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log_kecg.txt
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log_kecg.txt
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loading raw data...
-----dataset summary-----
dataset: data/DBP15K/zh_en
triple num: 165556
entity num: 38960
relation num: 3024
train ill num: 4500 test ill num: 10500
-------------------------
getting a sparse tensor r_adj...
GAT(
(layer_stack): ModuleList(
(0): MultiHeadGraphAttention (128 -> 128) * 2 heads
(1): MultiHeadGraphAttention (128 -> 128) * 2 heads
)
)
Adagrad (
Parameter Group 0
initial_accumulator_value: 0
lr: 0.005
lr_decay: 0
weight_decay: 0
)
training...
train pos/neg_pairs shape: torch.Size([112500])
loss_CG in epoch 0: 2.997608, time: 0.8841 s
train pos/neg_triples shape: torch.Size([331112, 3])
loss_KE in epoch 1: 3.002274, time: 8.6430 s
loss_CG in epoch 2: 2.987718, time: 0.8887 s
loss_KE in epoch 3: 2.652616, time: 1.0468 s
loss_CG in epoch 4: 2.960235, time: 0.9003 s
loss_KE in epoch 5: 2.441905, time: 1.0523 s
loss_CG in epoch 6: 2.941794, time: 0.8924 s
loss_KE in epoch 7: 2.248851, time: 1.0494 s
loss_CG in epoch 8: 2.917310, time: 0.8966 s
loss_KE in epoch 9: 1.996315, time: 1.0480 s
loss_CG in epoch 10: 2.968048, time: 4.2791 s
loss_KE in epoch 11: 1.849490, time: 8.7760 s
loss_CG in epoch 12: 2.959574, time: 0.8877 s
loss_KE in epoch 13: 1.340490, time: 1.0744 s
loss_CG in epoch 14: 2.952516, time: 0.8972 s
loss_KE in epoch 15: 0.888252, time: 1.0665 s
loss_CG in epoch 16: 2.946906, time: 0.8936 s
loss_KE in epoch 17: 0.608614, time: 1.0717 s
loss_CG in epoch 18: 2.942456, time: 0.9087 s
loss_KE in epoch 19: 0.464951, time: 1.0685 s
loss_CG in epoch 20: 2.943514, time: 4.2161 s
loss_KE in epoch 21: 0.431910, time: 9.4438 s
loss_CG in epoch 22: 2.940407, time: 0.9048 s
loss_KE in epoch 23: 0.354020, time: 1.0601 s
loss_CG in epoch 24: 2.937739, time: 0.9051 s
loss_KE in epoch 25: 0.309292, time: 1.0529 s
loss_CG in epoch 26: 2.935354, time: 0.8946 s
loss_KE in epoch 27: 0.278815, time: 1.0684 s
loss_CG in epoch 28: 2.933101, time: 0.8974 s
loss_KE in epoch 29: 0.255955, time: 1.0611 s
loss_CG in epoch 30: 2.931821, time: 4.1432 s
loss_KE in epoch 31: 0.280006, time: 8.8512 s
loss_CG in epoch 32: 2.929669, time: 0.8963 s
loss_KE in epoch 33: 0.247649, time: 1.0546 s
loss_CG in epoch 34: 2.927704, time: 0.8921 s
loss_KE in epoch 35: 0.228467, time: 1.0750 s
loss_CG in epoch 36: 2.925901, time: 0.9130 s
loss_KE in epoch 37: 0.214610, time: 1.0619 s
loss_CG in epoch 38: 2.924190, time: 0.9124 s
loss_KE in epoch 39: 0.203801, time: 1.0629 s
loss_CG in epoch 40: 2.923005, time: 4.1548 s
loss_KE in epoch 41: 0.233573, time: 9.0012 s
loss_CG in epoch 42: 2.921295, time: 0.9102 s
loss_KE in epoch 43: 0.211996, time: 1.0736 s
loss_CG in epoch 44: 2.919641, time: 0.8972 s
loss_KE in epoch 45: 0.199549, time: 1.0707 s
loss_CG in epoch 46: 2.918155, time: 0.9050 s
loss_KE in epoch 47: 0.190281, time: 1.0733 s
loss_CG in epoch 48: 2.916734, time: 0.9088 s
loss_KE in epoch 49: 0.182833, time: 1.0925 s
loss_CG in epoch 50: 2.915682, time: 4.1098 s
loss_KE in epoch 51: 0.211787, time: 9.2590 s
loss_CG in epoch 52: 2.914234, time: 0.8975 s
loss_KE in epoch 53: 0.194097, time: 1.0631 s
loss_CG in epoch 54: 2.912771, time: 0.9004 s
loss_KE in epoch 55: 0.184074, time: 1.0711 s
loss_CG in epoch 56: 2.911477, time: 0.9134 s
loss_KE in epoch 57: 0.176780, time: 1.0810 s
loss_CG in epoch 58: 2.910203, time: 0.9145 s
loss_KE in epoch 59: 0.170834, time: 1.0634 s
loss_CG in epoch 60: 2.909252, time: 4.3932 s
loss_KE in epoch 61: 0.200033, time: 9.2345 s
loss_CG in epoch 62: 2.908009, time: 0.8992 s
loss_KE in epoch 63: 0.184464, time: 1.0673 s
loss_CG in epoch 64: 2.906723, time: 0.9008 s
loss_KE in epoch 65: 0.175815, time: 1.0669 s
loss_CG in epoch 66: 2.905576, time: 0.9121 s
loss_KE in epoch 67: 0.169532, time: 1.0566 s
loss_CG in epoch 68: 2.904465, time: 0.8925 s
loss_KE in epoch 69: 0.164484, time: 1.0597 s
loss_CG in epoch 70: 2.903575, time: 4.2055 s
loss_KE in epoch 71: 0.191041, time: 9.5813 s
loss_CG in epoch 72: 2.902463, time: 0.9019 s
loss_KE in epoch 73: 0.177421, time: 1.0601 s
loss_CG in epoch 74: 2.901255, time: 0.9018 s
loss_KE in epoch 75: 0.169651, time: 1.0689 s
loss_CG in epoch 76: 2.900193, time: 0.9145 s
loss_KE in epoch 77: 0.164005, time: 1.0585 s
loss_CG in epoch 78: 2.899174, time: 0.8973 s
loss_KE in epoch 79: 0.159460, time: 1.0708 s
loss_CG in epoch 80: 2.898329, time: 4.3463 s
loss_KE in epoch 81: 0.182266, time: 9.5756 s
loss_CG in epoch 82: 2.897292, time: 0.9005 s
loss_KE in epoch 83: 0.169746, time: 1.0591 s
loss_CG in epoch 84: 2.896154, time: 0.8953 s
loss_KE in epoch 85: 0.162665, time: 1.0709 s
loss_CG in epoch 86: 2.895177, time: 0.9027 s
loss_KE in epoch 87: 0.157513, time: 1.0901 s
loss_CG in epoch 88: 2.894207, time: 0.9129 s
loss_KE in epoch 89: 0.153385, time: 1.0597 s
loss_CG in epoch 90: 2.893418, time: 4.1822 s
loss_KE in epoch 91: 0.179177, time: 8.9902 s
loss_CG in epoch 92: 2.892453, time: 0.9106 s
loss_KE in epoch 93: 0.167535, time: 1.0696 s
loss_CG in epoch 94: 2.891391, time: 0.8953 s
loss_KE in epoch 95: 0.160899, time: 1.0532 s
loss_CG in epoch 96: 2.890487, time: 0.8981 s
loss_KE in epoch 97: 0.156041, time: 1.0686 s
loss_CG in epoch 98: 2.889600, time: 0.9109 s
loss_KE in epoch 99: 0.152140, time: 1.0553 s
epoch 99, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4014 0.6788 0.7769 0.9116 0.9393], mr = 93.566, mrr = 0.527, time = 6.4544 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.3779 0.648 0.7407 0.8866 0.9203], mr = 119.067, mrr = 0.500, time = 6.4548 s
loss_CG in epoch 100: 2.888859, time: 4.0481 s
loss_KE in epoch 101: 0.175077, time: 8.7676 s
loss_CG in epoch 102: 2.887954, time: 0.9098 s
loss_KE in epoch 103: 0.164283, time: 1.0647 s
loss_CG in epoch 104: 2.886943, time: 0.9046 s
loss_KE in epoch 105: 0.158030, time: 1.0580 s
loss_CG in epoch 106: 2.886078, time: 0.9026 s
loss_KE in epoch 107: 0.153423, time: 1.0644 s
loss_CG in epoch 108: 2.885228, time: 0.9029 s
loss_KE in epoch 109: 0.149731, time: 1.0550 s
loss_CG in epoch 110: 2.884523, time: 4.1981 s
loss_KE in epoch 111: 0.170485, time: 8.9202 s
loss_CG in epoch 112: 2.883670, time: 0.8948 s
loss_KE in epoch 113: 0.160267, time: 1.0670 s
loss_CG in epoch 114: 2.882687, time: 0.8991 s
loss_KE in epoch 115: 0.154256, time: 1.0560 s
loss_CG in epoch 116: 2.881856, time: 0.8980 s
loss_KE in epoch 117: 0.149876, time: 1.0772 s
loss_CG in epoch 118: 2.881040, time: 0.9023 s
loss_KE in epoch 119: 0.146376, time: 1.0687 s
loss_CG in epoch 120: 2.880356, time: 4.3379 s
loss_KE in epoch 121: 0.167838, time: 9.3045 s
loss_CG in epoch 122: 2.879539, time: 0.9159 s
loss_KE in epoch 123: 0.158232, time: 1.0606 s
loss_CG in epoch 124: 2.878554, time: 0.9068 s
loss_KE in epoch 125: 0.152481, time: 1.0677 s
loss_CG in epoch 126: 2.877761, time: 0.9057 s
loss_KE in epoch 127: 0.148273, time: 1.0653 s
loss_CG in epoch 128: 2.876966, time: 0.9032 s
loss_KE in epoch 129: 0.144909, time: 1.0564 s
loss_CG in epoch 130: 2.876280, time: 4.1355 s
loss_KE in epoch 131: 0.166466, time: 9.7192 s
loss_CG in epoch 132: 2.875514, time: 0.9315 s
loss_KE in epoch 133: 0.157206, time: 1.0666 s
loss_CG in epoch 134: 2.874583, time: 0.9084 s
loss_KE in epoch 135: 0.151638, time: 1.0818 s
loss_CG in epoch 136: 2.873821, time: 0.8987 s
loss_KE in epoch 137: 0.147561, time: 1.0655 s
loss_CG in epoch 138: 2.873063, time: 0.8997 s
loss_KE in epoch 139: 0.144325, time: 1.0653 s
loss_CG in epoch 140: 2.872396, time: 4.4199 s
loss_KE in epoch 141: 0.164907, time: 9.4513 s
loss_CG in epoch 142: 2.871618, time: 0.9159 s
loss_KE in epoch 143: 0.156350, time: 1.0679 s
loss_CG in epoch 144: 2.870690, time: 0.9009 s
loss_KE in epoch 145: 0.151106, time: 1.0580 s
loss_CG in epoch 146: 2.869937, time: 0.8964 s
loss_KE in epoch 147: 0.147190, time: 1.0611 s
loss_CG in epoch 148: 2.869197, time: 0.8945 s
loss_KE in epoch 149: 0.144089, time: 1.0788 s
loss_CG in epoch 150: 2.868526, time: 4.6367 s
loss_KE in epoch 151: 0.164411, time: 9.6595 s
loss_CG in epoch 152: 2.867771, time: 0.9021 s
loss_KE in epoch 153: 0.156169, time: 1.0554 s
loss_CG in epoch 154: 2.866881, time: 0.9170 s
loss_KE in epoch 155: 0.150951, time: 1.0601 s
loss_CG in epoch 156: 2.866132, time: 0.9125 s
loss_KE in epoch 157: 0.147078, time: 1.0656 s
loss_CG in epoch 158: 2.865422, time: 0.9008 s
loss_KE in epoch 159: 0.143989, time: 1.0694 s
loss_CG in epoch 160: 2.864757, time: 4.5900 s
loss_KE in epoch 161: 0.162556, time: 9.5934 s
loss_CG in epoch 162: 2.864038, time: 0.8943 s
loss_KE in epoch 163: 0.154853, time: 1.0705 s
loss_CG in epoch 164: 2.863173, time: 0.9024 s
loss_KE in epoch 165: 0.149969, time: 1.0766 s
loss_CG in epoch 166: 2.862453, time: 0.8950 s
loss_KE in epoch 167: 0.146326, time: 1.0953 s
loss_CG in epoch 168: 2.861743, time: 0.8997 s
loss_KE in epoch 169: 0.143342, time: 1.0540 s
loss_CG in epoch 170: 2.861105, time: 4.0466 s
loss_KE in epoch 171: 0.160338, time: 9.2121 s
loss_CG in epoch 172: 2.860348, time: 0.9098 s
loss_KE in epoch 173: 0.152743, time: 1.0544 s
loss_CG in epoch 174: 2.859489, time: 0.8910 s
loss_KE in epoch 175: 0.147948, time: 1.0536 s
loss_CG in epoch 176: 2.858768, time: 0.9383 s
loss_KE in epoch 177: 0.144361, time: 1.0624 s
loss_CG in epoch 178: 2.858049, time: 0.8971 s
loss_KE in epoch 179: 0.141471, time: 1.0621 s
loss_CG in epoch 180: 2.857396, time: 4.1193 s
loss_KE in epoch 181: 0.160772, time: 9.6038 s
loss_CG in epoch 182: 2.856712, time: 0.9272 s
loss_KE in epoch 183: 0.153493, time: 1.0620 s
loss_CG in epoch 184: 2.855834, time: 0.8949 s
loss_KE in epoch 185: 0.148837, time: 1.0506 s
loss_CG in epoch 186: 2.855137, time: 0.8944 s
loss_KE in epoch 187: 0.145361, time: 1.0690 s
loss_CG in epoch 188: 2.854445, time: 0.8965 s
loss_KE in epoch 189: 0.142528, time: 1.0596 s
loss_CG in epoch 190: 2.853811, time: 4.2107 s
loss_KE in epoch 191: 0.158618, time: 9.2542 s
loss_CG in epoch 192: 2.853072, time: 0.9060 s
loss_KE in epoch 193: 0.151725, time: 1.0608 s
loss_CG in epoch 194: 2.852222, time: 0.9046 s
loss_KE in epoch 195: 0.147220, time: 1.0826 s
loss_CG in epoch 196: 2.851529, time: 0.9303 s
loss_KE in epoch 197: 0.143855, time: 1.0634 s
loss_CG in epoch 198: 2.850840, time: 0.9015 s
loss_KE in epoch 199: 0.141109, time: 1.0648 s
epoch 199, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4399 0.7141 0.8029 0.92 0.9453], mr = 85.151, mrr = 0.562, time = 6.6885 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4268 0.6925 0.7786 0.9043 0.9315], mr = 100.421, mrr = 0.546, time = 6.6890 s
loss_CG in epoch 200: 2.850199, time: 4.3101 s
loss_KE in epoch 201: 0.157390, time: 9.3523 s
loss_CG in epoch 202: 2.849501, time: 0.9028 s
loss_KE in epoch 203: 0.150801, time: 1.0700 s
loss_CG in epoch 204: 2.848655, time: 0.9070 s
loss_KE in epoch 205: 0.146485, time: 1.0607 s
loss_CG in epoch 206: 2.847970, time: 0.8960 s
loss_KE in epoch 207: 0.143215, time: 1.0536 s
loss_CG in epoch 208: 2.847285, time: 0.8930 s
loss_KE in epoch 209: 0.140538, time: 1.0613 s
loss_CG in epoch 210: 2.846647, time: 4.5971 s
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loss_CG in epoch 212: 2.845951, time: 0.9085 s
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loss_CG in epoch 214: 2.845112, time: 0.9000 s
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loss_CG in epoch 216: 2.844446, time: 0.9066 s
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loss_KE in epoch 219: 0.139985, time: 1.0616 s
loss_CG in epoch 220: 2.843132, time: 4.3276 s
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loss_CG in epoch 222: 2.842447, time: 0.9160 s
loss_KE in epoch 223: 0.150176, time: 1.0600 s
loss_CG in epoch 224: 2.841611, time: 0.9028 s
loss_KE in epoch 225: 0.146039, time: 1.0579 s
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loss_KE in epoch 231: 0.156087, time: 9.3928 s
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loss_KE in epoch 237: 0.143113, time: 1.0593 s
loss_CG in epoch 238: 2.836721, time: 0.8999 s
loss_KE in epoch 239: 0.140621, time: 1.0705 s
loss_CG in epoch 240: 2.836092, time: 4.8035 s
loss_KE in epoch 241: 0.156567, time: 10.0230 s
loss_CG in epoch 242: 2.835395, time: 0.9065 s
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loss_KE in epoch 245: 0.146931, time: 1.0748 s
loss_CG in epoch 246: 2.833912, time: 0.8925 s
loss_KE in epoch 247: 0.143939, time: 1.0863 s
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loss_KE in epoch 249: 0.141497, time: 1.0803 s
loss_CG in epoch 250: 2.832605, time: 4.6774 s
loss_KE in epoch 251: 0.155026, time: 9.6930 s
loss_CG in epoch 252: 2.831918, time: 0.9100 s
loss_KE in epoch 253: 0.149531, time: 1.0875 s
loss_CG in epoch 254: 2.831093, time: 0.9274 s
loss_KE in epoch 255: 0.145764, time: 1.0622 s
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loss_KE in epoch 257: 0.142859, time: 1.0569 s
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loss_KE in epoch 261: 0.154055, time: 9.4761 s
loss_CG in epoch 262: 2.828409, time: 0.9030 s
loss_KE in epoch 263: 0.148873, time: 1.0905 s
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loss_KE in epoch 265: 0.145269, time: 1.0645 s
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loss_KE in epoch 267: 0.142455, time: 1.0651 s
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loss_KE in epoch 269: 0.140138, time: 1.0542 s
loss_CG in epoch 270: 2.825607, time: 4.5953 s
loss_KE in epoch 271: 0.154304, time: 9.3607 s
loss_CG in epoch 272: 2.824892, time: 0.9006 s
loss_KE in epoch 273: 0.149278, time: 1.0693 s
loss_CG in epoch 274: 2.824080, time: 0.9022 s
loss_KE in epoch 275: 0.145730, time: 1.0785 s
loss_CG in epoch 276: 2.823427, time: 0.9223 s
loss_KE in epoch 277: 0.142981, time: 1.0721 s
loss_CG in epoch 278: 2.822745, time: 0.8994 s
loss_KE in epoch 279: 0.140715, time: 1.0746 s
loss_CG in epoch 280: 2.822111, time: 4.3223 s
loss_KE in epoch 281: 0.154233, time: 9.5779 s
loss_CG in epoch 282: 2.821418, time: 0.9079 s
loss_KE in epoch 283: 0.149189, time: 1.0633 s
loss_CG in epoch 284: 2.820628, time: 0.8971 s
loss_KE in epoch 285: 0.145627, time: 1.0876 s
loss_CG in epoch 286: 2.819966, time: 0.9160 s
loss_KE in epoch 287: 0.142860, time: 1.0758 s
loss_CG in epoch 288: 2.819294, time: 0.9055 s
loss_KE in epoch 289: 0.140575, time: 1.0662 s
loss_CG in epoch 290: 2.818663, time: 4.5481 s
loss_KE in epoch 291: 0.153338, time: 9.7311 s
loss_CG in epoch 292: 2.817975, time: 0.9113 s
loss_KE in epoch 293: 0.148560, time: 1.0675 s
loss_CG in epoch 294: 2.817181, time: 0.9068 s
loss_KE in epoch 295: 0.145162, time: 1.0667 s
loss_CG in epoch 296: 2.816528, time: 0.8981 s
loss_KE in epoch 297: 0.142508, time: 1.0743 s
loss_CG in epoch 298: 2.815853, time: 0.9085 s
loss_KE in epoch 299: 0.140305, time: 1.0727 s
epoch 299, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4529 0.7264 0.813 0.9235 0.9478], mr = 81.260, mrr = 0.575, time = 6.7189 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4435 0.7077 0.7952 0.911 0.936 ], mr = 91.198, mrr = 0.562, time = 6.7194 s
loss_CG in epoch 300: 2.815225, time: 4.6528 s
loss_KE in epoch 301: 0.152076, time: 9.4652 s
loss_CG in epoch 302: 2.814496, time: 0.9013 s
loss_KE in epoch 303: 0.147504, time: 1.0601 s
loss_CG in epoch 304: 2.813706, time: 0.9046 s
loss_KE in epoch 305: 0.144243, time: 1.0737 s
loss_CG in epoch 306: 2.813033, time: 0.9112 s
loss_KE in epoch 307: 0.141664, time: 1.0658 s
loss_CG in epoch 308: 2.812359, time: 0.9210 s
loss_KE in epoch 309: 0.139517, time: 1.0758 s
loss_CG in epoch 310: 2.811713, time: 4.1614 s
loss_KE in epoch 311: 0.152567, time: 9.3360 s
loss_CG in epoch 312: 2.811015, time: 0.8996 s
loss_KE in epoch 313: 0.148166, time: 1.0607 s
loss_CG in epoch 314: 2.810220, time: 0.9061 s
loss_KE in epoch 315: 0.144969, time: 1.0724 s
loss_CG in epoch 316: 2.809555, time: 0.9120 s
loss_KE in epoch 317: 0.142434, time: 1.0545 s
loss_CG in epoch 318: 2.808864, time: 0.9053 s
loss_KE in epoch 319: 0.140308, time: 1.0769 s
loss_CG in epoch 320: 2.808213, time: 4.1204 s
loss_KE in epoch 321: 0.152945, time: 9.7532 s
loss_CG in epoch 322: 2.807502, time: 0.9010 s
loss_KE in epoch 323: 0.148615, time: 1.0716 s
loss_CG in epoch 324: 2.806718, time: 0.9032 s
loss_KE in epoch 325: 0.145448, time: 1.0784 s
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loss_CG in epoch 330: 2.804743, time: 4.2721 s
loss_KE in epoch 331: 0.152772, time: 9.1453 s
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loss_KE in epoch 333: 0.148612, time: 1.0585 s
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loss_KE in epoch 335: 0.145560, time: 1.0617 s
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loss_KE in epoch 337: 0.143128, time: 1.0588 s
loss_CG in epoch 338: 2.801877, time: 0.8999 s
loss_KE in epoch 339: 0.141100, time: 1.0575 s
loss_CG in epoch 340: 2.801219, time: 4.2980 s
loss_KE in epoch 341: 0.152750, time: 12.0187 s
loss_CG in epoch 342: 2.800504, time: 0.8995 s
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loss_KE in epoch 355: 0.145006, time: 1.0705 s
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loss_KE in epoch 357: 0.142657, time: 1.0901 s
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loss_CG in epoch 360: 2.794177, time: 4.2105 s
loss_KE in epoch 361: 0.152962, time: 9.3059 s
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loss_KE in epoch 367: 0.143989, time: 1.0591 s
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loss_CG in epoch 370: 2.790649, time: 4.3603 s
loss_KE in epoch 371: 0.151410, time: 9.3324 s
loss_CG in epoch 372: 2.789922, time: 0.9022 s
loss_KE in epoch 373: 0.147768, time: 1.0715 s
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loss_KE in epoch 375: 0.145007, time: 1.0769 s
loss_CG in epoch 376: 2.788471, time: 0.8993 s
loss_KE in epoch 377: 0.142769, time: 1.0714 s
loss_CG in epoch 378: 2.787773, time: 0.9048 s
loss_KE in epoch 379: 0.140876, time: 1.0680 s
loss_CG in epoch 380: 2.787108, time: 4.1162 s
loss_KE in epoch 381: 0.152369, time: 9.0920 s
loss_CG in epoch 382: 2.786367, time: 0.9017 s
loss_KE in epoch 383: 0.148717, time: 1.0614 s
loss_CG in epoch 384: 2.785581, time: 0.9029 s
loss_KE in epoch 385: 0.145973, time: 1.0667 s
loss_CG in epoch 386: 2.784900, time: 0.9041 s
loss_KE in epoch 387: 0.143780, time: 1.0771 s
loss_CG in epoch 388: 2.784202, time: 0.9032 s
loss_KE in epoch 389: 0.141922, time: 1.0717 s
loss_CG in epoch 390: 2.783524, time: 4.6803 s
loss_KE in epoch 391: 0.152832, time: 9.0771 s
loss_CG in epoch 392: 2.782786, time: 0.9040 s
loss_KE in epoch 393: 0.149268, time: 1.0707 s
loss_CG in epoch 394: 2.781999, time: 0.8996 s
loss_KE in epoch 395: 0.146561, time: 1.0685 s
loss_CG in epoch 396: 2.781329, time: 0.8967 s
loss_KE in epoch 397: 0.144352, time: 1.0704 s
loss_CG in epoch 398: 2.780616, time: 0.9022 s
loss_KE in epoch 399: 0.142492, time: 1.0570 s
epoch 399, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4607 0.7354 0.8194 0.9256 0.9492], mr = 78.978, mrr = 0.583, time = 6.7077 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4526 0.7206 0.8045 0.9143 0.9403], mr = 84.519, mrr = 0.572, time = 6.7081 s
loss_CG in epoch 400: 2.779948, time: 4.0283 s
loss_KE in epoch 401: 0.152246, time: 8.9637 s
loss_CG in epoch 402: 2.779203, time: 0.8978 s
loss_KE in epoch 403: 0.148836, time: 1.0778 s
loss_CG in epoch 404: 2.778427, time: 0.9075 s
loss_KE in epoch 405: 0.146230, time: 1.0642 s
loss_CG in epoch 406: 2.777740, time: 0.8975 s
loss_KE in epoch 407: 0.144057, time: 1.0905 s
loss_CG in epoch 408: 2.777036, time: 0.9001 s
loss_KE in epoch 409: 0.142241, time: 1.0641 s
loss_CG in epoch 410: 2.776356, time: 4.8462 s
loss_KE in epoch 411: 0.150219, time: 9.3100 s
loss_CG in epoch 412: 2.775597, time: 0.9071 s
loss_KE in epoch 413: 0.146962, time: 1.0755 s
loss_CG in epoch 414: 2.774797, time: 0.9086 s
loss_KE in epoch 415: 0.144434, time: 1.0599 s
loss_CG in epoch 416: 2.774117, time: 0.9077 s
loss_KE in epoch 417: 0.142343, time: 1.0735 s
loss_CG in epoch 418: 2.773395, time: 0.9003 s
loss_KE in epoch 419: 0.140578, time: 1.0529 s
loss_CG in epoch 420: 2.772714, time: 4.1521 s
loss_KE in epoch 421: 0.152778, time: 9.9233 s
loss_CG in epoch 422: 2.771957, time: 0.9099 s
loss_KE in epoch 423: 0.149592, time: 1.0721 s
loss_CG in epoch 424: 2.771193, time: 0.9029 s
loss_KE in epoch 425: 0.147109, time: 1.0647 s
loss_CG in epoch 426: 2.770511, time: 0.9018 s
loss_KE in epoch 427: 0.145053, time: 1.0583 s
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loss_KE in epoch 429: 0.143306, time: 1.0719 s
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loss_KE in epoch 431: 0.152732, time: 9.1120 s
loss_CG in epoch 432: 2.768369, time: 0.9076 s
loss_KE in epoch 433: 0.149492, time: 1.0718 s
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loss_KE in epoch 435: 0.146986, time: 1.0594 s
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loss_KE in epoch 437: 0.144927, time: 1.0595 s
loss_CG in epoch 438: 2.766176, time: 0.8999 s
loss_KE in epoch 439: 0.143175, time: 1.0808 s
loss_CG in epoch 440: 2.765488, time: 4.9144 s
loss_KE in epoch 441: 0.151495, time: 10.5418 s
loss_CG in epoch 442: 2.764732, time: 0.9078 s
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loss_KE in epoch 445: 0.145997, time: 1.0741 s
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loss_KE in epoch 457: 0.144636, time: 1.0609 s
loss_CG in epoch 458: 2.758897, time: 0.9014 s
loss_KE in epoch 459: 0.142997, time: 1.0601 s
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loss_KE in epoch 461: 0.152381, time: 9.9104 s
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loss_KE in epoch 463: 0.149473, time: 1.0720 s
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loss_KE in epoch 467: 0.145292, time: 1.0687 s
loss_CG in epoch 468: 2.755210, time: 0.8969 s
loss_KE in epoch 469: 0.143653, time: 1.0732 s
loss_CG in epoch 470: 2.754504, time: 4.3530 s
loss_KE in epoch 471: 0.150594, time: 9.4990 s
loss_CG in epoch 472: 2.753739, time: 0.8989 s
loss_KE in epoch 473: 0.147759, time: 1.0809 s
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loss_KE in epoch 475: 0.145547, time: 1.0748 s
loss_CG in epoch 476: 2.752239, time: 0.8923 s
loss_KE in epoch 477: 0.143697, time: 1.0608 s
loss_CG in epoch 478: 2.751501, time: 0.8976 s
loss_KE in epoch 479: 0.142102, time: 1.0726 s
loss_CG in epoch 480: 2.750804, time: 4.7043 s
loss_KE in epoch 481: 0.152557, time: 9.1459 s
loss_CG in epoch 482: 2.750024, time: 0.9131 s
loss_KE in epoch 483: 0.149798, time: 1.0863 s
loss_CG in epoch 484: 2.749223, time: 0.9129 s
loss_KE in epoch 485: 0.147611, time: 1.0652 s
loss_CG in epoch 486: 2.748515, time: 0.9129 s
loss_KE in epoch 487: 0.145763, time: 1.0833 s
loss_CG in epoch 488: 2.747773, time: 0.9111 s
loss_KE in epoch 489: 0.144159, time: 1.0810 s
loss_CG in epoch 490: 2.747058, time: 4.3055 s
loss_KE in epoch 491: 0.151522, time: 9.1963 s
loss_CG in epoch 492: 2.746271, time: 0.9266 s
loss_KE in epoch 493: 0.148840, time: 1.0721 s
loss_CG in epoch 494: 2.745476, time: 0.9137 s
loss_KE in epoch 495: 0.146711, time: 1.0676 s
loss_CG in epoch 496: 2.744774, time: 0.9120 s
loss_KE in epoch 497: 0.144934, time: 1.0680 s
loss_CG in epoch 498: 2.744028, time: 0.9040 s
loss_KE in epoch 499: 0.143395, time: 1.0692 s
epoch 499, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4632 0.7396 0.8237 0.9285 0.95 ], mr = 76.782, mrr = 0.586, time = 6.5992 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4608 0.7283 0.8107 0.918 0.9419], mr = 79.509, mrr = 0.579, time = 6.5996 s
loss_CG in epoch 500: 2.743320, time: 4.1782 s
loss_KE in epoch 501: 0.151519, time: 9.6126 s
loss_CG in epoch 502: 2.742528, time: 0.9078 s
loss_KE in epoch 503: 0.148896, time: 1.0720 s
loss_CG in epoch 504: 2.741729, time: 0.9018 s
loss_KE in epoch 505: 0.146789, time: 1.0726 s
loss_CG in epoch 506: 2.741006, time: 0.9111 s
loss_KE in epoch 507: 0.145025, time: 1.0655 s
loss_CG in epoch 508: 2.740264, time: 0.9179 s
loss_KE in epoch 509: 0.143506, time: 1.0628 s
loss_CG in epoch 510: 2.739543, time: 4.1862 s
loss_KE in epoch 511: 0.151781, time: 9.5318 s
loss_CG in epoch 512: 2.738736, time: 0.9039 s
loss_KE in epoch 513: 0.149221, time: 1.0748 s
loss_CG in epoch 514: 2.737934, time: 0.9127 s
loss_KE in epoch 515: 0.147170, time: 1.0649 s
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loss_KE in epoch 517: 0.145431, time: 1.0800 s
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loss_KE in epoch 519: 0.143915, time: 1.0686 s
loss_CG in epoch 520: 2.735723, time: 4.1945 s
loss_KE in epoch 521: 0.152194, time: 9.5015 s
loss_CG in epoch 522: 2.734933, time: 0.9087 s
loss_KE in epoch 523: 0.149663, time: 1.0778 s
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loss_KE in epoch 525: 0.147621, time: 1.0642 s
loss_CG in epoch 526: 2.733400, time: 0.9032 s
loss_KE in epoch 527: 0.145919, time: 1.0701 s
loss_CG in epoch 528: 2.732648, time: 0.9133 s
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loss_KE in epoch 531: 0.151203, time: 9.4455 s
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loss_CG in epoch 558: 2.721109, time: 0.9044 s
loss_KE in epoch 559: 0.145063, time: 1.0651 s
loss_CG in epoch 560: 2.720358, time: 4.4091 s
loss_KE in epoch 561: 0.152297, time: 8.7641 s
loss_CG in epoch 562: 2.719553, time: 0.9331 s
loss_KE in epoch 563: 0.149983, time: 1.0588 s
loss_CG in epoch 564: 2.718739, time: 0.9022 s
loss_KE in epoch 565: 0.148094, time: 1.0593 s
loss_CG in epoch 566: 2.717987, time: 0.8992 s
loss_KE in epoch 567: 0.146484, time: 1.0649 s
loss_CG in epoch 568: 2.717216, time: 0.9082 s
loss_KE in epoch 569: 0.145081, time: 1.0611 s
loss_CG in epoch 570: 2.716456, time: 4.3364 s
loss_KE in epoch 571: 0.152364, time: 9.2178 s
loss_CG in epoch 572: 2.715641, time: 0.8978 s
loss_KE in epoch 573: 0.150100, time: 1.0579 s
loss_CG in epoch 574: 2.714830, time: 0.8950 s
loss_KE in epoch 575: 0.148247, time: 1.0573 s
loss_CG in epoch 576: 2.714091, time: 0.9014 s
loss_KE in epoch 577: 0.146679, time: 1.0665 s
loss_CG in epoch 578: 2.713308, time: 0.9128 s
loss_KE in epoch 579: 0.145302, time: 1.0693 s
loss_CG in epoch 580: 2.712562, time: 4.1325 s
loss_KE in epoch 581: 0.153323, time: 9.7049 s
loss_CG in epoch 582: 2.711726, time: 0.9131 s
loss_KE in epoch 583: 0.151091, time: 1.0726 s
loss_CG in epoch 584: 2.710915, time: 0.9030 s
loss_KE in epoch 585: 0.149273, time: 1.0602 s
loss_CG in epoch 586: 2.710147, time: 0.9061 s
loss_KE in epoch 587: 0.147722, time: 1.0614 s
loss_CG in epoch 588: 2.709368, time: 0.9161 s
loss_KE in epoch 589: 0.146369, time: 1.0711 s
loss_CG in epoch 590: 2.708591, time: 4.2581 s
loss_KE in epoch 591: 0.152314, time: 9.0857 s
loss_CG in epoch 592: 2.707761, time: 0.8981 s
loss_KE in epoch 593: 0.150145, time: 1.0676 s
loss_CG in epoch 594: 2.706940, time: 0.9004 s
loss_KE in epoch 595: 0.148360, time: 1.0747 s
loss_CG in epoch 596: 2.706187, time: 0.9172 s
loss_KE in epoch 597: 0.146842, time: 1.0759 s
loss_CG in epoch 598: 2.705393, time: 0.8981 s
loss_KE in epoch 599: 0.145515, time: 1.0702 s
epoch 599, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4654 0.744 0.8263 0.9303 0.9504], mr = 76.191, mrr = 0.588, time = 6.3862 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4647 0.7339 0.8151 0.9197 0.9435], mr = 75.196, mrr = 0.584, time = 6.3867 s
loss_CG in epoch 600: 2.704623, time: 4.1496 s
loss_KE in epoch 601: 0.152676, time: 9.6445 s
loss_CG in epoch 602: 2.703788, time: 0.9171 s
loss_KE in epoch 603: 0.150547, time: 1.0614 s
loss_CG in epoch 604: 2.702971, time: 0.9013 s
loss_KE in epoch 605: 0.148803, time: 1.0649 s
loss_CG in epoch 606: 2.702197, time: 0.9058 s
loss_KE in epoch 607: 0.147318, time: 1.0666 s
loss_CG in epoch 608: 2.701408, time: 0.9062 s
loss_KE in epoch 609: 0.146009, time: 1.0775 s
loss_CG in epoch 610: 2.700629, time: 4.3261 s
loss_KE in epoch 611: 0.153127, time: 9.3630 s
loss_CG in epoch 612: 2.699797, time: 0.8975 s
loss_KE in epoch 613: 0.151068, time: 1.0552 s
loss_CG in epoch 614: 2.698952, time: 0.8949 s
loss_KE in epoch 615: 0.149367, time: 1.0595 s
loss_CG in epoch 616: 2.698179, time: 0.8974 s
loss_KE in epoch 617: 0.147911, time: 1.0834 s
loss_CG in epoch 618: 2.697373, time: 0.9235 s
loss_KE in epoch 619: 0.146631, time: 1.0631 s
loss_CG in epoch 620: 2.696594, time: 4.1306 s
loss_KE in epoch 621: 0.154167, time: 9.4888 s
loss_CG in epoch 622: 2.695752, time: 0.8992 s
loss_KE in epoch 623: 0.152135, time: 1.0577 s
loss_CG in epoch 624: 2.694923, time: 0.8965 s
loss_KE in epoch 625: 0.150449, time: 1.0813 s
loss_CG in epoch 626: 2.694149, time: 0.9101 s
loss_KE in epoch 627: 0.149005, time: 1.0732 s
loss_CG in epoch 628: 2.693343, time: 0.8991 s
loss_KE in epoch 629: 0.147739, time: 1.0741 s
loss_CG in epoch 630: 2.692558, time: 4.3622 s
loss_KE in epoch 631: 0.151862, time: 9.8348 s
loss_CG in epoch 632: 2.691720, time: 0.9021 s
loss_KE in epoch 633: 0.149891, time: 1.0624 s
loss_CG in epoch 634: 2.690880, time: 0.9046 s
loss_KE in epoch 635: 0.148258, time: 1.0550 s
loss_CG in epoch 636: 2.690114, time: 0.9027 s
loss_KE in epoch 637: 0.146843, time: 1.0738 s
loss_CG in epoch 638: 2.689301, time: 0.9105 s
loss_KE in epoch 639: 0.145596, time: 1.0787 s
loss_CG in epoch 640: 2.688517, time: 4.1840 s
loss_KE in epoch 641: 0.153735, time: 9.4118 s
loss_CG in epoch 642: 2.687654, time: 0.9039 s
loss_KE in epoch 643: 0.151809, time: 1.0617 s
loss_CG in epoch 644: 2.686811, time: 0.9059 s
loss_KE in epoch 645: 0.150195, time: 1.0656 s
loss_CG in epoch 646: 2.686032, time: 0.9203 s
loss_KE in epoch 647: 0.148809, time: 1.0639 s
loss_CG in epoch 648: 2.685215, time: 0.9101 s
loss_KE in epoch 649: 0.147579, time: 1.0745 s
loss_CG in epoch 650: 2.684420, time: 4.2045 s
loss_KE in epoch 651: 0.152054, time: 9.5666 s
loss_CG in epoch 652: 2.683579, time: 0.9009 s
loss_KE in epoch 653: 0.150150, time: 1.0669 s
loss_CG in epoch 654: 2.682729, time: 0.9017 s
loss_KE in epoch 655: 0.148559, time: 1.0630 s
loss_CG in epoch 656: 2.681947, time: 0.9181 s
loss_KE in epoch 657: 0.147185, time: 1.0616 s
loss_CG in epoch 658: 2.681119, time: 0.9038 s
loss_KE in epoch 659: 0.145963, time: 1.0767 s
loss_CG in epoch 660: 2.680333, time: 4.2490 s
loss_KE in epoch 661: 0.152640, time: 9.2622 s
loss_CG in epoch 662: 2.679466, time: 0.8960 s
loss_KE in epoch 663: 0.150790, time: 1.0857 s
loss_CG in epoch 664: 2.678623, time: 0.9011 s
loss_KE in epoch 665: 0.149246, time: 1.0582 s
loss_CG in epoch 666: 2.677832, time: 0.9133 s
loss_KE in epoch 667: 0.147910, time: 1.0708 s
loss_CG in epoch 668: 2.677004, time: 0.8988 s
loss_KE in epoch 669: 0.146725, time: 1.0585 s
loss_CG in epoch 670: 2.676195, time: 4.0612 s
loss_KE in epoch 671: 0.153014, time: 10.0921 s
loss_CG in epoch 672: 2.675327, time: 0.8913 s
loss_KE in epoch 673: 0.151242, time: 1.0564 s
loss_CG in epoch 674: 2.674469, time: 0.8933 s
loss_KE in epoch 675: 0.149764, time: 1.0781 s
loss_CG in epoch 676: 2.673668, time: 0.9110 s
loss_KE in epoch 677: 0.148479, time: 1.0725 s
loss_CG in epoch 678: 2.672834, time: 0.9012 s
loss_KE in epoch 679: 0.147338, time: 1.0538 s
loss_CG in epoch 680: 2.672011, time: 4.1698 s
loss_KE in epoch 681: 0.153524, time: 9.0730 s
loss_CG in epoch 682: 2.671145, time: 0.9251 s
loss_KE in epoch 683: 0.151737, time: 1.0743 s
loss_CG in epoch 684: 2.670291, time: 0.9057 s
loss_KE in epoch 685: 0.150246, time: 1.0599 s
loss_CG in epoch 686: 2.669487, time: 0.9065 s
loss_KE in epoch 687: 0.148946, time: 1.0633 s
loss_CG in epoch 688: 2.668652, time: 0.9033 s
loss_KE in epoch 689: 0.147791, time: 1.0833 s
loss_CG in epoch 690: 2.667830, time: 4.4084 s
loss_KE in epoch 691: 0.153970, time: 8.9806 s
loss_CG in epoch 692: 2.666978, time: 0.9045 s
loss_KE in epoch 693: 0.152194, time: 1.0604 s
loss_CG in epoch 694: 2.666114, time: 0.9075 s
loss_KE in epoch 695: 0.150692, time: 1.0622 s
loss_CG in epoch 696: 2.665325, time: 0.9074 s
loss_KE in epoch 697: 0.149390, time: 1.0749 s
loss_CG in epoch 698: 2.664478, time: 0.9140 s
loss_KE in epoch 699: 0.148238, time: 1.0816 s
epoch 699, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4714 0.7464 0.829 0.9319 0.9511], mr = 74.782, mrr = 0.593, time = 6.3894 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4692 0.7373 0.818 0.9215 0.9447], mr = 72.457, mrr = 0.588, time = 6.3899 s
loss_CG in epoch 700: 2.663668, time: 4.3615 s
loss_KE in epoch 701: 0.153320, time: 9.2942 s
loss_CG in epoch 702: 2.662775, time: 0.9299 s
loss_KE in epoch 703: 0.151632, time: 1.0589 s
loss_CG in epoch 704: 2.661922, time: 0.8936 s
loss_KE in epoch 705: 0.150207, time: 1.0655 s
loss_CG in epoch 706: 2.661092, time: 0.9014 s
loss_KE in epoch 707: 0.148955, time: 1.0576 s
loss_CG in epoch 708: 2.660251, time: 0.9168 s
loss_KE in epoch 709: 0.147841, time: 1.0703 s
loss_CG in epoch 710: 2.659416, time: 4.1139 s
loss_KE in epoch 711: 0.154703, time: 9.1372 s
loss_CG in epoch 712: 2.658538, time: 0.8961 s
loss_KE in epoch 713: 0.152999, time: 1.0541 s
loss_CG in epoch 714: 2.657660, time: 0.9068 s
loss_KE in epoch 715: 0.151556, time: 1.0539 s
loss_CG in epoch 716: 2.656844, time: 0.9075 s
loss_KE in epoch 717: 0.150292, time: 1.0568 s
loss_CG in epoch 718: 2.655990, time: 0.8979 s
loss_KE in epoch 719: 0.149164, time: 1.0641 s
loss_CG in epoch 720: 2.655159, time: 4.2348 s
loss_KE in epoch 721: 0.155621, time: 9.3391 s
loss_CG in epoch 722: 2.654274, time: 0.9079 s
loss_KE in epoch 723: 0.153948, time: 1.0783 s
loss_CG in epoch 724: 2.653408, time: 0.9067 s
loss_KE in epoch 725: 0.152530, time: 1.0742 s
loss_CG in epoch 726: 2.652579, time: 0.9064 s
loss_KE in epoch 727: 0.151296, time: 1.0635 s
loss_CG in epoch 728: 2.651721, time: 0.9055 s
loss_KE in epoch 729: 0.150193, time: 1.0589 s
loss_CG in epoch 730: 2.650883, time: 4.0249 s
loss_KE in epoch 731: 0.155999, time: 10.0736 s
loss_CG in epoch 732: 2.649994, time: 0.9031 s
loss_KE in epoch 733: 0.154354, time: 1.0870 s
loss_CG in epoch 734: 2.649111, time: 0.9169 s
loss_KE in epoch 735: 0.152969, time: 1.0696 s
loss_CG in epoch 736: 2.648284, time: 0.9082 s
loss_KE in epoch 737: 0.151762, time: 1.0722 s
loss_CG in epoch 738: 2.647417, time: 0.9045 s
loss_KE in epoch 739: 0.150679, time: 1.0700 s
loss_CG in epoch 740: 2.646576, time: 4.0146 s
loss_KE in epoch 741: 0.155326, time: 9.0436 s
loss_CG in epoch 742: 2.645676, time: 0.8916 s
loss_KE in epoch 743: 0.153752, time: 1.0576 s
loss_CG in epoch 744: 2.644799, time: 0.9044 s
loss_KE in epoch 745: 0.152405, time: 1.0633 s
loss_CG in epoch 746: 2.643962, time: 0.9071 s
loss_KE in epoch 747: 0.151232, time: 1.0800 s
loss_CG in epoch 748: 2.643090, time: 0.9073 s
loss_KE in epoch 749: 0.150178, time: 1.0597 s
loss_CG in epoch 750: 2.642242, time: 4.0914 s
loss_KE in epoch 751: 0.154493, time: 9.0873 s
loss_CG in epoch 752: 2.641337, time: 0.9084 s
loss_KE in epoch 753: 0.152940, time: 1.0597 s
loss_CG in epoch 754: 2.640452, time: 0.9026 s
loss_KE in epoch 755: 0.151602, time: 1.0743 s
loss_CG in epoch 756: 2.639620, time: 0.8902 s
loss_KE in epoch 757: 0.150426, time: 1.0564 s
loss_CG in epoch 758: 2.638744, time: 0.9005 s
loss_KE in epoch 759: 0.149376, time: 1.0655 s
loss_CG in epoch 760: 2.637896, time: 4.9330 s
loss_KE in epoch 761: 0.154275, time: 9.6419 s
loss_CG in epoch 762: 2.636979, time: 0.8935 s
loss_KE in epoch 763: 0.152788, time: 1.0659 s
loss_CG in epoch 764: 2.636090, time: 0.8992 s
loss_KE in epoch 765: 0.151510, time: 1.0651 s
loss_CG in epoch 766: 2.635239, time: 0.9141 s
loss_KE in epoch 767: 0.150392, time: 1.0777 s
loss_CG in epoch 768: 2.634358, time: 0.9113 s
loss_KE in epoch 769: 0.149379, time: 1.0734 s
loss_CG in epoch 770: 2.633498, time: 5.0799 s
loss_KE in epoch 771: 0.154842, time: 9.6699 s
loss_CG in epoch 772: 2.632589, time: 0.9164 s
loss_KE in epoch 773: 0.153324, time: 1.0620 s
loss_CG in epoch 774: 2.631692, time: 0.9102 s
loss_KE in epoch 775: 0.152027, time: 1.0703 s
loss_CG in epoch 776: 2.630848, time: 0.9069 s
loss_KE in epoch 777: 0.150885, time: 1.0587 s
loss_CG in epoch 778: 2.629957, time: 0.8977 s
loss_KE in epoch 779: 0.149852, time: 1.0739 s
loss_CG in epoch 780: 2.629095, time: 4.6271 s
loss_KE in epoch 781: 0.155803, time: 9.3603 s
loss_CG in epoch 782: 2.628178, time: 0.8975 s
loss_KE in epoch 783: 0.154330, time: 1.0767 s
loss_CG in epoch 784: 2.627283, time: 0.9197 s
loss_KE in epoch 785: 0.153061, time: 1.0750 s
loss_CG in epoch 786: 2.626431, time: 0.9178 s
loss_KE in epoch 787: 0.151941, time: 1.0700 s
loss_CG in epoch 788: 2.625539, time: 0.9048 s
loss_KE in epoch 789: 0.150936, time: 1.0682 s
loss_CG in epoch 790: 2.624676, time: 4.9408 s
loss_KE in epoch 791: 0.156480, time: 9.6597 s
loss_CG in epoch 792: 2.623765, time: 0.8959 s
loss_KE in epoch 793: 0.155028, time: 1.0887 s
loss_CG in epoch 794: 2.622861, time: 0.9475 s
loss_KE in epoch 795: 0.153772, time: 1.0709 s
loss_CG in epoch 796: 2.622005, time: 0.8965 s
loss_KE in epoch 797: 0.152666, time: 1.0809 s
loss_CG in epoch 798: 2.621107, time: 0.9035 s
loss_KE in epoch 799: 0.151677, time: 1.0591 s
epoch 799, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.473 0.7484 0.8319 0.9311 0.9521], mr = 73.801, mrr = 0.595, time = 6.5510 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4704 0.7396 0.8198 0.9218 0.9451], mr = 70.404, mrr = 0.590, time = 6.5515 s
loss_CG in epoch 800: 2.620243, time: 4.0200 s
loss_KE in epoch 801: 0.154835, time: 9.9123 s
loss_CG in epoch 802: 2.619308, time: 0.9405 s
loss_KE in epoch 803: 0.153412, time: 1.0745 s
loss_CG in epoch 804: 2.618408, time: 0.9123 s
loss_KE in epoch 805: 0.152184, time: 1.0710 s
loss_CG in epoch 806: 2.617538, time: 0.9088 s
loss_KE in epoch 807: 0.151096, time: 1.0788 s
loss_CG in epoch 808: 2.616642, time: 0.9055 s
loss_KE in epoch 809: 0.150120, time: 1.0675 s
loss_CG in epoch 810: 2.615760, time: 4.4166 s
loss_KE in epoch 811: 0.156156, time: 9.0971 s
loss_CG in epoch 812: 2.614834, time: 0.8994 s
loss_KE in epoch 813: 0.154740, time: 1.0632 s
loss_CG in epoch 814: 2.613915, time: 0.8972 s
loss_KE in epoch 815: 0.153513, time: 1.0603 s
loss_CG in epoch 816: 2.613048, time: 0.9062 s
loss_KE in epoch 817: 0.152430, time: 1.0675 s
loss_CG in epoch 818: 2.612138, time: 0.9184 s
loss_KE in epoch 819: 0.151456, time: 1.0730 s
loss_CG in epoch 820: 2.611260, time: 4.2692 s
loss_KE in epoch 821: 0.155787, time: 9.0112 s
loss_CG in epoch 822: 2.610327, time: 0.8941 s
loss_KE in epoch 823: 0.154386, time: 1.0799 s
loss_CG in epoch 824: 2.609418, time: 0.9193 s
loss_KE in epoch 825: 0.153189, time: 1.0681 s
loss_CG in epoch 826: 2.608541, time: 0.8988 s
loss_KE in epoch 827: 0.152122, time: 1.0682 s
loss_CG in epoch 828: 2.607642, time: 0.8984 s
loss_KE in epoch 829: 0.151162, time: 1.0790 s
loss_CG in epoch 830: 2.606743, time: 4.1696 s
loss_KE in epoch 831: 0.156035, time: 9.1013 s
loss_CG in epoch 832: 2.605822, time: 0.8969 s
loss_KE in epoch 833: 0.154685, time: 1.0754 s
loss_CG in epoch 834: 2.604898, time: 0.8960 s
loss_KE in epoch 835: 0.153518, time: 1.0730 s
loss_CG in epoch 836: 2.604028, time: 0.9094 s
loss_KE in epoch 837: 0.152488, time: 1.0691 s
loss_CG in epoch 838: 2.603103, time: 0.9172 s
loss_KE in epoch 839: 0.151563, time: 1.0638 s
loss_CG in epoch 840: 2.602220, time: 4.1770 s
loss_KE in epoch 841: 0.157719, time: 9.2433 s
loss_CG in epoch 842: 2.601266, time: 0.8993 s
loss_KE in epoch 843: 0.156378, time: 1.0753 s
loss_CG in epoch 844: 2.600330, time: 0.9031 s
loss_KE in epoch 845: 0.155212, time: 1.0788 s
loss_CG in epoch 846: 2.599441, time: 0.9132 s
loss_KE in epoch 847: 0.154180, time: 1.0758 s
loss_CG in epoch 848: 2.598512, time: 0.9051 s
loss_KE in epoch 849: 0.153247, time: 1.0732 s
loss_CG in epoch 850: 2.597615, time: 4.0262 s
loss_KE in epoch 851: 0.157208, time: 9.6955 s
loss_CG in epoch 852: 2.596663, time: 0.9056 s
loss_KE in epoch 853: 0.155913, time: 1.0811 s
loss_CG in epoch 854: 2.595735, time: 0.9042 s
loss_KE in epoch 855: 0.154792, time: 1.0734 s
loss_CG in epoch 856: 2.594841, time: 0.9333 s
loss_KE in epoch 857: 0.153791, time: 1.0684 s
loss_CG in epoch 858: 2.593920, time: 0.8986 s
loss_KE in epoch 859: 0.152882, time: 1.0662 s
loss_CG in epoch 860: 2.593014, time: 4.1351 s
loss_KE in epoch 861: 0.157425, time: 8.8755 s
loss_CG in epoch 862: 2.592062, time: 0.9014 s
loss_KE in epoch 863: 0.156111, time: 1.0727 s
loss_CG in epoch 864: 2.591131, time: 0.8938 s
loss_KE in epoch 865: 0.154983, time: 1.0669 s
loss_CG in epoch 866: 2.590231, time: 0.9040 s
loss_KE in epoch 867: 0.153972, time: 1.0725 s
loss_CG in epoch 868: 2.589302, time: 0.9266 s
loss_KE in epoch 869: 0.153059, time: 1.0679 s
loss_CG in epoch 870: 2.588386, time: 4.4155 s
loss_KE in epoch 871: 0.158084, time: 9.5881 s
loss_CG in epoch 872: 2.587428, time: 0.9003 s
loss_KE in epoch 873: 0.156815, time: 1.0703 s
loss_CG in epoch 874: 2.586490, time: 0.8895 s
loss_KE in epoch 875: 0.155712, time: 1.0692 s
loss_CG in epoch 876: 2.585586, time: 0.9057 s
loss_KE in epoch 877: 0.154731, time: 1.0695 s
loss_CG in epoch 878: 2.584649, time: 0.9079 s
loss_KE in epoch 879: 0.153845, time: 1.0747 s
loss_CG in epoch 880: 2.583728, time: 4.2273 s
loss_KE in epoch 881: 0.157942, time: 9.5830 s
loss_CG in epoch 882: 2.582767, time: 0.9000 s
loss_KE in epoch 883: 0.156710, time: 1.0742 s
loss_CG in epoch 884: 2.581823, time: 0.8968 s
loss_KE in epoch 885: 0.155634, time: 1.0769 s
loss_CG in epoch 886: 2.580914, time: 0.9077 s
loss_KE in epoch 887: 0.154680, time: 1.0944 s
loss_CG in epoch 888: 2.579971, time: 0.9081 s
loss_KE in epoch 889: 0.153814, time: 1.0714 s
loss_CG in epoch 890: 2.579052, time: 4.1019 s
loss_KE in epoch 891: 0.158438, time: 9.2042 s
loss_CG in epoch 892: 2.578091, time: 0.9031 s
loss_KE in epoch 893: 0.157201, time: 1.0694 s
loss_CG in epoch 894: 2.577136, time: 0.9011 s
loss_KE in epoch 895: 0.156126, time: 1.0766 s
loss_CG in epoch 896: 2.576226, time: 0.9404 s
loss_KE in epoch 897: 0.155167, time: 1.0780 s
loss_CG in epoch 898: 2.575277, time: 0.8989 s
loss_KE in epoch 899: 0.154292, time: 1.0602 s
epoch 899, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4746 0.7517 0.8337 0.9321 0.9526], mr = 72.841, mrr = 0.596, time = 6.7373 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4738 0.7422 0.821 0.9239 0.9465], mr = 68.310, mrr = 0.592, time = 6.7378 s
loss_CG in epoch 900: 2.574353, time: 4.0421 s
loss_KE in epoch 901: 0.158842, time: 9.5443 s
loss_CG in epoch 902: 2.573379, time: 0.9188 s
loss_KE in epoch 903: 0.157635, time: 1.0711 s
loss_CG in epoch 904: 2.572422, time: 0.9116 s
loss_KE in epoch 905: 0.156578, time: 1.0649 s
loss_CG in epoch 906: 2.571507, time: 0.8998 s
loss_KE in epoch 907: 0.155648, time: 1.0713 s
loss_CG in epoch 908: 2.570548, time: 0.9118 s
loss_KE in epoch 909: 0.154803, time: 1.0590 s
loss_CG in epoch 910: 2.569621, time: 4.3837 s
loss_KE in epoch 911: 0.158959, time: 10.0849 s
loss_CG in epoch 912: 2.568634, time: 0.9035 s
loss_KE in epoch 913: 0.157753, time: 1.0523 s
loss_CG in epoch 914: 2.567691, time: 0.9152 s
loss_KE in epoch 915: 0.156721, time: 1.0832 s
loss_CG in epoch 916: 2.566760, time: 0.9097 s
loss_KE in epoch 917: 0.155793, time: 1.0896 s
loss_CG in epoch 918: 2.565810, time: 0.9062 s
loss_KE in epoch 919: 0.154946, time: 1.0697 s
loss_CG in epoch 920: 2.564868, time: 4.2154 s
loss_KE in epoch 921: 0.159003, time: 9.0200 s
loss_CG in epoch 922: 2.563886, time: 0.9311 s
loss_KE in epoch 923: 0.157815, time: 1.0798 s
loss_CG in epoch 924: 2.562916, time: 0.9041 s
loss_KE in epoch 925: 0.156777, time: 1.0597 s
loss_CG in epoch 926: 2.561990, time: 0.9141 s
loss_KE in epoch 927: 0.155856, time: 1.0602 s
loss_CG in epoch 928: 2.561020, time: 0.9046 s
loss_KE in epoch 929: 0.155018, time: 1.0717 s