0975, -0.0484, -0.0713], [-0.1303, 0.0130, 0.0997, ..., 0.0741, -0.0513, -0.1208]], device='cuda:0'), grad: tensor([[ 7.9162e-08, 5.1223e-08, 2.1886e-07, ..., 3.4831e-07, 0.0000e+00, 7.4506e-09], [ 3.3528e-08, 1.5832e-08, -5.1782e-07, ..., -6.0536e-07, 0.0000e+00, 1.8626e-08], [ 2.6077e-08, 1.4901e-08, 1.2666e-07, ..., 1.5832e-07, 0.0000e+00, -5.8673e-08], ..., [ 8.3819e-09, 2.5332e-07, 1.2321e-06, ..., 2.3767e-06, 0.0000e+00, -1.6764e-08], [ 1.0338e-07, 3.0827e-07, 1.4827e-06, ..., 1.9893e-06, 1.0245e-08, 3.7253e-08], [ 8.9407e-08, -4.1723e-07, -3.0734e-06, ..., 6.1952e-06, 1.8626e-09, 2.7008e-08]], device='cuda:0') Epoch 154, bias, value: tensor([-2.2624e-02, -1.9688e-02, -3.3614e-02, -1.0908e-05, 5.4765e-03, 3.1340e-02, 1.9519e-02, -1.7817e-02, 6.9986e-03, -7.3701e-03], device='cuda:0'), grad: tensor([ 8.1398e-07, -3.2187e-06, 5.8115e-07, 3.5428e-06, 1.9949e-06, -1.7956e-05, -6.5472e-07, 5.2154e-06, 4.7162e-06, 4.9509e-06], device='cuda:0') 100 0.0001 changing lr epoch 153, time 214.23, cls_loss 0.0019 cls_loss_mapping 0.0047 cls_loss_causal 0.5166 re_mapping 0.0062 re_causal 0.0183 /// teacc 98.86 lr 0.00010000 Epoch 155, weight, value: tensor([[ 0.0127, -0.0448, -0.0388, ..., -0.1507, -0.0392, -0.0955], [-0.0189, -0.0469, -0.0403, ..., 0.0195, 0.0059, -0.0988], [ 0.0383, -0.0914, -0.0881, ..., 0.0222, -0.1215, 0.0570], ..., [ 0.0008, -0.0191, -0.1238, ..., -0.1067, 0.0187, 0.1141], [ 0.0583, -0.0932, -0.0791, ..., -0.0986, -0.0486, -0.0720], [-0.1305, 0.0135, 0.1002, ..., 0.0744, -0.0516, -0.1216]], device='cuda:0'), grad: tensor([[-2.3842e-07, 2.9337e-08, 3.6275e-07, ..., 4.9174e-07, 0.0000e+00, 1.2573e-08], [ 4.5169e-08, 8.6613e-08, -1.1949e-06, ..., -3.7290e-06, 0.0000e+00, 2.8824e-07], [ 4.7497e-08, 3.5856e-08, 3.3481e-07, ..., 7.1432e-07, 0.0000e+00, 5.7276e-08], ..., [ 2.4680e-08, -6.8918e-08, 8.6706e-07, ..., 2.1551e-06, 0.0000e+00, -6.4354e-07], [ 4.8662e-07, 4.8848e-07, 1.3458e-06, ..., 5.5879e-06, 4.6566e-10, -1.3830e-07], [ 2.6962e-07, -2.4028e-06, -9.6858e-06, ..., -1.0937e-05, 0.0000e+00, 1.8440e-07]], device='cuda:0') Epoch 155, bias, value: tensor([-0.0226, -0.0200, -0.0337, -0.0005, 0.0050, 0.0321, 0.0195, -0.0173, 0.0068, -0.0072], device='cuda:0'), grad: tensor([-5.7369e-06, -8.3596e-06, 6.3404e-06, 3.7942e-06, 1.4275e-05, -8.6650e-06, 3.0771e-06, 3.9265e-06, 7.2680e-06, -1.5959e-05], device='cuda:0') 100 0.0001 changing lr epoch 154, time 214.41, cls_loss 0.0020 cls_loss_mapping 0.0044 cls_loss_causal 0.5239 re_mapping 0.0060 re_causal 0.0184 /// teacc 98.87 lr 0.00010000 Epoch 156, weight, value: tensor([[ 0.0128, -0.0450, -0.0388, ..., -0.1510, -0.0393, -0.0955], [-0.0190, -0.0470, -0.0399, ..., 0.0205, 0.0059, -0.0982], [ 0.0379, -0.0918, -0.0888, ..., 0.0216, -0.1216, 0.0566], ..., [ 0.0007, -0.0207, -0.1249, ..., -0.1078, 0.0187, 0.1132], [ 0.0584, -0.0935, -0.0792, ..., -0.0995, -0.0489, -0.0721], [-0.1307, 0.0145, 0.1009, ..., 0.0753, -0.0516, -0.1216]], device='cuda:0'), grad: tensor([[ 1.1101e-05, 1.5274e-05, 1.5348e-05, ..., 1.3458e-07, 4.6566e-10, 4.2375e-08], [ 2.5937e-07, 4.1071e-07, 3.0920e-07, ..., -1.5786e-07, -1.4435e-08, 9.3132e-08], [ 2.5658e-07, 2.1327e-07, 2.5099e-07, ..., 8.8010e-08, 9.3132e-10, 1.3923e-07], ..., [-3.0734e-08, 5.0664e-07, 1.3281e-06, ..., 1.3327e-06, 2.3283e-09, -2.5425e-07], [ 1.4221e-06, 2.4270e-06, 2.4177e-06, ..., 1.8999e-07, 1.3970e-09, 2.7008e-08], [ 1.6671e-07, -1.5972e-06, -3.6359e-06, ..., -3.8520e-06, 6.0536e-09, 1.3690e-07]], device='cuda:0') Epoch 156, bias, value: tensor([-0.0226, -0.0189, -0.0352, 0.0006, 0.0042, 0.0320, 0.0199, -0.0182, 0.0067, -0.0066], device='cuda:0'), grad: tensor([ 6.3598e-05, 1.3979e-06, 1.2983e-06, 3.7979e-06, 2.1160e-06, 1.1936e-05, -8.9109e-05, 2.2519e-06, 9.3728e-06, -6.7428e-06], device='cuda:0') 100 0.0001 changing lr epoch 155, time 214.43, cls_loss 0.0021 cls_loss_mapping 0.0040 cls_loss_causal 0.4858 re_mapping 0.0065 re_causal 0.0178 /// teacc 99.02 lr 0.00010000 Epoch 157, weight, value: tensor([[ 0.0136, -0.0461, -0.0394, ..., -0.1513, -0.0394, -0.0974], [-0.0191, -0.0472, -0.0398, ..., 0.0208, 0.0059, -0.0990], [ 0.0379, -0.0919, -0.0893, ..., 0.0217, -0.1218, 0.0575], ..., [ 0.0004, -0.0208, -0.1254, ..., -0.1083, 0.0187, 0.1132], [ 0.0584, -0.0939, -0.0790, ..., -0.0998, -0.0491, -0.0727], [-0.1310, 0.0148, 0.1014, ..., 0.0755, -0.0516, -0.1225]], device='cuda:0'), grad: tensor([[-1.4198e-04, 6.6124e-08, -2.0936e-05, ..., 3.6787e-08, 5.1223e-09, 1.4342e-07], [ 3.2708e-06, 3.3947e-07, -1.3318e-07, ..., -9.0059e-07, -1.8300e-07, 7.5158e-07], [ 2.9895e-06, 2.1374e-07, 4.1770e-07, ..., 9.3132e-08, 1.6298e-08, -7.1852e-07], ..., [ 2.7362e-06, -1.7285e-06, 5.0804e-07, ..., 3.2550e-07, -6.0536e-09, -2.5555e-06], [ 1.2694e-06, 4.1025e-07, 5.1549e-07, ..., 5.4156e-07, 4.0978e-08, 1.4082e-06], [ 1.0759e-05, 3.9162e-07, 9.1502e-07, ..., -8.3819e-08, 5.4482e-08, 1.0729e-06]], device='cuda:0') Epoch 157, bias, value: tensor([-0.0228, -0.0190, -0.0346, 0.0013, 0.0041, 0.0313, 0.0197, -0.0183, 0.0065, -0.0063], device='cuda:0'), grad: tensor([-3.5954e-04, 9.0078e-06, 9.2164e-06, 1.4745e-05, 3.8631e-06, 2.7195e-05, 2.5463e-04, 4.5002e-06, 5.7481e-06, 3.0175e-05], device='cuda:0') 100 0.0001 changing lr epoch 156, time 214.16, cls_loss 0.0016 cls_loss_mapping 0.0032 cls_loss_causal 0.5248 re_mapping 0.0061 re_causal 0.0186 /// teacc 99.09 lr 0.00010000 Epoch 158, weight, value: tensor([[ 0.0149, -0.0465, -0.0395, ..., -0.1517, -0.0394, -0.0978], [-0.0199, -0.0481, -0.0403, ..., 0.0206, 0.0059, -0.0997], [ 0.0377, -0.0924, -0.0905, ..., 0.0215, -0.1221, 0.0579], ..., [ 0.0003, -0.0200, -0.1253, ..., -0.1084, 0.0188, 0.1136], [ 0.0582, -0.0945, -0.0792, ..., -0.1003, -0.0511, -0.0732], [-0.1313, 0.0149, 0.1014, ..., 0.0755, -0.0517, -0.1231]], device='cuda:0'), grad: tensor([[-1.1222e-06, 2.2817e-08, 6.7987e-08, ..., 1.1269e-07, 2.7940e-09, 6.7521e-08], [ 6.8452e-08, -6.0070e-08, -1.7546e-06, ..., -2.5146e-06, -5.6345e-08, 2.6310e-07], [ 6.5193e-08, 4.7497e-08, 1.2433e-07, ..., 7.7765e-08, 2.7940e-09, -7.4599e-07], ..., [ 5.0291e-08, 1.7416e-07, 1.1856e-06, ..., 1.2144e-06, 1.1642e-08, 2.3283e-07], [ 8.1491e-08, 2.0396e-07, 1.2554e-06, ..., 1.0589e-06, 2.9802e-08, 3.0547e-07], [ 5.2107e-07, -1.6345e-07, -3.0138e-06, ..., -9.4250e-07, 1.7695e-08, 1.8487e-07]], device='cuda:0') Epoch 158, bias, value: tensor([-0.0221, -0.0201, -0.0345, 0.0008, 0.0043, 0.0315, 0.0199, -0.0175, 0.0059, -0.0066], device='cuda:0'), grad: tensor([-2.8815e-06, -6.8247e-06, -1.3877e-07, -2.7334e-07, 1.9353e-06, 4.4191e-07, 1.6876e-06, 4.9397e-06, 2.9104e-07, 8.1630e-07], device='cuda:0') 100 0.0001 changing lr epoch 157, time 214.31, cls_loss 0.0024 cls_loss_mapping 0.0046 cls_loss_causal 0.5525 re_mapping 0.0061 re_causal 0.0186 /// teacc 99.03 lr 0.00010000 Epoch 159, weight, value: tensor([[ 1.4998e-02, -4.7427e-02, -3.9757e-02, ..., -1.5228e-01, -3.9689e-02, -9.8258e-02], [-2.0227e-02, -4.8230e-02, -4.0027e-02, ..., 2.0955e-02, 6.0889e-03, -1.0024e-01], [ 3.7767e-02, -9.3293e-02, -9.1949e-02, ..., 2.1716e-02, -1.2260e-01, 5.7279e-02], ..., [-7.5509e-05, -2.1655e-02, -1.2873e-01, ..., -1.1154e-01, 1.8671e-02, 1.1481e-01], [ 5.8247e-02, -9.4839e-02, -7.9280e-02, ..., -1.0141e-01, -5.1910e-02, -7.3777e-02], [-1.3170e-01, 1.5335e-02, 1.0065e-01, ..., 7.6024e-02, -5.1766e-02, -1.2262e-01]], device='cuda:0'), grad: tensor([[ 1.4435e-07, 5.1223e-08, 2.7660e-07, ..., 1.9185e-07, 1.7695e-08, 1.9558e-08], [ 3.0734e-08, 1.8999e-07, 3.1572e-07, ..., 2.4680e-07, -8.3819e-09, 2.2352e-07], [ 2.8871e-08, 3.8184e-08, 1.1269e-07, ..., 1.1828e-07, 1.3039e-08, 6.7987e-08], ..., [ 1.8626e-08, -1.2107e-08, 6.1281e-07, ..., 6.9104e-07, -6.4261e-08, -6.3237e-07], [ 3.6601e-07, 1.9372e-07, 3.8464e-07, ..., 1.0338e-06, 1.1176e-08, 9.2201e-08], [ 2.1327e-07, -1.7229e-06, -6.4671e-06, ..., -5.9977e-06, 2.8871e-08, 1.7509e-07]], device='cuda:0') Epoch 159, bias, value: tensor([-0.0222, -0.0200, -0.0354, 0.0005, 0.0061, 0.0321, 0.0201, -0.0188, 0.0057, -0.0070], device='cuda:0'), grad: tensor([ 6.1933e-07, 8.2050e-07, 4.2748e-07, 1.1250e-06, 7.0743e-06, -1.2852e-06, -9.6112e-07, 1.4249e-07, 1.7630e-06, -9.7081e-06], device='cuda:0') 100 0.0001 changing lr epoch 158, time 214.25, cls_loss 0.0021 cls_loss_mapping 0.0041 cls_loss_causal 0.5793 re_mapping 0.0060 re_causal 0.0189 /// teacc 99.07 lr 0.00010000 Epoch 160, weight, value: tensor([[ 0.0150, -0.0478, -0.0400, ..., -0.1532, -0.0407, -0.0994], [-0.0215, -0.0484, -0.0405, ..., 0.0206, 0.0059, -0.1005], [ 0.0384, -0.0937, -0.0926, ..., 0.0210, -0.1235, 0.0574], ..., [-0.0003, -0.0216, -0.1289, ..., -0.1117, 0.0186, 0.1151], [ 0.0575, -0.0942, -0.0795, ..., -0.1034, -0.0547, -0.0740], [-0.1328, 0.0156, 0.1012, ..., 0.0767, -0.0519, -0.1233]], device='cuda:0'), grad: tensor([[-8.1956e-06, 1.7416e-07, -4.0010e-06, ..., 1.2107e-08, 0.0000e+00, 2.3935e-07], [ 8.2981e-07, 1.2163e-06, 1.4221e-06, ..., -2.3935e-07, -4.6566e-09, 3.2317e-06], [ 1.1204e-06, 2.9951e-06, 8.3353e-07, ..., 6.0536e-08, 9.3132e-10, 7.9647e-06], ..., [ 1.8533e-07, -6.4299e-06, 1.4622e-07, ..., 8.4750e-08, 1.8626e-09, -2.1085e-05], [-1.5348e-05, -3.9823e-06, -3.5912e-05, ..., 7.0781e-08, 1.8626e-09, 1.0775e-06], [ 7.4431e-06, 1.2806e-06, 4.6417e-06, ..., 2.7474e-07, 9.3132e-10, 2.8498e-06]], device='cuda:0') Epoch 160, bias, value: tensor([-0.0223, -0.0206, -0.0353, 0.0002, 0.0058, 0.0348, 0.0194, -0.0187, 0.0042, -0.0069], device='cuda:0'), grad: tensor([-3.3140e-05, 1.2688e-05, 2.0072e-05, 6.3539e-05, 1.3314e-05, 1.1064e-05, 7.2420e-05, -3.3379e-05, -1.6594e-04, 3.9518e-05], device='cuda:0') 100 0.0001 changing lr epoch 159, time 214.35, cls_loss 0.0016 cls_loss_mapping 0.0032 cls_loss_causal 0.4942 re_mapping 0.0059 re_causal 0.0181 /// teacc 99.05 lr 0.00010000 Epoch 161, weight, value: tensor([[ 0.0148, -0.0488, -0.0401, ..., -0.1546, -0.0410, -0.0999], [-0.0222, -0.0487, -0.0407, ..., 0.0205, 0.0060, -0.1009], [ 0.0374, -0.0953, -0.0933, ..., 0.0200, -0.1238, 0.0571], ..., [-0.0004, -0.0211, -0.1290, ..., -0.1118, 0.0186, 0.1156], [ 0.0579, -0.0944, -0.0794, ..., -0.1031, -0.0552, -0.0743], [-0.1332, 0.0156, 0.1014, ..., 0.0768, -0.0519, -0.1243]], device='cuda:0'), grad: tensor([[ 9.1270e-08, 3.2783e-07, 3.6508e-07, ..., 2.8126e-07, 5.5879e-09, 3.5763e-06], [ 1.4529e-07, 1.2927e-06, -3.6322e-07, ..., 4.3865e-07, -1.8626e-09, 2.2445e-06], [ 1.8161e-07, 2.3730e-06, 3.1292e-07, ..., 1.7108e-06, 1.8626e-09, -9.3132e-06], ..., [ 9.0338e-08, -6.7055e-05, 4.3493e-07, ..., -5.2750e-05, 3.7253e-09, -1.0437e-04], [-1.3206e-06, 6.1765e-06, -5.6773e-06, ..., 3.5670e-06, 4.0978e-08, 1.1541e-05], [ 1.2405e-06, 5.7966e-05, 4.5151e-06, ..., 4.6670e-05, 1.4901e-08, 8.8751e-05]], device='cuda:0') Epoch 161, bias, value: tensor([-0.0226, -0.0210, -0.0360, 0.0005, 0.0057, 0.0348, 0.0196, -0.0183, 0.0047, -0.0070], device='cuda:0'), grad: tensor([ 9.5293e-06, 5.5358e-06, -1.9699e-05, -3.4064e-05, 3.7253e-06, 4.7356e-05, -2.3227e-06, -2.9659e-04, 2.1964e-05, 2.6441e-04], device='cuda:0') 100 0.0001 changing lr epoch 160, time 214.10, cls_loss 0.0019 cls_loss_mapping 0.0036 cls_loss_causal 0.5275 re_mapping 0.0057 re_causal 0.0174 /// teacc 98.94 lr 0.00010000 Epoch 162, weight, value: tensor([[ 0.0152, -0.0493, -0.0402, ..., -0.1556, -0.0413, -0.1018], [-0.0226, -0.0485, -0.0400, ..., 0.0212, 0.0060, -0.1013], [ 0.0382, -0.0957, -0.0941, ..., 0.0199, -0.1243, 0.0578], ..., [-0.0007, -0.0205, -0.1291, ..., -0.1115, 0.0187, 0.1164], [ 0.0582, -0.0940, -0.0796, ..., -0.1035, -0.0557, -0.0750], [-0.1335, 0.0155, 0.1017, ..., 0.0766, -0.0520, -0.1277]], device='cuda:0'), grad: tensor([[ 8.9873e-07, 3.8184e-08, 8.4471e-07, ..., 1.3132e-07, 0.0000e+00, 9.2201e-08], [ 2.5146e-06, 1.0058e-06, 5.1707e-06, ..., 4.7423e-06, 0.0000e+00, 5.7556e-07], [ 8.7917e-07, 2.7474e-07, 7.4413e-07, ..., 2.2259e-07, 0.0000e+00, 1.5097e-06], ..., [ 6.7055e-08, 9.2201e-08, 4.6846e-07, ..., 6.6683e-07, 0.0000e+00, -9.1270e-08], [-2.6077e-08, 2.3749e-07, 2.4587e-07, ..., 3.0082e-07, 0.0000e+00, 1.1669e-06], [ 1.9092e-07, 6.0536e-07, 2.0843e-06, ..., 2.9840e-06, 0.0000e+00, 3.8091e-07]], device='cuda:0') Epoch 162, bias, value: tensor([-0.0229, -0.0203, -0.0351, 0.0001, 0.0055, 0.0349, 0.0187, -0.0177, 0.0048, -0.0074], device='cuda:0'), grad: tensor([ 2.6654e-06, 1.5289e-05, 5.3719e-06, -9.1195e-06, -1.4976e-05, -1.7723e-06, -7.8827e-06, 1.1604e-06, 2.4661e-06, 6.7391e-06], device='cuda:0') 100 0.0001 changing lr epoch 161, time 214.15, cls_loss 0.0021 cls_loss_mapping 0.0037 cls_loss_causal 0.5365 re_mapping 0.0060 re_causal 0.0182 /// teacc 98.99 lr 0.00010000 Epoch 163, weight, value: tensor([[ 0.0157, -0.0496, -0.0403, ..., -0.1560, -0.0416, -0.1023], [-0.0232, -0.0489, -0.0398, ..., 0.0217, 0.0060, -0.1019], [ 0.0379, -0.0960, -0.0958, ..., 0.0191, -0.1248, 0.0585], ..., [-0.0012, -0.0202, -0.1293, ..., -0.1116, 0.0188, 0.1164], [ 0.0591, -0.0942, -0.0800, ..., -0.1041, -0.0560, -0.0754], [-0.1338, 0.0155, 0.1028, ..., 0.0777, -0.0522, -0.1285]], device='cuda:0'), grad: tensor([[ 1.8375e-06, 7.3854e-07, 6.1467e-08, ..., 3.2503e-06, 5.4017e-08, 2.0489e-08], [ 3.0454e-07, 1.4994e-07, -2.7940e-09, ..., -1.8746e-05, 1.9558e-08, 7.3574e-08], [ 1.6674e-05, 6.7577e-06, 4.7497e-08, ..., 3.4541e-05, 1.0245e-08, -1.0431e-07], ..., [ 4.2003e-07, 6.4261e-08, 2.4587e-07, ..., 4.8093e-06, 1.4249e-07, -8.9407e-08], [ 3.2753e-05, 1.3337e-05, 2.8405e-07, ..., 4.5955e-05, 2.7101e-07, 5.2154e-08], [ 1.6959e-06, -1.0710e-07, -7.3668e-07, ..., 1.6224e-06, 5.1223e-07, 3.8184e-08]], device='cuda:0') Epoch 163, bias, value: tensor([-0.0228, -0.0205, -0.0351, 0.0005, 0.0047, 0.0345, 0.0186, -0.0176, 0.0052, -0.0069], device='cuda:0'), grad: tensor([ 6.2436e-06, -4.6670e-05, 7.0989e-05, 2.2709e-05, 3.3677e-06, -1.7369e-04, 1.7777e-05, 1.1489e-05, 8.3566e-05, 4.2506e-06], device='cuda:0') 100 0.0001 changing lr epoch 162, time 213.89, cls_loss 0.0029 cls_loss_mapping 0.0038 cls_loss_causal 0.5287 re_mapping 0.0067 re_causal 0.0185 /// teacc 98.98 lr 0.00010000 Epoch 164, weight, value: tensor([[ 0.0167, -0.0502, -0.0411, ..., -0.1570, -0.0425, -0.1028], [-0.0236, -0.0490, -0.0396, ..., 0.0219, 0.0065, -0.1022], [ 0.0377, -0.0968, -0.0967, ..., 0.0186, -0.1268, 0.0590], ..., [-0.0013, -0.0204, -0.1307, ..., -0.1124, 0.0191, 0.1164], [ 0.0593, -0.0949, -0.0804, ..., -0.1048, -0.0571, -0.0758], [-0.1341, 0.0174, 0.1038, ..., 0.0789, -0.0524, -0.1290]], device='cuda:0'), grad: tensor([[-3.1590e-06, 2.7008e-08, 8.7544e-08, ..., 5.4017e-08, 4.6566e-09, 1.5646e-07], [ 6.3330e-07, 4.9360e-08, -1.4808e-07, ..., -4.7591e-07, 0.0000e+00, 1.0058e-07], [ 5.3924e-07, 4.4703e-08, 1.9465e-07, ..., 6.5193e-08, 0.0000e+00, -9.4902e-07], ..., [ 1.8626e-07, -1.3039e-08, 2.5239e-07, ..., 2.8778e-07, 0.0000e+00, 3.0268e-07], [ 5.5879e-07, 3.8184e-08, 1.0245e-07, ..., 1.4529e-07, 0.0000e+00, 1.3597e-07], [ 6.1188e-07, 3.9116e-08, 7.2084e-07, ..., 7.5623e-07, 0.0000e+00, 1.1828e-07]], device='cuda:0') Epoch 164, bias, value: tensor([-0.0234, -0.0206, -0.0350, 0.0005, 0.0043, 0.0345, 0.0180, -0.0182, 0.0052, -0.0057], device='cuda:0'), grad: tensor([-7.2941e-06, -3.4552e-07, 7.7765e-07, -1.6950e-07, -2.6729e-06, 1.4752e-06, 1.4408e-06, 1.4221e-06, 1.9539e-06, 3.4161e-06], device='cuda:0') 100 0.0001 changing lr epoch 163, time 213.78, cls_loss 0.0018 cls_loss_mapping 0.0036 cls_loss_causal 0.5553 re_mapping 0.0062 re_causal 0.0188 /// teacc 99.04 lr 0.00010000 Epoch 165, weight, value: tensor([[ 0.0176, -0.0519, -0.0410, ..., -0.1567, -0.0434, -0.1031], [-0.0240, -0.0493, -0.0397, ..., 0.0217, 0.0064, -0.1024], [ 0.0376, -0.0988, -0.0979, ..., 0.0185, -0.1274, 0.0588], ..., [-0.0013, -0.0203, -0.1315, ..., -0.1127, 0.0197, 0.1166], [ 0.0593, -0.0952, -0.0810, ..., -0.1056, -0.0575, -0.0761], [-0.1349, 0.0175, 0.1039, ..., 0.0791, -0.0532, -0.1296]], device='cuda:0'), grad: tensor([[-2.9430e-07, 4.6752e-07, 6.8732e-07, ..., 9.9186e-07, 0.0000e+00, 4.1537e-07], [ 4.1910e-08, 2.1532e-06, 4.1537e-07, ..., 3.1441e-06, 0.0000e+00, 3.7700e-06], [ 7.5437e-08, 2.9534e-05, 7.8883e-07, ..., 5.1856e-05, 0.0000e+00, 5.9336e-05], ..., [ 2.0489e-08, -4.3839e-05, 6.9849e-07, ..., -7.7426e-05, 0.0000e+00, -8.9884e-05], [-2.4028e-07, 6.7726e-06, 3.2578e-06, ..., 1.1280e-05, 0.0000e+00, 2.2873e-06], [ 3.8464e-07, -4.8336e-07, -1.1615e-05, ..., -1.6475e-06, 0.0000e+00, 1.8120e-05]], device='cuda:0') Epoch 165, bias, value: tensor([-0.0230, -0.0205, -0.0355, 0.0007, 0.0046, 0.0344, 0.0181, -0.0181, 0.0050, -0.0060], device='cuda:0'), grad: tensor([ 4.9267e-07, 1.0662e-05, 1.5199e-04, -1.4408e-06, 2.4840e-05, 3.2149e-06, 4.3958e-06, -2.2435e-04, 2.0966e-05, 9.4548e-06], device='cuda:0') 100 0.0001 changing lr epoch 164, time 214.16, cls_loss 0.0019 cls_loss_mapping 0.0030 cls_loss_causal 0.5221 re_mapping 0.0061 re_causal 0.0176 /// teacc 98.92 lr 0.00010000 Epoch 166, weight, value: tensor([[ 0.0178, -0.0518, -0.0419, ..., -0.1571, -0.0441, -0.1035], [-0.0243, -0.0491, -0.0394, ..., 0.0222, 0.0064, -0.1022], [ 0.0366, -0.0992, -0.0988, ..., 0.0181, -0.1279, 0.0570], ..., [-0.0007, -0.0203, -0.1319, ..., -0.1130, 0.0199, 0.1184], [ 0.0594, -0.0958, -0.0812, ..., -0.1060, -0.0577, -0.0770], [-0.1352, 0.0174, 0.1043, ..., 0.0790, -0.0533, -0.1307]], device='cuda:0'), grad: tensor([[ 4.7963e-07, -7.0781e-07, 3.2503e-07, ..., 1.9744e-07, 0.0000e+00, 7.2680e-06], [ 2.3562e-07, -3.7104e-05, -1.9872e-04, ..., -1.4198e-04, 0.0000e+00, 2.7996e-06], [-4.8243e-06, -2.0023e-07, 3.4180e-07, ..., -1.1446e-06, 0.0000e+00, -1.8179e-05], ..., [ 1.6857e-07, 5.7369e-06, 3.0696e-05, ..., 2.2262e-05, 0.0000e+00, 2.4959e-07], [ 2.0023e-07, 3.3807e-07, 1.1362e-06, ..., 2.1216e-06, 0.0000e+00, 6.7689e-06], [ 2.3358e-06, 2.9728e-05, 1.5914e-04, ..., 1.1283e-04, 0.0000e+00, 6.3330e-08]], device='cuda:0') Epoch 166, bias, value: tensor([-0.0235, -0.0201, -0.0373, 0.0004, 0.0049, 0.0345, 0.0178, -0.0169, 0.0048, -0.0059], device='cuda:0'), grad: tensor([ 6.7726e-06, -3.6383e-04, -5.1320e-05, 3.5651e-06, 1.3344e-05, 1.6186e-06, 3.0510e-06, 5.8949e-05, 2.1607e-05, 3.0637e-04], device='cuda:0') 100 0.0001 changing lr epoch 165, time 214.24, cls_loss 0.0019 cls_loss_mapping 0.0042 cls_loss_causal 0.5270 re_mapping 0.0059 re_causal 0.0178 /// teacc 98.99 lr 0.00010000 Epoch 167, weight, value: tensor([[ 0.0180, -0.0531, -0.0422, ..., -0.1576, -0.0446, -0.1050], [-0.0252, -0.0493, -0.0391, ..., 0.0226, 0.0064, -0.1032], [ 0.0367, -0.0992, -0.0992, ..., 0.0180, -0.1282, 0.0571], ..., [-0.0006, -0.0201, -0.1322, ..., -0.1134, 0.0200, 0.1188], [ 0.0596, -0.0964, -0.0813, ..., -0.1065, -0.0577, -0.0777], [-0.1355, 0.0173, 0.1045, ..., 0.0792, -0.0534, -0.1321]], device='cuda:0'), grad: tensor([[-5.2936e-06, 1.6764e-08, 5.6159e-07, ..., 8.8569e-07, 0.0000e+00, 6.9849e-08], [ 4.6380e-07, 9.4995e-08, 9.3691e-07, ..., 2.0936e-06, 0.0000e+00, 2.5239e-07], [ 3.4738e-07, 1.6298e-07, 1.7826e-06, ..., 4.8801e-06, 0.0000e+00, 9.7789e-08], ..., [ 1.3132e-07, 1.2666e-07, 2.7996e-06, ..., 7.6592e-06, 0.0000e+00, 3.3621e-07], [-6.3330e-08, 1.8533e-07, 1.3495e-06, ..., 3.4813e-06, 0.0000e+00, 6.9570e-07], [ 8.3912e-07, -7.1712e-08, 1.9111e-06, ..., 5.6438e-06, 0.0000e+00, 8.1025e-08]], device='cuda:0') Epoch 167, bias, value: tensor([-0.0238, -0.0205, -0.0372, 0.0010, 0.0049, 0.0346, 0.0179, -0.0164, 0.0045, -0.0061], device='cuda:0'), grad: tensor([-2.1175e-05, 8.7246e-06, 1.6958e-05, -4.0792e-06, -6.7830e-05, 6.7689e-06, 4.1388e-06, 2.4498e-05, 1.0923e-05, 2.1070e-05], device='cuda:0') 100 0.0001 changing lr epoch 166, time 214.17, cls_loss 0.0022 cls_loss_mapping 0.0046 cls_loss_causal 0.5218 re_mapping 0.0059 re_causal 0.0172 /// teacc 98.89 lr 0.00010000 Epoch 168, weight, value: tensor([[ 0.0183, -0.0539, -0.0423, ..., -0.1582, -0.0448, -0.1069], [-0.0257, -0.0506, -0.0390, ..., 0.0229, 0.0064, -0.1043], [ 0.0365, -0.0997, -0.1003, ..., 0.0177, -0.1283, 0.0575], ..., [-0.0008, -0.0194, -0.1327, ..., -0.1140, 0.0201, 0.1192], [ 0.0595, -0.0966, -0.0828, ..., -0.1080, -0.0580, -0.0780], [-0.1352, 0.0173, 0.1050, ..., 0.0797, -0.0535, -0.1332]], device='cuda:0'), grad: tensor([[ 1.2219e-06, 6.5193e-09, 1.0766e-06, ..., 9.2201e-08, 3.7253e-09, 1.0245e-08], [ 6.3330e-08, 1.0990e-07, 4.9081e-07, ..., 3.4086e-07, 9.3132e-10, 3.3993e-07], [ 8.5123e-07, 1.4901e-08, 1.4519e-06, ..., 1.3411e-07, 0.0000e+00, 2.0489e-08], ..., [ 1.2107e-08, -1.9558e-08, 7.0222e-07, ..., 7.3668e-07, 1.8626e-09, -5.3924e-07], [-3.5390e-08, 4.5635e-08, -9.3132e-09, ..., 1.4901e-07, 1.9558e-08, 1.2666e-07], [ 1.4622e-07, 5.3085e-07, 9.3728e-06, ..., 8.2031e-06, 1.6764e-08, 8.7544e-08]], device='cuda:0') Epoch 168, bias, value: tensor([-0.0238, -0.0214, -0.0371, 0.0012, 0.0050, 0.0344, 0.0180, -0.0161, 0.0040, -0.0058], device='cuda:0'), grad: tensor([ 3.6657e-06, -5.1130e-07, 5.2415e-06, 1.6680e-06, -2.0131e-05, 1.1176e-06, -9.9093e-06, 8.4657e-07, 2.2631e-07, 1.7792e-05], device='cuda:0') 100 0.0001 changing lr epoch 167, time 214.40, cls_loss 0.0037 cls_loss_mapping 0.0062 cls_loss_causal 0.5055 re_mapping 0.0061 re_causal 0.0172 /// teacc 98.92 lr 0.00010000 Epoch 169, weight, value: tensor([[ 0.0194, -0.0543, -0.0424, ..., -0.1585, -0.0451, -0.1079], [-0.0262, -0.0540, -0.0365, ..., 0.0222, 0.0065, -0.1071], [ 0.0364, -0.1000, -0.1013, ..., 0.0172, -0.1290, 0.0583], ..., [-0.0010, -0.0184, -0.1331, ..., -0.1145, 0.0200, 0.1204], [ 0.0599, -0.0971, -0.0849, ..., -0.1110, -0.0581, -0.0786], [-0.1357, 0.0173, 0.1050, ..., 0.0795, -0.0536, -0.1341]], device='cuda:0'), grad: tensor([[-1.0617e-07, 2.0489e-07, 5.5879e-08, ..., 1.3039e-08, 0.0000e+00, 5.0478e-07], [ 5.4948e-08, 1.1317e-05, 6.3218e-06, ..., -5.9977e-07, 0.0000e+00, 1.5888e-06], [-1.5944e-06, 4.7963e-07, 1.4808e-07, ..., 4.0047e-08, 0.0000e+00, -7.5512e-06], ..., [ 1.0058e-07, -2.1026e-05, -1.2495e-05, ..., 2.3190e-07, 0.0000e+00, -1.9651e-06], [ 1.2470e-06, 2.0862e-07, 2.2072e-07, ..., 6.9849e-08, 0.0000e+00, 6.2883e-06], [ 8.4750e-08, 1.1176e-05, 1.6868e-05, ..., 9.7603e-06, 0.0000e+00, 1.2685e-06]], device='cuda:0') Epoch 169, bias, value: tensor([-0.0235, -0.0223, -0.0367, -0.0023, 0.0052, 0.0380, 0.0176, -0.0145, 0.0014, -0.0062], device='cuda:0'), grad: tensor([ 3.9581e-07, 4.6134e-05, -1.4365e-05, -2.5816e-06, -1.4611e-05, 2.0768e-06, -2.4214e-08, -8.6546e-05, 1.3381e-05, 5.6267e-05], device='cuda:0') 100 0.0001 changing lr epoch 168, time 214.21, cls_loss 0.0023 cls_loss_mapping 0.0040 cls_loss_causal 0.5158 re_mapping 0.0063 re_causal 0.0183 /// teacc 98.94 lr 0.00010000 Epoch 170, weight, value: tensor([[ 0.0198, -0.0546, -0.0424, ..., -0.1590, -0.0455, -0.1098], [-0.0271, -0.0546, -0.0363, ..., 0.0220, 0.0065, -0.1086], [ 0.0362, -0.1007, -0.1016, ..., 0.0172, -0.1290, 0.0576], ..., [-0.0012, -0.0183, -0.1339, ..., -0.1150, 0.0200, 0.1223], [ 0.0598, -0.0976, -0.0846, ..., -0.1115, -0.0626, -0.0790], [-0.1359, 0.0173, 0.1053, ..., 0.0799, -0.0536, -0.1353]], device='cuda:0'), grad: tensor([[ 5.1223e-08, 9.3132e-10, 2.5146e-08, ..., 1.6764e-08, 0.0000e+00, 1.2852e-07], [ 3.7253e-08, 1.5832e-08, -2.4401e-07, ..., -4.0606e-07, 0.0000e+00, 1.6671e-07], [-1.2713e-06, 4.0513e-07, 3.9116e-08, ..., 1.5646e-07, 0.0000e+00, -1.8906e-07], ..., [ 2.6170e-07, -4.7777e-07, 1.6298e-07, ..., -5.2154e-08, 0.0000e+00, -2.9579e-06], [ 6.5099e-07, 8.3819e-09, 1.1176e-08, ..., 5.2154e-08, 0.0000e+00, 2.2352e-06], [ 1.3039e-08, 2.5146e-08, 9.3132e-10, ..., 1.2852e-07, -4.6566e-09, 3.1944e-07]], device='cuda:0') Epoch 170, bias, value: tensor([-0.0235, -0.0231, -0.0380, -0.0031, 0.0051, 0.0386, 0.0176, -0.0127, 0.0018, -0.0068], device='cuda:0'), grad: tensor([ 3.1665e-07, -5.9605e-07, -2.7791e-06, 2.9523e-07, 3.2876e-07, 8.6240e-07, -2.4494e-07, -2.6263e-06, 3.5763e-06, 8.6427e-07], device='cuda:0') 100 0.0001 changing lr epoch 169, time 214.20, cls_loss 0.0023 cls_loss_mapping 0.0052 cls_loss_causal 0.5366 re_mapping 0.0062 re_causal 0.0180 /// teacc 98.99 lr 0.00010000 Epoch 171, weight, value: tensor([[ 0.0198, -0.0550, -0.0426, ..., -0.1601, -0.0471, -0.1106], [-0.0274, -0.0546, -0.0363, ..., 0.0220, 0.0069, -0.1085], [ 0.0365, -0.1010, -0.1024, ..., 0.0173, -0.1329, 0.0578], ..., [-0.0017, -0.0186, -0.1351, ..., -0.1157, 0.0209, 0.1222], [ 0.0596, -0.0981, -0.0846, ..., -0.1119, -0.0630, -0.0803], [-0.1361, 0.0178, 0.1057, ..., 0.0805, -0.0543, -0.1358]], device='cuda:0'), grad: tensor([[-8.7544e-08, 9.1568e-06, 3.8743e-07, ..., 2.0280e-05, 0.0000e+00, 1.8984e-05], [ 3.2596e-08, 2.6543e-06, 6.6217e-07, ..., 5.9083e-06, 0.0000e+00, 4.2841e-06], [ 1.0896e-07, 1.1986e-06, 1.3309e-06, ..., 2.2352e-06, 0.0000e+00, -1.8537e-05], ..., [-1.9558e-08, 1.9083e-03, 4.2003e-07, ..., 4.2419e-03, -2.7940e-09, 2.4567e-03], [-3.1665e-07, 6.9756e-07, 7.9349e-07, ..., 1.3234e-06, 0.0000e+00, 7.8827e-06], [ 1.2480e-07, -1.9312e-03, 3.3528e-08, ..., -4.2915e-03, 9.3132e-10, -2.4853e-03]], device='cuda:0') Epoch 171, bias, value: tensor([-0.0236, -0.0231, -0.0381, -0.0025, 0.0048, 0.0387, 0.0179, -0.0132, 0.0015, -0.0063], device='cuda:0'), grad: tensor([ 6.2823e-05, 1.6809e-05, -3.1650e-05, 3.1888e-05, 5.9903e-06, 1.2815e-05, 7.7207e-07, 1.0109e-02, 1.7375e-05, -1.0231e-02], device='cuda:0') 100 0.0001 changing lr epoch 170, time 214.07, cls_loss 0.0019 cls_loss_mapping 0.0040 cls_loss_causal 0.5417 re_mapping 0.0058 re_causal 0.0185 /// teacc 98.94 lr 0.00010000 Epoch 172, weight, value: tensor([[ 0.0200, -0.0553, -0.0429, ..., -0.1607, -0.0490, -0.1113], [-0.0277, -0.0551, -0.0361, ..., 0.0210, 0.0069, -0.1085], [ 0.0365, -0.1013, -0.1030, ..., 0.0167, -0.1337, 0.0579], ..., [-0.0018, -0.0205, -0.1350, ..., -0.1185, 0.0218, 0.1208], [ 0.0599, -0.0983, -0.0843, ..., -0.1121, -0.0631, -0.0805], [-0.1365, 0.0194, 0.1057, ..., 0.0824, -0.0552, -0.1335]], device='cuda:0'), grad: tensor([[ 9.5181e-07, 1.1176e-08, 2.0582e-07, ..., 1.5832e-07, 0.0000e+00, 4.9174e-07], [ 2.1793e-07, 4.7497e-08, 1.2014e-07, ..., -3.5409e-06, 0.0000e+00, -4.8131e-06], [ 2.2333e-06, 4.3772e-08, 2.0862e-07, ..., 2.9206e-06, 0.0000e+00, 4.9882e-06], ..., [ 9.2946e-07, -3.9395e-07, 3.6787e-07, ..., 7.8697e-07, 0.0000e+00, 3.1106e-07], [-5.7667e-06, 2.2352e-08, -8.5011e-06, ..., -6.5118e-06, 0.0000e+00, -2.6152e-06], [ 9.1270e-08, 4.1910e-07, 5.4240e-06, ..., 4.2915e-06, 9.3132e-10, 8.3074e-07]], device='cuda:0') Epoch 172, bias, value: tensor([-0.0236, -0.0234, -0.0383, -0.0027, 0.0049, 0.0392, 0.0175, -0.0148, 0.0017, -0.0050], device='cuda:0'), grad: tensor([ 6.2622e-06, -3.2801e-06, 3.0994e-05, 7.4096e-06, 2.6338e-06, 2.5690e-05, 5.8375e-06, 5.2378e-06, -1.4400e-04, 6.3241e-05], device='cuda:0') 100 0.0001 changing lr epoch 171, time 214.01, cls_loss 0.0018 cls_loss_mapping 0.0039 cls_loss_causal 0.5290 re_mapping 0.0056 re_causal 0.0175 /// teacc 99.03 lr 0.00010000 Epoch 173, weight, value: tensor([[ 0.0200, -0.0556, -0.0430, ..., -0.1610, -0.0495, -0.1118], [-0.0286, -0.0551, -0.0363, ..., 0.0210, 0.0069, -0.1083], [ 0.0363, -0.1016, -0.1034, ..., 0.0167, -0.1338, 0.0578], ..., [-0.0019, -0.0197, -0.1337, ..., -0.1178, 0.0230, 0.1211], [ 0.0607, -0.0981, -0.0840, ..., -0.1120, -0.0631, -0.0810], [-0.1369, 0.0182, 0.1051, ..., 0.0815, -0.0569, -0.1342]], device='cuda:0'), grad: tensor([[ 1.9558e-08, 1.0245e-08, 1.7788e-07, ..., 6.8918e-08, 3.7253e-09, 1.5181e-07], [ 2.1420e-08, 4.0978e-08, 0.0000e+00, ..., -7.4506e-09, 5.5879e-09, 1.3225e-07], [-1.7416e-07, 3.7253e-08, 2.2352e-08, ..., 1.5832e-08, 2.7940e-09, -7.1712e-07], ..., [ 1.9558e-08, -2.3469e-07, 9.5926e-08, ..., 5.6811e-08, -2.8871e-08, -5.5507e-07], [ 1.6857e-07, 4.5635e-08, 5.7742e-08, ..., 3.9954e-07, 3.6322e-08, 2.9244e-07], [ 1.0896e-07, -3.2596e-08, -1.5488e-06, ..., -7.9535e-07, 1.8626e-08, 2.9709e-07]], device='cuda:0') Epoch 173, bias, value: tensor([-0.0237, -0.0234, -0.0387, -0.0026, 0.0052, 0.0391, 0.0177, -0.0143, 0.0021, -0.0061], device='cuda:0'), grad: tensor([ 4.0419e-07, 2.9709e-07, -1.4640e-06, 1.1427e-06, 2.2408e-06, -1.0887e-06, 1.8440e-07, -9.2946e-07, 1.1148e-06, -1.8971e-06], device='cuda:0') 100 0.0001 changing lr epoch 172, time 213.83, cls_loss 0.0019 cls_loss_mapping 0.0037 cls_loss_causal 0.5183 re_mapping 0.0056 re_causal 0.0171 /// teacc 98.86 lr 0.00010000 Epoch 174, weight, value: tensor([[ 0.0198, -0.0559, -0.0435, ..., -0.1613, -0.0498, -0.1124], [-0.0291, -0.0553, -0.0362, ..., 0.0211, 0.0067, -0.1085], [ 0.0366, -0.1018, -0.1038, ..., 0.0168, -0.1337, 0.0582], ..., [-0.0020, -0.0192, -0.1336, ..., -0.1177, 0.0238, 0.1214], [ 0.0599, -0.0982, -0.0839, ..., -0.1125, -0.0632, -0.0822], [-0.1374, 0.0179, 0.1048, ..., 0.0811, -0.0574, -0.1344]], device='cuda:0'), grad: tensor([[ 6.5193e-09, 2.4214e-08, 5.0012e-07, ..., 5.6811e-07, 0.0000e+00, 8.0094e-08], [ 1.8626e-09, 2.5146e-08, 1.3970e-08, ..., 2.4214e-08, 0.0000e+00, 8.9407e-08], [ 1.8626e-09, 8.3819e-09, 1.9744e-07, ..., 2.0955e-07, 0.0000e+00, -1.5358e-06], ..., [ 9.3132e-10, 6.8918e-08, 5.9791e-07, ..., 9.4250e-07, 0.0000e+00, 6.2585e-07], [ 2.2352e-08, 3.8184e-08, 9.5274e-07, ..., 1.1232e-06, 5.5879e-09, 2.6729e-07], [ 3.7253e-09, -4.5821e-07, -3.7272e-06, ..., -5.1111e-06, 9.3132e-10, 5.4948e-08]], device='cuda:0') Epoch 174, bias, value: tensor([-0.0241, -0.0234, -0.0380, -0.0043, 0.0056, 0.0399, 0.0175, -0.0140, 0.0018, -0.0066], device='cuda:0'), grad: tensor([ 1.5069e-06, 1.1362e-07, -1.3746e-06, -1.8841e-06, 2.4512e-06, 4.2170e-06, 1.4901e-07, 2.4363e-06, 3.1516e-06, -1.0766e-05], device='cuda:0') 100 0.0001 changing lr epoch 173, time 214.19, cls_loss 0.0028 cls_loss_mapping 0.0046 cls_loss_causal 0.5263 re_mapping 0.0057 re_causal 0.0168 /// teacc 98.90 lr 0.00010000 Epoch 175, weight, value: tensor([[ 0.0206, -0.0564, -0.0411, ..., -0.1617, -0.0512, -0.1136], [-0.0297, -0.0554, -0.0363, ..., 0.0211, 0.0065, -0.1092], [ 0.0364, -0.1043, -0.1053, ..., 0.0171, -0.1342, 0.0589], ..., [-0.0021, -0.0191, -0.1340, ..., -0.1178, 0.0241, 0.1215], [ 0.0602, -0.0986, -0.0837, ..., -0.1127, -0.0638, -0.0834], [-0.1384, 0.0178, 0.1059, ..., 0.0832, -0.0575, -0.1347]], device='cuda:0'), grad: tensor([[-2.9802e-08, 3.2596e-08, 1.5087e-07, ..., 1.7975e-07, 0.0000e+00, 3.7253e-09], [ 1.7975e-07, 5.6997e-07, 1.9763e-06, ..., 2.9616e-06, 0.0000e+00, 2.2352e-08], [ 1.3970e-08, 9.3132e-09, 2.4214e-08, ..., 3.5390e-08, 0.0000e+00, -2.0489e-08], ..., [ 1.0245e-08, 8.7544e-08, 4.7125e-07, ..., 8.8289e-07, 0.0000e+00, 1.9558e-08], [-7.8231e-08, 1.0245e-07, 3.3993e-07, ..., 4.8336e-07, 0.0000e+00, 1.9558e-08], [ 1.3225e-07, -9.9931e-07, -3.6955e-06, ..., -5.2005e-06, 0.0000e+00, 1.3970e-08]], device='cuda:0') Epoch 175, bias, value: tensor([-0.0214, -0.0235, -0.0374, -0.0040, 0.0040, 0.0397, 0.0168, -0.0135, 0.0018, -0.0073], device='cuda:0'), grad: tensor([ 1.3132e-07, 5.3719e-06, 1.1828e-07, 3.9767e-07, -8.3540e-07, 1.3504e-07, -5.0943e-07, 2.2091e-06, -6.0536e-07, -6.4000e-06], device='cuda:0') 100 0.0001 changing lr epoch 174, time 214.01, cls_loss 0.0016 cls_loss_mapping 0.0029 cls_loss_causal 0.4932 re_mapping 0.0058 re_causal 0.0173 /// teacc 99.04 lr 0.00010000 Epoch 176, weight, value: tensor([[ 0.0202, -0.0569, -0.0412, ..., -0.1622, -0.0513, -0.1144], [-0.0301, -0.0556, -0.0363, ..., 0.0212, 0.0064, -0.1100], [ 0.0336, -0.1057, -0.1056, ..., 0.0177, -0.1342, 0.0587], ..., [-0.0019, -0.0188, -0.1342, ..., -0.1179, 0.0241, 0.1223], [ 0.0630, -0.0978, -0.0836, ..., -0.1124, -0.0640, -0.0842], [-0.1390, 0.0177, 0.1059, ..., 0.0832, -0.0576, -0.1348]], device='cuda:0'), grad: tensor([[-1.5367e-07, 1.0245e-08, 2.8871e-08, ..., 1.6857e-07, 0.0000e+00, 3.0734e-08], [ 1.3970e-08, 5.3085e-08, 2.7269e-05, ..., 1.7777e-05, 0.0000e+00, 1.3970e-07], [ 5.5879e-08, 5.9605e-08, 4.3400e-07, ..., 2.7474e-07, 0.0000e+00, 6.1467e-08], ..., [ 5.5879e-09, -2.2259e-07, 3.1814e-06, ..., 2.1104e-06, 0.0000e+00, -6.9290e-07], [-1.0617e-07, 9.3132e-08, 1.4286e-06, ..., 1.0626e-06, 0.0000e+00, 1.9744e-07], [ 1.3597e-07, -6.7987e-08, 1.7993e-06, ..., 1.1083e-06, 0.0000e+00, 8.8476e-08]], device='cuda:0') Epoch 176, bias, value: tensor([-0.0214, -0.0237, -0.0386, -0.0038, 0.0040, 0.0395, 0.0172, -0.0131, 0.0028, -0.0075], device='cuda:0'), grad: tensor([-5.3924e-07, 5.3793e-05, 1.1120e-06, 3.6601e-07, -7.0333e-05, -6.3609e-07, 3.8408e-06, 5.1185e-06, 2.7735e-06, 4.3809e-06], device='cuda:0') 100 0.0001 changing lr epoch 175, time 214.24, cls_loss 0.0015 cls_loss_mapping 0.0030 cls_loss_causal 0.5381 re_mapping 0.0056 re_causal 0.0180 /// teacc 98.99 lr 0.00010000 Epoch 177, weight, value: tensor([[ 0.0201, -0.0572, -0.0414, ..., -0.1629, -0.0514, -0.1152], [-0.0309, -0.0557, -0.0364, ..., 0.0212, 0.0066, -0.1102], [ 0.0335, -0.1057, -0.1056, ..., 0.0179, -0.1344, 0.0592], ..., [-0.0022, -0.0190, -0.1348, ..., -0.1180, 0.0240, 0.1223], [ 0.0634, -0.0980, -0.0839, ..., -0.1128, -0.0641, -0.0849], [-0.1393, 0.0178, 0.1058, ..., 0.0829, -0.0576, -0.1349]], device='cuda:0'), grad: tensor([[ 6.0350e-07, 4.9919e-07, 1.8664e-06, ..., 3.1665e-08, 0.0000e+00, 2.5798e-06], [ 1.8999e-07, 1.9930e-07, -6.0536e-08, ..., -3.3714e-07, 9.3132e-10, 4.0047e-07], [ 1.0524e-07, -6.1929e-05, -1.1033e-04, ..., 1.0524e-07, 9.3132e-10, -3.8481e-04], ..., [ 1.7695e-08, 8.5235e-06, 1.2945e-07, ..., 1.3225e-07, 1.3504e-07, 5.2005e-06], [ 8.0559e-07, 6.4261e-07, 4.8839e-06, ..., 5.7742e-08, 9.3132e-10, 1.7416e-06], [ 2.2631e-07, 1.1548e-07, -3.4459e-08, ..., -5.0012e-07, 9.3132e-10, 7.0594e-07]], device='cuda:0') Epoch 177, bias, value: tensor([-0.0216, -0.0237, -0.0385, -0.0037, 0.0043, 0.0395, 0.0174, -0.0132, 0.0028, -0.0077], device='cuda:0'), grad: tensor([ 8.0615e-06, 7.9349e-07, -7.3719e-04, -9.9018e-06, 7.1144e-04, 3.4366e-06, -1.1194e-06, 1.1683e-05, 1.1094e-05, 1.5264e-06], device='cuda:0') 100 0.0001 changing lr epoch 176, time 214.20, cls_loss 0.0018 cls_loss_mapping 0.0031 cls_loss_causal 0.5071 re_mapping 0.0054 re_causal 0.0163 /// teacc 98.94 lr 0.00010000 Epoch 178, weight, value: tensor([[ 0.0201, -0.0588, -0.0415, ..., -0.1648, -0.0536, -0.1158], [-0.0316, -0.0558, -0.0365, ..., 0.0213, 0.0093, -0.1105], [ 0.0339, -0.1051, -0.1049, ..., 0.0188, -0.1376, 0.0606], ..., [-0.0026, -0.0191, -0.1351, ..., -0.1182, 0.0233, 0.1222], [ 0.0635, -0.0985, -0.0838, ..., -0.1130, -0.0651, -0.0859], [-0.1398, 0.0179, 0.1058, ..., 0.0830, -0.0577, -0.1352]], device='cuda:0'), grad: tensor([[-1.1977e-06, 4.2841e-08, 1.4156e-07, ..., 1.0431e-07, 0.0000e+00, 7.2643e-08], [ 1.0990e-07, 1.5832e-07, 1.0710e-07, ..., 1.0151e-07, 3.7253e-09, 1.8347e-07], [ 5.9605e-08, 9.6858e-08, 4.7497e-08, ..., 2.4214e-08, 9.3132e-09, 7.0781e-08], ..., [ 2.8871e-08, -9.9652e-07, 1.2014e-07, ..., 1.3690e-07, -1.9558e-08, -1.4938e-06], [ 3.9116e-07, 1.4622e-07, 2.1309e-06, ..., 4.6939e-06, 2.7940e-09, 1.7509e-07], [ 3.7625e-07, 5.2527e-07, -5.5693e-07, ..., -3.6415e-07, -9.3132e-10, 1.1502e-06]], device='cuda:0') Epoch 178, bias, value: tensor([-0.0218, -0.0237, -0.0374, -0.0036, 0.0041, 0.0393, 0.0184, -0.0134, 0.0028, -0.0078], device='cuda:0'), grad: tensor([-4.1425e-06, 1.1427e-06, 5.1316e-07, 1.0123e-06, 8.0746e-07, -4.8503e-06, -9.3877e-07, -6.0946e-06, 5.7742e-06, 6.7577e-06], device='cuda:0') 100 0.0001 changing lr epoch 177, time 214.20, cls_loss 0.0017 cls_loss_mapping 0.0037 cls_loss_causal 0.5075 re_mapping 0.0056 re_causal 0.0166 /// teacc 98.97 lr 0.00010000 Epoch 179, weight, value: tensor([[ 0.0207, -0.0608, -0.0422, ..., -0.1662, -0.0542, -0.1164], [-0.0321, -0.0560, -0.0360, ..., 0.0216, 0.0096, -0.1108], [ 0.0337, -0.1054, -0.1061, ..., 0.0198, -0.1381, 0.0610], ..., [-0.0028, -0.0190, -0.1354, ..., -0.1184, 0.0232, 0.1222], [ 0.0642, -0.0996, -0.0845, ..., -0.1133, -0.0654, -0.0869], [-0.1402, 0.0181, 0.1061, ..., 0.0830, -0.0578, -0.1352]], device='cuda:0'), grad: tensor([[ 1.1176e-07, 1.5832e-08, 1.4715e-07, ..., 2.4494e-07, 0.0000e+00, 3.6322e-08], [ 4.7032e-08, 1.1548e-07, -6.7987e-08, ..., -9.6858e-08, 0.0000e+00, 2.0815e-07], [-6.2445e-07, 3.9116e-08, 6.3330e-08, ..., 5.4017e-08, 0.0000e+00, -9.5833e-07], ..., [ 5.0291e-08, 4.0978e-08, 1.0990e-07, ..., 1.6671e-07, -0.0000e+00, 7.4506e-08], [ 4.6333e-07, 2.7940e-08, 1.8906e-07, ..., 3.2596e-07, 4.6566e-10, 1.0189e-06], [ 8.3819e-08, -3.2596e-09, 7.7765e-08, ..., 1.7043e-07, 4.6566e-10, 3.8184e-08]], device='cuda:0') Epoch 179, bias, value: tensor([-0.0220, -0.0236, -0.0374, -0.0031, 0.0042, 0.0392, 0.0183, -0.0135, 0.0027, -0.0076], device='cuda:0'), grad: tensor([ 7.5810e-07, 3.7486e-07, -1.8571e-06, -1.3001e-05, -4.1584e-07, 1.2495e-05, -2.0722e-07, 7.0920e-07, 1.9744e-07, 9.3039e-07], device='cuda:0') 100 0.0001 changing lr epoch 178, time 214.02, cls_loss 0.0017 cls_loss_mapping 0.0033 cls_loss_causal 0.5210 re_mapping 0.0054 re_causal 0.0166 /// teacc 99.01 lr 0.00010000 Epoch 180, weight, value: tensor([[ 0.0214, -0.0613, -0.0427, ..., -0.1662, -0.0550, -0.1169], [-0.0353, -0.0555, -0.0351, ..., 0.0219, 0.0096, -0.1086], [ 0.0336, -0.1058, -0.1067, ..., 0.0199, -0.1382, 0.0611], ..., [-0.0030, -0.0196, -0.1374, ..., -0.1190, 0.0232, 0.1207], [ 0.0648, -0.0998, -0.0846, ..., -0.1134, -0.0656, -0.0872], [-0.1404, 0.0184, 0.1066, ..., 0.0833, -0.0577, -0.1353]], device='cuda:0'), grad: tensor([[ 1.0431e-07, 6.8452e-08, 9.6392e-08, ..., 1.6810e-07, 0.0000e+00, 2.2165e-07], [ 7.2783e-07, -1.5479e-06, -6.0163e-06, ..., 1.0552e-06, 0.0000e+00, -1.1154e-05], [ 7.2177e-08, 1.4808e-07, 4.5635e-08, ..., 8.9873e-08, 0.0000e+00, 4.2142e-07], ..., [ 1.4435e-08, 1.4026e-06, 5.1633e-06, ..., 6.0070e-08, 0.0000e+00, 9.4399e-06], [-5.9940e-06, 2.0023e-07, -9.8534e-07, ..., -8.7619e-06, 0.0000e+00, 1.0459e-06], [ 3.9116e-07, 2.9337e-08, 4.3306e-08, ..., 4.7125e-07, 0.0000e+00, 2.0163e-07]], device='cuda:0') Epoch 180, bias, value: tensor([-0.0224, -0.0227, -0.0375, -0.0028, 0.0040, 0.0390, 0.0189, -0.0152, 0.0029, -0.0071], device='cuda:0'), grad: tensor([ 1.6801e-06, -1.0002e-04, 1.6205e-06, 2.8089e-06, 6.8918e-08, 2.6509e-05, 6.7940e-07, 8.6129e-05, -2.2516e-05, 2.8759e-06], device='cuda:0') 100 0.0001 changing lr epoch 179, time 214.09, cls_loss 0.0017 cls_loss_mapping 0.0029 cls_loss_causal 0.5163 re_mapping 0.0054 re_causal 0.0169 /// teacc 99.01 lr 0.00010000 Epoch 181, weight, value: tensor([[ 0.0214, -0.0616, -0.0429, ..., -0.1674, -0.0553, -0.1177], [-0.0351, -0.0555, -0.0346, ..., 0.0224, 0.0098, -0.1088], [ 0.0338, -0.1061, -0.1072, ..., 0.0196, -0.1385, 0.0608], ..., [-0.0032, -0.0197, -0.1382, ..., -0.1192, 0.0230, 0.1212], [ 0.0647, -0.1000, -0.0850, ..., -0.1142, -0.0657, -0.0875], [-0.1404, 0.0187, 0.1067, ..., 0.0834, -0.0578, -0.1354]], device='cuda:0'), grad: tensor([[ 6.0536e-09, 1.5553e-07, 6.2352e-07, ..., 5.5367e-07, 0.0000e+00, 8.3819e-09], [ 3.8184e-08, 2.1495e-06, 9.3207e-06, ..., 8.9854e-06, 0.0000e+00, 1.3970e-08], [ 2.8405e-08, 8.4285e-08, 3.5996e-07, ..., 3.5483e-07, 0.0000e+00, -2.2817e-08], ..., [ 1.6298e-08, 2.9262e-06, 1.2137e-05, ..., 1.1742e-05, 0.0000e+00, 1.2759e-07], [-4.3586e-07, 8.3819e-08, 3.3341e-07, ..., 3.2736e-07, 0.0000e+00, 9.7789e-09], [ 1.1222e-07, -7.5661e-06, -3.5673e-05, ..., -3.7044e-05, 0.0000e+00, 3.7719e-07]], device='cuda:0') Epoch 181, bias, value: tensor([-0.0225, -0.0224, -0.0378, -0.0027, 0.0041, 0.0391, 0.0180, -0.0153, 0.0027, -0.0071], device='cuda:0'), grad: tensor([ 1.1157e-06, 1.5840e-05, 7.3249e-07, -7.3109e-07, 1.7554e-05, 1.4398e-06, 2.4680e-08, 2.1115e-05, -1.6689e-06, -5.5522e-05], device='cuda:0') 100 0.0001 changing lr epoch 180, time 213.80, cls_loss 0.0022 cls_loss_mapping 0.0029 cls_loss_causal 0.5353 re_mapping 0.0055 re_causal 0.0160 /// teacc 98.97 lr 0.00010000 Epoch 182, weight, value: tensor([[ 0.0239, -0.0622, -0.0431, ..., -0.1664, -0.0555, -0.1196], [-0.0358, -0.0556, -0.0336, ..., 0.0229, 0.0098, -0.1092], [ 0.0338, -0.1064, -0.1079, ..., 0.0213, -0.1388, 0.0612], ..., [-0.0035, -0.0196, -0.1389, ..., -0.1195, 0.0239, 0.1217], [ 0.0651, -0.1008, -0.0850, ..., -0.1147, -0.0658, -0.0890], [-0.1409, 0.0167, 0.1051, ..., 0.0813, -0.0580, -0.1359]], device='cuda:0'), grad: tensor([[ 2.5099e-07, 6.9849e-09, 2.4680e-07, ..., 8.8941e-08, 0.0000e+00, 6.6124e-08], [ 8.0559e-08, 4.1910e-08, -2.2398e-07, ..., -2.1979e-07, -3.7253e-09, 1.1735e-07], [-1.3411e-07, 9.9186e-08, 1.2387e-07, ..., -1.5739e-07, 0.0000e+00, 6.2864e-08], ..., [ 4.2841e-08, -3.1106e-07, 1.5646e-07, ..., 1.6252e-07, 1.3970e-09, -7.9582e-07], [-3.8594e-06, 6.6590e-08, -4.9314e-07, ..., 2.8312e-07, 1.3970e-09, 1.2852e-07], [ 2.9337e-07, -4.1910e-08, -9.9093e-07, ..., -9.4902e-07, 4.6566e-10, 2.8498e-07]], device='cuda:0') Epoch 182, bias, value: tensor([-0.0218, -0.0223, -0.0376, -0.0017, 0.0059, 0.0390, 0.0162, -0.0153, 0.0026, -0.0088], device='cuda:0'), grad: tensor([ 9.5088e-07, -2.5192e-07, 1.5553e-07, 2.1607e-07, 1.7453e-06, 9.1968e-07, 5.1185e-06, -1.3374e-06, -7.5102e-06, -5.3085e-08], device='cuda:0') 100 0.0001 changing lr epoch 181, time 213.66, cls_loss 0.0019 cls_loss_mapping 0.0036 cls_loss_causal 0.5292 re_mapping 0.0055 re_causal 0.0170 /// teacc 98.96 lr 0.00010000 Epoch 183, weight, value: tensor([[ 0.0206, -0.0627, -0.0432, ..., -0.1669, -0.0561, -0.1207], [-0.0361, -0.0557, -0.0335, ..., 0.0230, 0.0102, -0.1097], [ 0.0338, -0.1066, -0.1085, ..., 0.0213, -0.1393, 0.0610], ..., [-0.0037, -0.0194, -0.1392, ..., -0.1195, 0.0240, 0.1225], [ 0.0653, -0.1011, -0.0852, ..., -0.1150, -0.0659, -0.0895], [-0.1413, 0.0166, 0.1051, ..., 0.0814, -0.0581, -0.1361]], device='cuda:0'), grad: tensor([[ 2.8405e-07, 8.9407e-08, 8.5076e-07, ..., 6.7707e-07, 0.0000e+00, 1.4668e-07], [ 1.9064e-06, 1.0245e-07, 4.0196e-06, ..., 2.6785e-06, 0.0000e+00, 2.1094e-07], [ 9.3039e-07, 1.2480e-07, 2.5947e-06, ..., 1.8440e-06, 0.0000e+00, 1.9046e-07], ..., [ 8.3819e-09, 1.1316e-07, 4.5542e-07, ..., 5.7928e-07, 0.0000e+00, -2.0768e-07], [-4.5449e-07, 2.3888e-07, 8.2189e-07, ..., 1.0310e-06, 0.0000e+00, 2.3888e-07], [ 6.7521e-08, 3.3388e-07, 1.4538e-06, ..., 1.4435e-06, 0.0000e+00, 5.1875e-07]], device='cuda:0') Epoch 183, bias, value: tensor([-0.0247, -0.0223, -0.0380, -0.0017, 0.0057, 0.0390, 0.0193, -0.0150, 0.0025, -0.0088], device='cuda:0'), grad: tensor([ 2.3469e-06, 1.0073e-05, 6.1281e-06, -2.7893e-07, 5.1916e-05, 3.4720e-06, -8.0526e-05, 1.0245e-06, 7.4832e-07, 5.2378e-06], device='cuda:0') 100 0.0001 changing lr epoch 182, time 213.95, cls_loss 0.0020 cls_loss_mapping 0.0035 cls_loss_causal 0.5297 re_mapping 0.0055 re_causal 0.0167 /// teacc 99.06 lr 0.00010000 Epoch 184, weight, value: tensor([[ 0.0208, -0.0627, -0.0435, ..., -0.1671, -0.0590, -0.1214], [-0.0370, -0.0558, -0.0333, ..., 0.0230, 0.0110, -0.1099], [ 0.0334, -0.1070, -0.1098, ..., 0.0224, -0.1410, 0.0616], ..., [-0.0039, -0.0195, -0.1399, ..., -0.1197, 0.0238, 0.1228], [ 0.0653, -0.1013, -0.0856, ..., -0.1159, -0.0665, -0.0898], [-0.1412, 0.0167, 0.1054, ..., 0.0816, -0.0582, -0.1361]], device='cuda:0'), grad: tensor([[-2.5425e-03, 4.7451e-07, -5.4926e-05, ..., -1.8752e-04, 0.0000e+00, 3.0156e-06], [ 8.2493e-04, 2.7940e-08, 1.7956e-05, ..., 6.0856e-05, 0.0000e+00, 3.2177e-07], [ 8.9332e-06, 3.2596e-08, 2.2072e-07, ..., 7.0641e-07, 0.0000e+00, -7.9395e-07], ..., [ 2.0638e-06, -6.3377e-07, 8.0094e-08, ..., 2.3795e-07, 0.0000e+00, -9.1493e-06], [ 1.4663e-05, 5.4017e-08, 3.6927e-07, ..., 1.2880e-06, 0.0000e+00, 8.9454e-07], [ 1.4529e-06, 3.1851e-07, 9.1735e-08, ..., 2.2491e-07, 0.0000e+00, 4.4294e-06]], device='cuda:0') Epoch 184, bias, value: tensor([-0.0245, -0.0223, -0.0378, -0.0022, 0.0056, 0.0391, 0.0193, -0.0151, 0.0023, -0.0085], device='cuda:0'), grad: tensor([-8.5220e-03, 2.7676e-03, 2.9355e-05, 1.9416e-05, 7.1600e-06, 5.8264e-06, 5.6381e-03, -8.6874e-06, 5.0217e-05, 1.2875e-05], device='cuda:0') 100 0.0001 changing lr epoch 183, time 214.05, cls_loss 0.0023 cls_loss_mapping 0.0034 cls_loss_causal 0.4989 re_mapping 0.0053 re_causal 0.0153 /// teacc 99.05 lr 0.00010000 Epoch 185, weight, value: tensor([[ 0.0215, -0.0634, -0.0435, ..., -0.1661, -0.0618, -0.1250], [-0.0397, -0.0552, -0.0331, ..., 0.0233, 0.0146, -0.1088], [ 0.0332, -0.1070, -0.1103, ..., 0.0224, -0.1471, 0.0647], ..., [-0.0057, -0.0207, -0.1406, ..., -0.1199, 0.0211, 0.1208], [ 0.0676, -0.1012, -0.0856, ..., -0.1165, -0.0674, -0.0901], [-0.1422, 0.0169, 0.1056, ..., 0.0818, -0.0600, -0.1365]], device='cuda:0'), grad: tensor([[-8.8587e-06, -1.1055e-06, 5.8534e-07, ..., 4.6473e-07, 6.9849e-09, -1.6037e-06], [ 1.1446e-06, 6.3516e-07, 1.5981e-06, ..., 1.3383e-06, 3.7253e-09, 5.3598e-07], [ 1.7518e-06, 7.5204e-07, 6.4727e-07, ..., 3.6601e-07, 1.7928e-07, 1.2992e-06], ..., [ 1.0645e-06, 7.1293e-07, 5.3458e-06, ..., 4.6417e-06, -3.6182e-07, -1.9837e-06], [ 1.7779e-06, 3.1181e-06, 1.2159e-05, ..., 1.0461e-05, 2.4214e-08, 9.1363e-07], [ 1.8673e-06, -3.8177e-05, -1.8108e-04, ..., -1.5628e-04, 2.1420e-08, 1.0114e-06]], device='cuda:0') Epoch 185, bias, value: tensor([-0.0236, -0.0220, -0.0351, -0.0021, 0.0054, 0.0391, 0.0183, -0.0172, 0.0029, -0.0085], device='cuda:0'), grad: tensor([-2.4542e-05, 6.3367e-06, 6.9700e-06, 4.2701e-07, 3.3832e-04, 4.8578e-06, 5.6066e-07, 1.0461e-05, 3.0786e-05, -3.7384e-04], device='cuda:0') 100 0.0001 changing lr epoch 184, time 214.46, cls_loss 0.0018 cls_loss_mapping 0.0025 cls_loss_causal 0.4940 re_mapping 0.0058 re_causal 0.0159 /// teacc 98.87 lr 0.00010000 Epoch 186, weight, value: tensor([[ 0.0215, -0.0636, -0.0436, ..., -0.1663, -0.0639, -0.1257], [-0.0399, -0.0553, -0.0332, ..., 0.0234, 0.0158, -0.1087], [ 0.0330, -0.1074, -0.1112, ..., 0.0220, -0.1501, 0.0650], ..., [-0.0058, -0.0207, -0.1410, ..., -0.1200, 0.0212, 0.1209], [ 0.0676, -0.1019, -0.0860, ..., -0.1175, -0.0684, -0.0909], [-0.1430, 0.0170, 0.1055, ..., 0.0816, -0.0598, -0.1369]], device='cuda:0'), grad: tensor([[ 3.2689e-07, 1.6764e-08, 8.3167e-07, ..., 6.0070e-08, 4.6566e-10, 3.4459e-08], [ 3.0315e-07, 7.9162e-08, 6.5006e-07, ..., -1.0245e-08, -4.6566e-10, 1.6578e-07], [ 5.1549e-07, 9.3132e-08, 1.1474e-06, ..., 7.9162e-08, 0.0000e+00, 1.4855e-07], ..., [ 2.5611e-08, -1.1502e-07, 1.6950e-07, ..., 1.3737e-07, 2.3283e-09, -3.9116e-07], [ 1.1269e-07, 4.6566e-08, 4.5262e-07, ..., 1.4901e-07, 8.8476e-09, 7.3109e-08], [ 8.9873e-08, -5.2154e-08, -5.2154e-08, ..., -7.3109e-08, 4.4703e-08, 7.6834e-08]], device='cuda:0') Epoch 186, bias, value: tensor([-0.0236, -0.0219, -0.0350, -0.0020, 0.0057, 0.0391, 0.0184, -0.0174, 0.0025, -0.0087], device='cuda:0'), grad: tensor([ 1.8198e-06, 1.7360e-06, 2.9542e-06, -1.7267e-06, 2.4840e-05, 5.0701e-06, -3.5882e-05, -2.7614e-07, 1.0012e-06, 4.8149e-07], device='cuda:0') 100 0.0001 changing lr epoch 185, time 213.95, cls_loss 0.0015 cls_loss_mapping 0.0029 cls_loss_causal 0.5162 re_mapping 0.0055 re_causal 0.0170 /// teacc 98.97 lr 0.00010000 Epoch 187, weight, value: tensor([[ 0.0215, -0.0666, -0.0442, ..., -0.1681, -0.0644, -0.1261], [-0.0400, -0.0554, -0.0333, ..., 0.0233, 0.0158, -0.1089], [ 0.0332, -0.1076, -0.1120, ..., 0.0221, -0.1493, 0.0654], ..., [-0.0060, -0.0207, -0.1414, ..., -0.1202, 0.0219, 0.1210], [ 0.0675, -0.1024, -0.0863, ..., -0.1181, -0.0690, -0.0913], [-0.1430, 0.0172, 0.1056, ..., 0.0817, -0.0598, -0.1370]], device='cuda:0'), grad: tensor([[ 3.0315e-07, 2.7660e-07, 3.6089e-07, ..., 1.9418e-07, 1.3970e-09, 4.7497e-08], [ 1.2573e-08, 5.4017e-08, 1.9092e-08, ..., -1.3504e-08, 0.0000e+00, 8.2422e-08], [ 1.2573e-08, 1.1316e-07, 4.0513e-08, ..., 4.1910e-09, 4.6566e-10, 1.1362e-07], ..., [ 2.7940e-09, -3.8184e-08, 1.5367e-08, ..., 2.3749e-08, 0.0000e+00, -7.4040e-08], [ 2.8405e-08, 3.0734e-08, 1.9092e-08, ..., 7.1712e-08, 4.6566e-10, 7.6834e-08], [ 4.8429e-08, 3.2596e-09, 3.3993e-08, ..., 4.6566e-08, 0.0000e+00, 1.8161e-08]], device='cuda:0') Epoch 187, bias, value: tensor([-0.0237, -0.0219, -0.0351, -0.0020, 0.0059, 0.0390, 0.0185, -0.0174, 0.0026, -0.0087], device='cuda:0'), grad: tensor([ 1.2722e-06, 1.7649e-07, 2.1420e-07, -3.8231e-07, 1.5134e-07, 7.2597e-07, -2.6841e-06, -8.2422e-08, 2.7940e-07, 3.2829e-07], device='cuda:0') 100 0.0001 changing lr epoch 186, time 213.97, cls_loss 0.0018 cls_loss_mapping 0.0032 cls_loss_causal 0.4896 re_mapping 0.0057 re_causal 0.0159 /// teacc 98.95 lr 0.00010000 Epoch 188, weight, value: tensor([[ 0.0215, -0.0666, -0.0444, ..., -0.1687, -0.0687, -0.1264], [-0.0401, -0.0555, -0.0332, ..., 0.0235, 0.0175, -0.1096], [ 0.0331, -0.1083, -0.1135, ..., 0.0223, -0.1522, 0.0652], ..., [-0.0061, -0.0205, -0.1429, ..., -0.1206, 0.0215, 0.1216], [ 0.0674, -0.1028, -0.0868, ..., -0.1189, -0.0697, -0.0916], [-0.1432, 0.0172, 0.1056, ..., 0.0816, -0.0592, -0.1371]], device='cuda:0'), grad: tensor([[-3.2000e-06, -1.1213e-06, 2.3283e-08, ..., 1.9092e-08, 1.5832e-08, 1.6298e-07], [ 1.3504e-07, 3.0687e-07, 6.3330e-08, ..., 3.3528e-08, 3.8184e-08, 4.7544e-07], [ 3.0827e-07, 2.3842e-07, 2.5611e-08, ..., 1.5832e-08, 1.4435e-08, -4.9500e-07], ..., [ 6.2864e-08, -7.4692e-07, 1.0384e-07, ..., 6.4727e-08, -3.9116e-08, -1.0543e-06], [ 8.9360e-07, -9.8627e-07, 1.9092e-08, ..., 2.2445e-07, -2.2771e-07, -1.5153e-06], [ 4.4098e-07, 3.5670e-07, 2.0023e-07, ..., 2.7241e-07, 9.0338e-08, 3.0547e-07]], device='cuda:0') Epoch 188, bias, value: tensor([-0.0238, -0.0219, -0.0355, -0.0020, 0.0066, 0.0389, 0.0186, -0.0176, 0.0023, -0.0086], device='cuda:0'), grad: tensor([-9.8050e-06, 1.6224e-06, 6.0117e-07, 5.8636e-06, -1.3504e-06, 5.1744e-06, 1.3579e-06, -1.6373e-06, -4.6194e-06, 2.8014e-06], device='cuda:0') 100 0.0001 changing lr epoch 187, time 214.01, cls_loss 0.0021 cls_loss_mapping 0.0038 cls_loss_causal 0.5346 re_mapping 0.0055 re_causal 0.0159 /// teacc 99.09 lr 0.00010000 Epoch 189, weight, value: tensor([[ 0.0215, -0.0678, -0.0446, ..., -0.1691, -0.0733, -0.1272], [-0.0400, -0.0556, -0.0328, ..., 0.0237, 0.0180, -0.1101], [ 0.0330, -0.1095, -0.1143, ..., 0.0233, -0.1494, 0.0660], ..., [-0.0063, -0.0205, -0.1438, ..., -0.1210, 0.0207, 0.1219], [ 0.0673, -0.1043, -0.0871, ..., -0.1197, -0.0705, -0.0934], [-0.1442, 0.0172, 0.1053, ..., 0.0813, -0.0608, -0.1374]], device='cuda:0'), grad: tensor([[-5.1670e-06, -3.9265e-06, -1.5236e-06, ..., 9.8255e-08, 3.2596e-09, 8.3353e-08], [ 2.9430e-07, 2.4959e-07, 2.9057e-07, ..., -7.4040e-08, 1.5367e-08, 1.9046e-07], [ 1.7136e-07, 1.3644e-07, 2.4587e-07, ..., 3.6322e-08, 1.3970e-08, -4.8196e-07], ..., [ 6.4727e-08, 1.5879e-07, 8.7358e-07, ..., 6.1467e-07, -3.6787e-08, -3.6322e-08], [ 2.3283e-06, 1.3905e-06, 1.9409e-06, ..., 4.5495e-07, 3.2596e-09, 1.0291e-07], [ 2.5071e-06, -6.4634e-07, -9.3505e-06, ..., -6.7428e-06, 6.5193e-09, 5.4017e-08]], device='cuda:0') Epoch 189, bias, value: tensor([-0.0238, -0.0219, -0.0350, -0.0027, 0.0071, 0.0393, 0.0186, -0.0175, 0.0018, -0.0091], device='cuda:0'), grad: tensor([-1.8805e-05, 1.3877e-06, -2.5285e-07, 1.5888e-06, 1.6883e-05, -9.8627e-07, -1.1139e-06, 1.8561e-06, 8.9407e-06, -9.4846e-06], device='cuda:0') 100 0.0001 changing lr epoch 188, time 214.13, cls_loss 0.0014 cls_loss_mapping 0.0019 cls_loss_causal 0.5275 re_mapping 0.0054 re_causal 0.0163 /// teacc 99.06 lr 0.00010000 Epoch 190, weight, value: tensor([[ 0.0215, -0.0679, -0.0446, ..., -0.1695, -0.0741, -0.1280], [-0.0400, -0.0557, -0.0324, ..., 0.0240, 0.0180, -0.1103], [ 0.0330, -0.1101, -0.1151, ..., 0.0231, -0.1493, 0.0664], ..., [-0.0065, -0.0208, -0.1444, ..., -0.1212, 0.0206, 0.1220], [ 0.0674, -0.1044, -0.0872, ..., -0.1202, -0.0712, -0.0939], [-0.1448, 0.0178, 0.1057, ..., 0.0818, -0.0612, -0.1375]], device='cuda:0'), grad: tensor([[ 2.0582e-07, 1.5832e-07, 5.4110e-07, ..., 6.0070e-07, 1.0245e-08, 9.5926e-08], [ 8.0559e-08, -4.8382e-07, -1.9148e-06, ..., -1.6615e-06, 1.8813e-07, 9.3225e-07], [ 7.1246e-08, 5.6997e-07, 7.4971e-08, ..., 1.4855e-07, 3.1665e-08, 3.0492e-06], ..., [-3.0268e-08, -3.8976e-07, 1.3029e-06, ..., 1.2880e-06, -5.1502e-07, -4.6268e-06], [ 5.9884e-07, 4.3726e-07, 8.3121e-07, ..., 4.2468e-06, 1.7695e-08, 4.6380e-07], [ 6.5193e-08, 2.9849e-07, -2.0899e-06, ..., -1.4883e-06, 9.1735e-08, 1.4249e-06]], device='cuda:0') Epoch 190, bias, value: tensor([-0.0239, -0.0218, -0.0347, -0.0024, 0.0067, 0.0393, 0.0185, -0.0177, 0.0017, -0.0088], device='cuda:0'), grad: tensor([ 1.9614e-06, -3.4552e-06, 5.9716e-06, 1.8075e-05, 2.0973e-06, -2.0221e-05, -8.5309e-06, -4.8913e-06, 9.4548e-06, -4.9686e-07], device='cuda:0') 100 0.0001 changing lr epoch 189, time 214.04, cls_loss 0.0020 cls_loss_mapping 0.0040 cls_loss_causal 0.5079 re_mapping 0.0055 re_causal 0.0154 /// teacc 98.84 lr 0.00010000 Epoch 191, weight, value: tensor([[ 0.0215, -0.0677, -0.0447, ..., -0.1703, -0.0773, -0.1283], [-0.0412, -0.0547, -0.0307, ..., 0.0252, 0.0180, -0.1104], [ 0.0323, -0.1106, -0.1168, ..., 0.0225, -0.1496, 0.0663], ..., [-0.0066, -0.0210, -0.1467, ..., -0.1226, 0.0214, 0.1224], [ 0.0665, -0.1047, -0.0890, ..., -0.1212, -0.0714, -0.0943], [-0.1459, 0.0183, 0.1062, ..., 0.0823, -0.0616, -0.1380]], device='cuda:0'), grad: tensor([[ 6.4354e-07, 6.5193e-09, 5.4948e-07, ..., 1.0245e-08, 3.8184e-08, 4.5449e-07], [ 9.9652e-08, 8.6613e-08, -6.7055e-08, ..., -1.4342e-07, 2.5891e-07, 1.3718e-06], [ 8.9221e-07, 2.6077e-08, 7.3854e-07, ..., 9.3132e-10, 7.7579e-07, 1.0887e-06], ..., [ 7.2643e-08, -8.0280e-07, 1.1548e-07, ..., 8.2888e-08, -1.1921e-06, -3.5297e-06], [-2.9355e-06, 5.4017e-08, -2.3562e-06, ..., 3.0734e-08, 4.5635e-08, -1.0217e-06], [ 1.3225e-07, 6.0070e-07, 1.8626e-08, ..., -9.2201e-08, 3.2596e-08, 9.0525e-07]], device='cuda:0') Epoch 191, bias, value: tensor([-0.0238, -0.0218, -0.0355, -0.0025, 0.0060, 0.0391, 0.0196, -0.0179, 0.0015, -0.0088], device='cuda:0'), grad: tensor([ 4.7646e-06, 3.3751e-06, 7.7710e-06, 3.6135e-06, 3.5837e-06, 4.4424e-07, 6.3237e-07, -8.6650e-06, -1.9357e-05, 3.8128e-06], device='cuda:0') 100 0.0001 changing lr epoch 190, time 213.74, cls_loss 0.0016 cls_loss_mapping 0.0030 cls_loss_causal 0.5065 re_mapping 0.0055 re_causal 0.0162 /// teacc 98.98 lr 0.00010000 Epoch 192, weight, value: tensor([[ 0.0215, -0.0678, -0.0448, ..., -0.1708, -0.0784, -0.1296], [-0.0415, -0.0541, -0.0298, ..., 0.0261, 0.0179, -0.1104], [ 0.0323, -0.1108, -0.1174, ..., 0.0229, -0.1497, 0.0667], ..., [-0.0067, -0.0214, -0.1480, ..., -0.1234, 0.0215, 0.1224], [ 0.0673, -0.1048, -0.0891, ..., -0.1215, -0.0713, -0.0951], [-0.1465, 0.0184, 0.1059, ..., 0.0817, -0.0638, -0.1382]], device='cuda:0'), grad: tensor([[-2.1607e-05, -3.6601e-06, 2.4401e-07, ..., 1.7136e-07, 2.8685e-07, 5.1409e-07], [ 5.1502e-07, 6.9104e-07, 1.1744e-06, ..., 7.8604e-07, 6.7521e-07, 7.5251e-07], [ 2.3078e-06, 4.5542e-07, 2.3656e-07, ..., 1.9372e-07, 2.0489e-08, -2.5854e-06], ..., [-9.5740e-07, -3.5241e-06, 8.7544e-08, ..., -5.7835e-07, -4.0755e-06, -3.6396e-06], [ 8.4285e-07, 3.1292e-07, 2.0117e-07, ..., 2.7474e-07, 1.8440e-07, 4.6380e-07], [ 6.1654e-06, 3.2932e-06, 3.4180e-07, ..., 7.8324e-07, 2.7213e-06, 2.4512e-06]], device='cuda:0') Epoch 192, bias, value: tensor([-0.0238, -0.0215, -0.0355, -0.0036, 0.0065, 0.0390, 0.0197, -0.0183, 0.0023, -0.0093], device='cuda:0'), grad: tensor([-5.6982e-05, 5.9493e-06, 2.6114e-06, 3.7402e-06, -6.3665e-06, 2.6479e-05, 9.2015e-06, -1.3612e-05, 3.8520e-06, 2.5153e-05], device='cuda:0') 100 0.0001 changing lr epoch 191, time 214.20, cls_loss 0.0016 cls_loss_mapping 0.0037 cls_loss_causal 0.4969 re_mapping 0.0061 re_causal 0.0162 /// teacc 98.98 lr 0.00010000 Epoch 193, weight, value: tensor([[ 0.0213, -0.0679, -0.0450, ..., -0.1712, -0.0818, -0.1304], [-0.0418, -0.0543, -0.0299, ..., 0.0262, 0.0175, -0.1106], [ 0.0321, -0.1109, -0.1179, ..., 0.0228, -0.1495, 0.0680], ..., [-0.0067, -0.0210, -0.1482, ..., -0.1234, 0.0240, 0.1227], [ 0.0673, -0.1052, -0.0893, ..., -0.1217, -0.0711, -0.0955], [-0.1479, 0.0184, 0.1059, ..., 0.0816, -0.0669, -0.1391]], device='cuda:0'), grad: tensor([[-4.0978e-07, 1.5832e-08, 4.7404e-07, ..., 1.6391e-07, 2.1420e-08, 4.7497e-08], [ 1.4901e-08, 6.7055e-08, -6.4075e-07, ..., -1.1250e-06, -4.1630e-07, 1.8906e-07], [ 6.8918e-08, 3.5390e-08, 2.5053e-07, ..., 9.1270e-08, 1.7695e-08, 7.7300e-08], ..., [ 5.5879e-09, -7.8231e-08, 4.2282e-07, ..., 6.5938e-07, 2.3376e-07, -1.6019e-07], [ 2.7940e-08, 4.7497e-08, 1.7509e-07, ..., 2.5146e-07, 5.7742e-08, 1.1642e-07], [ 4.0885e-07, 7.4506e-09, 1.8440e-07, ..., 1.4622e-07, 5.6811e-08, 1.1921e-07]], device='cuda:0') Epoch 193, bias, value: tensor([-0.0241, -0.0215, -0.0350, -0.0040, 0.0064, 0.0390, 0.0203, -0.0181, 0.0023, -0.0097], device='cuda:0'), grad: tensor([-7.7114e-07, -2.4568e-06, 9.2201e-07, -1.3066e-06, 2.5146e-07, 1.9334e-06, -3.3975e-06, 1.6131e-06, 7.7393e-07, 2.4177e-06], device='cuda:0') 100 0.0001 changing lr epoch 192, time 213.82, cls_loss 0.0020 cls_loss_mapping 0.0050 cls_loss_causal 0.5192 re_mapping 0.0054 re_causal 0.0162 /// teacc 98.95 lr 0.00010000 Epoch 194, weight, value: tensor([[ 0.0213, -0.0681, -0.0453, ..., -0.1716, -0.0822, -0.1310], [-0.0419, -0.0546, -0.0322, ..., 0.0262, 0.0160, -0.1154], [ 0.0321, -0.1115, -0.1191, ..., 0.0226, -0.1492, 0.0682], ..., [-0.0067, -0.0208, -0.1459, ..., -0.1238, 0.0257, 0.1274], [ 0.0671, -0.1059, -0.0897, ..., -0.1225, -0.0724, -0.0969], [-0.1483, 0.0187, 0.1063, ..., 0.0819, -0.0670, -0.1393]], device='cuda:0'), grad: tensor([[-9.3132e-09, 3.7253e-09, 1.0710e-07, ..., 4.0978e-08, 9.3132e-09, 4.6566e-08], [ 1.3970e-08, 1.3039e-08, -2.3544e-06, ..., -6.9477e-07, 2.1979e-07, 7.3109e-07], [ 1.1176e-08, 2.4214e-08, 1.5553e-07, ..., 6.1467e-08, 5.4948e-08, 2.7847e-07], ..., [ 1.8626e-09, -2.6077e-08, 3.1386e-07, ..., 4.9733e-07, -5.0850e-06, -1.5870e-05], [ 8.3819e-09, 2.7940e-08, 5.2527e-07, ..., 1.7229e-07, 1.8347e-07, 6.7800e-07], [ 1.8626e-08, 9.3132e-10, 1.6950e-07, ..., -3.5390e-08, 2.7940e-08, 1.3504e-07]], device='cuda:0') Epoch 194, bias, value: tensor([-0.0241, -0.0251, -0.0350, -0.0042, 0.0062, 0.0389, 0.0204, -0.0142, 0.0021, -0.0093], device='cuda:0'), grad: tensor([ 3.4086e-07, -5.4538e-06, 1.2424e-06, -9.1922e-07, 4.6015e-05, 1.3243e-06, 5.4948e-07, -4.7475e-05, 3.3118e-06, 1.0179e-06], device='cuda:0') 100 0.0001 changing lr epoch 193, time 214.02, cls_loss 0.0013 cls_loss_mapping 0.0031 cls_loss_causal 0.4919 re_mapping 0.0053 re_causal 0.0160 /// teacc 98.95 lr 0.00010000 Epoch 195, weight, value: tensor([[ 0.0213, -0.0684, -0.0456, ..., -0.1721, -0.0823, -0.1317], [-0.0420, -0.0547, -0.0322, ..., 0.0263, 0.0161, -0.1155], [ 0.0320, -0.1117, -0.1231, ..., 0.0202, -0.1493, 0.0680], ..., [-0.0069, -0.0207, -0.1460, ..., -0.1239, 0.0264, 0.1275], [ 0.0681, -0.1062, -0.0902, ..., -0.1227, -0.0728, -0.0974], [-0.1485, 0.0190, 0.1068, ..., 0.0822, -0.0676, -0.1396]], device='cuda:0'), grad: tensor([[ 1.3039e-08, 8.3819e-09, 1.1362e-07, ..., 2.2352e-08, 9.3132e-10, 1.5274e-07], [ 5.5879e-09, 1.4622e-07, -4.3437e-06, ..., -5.0291e-08, -3.7253e-09, 2.3711e-06], [-2.0489e-08, 4.7963e-07, 1.8347e-07, ..., 3.8184e-08, 9.3132e-10, 7.6368e-06], ..., [ 1.3039e-08, -8.0839e-07, 2.7604e-06, ..., 1.0151e-07, -1.8626e-09, -1.3202e-05], [-2.7008e-08, 8.4750e-08, 6.0815e-07, ..., 8.3819e-08, 9.3132e-10, 1.5022e-06], [ 1.9558e-08, 6.1467e-08, 2.5053e-07, ..., -6.5193e-09, 9.3132e-10, 1.0561e-06]], device='cuda:0') Epoch 195, bias, value: tensor([-0.0241, -0.0251, -0.0356, -0.0040, 0.0063, 0.0387, 0.0204, -0.0141, 0.0022, -0.0091], device='cuda:0'), grad: tensor([ 6.0908e-07, -1.0274e-05, 1.4514e-05, 6.1933e-07, 1.4370e-06, 4.9453e-07, 3.8277e-07, -1.5184e-05, 4.5262e-06, 2.8349e-06], device='cuda:0') 100 0.0001 changing lr epoch 194, time 214.20, cls_loss 0.0015 cls_loss_mapping 0.0025 cls_loss_causal 0.4883 re_mapping 0.0053 re_causal 0.0153 /// teacc 99.06 lr 0.00010000 Epoch 196, weight, value: tensor([[ 0.0213, -0.0687, -0.0458, ..., -0.1725, -0.0826, -0.1324], [-0.0422, -0.0548, -0.0321, ..., 0.0264, 0.0170, -0.1155], [ 0.0323, -0.1122, -0.1241, ..., 0.0210, -0.1500, 0.0682], ..., [-0.0071, -0.0223, -0.1470, ..., -0.1247, 0.0265, 0.1276], [ 0.0681, -0.1067, -0.0904, ..., -0.1232, -0.0733, -0.0986], [-0.1490, 0.0204, 0.1074, ..., 0.0826, -0.0679, -0.1399]], device='cuda:0'), grad: tensor([[-6.9477e-07, 5.7742e-07, 3.1758e-07, ..., 5.8860e-07, 1.8626e-09, 1.4715e-07], [ 4.5635e-08, 1.5460e-07, -1.6391e-07, ..., -3.9767e-07, -1.4249e-07, 4.1910e-08], [ 1.1642e-07, 3.3528e-08, 1.8347e-07, ..., 6.8918e-08, 8.3819e-09, -8.5682e-08], ..., [ 2.4214e-08, 5.9456e-06, 5.7407e-06, ..., 6.0312e-06, 8.2888e-08, 8.3353e-07], [-2.7008e-07, 1.7975e-07, 3.9395e-07, ..., 4.8708e-07, 1.2107e-08, 1.2759e-07], [ 2.2072e-07, -7.9721e-06, -7.1973e-06, ..., -7.1824e-06, 2.0489e-08, -1.2033e-06]], device='cuda:0') Epoch 196, bias, value: tensor([-0.0242, -0.0250, -0.0366, -0.0032, 0.0063, 0.0385, 0.0205, -0.0146, 0.0019, -0.0080], device='cuda:0'), grad: tensor([-1.3653e-06, -6.9663e-07, 9.3691e-07, 4.5523e-06, 2.7288e-07, -6.8452e-07, 1.6093e-06, 2.4900e-05, 4.1723e-07, -2.9922e-05], device='cuda:0') 100 0.0001 changing lr epoch 195, time 213.83, cls_loss 0.0020 cls_loss_mapping 0.0039 cls_loss_causal 0.5144 re_mapping 0.0052 re_causal 0.0150 /// teacc 99.05 lr 0.00010000 Epoch 197, weight, value: tensor([[ 0.0214, -0.0695, -0.0459, ..., -0.1729, -0.0828, -0.1330], [-0.0424, -0.0541, -0.0317, ..., 0.0265, 0.0201, -0.1153], [ 0.0321, -0.1138, -0.1260, ..., 0.0206, -0.1501, 0.0675], ..., [-0.0072, -0.0227, -0.1473, ..., -0.1248, 0.0236, 0.1277], [ 0.0667, -0.1070, -0.0905, ..., -0.1237, -0.0741, -0.0981], [-0.1504, 0.0205, 0.1077, ..., 0.0826, -0.0681, -0.1402]], device='cuda:0'), grad: tensor([[ 7.3388e-06, 1.1131e-05, 1.8328e-05, ..., 1.2107e-08, 5.5879e-09, 2.4494e-07], [ 7.2643e-08, 1.4249e-07, 7.7300e-08, ..., -2.7008e-08, 9.3132e-10, 2.1048e-07], [ 4.4703e-08, 8.1956e-08, 4.2841e-08, ..., -2.7940e-08, 9.3132e-10, -2.8480e-06], ..., [ 8.4750e-08, 1.1083e-07, 5.0291e-08, ..., 5.4948e-08, -0.0000e+00, 2.5369e-06], [-1.5739e-07, 2.3283e-07, 1.9744e-07, ..., 5.0291e-08, 9.3132e-10, 3.6974e-07], [ 9.6858e-08, 1.0710e-07, -1.8626e-09, ..., 9.3132e-09, 9.3132e-10, 1.6857e-07]], device='cuda:0') Epoch 197, bias, value: tensor([-0.0242, -0.0244, -0.0378, -0.0037, 0.0059, 0.0390, 0.0205, -0.0149, 0.0019, -0.0082], device='cuda:0'), grad: tensor([ 3.9756e-05, 7.0222e-07, -3.8594e-06, -8.4996e-05, 1.4957e-06, 8.3685e-05, -4.2200e-05, 4.3139e-06, 3.6508e-07, 7.3109e-07], device='cuda:0') 100 0.0001 changing lr epoch 196, time 213.96, cls_loss 0.0014 cls_loss_mapping 0.0025 cls_loss_causal 0.5296 re_mapping 0.0054 re_causal 0.0164 /// teacc 99.02 lr 0.00010000 Epoch 198, weight, value: tensor([[ 0.0211, -0.0704, -0.0464, ..., -0.1734, -0.0835, -0.1343], [-0.0425, -0.0541, -0.0317, ..., 0.0266, 0.0202, -0.1154], [ 0.0322, -0.1138, -0.1271, ..., 0.0202, -0.1502, 0.0681], ..., [-0.0074, -0.0227, -0.1475, ..., -0.1251, 0.0236, 0.1277], [ 0.0672, -0.1073, -0.0908, ..., -0.1238, -0.0743, -0.0986], [-0.1506, 0.0206, 0.1083, ..., 0.0830, -0.0682, -0.1405]], device='cuda:0'), grad: tensor([[-8.3819e-08, 6.6124e-08, 3.1665e-08, ..., 2.8871e-08, 4.6566e-09, 1.9185e-07], [ 1.5832e-08, 2.3097e-07, -3.4552e-07, ..., -4.3586e-07, -1.3039e-07, 4.4703e-07], [ 1.6764e-08, 3.7905e-07, 1.2107e-08, ..., 1.5832e-08, 1.8626e-09, -6.7614e-07], ..., [ 1.5832e-08, 3.1386e-07, 2.3842e-07, ..., 3.0547e-07, 9.8720e-08, 1.8151e-06], [ 2.2538e-07, 2.4121e-07, 3.1665e-08, ..., 4.7963e-07, 9.3132e-09, 5.5134e-07], [ 5.5879e-08, 4.7497e-08, 2.1420e-08, ..., 8.1025e-08, 6.5193e-09, 1.0617e-07]], device='cuda:0') Epoch 198, bias, value: tensor([-0.0245, -0.0244, -0.0375, -0.0036, 0.0054, 0.0389, 0.0207, -0.0150, 0.0020, -0.0079], device='cuda:0'), grad: tensor([ 1.5646e-07, -3.5577e-07, -7.1339e-07, -6.7465e-06, 6.7987e-08, 5.8860e-07, 2.0862e-07, 4.3735e-06, 1.9334e-06, 4.9733e-07], device='cuda:0') 100 0.0001 changing lr epoch 197, time 213.95, cls_loss 0.0027 cls_loss_mapping 0.0034 cls_loss_causal 0.5373 re_mapping 0.0052 re_causal 0.0158 /// teacc 99.06 lr 0.00010000 Epoch 199, weight, value: tensor([[ 0.0212, -0.0706, -0.0475, ..., -0.1759, -0.0836, -0.1351], [-0.0425, -0.0542, -0.0308, ..., 0.0287, 0.0237, -0.1173], [ 0.0321, -0.1137, -0.1293, ..., 0.0177, -0.1498, 0.0682], ..., [-0.0075, -0.0227, -0.1486, ..., -0.1272, 0.0204, 0.1292], [ 0.0671, -0.1081, -0.0916, ..., -0.1247, -0.0759, -0.0963], [-0.1510, 0.0206, 0.1092, ..., 0.0837, -0.0687, -0.1403]], device='cuda:0'), grad: tensor([[-2.6077e-08, 6.5193e-09, 1.0431e-07, ..., 7.3574e-08, 4.6566e-09, 8.6613e-08], [ 5.4948e-08, 7.4506e-09, -5.0012e-07, ..., -5.2061e-07, -1.5739e-07, 4.4703e-08], [ 1.4901e-08, 2.0489e-08, 2.0489e-08, ..., 1.2107e-08, 1.8626e-09, 5.1223e-08], ..., [ 1.4901e-08, -3.9116e-08, 3.4552e-07, ..., 4.3400e-07, 8.9407e-08, 1.5087e-07], [-5.4669e-07, 1.0151e-07, 2.2817e-07, ..., 5.8860e-07, 1.0990e-07, 1.3020e-06], [ 1.2107e-07, 1.2107e-08, 2.6915e-07, ..., 6.3796e-07, 2.8871e-08, 6.5193e-08]], device='cuda:0') Epoch 199, bias, value: tensor([-0.0246, -0.0262, -0.0380, -0.0026, 0.0052, 0.0385, 0.0206, -0.0135, 0.0030, -0.0070], device='cuda:0'), grad: tensor([-5.7928e-07, -1.0869e-06, 3.1013e-07, -5.0962e-06, -2.9616e-07, 4.2841e-07, 9.8813e-07, 1.2843e-06, 1.6680e-06, 2.3581e-06], device='cuda:0') 100 0.0001 changing lr epoch 198, time 214.35, cls_loss 0.0016 cls_loss_mapping 0.0032 cls_loss_causal 0.5104 re_mapping 0.0051 re_causal 0.0151 /// teacc 99.04 lr 0.00010000 Epoch 200, weight, value: tensor([[ 0.0213, -0.0719, -0.0479, ..., -0.1766, -0.0836, -0.1358], [-0.0426, -0.0542, -0.0306, ..., 0.0289, 0.0245, -0.1171], [ 0.0319, -0.1138, -0.1301, ..., 0.0179, -0.1503, 0.0690], ..., [-0.0076, -0.0225, -0.1489, ..., -0.1275, 0.0199, 0.1290], [ 0.0673, -0.1084, -0.0921, ..., -0.1252, -0.0767, -0.0973], [-0.1517, 0.0206, 0.1093, ..., 0.0833, -0.0696, -0.1408]], device='cuda:0'), grad: tensor([[-6.5565e-07, 2.2352e-08, 3.6694e-07, ..., 3.2317e-07, 1.1176e-08, 1.0151e-07], [ 5.0757e-07, 5.9605e-08, -1.3132e-07, ..., 1.5609e-06, 9.3132e-09, 1.0757e-06], [-6.2771e-07, 2.3283e-08, 6.5006e-07, ..., -2.2259e-06, 1.8626e-08, -1.4156e-06], ..., [ 2.7008e-08, 3.1665e-08, 1.8505e-06, ..., 1.0794e-06, 3.9116e-08, 5.5879e-08], [ 4.2003e-07, 1.1548e-07, 1.0990e-06, ..., 1.2983e-06, 3.2596e-08, 2.3004e-07], [ 1.7509e-07, 5.6811e-08, -1.0125e-05, ..., -5.0627e-06, -2.9895e-07, 9.4064e-08]], device='cuda:0') Epoch 200, bias, value: tensor([-0.0245, -0.0256, -0.0375, -0.0029, 0.0053, 0.0387, 0.0205, -0.0141, 0.0026, -0.0074], device='cuda:0'), grad: tensor([-1.4119e-06, 4.4890e-06, -5.5730e-06, -1.2387e-07, 2.7083e-06, -5.3868e-06, 1.4357e-05, 4.0829e-06, 4.5188e-06, -1.7688e-05], device='cuda:0') 100 0.0001 changing lr epoch 199, time 214.07, cls_loss 0.0016 cls_loss_mapping 0.0020 cls_loss_causal 0.5074 re_mapping 0.0052 re_causal 0.0154 /// teacc 99.10 lr 0.00010000 Epoch 201, weight, value: tensor([[ 0.0215, -0.0700, -0.0480, ..., -0.1772, -0.0837, -0.1368], [-0.0427, -0.0540, -0.0303, ..., 0.0292, 0.0246, -0.1174], [ 0.0319, -0.1139, -0.1300, ..., 0.0187, -0.1504, 0.0699], ..., [-0.0078, -0.0227, -0.1493, ..., -0.1280, 0.0198, 0.1292], [ 0.0675, -0.1087, -0.0925, ..., -0.1257, -0.0771, -0.0976], [-0.1520, 0.0207, 0.1095, ..., 0.0834, -0.0702, -0.1410]], device='cuda:0'), grad: tensor([[ 2.6077e-08, 3.7253e-09, 3.1665e-08, ..., 4.3772e-08, 0.0000e+00, 5.2154e-08], [ 6.5193e-09, 8.3819e-09, -8.1956e-08, ..., -2.0768e-07, 9.3132e-10, 6.9849e-08], [-7.6368e-08, 9.3132e-09, 2.5146e-08, ..., 2.7940e-08, 0.0000e+00, -1.4845e-06], ..., [ 3.6322e-08, 1.7695e-08, 2.5705e-07, ..., 3.4645e-07, -9.3132e-10, 8.6147e-07], [ 4.9360e-08, 3.4459e-08, 1.0803e-07, ..., 1.3504e-07, 1.8626e-09, 3.7905e-07], [ 2.4214e-08, -2.6431e-06, -2.4617e-05, ..., -1.7554e-05, 3.7253e-09, 2.8871e-08]], device='cuda:0') Epoch 201, bias, value: tensor([-0.0242, -0.0257, -0.0370, -0.0029, 0.0053, 0.0388, 0.0201, -0.0140, 0.0025, -0.0074], device='cuda:0'), grad: tensor([ 1.6764e-07, -5.0943e-07, -1.7853e-06, -5.6345e-07, 2.8744e-05, -2.9840e-06, 3.3602e-06, 1.8440e-06, 8.4378e-07, -2.9117e-05], device='cuda:0') 100 0.0001 changing lr epoch 200, time 214.06, cls_loss 0.0018 cls_loss_mapping 0.0033 cls_loss_causal 0.5030 re_mapping 0.0054 re_causal 0.0155 /// teacc 99.06 lr 0.00010000 Epoch 202, weight, value: tensor([[ 0.0215, -0.0706, -0.0481, ..., -0.1777, -0.0838, -0.1379], [-0.0435, -0.0541, -0.0299, ..., 0.0295, 0.0247, -0.1176], [ 0.0331, -0.1160, -0.1308, ..., 0.0189, -0.1506, 0.0701], ..., [-0.0082, -0.0230, -0.1496, ..., -0.1282, 0.0202, 0.1294], [ 0.0676, -0.1095, -0.0930, ..., -0.1264, -0.0778, -0.0983], [-0.1528, 0.0208, 0.1092, ..., 0.0831, -0.0730, -0.1416]], device='cuda:0'), grad: tensor([[-4.4703e-08, 1.1176e-08, 9.6858e-08, ..., 6.4261e-08, 1.8626e-09, 2.7008e-08], [ 1.2107e-08, 2.1420e-08, -2.2724e-07, ..., -3.1199e-07, 1.8626e-09, 2.0005e-06], [-1.0245e-07, 2.3283e-08, 3.5390e-08, ..., -1.8626e-08, 9.3132e-10, 1.8813e-07], ..., [ 8.3819e-09, -5.4017e-08, 3.6322e-07, ..., 3.8277e-07, -5.5879e-09, -2.9393e-06], [ 9.0338e-08, 8.8476e-08, 5.9791e-07, ..., 4.9919e-07, 3.7253e-09, 6.0257e-07], [ 3.3528e-08, -1.0245e-07, -5.3924e-07, ..., -5.5414e-07, 9.3132e-10, 7.3574e-08]], device='cuda:0') Epoch 202, bias, value: tensor([-0.0241, -0.0258, -0.0367, -0.0021, 0.0056, 0.0387, 0.0201, -0.0139, 0.0022, -0.0080], device='cuda:0'), grad: tensor([-9.3132e-10, 4.4331e-06, 6.1002e-07, 2.2352e-07, -3.7439e-07, 7.5437e-08, -6.6124e-08, -6.8508e-06, 2.5928e-06, -6.3051e-07], device='cuda:0') 100 0.0001 changing lr epoch 201, time 214.23, cls_loss 0.0014 cls_loss_mapping 0.0027 cls_loss_causal 0.4941 re_mapping 0.0052 re_causal 0.0157 /// teacc 99.02 lr 0.00010000 Epoch 203, weight, value: tensor([[ 0.0215, -0.0707, -0.0483, ..., -0.1787, -0.0838, -0.1384], [-0.0436, -0.0533, -0.0297, ..., 0.0293, 0.0247, -0.1176], [ 0.0338, -0.1165, -0.1312, ..., 0.0214, -0.1507, 0.0711], ..., [-0.0084, -0.0236, -0.1498, ..., -0.1284, 0.0202, 0.1294], [ 0.0674, -0.1102, -0.0932, ..., -0.1268, -0.0809, -0.0987], [-0.1534, 0.0209, 0.1094, ..., 0.0832, -0.0730, -0.1417]], device='cuda:0'), grad: tensor([[-1.2852e-07, 2.7940e-09, 2.0489e-08, ..., 1.8626e-08, 0.0000e+00, 1.8626e-09], [ 5.5879e-09, 1.3970e-08, -5.1688e-07, ..., -3.0827e-07, 0.0000e+00, 1.6764e-08], [ 8.3819e-09, 5.5879e-09, 2.7008e-08, ..., 4.4703e-08, 0.0000e+00, 6.5193e-09], ..., [ 3.7253e-09, 9.3132e-10, 3.9861e-07, ..., 3.3248e-07, -9.3132e-10, -3.9116e-08], [ 2.2352e-08, 5.0291e-08, 2.9802e-07, ..., 4.2096e-07, 0.0000e+00, 1.5832e-08], [ 9.5926e-08, -9.7789e-08, -2.3842e-07, ..., -9.9652e-08, 9.3132e-10, 2.1420e-08]], device='cuda:0') Epoch 203, bias, value: tensor([-0.0242, -0.0256, -0.0357, -0.0008, 0.0056, 0.0379, 0.0202, -0.0141, 0.0020, -0.0079], device='cuda:0'), grad: tensor([-3.5204e-07, -1.5656e-06, 1.5460e-07, 3.2276e-05, -9.2201e-08, -3.3140e-05, 5.5414e-07, 1.0543e-06, 1.0552e-06, 3.5390e-08], device='cuda:0') 100 0.0001 changing lr epoch 202, time 213.86, cls_loss 0.0016 cls_loss_mapping 0.0034 cls_loss_causal 0.5092 re_mapping 0.0051 re_causal 0.0150 /// teacc 99.02 lr 0.00010000 Epoch 204, weight, value: tensor([[ 0.0216, -0.0709, -0.0485, ..., -0.1791, -0.0838, -0.1390], [-0.0436, -0.0534, -0.0295, ..., 0.0297, 0.0248, -0.1177], [ 0.0338, -0.1171, -0.1319, ..., 0.0212, -0.1508, 0.0713], ..., [-0.0083, -0.0236, -0.1500, ..., -0.1286, 0.0201, 0.1295], [ 0.0672, -0.1113, -0.0933, ..., -0.1274, -0.0815, -0.0992], [-0.1539, 0.0208, 0.1094, ..., 0.0831, -0.0732, -0.1420]], device='cuda:0'), grad: tensor([[-3.1665e-08, 7.4506e-09, 6.0536e-08, ..., 1.3690e-07, 3.7253e-09, 1.6112e-07], [ 1.9930e-07, 1.0151e-07, -3.9674e-07, ..., 5.3085e-08, 4.6566e-08, 4.5728e-07], [ 1.3039e-08, 9.3132e-08, 6.8918e-08, ..., -4.1444e-07, 9.3132e-10, -1.8058e-06], ..., [ 2.0489e-08, -3.9861e-07, 2.0489e-08, ..., 4.3586e-07, 9.3132e-10, -8.2795e-07], [ 2.3749e-07, 5.1223e-08, 1.3690e-07, ..., 1.4845e-06, 6.4261e-08, 1.4715e-07], [ 6.8918e-08, 1.3132e-07, 1.6671e-07, ..., 2.5705e-07, 7.4506e-09, 3.6228e-07]], device='cuda:0') Epoch 204, bias, value: tensor([-0.0241, -0.0256, -0.0359, 0.0020, 0.0055, 0.0358, 0.0201, -0.0141, 0.0018, -0.0080], device='cuda:0'), grad: tensor([ 5.2620e-07, 5.9325e-07, -4.6454e-06, 2.4252e-06, 1.0794e-06, -3.3900e-06, 7.9721e-07, -1.2843e-06, 2.3469e-06, 1.5395e-06], device='cuda:0') 100 0.0001 changing lr epoch 203, time 214.23, cls_loss 0.0015 cls_loss_mapping 0.0025 cls_loss_causal 0.4801 re_mapping 0.0052 re_causal 0.0155 /// teacc 98.93 lr 0.00010000 Epoch 205, weight, value: tensor([[ 0.0216, -0.0712, -0.0487, ..., -0.1793, -0.0839, -0.1397], [-0.0439, -0.0536, -0.0292, ..., 0.0301, 0.0248, -0.1177], [ 0.0339, -0.1178, -0.1332, ..., 0.0207, -0.1508, 0.0709], ..., [-0.0085, -0.0235, -0.1502, ..., -0.1289, 0.0201, 0.1296], [ 0.0672, -0.1121, -0.0936, ..., -0.1278, -0.0816, -0.0995], [-0.1548, 0.0206, 0.1094, ..., 0.0829, -0.0733, -0.1426]], device='cuda:0'), grad: tensor([[ 2.9802e-08, 9.4064e-08, 1.2573e-06, ..., 1.1502e-06, 0.0000e+00, 7.7300e-08], [ 3.0734e-08, 5.4948e-08, 2.6636e-07, ..., -3.7067e-07, 1.8626e-09, 2.8219e-07], [ 3.1665e-08, 2.2352e-08, 2.4773e-07, ..., 2.3749e-07, 9.3132e-10, -9.5088e-07], ..., [ 5.5879e-09, 5.6811e-08, 9.8627e-07, ..., 1.1036e-06, -7.4506e-09, -5.0291e-08], [-3.7625e-07, 7.9162e-08, 6.9104e-07, ..., 8.1584e-07, 9.3132e-10, 6.5472e-07], [ 1.2945e-07, -5.0571e-07, -4.8503e-06, ..., -5.2117e-06, 9.3132e-10, 9.7789e-08]], device='cuda:0') Epoch 205, bias, value: tensor([-0.0241, -0.0255, -0.0363, 0.0021, 0.0056, 0.0359, 0.0202, -0.0141, 0.0018, -0.0085], device='cuda:0'), grad: tensor([ 3.3639e-06, -8.8383e-07, -1.0105e-06, 7.6182e-07, -1.4901e-07, 1.2275e-06, 3.2652e-06, 3.0790e-06, 1.6671e-06, -1.1340e-05], device='cuda:0') 100 0.0001 changing lr epoch 204, time 213.88, cls_loss 0.0020 cls_loss_mapping 0.0031 cls_loss_causal 0.5215 re_mapping 0.0052 re_causal 0.0148 /// teacc 99.07 lr 0.00010000 Epoch 206, weight, value: tensor([[ 0.0218, -0.0722, -0.0493, ..., -0.1804, -0.0839, -0.1425], [-0.0445, -0.0535, -0.0291, ..., 0.0303, 0.0248, -0.1177], [ 0.0342, -0.1180, -0.1355, ..., 0.0190, -0.1509, 0.0714], ..., [-0.0088, -0.0237, -0.1506, ..., -0.1295, 0.0202, 0.1296], [ 0.0677, -0.1126, -0.0937, ..., -0.1283, -0.0818, -0.0998], [-0.1554, 0.0201, 0.1092, ..., 0.0826, -0.0733, -0.1428]], device='cuda:0'), grad: tensor([[ 1.0245e-07, 2.1420e-08, 1.1735e-07, ..., 6.0536e-08, 0.0000e+00, 3.0734e-08], [ 1.7323e-07, 2.9802e-08, -5.2433e-07, ..., -8.0559e-07, 0.0000e+00, 4.0047e-08], [ 7.6368e-08, 3.4459e-08, 8.5682e-08, ..., 3.6322e-08, 0.0000e+00, -2.0303e-07], ..., [ 2.2445e-07, 7.9162e-08, 4.4890e-07, ..., 4.9453e-07, -9.3132e-10, -3.9116e-08], [-9.5274e-07, 4.6100e-07, -3.7253e-08, ..., 2.6356e-07, 0.0000e+00, 1.7583e-06], [ 2.1886e-07, 7.7300e-08, -2.4401e-07, ..., -2.1420e-07, 0.0000e+00, 1.3039e-08]], device='cuda:0') Epoch 206, bias, value: tensor([-0.0241, -0.0255, -0.0366, 0.0019, 0.0068, 0.0361, 0.0199, -0.0142, 0.0021, -0.0089], device='cuda:0'), grad: tensor([ 8.3819e-07, -1.0831e-06, 2.7753e-07, -6.1579e-06, 6.0815e-07, 4.6100e-07, -1.8626e-09, 2.7306e-06, 1.1595e-06, 1.1446e-06], device='cuda:0') 100 0.0001 changing lr epoch 205, time 213.79, cls_loss 0.0014 cls_loss_mapping 0.0023 cls_loss_causal 0.5117 re_mapping 0.0050 re_causal 0.0151 /// teacc 99.00 lr 0.00010000 Epoch 207, weight, value: tensor([[ 0.0219, -0.0726, -0.0493, ..., -0.1807, -0.0840, -0.1430], [-0.0455, -0.0536, -0.0295, ..., 0.0303, 0.0248, -0.1178], [ 0.0339, -0.1182, -0.1373, ..., 0.0189, -0.1510, 0.0712], ..., [-0.0090, -0.0239, -0.1510, ..., -0.1299, 0.0203, 0.1298], [ 0.0681, -0.1132, -0.0936, ..., -0.1287, -0.0819, -0.1001], [-0.1562, 0.0190, 0.1082, ..., 0.0816, -0.0737, -0.1430]], device='cuda:0'), grad: tensor([[ 4.9360e-08, 1.3039e-08, 8.0094e-08, ..., 1.8533e-07, 0.0000e+00, 2.8871e-08], [ 3.9414e-06, 1.3970e-08, 1.0148e-05, ..., -1.2759e-07, 0.0000e+00, 4.0047e-08], [ 1.9278e-07, 2.4214e-08, 2.6636e-07, ..., 1.1642e-07, 0.0000e+00, 1.8813e-07], ..., [ 2.7940e-07, 6.6124e-08, 2.3749e-07, ..., 4.4983e-07, 0.0000e+00, -6.8918e-08], [-5.3570e-06, 6.3330e-08, -1.1533e-05, ..., 4.3586e-07, 0.0000e+00, 2.3004e-07], [ 1.8347e-07, 1.5832e-08, 2.2165e-07, ..., 2.1234e-07, 0.0000e+00, 4.3772e-08]], device='cuda:0') Epoch 207, bias, value: tensor([-0.0240, -0.0256, -0.0375, 0.0017, 0.0070, 0.0361, 0.0221, -0.0142, 0.0023, -0.0105], device='cuda:0'), grad: tensor([ 1.8347e-07, 5.0306e-05, 1.8338e-06, -1.4715e-06, 1.3802e-06, -3.2336e-05, 3.5048e-05, 1.4203e-06, -5.7727e-05, 1.3830e-06], device='cuda:0') 100 0.0001 changing lr epoch 206, time 214.29, cls_loss 0.0021 cls_loss_mapping 0.0037 cls_loss_causal 0.4789 re_mapping 0.0055 re_causal 0.0150 /// teacc 99.03 lr 0.00010000 Epoch 208, weight, value: tensor([[ 0.0222, -0.0730, -0.0495, ..., -0.1812, -0.0841, -0.1435], [-0.0467, -0.0508, -0.0270, ..., 0.0312, 0.0247, -0.1169], [ 0.0336, -0.1188, -0.1385, ..., 0.0184, -0.1510, 0.0697], ..., [-0.0101, -0.0267, -0.1535, ..., -0.1306, 0.0204, 0.1291], [ 0.0697, -0.1136, -0.0932, ..., -0.1290, -0.0820, -0.1001], [-0.1596, 0.0193, 0.1085, ..., 0.0818, -0.0744, -0.1438]], device='cuda:0'), grad: tensor([[ 1.1176e-08, 2.7940e-09, 1.5832e-08, ..., 2.2352e-08, 0.0000e+00, 7.8231e-08], [ 2.3283e-08, 6.5193e-09, -3.2783e-07, ..., -3.3341e-07, 0.0000e+00, 6.7987e-08], [ 4.4703e-08, 9.3132e-09, 6.5193e-09, ..., 1.1176e-08, 0.0000e+00, -4.0326e-07], ..., [ 1.0245e-08, 1.6764e-08, 1.5367e-07, ..., 1.6391e-07, 0.0000e+00, 6.1467e-08], [-2.1793e-07, 3.0734e-08, 6.0536e-08, ..., 1.8347e-07, 0.0000e+00, 1.2759e-07], [ 6.7987e-08, 9.3132e-10, -2.8871e-08, ..., -1.3970e-08, 0.0000e+00, 1.9558e-08]], device='cuda:0') Epoch 208, bias, value: tensor([-0.0239, -0.0247, -0.0391, 0.0011, 0.0068, 0.0366, 0.0219, -0.0150, 0.0035, -0.0107], device='cuda:0'), grad: tensor([ 1.8999e-07, -8.4843e-07, -5.1036e-07, -9.1568e-06, 3.4180e-07, -7.3910e-06, 1.6749e-05, 6.0350e-07, -1.1642e-07, 2.1234e-07], device='cuda:0') 100 0.0001 changing lr epoch 207, time 214.23, cls_loss 0.0021 cls_loss_mapping 0.0034 cls_loss_causal 0.4950 re_mapping 0.0055 re_causal 0.0157 /// teacc 99.00 lr 0.00010000 Epoch 209, weight, value: tensor([[ 0.0192, -0.0730, -0.0498, ..., -0.1823, -0.0842, -0.1439], [-0.0469, -0.0508, -0.0267, ..., 0.0316, 0.0247, -0.1169], [ 0.0306, -0.1190, -0.1399, ..., 0.0155, -0.1511, 0.0702], ..., [-0.0108, -0.0267, -0.1535, ..., -0.1307, 0.0204, 0.1291], [ 0.0739, -0.1138, -0.0934, ..., -0.1273, -0.0837, -0.0995], [-0.1605, 0.0194, 0.1068, ..., 0.0800, -0.0744, -0.1442]], device='cuda:0'), grad: tensor([[-3.3714e-07, 0.0000e+00, 8.3819e-09, ..., 4.4703e-08, 0.0000e+00, 2.1420e-07], [ 1.1176e-08, 2.7940e-09, -7.3574e-08, ..., 3.1292e-07, 0.0000e+00, 4.3865e-07], [ 1.1176e-08, 1.8626e-09, 5.5879e-09, ..., -2.3283e-08, 0.0000e+00, -2.7910e-05], ..., [ 9.3132e-09, -2.7940e-09, 2.9802e-08, ..., 3.8277e-07, 0.0000e+00, 2.3633e-05], [ 4.0047e-08, 2.7940e-09, 2.0489e-08, ..., 2.3097e-07, 0.0000e+00, 1.1455e-06], [ 1.4994e-07, 9.3132e-10, -7.4506e-09, ..., 4.4890e-07, 0.0000e+00, 2.9337e-07]], device='cuda:0') Epoch 209, bias, value: tensor([-0.0268, -0.0246, -0.0407, 0.0034, 0.0084, 0.0347, 0.0233, -0.0150, 0.0064, -0.0123], device='cuda:0'), grad: tensor([-6.8825e-07, 1.7611e-06, -3.8803e-05, -1.4985e-04, 1.5460e-07, 1.4853e-04, 4.7684e-07, 3.3677e-05, 2.4773e-06, 2.5202e-06], device='cuda:0') 100 0.0001 changing lr epoch 208, time 214.20, cls_loss 0.0017 cls_loss_mapping 0.0030 cls_loss_causal 0.4903 re_mapping 0.0053 re_causal 0.0155 /// teacc 99.05 lr 0.00010000 Epoch 210, weight, value: tensor([[ 0.0195, -0.0737, -0.0499, ..., -0.1830, -0.0842, -0.1449], [-0.0469, -0.0508, -0.0260, ..., 0.0327, 0.0247, -0.1177], [ 0.0307, -0.1191, -0.1402, ..., 0.0157, -0.1511, 0.0713], ..., [-0.0110, -0.0268, -0.1542, ..., -0.1318, 0.0204, 0.1298], [ 0.0738, -0.1141, -0.0938, ..., -0.1282, -0.0837, -0.0999], [-0.1622, 0.0194, 0.1063, ..., 0.0795, -0.0744, -0.1448]], device='cuda:0'), grad: tensor([[-2.2247e-05, 6.5193e-09, 5.1223e-08, ..., 5.6811e-08, 1.8626e-09, 1.3970e-08], [ 8.6240e-07, 1.3039e-08, 2.5239e-07, ..., 2.9337e-07, 1.4901e-08, 4.1910e-08], [ 7.8138e-07, 1.0245e-08, 1.1083e-07, ..., 1.2759e-07, 0.0000e+00, 1.8626e-08], ..., [ 1.8161e-07, 1.1176e-08, 4.7684e-07, ..., 5.9232e-07, 1.4901e-08, -4.3772e-08], [ 1.8897e-06, 1.1176e-08, 3.4552e-07, ..., 5.8766e-07, 7.8231e-08, 4.1910e-08], [ 3.3155e-06, -5.5879e-09, -4.2692e-06, ..., -4.9509e-06, 1.6764e-08, 4.7497e-08]], device='cuda:0') Epoch 210, bias, value: tensor([-0.0266, -0.0251, -0.0403, 0.0023, 0.0087, 0.0358, 0.0230, -0.0145, 0.0060, -0.0128], device='cuda:0'), grad: tensor([-7.2658e-05, 3.2596e-06, 2.8014e-06, 4.4517e-07, 5.3309e-06, 9.0525e-07, 4.8339e-05, 1.4370e-06, 6.7912e-06, 3.3453e-06], device='cuda:0') 100 0.0001 changing lr epoch 209, time 214.17, cls_loss 0.0020 cls_loss_mapping 0.0037 cls_loss_causal 0.4852 re_mapping 0.0050 re_causal 0.0147 /// teacc 99.08 lr 0.00010000 Epoch 211, weight, value: tensor([[ 0.0196, -0.0739, -0.0505, ..., -0.1839, -0.0842, -0.1458], [-0.0474, -0.0508, -0.0259, ..., 0.0329, 0.0247, -0.1178], [ 0.0310, -0.1194, -0.1407, ..., 0.0158, -0.1510, 0.0716], ..., [-0.0116, -0.0270, -0.1552, ..., -0.1324, 0.0204, 0.1300], [ 0.0736, -0.1146, -0.0945, ..., -0.1290, -0.0838, -0.1003], [-0.1634, 0.0197, 0.1068, ..., 0.0797, -0.0745, -0.1455]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 2.7940e-09, 2.1160e-06, ..., 6.3842e-07, 0.0000e+00, 2.1420e-08], [ 1.9558e-08, 5.1223e-09, 6.7428e-07, ..., 1.3085e-07, 0.0000e+00, 5.1223e-08], [-3.2596e-08, 1.3970e-09, 1.0291e-07, ..., -7.0781e-08, 0.0000e+00, -3.6601e-07], ..., [ 2.7940e-08, 1.4901e-08, 6.9104e-07, ..., 3.6461e-07, 0.0000e+00, 1.7229e-07], [ 5.7975e-07, 3.2131e-08, -8.6147e-08, ..., 2.1923e-06, 0.0000e+00, 7.2177e-08], [ 1.2433e-07, -3.6322e-08, -2.0768e-07, ..., -1.3132e-07, 0.0000e+00, 4.8894e-08]], device='cuda:0') Epoch 211, bias, value: tensor([-0.0265, -0.0250, -0.0399, 0.0046, 0.0086, 0.0337, 0.0229, -0.0147, 0.0056, -0.0124], device='cuda:0'), grad: tensor([ 6.9775e-06, 2.3134e-06, -4.2422e-07, 7.6229e-07, -1.8224e-05, -4.2506e-06, 6.6645e-06, 2.5108e-06, 3.2187e-06, 4.2468e-07], device='cuda:0') 100 0.0001 changing lr epoch 210, time 214.27, cls_loss 0.0011 cls_loss_mapping 0.0018 cls_loss_causal 0.5131 re_mapping 0.0049 re_causal 0.0155 /// teacc 99.09 lr 0.00010000 Epoch 212, weight, value: tensor([[ 0.0197, -0.0740, -0.0505, ..., -0.1842, -0.0842, -0.1462], [-0.0476, -0.0508, -0.0258, ..., 0.0330, 0.0247, -0.1178], [ 0.0310, -0.1196, -0.1414, ..., 0.0156, -0.1510, 0.0710], ..., [-0.0118, -0.0270, -0.1555, ..., -0.1328, 0.0204, 0.1301], [ 0.0736, -0.1149, -0.0953, ..., -0.1298, -0.0838, -0.1006], [-0.1640, 0.0197, 0.1070, ..., 0.0799, -0.0745, -0.1458]], device='cuda:0'), grad: tensor([[ 1.9884e-07, 2.3283e-09, 1.9260e-06, ..., 2.3190e-07, 0.0000e+00, 1.2666e-07], [ 4.3306e-08, 4.1910e-09, 4.1910e-07, ..., 3.3062e-08, 0.0000e+00, 5.1223e-08], [ 9.8720e-08, 5.5879e-09, 1.6009e-06, ..., 4.0792e-07, 0.0000e+00, -1.1362e-07], ..., [ 9.7789e-09, 1.6764e-08, 3.9628e-07, ..., 3.6415e-07, 0.0000e+00, 5.3551e-08], [ 9.8720e-08, 1.1176e-08, 3.7113e-07, ..., 3.9767e-07, 0.0000e+00, 6.0536e-08], [ 5.9605e-08, -2.7008e-08, 6.3749e-07, ..., 1.8347e-07, 0.0000e+00, 4.2375e-08]], device='cuda:0') Epoch 212, bias, value: tensor([-0.0264, -0.0250, -0.0403, 0.0046, 0.0085, 0.0338, 0.0227, -0.0147, 0.0053, -0.0121], device='cuda:0'), grad: tensor([ 4.6827e-06, -1.1316e-07, 3.0920e-06, -2.5537e-06, -3.4302e-05, 1.9670e-06, 2.2545e-05, 1.2852e-06, 1.8664e-06, 1.4622e-06], device='cuda:0') 100 0.0001 changing lr epoch 211, time 214.15, cls_loss 0.0011 cls_loss_mapping 0.0026 cls_loss_causal 0.5099 re_mapping 0.0051 re_causal 0.0154 /// teacc 99.00 lr 0.00010000 Epoch 213, weight, value: tensor([[ 0.0197, -0.0741, -0.0507, ..., -0.1847, -0.0842, -0.1467], [-0.0477, -0.0509, -0.0254, ..., 0.0339, 0.0247, -0.1178], [ 0.0312, -0.1199, -0.1426, ..., 0.0158, -0.1510, 0.0714], ..., [-0.0121, -0.0270, -0.1556, ..., -0.1331, 0.0204, 0.1302], [ 0.0734, -0.1155, -0.0959, ..., -0.1306, -0.0838, -0.1012], [-0.1644, 0.0199, 0.1071, ..., 0.0800, -0.0745, -0.1460]], device='cuda:0'), grad: tensor([[-2.3283e-09, 4.1910e-09, 1.7649e-07, ..., 4.6566e-07, 0.0000e+00, 2.7008e-08], [ 1.4901e-08, 2.3283e-08, -5.1223e-08, ..., 1.1362e-07, 0.0000e+00, 5.4482e-08], [ 1.7695e-08, 3.2596e-09, 1.6764e-08, ..., 3.0268e-08, 0.0000e+00, -4.7497e-07], ..., [ 2.1886e-08, -3.9581e-08, 1.0384e-07, ..., 2.2445e-07, 0.0000e+00, 2.9476e-07], [-1.9697e-07, 2.1886e-08, 9.3412e-07, ..., 2.5406e-06, 0.0000e+00, -9.3132e-10], [ 5.9139e-08, -2.4214e-08, -6.0648e-06, ..., -1.7151e-05, 0.0000e+00, 1.5832e-08]], device='cuda:0') Epoch 213, bias, value: tensor([-0.0264, -0.0249, -0.0403, 0.0046, 0.0084, 0.0338, 0.0228, -0.0147, 0.0048, -0.0121], device='cuda:0'), grad: tensor([ 1.1977e-06, -7.1079e-06, 1.2107e-08, 6.9365e-06, 1.3728e-06, 1.2159e-05, 6.1560e-07, 3.0622e-06, 5.5730e-06, -2.3812e-05], device='cuda:0') 100 0.0001 changing lr epoch 212, time 214.27, cls_loss 0.0015 cls_loss_mapping 0.0036 cls_loss_causal 0.5337 re_mapping 0.0050 re_causal 0.0149 /// teacc 99.02 lr 0.00010000 Epoch 214, weight, value: tensor([[ 0.0197, -0.0743, -0.0511, ..., -0.1861, -0.0842, -0.1474], [-0.0477, -0.0510, -0.0250, ..., 0.0347, 0.0247, -0.1179], [ 0.0312, -0.1198, -0.1438, ..., 0.0159, -0.1511, 0.0725], ..., [-0.0124, -0.0269, -0.1557, ..., -0.1335, 0.0204, 0.1303], [ 0.0733, -0.1171, -0.0973, ..., -0.1319, -0.0839, -0.1018], [-0.1648, 0.0200, 0.1073, ..., 0.0802, -0.0746, -0.1468]], device='cuda:0'), grad: tensor([[ 1.0403e-06, 9.3132e-09, 8.3866e-07, ..., 3.9116e-08, 9.3132e-10, 1.8626e-08], [ 7.4040e-08, 1.6764e-08, -8.7079e-08, ..., -2.8405e-07, 5.1223e-09, 3.6787e-08], [ 5.9139e-08, 2.6077e-08, 6.3330e-08, ..., 2.4214e-08, 1.5832e-08, 3.4459e-08], ..., [ 7.4506e-09, -6.3330e-08, 1.1409e-07, ..., 2.0443e-07, -5.7742e-08, -1.9697e-07], [ 5.7789e-07, 2.5611e-08, 6.1048e-07, ..., 1.6531e-07, 3.2596e-09, 4.7497e-08], [ 5.7742e-08, -1.7229e-08, -1.4389e-07, ..., -2.7381e-07, 1.0710e-08, 6.5658e-08]], device='cuda:0') Epoch 214, bias, value: tensor([-0.0264, -0.0248, -0.0397, 0.0046, 0.0083, 0.0339, 0.0227, -0.0147, 0.0042, -0.0120], device='cuda:0'), grad: tensor([ 5.5730e-06, -1.0291e-07, 4.1351e-07, 1.1409e-07, 1.4435e-08, 6.4000e-06, -1.5870e-05, 1.0151e-07, 3.3900e-06, -3.7719e-08], device='cuda:0') 100 0.0001 changing lr epoch 213, time 214.26, cls_loss 0.0018 cls_loss_mapping 0.0025 cls_loss_causal 0.4798 re_mapping 0.0052 re_causal 0.0148 /// teacc 98.97 lr 0.00010000 Epoch 215, weight, value: tensor([[ 0.0198, -0.0751, -0.0516, ..., -0.1886, -0.0843, -0.1492], [-0.0479, -0.0512, -0.0249, ..., 0.0331, 0.0248, -0.1180], [ 0.0312, -0.1204, -0.1435, ..., 0.0164, -0.1510, 0.0727], ..., [-0.0130, -0.0259, -0.1558, ..., -0.1314, 0.0205, 0.1313], [ 0.0737, -0.1173, -0.0977, ..., -0.1325, -0.0843, -0.1020], [-0.1660, 0.0194, 0.1073, ..., 0.0799, -0.0752, -0.1497]], device='cuda:0'), grad: tensor([[-4.4331e-06, -2.9104e-07, -1.1083e-07, ..., 5.8673e-08, 0.0000e+00, 2.4680e-08], [ 1.4296e-07, 8.8476e-09, 1.4110e-07, ..., 1.5507e-07, 2.7940e-09, 1.0291e-07], [ 2.2212e-07, 2.8405e-08, 1.2340e-07, ..., 1.2480e-07, 4.6566e-10, 9.9186e-08], ..., [ 3.3062e-08, -1.5832e-08, 3.0501e-07, ..., 4.3772e-07, 1.3970e-09, 2.1420e-08], [-2.8778e-07, 1.1176e-08, 1.6717e-07, ..., 2.0070e-07, 4.6566e-10, -3.5157e-07], [ 1.3513e-06, 4.8429e-08, 7.0175e-07, ..., 9.2620e-07, 4.6566e-09, 8.1491e-08]], device='cuda:0') Epoch 215, bias, value: tensor([-0.0264, -0.0251, -0.0395, 0.0041, 0.0080, 0.0345, 0.0227, -0.0141, 0.0043, -0.0126], device='cuda:0'), grad: tensor([-2.3320e-05, 9.8161e-07, 1.6829e-06, 8.0764e-06, -4.1351e-06, 4.4331e-07, 7.0743e-06, 9.3738e-07, -1.0896e-06, 9.2834e-06], device='cuda:0') 100 0.0001 changing lr epoch 214, time 214.03, cls_loss 0.0016 cls_loss_mapping 0.0026 cls_loss_causal 0.4906 re_mapping 0.0051 re_causal 0.0143 /// teacc 99.01 lr 0.00010000 Epoch 216, weight, value: tensor([[ 0.0198, -0.0752, -0.0518, ..., -0.1895, -0.0844, -0.1499], [-0.0481, -0.0508, -0.0238, ..., 0.0344, 0.0248, -0.1180], [ 0.0311, -0.1208, -0.1451, ..., 0.0162, -0.1514, 0.0726], ..., [-0.0142, -0.0263, -0.1568, ..., -0.1330, 0.0205, 0.1314], [ 0.0736, -0.1181, -0.0984, ..., -0.1335, -0.0846, -0.1019], [-0.1672, 0.0195, 0.1076, ..., 0.0804, -0.0752, -0.1501]], device='cuda:0'), grad: tensor([[ 6.0024e-07, 4.8522e-07, 3.1712e-07, ..., 6.6590e-08, 0.0000e+00, 1.3970e-09], [ 2.3423e-07, 1.5134e-07, -1.7183e-07, ..., -1.7323e-07, 9.3132e-10, 1.3039e-08], [ 1.3690e-07, 7.0781e-08, 1.0850e-07, ..., 5.3085e-08, 0.0000e+00, 9.3132e-09], ..., [ 1.5879e-07, 1.0617e-07, 3.6787e-07, ..., 2.9802e-07, -3.7253e-09, -2.4214e-08], [-6.3851e-06, -4.5262e-06, -1.6894e-06, ..., 2.9057e-07, 4.6566e-10, 2.9802e-08], [ 4.0419e-06, 2.8666e-06, 3.0594e-07, ..., -1.1763e-06, 4.6566e-10, 1.0245e-08]], device='cuda:0') Epoch 216, bias, value: tensor([-0.0263, -0.0249, -0.0398, 0.0038, 0.0079, 0.0347, 0.0226, -0.0144, 0.0042, -0.0122], device='cuda:0'), grad: tensor([ 5.4874e-06, 6.7987e-07, 1.0971e-06, 6.6832e-06, 7.5856e-07, 2.6543e-06, 9.8813e-07, 2.2482e-06, -5.0962e-05, 3.0428e-05], device='cuda:0') 100 0.0001 changing lr epoch 215, time 214.04, cls_loss 0.0017 cls_loss_mapping 0.0030 cls_loss_causal 0.5174 re_mapping 0.0049 re_causal 0.0146 /// teacc 99.10 lr 0.00010000 Epoch 217, weight, value: tensor([[ 0.0198, -0.0766, -0.0522, ..., -0.1913, -0.0844, -0.1514], [-0.0483, -0.0510, -0.0235, ..., 0.0348, 0.0249, -0.1180], [ 0.0311, -0.1213, -0.1462, ..., 0.0162, -0.1514, 0.0730], ..., [-0.0129, -0.0261, -0.1570, ..., -0.1329, 0.0205, 0.1317], [ 0.0738, -0.1200, -0.0982, ..., -0.1343, -0.0847, -0.1028], [-0.1686, 0.0197, 0.1078, ..., 0.0804, -0.0752, -0.1507]], device='cuda:0'), grad: tensor([[-8.9407e-08, 4.3306e-08, 7.6834e-08, ..., 1.3364e-07, 0.0000e+00, 2.5690e-05], [ 2.8405e-08, 5.2620e-08, 1.0505e-06, ..., 1.2983e-06, 0.0000e+00, 1.5674e-06], [ 2.6543e-08, 5.5879e-09, 8.3819e-08, ..., 8.4285e-08, 0.0000e+00, -1.9968e-04], ..., [ 1.7229e-08, 4.2394e-06, 2.7400e-06, ..., 9.5963e-06, 0.0000e+00, 9.9540e-05], [ 1.7760e-06, 5.1223e-08, 1.2025e-05, ..., 4.0792e-06, 0.0000e+00, 6.4112e-06], [ 7.3109e-08, -4.9807e-06, -1.5348e-06, ..., -9.4846e-06, 0.0000e+00, 5.4166e-06]], device='cuda:0') Epoch 217, bias, value: tensor([-0.0264, -0.0248, -0.0398, 0.0037, 0.0076, 0.0349, 0.0224, -0.0142, 0.0042, -0.0122], device='cuda:0'), grad: tensor([ 6.0648e-05, 5.7667e-06, -4.7231e-04, 1.3077e-04, -2.4468e-05, -6.4261e-07, 8.0913e-06, 2.5344e-04, 4.3839e-05, -5.5395e-06], device='cuda:0') 100 0.0001 changing lr epoch 216, time 214.09, cls_loss 0.0017 cls_loss_mapping 0.0035 cls_loss_causal 0.5175 re_mapping 0.0051 re_causal 0.0156 /// teacc 99.07 lr 0.00010000 Epoch 218, weight, value: tensor([[ 0.0199, -0.0769, -0.0522, ..., -0.1910, -0.0844, -0.1530], [-0.0490, -0.0511, -0.0234, ..., 0.0350, 0.0249, -0.1182], [ 0.0315, -0.1215, -0.1468, ..., 0.0163, -0.1511, 0.0752], ..., [-0.0134, -0.0261, -0.1576, ..., -0.1338, 0.0205, 0.1317], [ 0.0742, -0.1199, -0.1011, ..., -0.1363, -0.0850, -0.1051], [-0.1698, 0.0198, 0.1097, ..., 0.0822, -0.0752, -0.1480]], device='cuda:0'), grad: tensor([[-2.7940e-09, 1.9092e-08, 2.6543e-08, ..., 3.6322e-08, 0.0000e+00, 4.8894e-08], [-2.2817e-07, 6.3796e-08, -6.9384e-08, ..., -1.7043e-07, 0.0000e+00, -6.3237e-07], [ 1.3225e-07, 2.1420e-08, 3.0734e-08, ..., 2.9337e-08, 0.0000e+00, 2.6263e-07], ..., [ 1.5087e-07, -4.1462e-06, 6.9384e-08, ..., 9.9652e-08, 0.0000e+00, -9.2248e-07], [-8.6613e-08, 1.4156e-07, -3.4925e-08, ..., 2.8452e-07, 0.0000e+00, 3.4925e-08], [ 6.7055e-08, 3.9488e-06, -1.1642e-07, ..., -8.6613e-08, 0.0000e+00, 1.2405e-06]], device='cuda:0') Epoch 218, bias, value: tensor([-0.0263, -0.0249, -0.0381, 0.0036, 0.0054, 0.0352, 0.0219, -0.0143, 0.0030, -0.0097], device='cuda:0'), grad: tensor([ 2.0908e-07, -3.9488e-06, 1.5870e-06, 2.5257e-06, 6.2073e-07, -3.2596e-06, 7.5856e-07, -9.6709e-06, -2.5611e-07, 1.1444e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 217---------------------------------------------------- epoch 217, time 230.24, cls_loss 0.0013 cls_loss_mapping 0.0021 cls_loss_causal 0.4936 re_mapping 0.0049 re_causal 0.0149 /// teacc 99.13 lr 0.00010000 Epoch 219, weight, value: tensor([[ 0.0199, -0.0772, -0.0526, ..., -0.1903, -0.0844, -0.1533], [-0.0494, -0.0511, -0.0219, ..., 0.0366, 0.0249, -0.1183], [ 0.0317, -0.1219, -0.1473, ..., 0.0166, -0.1511, 0.0753], ..., [-0.0122, -0.0259, -0.1590, ..., -0.1348, 0.0205, 0.1321], [ 0.0744, -0.1197, -0.1009, ..., -0.1366, -0.0850, -0.1056], [-0.1721, 0.0195, 0.1095, ..., 0.0820, -0.0752, -0.1483]], device='cuda:0'), grad: tensor([[ 4.8755e-07, 1.1269e-07, 3.9116e-08, ..., 9.7789e-09, 0.0000e+00, 3.3639e-06], [ 1.2992e-07, 1.3039e-07, 1.6298e-08, ..., 2.0443e-07, 0.0000e+00, 7.6974e-07], [ 1.3178e-07, 4.5169e-08, 1.2480e-07, ..., 8.8476e-09, 0.0000e+00, 6.3097e-07], ..., [-1.9390e-06, -3.3574e-07, 2.4680e-07, ..., 1.3132e-07, 0.0000e+00, -1.0781e-05], [ 1.4715e-07, 9.4064e-08, 7.2177e-08, ..., 4.3772e-08, 0.0000e+00, 8.4285e-07], [ 6.9058e-07, -1.1642e-08, 4.1351e-06, ..., 2.5406e-06, 0.0000e+00, 3.6340e-06]], device='cuda:0') Epoch 219, bias, value: tensor([-0.0263, -0.0245, -0.0381, 0.0037, 0.0054, 0.0352, 0.0219, -0.0144, 0.0030, -0.0101], device='cuda:0'), grad: tensor([ 7.7412e-06, 1.4873e-06, 2.0042e-06, 2.2817e-07, -5.4836e-06, 2.0415e-06, 3.3295e-07, -2.5034e-05, 2.3320e-06, 1.4357e-05], device='cuda:0') 100 0.0001 changing lr epoch 218, time 214.28, cls_loss 0.0014 cls_loss_mapping 0.0029 cls_loss_causal 0.4895 re_mapping 0.0048 re_causal 0.0146 /// teacc 99.08 lr 0.00010000 Epoch 220, weight, value: tensor([[ 0.0199, -0.0776, -0.0528, ..., -0.1911, -0.0844, -0.1540], [-0.0500, -0.0513, -0.0217, ..., 0.0372, 0.0249, -0.1184], [ 0.0321, -0.1223, -0.1479, ..., 0.0169, -0.1511, 0.0755], ..., [-0.0100, -0.0252, -0.1585, ..., -0.1341, 0.0205, 0.1327], [ 0.0746, -0.1197, -0.1016, ..., -0.1376, -0.0850, -0.1061], [-0.1733, 0.0189, 0.1092, ..., 0.0819, -0.0753, -0.1487]], device='cuda:0'), grad: tensor([[-1.3690e-07, 3.1665e-08, 2.7474e-08, ..., 5.0757e-08, 4.6566e-09, 8.2422e-08], [ 3.5856e-08, 1.0850e-07, 3.7719e-08, ..., 1.5367e-08, 1.4435e-08, 1.8487e-07], [-2.5425e-07, 4.8894e-08, 4.8894e-08, ..., 3.7719e-08, 8.3819e-09, -1.0757e-07], ..., [ 4.5169e-08, 4.7356e-05, 1.5358e-06, ..., 2.0359e-06, 7.3947e-06, 6.5684e-05], [-4.9360e-07, 2.4680e-07, -6.2250e-06, ..., -1.0384e-07, 3.6322e-08, 3.6508e-07], [ 2.8126e-07, 4.1956e-07, -1.6764e-06, ..., -2.2184e-06, 4.6566e-08, 5.6345e-07]], device='cuda:0') Epoch 220, bias, value: tensor([-0.0263, -0.0245, -0.0380, 0.0035, 0.0053, 0.0352, 0.0220, -0.0139, 0.0026, -0.0105], device='cuda:0'), grad: tensor([ 2.9756e-07, 5.6345e-07, -1.5851e-06, -1.3494e-04, 2.4121e-07, 1.7518e-06, 1.7643e-05, 1.3745e-04, -2.0340e-05, -1.0403e-06], device='cuda:0') 100 0.0001 changing lr epoch 219, time 214.00, cls_loss 0.0013 cls_loss_mapping 0.0025 cls_loss_causal 0.4987 re_mapping 0.0047 re_causal 0.0142 /// teacc 99.00 lr 0.00010000 Epoch 221, weight, value: tensor([[ 0.0200, -0.0777, -0.0529, ..., -0.1916, -0.0844, -0.1545], [-0.0502, -0.0514, -0.0219, ..., 0.0369, 0.0248, -0.1184], [ 0.0319, -0.1227, -0.1488, ..., 0.0167, -0.1511, 0.0756], ..., [-0.0097, -0.0252, -0.1585, ..., -0.1342, 0.0205, 0.1328], [ 0.0747, -0.1201, -0.1019, ..., -0.1381, -0.0855, -0.1064], [-0.1738, 0.0188, 0.1095, ..., 0.0820, -0.0756, -0.1489]], device='cuda:0'), grad: tensor([[-3.3434e-06, 6.5193e-09, 3.4925e-08, ..., 9.2667e-08, 0.0000e+00, 1.0245e-08], [ 2.4214e-08, 1.4435e-08, 6.7987e-08, ..., 6.1467e-08, 0.0000e+00, 2.1886e-08], [ 6.7521e-08, 1.8626e-08, 7.0781e-08, ..., 1.2200e-07, 0.0000e+00, -1.7229e-08], ..., [ 5.4482e-08, 1.5367e-08, 5.1223e-08, ..., 8.5682e-08, 0.0000e+00, 3.8184e-08], [ 5.0757e-08, 2.5146e-08, 9.6858e-08, ..., 2.0256e-07, 0.0000e+00, 3.1199e-08], [ 1.1921e-07, -6.3330e-08, -4.8429e-08, ..., 1.6298e-08, 0.0000e+00, 9.3132e-09]], device='cuda:0') Epoch 221, bias, value: tensor([-0.0262, -0.0246, -0.0383, 0.0035, 0.0053, 0.0353, 0.0220, -0.0139, 0.0024, -0.0105], device='cuda:0'), grad: tensor([-9.1791e-06, 7.3574e-07, 6.6683e-07, 1.8347e-07, -9.7416e-07, 1.3579e-06, 8.4862e-06, 5.8906e-07, -3.5595e-06, 1.6876e-06], device='cuda:0') 100 0.0001 changing lr epoch 220, time 214.04, cls_loss 0.0013 cls_loss_mapping 0.0020 cls_loss_causal 0.5030 re_mapping 0.0051 re_causal 0.0146 /// teacc 99.10 lr 0.00010000 Epoch 222, weight, value: tensor([[ 0.0200, -0.0779, -0.0533, ..., -0.1921, -0.0845, -0.1550], [-0.0504, -0.0516, -0.0218, ..., 0.0360, 0.0248, -0.1184], [ 0.0319, -0.1229, -0.1512, ..., 0.0166, -0.1511, 0.0743], ..., [-0.0101, -0.0252, -0.1587, ..., -0.1344, 0.0208, 0.1329], [ 0.0747, -0.1213, -0.1021, ..., -0.1387, -0.0856, -0.1047], [-0.1745, 0.0188, 0.1094, ..., 0.0819, -0.0770, -0.1492]], device='cuda:0'), grad: tensor([[ 4.4703e-08, 4.1910e-09, 6.2399e-08, ..., 2.1420e-08, 0.0000e+00, 1.5367e-08], [ 1.6764e-08, 2.1188e-07, -2.0117e-07, ..., 3.3854e-07, 0.0000e+00, 1.8114e-06], [ 2.0023e-08, 1.7881e-07, 2.4214e-08, ..., -8.0699e-07, 0.0000e+00, -7.3481e-07], ..., [-1.8161e-08, -5.6159e-07, 4.0838e-07, ..., 4.4052e-07, 0.0000e+00, -1.8664e-06], [-2.8592e-07, 1.9185e-07, -1.7416e-07, ..., 8.3819e-08, 0.0000e+00, 6.5425e-07], [ 7.6368e-08, 1.5786e-07, 1.8626e-07, ..., 7.7765e-08, 0.0000e+00, 2.3982e-07]], device='cuda:0') Epoch 222, bias, value: tensor([-0.0262, -0.0247, -0.0397, 0.0036, 0.0055, 0.0354, 0.0218, -0.0139, 0.0031, -0.0106], device='cuda:0'), grad: tensor([ 3.1292e-07, 3.3285e-06, -2.1793e-06, -6.3237e-07, -1.4156e-06, 2.4913e-07, 7.4971e-07, -2.1979e-06, 4.6985e-07, 1.3132e-06], device='cuda:0') 100 0.0001 changing lr epoch 221, time 214.07, cls_loss 0.0012 cls_loss_mapping 0.0020 cls_loss_causal 0.4886 re_mapping 0.0048 re_causal 0.0144 /// teacc 99.02 lr 0.00010000 Epoch 223, weight, value: tensor([[ 0.0200, -0.0782, -0.0535, ..., -0.1926, -0.0845, -0.1555], [-0.0508, -0.0517, -0.0219, ..., 0.0387, 0.0247, -0.1176], [ 0.0318, -0.1233, -0.1521, ..., 0.0135, -0.1511, 0.0716], ..., [-0.0101, -0.0253, -0.1589, ..., -0.1346, 0.0209, 0.1329], [ 0.0749, -0.1216, -0.1023, ..., -0.1391, -0.0857, -0.1048], [-0.1749, 0.0192, 0.1095, ..., 0.0819, -0.0771, -0.1492]], device='cuda:0'), grad: tensor([[ 9.6392e-08, 3.7998e-07, 3.3434e-07, ..., 8.0653e-07, 0.0000e+00, 8.9966e-07], [ 2.7008e-08, 1.8347e-07, -3.1758e-06, ..., -5.6103e-06, 0.0000e+00, 7.7393e-07], [ 1.7229e-08, 3.2503e-07, 1.1548e-07, ..., -4.0978e-08, 0.0000e+00, -7.0315e-07], ..., [ 1.1176e-08, 3.4645e-07, 1.3700e-06, ..., 1.8803e-06, 0.0000e+00, 3.6228e-07], [ 3.9116e-08, 1.6810e-07, 2.8592e-07, ..., 6.0396e-07, 0.0000e+00, 6.7055e-07], [ 1.8161e-08, -4.9919e-07, -5.5181e-07, ..., -2.9057e-07, 0.0000e+00, 1.5879e-07]], device='cuda:0') Epoch 223, bias, value: tensor([-0.0262, -0.0233, -0.0428, 0.0033, 0.0056, 0.0357, 0.0218, -0.0139, 0.0032, -0.0106], device='cuda:0'), grad: tensor([ 4.0084e-06, -1.1452e-05, -2.1104e-06, -4.6417e-06, 6.8359e-07, 3.6526e-06, 1.3504e-06, 4.8205e-06, 2.8890e-06, 7.4599e-07], device='cuda:0') 100 0.0001 changing lr epoch 222, time 214.22, cls_loss 0.0015 cls_loss_mapping 0.0029 cls_loss_causal 0.5121 re_mapping 0.0049 re_causal 0.0147 /// teacc 99.10 lr 0.00010000 Epoch 224, weight, value: tensor([[ 0.0200, -0.0798, -0.0541, ..., -0.1937, -0.0845, -0.1569], [-0.0516, -0.0520, -0.0208, ..., 0.0392, 0.0247, -0.1178], [ 0.0315, -0.1238, -0.1527, ..., 0.0136, -0.1511, 0.0725], ..., [-0.0097, -0.0248, -0.1602, ..., -0.1355, 0.0210, 0.1335], [ 0.0761, -0.1204, -0.1012, ..., -0.1396, -0.0857, -0.1051], [-0.1775, 0.0189, 0.1093, ..., 0.0819, -0.0771, -0.1495]], device='cuda:0'), grad: tensor([[-2.1607e-07, 5.1223e-09, 7.3574e-08, ..., 7.3574e-08, 0.0000e+00, 5.1223e-08], [ 2.1886e-08, 2.4680e-08, 6.4727e-08, ..., 7.6368e-08, 4.6566e-10, 9.4064e-08], [ 8.8476e-09, 7.9162e-09, -3.2922e-07, ..., 2.2817e-08, 0.0000e+00, -1.2089e-06], ..., [ 1.0245e-08, -1.5832e-08, 7.2923e-07, ..., 8.6892e-07, -4.6566e-10, 2.0955e-08], [ 2.5611e-08, 7.9162e-09, 1.5767e-06, ..., 2.0191e-06, 0.0000e+00, 1.0431e-07], [ 1.4249e-07, 1.5367e-08, -3.5334e-06, ..., -4.2319e-06, 0.0000e+00, -4.2375e-08]], device='cuda:0') Epoch 224, bias, value: tensor([-0.0264, -0.0230, -0.0425, 0.0031, 0.0057, 0.0355, 0.0218, -0.0141, 0.0044, -0.0110], device='cuda:0'), grad: tensor([-4.9639e-07, 5.3924e-07, -2.0862e-06, -1.0524e-06, 3.2857e-06, -2.0396e-07, 2.9877e-06, 2.4326e-06, 5.4240e-06, -1.0826e-05], device='cuda:0') 100 0.0001 changing lr epoch 223, time 214.08, cls_loss 0.0011 cls_loss_mapping 0.0020 cls_loss_causal 0.5000 re_mapping 0.0046 re_causal 0.0138 /// teacc 99.02 lr 0.00010000 Epoch 225, weight, value: tensor([[ 0.0201, -0.0800, -0.0542, ..., -0.1945, -0.0845, -0.1565], [-0.0518, -0.0521, -0.0207, ..., 0.0392, 0.0247, -0.1180], [ 0.0314, -0.1242, -0.1531, ..., 0.0136, -0.1512, 0.0725], ..., [-0.0102, -0.0248, -0.1604, ..., -0.1354, 0.0210, 0.1338], [ 0.0761, -0.1209, -0.1015, ..., -0.1406, -0.0857, -0.1055], [-0.1788, 0.0190, 0.1093, ..., 0.0818, -0.0771, -0.1497]], device='cuda:0'), grad: tensor([[ 6.5658e-08, 2.7940e-09, 6.5193e-08, ..., 5.8208e-08, 0.0000e+00, 5.9605e-08], [ 1.8161e-08, 8.2422e-08, 2.3749e-06, ..., 1.8338e-06, 0.0000e+00, 2.1700e-07], [-5.1875e-07, 5.5879e-09, 4.0513e-08, ..., -1.8114e-07, 0.0000e+00, -6.7288e-07], ..., [ 1.4901e-08, -5.3551e-08, 2.0396e-07, ..., 2.4354e-07, 0.0000e+00, -2.1514e-07], [ 1.0096e-06, 8.1025e-08, 1.5767e-06, ..., 4.3362e-06, 0.0000e+00, 5.1828e-07], [ 2.0256e-07, 1.2340e-07, 8.6650e-06, ..., 6.9737e-06, 0.0000e+00, 1.7136e-07]], device='cuda:0') Epoch 225, bias, value: tensor([-0.0262, -0.0230, -0.0426, 0.0031, 0.0057, 0.0356, 0.0217, -0.0140, 0.0041, -0.0111], device='cuda:0'), grad: tensor([ 3.9721e-07, 5.6364e-06, -2.3544e-06, 2.3358e-06, -2.7567e-05, -9.1046e-06, 2.0722e-07, 2.7334e-07, 9.7901e-06, 2.0355e-05], device='cuda:0') 100 0.0001 changing lr epoch 224, time 214.05, cls_loss 0.0014 cls_loss_mapping 0.0029 cls_loss_causal 0.4997 re_mapping 0.0047 re_causal 0.0143 /// teacc 99.02 lr 0.00010000 Epoch 226, weight, value: tensor([[ 0.0202, -0.0803, -0.0549, ..., -0.1945, -0.0845, -0.1565], [-0.0521, -0.0521, -0.0204, ..., 0.0395, 0.0247, -0.1181], [ 0.0311, -0.1247, -0.1543, ..., 0.0136, -0.1512, 0.0719], ..., [-0.0108, -0.0250, -0.1607, ..., -0.1360, 0.0211, 0.1342], [ 0.0752, -0.1212, -0.1024, ..., -0.1432, -0.0858, -0.1057], [-0.1804, 0.0194, 0.1092, ..., 0.0817, -0.0771, -0.1501]], device='cuda:0'), grad: tensor([[-1.5777e-06, 9.3132e-10, 1.8626e-09, ..., 1.3039e-08, 0.0000e+00, 5.1223e-09], [ 9.4064e-08, 1.3039e-08, -1.7416e-07, ..., -2.3190e-07, 0.0000e+00, 7.1246e-08], [ 1.3597e-07, 5.1223e-09, 8.3819e-09, ..., 7.9162e-09, 0.0000e+00, -5.1223e-09], ..., [ 5.9139e-08, 8.9407e-08, 1.1642e-07, ..., 2.1514e-07, 0.0000e+00, 5.8068e-07], [-1.3039e-08, 5.0291e-08, 7.5437e-08, ..., 7.4506e-08, 0.0000e+00, 3.3341e-07], [ 4.0932e-07, -1.9092e-08, -7.0315e-08, ..., -6.0070e-08, 0.0000e+00, 2.9802e-08]], device='cuda:0') Epoch 226, bias, value: tensor([-0.0261, -0.0229, -0.0427, 0.0031, 0.0056, 0.0360, 0.0218, -0.0140, 0.0032, -0.0114], device='cuda:0'), grad: tensor([-5.9418e-06, -2.7474e-07, 5.9605e-07, -1.6214e-06, 1.6158e-07, 1.1614e-06, 1.8822e-06, 1.7211e-06, 5.4110e-07, 1.7807e-06], device='cuda:0') 100 0.0001 changing lr epoch 225, time 214.19, cls_loss 0.0013 cls_loss_mapping 0.0033 cls_loss_causal 0.4750 re_mapping 0.0051 re_causal 0.0147 /// teacc 99.01 lr 0.00010000 Epoch 227, weight, value: tensor([[ 0.0204, -0.0806, -0.0551, ..., -0.1949, -0.0849, -0.1565], [-0.0524, -0.0523, -0.0206, ..., 0.0394, 0.0247, -0.1184], [ 0.0310, -0.1260, -0.1575, ..., 0.0136, -0.1515, 0.0719], ..., [-0.0110, -0.0243, -0.1603, ..., -0.1359, 0.0215, 0.1348], [ 0.0749, -0.1215, -0.1026, ..., -0.1438, -0.0863, -0.1063], [-0.1815, 0.0185, 0.1095, ..., 0.0820, -0.0788, -0.1510]], device='cuda:0'), grad: tensor([[-5.5041e-07, 3.9116e-08, 3.9041e-05, ..., 3.0547e-06, 0.0000e+00, 1.1176e-08], [ 3.9116e-08, 3.7253e-08, -5.1782e-07, ..., -5.3234e-06, 0.0000e+00, 7.0781e-08], [ 7.6368e-08, 5.1223e-08, 5.0012e-07, ..., 7.0501e-07, 0.0000e+00, 6.5193e-09], ..., [ 1.9558e-08, 8.8476e-08, 9.0338e-07, ..., 1.5227e-06, 0.0000e+00, 1.5367e-07], [-1.4156e-07, 9.4995e-08, 3.9209e-07, ..., 1.8720e-06, 0.0000e+00, 5.4017e-08], [ 4.8541e-06, 1.5587e-05, -2.6345e-05, ..., 6.9499e-05, 0.0000e+00, 1.2107e-08]], device='cuda:0') Epoch 227, bias, value: tensor([-0.0258, -0.0230, -0.0430, 0.0031, 0.0054, 0.0361, 0.0216, -0.0136, 0.0028, -0.0115], device='cuda:0'), grad: tensor([ 9.2983e-05, -9.3132e-06, 2.5984e-06, 2.5973e-05, 4.5747e-06, -1.1778e-04, 1.5525e-06, 4.7684e-06, 5.2154e-08, -5.6177e-06], device='cuda:0') 100 0.0001 changing lr epoch 226, time 213.96, cls_loss 0.0011 cls_loss_mapping 0.0021 cls_loss_causal 0.5015 re_mapping 0.0046 re_causal 0.0143 /// teacc 99.13 lr 0.00010000 Epoch 228, weight, value: tensor([[ 0.0205, -0.0807, -0.0556, ..., -0.1956, -0.0849, -0.1561], [-0.0530, -0.0524, -0.0207, ..., 0.0394, 0.0247, -0.1184], [ 0.0309, -0.1265, -0.1586, ..., 0.0136, -0.1515, 0.0719], ..., [-0.0113, -0.0242, -0.1605, ..., -0.1362, 0.0216, 0.1349], [ 0.0748, -0.1221, -0.1030, ..., -0.1443, -0.0864, -0.1067], [-0.1821, 0.0182, 0.1096, ..., 0.0820, -0.0791, -0.1513]], device='cuda:0'), grad: tensor([[-3.4459e-08, 6.0536e-08, 3.0734e-08, ..., 9.1270e-08, 0.0000e+00, 1.4342e-07], [ 4.6566e-09, 4.4145e-07, -5.6438e-07, ..., -3.7532e-07, 9.3132e-10, 7.0967e-07], [ 1.1176e-08, 6.3330e-08, 3.4459e-08, ..., 5.5879e-08, 9.3132e-10, -8.3074e-07], ..., [ 2.7940e-09, -6.1374e-07, 2.9150e-07, ..., 2.7288e-07, -2.7940e-09, -4.9639e-07], [-3.6322e-08, 5.1502e-07, 1.3225e-07, ..., 5.6531e-07, 9.3132e-10, 1.1791e-06], [ 2.7940e-08, 2.1439e-06, -3.9116e-08, ..., 3.1888e-06, 9.3132e-10, 4.9584e-06]], device='cuda:0') Epoch 228, bias, value: tensor([-0.0256, -0.0230, -0.0431, 0.0032, 0.0054, 0.0361, 0.0215, -0.0136, 0.0024, -0.0116], device='cuda:0'), grad: tensor([ 4.5635e-07, -2.0713e-06, -7.0874e-07, -2.1547e-05, 9.9745e-07, 4.0010e-06, 1.6671e-07, -4.7497e-08, 3.5688e-06, 1.5184e-05], device='cuda:0') 100 0.0001 changing lr epoch 227, time 214.13, cls_loss 0.0013 cls_loss_mapping 0.0027 cls_loss_causal 0.5021 re_mapping 0.0046 re_causal 0.0141 /// teacc 99.08 lr 0.00010000 Epoch 229, weight, value: tensor([[ 0.0206, -0.0809, -0.0556, ..., -0.1961, -0.0849, -0.1562], [-0.0538, -0.0527, -0.0202, ..., 0.0396, 0.0247, -0.1184], [ 0.0306, -0.1268, -0.1600, ..., 0.0135, -0.1524, 0.0718], ..., [-0.0116, -0.0243, -0.1616, ..., -0.1382, 0.0217, 0.1349], [ 0.0745, -0.1230, -0.1040, ..., -0.1448, -0.0865, -0.1073], [-0.1827, 0.0176, 0.1096, ..., 0.0819, -0.0791, -0.1517]], device='cuda:0'), grad: tensor([[-8.3540e-07, 1.8626e-09, 3.1665e-08, ..., 5.5879e-09, 0.0000e+00, 4.6566e-09], [ 7.6368e-08, 7.9162e-08, -1.9558e-08, ..., -5.0291e-08, 0.0000e+00, 3.3714e-07], [ 7.4506e-08, 1.5832e-08, 4.0978e-08, ..., 9.3132e-10, 0.0000e+00, 6.3330e-08], ..., [ 1.2573e-07, -8.7544e-08, 5.4017e-08, ..., 7.7300e-08, 0.0000e+00, -4.2934e-07], [ 2.0396e-07, 1.2107e-08, 5.5879e-08, ..., 1.1083e-07, 0.0000e+00, 2.6077e-08], [ 2.2538e-07, -1.0245e-08, -7.7300e-08, ..., 4.5635e-08, 0.0000e+00, 4.8429e-08]], device='cuda:0') Epoch 229, bias, value: tensor([-0.0254, -0.0227, -0.0433, 0.0035, 0.0061, 0.0362, 0.0217, -0.0144, 0.0017, -0.0121], device='cuda:0'), grad: tensor([-3.3639e-06, 1.0533e-06, 5.2992e-07, 1.0300e-06, 4.1816e-07, -8.0094e-07, -3.8929e-07, -4.2375e-07, 9.7975e-07, 9.5926e-07], device='cuda:0') 100 0.0001 changing lr epoch 228, time 213.92, cls_loss 0.0019 cls_loss_mapping 0.0040 cls_loss_causal 0.5019 re_mapping 0.0051 re_causal 0.0142 /// teacc 99.05 lr 0.00010000 Epoch 230, weight, value: tensor([[ 0.0206, -0.0845, -0.0565, ..., -0.1976, -0.0849, -0.1600], [-0.0547, -0.0530, -0.0206, ..., 0.0395, 0.0247, -0.1185], [ 0.0306, -0.1278, -0.1615, ..., 0.0135, -0.1554, 0.0706], ..., [-0.0116, -0.0242, -0.1627, ..., -0.1395, 0.0224, 0.1361], [ 0.0745, -0.1257, -0.1049, ..., -0.1457, -0.0870, -0.1082], [-0.1829, 0.0198, 0.1099, ..., 0.0824, -0.0795, -0.1521]], device='cuda:0'), grad: tensor([[ 1.7695e-08, 2.4214e-08, 3.6322e-08, ..., 1.6764e-08, 0.0000e+00, 6.4261e-08], [ 2.4214e-08, 3.4459e-08, 8.3819e-09, ..., 8.3819e-09, 0.0000e+00, 7.8231e-08], [ 8.3819e-09, 1.1176e-08, 1.8626e-09, ..., -4.6566e-09, 0.0000e+00, -4.5635e-08], ..., [-4.2841e-08, -1.8626e-09, 4.6566e-08, ..., 7.4506e-08, 0.0000e+00, -8.1956e-08], [-5.0291e-08, 2.7940e-08, 8.8476e-08, ..., 1.4901e-07, 0.0000e+00, 5.6811e-08], [ 1.5832e-08, -3.4459e-08, -6.6124e-07, ..., -7.9162e-07, 0.0000e+00, 2.4214e-08]], device='cuda:0') Epoch 230, bias, value: tensor([-0.0256, -0.0228, -0.0439, 0.0036, 0.0063, 0.0360, 0.0219, -0.0141, 0.0010, -0.0117], device='cuda:0'), grad: tensor([ 2.6263e-07, 2.8685e-07, -4.1910e-08, -2.7008e-06, 8.2236e-07, 2.6189e-06, 3.4459e-08, -1.1828e-07, 9.3132e-08, -1.2666e-06], device='cuda:0') 100 0.0001 changing lr epoch 229, time 214.16, cls_loss 0.0011 cls_loss_mapping 0.0025 cls_loss_causal 0.4752 re_mapping 0.0049 re_causal 0.0149 /// teacc 99.06 lr 0.00010000 Epoch 231, weight, value: tensor([[ 0.0206, -0.0847, -0.0570, ..., -0.1984, -0.0850, -0.1602], [-0.0551, -0.0532, -0.0206, ..., 0.0396, 0.0247, -0.1190], [ 0.0306, -0.1287, -0.1631, ..., 0.0135, -0.1554, 0.0707], ..., [-0.0118, -0.0243, -0.1632, ..., -0.1404, 0.0225, 0.1365], [ 0.0746, -0.1258, -0.1045, ..., -0.1458, -0.0871, -0.1088], [-0.1833, 0.0189, 0.1096, ..., 0.0823, -0.0796, -0.1522]], device='cuda:0'), grad: tensor([[-1.3970e-07, 3.6322e-08, 9.3132e-08, ..., 7.4506e-08, 0.0000e+00, 6.5193e-09], [ 2.2352e-08, 3.0734e-08, 2.7940e-08, ..., -3.2596e-08, 0.0000e+00, 5.6811e-08], [ 6.5193e-09, 2.5146e-08, 1.8626e-08, ..., 1.5832e-08, 0.0000e+00, -1.4901e-08], ..., [ 9.3132e-09, -5.6811e-08, 6.2399e-08, ..., 8.3819e-08, 0.0000e+00, -2.2724e-07], [-1.8710e-06, 1.9558e-08, -2.2631e-06, ..., 4.1630e-07, 0.0000e+00, 9.1270e-08], [ 5.7742e-08, -2.0862e-07, -4.5355e-07, ..., -2.4773e-07, 0.0000e+00, 1.6764e-08]], device='cuda:0') Epoch 231, bias, value: tensor([-0.0257, -0.0230, -0.0438, 0.0037, 0.0069, 0.0360, 0.0219, -0.0141, 0.0012, -0.0121], device='cuda:0'), grad: tensor([-2.4494e-07, 1.7229e-07, 7.0781e-08, 1.5646e-07, 4.6752e-07, 1.4305e-06, 9.3207e-06, -3.0641e-07, -1.0595e-05, -5.1875e-07], device='cuda:0') 100 0.0001 changing lr epoch 230, time 214.00, cls_loss 0.0017 cls_loss_mapping 0.0031 cls_loss_causal 0.5040 re_mapping 0.0047 re_causal 0.0137 /// teacc 99.02 lr 0.00010000 Epoch 232, weight, value: tensor([[ 0.0209, -0.0850, -0.0573, ..., -0.2000, -0.0852, -0.1609], [-0.0555, -0.0533, -0.0206, ..., 0.0399, 0.0246, -0.1191], [ 0.0304, -0.1305, -0.1658, ..., 0.0135, -0.1554, 0.0709], ..., [-0.0119, -0.0242, -0.1636, ..., -0.1410, 0.0226, 0.1366], [ 0.0746, -0.1271, -0.1053, ..., -0.1469, -0.0857, -0.1093], [-0.1837, 0.0189, 0.1095, ..., 0.0819, -0.0801, -0.1524]], device='cuda:0'), grad: tensor([[-9.7677e-06, 3.7253e-09, 4.3772e-08, ..., -1.2657e-06, 0.0000e+00, 7.4506e-09], [ 1.0245e-07, 5.3085e-08, 3.8184e-08, ..., 3.3528e-08, 0.0000e+00, 2.5239e-07], [ 4.3493e-07, 2.1048e-07, 5.1223e-08, ..., 7.8231e-08, 0.0000e+00, 1.1344e-06], ..., [ 2.7008e-08, -2.8405e-07, 1.0803e-07, ..., 9.2201e-08, 0.0000e+00, -1.5218e-06], [ 1.6671e-07, 4.7497e-08, 1.6578e-07, ..., 1.4156e-07, 0.0000e+00, 1.7881e-07], [ 2.6822e-07, -5.5879e-09, 4.8522e-07, ..., 2.6170e-07, 0.0000e+00, 2.7008e-08]], device='cuda:0') Epoch 232, bias, value: tensor([-0.0253, -0.0230, -0.0438, 0.0038, 0.0074, 0.0356, 0.0219, -0.0142, 0.0011, -0.0125], device='cuda:0'), grad: tensor([-2.7806e-05, 7.7579e-07, 3.1497e-06, -3.2969e-07, -6.8173e-06, 1.4640e-06, 2.8536e-05, -2.0824e-06, 1.1390e-06, 1.9334e-06], device='cuda:0') 100 0.0001 changing lr epoch 231, time 213.92, cls_loss 0.0013 cls_loss_mapping 0.0018 cls_loss_causal 0.4833 re_mapping 0.0047 re_causal 0.0139 /// teacc 99.05 lr 0.00010000 Epoch 233, weight, value: tensor([[ 0.0211, -0.0851, -0.0576, ..., -0.2002, -0.0855, -0.1610], [-0.0559, -0.0526, -0.0204, ..., 0.0405, 0.0246, -0.1189], [ 0.0291, -0.1337, -0.1684, ..., 0.0135, -0.1554, 0.0708], ..., [-0.0121, -0.0250, -0.1639, ..., -0.1424, 0.0226, 0.1365], [ 0.0750, -0.1246, -0.1054, ..., -0.1471, -0.0858, -0.1090], [-0.1843, 0.0205, 0.1109, ..., 0.0831, -0.0802, -0.1525]], device='cuda:0'), grad: tensor([[-5.4576e-07, 1.5832e-08, 1.0058e-07, ..., 8.9407e-08, 0.0000e+00, 6.5193e-09], [ 3.9116e-08, 1.6205e-06, 9.1195e-06, ..., 8.8513e-06, 0.0000e+00, 1.2200e-07], [ 2.3283e-08, 1.4901e-08, 5.8673e-08, ..., 5.6811e-08, 0.0000e+00, -4.8429e-08], ..., [ 1.3039e-08, 1.7183e-06, 1.2055e-05, ..., 1.1571e-05, -9.3132e-10, -1.7229e-07], [-1.0990e-07, 4.3772e-08, 1.6205e-07, ..., 1.5739e-07, 0.0000e+00, 4.5635e-08], [ 1.1176e-07, -9.5814e-06, -5.9873e-05, ..., -5.7697e-05, 0.0000e+00, 2.8871e-08]], device='cuda:0') Epoch 233, bias, value: tensor([-0.0250, -0.0226, -0.0441, 0.0037, 0.0067, 0.0354, 0.0220, -0.0145, 0.0013, -0.0118], device='cuda:0'), grad: tensor([-1.6764e-06, 1.6376e-05, 1.1828e-07, 2.5705e-07, 6.6578e-05, 2.2445e-07, 1.4473e-06, 2.0489e-05, -3.6880e-07, -1.0353e-04], device='cuda:0') 100 0.0001 changing lr epoch 232, time 213.95, cls_loss 0.0014 cls_loss_mapping 0.0030 cls_loss_causal 0.5007 re_mapping 0.0048 re_causal 0.0144 /// teacc 99.01 lr 0.00010000 Epoch 234, weight, value: tensor([[ 0.0211, -0.0851, -0.0578, ..., -0.2008, -0.0855, -0.1611], [-0.0562, -0.0526, -0.0200, ..., 0.0377, 0.0246, -0.1212], [ 0.0294, -0.1339, -0.1716, ..., 0.0165, -0.1555, 0.0740], ..., [-0.0125, -0.0249, -0.1644, ..., -0.1432, 0.0227, 0.1369], [ 0.0747, -0.1248, -0.1057, ..., -0.1478, -0.0858, -0.1098], [-0.1847, 0.0209, 0.1111, ..., 0.0833, -0.0806, -0.1527]], device='cuda:0'), grad: tensor([[-1.4715e-07, 6.5193e-08, 1.6484e-07, ..., 1.8813e-07, 0.0000e+00, 5.6811e-08], [ 2.0489e-08, 1.3318e-07, -2.7008e-08, ..., 8.9407e-08, 9.3132e-10, 1.8347e-07], [-2.7940e-09, 3.4459e-08, 4.4703e-08, ..., 5.6811e-08, 9.3132e-10, -4.6473e-07], ..., [ 9.3132e-09, 1.7323e-07, 9.1828e-07, ..., 9.9372e-07, -9.3132e-10, 6.3330e-08], [ 1.3504e-07, 9.0338e-08, 4.8243e-07, ..., 6.7893e-07, 2.7940e-09, 1.1548e-07], [ 3.1665e-08, -7.3500e-06, -3.7313e-05, ..., -3.0756e-05, 0.0000e+00, 5.4948e-08]], device='cuda:0') Epoch 234, bias, value: tensor([-0.0249, -0.0252, -0.0410, 0.0036, 0.0066, 0.0359, 0.0216, -0.0145, 0.0010, -0.0118], device='cuda:0'), grad: tensor([-4.0047e-08, -8.8196e-07, -7.4692e-07, 1.5777e-06, 4.9293e-05, -5.2433e-07, -4.7497e-08, 2.9244e-06, 2.1346e-06, -5.3793e-05], device='cuda:0') 100 0.0001 changing lr epoch 233, time 214.07, cls_loss 0.0013 cls_loss_mapping 0.0025 cls_loss_causal 0.4976 re_mapping 0.0045 re_causal 0.0139 /// teacc 98.99 lr 0.00010000 Epoch 235, weight, value: tensor([[ 0.0213, -0.0865, -0.0571, ..., -0.2017, -0.0855, -0.1630], [-0.0564, -0.0526, -0.0200, ..., 0.0377, 0.0247, -0.1213], [ 0.0297, -0.1341, -0.1719, ..., 0.0165, -0.1551, 0.0745], ..., [-0.0130, -0.0250, -0.1648, ..., -0.1437, 0.0226, 0.1367], [ 0.0744, -0.1250, -0.1067, ..., -0.1485, -0.0864, -0.1107], [-0.1862, 0.0210, 0.1113, ..., 0.0834, -0.0807, -0.1528]], device='cuda:0'), grad: tensor([[-1.3616e-06, 9.3132e-10, -3.4925e-07, ..., 1.2107e-08, 0.0000e+00, 5.5879e-09], [ 8.2329e-07, 2.7940e-09, 2.5798e-07, ..., 2.7940e-08, 0.0000e+00, 2.6077e-08], [ 4.1910e-08, 1.8626e-09, 1.7695e-08, ..., 1.8626e-09, 0.0000e+00, -4.6566e-09], ..., [ 1.3970e-08, 9.3132e-09, 2.0582e-07, ..., 1.8626e-07, 0.0000e+00, 2.7008e-08], [ 7.4506e-08, 1.0245e-08, 1.3504e-07, ..., 9.9652e-08, 0.0000e+00, 8.6613e-08], [ 5.5879e-08, -6.2399e-08, -1.7881e-06, ..., -1.7192e-06, 0.0000e+00, 2.0489e-08]], device='cuda:0') Epoch 235, bias, value: tensor([-0.0249, -0.0252, -0.0409, 0.0046, 0.0066, 0.0353, 0.0214, -0.0148, 0.0002, -0.0118], device='cuda:0'), grad: tensor([-4.5635e-06, 2.8946e-06, 1.5460e-07, -7.1432e-07, 2.3711e-06, 6.6310e-07, 1.0086e-06, 4.7497e-07, 3.8557e-07, -2.6785e-06], device='cuda:0') 100 0.0001 changing lr epoch 234, time 214.35, cls_loss 0.0011 cls_loss_mapping 0.0021 cls_loss_causal 0.5038 re_mapping 0.0044 re_causal 0.0142 /// teacc 98.99 lr 0.00010000 Epoch 236, weight, value: tensor([[ 0.0213, -0.0867, -0.0590, ..., -0.2022, -0.0855, -0.1633], [-0.0569, -0.0505, -0.0195, ..., 0.0378, 0.0273, -0.1208], [ 0.0297, -0.1343, -0.1724, ..., 0.0165, -0.1551, 0.0747], ..., [-0.0135, -0.0266, -0.1656, ..., -0.1449, 0.0201, 0.1361], [ 0.0744, -0.1253, -0.1072, ..., -0.1488, -0.0867, -0.1110], [-0.1871, 0.0208, 0.1115, ..., 0.0835, -0.0807, -0.1532]], device='cuda:0'), grad: tensor([[-2.6077e-08, 1.8626e-09, 4.1910e-08, ..., 8.3819e-09, 0.0000e+00, 1.1176e-08], [ 2.7940e-09, 5.0291e-08, -3.2596e-08, ..., -6.4261e-08, -7.4506e-09, 1.6019e-07], [ 3.7253e-09, 1.5832e-08, 1.0245e-08, ..., 2.7940e-09, 0.0000e+00, 6.7987e-08], ..., [ 1.8626e-09, 2.2072e-07, 6.3330e-08, ..., 8.1025e-08, 4.6566e-09, 4.3772e-08], [ 1.8626e-08, 1.1176e-08, 6.2399e-08, ..., 2.3283e-08, 0.0000e+00, 4.3772e-08], [ 2.7008e-08, -1.4901e-08, 7.8231e-08, ..., 3.5390e-08, 9.3132e-10, 3.6322e-08]], device='cuda:0') Epoch 236, bias, value: tensor([-0.0251, -0.0247, -0.0408, 0.0045, 0.0064, 0.0353, 0.0220, -0.0158, -0.0002, -0.0117], device='cuda:0'), grad: tensor([-1.5832e-08, 1.4994e-07, 1.4249e-07, -5.8580e-07, -2.4959e-07, -5.2154e-08, -2.1607e-07, 3.2224e-07, 2.2724e-07, 2.7753e-07], device='cuda:0') 100 0.0001 changing lr epoch 235, time 213.93, cls_loss 0.0012 cls_loss_mapping 0.0019 cls_loss_causal 0.4988 re_mapping 0.0042 re_causal 0.0133 /// teacc 99.07 lr 0.00010000 Epoch 237, weight, value: tensor([[ 0.0213, -0.0868, -0.0590, ..., -0.2027, -0.0855, -0.1636], [-0.0572, -0.0505, -0.0191, ..., 0.0379, 0.0274, -0.1209], [ 0.0315, -0.1349, -0.1727, ..., 0.0165, -0.1536, 0.0750], ..., [-0.0141, -0.0264, -0.1661, ..., -0.1454, 0.0201, 0.1364], [ 0.0739, -0.1254, -0.1074, ..., -0.1493, -0.0891, -0.1127], [-0.1887, 0.0208, 0.1114, ..., 0.0834, -0.0808, -0.1533]], device='cuda:0'), grad: tensor([[ 1.8626e-08, 9.3132e-10, 4.6566e-08, ..., 5.5879e-09, 0.0000e+00, 5.5879e-09], [ 1.2107e-08, 1.4901e-08, -9.3132e-10, ..., -6.5193e-09, -0.0000e+00, 4.6566e-08], [ 7.4506e-09, 3.7253e-09, 8.3819e-09, ..., 1.8626e-09, 0.0000e+00, -1.5181e-07], ..., [ 7.4506e-09, -1.8626e-09, 7.6368e-08, ..., 3.2596e-08, 0.0000e+00, 7.5437e-08], [-3.4459e-08, 1.0245e-08, 5.7742e-08, ..., 9.3132e-09, 0.0000e+00, 3.9116e-08], [ 1.8626e-08, -1.5832e-08, 1.5832e-08, ..., 5.5879e-08, 0.0000e+00, 8.3819e-09]], device='cuda:0') Epoch 237, bias, value: tensor([-0.0250, -0.0247, -0.0407, 0.0044, 0.0066, 0.0352, 0.0221, -0.0159, -0.0009, -0.0120], device='cuda:0'), grad: tensor([ 1.1921e-07, 1.0245e-07, -1.4808e-07, -7.5437e-08, -9.3132e-08, 2.2724e-07, -2.7008e-07, 3.0454e-07, -4.1630e-07, 2.4308e-07], device='cuda:0') 100 0.0001 changing lr epoch 236, time 214.02, cls_loss 0.0014 cls_loss_mapping 0.0024 cls_loss_causal 0.5086 re_mapping 0.0044 re_causal 0.0138 /// teacc 99.02 lr 0.00010000 Epoch 238, weight, value: tensor([[ 0.0213, -0.0873, -0.0611, ..., -0.2038, -0.0864, -0.1638], [-0.0577, -0.0506, -0.0190, ..., 0.0379, 0.0273, -0.1206], [ 0.0313, -0.1352, -0.1730, ..., 0.0165, -0.1536, 0.0753], ..., [-0.0145, -0.0264, -0.1663, ..., -0.1456, 0.0201, 0.1359], [ 0.0739, -0.1253, -0.1077, ..., -0.1499, -0.0894, -0.1132], [-0.1898, 0.0210, 0.1115, ..., 0.0834, -0.0810, -0.1535]], device='cuda:0'), grad: tensor([[ 5.0291e-08, 1.3970e-08, 4.6566e-08, ..., 2.4214e-08, 2.7940e-09, 4.0047e-08], [ 2.5146e-08, 2.7008e-08, -1.0068e-06, ..., -8.4005e-07, 0.0000e+00, 4.6566e-08], [ 5.2247e-07, 3.7253e-09, 2.0489e-08, ..., -1.4435e-07, 0.0000e+00, -3.7439e-07], ..., [ 1.3039e-08, 6.3330e-08, 1.4063e-07, ..., 1.4994e-07, 0.0000e+00, 8.4750e-08], [-1.7136e-06, 6.2399e-08, -4.2841e-08, ..., 8.1956e-08, 9.3132e-10, 7.4506e-08], [ 1.4901e-08, 4.6566e-09, 1.1176e-08, ..., 7.7300e-08, 0.0000e+00, 2.4121e-07]], device='cuda:0') Epoch 238, bias, value: tensor([-0.0253, -0.0245, -0.0407, 0.0044, 0.0066, 0.0357, 0.0218, -0.0163, -0.0008, -0.0121], device='cuda:0'), grad: tensor([ 3.3807e-07, -1.3821e-06, 1.2545e-06, -1.8664e-06, 1.3746e-06, 6.3926e-06, 1.5115e-06, 5.5786e-07, -8.9034e-06, 6.8638e-07], device='cuda:0') 100 0.0001 changing lr epoch 237, time 213.91, cls_loss 0.0012 cls_loss_mapping 0.0022 cls_loss_causal 0.4891 re_mapping 0.0044 re_causal 0.0134 /// teacc 99.03 lr 0.00010000 Epoch 239, weight, value: tensor([[ 0.0213, -0.0878, -0.0619, ..., -0.2056, -0.0866, -0.1641], [-0.0583, -0.0507, -0.0191, ..., 0.0379, 0.0273, -0.1207], [ 0.0312, -0.1353, -0.1734, ..., 0.0165, -0.1536, 0.0763], ..., [-0.0147, -0.0264, -0.1664, ..., -0.1458, 0.0201, 0.1353], [ 0.0739, -0.1254, -0.1077, ..., -0.1501, -0.0896, -0.1137], [-0.1906, 0.0217, 0.1119, ..., 0.0838, -0.0810, -0.1536]], device='cuda:0'), grad: tensor([[-1.0971e-06, 0.0000e+00, 6.5193e-09, ..., -2.2911e-07, 0.0000e+00, 9.3132e-10], [ 2.7847e-07, 4.6566e-09, -1.9595e-06, ..., 8.6613e-08, 0.0000e+00, 1.1176e-08], [ 6.2399e-08, 0.0000e+00, 1.5423e-06, ..., 3.3528e-08, 0.0000e+00, -5.0850e-06], ..., [ 9.2201e-08, 9.3132e-10, 3.4925e-07, ..., 3.0734e-08, 0.0000e+00, 5.0552e-06], [ 1.3970e-08, 2.7940e-09, 2.6077e-08, ..., 2.1886e-07, 0.0000e+00, 4.3772e-08], [ 1.8254e-07, -4.6566e-09, 1.7695e-08, ..., 6.9849e-08, 0.0000e+00, 3.7253e-09]], device='cuda:0') Epoch 239, bias, value: tensor([-0.0254, -0.0245, -0.0405, 0.0043, 0.0063, 0.0358, 0.0221, -0.0166, -0.0006, -0.0119], device='cuda:0'), grad: tensor([-2.8461e-06, -2.1607e-05, 1.4015e-05, 1.2955e-06, 3.4086e-07, 4.3586e-07, 3.0566e-06, 1.2435e-05, -9.3132e-06, 2.2184e-06], device='cuda:0') 100 0.0001 changing lr epoch 238, time 214.01, cls_loss 0.0011 cls_loss_mapping 0.0022 cls_loss_causal 0.4944 re_mapping 0.0044 re_causal 0.0134 /// teacc 99.03 lr 0.00010000 Epoch 240, weight, value: tensor([[ 0.0214, -0.0880, -0.0629, ..., -0.2066, -0.0866, -0.1642], [-0.0585, -0.0509, -0.0202, ..., 0.0377, 0.0273, -0.1209], [ 0.0311, -0.1357, -0.1735, ..., 0.0165, -0.1536, 0.0764], ..., [-0.0152, -0.0260, -0.1666, ..., -0.1461, 0.0201, 0.1356], [ 0.0737, -0.1258, -0.1086, ..., -0.1511, -0.0896, -0.1141], [-0.1914, 0.0217, 0.1124, ..., 0.0843, -0.0810, -0.1539]], device='cuda:0'), grad: tensor([[ 2.2352e-08, 0.0000e+00, 3.6322e-08, ..., 1.5832e-08, 0.0000e+00, 1.2014e-07], [ 3.7253e-09, 1.8626e-09, -1.1455e-07, ..., -1.1362e-07, 0.0000e+00, 1.1642e-07], [-9.5926e-08, 0.0000e+00, 1.8626e-09, ..., -1.8626e-08, 0.0000e+00, -7.4357e-06], ..., [ 9.4064e-08, 0.0000e+00, 1.8626e-08, ..., 2.4214e-08, 0.0000e+00, 7.0184e-06], [ 1.2107e-08, 9.3132e-10, 2.9802e-08, ..., 8.5682e-08, 0.0000e+00, 1.0710e-07], [ 1.3970e-08, -1.8626e-08, -7.7300e-08, ..., -8.3819e-08, 0.0000e+00, 9.3132e-09]], device='cuda:0') Epoch 240, bias, value: tensor([-0.0254, -0.0247, -0.0405, 0.0039, 0.0062, 0.0362, 0.0222, -0.0167, -0.0008, -0.0114], device='cuda:0'), grad: tensor([ 3.4552e-07, -4.3772e-08, -1.4380e-05, 1.3504e-07, 9.4995e-08, 1.1176e-08, 6.2399e-08, 1.4946e-05, -1.1902e-06, 4.0047e-08], device='cuda:0') 100 0.0001 changing lr epoch 239, time 214.28, cls_loss 0.0012 cls_loss_mapping 0.0025 cls_loss_causal 0.5017 re_mapping 0.0046 re_causal 0.0143 /// teacc 99.10 lr 0.00010000 Epoch 241, weight, value: tensor([[ 0.0214, -0.0883, -0.0638, ..., -0.2073, -0.0867, -0.1647], [-0.0589, -0.0502, -0.0180, ..., 0.0382, 0.0274, -0.1210], [ 0.0309, -0.1367, -0.1741, ..., 0.0165, -0.1538, 0.0767], ..., [-0.0156, -0.0267, -0.1690, ..., -0.1488, 0.0201, 0.1359], [ 0.0739, -0.1259, -0.1082, ..., -0.1512, -0.0898, -0.1144], [-0.1930, 0.0218, 0.1124, ..., 0.0843, -0.0810, -0.1541]], device='cuda:0'), grad: tensor([[ 1.4901e-08, 7.4506e-09, 3.4459e-08, ..., 1.2107e-08, 0.0000e+00, 2.7940e-08], [ 8.3819e-09, 2.6170e-07, 6.6124e-08, ..., -6.7055e-08, 0.0000e+00, 6.1933e-07], [ 1.8626e-09, 4.0978e-08, 3.0734e-08, ..., 8.3819e-09, 0.0000e+00, 1.5292e-06], ..., [ 2.7940e-09, -5.0291e-07, -8.3819e-08, ..., 1.0058e-07, 0.0000e+00, -3.1367e-06], [-6.1467e-08, 2.5146e-08, 2.6636e-07, ..., 2.9802e-07, 0.0000e+00, 6.1188e-07], [ 5.5879e-09, 1.7788e-07, -1.4529e-07, ..., -7.1712e-08, 0.0000e+00, 3.0361e-07]], device='cuda:0') Epoch 241, bias, value: tensor([-0.0256, -0.0243, -0.0404, 0.0036, 0.0063, 0.0362, 0.0223, -0.0173, -0.0005, -0.0116], device='cuda:0'), grad: tensor([ 1.3318e-07, 1.4212e-06, 2.5816e-06, 6.4261e-08, -1.5022e-06, 4.3306e-07, 1.0571e-06, -5.8711e-06, 8.1118e-07, 8.4843e-07], device='cuda:0') 100 0.0001 changing lr epoch 240, time 214.26, cls_loss 0.0016 cls_loss_mapping 0.0024 cls_loss_causal 0.4761 re_mapping 0.0044 re_causal 0.0128 /// teacc 99.01 lr 0.00010000 Epoch 242, weight, value: tensor([[ 0.0216, -0.0891, -0.0644, ..., -0.2088, -0.0864, -0.1652], [-0.0593, -0.0502, -0.0178, ..., 0.0382, 0.0275, -0.1211], [ 0.0311, -0.1373, -0.1749, ..., 0.0166, -0.1540, 0.0769], ..., [-0.0175, -0.0267, -0.1696, ..., -0.1493, 0.0201, 0.1361], [ 0.0736, -0.1250, -0.1101, ..., -0.1521, -0.0917, -0.1149], [-0.1960, 0.0219, 0.1135, ..., 0.0853, -0.0816, -0.1544]], device='cuda:0'), grad: tensor([[ 2.0396e-07, 4.6566e-09, 1.4808e-07, ..., 2.4214e-08, 9.3132e-10, 1.8626e-08], [ 5.7742e-08, 1.6484e-07, -2.8685e-07, ..., -5.0198e-07, -7.2643e-08, 5.7183e-07], [ 2.3283e-08, 6.6124e-08, 3.3528e-08, ..., 1.5646e-07, 5.5879e-09, -1.8626e-08], ..., [ 1.8626e-09, -4.8801e-07, 3.1292e-07, ..., -6.0629e-07, 1.3970e-08, -1.8505e-06], [ 1.9278e-07, 8.3819e-09, 2.5984e-07, ..., 8.8476e-08, 4.6566e-09, 1.6019e-07], [ 1.2107e-08, 1.4901e-07, -3.6880e-07, ..., 3.2131e-07, 7.4506e-09, 1.1148e-06]], device='cuda:0') Epoch 242, bias, value: tensor([-0.0254, -0.0242, -0.0404, 0.0035, 0.0053, 0.0360, 0.0227, -0.0175, -0.0008, -0.0107], device='cuda:0'), grad: tensor([ 5.6252e-07, 8.1956e-08, 1.7043e-07, -1.4249e-07, 5.3365e-07, 1.0636e-06, -2.0452e-06, -3.2187e-06, 1.1520e-06, 1.8515e-06], device='cuda:0') 100 0.0001 changing lr epoch 241, time 214.21, cls_loss 0.0011 cls_loss_mapping 0.0021 cls_loss_causal 0.4993 re_mapping 0.0046 re_causal 0.0141 /// teacc 99.08 lr 0.00010000 Epoch 243, weight, value: tensor([[ 0.0217, -0.0901, -0.0648, ..., -0.2092, -0.0864, -0.1642], [-0.0601, -0.0508, -0.0176, ..., 0.0383, 0.0275, -0.1213], [ 0.0308, -0.1380, -0.1761, ..., 0.0165, -0.1541, 0.0767], ..., [-0.0177, -0.0257, -0.1695, ..., -0.1494, 0.0201, 0.1369], [ 0.0739, -0.1256, -0.1100, ..., -0.1522, -0.0917, -0.1157], [-0.1969, 0.0214, 0.1133, ..., 0.0851, -0.0816, -0.1554]], device='cuda:0'), grad: tensor([[-5.3737e-07, -5.9605e-08, 3.2037e-07, ..., 1.5274e-07, 2.4214e-08, 4.8429e-08], [ 3.6322e-08, 1.3039e-08, -3.8184e-07, ..., -2.4401e-07, 0.0000e+00, 2.2352e-08], [ 1.0179e-06, 3.8184e-08, 5.7444e-06, ..., 5.2415e-06, 0.0000e+00, 1.1092e-06], ..., [ 1.6764e-08, 2.7940e-09, 2.1327e-07, ..., 2.7940e-07, 0.0000e+00, -2.1420e-08], [-5.3085e-07, -9.2201e-08, 3.0734e-08, ..., 4.7497e-08, 9.3132e-10, -1.3970e-08], [ 2.1700e-07, 2.2165e-07, 1.0757e-06, ..., 8.0094e-07, 0.0000e+00, 2.2165e-07]], device='cuda:0') Epoch 243, bias, value: tensor([-0.0252, -0.0239, -0.0409, 0.0034, 0.0055, 0.0361, 0.0223, -0.0170, -0.0007, -0.0111], device='cuda:0'), grad: tensor([-4.5169e-07, -1.0550e-05, 1.8567e-05, 1.7434e-06, -1.9372e-05, 8.5216e-07, 5.5581e-06, 1.0254e-06, -3.5018e-07, 2.9095e-06], device='cuda:0') 100 0.0001 changing lr epoch 242, time 214.12, cls_loss 0.0012 cls_loss_mapping 0.0023 cls_loss_causal 0.4966 re_mapping 0.0045 re_causal 0.0135 /// teacc 98.94 lr 0.00010000 Epoch 244, weight, value: tensor([[ 0.0217, -0.0903, -0.0655, ..., -0.2091, -0.0858, -0.1643], [-0.0612, -0.0509, -0.0174, ..., 0.0383, 0.0274, -0.1214], [ 0.0307, -0.1383, -0.1770, ..., 0.0165, -0.1543, 0.0770], ..., [-0.0185, -0.0248, -0.1698, ..., -0.1496, 0.0200, 0.1378], [ 0.0738, -0.1261, -0.1106, ..., -0.1529, -0.0947, -0.1164], [-0.1981, 0.0215, 0.1134, ..., 0.0852, -0.0818, -0.1560]], device='cuda:0'), grad: tensor([[-4.6566e-09, 4.6566e-09, 3.6322e-08, ..., 3.1665e-08, 2.7940e-09, 1.1362e-07], [ 9.3132e-10, 2.6543e-07, 8.3819e-08, ..., 3.0734e-08, 5.5879e-09, 5.6252e-07], [ 9.3132e-10, 5.4948e-08, 9.3132e-09, ..., 1.1176e-08, 3.0734e-08, -1.2904e-05], ..., [ 0.0000e+00, -6.7241e-07, 1.3504e-07, ..., 1.8906e-07, -6.1467e-08, 1.0051e-05], [ 4.6566e-09, 5.4017e-08, 1.8347e-07, ..., 2.2352e-07, 2.0489e-08, 1.0673e-06], [ 2.7940e-09, 2.4308e-07, -4.4238e-07, ..., -6.1002e-07, 9.3132e-10, 5.1223e-07]], device='cuda:0') Epoch 244, bias, value: tensor([-0.0250, -0.0239, -0.0409, 0.0034, 0.0053, 0.0362, 0.0223, -0.0168, -0.0012, -0.0112], device='cuda:0'), grad: tensor([ 2.6450e-07, 1.5302e-06, -2.3335e-05, 9.8255e-07, -1.6391e-07, 2.1607e-07, 1.3597e-07, 1.7509e-05, 2.3134e-06, 5.3179e-07], device='cuda:0') 100 0.0001 changing lr epoch 243, time 214.06, cls_loss 0.0016 cls_loss_mapping 0.0017 cls_loss_causal 0.5116 re_mapping 0.0047 re_causal 0.0141 /// teacc 98.97 lr 0.00010000 Epoch 245, weight, value: tensor([[ 0.0216, -0.0904, -0.0659, ..., -0.2098, -0.0859, -0.1649], [-0.0618, -0.0510, -0.0175, ..., 0.0383, 0.0273, -0.1216], [ 0.0309, -0.1387, -0.1772, ..., 0.0165, -0.1540, 0.0780], ..., [-0.0188, -0.0245, -0.1701, ..., -0.1496, 0.0200, 0.1383], [ 0.0737, -0.1265, -0.1109, ..., -0.1536, -0.0964, -0.1186], [-0.2014, 0.0226, 0.1139, ..., 0.0856, -0.0845, -0.1574]], device='cuda:0'), grad: tensor([[ 2.1607e-07, 2.7940e-09, 4.2841e-08, ..., 6.4820e-07, 0.0000e+00, 2.8033e-07], [ 1.0431e-07, 2.6077e-08, 1.1362e-07, ..., 3.5670e-07, 0.0000e+00, 2.0023e-07], [ 2.2445e-07, 6.5193e-09, 8.1956e-08, ..., 6.7893e-07, 0.0000e+00, 1.2051e-06], ..., [ 4.9453e-07, 1.4901e-07, 8.0746e-07, ..., 1.9949e-06, 0.0000e+00, -3.0827e-07], [ 3.1665e-07, 1.3039e-08, 5.6811e-08, ..., 8.7079e-07, 0.0000e+00, 4.0606e-07], [ 3.1386e-07, 1.0617e-07, 1.8924e-05, ..., 1.6600e-05, 0.0000e+00, 5.3644e-07]], device='cuda:0') Epoch 245, bias, value: tensor([-0.0253, -0.0241, -0.0406, 0.0032, 0.0054, 0.0361, 0.0229, -0.0164, -0.0018, -0.0118], device='cuda:0'), grad: tensor([ 1.4650e-06, 9.4995e-07, 2.7418e-06, 6.7115e-05, -3.6657e-05, -7.8440e-05, 1.3532e-06, 3.4459e-06, 2.0713e-06, 3.5912e-05], device='cuda:0') 100 0.0001 changing lr epoch 244, time 214.22, cls_loss 0.0011 cls_loss_mapping 0.0024 cls_loss_causal 0.4967 re_mapping 0.0044 re_causal 0.0138 /// teacc 98.99 lr 0.00010000 Epoch 246, weight, value: tensor([[ 0.0216, -0.0904, -0.0664, ..., -0.2103, -0.0861, -0.1651], [-0.0621, -0.0514, -0.0181, ..., 0.0382, 0.0273, -0.1219], [ 0.0308, -0.1390, -0.1776, ..., 0.0165, -0.1540, 0.0778], ..., [-0.0190, -0.0242, -0.1703, ..., -0.1494, 0.0200, 0.1392], [ 0.0735, -0.1268, -0.1111, ..., -0.1541, -0.0965, -0.1196], [-0.2018, 0.0231, 0.1142, ..., 0.0860, -0.0845, -0.1577]], device='cuda:0'), grad: tensor([[-6.3330e-08, 1.8626e-09, 8.2888e-08, ..., 8.0094e-08, 0.0000e+00, 2.7940e-09], [ 2.7940e-09, 1.7695e-08, -1.0235e-06, ..., -9.6578e-07, 0.0000e+00, 1.9558e-08], [ 9.3132e-10, 1.0245e-08, 1.7695e-08, ..., 1.8626e-08, 0.0000e+00, -9.3132e-10], ..., [ 9.3132e-10, 2.6077e-08, 2.0768e-07, ..., 2.4028e-07, 0.0000e+00, 3.0734e-08], [-6.5193e-09, 5.5879e-09, 4.8336e-07, ..., 4.8988e-07, 0.0000e+00, 1.3970e-08], [ 1.1176e-08, 5.8208e-07, 3.8743e-06, ..., 3.4459e-06, 0.0000e+00, 1.5832e-08]], device='cuda:0') Epoch 246, bias, value: tensor([-0.0253, -0.0242, -0.0407, 0.0032, 0.0052, 0.0361, 0.0231, -0.0160, -0.0023, -0.0116], device='cuda:0'), grad: tensor([ 4.4703e-08, -2.6934e-06, 4.2841e-08, -3.5297e-07, -6.4597e-06, 2.7753e-07, 6.6403e-07, 6.0722e-07, 1.2713e-06, 6.6049e-06], device='cuda:0') 100 0.0001 changing lr epoch 245, time 214.15, cls_loss 0.0010 cls_loss_mapping 0.0019 cls_loss_causal 0.5008 re_mapping 0.0044 re_causal 0.0142 /// teacc 99.00 lr 0.00010000 Epoch 247, weight, value: tensor([[ 0.0217, -0.0905, -0.0665, ..., -0.2085, -0.0862, -0.1653], [-0.0638, -0.0514, -0.0183, ..., 0.0381, 0.0273, -0.1220], [ 0.0316, -0.1395, -0.1779, ..., 0.0165, -0.1541, 0.0780], ..., [-0.0211, -0.0244, -0.1705, ..., -0.1497, 0.0201, 0.1394], [ 0.0736, -0.1270, -0.1111, ..., -0.1545, -0.0965, -0.1210], [-0.2023, 0.0233, 0.1146, ..., 0.0864, -0.0852, -0.1581]], device='cuda:0'), grad: tensor([[ 1.6764e-08, 0.0000e+00, 1.3458e-07, ..., 1.2945e-07, 8.8476e-09, 9.3132e-09], [ 7.0594e-07, 6.9849e-09, -3.1525e-07, ..., -3.9162e-07, -5.1688e-08, 3.3062e-07], [ 1.4063e-07, 3.7253e-09, 6.5193e-08, ..., 9.4995e-08, 6.9849e-09, -8.7544e-08], ..., [ 3.8650e-08, -3.3528e-08, 2.6915e-07, ..., 2.6776e-07, 9.3132e-09, -7.4646e-07], [-1.2163e-06, 3.7253e-09, 1.5972e-07, ..., 1.0710e-07, 1.7229e-08, 1.0850e-07], [ 2.0489e-08, 2.2817e-08, -5.1362e-07, ..., -4.4983e-07, -1.0245e-08, 3.1618e-07]], device='cuda:0') Epoch 247, bias, value: tensor([-0.0251, -0.0243, -0.0404, 0.0030, 0.0049, 0.0363, 0.0230, -0.0161, -0.0029, -0.0114], device='cuda:0'), grad: tensor([ 3.7020e-07, 1.6056e-06, 3.0873e-07, 1.2899e-07, 4.6007e-07, 8.0373e-07, 9.2667e-08, -1.5404e-06, -2.2016e-06, -2.9802e-08], device='cuda:0') 100 0.0001 changing lr epoch 246, time 214.18, cls_loss 0.0012 cls_loss_mapping 0.0019 cls_loss_causal 0.5058 re_mapping 0.0041 re_causal 0.0134 /// teacc 98.99 lr 0.00010000 Epoch 248, weight, value: tensor([[ 0.0216, -0.0906, -0.0680, ..., -0.2080, -0.0868, -0.1654], [-0.0649, -0.0517, -0.0183, ..., 0.0381, 0.0273, -0.1223], [ 0.0314, -0.1402, -0.1785, ..., 0.0165, -0.1543, 0.0781], ..., [-0.0214, -0.0243, -0.1705, ..., -0.1497, 0.0194, 0.1401], [ 0.0737, -0.1275, -0.1116, ..., -0.1550, -0.0971, -0.1224], [-0.2028, 0.0236, 0.1153, ..., 0.0870, -0.0855, -0.1584]], device='cuda:0'), grad: tensor([[ 1.8254e-06, 0.0000e+00, 1.3253e-06, ..., 3.2596e-09, 0.0000e+00, 4.6566e-09], [ 1.8161e-08, 2.7940e-09, 5.1688e-08, ..., -2.4214e-08, -9.3132e-10, 7.5903e-08], [ 2.1420e-08, 4.6566e-10, 4.0047e-08, ..., 3.2596e-09, 4.6566e-10, -1.1222e-07], ..., [ 3.7253e-09, 2.3283e-09, 7.4040e-08, ..., 4.2375e-08, 4.6566e-10, 2.2817e-08], [-2.3860e-06, 1.3970e-09, -3.1367e-06, ..., 5.0757e-08, 0.0000e+00, -4.6566e-08], [ 2.7101e-07, -2.7940e-09, 1.3700e-06, ..., 3.2131e-08, 0.0000e+00, 4.3772e-08]], device='cuda:0') Epoch 248, bias, value: tensor([-0.0252, -0.0245, -0.0404, 0.0031, 0.0042, 0.0362, 0.0235, -0.0158, -0.0035, -0.0109], device='cuda:0'), grad: tensor([ 1.0513e-05, 3.3341e-07, -2.9337e-08, 1.8254e-07, 2.8731e-07, 3.5856e-07, 9.6485e-07, 2.3050e-07, -1.8075e-05, 5.2154e-06], device='cuda:0') 100 0.0001 changing lr epoch 247, time 213.88, cls_loss 0.0013 cls_loss_mapping 0.0022 cls_loss_causal 0.5106 re_mapping 0.0043 re_causal 0.0133 /// teacc 99.12 lr 0.00010000 Epoch 249, weight, value: tensor([[ 0.0214, -0.0908, -0.0657, ..., -0.2088, -0.0899, -0.1656], [-0.0655, -0.0518, -0.0187, ..., 0.0381, 0.0270, -0.1225], [ 0.0310, -0.1407, -0.1796, ..., 0.0165, -0.1538, 0.0781], ..., [-0.0218, -0.0243, -0.1707, ..., -0.1502, 0.0196, 0.1402], [ 0.0744, -0.1279, -0.1118, ..., -0.1556, -0.0972, -0.1224], [-0.2039, 0.0233, 0.1150, ..., 0.0868, -0.0859, -0.1588]], device='cuda:0'), grad: tensor([[ 1.4435e-08, 2.0489e-08, 1.3737e-07, ..., 8.0559e-08, 3.7253e-09, 1.8626e-09], [ 2.3283e-09, 1.1977e-06, 5.1968e-06, ..., 3.9786e-06, -9.3132e-10, 2.1420e-08], [ 7.9162e-09, 3.3993e-08, 1.3411e-07, ..., 9.2201e-08, 4.6566e-10, 2.1420e-08], ..., [ 4.6566e-10, 4.7497e-08, 3.1944e-07, ..., 2.3982e-07, -9.3132e-10, -3.1199e-08], [ 5.1223e-09, 8.8010e-08, 1.0030e-06, ..., 3.4180e-07, 2.3283e-09, 1.5367e-08], [ 1.8626e-09, -2.0489e-08, 2.5425e-07, ..., 5.7975e-07, -9.3132e-10, 8.8476e-09]], device='cuda:0') Epoch 249, bias, value: tensor([-0.0248, -0.0246, -0.0404, 0.0031, 0.0044, 0.0363, 0.0237, -0.0159, -0.0027, -0.0115], device='cuda:0'), grad: tensor([ 3.2876e-07, 1.4298e-05, 4.0606e-07, -3.6322e-08, -2.2903e-05, 9.3132e-08, 4.6231e-06, 7.3621e-07, 1.8738e-06, 5.8627e-07], device='cuda:0') 100 0.0001 changing lr epoch 248, time 214.26, cls_loss 0.0013 cls_loss_mapping 0.0021 cls_loss_causal 0.5035 re_mapping 0.0043 re_causal 0.0131 /// teacc 99.07 lr 0.00010000 Epoch 250, weight, value: tensor([[ 0.0215, -0.0929, -0.0660, ..., -0.2116, -0.0899, -0.1671], [-0.0660, -0.0522, -0.0191, ..., 0.0382, 0.0269, -0.1227], [ 0.0303, -0.1419, -0.1805, ..., 0.0165, -0.1540, 0.0780], ..., [-0.0221, -0.0244, -0.1712, ..., -0.1510, 0.0197, 0.1404], [ 0.0752, -0.1285, -0.1117, ..., -0.1565, -0.0971, -0.1232], [-0.2046, 0.0234, 0.1146, ..., 0.0865, -0.0854, -0.1590]], device='cuda:0'), grad: tensor([[-6.1002e-08, 0.0000e+00, 1.6298e-08, ..., 1.8626e-09, 0.0000e+00, 1.7229e-08], [ 3.5390e-08, 1.8626e-09, 5.0291e-08, ..., -1.4901e-08, 0.0000e+00, 9.9186e-08], [ 3.7719e-08, 4.6566e-10, 7.4506e-09, ..., 4.6566e-10, 0.0000e+00, -1.0421e-06], ..., [ 8.3819e-09, 6.9849e-09, 5.5879e-08, ..., 1.3039e-08, 0.0000e+00, 3.6322e-08], [-3.5390e-08, 9.3132e-10, 3.6601e-07, ..., 6.5193e-09, 0.0000e+00, 8.3912e-07], [ 1.5832e-08, 9.3132e-10, 9.6392e-08, ..., 2.1886e-08, 0.0000e+00, 1.2107e-08]], device='cuda:0') Epoch 250, bias, value: tensor([-0.0252, -0.0247, -0.0405, 0.0036, 0.0049, 0.0371, 0.0233, -0.0161, -0.0026, -0.0119], device='cuda:0'), grad: tensor([-1.2293e-07, 5.1362e-07, -1.8105e-06, 1.3923e-07, -1.2992e-06, 3.0315e-07, -6.4867e-07, 3.6554e-07, 2.1849e-06, 3.8510e-07], device='cuda:0') 100 0.0001 changing lr epoch 249, time 214.12, cls_loss 0.0012 cls_loss_mapping 0.0025 cls_loss_causal 0.5059 re_mapping 0.0043 re_causal 0.0133 /// teacc 99.04 lr 0.00010000 Epoch 251, weight, value: tensor([[ 0.0215, -0.0938, -0.0653, ..., -0.2089, -0.0899, -0.1673], [-0.0663, -0.0526, -0.0196, ..., 0.0381, 0.0269, -0.1229], [ 0.0301, -0.1421, -0.1810, ..., 0.0165, -0.1537, 0.0785], ..., [-0.0225, -0.0250, -0.1724, ..., -0.1520, 0.0198, 0.1404], [ 0.0752, -0.1287, -0.1121, ..., -0.1572, -0.0973, -0.1238], [-0.2050, 0.0246, 0.1149, ..., 0.0867, -0.0855, -0.1592]], device='cuda:0'), grad: tensor([[-6.8918e-08, 3.2596e-09, 3.7253e-08, ..., 3.5390e-08, 1.3970e-09, 2.0070e-07], [ 4.6100e-08, 7.2177e-08, -2.3082e-05, ..., -7.1704e-05, 1.2107e-08, 4.6380e-07], [-2.0489e-07, 6.0536e-09, 1.0245e-08, ..., -1.4063e-07, 4.1910e-09, -1.5805e-06], ..., [ 6.9849e-09, -1.1129e-07, 2.1532e-05, ..., 6.6817e-05, 1.8626e-09, -6.4261e-07], [ 1.8813e-07, 1.0710e-08, 4.9826e-08, ..., 3.3295e-07, 6.0536e-09, 1.0235e-06], [ 7.5903e-08, 1.6298e-08, 1.3392e-06, ..., 4.3213e-06, 3.7253e-09, 5.6671e-07]], device='cuda:0') Epoch 251, bias, value: tensor([-0.0247, -0.0249, -0.0404, 0.0032, 0.0049, 0.0373, 0.0235, -0.0166, -0.0028, -0.0116], device='cuda:0'), grad: tensor([ 7.1852e-07, -1.8251e-04, -7.9796e-06, -2.3330e-07, 1.0980e-06, -4.7963e-07, 4.2049e-07, 1.6963e-04, 5.2042e-06, 1.3836e-05], device='cuda:0') 100 0.0001 changing lr epoch 250, time 213.97, cls_loss 0.0011 cls_loss_mapping 0.0019 cls_loss_causal 0.4848 re_mapping 0.0044 re_causal 0.0133 /// teacc 99.02 lr 0.00010000 Epoch 252, weight, value: tensor([[ 0.0216, -0.0940, -0.0656, ..., -0.2093, -0.0901, -0.1675], [-0.0666, -0.0526, -0.0192, ..., 0.0383, 0.0271, -0.1230], [ 0.0299, -0.1426, -0.1816, ..., 0.0165, -0.1538, 0.0781], ..., [-0.0227, -0.0250, -0.1731, ..., -0.1534, 0.0197, 0.1409], [ 0.0752, -0.1295, -0.1125, ..., -0.1580, -0.0971, -0.1248], [-0.2052, 0.0250, 0.1132, ..., 0.0855, -0.0859, -0.1594]], device='cuda:0'), grad: tensor([[ 1.3504e-08, 3.4459e-08, 2.7008e-08, ..., 2.3283e-08, 2.7940e-09, 6.7055e-08], [ 2.7008e-08, 2.9337e-07, -4.6566e-10, ..., 2.5099e-07, -6.5193e-08, 7.7952e-07], [ 1.3970e-09, 5.7276e-08, 4.6566e-09, ..., 9.3132e-09, 9.3132e-10, 7.1712e-08], ..., [ 2.7940e-09, -1.2619e-07, 1.2340e-07, ..., -2.7334e-07, 5.2620e-08, -6.6217e-07], [ 1.3970e-09, 1.5227e-07, 2.8871e-08, ..., 2.4354e-07, 9.3132e-09, 2.6543e-07], [ 2.3749e-08, 1.4901e-07, -4.5355e-07, ..., -3.8743e-07, 9.3132e-10, 4.9500e-07]], device='cuda:0') Epoch 252, bias, value: tensor([-0.0247, -0.0246, -0.0405, 0.0034, 0.0068, 0.0373, 0.0234, -0.0170, -0.0033, -0.0132], device='cuda:0'), grad: tensor([ 2.8079e-07, 2.5500e-06, 2.5937e-07, -4.7162e-06, 4.7125e-07, 2.2408e-06, 6.9384e-08, -2.2110e-06, 1.5041e-07, 9.0757e-07], device='cuda:0') 100 0.0001 changing lr epoch 251, time 214.27, cls_loss 0.0013 cls_loss_mapping 0.0017 cls_loss_causal 0.4801 re_mapping 0.0044 re_causal 0.0129 /// teacc 99.03 lr 0.00010000 Epoch 253, weight, value: tensor([[ 0.0219, -0.0938, -0.0655, ..., -0.2096, -0.0903, -0.1677], [-0.0672, -0.0529, -0.0202, ..., 0.0381, 0.0270, -0.1232], [ 0.0297, -0.1433, -0.1822, ..., 0.0165, -0.1541, 0.0780], ..., [-0.0229, -0.0250, -0.1737, ..., -0.1540, 0.0198, 0.1414], [ 0.0752, -0.1302, -0.1113, ..., -0.1577, -0.0972, -0.1254], [-0.2057, 0.0251, 0.1132, ..., 0.0860, -0.0852, -0.1598]], device='cuda:0'), grad: tensor([[-3.7253e-09, 2.7940e-09, 2.8871e-08, ..., 2.7008e-08, 3.7253e-09, 1.5646e-07], [ 1.8626e-09, 2.0489e-08, 7.7300e-08, ..., 4.1910e-08, -1.8626e-09, 9.9652e-08], [ 2.7940e-09, 6.5193e-09, 9.3132e-09, ..., 8.3819e-09, -2.9802e-08, -1.1837e-06], ..., [ 1.8626e-09, -1.3039e-08, 5.9605e-08, ..., 5.7742e-08, 3.7253e-09, -1.8720e-07], [-2.6077e-08, 9.3132e-09, 6.7987e-08, ..., 7.3574e-08, 9.3132e-10, 5.3085e-08], [ 1.1176e-08, 1.5832e-08, 1.2107e-07, ..., 6.7055e-08, 0.0000e+00, 2.9802e-08]], device='cuda:0') Epoch 253, bias, value: tensor([-0.0243, -0.0250, -0.0405, 0.0033, 0.0071, 0.0368, 0.0233, -0.0170, -0.0025, -0.0127], device='cuda:0'), grad: tensor([ 3.8091e-07, 3.4366e-07, -2.2687e-06, 1.5078e-06, -4.2282e-07, -2.4214e-08, 2.8592e-07, -2.0210e-07, -2.4214e-08, 4.2282e-07], device='cuda:0') 100 0.0001 changing lr epoch 252, time 214.30, cls_loss 0.0013 cls_loss_mapping 0.0020 cls_loss_causal 0.4771 re_mapping 0.0041 re_causal 0.0127 /// teacc 99.07 lr 0.00010000 Epoch 254, weight, value: tensor([[ 0.0221, -0.0938, -0.0656, ..., -0.2098, -0.0903, -0.1683], [-0.0677, -0.0531, -0.0205, ..., 0.0380, 0.0269, -0.1233], [ 0.0296, -0.1436, -0.1827, ..., 0.0165, -0.1541, 0.0800], ..., [-0.0232, -0.0253, -0.1743, ..., -0.1547, 0.0198, 0.1404], [ 0.0751, -0.1304, -0.1117, ..., -0.1582, -0.0973, -0.1261], [-0.2064, 0.0254, 0.1134, ..., 0.0862, -0.0852, -0.1598]], device='cuda:0'), grad: tensor([[ 2.6077e-07, 2.7940e-09, 1.1278e-06, ..., 4.4331e-07, 6.8452e-07, 2.1420e-08], [ 1.6764e-08, 1.0245e-08, -1.5153e-06, ..., -1.5423e-06, 3.0734e-08, 1.0524e-07], [ 4.3772e-08, 2.7940e-09, 1.1269e-07, ..., 2.5146e-08, 8.9407e-08, -5.6811e-08], ..., [ 3.7253e-09, 5.5879e-09, 2.3842e-07, ..., 1.4529e-07, 5.5879e-09, -1.2759e-07], [-5.0291e-08, 8.3819e-09, 6.2026e-07, ..., 5.9139e-07, 1.3970e-08, 5.6811e-08], [ 6.5193e-09, -1.3039e-08, 1.4901e-08, ..., -3.7253e-08, 7.4506e-09, 1.8161e-07]], device='cuda:0') Epoch 254, bias, value: tensor([-0.0241, -0.0243, -0.0410, 0.0029, 0.0072, 0.0368, 0.0234, -0.0177, -0.0028, -0.0125], device='cuda:0'), grad: tensor([ 3.9414e-06, -4.3474e-06, 3.2410e-07, 2.8685e-07, 1.3843e-05, 8.4471e-07, -1.7256e-05, 3.0268e-07, 1.6196e-06, 3.8836e-07], device='cuda:0') 100 0.0001 changing lr epoch 253, time 214.50, cls_loss 0.0011 cls_loss_mapping 0.0022 cls_loss_causal 0.4937 re_mapping 0.0042 re_causal 0.0133 /// teacc 99.03 lr 0.00010000 Epoch 255, weight, value: tensor([[ 0.0220, -0.0956, -0.0662, ..., -0.2099, -0.0907, -0.1688], [-0.0680, -0.0528, -0.0197, ..., 0.0384, 0.0269, -0.1235], [ 0.0296, -0.1433, -0.1830, ..., 0.0165, -0.1540, 0.0805], ..., [-0.0233, -0.0260, -0.1757, ..., -0.1564, 0.0202, 0.1404], [ 0.0751, -0.1308, -0.1120, ..., -0.1587, -0.0974, -0.1266], [-0.2072, 0.0262, 0.1138, ..., 0.0866, -0.0865, -0.1600]], device='cuda:0'), grad: tensor([[-4.6566e-09, -9.3132e-10, 6.5193e-09, ..., 7.4506e-09, 0.0000e+00, 9.3132e-10], [ 0.0000e+00, 3.7253e-09, -1.7695e-08, ..., -4.0047e-08, 0.0000e+00, 2.2352e-08], [ 0.0000e+00, 9.3132e-10, 1.8626e-09, ..., 2.7940e-09, 0.0000e+00, 4.6566e-09], ..., [ 0.0000e+00, -1.8626e-09, 2.5146e-08, ..., 3.6322e-08, 0.0000e+00, -5.5879e-08], [ 4.6566e-09, 1.8626e-09, 6.5193e-08, ..., 7.8231e-08, 0.0000e+00, 4.6566e-09], [ 4.6566e-09, -8.3819e-09, -1.4435e-07, ..., -1.1083e-07, 0.0000e+00, 1.9558e-08]], device='cuda:0') Epoch 255, bias, value: tensor([-0.0244, -0.0240, -0.0409, 0.0026, 0.0070, 0.0370, 0.0235, -0.0182, -0.0031, -0.0122], device='cuda:0'), grad: tensor([-1.0245e-08, -3.7253e-08, 1.9558e-08, 6.3330e-08, 1.0896e-07, -7.9162e-08, 1.6764e-08, -6.6124e-08, 1.7323e-07, -1.8720e-07], device='cuda:0') 100 0.0001 changing lr epoch 254, time 214.09, cls_loss 0.0011 cls_loss_mapping 0.0020 cls_loss_causal 0.5008 re_mapping 0.0044 re_causal 0.0134 /// teacc 99.09 lr 0.00010000 Epoch 256, weight, value: tensor([[ 0.0219, -0.0960, -0.0664, ..., -0.2106, -0.0909, -0.1694], [-0.0684, -0.0527, -0.0202, ..., 0.0384, 0.0267, -0.1236], [ 0.0294, -0.1439, -0.1834, ..., 0.0165, -0.1542, 0.0804], ..., [-0.0227, -0.0261, -0.1759, ..., -0.1568, 0.0207, 0.1409], [ 0.0752, -0.1311, -0.1110, ..., -0.1591, -0.0977, -0.1273], [-0.2079, 0.0261, 0.1139, ..., 0.0866, -0.0873, -0.1608]], device='cuda:0'), grad: tensor([[-9.3132e-10, 1.7695e-08, 2.4214e-08, ..., 7.8231e-08, 0.0000e+00, 2.7940e-09], [ 3.7253e-09, 1.1176e-08, -4.0047e-08, ..., -4.3772e-08, 0.0000e+00, 3.5390e-08], [ 3.7253e-09, 4.6566e-09, 7.4506e-09, ..., 1.7695e-08, 0.0000e+00, 1.4901e-08], ..., [ 1.2107e-08, 2.4214e-08, 5.9605e-08, ..., 1.8626e-07, 0.0000e+00, -9.4995e-08], [ 8.3819e-09, 9.3132e-09, 2.9802e-08, ..., 1.0058e-07, 0.0000e+00, 1.3970e-08], [ 2.4866e-07, -2.0396e-07, 4.2561e-07, ..., 1.6410e-06, 0.0000e+00, 2.2352e-08]], device='cuda:0') Epoch 256, bias, value: tensor([-0.0246, -0.0240, -0.0410, 0.0028, 0.0071, 0.0370, 0.0236, -0.0181, -0.0026, -0.0124], device='cuda:0'), grad: tensor([ 1.1642e-07, -4.5635e-08, 7.9162e-08, 2.6226e-06, -8.5495e-07, -5.5954e-06, 5.3272e-07, 1.9278e-07, 2.0396e-07, 2.7325e-06], device='cuda:0') 100 0.0001 changing lr epoch 255, time 214.08, cls_loss 0.0013 cls_loss_mapping 0.0026 cls_loss_causal 0.4913 re_mapping 0.0044 re_causal 0.0128 /// teacc 99.03 lr 0.00010000 Epoch 257, weight, value: tensor([[ 0.0220, -0.0960, -0.0666, ..., -0.2115, -0.0909, -0.1698], [-0.0687, -0.0526, -0.0199, ..., 0.0387, 0.0266, -0.1236], [ 0.0293, -0.1449, -0.1840, ..., 0.0164, -0.1542, 0.0806], ..., [-0.0230, -0.0260, -0.1764, ..., -0.1578, 0.0209, 0.1412], [ 0.0752, -0.1314, -0.1111, ..., -0.1597, -0.0978, -0.1279], [-0.2085, 0.0240, 0.1129, ..., 0.0850, -0.0909, -0.1614]], device='cuda:0'), grad: tensor([[-2.2352e-08, -5.8748e-06, 1.1176e-08, ..., 1.8626e-08, 0.0000e+00, 1.3039e-08], [ 2.7940e-09, 1.5926e-07, 1.0151e-07, ..., 2.0675e-07, 0.0000e+00, 1.4994e-07], [ 3.7253e-09, 6.8080e-07, 5.5879e-09, ..., 1.1176e-08, 0.0000e+00, 7.0781e-08], ..., [ 9.3132e-10, 1.5069e-06, 9.7416e-07, ..., 2.1346e-06, 0.0000e+00, 8.3540e-07], [-9.3132e-10, 8.5495e-07, 1.9558e-08, ..., 6.2399e-08, 0.0000e+00, 5.9605e-08], [ 7.4506e-09, -8.0280e-07, -1.2424e-06, ..., -2.5705e-06, 0.0000e+00, 2.4214e-08]], device='cuda:0') Epoch 257, bias, value: tensor([-0.0246, -0.0236, -0.0413, 0.0027, 0.0087, 0.0373, 0.0232, -0.0184, -0.0026, -0.0138], device='cuda:0'), grad: tensor([-3.5316e-05, 7.3202e-07, 4.0568e-06, -9.6764e-07, 1.8135e-05, 4.1164e-07, 5.9456e-06, 5.9083e-06, 5.1409e-06, -4.0717e-06], device='cuda:0') 100 0.0001 changing lr epoch 256, time 214.33, cls_loss 0.0012 cls_loss_mapping 0.0017 cls_loss_causal 0.5119 re_mapping 0.0044 re_causal 0.0135 /// teacc 99.00 lr 0.00010000 Epoch 258, weight, value: tensor([[ 0.0221, -0.0957, -0.0668, ..., -0.2122, -0.0910, -0.1704], [-0.0692, -0.0528, -0.0200, ..., 0.0388, 0.0267, -0.1223], [ 0.0290, -0.1456, -0.1845, ..., 0.0163, -0.1543, 0.0792], ..., [-0.0231, -0.0259, -0.1767, ..., -0.1585, 0.0209, 0.1415], [ 0.0753, -0.1314, -0.1115, ..., -0.1606, -0.0978, -0.1285], [-0.2091, 0.0239, 0.1133, ..., 0.0856, -0.0909, -0.1621]], device='cuda:0'), grad: tensor([[ 2.7940e-09, 5.4017e-08, 3.4645e-07, ..., 2.0023e-07, 9.3132e-09, 2.7940e-09], [ 3.0734e-08, 1.1921e-07, -1.9278e-07, ..., -5.4762e-07, -1.1176e-07, 1.9558e-07], [ 8.9407e-08, 1.7695e-08, 1.3597e-07, ..., 1.1642e-07, 9.3132e-10, 2.7940e-08], ..., [ 5.5879e-09, -3.2224e-07, 2.1700e-07, ..., 2.5611e-07, -1.7695e-08, -5.0291e-07], [-5.5879e-08, 5.8673e-08, 1.0161e-06, ..., 7.8045e-07, 4.6566e-09, 1.6764e-08], [ 2.4214e-08, 3.8184e-08, -5.1737e-05, ..., -3.8207e-05, 5.5879e-09, 1.2107e-07]], device='cuda:0') Epoch 258, bias, value: tensor([-0.0245, -0.0227, -0.0421, 0.0026, 0.0085, 0.0373, 0.0230, -0.0185, -0.0029, -0.0136], device='cuda:0'), grad: tensor([ 3.8091e-07, -1.5348e-06, 6.6031e-07, 6.5472e-07, 8.2970e-05, 1.4529e-07, 8.9407e-08, -3.1665e-07, 1.9297e-06, -8.4996e-05], device='cuda:0') 100 0.0001 changing lr ---------------------saving model at epoch 257---------------------------------------------------- epoch 257, time 230.40, cls_loss 0.0012 cls_loss_mapping 0.0017 cls_loss_causal 0.4764 re_mapping 0.0045 re_causal 0.0132 /// teacc 99.15 lr 0.00010000 Epoch 259, weight, value: tensor([[ 0.0220, -0.0972, -0.0672, ..., -0.2144, -0.0910, -0.1706], [-0.0694, -0.0527, -0.0202, ..., 0.0388, 0.0266, -0.1222], [ 0.0289, -0.1466, -0.1856, ..., 0.0163, -0.1544, 0.0788], ..., [-0.0232, -0.0260, -0.1769, ..., -0.1589, 0.0210, 0.1418], [ 0.0753, -0.1316, -0.1130, ..., -0.1622, -0.0985, -0.1293], [-0.2089, 0.0238, 0.1165, ..., 0.0888, -0.0901, -0.1626]], device='cuda:0'), grad: tensor([[-2.2352e-08, 5.5879e-09, 4.6566e-09, ..., 2.7940e-09, 9.3132e-10, 1.4901e-08], [ 3.7253e-09, 3.3528e-08, -5.5879e-08, ..., -8.2888e-08, 9.3132e-10, 7.6368e-08], [ 2.7940e-09, 3.4459e-08, 7.4506e-09, ..., 9.3132e-09, 9.3132e-10, 7.2643e-08], ..., [ 0.0000e+00, 3.6322e-08, 3.8184e-08, ..., 5.2154e-08, 3.7253e-09, 8.4750e-08], [ 8.3819e-09, 1.0151e-07, 8.3819e-09, ..., 1.3970e-08, 1.8626e-09, 2.0117e-07], [ 2.7940e-09, 3.7253e-09, -1.2107e-08, ..., -1.4901e-08, 1.8626e-09, 4.1910e-08]], device='cuda:0') Epoch 259, bias, value: tensor([-0.0247, -0.0227, -0.0423, 0.0029, 0.0055, 0.0373, 0.0229, -0.0184, -0.0037, -0.0105], device='cuda:0'), grad: tensor([-1.3970e-08, -7.2643e-08, 2.1793e-07, -1.1148e-06, 2.5146e-08, -4.5635e-08, 1.8626e-08, 3.2224e-07, 5.7183e-07, 8.5682e-08], device='cuda:0') 100 0.0001 changing lr epoch 258, time 214.49, cls_loss 0.0013 cls_loss_mapping 0.0022 cls_loss_causal 0.5049 re_mapping 0.0043 re_causal 0.0131 /// teacc 99.02 lr 0.00010000 Epoch 260, weight, value: tensor([[ 0.0224, -0.0972, -0.0684, ..., -0.2141, -0.0910, -0.1710], [-0.0704, -0.0525, -0.0201, ..., 0.0389, 0.0266, -0.1223], [ 0.0288, -0.1475, -0.1862, ..., 0.0164, -0.1545, 0.0791], ..., [-0.0235, -0.0267, -0.1772, ..., -0.1595, 0.0209, 0.1418], [ 0.0725, -0.1319, -0.1132, ..., -0.1657, -0.0986, -0.1308], [-0.2106, 0.0237, 0.1166, ..., 0.0888, -0.0902, -0.1630]], device='cuda:0'), grad: tensor([[-3.4459e-08, 2.7940e-09, 1.1269e-07, ..., 6.0536e-08, 0.0000e+00, 1.3039e-08], [ 5.5879e-09, 4.2841e-08, 1.0245e-08, ..., 2.1420e-08, 0.0000e+00, 1.1735e-07], [ 1.8626e-09, 2.6077e-08, 7.4506e-09, ..., 6.5193e-09, 0.0000e+00, 1.6671e-07], ..., [ 1.8626e-09, 4.0047e-08, 2.2352e-08, ..., 2.3283e-08, 0.0000e+00, 9.2201e-08], [-8.3819e-09, 3.5390e-08, 1.1176e-08, ..., 1.6764e-08, -0.0000e+00, 8.1025e-08], [ 1.8626e-08, 5.5879e-09, 4.1164e-07, ..., 2.3004e-07, 0.0000e+00, 1.1176e-08]], device='cuda:0') Epoch 260, bias, value: tensor([-0.0248, -0.0224, -0.0425, 0.0027, 0.0056, 0.0391, 0.0225, -0.0186, -0.0065, -0.0104], device='cuda:0'), grad: tensor([ 1.3411e-07, 3.8650e-07, 6.7707e-07, -6.0163e-06, -9.2573e-07, 4.3213e-06, 9.9652e-08, 3.1106e-07, 2.1234e-07, 8.1304e-07], device='cuda:0') 100 0.0001 changing lr epoch 259, time 214.08, cls_loss 0.0014 cls_loss_mapping 0.0023 cls_loss_causal 0.4799 re_mapping 0.0046 re_causal 0.0130 /// teacc 99.05 lr 0.00010000 Epoch 261, weight, value: tensor([[ 0.0228, -0.0972, -0.0687, ..., -0.2134, -0.0911, -0.1715], [-0.0723, -0.0527, -0.0195, ..., 0.0392, 0.0265, -0.1226], [ 0.0286, -0.1478, -0.1868, ..., 0.0163, -0.1547, 0.0788], ..., [-0.0238, -0.0270, -0.1773, ..., -0.1599, 0.0232, 0.1434], [ 0.0714, -0.1334, -0.1147, ..., -0.1666, -0.0988, -0.1334], [-0.2114, 0.0224, 0.1165, ..., 0.0885, -0.0932, -0.1666]], device='cuda:0'), grad: tensor([[ 6.3330e-08, 9.3132e-09, 3.9116e-08, ..., 1.0245e-08, 0.0000e+00, 1.5832e-08], [ 7.4506e-09, 3.3528e-08, -2.4214e-08, ..., -2.3283e-08, 0.0000e+00, 6.1467e-08], [ 9.3132e-09, 6.1467e-08, 1.3039e-08, ..., -8.3819e-09, 0.0000e+00, 8.5682e-08], ..., [ 9.3132e-10, 4.1910e-08, 1.1083e-07, ..., 1.2666e-07, 0.0000e+00, 4.3772e-08], [ 6.3330e-08, 1.1362e-07, 3.4459e-08, ..., 7.7300e-08, 0.0000e+00, 2.3283e-07], [ 7.4506e-09, -7.3574e-08, -4.6566e-07, ..., -4.5449e-07, 0.0000e+00, 1.3970e-08]], device='cuda:0') Epoch 261, bias, value: tensor([-0.0244, -0.0223, -0.0425, 0.0066, 0.0056, 0.0365, 0.0233, -0.0177, -0.0084, -0.0113], device='cuda:0'), grad: tensor([ 2.1886e-07, 1.5832e-08, 1.9651e-07, -8.2143e-07, 4.4424e-07, 3.3341e-07, -5.6066e-07, 3.5577e-07, 6.0163e-07, -8.0932e-07], device='cuda:0') 100 0.0001 changing lr epoch 260, time 214.04, cls_loss 0.0013 cls_loss_mapping 0.0021 cls_loss_causal 0.5038 re_mapping 0.0045 re_causal 0.0138 /// teacc 99.07 lr 0.00010000 Epoch 262, weight, value: tensor([[ 0.0231, -0.0963, -0.0690, ..., -0.2134, -0.0910, -0.1717], [-0.0767, -0.0519, -0.0192, ..., 0.0394, 0.0266, -0.1216], [ 0.0282, -0.1480, -0.1882, ..., 0.0164, -0.1547, 0.0778], ..., [-0.0249, -0.0279, -0.1776, ..., -0.1607, 0.0231, 0.1433], [ 0.0709, -0.1338, -0.1149, ..., -0.1670, -0.0988, -0.1336], [-0.2124, 0.0223, 0.1164, ..., 0.0885, -0.0932, -0.1668]], device='cuda:0'), grad: tensor([[ 2.2445e-07, 0.0000e+00, 1.8347e-07, ..., 1.0245e-08, 0.0000e+00, 3.7253e-09], [ 3.3900e-07, 8.3819e-09, -5.3085e-08, ..., -2.3469e-07, -6.5193e-09, 9.8869e-06], [ 1.2107e-07, 7.4506e-09, 1.2759e-07, ..., 4.5635e-08, 0.0000e+00, -9.9167e-06], ..., [ 2.7940e-08, -2.0489e-08, 1.1548e-07, ..., 1.0431e-07, 1.8626e-09, -5.4017e-08], [ 1.5264e-06, 1.8626e-09, 8.6520e-07, ..., 3.4459e-08, 9.3132e-10, 1.3970e-08], [ 3.0734e-08, 9.3132e-10, 5.5879e-08, ..., 4.1910e-08, 0.0000e+00, 6.5193e-09]], device='cuda:0') Epoch 262, bias, value: tensor([-0.0240, -0.0211, -0.0436, 0.0066, 0.0057, 0.0364, 0.0240, -0.0184, -0.0085, -0.0115], device='cuda:0'), grad: tensor([ 1.1604e-06, 2.4781e-05, -2.3589e-05, 8.7731e-07, -5.6848e-06, 6.0797e-06, -1.2264e-05, 6.3051e-07, 7.6964e-06, 2.8498e-07], device='cuda:0') 100 0.0001 changing lr epoch 261, time 214.37, cls_loss 0.0011 cls_loss_mapping 0.0015 cls_loss_causal 0.4700 re_mapping 0.0045 re_causal 0.0125 /// teacc 99.12 lr 0.00010000 Epoch 263, weight, value: tensor([[ 0.0232, -0.0969, -0.0693, ..., -0.2138, -0.0910, -0.1724], [-0.0771, -0.0520, -0.0193, ..., 0.0394, 0.0266, -0.1222], [ 0.0280, -0.1488, -0.1894, ..., 0.0163, -0.1547, 0.0778], ..., [-0.0255, -0.0277, -0.1775, ..., -0.1601, 0.0231, 0.1448], [ 0.0706, -0.1340, -0.1160, ..., -0.1674, -0.0991, -0.1338], [-0.2130, 0.0223, 0.1161, ..., 0.0881, -0.0932, -0.1685]], device='cuda:0'), grad: tensor([[-2.8871e-08, 9.3132e-10, 2.7940e-09, ..., 2.7940e-09, 0.0000e+00, 9.3132e-09], [ 2.7940e-09, 8.3819e-09, -1.9558e-08, ..., -2.7008e-08, 4.6566e-09, 2.0489e-07], [ 9.3132e-10, 1.7695e-08, 1.8626e-09, ..., 2.7940e-09, 3.0734e-08, 1.3346e-06], ..., [ 9.3132e-10, -1.5832e-08, 1.2759e-07, ..., 2.2911e-07, -4.8429e-08, -1.7593e-06], [ 6.5193e-09, 3.7253e-09, 6.5193e-09, ..., 1.0245e-08, 1.8626e-09, 5.1223e-08], [ 8.3819e-09, 1.8626e-09, 1.8720e-07, ..., 3.5390e-07, 1.8626e-09, 5.0291e-08]], device='cuda:0') Epoch 263, bias, value: tensor([-0.0241, -0.0211, -0.0438, 0.0064, 0.0061, 0.0365, 0.0242, -0.0178, -0.0089, -0.0120], device='cuda:0'), grad: tensor([-1.0803e-07, 1.8068e-07, 1.9064e-06, -9.6858e-08, -1.7425e-06, 2.6356e-07, 1.1269e-07, -1.7416e-06, 1.4342e-07, 1.0766e-06], device='cuda:0') 100 0.0001 changing lr epoch 262, time 214.47, cls_loss 0.0010 cls_loss_mapping 0.0020 cls_loss_causal 0.4603 re_mapping 0.0043 re_causal 0.0126 /// teacc 99.08 lr 0.00010000 Epoch 264, weight, value: tensor([[ 0.0236, -0.0954, -0.0692, ..., -0.2137, -0.0910, -0.1728], [-0.0780, -0.0523, -0.0180, ..., 0.0401, 0.0267, -0.1224], [ 0.0278, -0.1514, -0.1897, ..., 0.0164, -0.1548, 0.0780], ..., [-0.0263, -0.0281, -0.1794, ..., -0.1624, 0.0233, 0.1448], [ 0.0711, -0.1343, -0.1158, ..., -0.1675, -0.0994, -0.1342], [-0.2146, 0.0222, 0.1161, ..., 0.0881, -0.0935, -0.1690]], device='cuda:0'), grad: tensor([[-1.6764e-08, 0.0000e+00, 1.7695e-08, ..., 2.7940e-08, 2.6077e-08, 9.3132e-10], [ 1.3039e-08, 1.3970e-08, -1.4817e-06, ..., -2.4289e-06, -2.5202e-06, 4.3772e-08], [ 4.6566e-09, 2.7940e-09, 7.0781e-08, ..., 1.1642e-07, 1.2014e-07, 1.1176e-08], ..., [ 2.7940e-09, -3.3528e-08, 1.4342e-07, ..., 2.3097e-07, 2.1886e-07, -1.1269e-07], [-6.2492e-07, 1.8626e-09, 5.6531e-07, ..., 9.2667e-07, 9.6112e-07, 7.4506e-09], [ 6.5193e-09, 9.3132e-09, 3.5390e-08, ..., 7.0781e-08, 7.2643e-08, 2.6077e-08]], device='cuda:0') Epoch 264, bias, value: tensor([-0.0233, -0.0207, -0.0436, 0.0065, 0.0061, 0.0365, 0.0239, -0.0189, -0.0086, -0.0122], device='cuda:0'), grad: tensor([ 5.7742e-08, -9.8124e-06, 5.2620e-07, 1.7136e-07, 3.8035e-06, 1.5208e-06, 2.9430e-07, 6.3144e-07, 2.3898e-06, 3.8743e-07], device='cuda:0') 100 0.0001 changing lr epoch 263, time 214.46, cls_loss 0.0010 cls_loss_mapping 0.0016 cls_loss_causal 0.4884 re_mapping 0.0043 re_causal 0.0128 /// teacc 99.09 lr 0.00010000 Epoch 265, weight, value: tensor([[ 0.0238, -0.0961, -0.0703, ..., -0.2136, -0.0912, -0.1730], [-0.0801, -0.0526, -0.0172, ..., 0.0405, 0.0268, -0.1230], [ 0.0278, -0.1516, -0.1902, ..., 0.0164, -0.1550, 0.0782], ..., [-0.0247, -0.0279, -0.1802, ..., -0.1634, 0.0234, 0.1458], [ 0.0710, -0.1348, -0.1158, ..., -0.1679, -0.0997, -0.1364], [-0.2160, 0.0222, 0.1160, ..., 0.0880, -0.0936, -0.1694]], device='cuda:0'), grad: tensor([[ 9.3132e-10, 0.0000e+00, 3.7253e-09, ..., 6.5193e-09, 0.0000e+00, 0.0000e+00], [ 1.8626e-09, 4.6566e-09, -2.0489e-08, ..., -8.3819e-08, 1.4901e-08, 3.9116e-08], [ 1.1176e-08, 9.3132e-10, 1.8626e-09, ..., -2.7940e-09, 1.3039e-08, 1.0245e-08], ..., [ 9.3132e-10, -1.8626e-09, 4.1910e-08, ..., 9.3132e-08, -7.2643e-08, -1.3225e-07], [-2.5146e-08, 0.0000e+00, 2.7940e-09, ..., 1.6764e-08, 1.8626e-09, 2.7940e-09], [ 1.8626e-09, -5.5879e-09, -3.4459e-08, ..., -5.3085e-08, 1.8626e-09, 4.6566e-09]], device='cuda:0') Epoch 265, bias, value: tensor([-0.0235, -0.0208, -0.0435, 0.0064, 0.0062, 0.0364, 0.0246, -0.0185, -0.0090, -0.0124], device='cuda:0'), grad: tensor([ 2.7008e-08, -2.7474e-07, 7.3574e-08, 2.4214e-08, 9.0338e-08, 7.6368e-08, 3.2596e-08, 1.0803e-07, -8.9407e-08, -5.8673e-08], device='cuda:0') 100 0.0001 changing lr epoch 264, time 214.03, cls_loss 0.0011 cls_loss_mapping 0.0022 cls_loss_causal 0.4887 re_mapping 0.0041 re_causal 0.0128 /// teacc 99.07 lr 0.00010000 Epoch 266, weight, value: tensor([[ 0.0240, -0.0963, -0.0705, ..., -0.2134, -0.0913, -0.1734], [-0.0831, -0.0526, -0.0168, ..., 0.0408, 0.0270, -0.1235], [ 0.0298, -0.1517, -0.1908, ..., 0.0164, -0.1552, 0.0786], ..., [-0.0250, -0.0280, -0.1810, ..., -0.1646, 0.0235, 0.1460], [ 0.0706, -0.1350, -0.1156, ..., -0.1683, -0.1000, -0.1368], [-0.2167, 0.0222, 0.1151, ..., 0.0873, -0.0937, -0.1695]], device='cuda:0'), grad: tensor([[-2.1998e-06, 0.0000e+00, 1.1176e-08, ..., 1.0245e-08, 0.0000e+00, 2.7940e-09], [ 5.6811e-08, 0.0000e+00, -1.8626e-09, ..., 0.0000e+00, 0.0000e+00, 6.5193e-09], [ 6.1467e-08, 0.0000e+00, 1.8626e-09, ..., 2.7940e-09, 0.0000e+00, -2.7940e-08], ..., [ 1.5832e-08, 0.0000e+00, 1.1176e-08, ..., 1.3970e-08, 0.0000e+00, 1.5832e-08], [ 3.7253e-07, 0.0000e+00, 5.4948e-08, ..., 5.9418e-07, 0.0000e+00, 2.7940e-09], [ 7.3574e-08, 0.0000e+00, 1.0896e-07, ..., 1.3504e-07, 0.0000e+00, 9.3132e-10]], device='cuda:0') Epoch 266, bias, value: tensor([-0.0233, -0.0217, -0.0423, 0.0063, 0.0071, 0.0364, 0.0250, -0.0192, -0.0092, -0.0133], device='cuda:0'), grad: tensor([-5.8264e-06, 1.4622e-07, 1.3225e-07, 2.7288e-07, -3.2689e-07, -3.8669e-06, 7.5363e-06, 9.4064e-08, 1.3439e-06, 4.7963e-07], device='cuda:0') 100 0.0001 changing lr epoch 265, time 213.96, cls_loss 0.0012 cls_loss_mapping 0.0018 cls_loss_causal 0.4754 re_mapping 0.0041 re_causal 0.0125 /// teacc 99.07 lr 0.00010000 Epoch 267, weight, value: tensor([[ 0.0240, -0.0963, -0.0707, ..., -0.2138, -0.0916, -0.1738], [-0.0837, -0.0529, -0.0164, ..., 0.0410, 0.0271, -0.1235], [ 0.0300, -0.1523, -0.1917, ..., 0.0164, -0.1556, 0.0789], ..., [-0.0234, -0.0276, -0.1813, ..., -0.1650, 0.0235, 0.1462], [ 0.0690, -0.1354, -0.1160, ..., -0.1704, -0.1015, -0.1381], [-0.2181, 0.0221, 0.1149, ..., 0.0871, -0.0937, -0.1698]], device='cuda:0'), grad: tensor([[ 1.0245e-08, 0.0000e+00, 1.0245e-08, ..., 6.5193e-09, 0.0000e+00, 2.0489e-08], [ 8.3819e-09, 6.5193e-09, -8.3819e-09, ..., -1.3039e-08, 0.0000e+00, 1.8347e-07], [ 1.3039e-08, 3.7253e-09, 8.3819e-09, ..., 2.7940e-09, 0.0000e+00, -3.0082e-07], ..., [ 1.8626e-09, -9.3132e-09, 2.0489e-08, ..., 2.6077e-08, 0.0000e+00, -7.1712e-08], [ 4.6566e-09, 9.3132e-10, 1.8626e-08, ..., 3.9116e-08, 0.0000e+00, 2.1420e-08], [ 4.6566e-09, -3.7253e-09, 1.2107e-08, ..., 1.7695e-08, 0.0000e+00, 7.4506e-09]], device='cuda:0') Epoch 267, bias, value: tensor([-0.0232, -0.0217, -0.0420, 0.0064, 0.0072, 0.0369, 0.0249, -0.0194, -0.0108, -0.0136], device='cuda:0'), grad: tensor([ 1.1455e-07, 2.8592e-07, -4.3679e-07, 2.0303e-07, 8.3819e-09, -5.0291e-08, -3.0734e-07, 1.3970e-08, 1.0151e-07, 7.5437e-08], device='cuda:0') 100 0.0001 changing lr epoch 266, time 214.37, cls_loss 0.0009 cls_loss_mapping 0.0015 cls_loss_causal 0.4666 re_mapping 0.0043 re_causal 0.0131 /// teacc 98.97 lr 0.00010000 Epoch 268, weight, value: tensor([[ 0.0241, -0.0963, -0.0710, ..., -0.2141, -0.0916, -0.1741], [-0.0844, -0.0530, -0.0161, ..., 0.0412, 0.0271, -0.1237], [ 0.0298, -0.1524, -0.1926, ..., 0.0164, -0.1556, 0.0790], ..., [-0.0231, -0.0276, -0.1816, ..., -0.1653, 0.0236, 0.1463], [ 0.0686, -0.1356, -0.1169, ..., -0.1706, -0.1017, -0.1391], [-0.2187, 0.0221, 0.1145, ..., 0.0866, -0.0938, -0.1706]], device='cuda:0'), grad: tensor([[ 5.0291e-08, 9.3132e-10, 1.2107e-08, ..., 4.6566e-09, 0.0000e+00, 1.7881e-07], [ 3.9116e-08, 2.1420e-08, -2.8871e-08, ..., -3.3528e-08, 0.0000e+00, 4.8894e-07], [ 1.2014e-07, 2.7940e-09, 6.5193e-09, ..., 4.6566e-09, 0.0000e+00, 4.8149e-07], ..., [-7.9442e-07, -2.5146e-08, 1.2107e-08, ..., 1.3039e-08, 0.0000e+00, -2.9001e-06], [ 1.1176e-07, 1.8626e-09, 1.2107e-08, ..., 3.4459e-08, 0.0000e+00, 2.5611e-07], [ 3.2596e-08, 9.3132e-09, 8.3819e-09, ..., 4.6566e-09, 0.0000e+00, 2.1607e-07]], device='cuda:0') Epoch 268, bias, value: tensor([-0.0232, -0.0216, -0.0420, 0.0069, 0.0075, 0.0370, 0.0253, -0.0195, -0.0115, -0.0142], device='cuda:0'), grad: tensor([ 3.7812e-07, 9.2015e-07, 9.5274e-07, 2.3749e-07, 1.0831e-06, 1.8440e-07, 6.5658e-07, -5.4799e-06, 5.4948e-07, 4.8988e-07], device='cuda:0') 100 0.0001 changing lr epoch 267, time 214.26, cls_loss 0.0012 cls_loss_mapping 0.0014 cls_loss_causal 0.4851 re_mapping 0.0040 re_causal 0.0127 /// teacc 98.97 lr 0.00010000 Epoch 269, weight, value: tensor([[ 0.0239, -0.0963, -0.0717, ..., -0.2155, -0.0917, -0.1746], [-0.0857, -0.0531, -0.0162, ..., 0.0412, 0.0271, -0.1239], [ 0.0296, -0.1526, -0.1936, ..., 0.0164, -0.1556, 0.0788], ..., [-0.0234, -0.0276, -0.1817, ..., -0.1654, 0.0236, 0.1469], [ 0.0681, -0.1358, -0.1180, ..., -0.1712, -0.1019, -0.1395], [-0.2192, 0.0220, 0.1128, ..., 0.0854, -0.0938, -0.1709]], device='cuda:0'), grad: tensor([[-2.9802e-08, 0.0000e+00, 5.5879e-09, ..., 1.3039e-08, 0.0000e+00, 2.7008e-08], [ 1.9558e-08, 1.8626e-09, 5.5879e-09, ..., 7.4506e-09, 0.0000e+00, 1.0245e-07], [ 6.5193e-09, 0.0000e+00, 4.6566e-09, ..., 6.5193e-09, 0.0000e+00, -1.9092e-07], ..., [ 9.3132e-09, 1.8626e-09, 2.0489e-08, ..., 2.6077e-08, 0.0000e+00, 2.6077e-08], [-4.6566e-09, 9.3132e-10, 5.5879e-09, ..., 1.0524e-07, 0.0000e+00, 5.2154e-08], [ 8.4750e-08, -1.8626e-09, 2.6636e-07, ..., 9.1176e-07, 0.0000e+00, 4.9360e-08]], device='cuda:0') Epoch 269, bias, value: tensor([-0.0235, -0.0217, -0.0421, 0.0067, 0.0086, 0.0388, 0.0233, -0.0193, -0.0120, -0.0153], device='cuda:0'), grad: tensor([-8.6613e-08, 3.2783e-07, -2.4401e-07, 4.7404e-07, -5.3644e-07, -2.2538e-06, 2.0489e-07, 1.2573e-07, 1.1642e-07, 1.8710e-06], device='cuda:0') 100 0.0001 changing lr epoch 268, time 214.16, cls_loss 0.0017 cls_loss_mapping 0.0034 cls_loss_causal 0.5146 re_mapping 0.0042 re_causal 0.0129 /// teacc 99.09 lr 0.00010000 Epoch 270, weight, value: tensor([[ 0.0240, -0.0965, -0.0722, ..., -0.2163, -0.0917, -0.1755], [-0.0860, -0.0532, -0.0155, ..., 0.0414, 0.0271, -0.1269], [ 0.0295, -0.1527, -0.1966, ..., 0.0163, -0.1558, 0.0789], ..., [-0.0237, -0.0275, -0.1822, ..., -0.1658, 0.0240, 0.1500], [ 0.0678, -0.1360, -0.1198, ..., -0.1719, -0.1019, -0.1406], [-0.2198, 0.0221, 0.1122, ..., 0.0848, -0.0938, -0.1711]], device='cuda:0'), grad: tensor([[ 8.2981e-07, 2.2817e-07, 6.7987e-08, ..., 4.7032e-07, 0.0000e+00, 9.3132e-10], [ 5.0291e-08, 1.3039e-08, 1.5832e-08, ..., 3.7253e-08, 0.0000e+00, 2.7940e-09], [ 7.5437e-08, 1.8626e-08, 6.5193e-09, ..., 3.9116e-08, 0.0000e+00, -1.8626e-08], ..., [ 8.3819e-09, 2.7940e-09, 1.6764e-08, ..., 2.0489e-08, 0.0000e+00, 1.1176e-08], [-2.7921e-06, -7.5251e-07, -1.7695e-07, ..., -1.5013e-06, 0.0000e+00, 1.8626e-09], [ 7.2364e-07, 1.9372e-07, -3.9116e-08, ..., 2.6729e-07, 0.0000e+00, 0.0000e+00]], device='cuda:0') Epoch 270, bias, value: tensor([-0.0236, -0.0235, -0.0421, 0.0067, 0.0094, 0.0390, 0.0229, -0.0168, -0.0128, -0.0160], device='cuda:0'), grad: tensor([ 3.5875e-06, 2.4773e-07, 3.4366e-07, 8.6147e-07, 1.2573e-07, 2.6058e-06, 1.3076e-06, 9.3132e-08, -1.2144e-05, 2.9653e-06], device='cuda:0') 100 0.0001 changing lr epoch 269, time 214.18, cls_loss 0.0010 cls_loss_mapping 0.0014 cls_loss_causal 0.4671 re_mapping 0.0043 re_causal 0.0128 /// teacc 99.03 lr 0.00010000 Epoch 271, weight, value: tensor([[ 0.0240, -0.0972, -0.0726, ..., -0.2174, -0.0917, -0.1768], [-0.0861, -0.0538, -0.0161, ..., 0.0413, 0.0271, -0.1270], [ 0.0294, -0.1535, -0.1973, ..., 0.0163, -0.1558, 0.0784], ..., [-0.0237, -0.0274, -0.1828, ..., -0.1661, 0.0240, 0.1504], [ 0.0680, -0.1362, -0.1188, ..., -0.1720, -0.1020, -0.1414], [-0.2200, 0.0226, 0.1123, ..., 0.0849, -0.0938, -0.1707]], device='cuda:0'), grad: tensor([[-2.2259e-07, 0.0000e+00, 4.0047e-08, ..., 3.6322e-08, 9.3132e-10, 1.8626e-09], [ 6.5193e-08, 9.3132e-10, -5.8673e-07, ..., -5.8487e-07, 0.0000e+00, 1.7695e-08], [ 4.9360e-08, 9.3132e-10, 2.7940e-09, ..., 2.7940e-09, 0.0000e+00, -3.0734e-08], ..., [ 1.3970e-08, -9.3132e-10, 2.5332e-07, ..., 2.4866e-07, 0.0000e+00, 9.3132e-10], [-1.7695e-08, 0.0000e+00, 1.0990e-07, ..., 1.0710e-07, 0.0000e+00, 6.5193e-09], [ 1.4901e-08, -0.0000e+00, 6.3330e-08, ..., 5.4948e-08, 0.0000e+00, 9.3132e-10]], device='cuda:0') Epoch 271, bias, value: tensor([-0.0238, -0.0235, -0.0423, 0.0067, 0.0094, 0.0390, 0.0225, -0.0168, -0.0118, -0.0159], device='cuda:0'), grad: tensor([-2.3134e-06, -8.7731e-07, 4.8988e-07, 2.6543e-07, 1.2107e-08, 3.3528e-07, 6.0257e-07, 8.4285e-07, 3.2596e-07, 3.2689e-07], device='cuda:0') 100 0.0001 changing lr epoch 270, time 214.27, cls_loss 0.0013 cls_loss_mapping 0.0014 cls_loss_causal 0.4921 re_mapping 0.0040 re_causal 0.0121 /// teacc 99.09 lr 0.00010000 Epoch 272, weight, value: tensor([[ 0.0239, -0.0974, -0.0734, ..., -0.2190, -0.0918, -0.1777], [-0.0863, -0.0541, -0.0155, ..., 0.0418, 0.0271, -0.1276], [ 0.0292, -0.1539, -0.2002, ..., 0.0162, -0.1559, 0.0780], ..., [-0.0241, -0.0271, -0.1839, ..., -0.1674, 0.0241, 0.1512], [ 0.0679, -0.1364, -0.1190, ..., -0.1722, -0.1021, -0.1420], [-0.2204, 0.0226, 0.1122, ..., 0.0848, -0.0939, -0.1709]], device='cuda:0'), grad: tensor([[-1.5832e-07, 0.0000e+00, 1.0710e-07, ..., 2.2352e-08, 0.0000e+00, 3.7253e-08], [ 3.1758e-07, 2.7940e-09, -2.0489e-07, ..., -2.5332e-07, 0.0000e+00, -2.7660e-06], [ 5.5879e-09, 0.0000e+00, 1.5832e-08, ..., 1.5832e-08, 0.0000e+00, -1.1660e-06], ..., [ 1.2107e-08, 2.7940e-09, 1.3504e-07, ..., 1.5646e-07, 0.0000e+00, 3.0305e-06], [ 1.5832e-08, 0.0000e+00, 5.4017e-08, ..., 4.3772e-08, 0.0000e+00, 1.3970e-08], [ 9.3132e-09, -1.0245e-08, -3.5297e-07, ..., -3.3714e-07, 0.0000e+00, 9.3132e-09]], device='cuda:0') Epoch 272, bias, value: tensor([-0.0243, -0.0234, -0.0425, 0.0068, 0.0095, 0.0396, 0.0218, -0.0169, -0.0120, -0.0160], device='cuda:0'), grad: tensor([-7.3016e-07, -1.1697e-05, 4.1164e-07, 2.5220e-06, 7.6089e-07, 1.2787e-06, -5.9232e-07, 8.4937e-06, 2.0862e-07, -6.1560e-07], device='cuda:0') 100 0.0001 changing lr epoch 271, time 214.45, cls_loss 0.0011 cls_loss_mapping 0.0018 cls_loss_causal 0.4697 re_mapping 0.0040 re_causal 0.0120 /// teacc 99.13 lr 0.00010000 Epoch 273, weight, value: tensor([[ 0.0243, -0.0974, -0.0747, ..., -0.2186, -0.0919, -0.1781], [-0.0866, -0.0544, -0.0154, ..., 0.0418, 0.0271, -0.1274], [ 0.0291, -0.1542, -0.2007, ..., 0.0162, -0.1559, 0.0782], ..., [-0.0252, -0.0269, -0.1848, ..., -0.1681, 0.0239, 0.1511], [ 0.0680, -0.1369, -0.1194, ..., -0.1723, -0.1023, -0.1428], [-0.2218, 0.0229, 0.1123, ..., 0.0848, -0.0937, -0.1710]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 1.3970e-09, 5.3551e-08, ..., 4.8894e-08, 0.0000e+00, 0.0000e+00], [ 9.3132e-10, 6.5193e-09, -1.0766e-06, ..., -9.3505e-07, 0.0000e+00, 4.3772e-08], [ 1.0710e-08, 7.4506e-09, 1.2107e-08, ..., 4.1910e-08, 0.0000e+00, 5.6345e-08], ..., [ 0.0000e+00, -1.8626e-08, 3.7719e-08, ..., -3.6787e-08, 0.0000e+00, -1.4622e-07], [-2.0023e-08, 9.3132e-10, 1.5367e-08, ..., 2.0023e-08, 0.0000e+00, 3.7253e-09], [ 4.1910e-09, -6.0536e-09, -2.4680e-08, ..., -2.0955e-08, 0.0000e+00, 1.8161e-08]], device='cuda:0') Epoch 273, bias, value: tensor([-0.0242, -0.0233, -0.0424, 0.0068, 0.0095, 0.0394, 0.0220, -0.0173, -0.0121, -0.0160], device='cuda:0'), grad: tensor([ 1.4342e-07, -2.7828e-06, 1.9604e-07, 4.8429e-08, 1.6857e-07, 5.0291e-08, 2.4047e-06, -1.2573e-07, -8.1025e-08, -2.4680e-08], device='cuda:0') 100 0.0001 changing lr epoch 272, time 214.17, cls_loss 0.0009 cls_loss_mapping 0.0018 cls_loss_causal 0.4629 re_mapping 0.0041 re_causal 0.0124 /// teacc 99.02 lr 0.00010000 Epoch 274, weight, value: tensor([[ 0.0234, -0.0974, -0.0772, ..., -0.2185, -0.0920, -0.1784], [-0.0872, -0.0545, -0.0152, ..., 0.0422, 0.0271, -0.1275], [ 0.0289, -0.1550, -0.2020, ..., 0.0162, -0.1558, 0.0781], ..., [-0.0251, -0.0267, -0.1852, ..., -0.1692, 0.0240, 0.1513], [ 0.0682, -0.1370, -0.1196, ..., -0.1725, -0.1024, -0.1431], [-0.2222, 0.0230, 0.1123, ..., 0.0848, -0.0937, -0.1712]], device='cuda:0'), grad: tensor([[-1.2061e-07, 4.6566e-10, -1.6298e-08, ..., 1.2107e-08, 0.0000e+00, 9.3132e-10], [ 6.9849e-09, 1.0338e-07, 1.4901e-08, ..., 1.1781e-07, 0.0000e+00, 1.8533e-07], [ 4.0513e-08, 5.1223e-09, 6.1467e-08, ..., 4.9826e-08, 0.0000e+00, 9.3132e-09], ..., [ 5.5879e-09, -1.6252e-07, -1.6764e-08, ..., -1.8906e-07, 0.0000e+00, -2.8405e-07], [ 2.8405e-08, 9.3132e-10, 4.6566e-09, ..., 5.0757e-08, 0.0000e+00, 2.3283e-09], [ 3.1199e-08, 5.6811e-08, 2.2817e-08, ..., 9.7789e-08, 0.0000e+00, 1.0012e-07]], device='cuda:0') Epoch 274, bias, value: tensor([-0.0254, -0.0231, -0.0425, 0.0068, 0.0095, 0.0393, 0.0229, -0.0175, -0.0118, -0.0160], device='cuda:0'), grad: tensor([-4.9407e-07, 7.6229e-07, 4.3819e-07, 9.4529e-08, -2.7940e-07, -6.7102e-07, 5.8860e-07, -1.1213e-06, 9.5461e-08, 5.7369e-07], device='cuda:0') 100 0.0001 changing lr epoch 273, time 213.83, cls_loss 0.0010 cls_loss_mapping 0.0019 cls_loss_causal 0.4897 re_mapping 0.0041 re_causal 0.0127 /// teacc 99.14 lr 0.00010000 Epoch 275, weight, value: tensor([[ 0.0234, -0.0977, -0.0776, ..., -0.2191, -0.0921, -0.1787], [-0.0875, -0.0548, -0.0154, ..., 0.0422, 0.0271, -0.1277], [ 0.0289, -0.1552, -0.2025, ..., 0.0163, -0.1560, 0.0790], ..., [-0.0253, -0.0264, -0.1855, ..., -0.1694, 0.0239, 0.1514], [ 0.0696, -0.1360, -0.1198, ..., -0.1723, -0.1025, -0.1437], [-0.2237, 0.0229, 0.1123, ..., 0.0849, -0.0930, -0.1714]], device='cuda:0'), grad: tensor([[-4.6566e-10, 0.0000e+00, 5.5879e-09, ..., 4.6566e-10, 0.0000e+00, 1.7229e-08], [ 4.6566e-10, 4.6566e-10, -8.3819e-09, ..., -1.6764e-08, 0.0000e+00, 6.9849e-09], [ 1.8626e-09, 0.0000e+00, 2.7940e-09, ..., 4.6566e-10, 0.0000e+00, -1.5600e-07], ..., [ 0.0000e+00, -4.6566e-10, 8.8476e-09, ..., 1.5832e-08, 0.0000e+00, 4.6566e-09], [-1.8626e-09, 0.0000e+00, 5.1223e-09, ..., 2.7940e-09, 0.0000e+00, 9.7789e-09], [ 1.8626e-09, 0.0000e+00, -3.2596e-09, ..., -1.8626e-09, 0.0000e+00, 9.3132e-10]], device='cuda:0') Epoch 275, bias, value: tensor([-0.0253, -0.0243, -0.0423, 0.0066, 0.0095, 0.0394, 0.0222, -0.0176, -0.0086, -0.0160], device='cuda:0'), grad: tensor([ 3.3062e-08, -2.7474e-08, -2.2212e-07, 1.5888e-06, 1.6764e-08, -1.3001e-06, -1.2433e-07, 4.7497e-08, -2.0023e-08, 1.1642e-08], device='cuda:0') 100 0.0001 changing lr epoch 274, time 214.03, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.4597 re_mapping 0.0041 re_causal 0.0124 /// teacc 99.00 lr 0.00010000 Epoch 276, weight, value: tensor([[ 0.0233, -0.0979, -0.0782, ..., -0.2196, -0.0923, -0.1790], [-0.0876, -0.0551, -0.0151, ..., 0.0423, 0.0271, -0.1278], [ 0.0287, -0.1559, -0.2031, ..., 0.0163, -0.1561, 0.0789], ..., [-0.0253, -0.0261, -0.1858, ..., -0.1696, 0.0240, 0.1516], [ 0.0697, -0.1362, -0.1196, ..., -0.1717, -0.1021, -0.1445], [-0.2241, 0.0231, 0.1124, ..., 0.0849, -0.0930, -0.1720]], device='cuda:0'), grad: tensor([[-9.3132e-09, 0.0000e+00, 1.2107e-08, ..., 6.0536e-09, 0.0000e+00, 4.6566e-09], [ 6.9849e-09, 1.3970e-09, -7.9162e-09, ..., 2.2817e-08, 0.0000e+00, 2.1001e-07], [ 7.4506e-09, 4.6566e-10, 7.4506e-09, ..., -8.3819e-09, 0.0000e+00, 1.0710e-08], ..., [ 5.5879e-09, 3.2596e-09, 4.5169e-08, ..., 9.3132e-09, 0.0000e+00, -2.8592e-07], [-1.8720e-07, 9.3132e-10, -4.0000e-07, ..., 9.3132e-09, 0.0000e+00, -2.7008e-08], [ 1.0710e-08, 4.6566e-10, -3.3947e-07, ..., -3.7346e-07, 0.0000e+00, 4.7497e-08]], device='cuda:0') Epoch 276, bias, value: tensor([-0.0256, -0.0242, -0.0424, 0.0066, 0.0094, 0.0392, 0.0227, -0.0176, -0.0082, -0.0159], device='cuda:0'), grad: tensor([ 2.2352e-08, 4.4843e-07, 6.9384e-08, 6.4261e-08, 5.0059e-07, 4.5169e-07, 1.3094e-06, -5.3272e-07, -1.8077e-06, -5.2573e-07], device='cuda:0') 100 0.0001 changing lr epoch 275, time 214.32, cls_loss 0.0011 cls_loss_mapping 0.0017 cls_loss_causal 0.4783 re_mapping 0.0041 re_causal 0.0122 /// teacc 99.05 lr 0.00010000 Epoch 277, weight, value: tensor([[ 0.0234, -0.0987, -0.0787, ..., -0.2202, -0.0923, -0.1794], [-0.0877, -0.0553, -0.0145, ..., 0.0425, 0.0271, -0.1278], [ 0.0285, -0.1562, -0.2055, ..., 0.0161, -0.1561, 0.0790], ..., [-0.0255, -0.0273, -0.1862, ..., -0.1714, 0.0240, 0.1516], [ 0.0695, -0.1364, -0.1203, ..., -0.1721, -0.1023, -0.1450], [-0.2248, 0.0243, 0.1123, ..., 0.0850, -0.0930, -0.1720]], device='cuda:0'), grad: tensor([[-2.8498e-07, 4.6566e-10, 2.7940e-09, ..., 3.7253e-09, 0.0000e+00, 1.3970e-09], [ 6.5193e-09, 7.4506e-09, 2.9802e-08, ..., 3.5856e-08, 0.0000e+00, 3.0734e-08], [ 4.6566e-10, 1.3970e-08, 1.8626e-09, ..., 1.8626e-09, 0.0000e+00, 4.7963e-08], ..., [ 1.3970e-09, -2.8871e-08, 4.7963e-07, ..., 4.4098e-07, 0.0000e+00, 1.1083e-07], [ 6.7521e-08, 1.8626e-09, 7.4506e-09, ..., 3.1618e-07, 0.0000e+00, 6.9849e-09], [ 7.4506e-09, 5.5879e-09, 1.0338e-07, ..., 9.4529e-08, 0.0000e+00, 6.6590e-08]], device='cuda:0') Epoch 277, bias, value: tensor([-0.0256, -0.0231, -0.0433, 0.0065, 0.0094, 0.0392, 0.0225, -0.0182, -0.0088, -0.0159], device='cuda:0'), grad: tensor([-8.6706e-07, 1.4482e-07, 7.8697e-08, 2.3516e-07, -1.8086e-06, -7.2084e-07, 8.7125e-07, 1.1837e-06, 5.2992e-07, 3.6601e-07], device='cuda:0') 100 0.0001 changing lr epoch 276, time 214.02, cls_loss 0.0010 cls_loss_mapping 0.0020 cls_loss_causal 0.4769 re_mapping 0.0042 re_causal 0.0126 /// teacc 99.05 lr 0.00010000 Epoch 278, weight, value: tensor([[ 0.0235, -0.0988, -0.0789, ..., -0.2204, -0.0925, -0.1798], [-0.0879, -0.0557, -0.0145, ..., 0.0425, 0.0269, -0.1280], [ 0.0284, -0.1566, -0.2058, ..., 0.0161, -0.1561, 0.0796], ..., [-0.0256, -0.0276, -0.1871, ..., -0.1721, 0.0241, 0.1516], [ 0.0698, -0.1365, -0.1202, ..., -0.1721, -0.1023, -0.1451], [-0.2255, 0.0245, 0.1128, ..., 0.0858, -0.0931, -0.1721]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 1.4435e-08, 5.5879e-09, ..., 1.3970e-09, 1.3970e-09, 3.6787e-08], [ 3.7253e-09, 1.0338e-07, -2.1886e-08, ..., -2.7008e-08, 1.5367e-08, 2.3376e-07], [ 3.7253e-09, 4.2375e-08, 5.1223e-09, ..., 4.1910e-09, 1.3970e-09, 6.4261e-08], ..., [ 1.3970e-09, -2.6403e-07, 1.6764e-08, ..., 1.7695e-08, -3.3528e-08, -5.7928e-07], [-5.8953e-07, 4.8429e-08, -1.3132e-06, ..., -7.9721e-07, 1.3970e-09, 1.1688e-07], [ 9.3132e-10, 3.6787e-08, -3.7253e-09, ..., -6.5193e-09, 4.1910e-09, 8.5216e-08]], device='cuda:0') Epoch 278, bias, value: tensor([-0.0256, -0.0231, -0.0432, 0.0065, 0.0089, 0.0390, 0.0221, -0.0185, -0.0086, -0.0152], device='cuda:0'), grad: tensor([ 1.1036e-07, 5.4203e-07, 2.4587e-07, -1.9595e-06, 1.5786e-07, 6.6794e-06, 1.6410e-06, -1.3877e-06, -6.2324e-06, 2.1933e-07], device='cuda:0') 100 0.0001 changing lr epoch 277, time 214.15, cls_loss 0.0009 cls_loss_mapping 0.0020 cls_loss_causal 0.4932 re_mapping 0.0040 re_causal 0.0127 /// teacc 98.99 lr 0.00010000 Epoch 279, weight, value: tensor([[ 0.0234, -0.0995, -0.0796, ..., -0.2216, -0.0925, -0.1813], [-0.0880, -0.0563, -0.0144, ..., 0.0423, 0.0269, -0.1281], [ 0.0283, -0.1572, -0.2061, ..., 0.0161, -0.1563, 0.0796], ..., [-0.0252, -0.0277, -0.1876, ..., -0.1730, 0.0242, 0.1519], [ 0.0699, -0.1369, -0.1203, ..., -0.1723, -0.1026, -0.1462], [-0.2257, 0.0253, 0.1128, ..., 0.0859, -0.0932, -0.1722]], device='cuda:0'), grad: tensor([[-4.1910e-08, 1.3970e-09, 9.3132e-09, ..., 2.3283e-09, 0.0000e+00, 1.4901e-08], [ 5.1223e-09, 1.3039e-08, -1.5367e-08, ..., -8.8476e-09, 0.0000e+00, 7.1246e-08], [ 1.3970e-09, 8.3819e-09, 1.8626e-09, ..., 2.3283e-09, 0.0000e+00, -8.7544e-08], ..., [ 1.3970e-09, -4.6100e-08, 1.9092e-08, ..., 1.1642e-08, 0.0000e+00, -7.7300e-08], [-0.0000e+00, 9.3132e-10, 8.8476e-09, ..., 6.0536e-09, 0.0000e+00, 2.1886e-08], [ 5.5879e-09, 7.4506e-09, -3.2596e-08, ..., -4.3772e-08, 0.0000e+00, 3.8184e-08]], device='cuda:0') Epoch 279, bias, value: tensor([-0.0260, -0.0231, -0.0432, 0.0064, 0.0089, 0.0391, 0.0221, -0.0186, -0.0086, -0.0152], device='cuda:0'), grad: tensor([-1.7509e-07, 1.4203e-07, -1.4389e-07, -1.7835e-07, 5.9605e-08, 1.3923e-07, 1.3737e-07, -9.0804e-08, 6.1467e-08, 5.0757e-08], device='cuda:0') 100 0.0001 changing lr epoch 278, time 214.17, cls_loss 0.0011 cls_loss_mapping 0.0017 cls_loss_causal 0.5023 re_mapping 0.0041 re_causal 0.0128 /// teacc 98.99 lr 0.00010000 Epoch 280, weight, value: tensor([[ 0.0234, -0.0997, -0.0800, ..., -0.2222, -0.0931, -0.1820], [-0.0881, -0.0586, -0.0162, ..., 0.0422, 0.0268, -0.1295], [ 0.0283, -0.1572, -0.2069, ..., 0.0160, -0.1563, 0.0800], ..., [-0.0253, -0.0269, -0.1878, ..., -0.1736, 0.0244, 0.1529], [ 0.0699, -0.1372, -0.1204, ..., -0.1724, -0.1026, -0.1470], [-0.2259, 0.0262, 0.1128, ..., 0.0858, -0.0932, -0.1722]], device='cuda:0'), grad: tensor([[ 5.0757e-08, 5.1223e-09, 1.3970e-07, ..., 2.7148e-07, 6.9849e-09, 9.3132e-09], [ 1.1316e-07, 7.3574e-08, -8.9407e-05, ..., -1.2445e-04, 2.4214e-08, 1.1967e-07], [ 1.1176e-08, 7.6834e-08, 1.3039e-07, ..., 1.9418e-07, 1.3970e-09, 1.0896e-07], ..., [ 5.1223e-09, 2.4680e-08, 6.4254e-05, ..., 8.9645e-05, 0.0000e+00, 4.2841e-08], [-4.4610e-07, 1.6298e-08, 1.1781e-07, ..., 5.4250e-07, 2.9802e-08, 8.3819e-09], [ 5.5879e-09, -1.9092e-08, 7.1824e-06, ..., 1.0118e-05, 4.6566e-10, 8.8476e-09]], device='cuda:0') Epoch 280, bias, value: tensor([-0.0260, -0.0247, -0.0434, 0.0065, 0.0090, 0.0390, 0.0222, -0.0170, -0.0087, -0.0152], device='cuda:0'), grad: tensor([ 9.0152e-07, -1.9717e-04, 7.5251e-07, 1.9632e-06, 3.8445e-05, 6.1691e-05, -6.2466e-05, 1.4329e-04, -3.8892e-06, 1.6108e-05], device='cuda:0') 100 0.0001 changing lr epoch 279, time 214.26, cls_loss 0.0015 cls_loss_mapping 0.0023 cls_loss_causal 0.4671 re_mapping 0.0043 re_causal 0.0119 /// teacc 98.93 lr 0.00010000 Epoch 281, weight, value: tensor([[ 0.0235, -0.1001, -0.0821, ..., -0.2214, -0.0934, -0.1829], [-0.0882, -0.0603, -0.0155, ..., 0.0428, 0.0269, -0.1299], [ 0.0282, -0.1560, -0.2082, ..., 0.0160, -0.1564, 0.0826], ..., [-0.0254, -0.0268, -0.1908, ..., -0.1761, 0.0244, 0.1525], [ 0.0702, -0.1375, -0.1209, ..., -0.1726, -0.1029, -0.1480], [-0.2262, 0.0271, 0.1128, ..., 0.0858, -0.0932, -0.1723]], device='cuda:0'), grad: tensor([[ 9.3132e-09, 4.6566e-10, 4.9826e-08, ..., 6.9849e-09, 1.3970e-09, 2.6543e-08], [ 4.1910e-09, 1.0710e-08, -1.0664e-07, ..., -1.0943e-07, -2.3283e-09, 8.4750e-08], [ 2.3283e-09, 9.3132e-10, 1.3970e-08, ..., 2.7940e-09, 9.3132e-10, -1.9139e-07], ..., [ 4.6566e-10, -7.9162e-09, 9.2201e-08, ..., 8.9873e-08, -2.3283e-09, -2.7940e-09], [ 3.7253e-09, 2.7940e-09, 4.6100e-08, ..., 1.1129e-07, 1.3970e-09, 3.1665e-08], [ 2.3283e-09, 1.8626e-09, 3.3062e-08, ..., 6.3330e-08, 9.3132e-10, 8.3819e-09]], device='cuda:0') Epoch 281, bias, value: tensor([-0.0258, -0.0249, -0.0429, 0.0058, 0.0091, 0.0392, 0.0222, -0.0176, -0.0081, -0.0152], device='cuda:0'), grad: tensor([ 1.9372e-07, -1.7136e-07, -2.5239e-07, 2.5099e-07, 2.1420e-07, -4.0606e-07, -4.7684e-07, 2.6682e-07, 2.1560e-07, 1.5972e-07], device='cuda:0') 100 0.0001 changing lr epoch 280, time 214.39, cls_loss 0.0015 cls_loss_mapping 0.0024 cls_loss_causal 0.4728 re_mapping 0.0046 re_causal 0.0125 /// teacc 99.00 lr 0.00010000 Epoch 282, weight, value: tensor([[ 0.0236, -0.1010, -0.0826, ..., -0.2225, -0.0934, -0.1844], [-0.0883, -0.0589, -0.0145, ..., 0.0434, 0.0301, -0.1301], [ 0.0281, -0.1578, -0.2105, ..., 0.0159, -0.1563, 0.0816], ..., [-0.0256, -0.0278, -0.1935, ..., -0.1784, 0.0215, 0.1532], [ 0.0696, -0.1385, -0.1223, ..., -0.1735, -0.1033, -0.1484], [-0.2267, 0.0275, 0.1129, ..., 0.0860, -0.0936, -0.1728]], device='cuda:0'), grad: tensor([[-1.0803e-07, 1.7695e-08, 9.6392e-08, ..., 2.1420e-08, 0.0000e+00, 9.3132e-10], [ 1.0245e-08, 6.5193e-09, 1.3504e-08, ..., 3.7253e-09, 0.0000e+00, 1.2107e-08], [ 2.7474e-08, 2.3283e-09, 1.0245e-08, ..., 4.6566e-09, 0.0000e+00, -3.6322e-08], ..., [ 4.6566e-09, 1.3970e-08, 5.6811e-08, ..., 3.6322e-08, 0.0000e+00, 1.3039e-08], [ 1.3970e-08, 1.4435e-08, 5.3085e-08, ..., 3.2596e-08, 0.0000e+00, 9.7789e-09], [ 1.4435e-08, -3.3947e-07, -1.7760e-06, ..., -8.5030e-07, 0.0000e+00, 9.3132e-10]], device='cuda:0') Epoch 282, bias, value: tensor([-0.0258, -0.0243, -0.0433, 0.0064, 0.0090, 0.0389, 0.0223, -0.0180, -0.0084, -0.0151], device='cuda:0'), grad: tensor([-4.9500e-07, 1.3039e-07, 1.6484e-07, 1.4156e-07, 2.8946e-06, -3.9581e-08, 1.7183e-07, 1.7742e-07, 7.3109e-08, -3.2373e-06], device='cuda:0') 100 0.0001 changing lr epoch 281, time 214.76, cls_loss 0.0011 cls_loss_mapping 0.0017 cls_loss_causal 0.4518 re_mapping 0.0046 re_causal 0.0126 /// teacc 99.11 lr 0.00010000 Epoch 283, weight, value: tensor([[ 0.0237, -0.1015, -0.0829, ..., -0.2235, -0.0934, -0.1853], [-0.0886, -0.0593, -0.0158, ..., 0.0430, 0.0304, -0.1301], [ 0.0280, -0.1591, -0.2104, ..., 0.0159, -0.1566, 0.0823], ..., [-0.0259, -0.0281, -0.1939, ..., -0.1787, 0.0212, 0.1530], [ 0.0701, -0.1408, -0.1212, ..., -0.1735, -0.1041, -0.1497], [-0.2295, 0.0308, 0.1134, ..., 0.0866, -0.0937, -0.1732]], device='cuda:0'), grad: tensor([[-5.1223e-09, 2.3283e-09, 1.3970e-09, ..., 2.3283e-09, 0.0000e+00, 5.1688e-08], [ 9.3132e-10, 5.2154e-07, 3.9907e-07, ..., 1.5413e-06, 0.0000e+00, 1.2722e-06], [ 4.6566e-10, -2.9802e-08, 5.1223e-09, ..., 2.0955e-08, 0.0000e+00, -1.0915e-06], ..., [ 4.6566e-10, -6.6869e-07, -4.8941e-07, ..., -1.9483e-06, 0.0000e+00, -1.0151e-06], [ 1.3970e-08, 1.1642e-08, 4.1444e-08, ..., 1.1269e-07, 0.0000e+00, 1.8394e-07], [ 4.1910e-09, 1.4808e-07, -4.6194e-07, ..., -7.0781e-08, 0.0000e+00, 2.6403e-07]], device='cuda:0') Epoch 283, bias, value: tensor([-0.0256, -0.0244, -0.0430, 0.0067, 0.0086, 0.0389, 0.0222, -0.0183, -0.0081, -0.0147], device='cuda:0'), grad: tensor([ 1.7928e-07, 7.0222e-06, -4.0233e-06, 5.0478e-07, 9.4343e-07, -1.4389e-07, 6.2166e-07, -6.5640e-06, 8.7451e-07, 5.8953e-07], device='cuda:0') 100 0.0001 changing lr epoch 282, time 214.00, cls_loss 0.0012 cls_loss_mapping 0.0018 cls_loss_causal 0.4791 re_mapping 0.0042 re_causal 0.0120 /// teacc 99.06 lr 0.00010000 Epoch 284, weight, value: tensor([[ 0.0236, -0.1025, -0.0852, ..., -0.2241, -0.0936, -0.1869], [-0.0887, -0.0597, -0.0160, ..., 0.0430, 0.0305, -0.1312], [ 0.0279, -0.1599, -0.2112, ..., 0.0159, -0.1572, 0.0832], ..., [-0.0260, -0.0276, -0.1941, ..., -0.1787, 0.0214, 0.1543], [ 0.0703, -0.1407, -0.1233, ..., -0.1743, -0.1051, -0.1532], [-0.2302, 0.0309, 0.1136, ..., 0.0868, -0.0943, -0.1739]], device='cuda:0'), grad: tensor([[-9.1270e-08, 0.0000e+00, 2.7008e-08, ..., 9.3132e-10, 0.0000e+00, 4.4703e-08], [ 1.4435e-08, 2.3283e-09, -5.8208e-08, ..., -8.4750e-08, 0.0000e+00, 5.2620e-08], [ 5.5879e-09, 4.6566e-10, 1.8626e-09, ..., 1.8626e-09, 0.0000e+00, -3.6834e-07], ..., [ 2.4680e-08, -0.0000e+00, 5.4948e-08, ..., 7.2177e-08, 0.0000e+00, 1.4296e-07], [ 1.1642e-08, 4.6566e-10, 6.5193e-09, ..., 4.1910e-09, 0.0000e+00, 4.9826e-08], [ 1.2107e-08, 2.7940e-09, -8.8476e-09, ..., -1.2573e-08, 0.0000e+00, 1.3504e-08]], device='cuda:0') Epoch 284, bias, value: tensor([-0.0270, -0.0249, -0.0426, 0.0067, 0.0086, 0.0387, 0.0226, -0.0176, -0.0089, -0.0145], device='cuda:0'), grad: tensor([-5.7509e-07, -7.6368e-08, -7.1619e-07, 2.2072e-07, 3.5856e-08, 2.0210e-07, -4.0978e-08, 6.7055e-07, 1.7975e-07, 1.1222e-07], device='cuda:0') 100 0.0001 changing lr epoch 283, time 214.25, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.4797 re_mapping 0.0041 re_causal 0.0120 /// teacc 99.09 lr 0.00010000 Epoch 285, weight, value: tensor([[ 0.0236, -0.1032, -0.0856, ..., -0.2248, -0.0936, -0.1876], [-0.0889, -0.0599, -0.0158, ..., 0.0431, 0.0306, -0.1313], [ 0.0277, -0.1611, -0.2116, ..., 0.0159, -0.1570, 0.0798], ..., [-0.0261, -0.0272, -0.1944, ..., -0.1790, 0.0214, 0.1564], [ 0.0713, -0.1385, -0.1230, ..., -0.1738, -0.1053, -0.1540], [-0.2316, 0.0307, 0.1136, ..., 0.0868, -0.0944, -0.1741]], device='cuda:0'), grad: tensor([[-2.6543e-08, 2.3283e-09, 5.1223e-09, ..., 8.8476e-09, 0.0000e+00, 7.9162e-09], [ 2.7940e-09, 2.6077e-08, -4.4238e-08, ..., -4.1910e-09, 0.0000e+00, 8.2888e-08], [ 1.8626e-09, 2.9337e-08, 5.3085e-08, ..., 1.1828e-07, 0.0000e+00, -2.2817e-08], ..., [ 9.3132e-10, 2.5285e-07, 5.2201e-07, ..., 1.1977e-06, 0.0000e+00, -8.7544e-08], [ 5.1223e-09, 1.3178e-07, 2.4261e-07, ..., 5.6997e-07, 0.0000e+00, 2.4214e-08], [ 7.9162e-09, -6.2911e-07, -1.0645e-06, ..., -2.6934e-06, 0.0000e+00, 1.6764e-08]], device='cuda:0') Epoch 285, bias, value: tensor([-0.0273, -0.0248, -0.0442, 0.0067, 0.0086, 0.0384, 0.0226, -0.0169, -0.0086, -0.0145], device='cuda:0'), grad: tensor([-1.2154e-07, 5.1688e-08, 2.4401e-07, 4.0513e-08, 1.6280e-06, 1.0571e-07, 4.5169e-08, 2.6692e-06, 1.4100e-06, -6.0536e-06], device='cuda:0') 100 0.0001 changing lr epoch 284, time 214.36, cls_loss 0.0011 cls_loss_mapping 0.0017 cls_loss_causal 0.4698 re_mapping 0.0041 re_causal 0.0123 /// teacc 99.06 lr 0.00010000 Epoch 286, weight, value: tensor([[ 0.0238, -0.1035, -0.0877, ..., -0.2248, -0.0936, -0.1880], [-0.0892, -0.0600, -0.0156, ..., 0.0432, 0.0306, -0.1318], [ 0.0275, -0.1614, -0.2123, ..., 0.0159, -0.1568, 0.0798], ..., [-0.0264, -0.0271, -0.1947, ..., -0.1793, 0.0214, 0.1570], [ 0.0713, -0.1388, -0.1235, ..., -0.1741, -0.1071, -0.1550], [-0.2319, 0.0308, 0.1137, ..., 0.0868, -0.0944, -0.1745]], device='cuda:0'), grad: tensor([[-7.4506e-09, 1.3970e-09, 2.7474e-08, ..., 9.3132e-09, 0.0000e+00, 1.1642e-08], [ 6.9849e-09, 6.8452e-08, -1.7043e-07, ..., 7.1432e-07, 0.0000e+00, 1.6242e-06], [ 3.2596e-09, 1.2992e-07, 9.7789e-09, ..., -1.0757e-06, 0.0000e+00, -1.6131e-06], ..., [ 1.8626e-09, -1.0841e-06, 1.3597e-07, ..., 2.8033e-07, 0.0000e+00, -1.6810e-06], [-4.6566e-09, 3.2596e-09, 3.2131e-08, ..., 2.4214e-08, 0.0000e+00, 2.0489e-08], [ 3.7253e-09, 8.6986e-07, -1.2061e-07, ..., -9.0804e-08, 0.0000e+00, 1.6149e-06]], device='cuda:0') Epoch 286, bias, value: tensor([-0.0284, -0.0250, -0.0443, 0.0066, 0.0085, 0.0384, 0.0228, -0.0167, -0.0090, -0.0144], device='cuda:0'), grad: tensor([ 5.9605e-08, 5.0701e-06, -6.0499e-06, -4.2841e-08, 3.5716e-07, 9.2667e-08, -1.6810e-07, -3.7551e-06, -2.6543e-08, 4.4703e-06], device='cuda:0') 100 0.0001 changing lr epoch 285, time 214.32, cls_loss 0.0010 cls_loss_mapping 0.0016 cls_loss_causal 0.4746 re_mapping 0.0040 re_causal 0.0122 /// teacc 99.01 lr 0.00010000 Epoch 287, weight, value: tensor([[ 0.0240, -0.1041, -0.0880, ..., -0.2253, -0.0936, -0.1893], [-0.0894, -0.0602, -0.0152, ..., 0.0434, 0.0306, -0.1323], [ 0.0273, -0.1619, -0.2129, ..., 0.0159, -0.1567, 0.0799], ..., [-0.0266, -0.0268, -0.1957, ..., -0.1800, 0.0214, 0.1573], [ 0.0718, -0.1395, -0.1237, ..., -0.1743, -0.1071, -0.1557], [-0.2323, 0.0307, 0.1137, ..., 0.0869, -0.0944, -0.1751]], device='cuda:0'), grad: tensor([[-5.2620e-08, -2.9337e-08, 8.6147e-08, ..., 6.0536e-08, 2.7940e-09, 1.8626e-08], [ 1.2573e-08, 1.3039e-08, -2.2026e-07, ..., -1.7975e-07, 1.8626e-09, 3.6322e-08], [ 1.1176e-08, 6.5193e-09, 4.8429e-08, ..., -2.2817e-08, -1.9092e-08, -1.2945e-07], ..., [ 2.7940e-09, -2.0489e-08, 3.2084e-07, ..., 2.4820e-07, 2.7940e-09, -2.7008e-08], [-9.3132e-09, 8.3819e-09, 1.0384e-07, ..., 7.1712e-08, 1.3970e-09, 2.6077e-08], [ 2.7940e-09, -4.1910e-09, 2.4512e-06, ..., 1.6075e-06, 3.2596e-09, 2.4214e-08]], device='cuda:0') Epoch 287, bias, value: tensor([-0.0284, -0.0249, -0.0448, 0.0073, 0.0085, 0.0381, 0.0225, -0.0165, -0.0089, -0.0144], device='cuda:0'), grad: tensor([-3.9581e-08, -4.3865e-07, -5.2620e-08, 1.6624e-07, -5.5768e-06, 3.3434e-07, 7.1945e-07, 9.4436e-07, -7.7439e-07, 4.7274e-06], device='cuda:0') 100 0.0001 changing lr epoch 286, time 214.24, cls_loss 0.0011 cls_loss_mapping 0.0018 cls_loss_causal 0.4731 re_mapping 0.0040 re_causal 0.0120 /// teacc 98.97 lr 0.00010000 Epoch 288, weight, value: tensor([[ 0.0242, -0.1042, -0.0884, ..., -0.2260, -0.0936, -0.1899], [-0.0897, -0.0605, -0.0150, ..., 0.0437, 0.0306, -0.1332], [ 0.0269, -0.1624, -0.2135, ..., 0.0159, -0.1567, 0.0800], ..., [-0.0272, -0.0267, -0.1962, ..., -0.1805, 0.0214, 0.1580], [ 0.0720, -0.1399, -0.1254, ..., -0.1753, -0.1072, -0.1563], [-0.2326, 0.0307, 0.1139, ..., 0.0871, -0.0944, -0.1754]], device='cuda:0'), grad: tensor([[-3.2596e-09, 4.6566e-09, 5.1223e-09, ..., 4.6566e-10, 0.0000e+00, 3.2596e-09], [ 2.3283e-09, 3.7253e-09, 9.3132e-10, ..., 0.0000e+00, 0.0000e+00, 2.4214e-08], [ 3.1665e-08, 5.5879e-09, 2.3283e-09, ..., 4.6566e-10, 0.0000e+00, -2.1886e-08], ..., [ 1.3970e-09, -1.3970e-09, 0.0000e+00, ..., 4.6566e-10, 0.0000e+00, -8.8476e-09], [-4.8429e-08, 6.0536e-09, 4.6566e-10, ..., 9.3132e-10, 0.0000e+00, 2.0955e-08], [ 7.9162e-09, 2.7940e-09, -4.1910e-09, ..., 1.4435e-08, 0.0000e+00, 6.5193e-09]], device='cuda:0') Epoch 288, bias, value: tensor([-0.0284, -0.0252, -0.0447, 0.0072, 0.0084, 0.0383, 0.0217, -0.0163, -0.0092, -0.0142], device='cuda:0'), grad: tensor([-1.3504e-08, 6.0536e-08, 3.3388e-07, -8.3819e-09, 1.1642e-08, 5.9605e-08, -3.3528e-08, -1.3970e-08, -4.5635e-07, 6.7987e-08], device='cuda:0') 100 0.0001 changing lr epoch 287, time 214.50, cls_loss 0.0009 cls_loss_mapping 0.0013 cls_loss_causal 0.4728 re_mapping 0.0039 re_causal 0.0119 /// teacc 99.01 lr 0.00010000 Epoch 289, weight, value: tensor([[ 0.0241, -0.1044, -0.0889, ..., -0.2264, -0.0936, -0.1903], [-0.0898, -0.0606, -0.0149, ..., 0.0436, 0.0306, -0.1334], [ 0.0267, -0.1636, -0.2142, ..., 0.0160, -0.1573, 0.0799], ..., [-0.0274, -0.0264, -0.1964, ..., -0.1806, 0.0214, 0.1582], [ 0.0721, -0.1403, -0.1255, ..., -0.1754, -0.1072, -0.1567], [-0.2328, 0.0307, 0.1139, ..., 0.0871, -0.0944, -0.1757]], device='cuda:0'), grad: tensor([[ 3.7253e-09, 3.2596e-09, 8.8476e-09, ..., 1.0710e-08, 0.0000e+00, 5.5879e-09], [ 9.3132e-10, 2.8871e-08, -2.5379e-07, ..., -1.8626e-09, 9.3132e-10, 7.4506e-08], [ 4.6566e-10, 8.8476e-09, 2.2352e-08, ..., 3.7253e-09, 0.0000e+00, 7.9162e-09], ..., [ 1.3970e-09, -1.6298e-08, 1.3551e-07, ..., 1.4901e-08, -1.3970e-09, -6.7987e-08], [-9.3132e-10, 7.9162e-09, 8.4750e-08, ..., 1.4901e-08, 0.0000e+00, 1.3039e-08], [ 7.4506e-09, 1.3504e-08, 4.4238e-08, ..., 3.8184e-08, 4.6566e-10, 3.0268e-08]], device='cuda:0') Epoch 289, bias, value: tensor([-0.0287, -0.0253, -0.0446, 0.0073, 0.0084, 0.0383, 0.0216, -0.0163, -0.0091, -0.0142], device='cuda:0'), grad: tensor([ 8.7544e-08, -2.2836e-06, 2.1420e-07, -2.0862e-07, -1.4855e-07, -3.1851e-07, 3.1292e-07, 1.1055e-06, 9.9558e-07, 2.4587e-07], device='cuda:0') 100 0.0001 changing lr epoch 288, time 214.41, cls_loss 0.0010 cls_loss_mapping 0.0012 cls_loss_causal 0.4453 re_mapping 0.0039 re_causal 0.0119 /// teacc 99.01 lr 0.00010000 Epoch 290, weight, value: tensor([[ 0.0244, -0.1049, -0.0900, ..., -0.2269, -0.0936, -0.1908], [-0.0905, -0.0612, -0.0151, ..., 0.0437, 0.0306, -0.1335], [ 0.0265, -0.1639, -0.2147, ..., 0.0160, -0.1574, 0.0800], ..., [-0.0278, -0.0263, -0.1966, ..., -0.1807, 0.0214, 0.1582], [ 0.0721, -0.1409, -0.1256, ..., -0.1758, -0.1073, -0.1571], [-0.2331, 0.0306, 0.1143, ..., 0.0875, -0.0944, -0.1760]], device='cuda:0'), grad: tensor([[-4.1444e-08, 1.5367e-08, 1.1176e-08, ..., 2.2352e-08, 4.6566e-10, 6.0070e-08], [ 6.0536e-09, 5.2620e-08, -4.1910e-09, ..., 6.7055e-08, 1.8626e-09, 1.8487e-07], [ 1.8626e-09, 2.0489e-08, 5.5879e-09, ..., 3.2131e-08, 0.0000e+00, -2.9337e-08], ..., [-1.8626e-09, 2.7474e-08, 1.1316e-07, ..., 3.0035e-07, -5.1223e-09, 9.9186e-08], [ 1.1176e-08, 8.2422e-08, 1.0245e-07, ..., 2.8918e-07, 0.0000e+00, 2.7148e-07], [ 1.3504e-08, 5.4017e-08, -2.8312e-07, ..., -6.1840e-07, 2.3283e-09, 1.8440e-07]], device='cuda:0') Epoch 290, bias, value: tensor([-0.0286, -0.0255, -0.0446, 0.0077, 0.0081, 0.0386, 0.0210, -0.0165, -0.0085, -0.0138], device='cuda:0'), grad: tensor([-4.2841e-08, 5.6345e-07, -2.5611e-08, -8.7768e-06, 1.4231e-06, 6.5789e-06, -9.9838e-07, 1.0822e-06, 1.4501e-06, -1.2442e-06], device='cuda:0') 100 0.0001 changing lr epoch 289, time 214.10, cls_loss 0.0011 cls_loss_mapping 0.0020 cls_loss_causal 0.4838 re_mapping 0.0039 re_causal 0.0122 /// teacc 98.77 lr 0.00010000 Epoch 291, weight, value: tensor([[ 0.0257, -0.1046, -0.0896, ..., -0.2275, -0.0937, -0.1912], [-0.0917, -0.0613, -0.0149, ..., 0.0438, 0.0306, -0.1336], [ 0.0262, -0.1636, -0.2156, ..., 0.0160, -0.1570, 0.0801], ..., [-0.0282, -0.0259, -0.1969, ..., -0.1809, 0.0215, 0.1583], [ 0.0722, -0.1412, -0.1283, ..., -0.1779, -0.1080, -0.1578], [-0.2343, 0.0304, 0.1156, ..., 0.0892, -0.0946, -0.1764]], device='cuda:0'), grad: tensor([[-1.8626e-08, 1.3970e-09, 5.5879e-09, ..., 6.9849e-09, 0.0000e+00, 5.5879e-09], [ 1.8626e-09, 3.4925e-08, -5.0105e-07, ..., -2.2631e-07, 0.0000e+00, 7.2643e-08], [ 1.8626e-09, 1.1176e-08, 1.7229e-08, ..., -1.8720e-07, 0.0000e+00, -1.1781e-07], ..., [ 2.3283e-09, -4.4238e-08, 7.6368e-08, ..., 4.2841e-08, 0.0000e+00, -9.8720e-08], [ 1.8626e-08, 2.2352e-08, 2.3842e-07, ..., 1.5507e-07, 0.0000e+00, 3.7253e-08], [ 6.5193e-09, 7.4506e-09, 3.2596e-09, ..., 1.8766e-07, 0.0000e+00, 1.4435e-07]], device='cuda:0') Epoch 291, bias, value: tensor([-0.0259, -0.0255, -0.0445, 0.0075, 0.0064, 0.0385, 0.0196, -0.0165, -0.0095, -0.0121], device='cuda:0'), grad: tensor([-3.4459e-08, -1.4063e-06, -1.8179e-06, -1.0058e-07, 2.4727e-07, -7.2177e-08, 3.0827e-07, -1.4435e-08, 9.8627e-07, 1.9073e-06], device='cuda:0') 100 0.0001 changing lr epoch 290, time 214.13, cls_loss 0.0012 cls_loss_mapping 0.0023 cls_loss_causal 0.4590 re_mapping 0.0040 re_causal 0.0117 /// teacc 99.03 lr 0.00010000 Epoch 292, weight, value: tensor([[ 0.0254, -0.1049, -0.0896, ..., -0.2278, -0.0938, -0.1926], [-0.0923, -0.0615, -0.0133, ..., 0.0438, 0.0320, -0.1337], [ 0.0257, -0.1637, -0.2160, ..., 0.0159, -0.1563, 0.0803], ..., [-0.0287, -0.0262, -0.1988, ..., -0.1810, 0.0201, 0.1584], [ 0.0726, -0.1415, -0.1309, ..., -0.1798, -0.1094, -0.1586], [-0.2348, 0.0295, 0.1157, ..., 0.0891, -0.0942, -0.1772]], device='cuda:0'), grad: tensor([[ 0.0000e+00, 9.3132e-10, 3.2596e-09, ..., 4.7497e-08, 0.0000e+00, 1.5832e-08], [ 0.0000e+00, 9.3132e-10, -3.1199e-08, ..., -1.4007e-06, 0.0000e+00, 6.0536e-09], [ 4.6566e-10, -1.4901e-08, 2.7940e-09, ..., 6.8918e-07, 0.0000e+00, -3.3202e-07], ..., [ 0.0000e+00, 1.3970e-09, 4.3772e-08, ..., 6.2399e-07, 0.0000e+00, 7.4506e-09], [-1.3970e-09, 2.7940e-09, 1.7229e-08, ..., 1.6298e-08, 0.0000e+00, 4.6566e-08], [ 4.6566e-10, 9.3132e-10, -3.6322e-08, ..., -4.2375e-08, 0.0000e+00, 2.3283e-09]], device='cuda:0') Epoch 292, bias, value: tensor([-0.0262, -0.0243, -0.0443, 0.0047, 0.0065, 0.0413, 0.0192, -0.0178, -0.0106, -0.0121], device='cuda:0'), grad: tensor([ 5.6904e-07, -1.4760e-05, 5.4464e-06, 1.2200e-06, 2.2817e-08, 5.6252e-07, 1.5367e-07, 6.3293e-06, 4.4703e-07, -5.5879e-09], device='cuda:0') 100 0.0001 changing lr epoch 291, time 214.16, cls_loss 0.0010 cls_loss_mapping 0.0016 cls_loss_causal 0.4610 re_mapping 0.0041 re_causal 0.0119 /// teacc 99.08 lr 0.00010000 Epoch 293, weight, value: tensor([[ 0.0246, -0.1051, -0.0898, ..., -0.2281, -0.0938, -0.1932], [-0.0925, -0.0617, -0.0132, ..., 0.0439, 0.0320, -0.1338], [ 0.0255, -0.1639, -0.2166, ..., 0.0159, -0.1555, 0.0806], ..., [-0.0289, -0.0250, -0.1992, ..., -0.1812, 0.0201, 0.1584], [ 0.0725, -0.1418, -0.1312, ..., -0.1801, -0.1107, -0.1607], [-0.2351, 0.0279, 0.1157, ..., 0.0891, -0.0942, -0.1781]], device='cuda:0'), grad: tensor([[ 1.9395e-07, 0.0000e+00, 1.5204e-07, ..., 8.8941e-08, 0.0000e+00, 0.0000e+00], [ 5.5879e-09, 8.3819e-09, -1.0384e-07, ..., -1.2503e-07, 0.0000e+00, 1.2573e-08], [ 6.2864e-09, 4.6566e-10, 6.7521e-09, ..., 8.6147e-09, 0.0000e+00, 6.9849e-10], ..., [ 9.3132e-10, -1.6065e-08, 3.7486e-08, ..., 4.0513e-08, 0.0000e+00, -2.8638e-08], [ 5.7276e-08, 2.3283e-10, 3.8184e-08, ..., 6.2166e-08, 0.0000e+00, 2.3283e-10], [ 1.7462e-08, 6.9849e-09, 3.5157e-08, ..., 3.6787e-08, 0.0000e+00, 1.6298e-08]], device='cuda:0') Epoch 293, bias, value: tensor([-0.0269, -0.0242, -0.0441, 0.0045, 0.0065, 0.0416, 0.0197, -0.0176, -0.0111, -0.0122], device='cuda:0'), grad: tensor([ 1.1157e-06, -2.4284e-07, 5.7975e-08, 1.2037e-07, 1.3644e-07, 3.4086e-06, -5.0217e-06, 2.9569e-08, -1.0035e-07, 4.9919e-07], device='cuda:0') 100 0.0001 changing lr epoch 292, time 214.24, cls_loss 0.0010 cls_loss_mapping 0.0019 cls_loss_causal 0.4860 re_mapping 0.0038 re_causal 0.0116 /// teacc 99.07 lr 0.00010000 Epoch 294, weight, value: tensor([[ 0.0247, -0.1052, -0.0899, ..., -0.2290, -0.0939, -0.1936], [-0.0927, -0.0617, -0.0130, ..., 0.0438, 0.0319, -0.1340], [ 0.0254, -0.1640, -0.2160, ..., 0.0159, -0.1553, 0.0808], ..., [-0.0292, -0.0245, -0.1993, ..., -0.1812, 0.0202, 0.1585], [ 0.0736, -0.1416, -0.1313, ..., -0.1798, -0.1108, -0.1612], [-0.2371, 0.0275, 0.1157, ..., 0.0891, -0.0942, -0.1786]], device='cuda:0'), grad: tensor([[-3.1199e-08, 0.0000e+00, 1.7928e-08, ..., 1.3970e-09, 0.0000e+00, 3.7253e-09], [ 4.1910e-09, 6.9849e-10, -3.9581e-08, ..., -2.7940e-08, 0.0000e+00, 2.0955e-09], [ 9.3132e-10, 2.3283e-10, 2.3283e-09, ..., 1.6298e-09, 0.0000e+00, -3.3993e-08], ..., [ 1.1642e-09, 6.9849e-10, 1.2573e-08, ..., 1.0477e-08, 0.0000e+00, 3.0966e-08], [ 5.1223e-09, 2.3283e-10, 2.5611e-08, ..., 1.7695e-08, 0.0000e+00, 1.6298e-09], [ 1.3504e-08, -6.9849e-10, -3.0501e-08, ..., -2.6310e-08, 0.0000e+00, 4.6566e-10]], device='cuda:0') Epoch 294, bias, value: tensor([-0.0268, -0.0243, -0.0438, 0.0039, 0.0065, 0.0419, 0.0199, -0.0175, -0.0103, -0.0123], device='cuda:0'), grad: tensor([-1.3644e-07, -7.2177e-08, -5.5414e-08, 2.3283e-09, 3.0734e-08, 7.9395e-08, -3.1898e-08, 9.8487e-08, 7.3574e-08, 2.0489e-08], device='cuda:0') 100 0.0001 changing lr epoch 293, time 214.36, cls_loss 0.0010 cls_loss_mapping 0.0017 cls_loss_causal 0.4713 re_mapping 0.0039 re_causal 0.0118 /// teacc 98.98 lr 0.00010000 Epoch 295, weight, value: tensor([[ 0.0248, -0.1053, -0.0899, ..., -0.2293, -0.0940, -0.1938], [-0.0933, -0.0619, -0.0116, ..., 0.0450, 0.0319, -0.1339], [ 0.0253, -0.1646, -0.2171, ..., 0.0158, -0.1558, 0.0808], ..., [-0.0293, -0.0243, -0.2003, ..., -0.1822, 0.0202, 0.1585], [ 0.0739, -0.1419, -0.1314, ..., -0.1800, -0.1108, -0.1614], [-0.2374, 0.0275, 0.1156, ..., 0.0891, -0.0942, -0.1788]], device='cuda:0'), grad: tensor([[ 2.0023e-08, 0.0000e+00, 3.1432e-08, ..., 6.0536e-09, 2.4680e-08, 9.3132e-09], [ 6.9849e-10, 3.4925e-09, -3.2433e-07, ..., -3.2084e-07, 2.3283e-10, 1.2340e-08], [ 3.2596e-09, 1.3970e-09, 3.4925e-09, ..., 2.7940e-09, 4.6566e-10, 5.1223e-09], ..., [ 2.3283e-10, -1.1409e-08, 7.6368e-08, ..., 7.8231e-08, 0.0000e+00, -4.1211e-08], [-1.0710e-08, 1.1642e-09, 9.1037e-08, ..., 1.5087e-07, 2.3283e-10, 4.4238e-09], [ 1.1642e-09, 2.3283e-09, 2.0256e-08, ..., 3.4692e-08, 0.0000e+00, 1.2573e-08]], device='cuda:0') Epoch 295, bias, value: tensor([-0.0263, -0.0239, -0.0439, 0.0041, 0.0065, 0.0416, 0.0199, -0.0179, -0.0100, -0.0124], device='cuda:0'), grad: tensor([ 1.3155e-07, -7.0268e-07, 4.1211e-08, 3.1432e-08, 2.4447e-07, 4.5868e-08, -1.5204e-07, 6.7521e-08, 2.0210e-07, 1.1781e-07], device='cuda:0') 100 0.0001 changing lr epoch 294, time 214.69, cls_loss 0.0010 cls_loss_mapping 0.0019 cls_loss_causal 0.4809 re_mapping 0.0041 re_causal 0.0122 /// teacc 99.06 lr 0.00010000 Epoch 296, weight, value: tensor([[ 0.0246, -0.1053, -0.0901, ..., -0.2323, -0.0940, -0.1942], [-0.0936, -0.0619, -0.0113, ..., 0.0453, 0.0320, -0.1339], [ 0.0249, -0.1648, -0.2177, ..., 0.0158, -0.1558, 0.0810], ..., [-0.0296, -0.0245, -0.2008, ..., -0.1829, 0.0201, 0.1584], [ 0.0744, -0.1421, -0.1312, ..., -0.1798, -0.1109, -0.1617], [-0.2385, 0.0277, 0.1157, ..., 0.0891, -0.0941, -0.1790]], device='cuda:0'), grad: tensor([[-5.7742e-08, 9.3132e-10, -6.6822e-08, ..., -1.7695e-08, 0.0000e+00, 3.2596e-09], [ 3.5856e-08, 5.3551e-09, 4.7497e-08, ..., 1.1176e-08, 0.0000e+00, 2.1653e-08], [ 2.5611e-09, 9.3132e-10, 4.8894e-09, ..., 1.1642e-09, 0.0000e+00, 2.3283e-09], ..., [ 2.0955e-09, 4.4238e-09, 6.9849e-09, ..., 4.4238e-09, 0.0000e+00, 1.9558e-08], [ 8.4750e-08, 5.3551e-09, 1.3039e-08, ..., 2.3074e-07, 0.0000e+00, 2.4680e-08], [ 1.1176e-08, 3.0268e-09, 1.3737e-08, ..., 5.5879e-09, 0.0000e+00, 1.0710e-08]], device='cuda:0') Epoch 296, bias, value: tensor([-0.0264, -0.0236, -0.0440, 0.0038, 0.0065, 0.0417, 0.0197, -0.0181, -0.0094, -0.0124], device='cuda:0'), grad: tensor([-1.2787e-06, 7.0734e-07, 4.4471e-08, -3.1339e-07, 2.4680e-08, -3.2294e-07, 1.7253e-07, 9.7090e-08, 6.1281e-07, 2.8219e-07], device='cuda:0') 100 0.0001 changing lr epoch 295, time 214.27, cls_loss 0.0009 cls_loss_mapping 0.0018 cls_loss_causal 0.4705 re_mapping 0.0039 re_causal 0.0119 /// teacc 99.01 lr 0.00010000 Epoch 297, weight, value: tensor([[ 0.0246, -0.1054, -0.0903, ..., -0.2324, -0.0941, -0.1946], [-0.0938, -0.0621, -0.0113, ..., 0.0454, 0.0320, -0.1341], [ 0.0251, -0.1652, -0.2190, ..., 0.0157, -0.1535, 0.0811], ..., [-0.0298, -0.0244, -0.2010, ..., -0.1830, 0.0201, 0.1585], [ 0.0745, -0.1425, -0.1310, ..., -0.1800, -0.1123, -0.1623], [-0.2390, 0.0276, 0.1157, ..., 0.0891, -0.0942, -0.1793]], device='cuda:0'), grad: tensor([[-8.3819e-09, 9.3132e-10, 7.2177e-09, ..., 3.0268e-09, 0.0000e+00, 6.4028e-08], [ 2.5611e-09, 3.4925e-09, -9.5321e-07, ..., -2.5169e-07, 0.0000e+00, 4.1211e-07], [ 9.3132e-10, 3.5623e-08, 1.4203e-08, ..., 4.6566e-09, 0.0000e+00, -1.7704e-06], ..., [ 1.8626e-09, 2.3283e-09, 5.4250e-07, ..., 1.4831e-07, 0.0000e+00, 1.6205e-07], [ 1.5134e-08, 6.5193e-09, 6.1467e-08, ..., 5.4715e-08, 0.0000e+00, 1.3504e-08], [ 2.0955e-08, 8.3819e-09, 2.3958e-07, ..., 5.8208e-08, 0.0000e+00, 7.2177e-09]], device='cuda:0') Epoch 297, bias, value: tensor([-0.0262, -0.0236, -0.0442, 0.0037, 0.0065, 0.0418, 0.0194, -0.0180, -0.0091, -0.0125], device='cuda:0'), grad: tensor([ 1.3178e-07, -2.0210e-06, -5.2489e-06, 4.4405e-06, 1.6810e-07, -1.0133e-06, 3.1665e-08, 2.2203e-06, 3.0105e-07, 1.0002e-06], device='cuda:0') 100 0.0001 changing lr epoch 296, time 213.89, cls_loss 0.0009 cls_loss_mapping 0.0014 cls_loss_causal 0.4815 re_mapping 0.0040 re_causal 0.0123 /// teacc 99.09 lr 0.00010000 Epoch 298, weight, value: tensor([[ 0.0248, -0.1063, -0.0904, ..., -0.2329, -0.0942, -0.1957], [-0.0944, -0.0626, -0.0120, ..., 0.0452, 0.0320, -0.1342], [ 0.0244, -0.1662, -0.2204, ..., 0.0156, -0.1534, 0.0813], ..., [-0.0300, -0.0240, -0.2011, ..., -0.1830, 0.0201, 0.1588], [ 0.0745, -0.1431, -0.1313, ..., -0.1804, -0.1127, -0.1639], [-0.2394, 0.0278, 0.1158, ..., 0.0892, -0.0942, -0.1798]], device='cuda:0'), grad: tensor([[-7.4506e-09, 0.0000e+00, 6.5193e-09, ..., 4.6566e-09, 0.0000e+00, 1.8626e-09], [ 1.8626e-09, 3.2596e-09, -1.5367e-08, ..., -1.1176e-08, 0.0000e+00, 4.7963e-08], [ 4.6566e-10, 1.8626e-09, 1.1176e-08, ..., 5.5879e-09, 0.0000e+00, -6.2864e-08], ..., [ 1.8626e-09, -4.1910e-09, 7.3574e-08, ..., 3.4459e-08, 0.0000e+00, -3.3528e-08], [ 5.4017e-08, 9.3132e-10, 1.7695e-08, ..., 1.5553e-07, 0.0000e+00, 3.7719e-08], [ 7.9162e-09, 1.3970e-09, 4.1816e-07, ..., 1.7416e-07, 0.0000e+00, 5.1223e-09]], device='cuda:0') Epoch 298, bias, value: tensor([-0.0261, -0.0237, -0.0441, 0.0034, 0.0065, 0.0420, 0.0194, -0.0178, -0.0097, -0.0124], device='cuda:0'), grad: tensor([-3.9581e-08, -8.8476e-08, 7.4971e-08, 1.4342e-07, -9.5926e-07, -4.1239e-06, 3.5688e-06, 4.5635e-08, 5.2433e-07, 8.4983e-07], device='cuda:0') 100 0.0001 changing lr epoch 297, time 213.79, cls_loss 0.0010 cls_loss_mapping 0.0015 cls_loss_causal 0.4543 re_mapping 0.0041 re_causal 0.0117 /// teacc 99.01 lr 0.00010000 Epoch 299, weight, value: tensor([[ 0.0232, -0.1066, -0.0923, ..., -0.2335, -0.0943, -0.1966], [-0.0945, -0.0628, -0.0126, ..., 0.0447, 0.0322, -0.1343], [ 0.0243, -0.1668, -0.2204, ..., 0.0156, -0.1540, 0.0813], ..., [-0.0302, -0.0239, -0.2027, ..., -0.1844, 0.0200, 0.1589], [ 0.0746, -0.1434, -0.1317, ..., -0.1809, -0.1129, -0.1647], [-0.2399, 0.0280, 0.1159, ..., 0.0894, -0.0942, -0.1802]], device='cuda:0'), grad: tensor([[-4.6566e-10, 4.6566e-10, 6.5193e-09, ..., 4.1910e-09, 0.0000e+00, 1.8626e-09], [ 0.0000e+00, 4.1910e-08, 1.5832e-08, ..., 8.8476e-09, 0.0000e+00, 1.2014e-07], [ 0.0000e+00, 3.2596e-09, 1.3970e-09, ..., 2.3283e-09, 0.0000e+00, 1.2107e-08], ..., [ 0.0000e+00, -6.1002e-08, 2.0955e-08, ..., 1.8161e-08, 0.0000e+00, -9.7603e-07], [ 1.8626e-09, 3.2596e-09, 6.9849e-09, ..., 4.9360e-08, 0.0000e+00, 9.3132e-09], [ 9.3132e-10, 4.9360e-08, 3.3248e-07, ..., 2.0722e-07, 0.0000e+00, 2.5099e-07]], device='cuda:0') Epoch 299, bias, value: tensor([-0.0283, -0.0239, -0.0441, 0.0026, 0.0065, 0.0428, 0.0205, -0.0181, -0.0099, -0.0122], device='cuda:0'), grad: tensor([-4.1910e-09, 3.2410e-07, 2.9802e-08, 1.3923e-06, -1.4901e-08, -1.3504e-06, 7.7765e-08, -1.8487e-06, 1.7090e-07, 1.2331e-06], device='cuda:0') 100 0.0001 changing lr epoch 298, time 213.96, cls_loss 0.0007 cls_loss_mapping 0.0012 cls_loss_causal 0.4882 re_mapping 0.0039 re_causal 0.0121 /// teacc 99.09 lr 0.00010000