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04/02 23:52:57: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/02 23:55:53: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/02 23:57:06: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/02 23:57:24: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/02 23:57:34: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/03 00:00:41: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/03 00:02:02: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/03 00:04:05: Process rank: -1, device: cuda:0, n_gpu: 0, distributed training: False, 16-bits training: False
04/03 00:04:31: loss_565: 47.4277026961335, epoch 1: 565/565
04/03 00:04:39: loss_1130: 32.8585228708993, epoch 2: 565/565 (7.87s/50step)
04/03 00:04:47: loss_1695: 23.414590015242585, epoch 3: 565/565 (7.96s/50step)
04/03 00:04:55: loss_2260: 14.302632878733947, epoch 4: 565/565 (7.88s/50step)
04/03 00:05:13: Eval loss: 2.9436969521604937, Eval time: 18.120838
04/03 00:05:13: ### EVAL RESULT: 0.521, 0.877, 0.927, 0.975 at 3
04/03 00:05:14: ### BEST RESULT: 0.521, 0.877, 0.927, 0.975 at 3
04/03 00:05:21: loss_2825: 7.5180364178345265, epoch 5: 565/565 (26.40s/50step)
04/03 00:05:29: loss_3390: 4.379837224757777, epoch 6: 565/565 (7.88s/50step)
04/03 00:05:37: loss_3955: 3.2903054418817033, epoch 7: 565/565 (7.97s/50step)
04/03 00:05:45: loss_4520: 2.8461271965398196, epoch 8: 565/565 (7.89s/50step)
04/03 00:06:03: Eval loss: 2.0460713704427085, Eval time: 17.755365
04/03 00:06:03: ### EVAL RESULT: 0.545, 0.898, 0.949, 0.983 at 7
04/03 00:06:03: ### BEST RESULT: 0.545, 0.898, 0.949, 0.983 at 7
04/03 00:06:11: loss_5085: 2.587009512217699, epoch 9: 565/565 (25.85s/50step)
04/03 00:06:19: loss_5650: 2.4264587132276687, epoch 10: 565/565 (7.88s/50step)
04/03 00:06:27: loss_6215: 2.298073638223969, epoch 11: 565/565 (7.91s/50step)
04/03 00:06:35: loss_6780: 2.1935724509500822, epoch 12: 565/565 (7.90s/50step)
04/03 00:06:52: Eval loss: 1.8317921956380208, Eval time: 17.580598
04/03 00:06:52: ### EVAL RESULT: 0.602, 0.931, 0.963, 0.987 at 11
04/03 00:06:52: ### BEST RESULT: 0.602, 0.931, 0.963, 0.987 at 11
04/03 00:07:01: loss_7345: 2.109271316823706, epoch 13: 565/565 (25.81s/50step)
04/03 00:07:09: loss_7910: 2.038887639594289, epoch 14: 565/565 (8.40s/50step)
04/03 00:07:17: loss_8475: 1.98156501613887, epoch 15: 565/565 (8.11s/50step)
04/03 00:07:25: loss_9040: 1.9327702155155417, epoch 16: 565/565 (8.16s/50step)
04/03 00:07:43: Eval loss: 1.731946403597608, Eval time: 17.553457
04/03 00:07:43: ### EVAL RESULT: 0.619, 0.946, 0.974, 0.989 at 15
04/03 00:07:43: ### BEST RESULT: 0.619, 0.946, 0.974, 0.989 at 15
04/03 00:07:51: loss_9605: 1.8914382301600634, epoch 17: 565/565 (25.45s/50step)
04/03 00:07:59: loss_10170: 1.8576702225524768, epoch 18: 565/565 (7.92s/50step)
04/03 00:08:07: loss_10735: 1.8289814991233624, epoch 19: 565/565 (8.11s/50step)
04/03 00:08:15: loss_11300: 1.7970138765014378, epoch 20: 565/565 (8.02s/50step)
04/03 00:08:33: Eval loss: 1.6770904917775848, Eval time: 18.181931
04/03 00:08:33: ### EVAL RESULT: 0.630, 0.953, 0.976, 0.988 at 19
04/03 00:08:33: ### BEST RESULT: 0.630, 0.953, 0.976, 0.988 at 19
04/03 00:08:41: loss_11865: 1.7783836124217616, epoch 21: 565/565 (26.74s/50step)
04/03 00:08:49: loss_12430: 1.754125909467714, epoch 22: 565/565 (7.95s/50step)
04/03 00:08:58: loss_12995: 1.7376666039492177, epoch 23: 565/565 (8.23s/50step)
04/03 00:09:06: loss_13560: 1.722846821557104, epoch 24: 565/565 (8.10s/50step)
04/03 00:09:24: Eval loss: 1.64164959942853, Eval time: 18.517330
04/03 00:09:24: ### EVAL RESULT: 0.650, 0.957, 0.976, 0.991 at 23
04/03 00:09:24: ### BEST RESULT: 0.650, 0.957, 0.976, 0.991 at 23
04/03 00:09:33: loss_14125: 1.7098191626304018, epoch 25: 565/565 (27.03s/50step)
04/03 00:09:41: loss_14690: 1.69529522456954, epoch 26: 565/565 (7.96s/50step)
04/03 00:09:49: loss_15255: 1.6829313231780465, epoch 27: 565/565 (8.18s/50step)
04/03 00:09:57: loss_15820: 1.675700164896197, epoch 28: 565/565 (8.23s/50step)
04/03 00:10:15: Eval loss: 1.616585248782311, Eval time: 18.240578
04/03 00:10:16: ### EVAL RESULT: 0.645, 0.960, 0.976, 0.991 at 27
04/03 00:10:16: ### BEST RESULT: 0.650, 0.957, 0.976, 0.991 at 23
04/03 00:10:24: loss_16385: 1.6671060614881261, epoch 29: 565/565 (26.64s/50step)
04/03 00:10:32: loss_16950: 1.6571657689271775, epoch 30: 565/565 (8.08s/50step)
04/03 00:10:40: loss_17515: 1.6513224361217127, epoch 31: 565/565 (7.87s/50step)
04/03 00:10:48: loss_18080: 1.6449849369251623, epoch 32: 565/565 (8.15s/50step)
04/03 00:11:06: Eval loss: 1.6044337896653165, Eval time: 18.068226
04/03 00:11:06: ### EVAL RESULT: 0.647, 0.958, 0.977, 0.991 at 31
04/03 00:11:06: ### BEST RESULT: 0.650, 0.957, 0.976, 0.991 at 23
04/03 00:11:14: loss_18645: 1.6359119396294113, epoch 33: 565/565 (26.12s/50step)
04/03 00:11:22: loss_19210: 1.6289170039438567, epoch 34: 565/565 (8.20s/50step)
04/03 00:11:31: loss_19775: 1.626409334208058, epoch 35: 565/565 (8.33s/50step)
04/03 00:11:39: loss_20340: 1.6212727837857948, epoch 36: 565/565 (8.44s/50step)
04/03 00:11:58: Eval loss: 1.597473332911362, Eval time: 18.662925
04/03 00:11:58: ### EVAL RESULT: 0.651, 0.960, 0.979, 0.990 at 35
04/03 00:11:58: ### BEST RESULT: 0.651, 0.960, 0.979, 0.990 at 35
04/03 00:12:06: loss_20905: 1.6160377658573928, epoch 37: 565/565 (27.04s/50step)
04/03 00:12:14: loss_21470: 1.6137147660804005, epoch 38: 565/565 (8.16s/50step)
04/03 00:12:22: loss_22035: 1.6081212780116934, epoch 39: 565/565 (8.05s/50step)
04/03 00:12:30: loss_22600: 1.6046182773809516, epoch 40: 565/565 (8.22s/50step)
04/03 00:12:49: Eval loss: 1.5877774085527585, Eval time: 18.279309
04/03 00:12:49: ### EVAL RESULT: 0.654, 0.962, 0.980, 0.991 at 39
04/03 00:12:49: ### BEST RESULT: 0.654, 0.962, 0.980, 0.991 at 39
04/03 00:12:57: loss_23165: 1.600063103701161, epoch 41: 565/565 (26.47s/50step)
04/03 00:13:05: loss_23730: 1.5980226278305054, epoch 42: 565/565 (7.98s/50step)
04/03 00:13:13: loss_24295: 1.5946000417776867, epoch 43: 565/565 (8.15s/50step)
04/03 00:13:21: loss_24860: 1.5883749278245773, epoch 44: 565/565 (8.02s/50step)
04/03 00:13:39: Eval loss: 1.58650282871576, Eval time: 17.816651
04/03 00:13:39: ### EVAL RESULT: 0.645, 0.963, 0.981, 0.991 at 43
04/03 00:13:39: ### BEST RESULT: 0.654, 0.962, 0.980, 0.991 at 39
04/03 00:13:47: loss_25425: 1.5903694361712026, epoch 45: 565/565 (26.13s/50step)
04/03 00:13:55: loss_25990: 1.5860240841333846, epoch 46: 565/565 (7.99s/50step)
04/03 00:14:03: loss_26555: 1.5827740133336161, epoch 47: 565/565 (7.99s/50step)
04/03 00:14:11: loss_27120: 1.5812718222626543, epoch 48: 565/565 (7.99s/50step)
04/03 00:14:29: Eval loss: 1.5805820417992862, Eval time: 17.449926
04/03 00:14:29: ### EVAL RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:14:29: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:14:37: loss_27685: 1.5789631054464695, epoch 49: 565/565 (25.84s/50step)
04/03 00:14:45: loss_28250: 1.577761837655464, epoch 50: 565/565 (8.08s/50step)
04/03 00:14:53: loss_28815: 1.5758794377335406, epoch 51: 565/565 (7.71s/50step)
04/03 00:15:01: loss_29380: 1.571263723457809, epoch 52: 565/565 (7.99s/50step)
04/03 00:15:19: Eval loss: 1.5793864874192227, Eval time: 18.247651
04/03 00:15:19: ### EVAL RESULT: 0.647, 0.964, 0.981, 0.991 at 51
04/03 00:15:19: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:15:27: loss_29945: 1.5699465293799881, epoch 53: 565/565 (26.64s/50step)
04/03 00:15:36: loss_30510: 1.568093894857221, epoch 54: 565/565 (8.40s/50step)
04/03 00:15:44: loss_31075: 1.5678340728304028, epoch 55: 565/565 (8.01s/50step)
04/03 00:15:53: loss_31640: 1.5637837646281825, epoch 56: 565/565 (8.71s/50step)
04/03 00:16:11: Eval loss: 1.574359940893856, Eval time: 18.342026
04/03 00:16:11: ### EVAL RESULT: 0.631, 0.962, 0.980, 0.991 at 55
04/03 00:16:11: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:16:19: loss_32205: 1.5634050890407731, epoch 57: 565/565 (26.61s/50step)
04/03 00:16:27: loss_32770: 1.5610171379241269, epoch 58: 565/565 (7.82s/50step)
04/03 00:16:36: loss_33335: 1.5615816675456224, epoch 59: 565/565 (8.51s/50step)
04/03 00:16:43: loss_33900: 1.5597414976727646, epoch 60: 565/565 (7.69s/50step)
04/03 00:17:01: Eval loss: 1.5752903502664448, Eval time: 18.164002
04/03 00:17:02: ### EVAL RESULT: 0.648, 0.964, 0.981, 0.991 at 59
04/03 00:17:02: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:17:10: loss_34465: 1.5581955205022762, epoch 61: 565/565 (26.47s/50step)
04/03 00:17:18: loss_35030: 1.5565203675126607, epoch 62: 565/565 (8.06s/50step)
04/03 00:17:26: loss_35595: 1.5557545628167886, epoch 63: 565/565 (8.04s/50step)
04/03 00:17:34: loss_36160: 1.553207477215117, epoch 64: 565/565 (8.48s/50step)
04/03 00:17:52: Eval loss: 1.569732760205681, Eval time: 17.972621
04/03 00:17:52: ### EVAL RESULT: 0.649, 0.965, 0.981, 0.992 at 63
04/03 00:17:52: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:18:00: loss_36725: 1.5537694595556344, epoch 65: 565/565 (26.04s/50step)
04/03 00:18:08: loss_37290: 1.55250459097128, epoch 66: 565/565 (7.99s/50step)
04/03 00:18:16: loss_37855: 1.5513729236822213, epoch 67: 565/565 (8.00s/50step)
04/03 00:18:24: loss_38420: 1.549591526099011, epoch 68: 565/565 (8.02s/50step)
04/03 00:18:43: Eval loss: 1.5722867235725309, Eval time: 18.389224
04/03 00:18:43: ### EVAL RESULT: 0.656, 0.962, 0.982, 0.991 at 67
04/03 00:18:43: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:18:51: loss_38985: 1.5491482247293522, epoch 69: 565/565 (27.00s/50step)
04/03 00:19:00: loss_39550: 1.5483481791167133, epoch 70: 565/565 (8.22s/50step)
04/03 00:19:08: loss_40115: 1.5474277496337892, epoch 71: 565/565 (7.92s/50step)
04/03 00:19:15: loss_40680: 1.5463569503969852, epoch 72: 565/565 (7.87s/50step)
04/03 00:19:34: Eval loss: 1.5698405136296778, Eval time: 18.166013
04/03 00:19:34: ### EVAL RESULT: 0.640, 0.964, 0.981, 0.990 at 71
04/03 00:19:34: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:19:42: loss_41245: 1.5453810225545832, epoch 73: 565/565 (26.12s/50step)
04/03 00:19:50: loss_41810: 1.5437669524049338, epoch 74: 565/565 (8.14s/50step)
04/03 00:19:58: loss_42375: 1.5441294995029415, epoch 75: 565/565 (8.55s/50step)
04/03 00:20:07: loss_42940: 1.5439885101487152, epoch 76: 565/565 (8.60s/50step)
04/03 00:20:25: Eval loss: 1.567431131998698, Eval time: 18.326789
04/03 00:20:25: ### EVAL RESULT: 0.642, 0.965, 0.982, 0.990 at 75
04/03 00:20:25: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:20:33: loss_43505: 1.5427418109589974, epoch 77: 565/565 (26.54s/50step)
04/03 00:20:41: loss_44070: 1.5421847436280378, epoch 78: 565/565 (7.93s/50step)
04/03 00:20:49: loss_44635: 1.5413961165774186, epoch 79: 565/565 (8.02s/50step)
04/03 00:20:58: loss_45200: 1.5411751715482864, epoch 80: 565/565 (8.52s/50step)
04/03 00:21:16: Eval loss: 1.5698652856143904, Eval time: 18.437085
04/03 00:21:16: ### EVAL RESULT: 0.658, 0.962, 0.982, 0.991 at 79
04/03 00:21:16: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:21:24: loss_45765: 1.5396963041440574, epoch 81: 565/565 (26.49s/50step)
04/03 00:21:32: loss_46330: 1.5403756266146635, epoch 82: 565/565 (8.05s/50step)
04/03 00:21:40: loss_46895: 1.5374151932454743, epoch 83: 565/565 (7.77s/50step)
04/03 00:21:48: loss_47460: 1.5366120745650436, epoch 84: 565/565 (8.16s/50step)
04/03 00:22:06: Eval loss: 1.5633220908082561, Eval time: 18.173023
04/03 00:22:07: ### EVAL RESULT: 0.659, 0.962, 0.980, 0.991 at 83
04/03 00:22:07: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:22:14: loss_48025: 1.537101581244342, epoch 85: 565/565 (26.03s/50step)
04/03 00:22:22: loss_48590: 1.534909837646822, epoch 86: 565/565 (7.88s/50step)
04/03 00:22:31: loss_49155: 1.5352818518613291, epoch 87: 565/565 (8.34s/50step)
04/03 00:22:39: loss_49720: 1.5358728615583572, epoch 88: 565/565 (8.09s/50step)
04/03 00:22:57: Eval loss: 1.5666948483314043, Eval time: 18.581200
04/03 00:22:57: ### EVAL RESULT: 0.653, 0.963, 0.981, 0.991 at 87
04/03 00:22:57: ### BEST RESULT: 0.659, 0.962, 0.980, 0.990 at 47
04/03 00:23:05: loss_50285: 1.5356217371678986, epoch 89: 565/565 (26.77s/50step)
04/03 00:23:13: loss_50850: 1.5368950651810231, epoch 90: 565/565 (7.92s/50step)
04/03 00:23:21: loss_51415: 1.5351424601225727, epoch 91: 565/565 (7.86s/50step)
04/03 00:23:29: loss_51980: 1.534290921371595, epoch 92: 565/565 (7.85s/50step)
04/03 00:23:46: Eval loss: 1.573376879279996, Eval time: 17.351849
04/03 00:23:47: ### EVAL RESULT: 0.663, 0.965, 0.982, 0.992 at 91
04/03 00:23:47: ### BEST RESULT: 0.663, 0.965, 0.982, 0.992 at 91
04/03 00:23:54: loss_52545: 1.5330184060915382, epoch 93: 565/565 (25.41s/50step)
04/03 00:24:03: loss_53110: 1.5320661188226885, epoch 94: 565/565 (8.02s/50step)
04/03 00:24:10: loss_53675: 1.5313540465008897, epoch 95: 565/565 (7.87s/50step)
04/03 00:24:18: loss_54240: 1.5299182904505098, epoch 96: 565/565 (7.92s/50step)
04/03 00:24:36: Eval loss: 1.5731078724802277, Eval time: 18.062149
04/03 00:24:36: ### EVAL RESULT: 0.652, 0.963, 0.981, 0.991 at 95
04/03 00:24:36: ### BEST RESULT: 0.663, 0.965, 0.982, 0.992 at 91
04/03 00:24:45: loss_54805: 1.5316458959495072, epoch 97: 565/565 (26.27s/50step)
04/03 00:24:53: loss_55370: 1.53272379668413, epoch 98: 565/565 (8.23s/50step)
04/03 00:25:01: loss_55935: 1.530860357157952, epoch 99: 565/565 (7.96s/50step)
04/03 00:25:09: loss_56500: 1.5311707848996188, epoch 100: 565/565 (7.86s/50step)
04/03 00:25:26: Eval loss: 1.5689294132185572, Eval time: 17.852506
04/03 00:25:27: ### EVAL RESULT: 0.650, 0.964, 0.982, 0.991 at 99
04/03 00:25:27: ### BEST RESULT: 0.663, 0.965, 0.982, 0.992 at 91
04/03 00:25:35: loss_57065: 1.5295050737077156, epoch 101: 565/565 (25.94s/50step)
04/03 00:25:43: loss_57630: 1.5292276952119, epoch 102: 565/565 (8.09s/50step)
04/03 00:25:51: loss_58195: 1.5288681028163538, epoch 103: 565/565 (8.07s/50step)
04/03 00:25:59: loss_58760: 1.5290313579339896, epoch 104: 565/565 (7.95s/50step)
04/03 00:26:17: Eval loss: 1.5693990448374806, Eval time: 18.437049
04/03 00:26:17: ### EVAL RESULT: 0.653, 0.965, 0.981, 0.991 at 103
04/03 00:26:17: ### BEST RESULT: 0.663, 0.965, 0.982, 0.992 at 91
04/03 00:26:25: loss_59325: 1.52886570449424, epoch 105: 565/565 (26.54s/50step)
04/03 00:26:33: loss_59890: 1.5274097100823327, epoch 106: 565/565 (7.94s/50step)
04/03 00:26:41: loss_60455: 1.52675808847478, epoch 107: 565/565 (7.98s/50step)
04/03 00:26:49: loss_61020: 1.5285852054579068, epoch 108: 565/565 (7.89s/50step)
04/03 00:27:07: Eval loss: 1.5725365156008873, Eval time: 18.091137
04/03 00:27:07: ### EVAL RESULT: 0.642, 0.965, 0.982, 0.992 at 107
04/03 00:27:07: ### BEST RESULT: 0.663, 0.965, 0.982, 0.992 at 91
04/03 00:27:15: loss_61585: 1.526463707780416, epoch 109: 565/565 (26.34s/50step)
04/03 00:27:23: loss_62150: 1.5275569852474515, epoch 110: 565/565 (7.92s/50step)
04/03 00:27:35: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 00:28:47: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 00:29:12: loss_565: 46.203349591145475, epoch 1: 565/565
04/03 00:29:19: epoch 2, loss: 31.84881423680128
04/03 00:29:27: epoch 3, loss: 22.67012915822257
04/03 00:29:35: epoch 4, loss: 14.182204587480664
04/03 00:29:54: Eval loss: 2.8838176962770063, Eval time: 18.417084
04/03 00:29:54: ### EVAL RESULT: 0.499, 0.931, 0.978, 0.994 at 3
04/03 00:29:54: ### BEST RESULT: 0.499, 0.931, 0.978, 0.994 at 3
04/03 00:30:02: epoch 5, loss: 7.945920658955532
04/03 00:30:10: epoch 6, loss: 4.925516588076026
04/03 00:30:18: epoch 7, loss: 3.7698844597402927
04/03 00:30:26: epoch 8, loss: 3.281217691539663
04/03 00:30:45: Eval loss: 2.1360356837143133, Eval time: 18.827417
04/03 00:30:45: ### EVAL RESULT: 0.535, 0.943, 0.980, 0.996 at 7
04/03 00:30:45: ### BEST RESULT: 0.535, 0.943, 0.980, 0.996 at 7
04/03 00:30:53: epoch 9, loss: 3.0358551755415655
04/03 00:31:01: epoch 10, loss: 2.8671924114227294
04/03 00:31:09: epoch 11, loss: 2.7465980154223146
04/03 00:31:18: epoch 12, loss: 2.655755338415635
04/03 00:31:35: Eval loss: 1.908392447012442, Eval time: 17.611924
04/03 00:31:35: ### EVAL RESULT: 0.587, 0.965, 0.990, 0.998 at 11
04/03 00:31:35: ### BEST RESULT: 0.587, 0.965, 0.990, 0.998 at 11
04/03 00:31:44: epoch 13, loss: 2.5786159544919443
04/03 00:31:52: epoch 14, loss: 2.519005292284805
04/03 00:31:59: epoch 15, loss: 2.4681070888991905
04/03 00:32:07: epoch 16, loss: 2.4274220259843675
04/03 00:32:26: Eval loss: 1.791081369659047, Eval time: 18.162152
04/03 00:32:26: ### EVAL RESULT: 0.630, 0.974, 0.990, 0.998 at 15
04/03 00:32:26: ### BEST RESULT: 0.630, 0.974, 0.990, 0.998 at 15
04/03 00:32:34: epoch 17, loss: 2.3882621967687014
04/03 00:32:42: epoch 18, loss: 2.3519237737740037
04/03 00:32:50: epoch 19, loss: 2.327932528689899
04/03 00:32:58: epoch 20, loss: 2.308803384071958
04/03 00:33:15: Eval loss: 1.721552907684703, Eval time: 17.381528
04/03 00:33:15: ### EVAL RESULT: 0.625, 0.973, 0.990, 0.998 at 19
04/03 00:33:15: ### BEST RESULT: 0.630, 0.974, 0.990, 0.998 at 15
04/03 00:33:23: epoch 21, loss: 2.2872743973689795
04/03 00:33:31: epoch 22, loss: 2.270178315069823
04/03 00:33:39: epoch 23, loss: 2.2578661192834906
04/03 00:33:47: epoch 24, loss: 2.2399383916264086
04/03 00:34:04: Eval loss: 1.6825034059124229, Eval time: 17.121172
04/03 00:34:04: ### EVAL RESULT: 0.646, 0.978, 0.991, 0.999 at 23
04/03 00:34:04: ### BEST RESULT: 0.646, 0.978, 0.991, 0.999 at 23
04/03 00:34:12: epoch 25, loss: 2.2306396404198843
04/03 00:34:20: epoch 26, loss: 2.219228612005183
04/03 00:34:28: epoch 27, loss: 2.2122918525628283
04/03 00:34:36: epoch 28, loss: 2.204927235156034
04/03 00:34:54: Eval loss: 1.659465460129726, Eval time: 17.762815
04/03 00:34:54: ### EVAL RESULT: 0.649, 0.977, 0.990, 0.998 at 27
04/03 00:34:54: ### BEST RESULT: 0.649, 0.977, 0.990, 0.998 at 27
04/03 00:35:02: epoch 29, loss: 2.195974474037643
04/03 00:35:10: epoch 30, loss: 2.1857600785989675
04/03 00:35:18: epoch 31, loss: 2.1799309203055053
04/03 00:35:25: epoch 32, loss: 2.1733134491253745
04/03 00:35:43: Eval loss: 1.645845201280382, Eval time: 17.864785
04/03 00:35:43: ### EVAL RESULT: 0.645, 0.978, 0.991, 0.998 at 31
04/03 00:35:43: ### BEST RESULT: 0.649, 0.977, 0.990, 0.998 at 27
04/03 00:35:51: epoch 33, loss: 2.166506680767093
04/03 00:35:59: epoch 34, loss: 2.1644880478361013
04/03 00:36:07: epoch 35, loss: 2.1575679234698812
04/03 00:36:15: epoch 36, loss: 2.156306856079439
04/03 00:36:33: Eval loss: 1.6356751241801697, Eval time: 17.924090
04/03 00:36:33: ### EVAL RESULT: 0.637, 0.980, 0.991, 0.999 at 35
04/03 00:36:33: ### BEST RESULT: 0.649, 0.977, 0.990, 0.998 at 27
04/03 00:36:41: epoch 37, loss: 2.1511009811300092
04/03 00:36:49: epoch 38, loss: 2.1489657456895945
04/03 00:36:57: epoch 39, loss: 2.14202723081133
04/03 00:37:05: epoch 40, loss: 2.1407093976451232
04/03 00:37:23: Eval loss: 1.6231670615113811, Eval time: 17.409355
04/03 00:37:23: ### EVAL RESULT: 0.631, 0.979, 0.992, 0.998 at 39
04/03 00:37:23: ### BEST RESULT: 0.649, 0.977, 0.990, 0.998 at 27
04/03 00:37:31: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 00:37:56: loss_565: 46.203349591145475, epoch 1: 565/565
04/03 00:38:04: epoch 2, loss: 31.84881423680128
04/03 00:38:12: epoch 3, loss: 22.67012915822257
04/03 00:38:20: epoch 4, loss: 14.182204587480664
04/03 00:38:37: Eval loss: 3.312414852189429, Eval time: 17.472204
04/03 00:38:37: ### EVAL RESULT: 0.499, 0.931, 0.978, 0.994 at 3
04/03 00:38:37: ### BEST RESULT: 0.499, 0.931, 0.978, 0.994 at 3
04/03 00:38:45: epoch 5, loss: 7.97446707160072
04/03 00:38:54: epoch 6, loss: 4.931182459603368
04/03 00:39:01: epoch 7, loss: 3.7733087079714887
04/03 00:39:09: epoch 8, loss: 3.2784677248085496
04/03 00:39:27: Eval loss: 2.50954352484809, Eval time: 17.835014
04/03 00:39:27: ### EVAL RESULT: 0.524, 0.944, 0.979, 0.996 at 7
04/03 00:39:27: ### BEST RESULT: 0.524, 0.944, 0.979, 0.996 at 7
04/03 00:39:35: epoch 9, loss: 3.0314738691380594
04/03 00:39:43: epoch 10, loss: 2.8681205719973133
04/03 00:39:51: epoch 11, loss: 2.7447663159497018
04/03 00:39:59: epoch 12, loss: 2.6540831797945814
04/03 00:40:16: Eval loss: 2.3218854739342207, Eval time: 17.419203
04/03 00:40:16: ### EVAL RESULT: 0.595, 0.965, 0.988, 0.997 at 11
04/03 00:40:16: ### BEST RESULT: 0.595, 0.965, 0.988, 0.997 at 11
04/03 00:40:24: epoch 13, loss: 2.5766720915262677
04/03 00:40:32: epoch 14, loss: 2.517334310143395
04/03 00:40:40: epoch 15, loss: 2.4698124847580902
04/03 00:40:48: epoch 16, loss: 2.4243670598595544
04/03 00:41:06: Eval loss: 2.232597068504051, Eval time: 17.643356
04/03 00:41:06: ### EVAL RESULT: 0.633, 0.972, 0.989, 0.998 at 15
04/03 00:41:06: ### BEST RESULT: 0.633, 0.972, 0.989, 0.998 at 15
04/03 00:41:14: epoch 17, loss: 2.3886199124091494
04/03 00:41:22: epoch 18, loss: 2.355157202745961
04/03 00:41:29: epoch 19, loss: 2.331432278388369
04/03 00:41:37: epoch 20, loss: 2.309743772776781
04/03 00:41:55: Eval loss: 2.1856265597873263, Eval time: 17.334663
04/03 00:41:55: ### EVAL RESULT: 0.622, 0.974, 0.990, 0.997 at 19
04/03 00:41:55: ### BEST RESULT: 0.633, 0.972, 0.989, 0.998 at 15
04/03 00:42:03: epoch 21, loss: 2.2885884360929505
04/03 00:42:11: epoch 22, loss: 2.2700732176282763
04/03 00:42:19: epoch 23, loss: 2.2572726684334006
04/03 00:42:26: epoch 24, loss: 2.2402858248854107
04/03 00:42:43: Eval loss: 2.1505443431712963, Eval time: 17.049104
04/03 00:42:44: ### EVAL RESULT: 0.642, 0.978, 0.990, 0.999 at 23
04/03 00:42:44: ### BEST RESULT: 0.642, 0.978, 0.990, 0.999 at 23
04/03 00:42:52: epoch 25, loss: 2.2298677900196178
04/03 00:42:59: epoch 26, loss: 2.2214460727387824
04/03 00:43:07: epoch 27, loss: 2.2129885048992866
04/03 00:43:15: epoch 28, loss: 2.203880329047684
04/03 00:43:33: Eval loss: 2.140872531467014, Eval time: 17.707259
04/03 00:43:33: ### EVAL RESULT: 0.639, 0.976, 0.990, 0.998 at 27
04/03 00:43:33: ### BEST RESULT: 0.642, 0.978, 0.990, 0.999 at 23
04/03 00:43:41: epoch 29, loss: 2.195629577299135
04/03 00:43:49: epoch 30, loss: 2.186243575020174
04/03 00:43:57: epoch 31, loss: 2.1804088672705455
04/03 00:44:05: epoch 32, loss: 2.175128861655176
04/03 00:44:23: Eval loss: 2.1228609438295716, Eval time: 17.888900
04/03 00:44:23: ### EVAL RESULT: 0.644, 0.980, 0.991, 0.999 at 31
04/03 00:44:23: ### BEST RESULT: 0.644, 0.980, 0.991, 0.999 at 31
04/03 00:44:31: epoch 33, loss: 2.1690293510403253
04/03 00:44:39: epoch 34, loss: 2.1646507497382377
04/03 00:44:47: epoch 35, loss: 2.156285072849915
04/03 00:44:54: epoch 36, loss: 2.156916019135872
04/03 00:45:12: Eval loss: 2.123284610701196, Eval time: 17.851403
04/03 00:45:12: ### EVAL RESULT: 0.643, 0.979, 0.991, 0.998 at 35
04/03 00:45:12: ### BEST RESULT: 0.644, 0.980, 0.991, 0.999 at 31
04/03 00:45:20: epoch 37, loss: 2.1499835598785264
04/03 00:45:28: epoch 38, loss: 2.1487120406817546
04/03 00:45:36: epoch 39, loss: 2.1435669139423204
04/03 00:45:44: epoch 40, loss: 2.1400113896986026
04/03 00:46:01: Eval loss: 2.1178193268952548, Eval time: 17.418968
04/03 00:46:01: ### EVAL RESULT: 0.639, 0.980, 0.990, 0.998 at 39
04/03 00:46:01: ### BEST RESULT: 0.644, 0.980, 0.991, 0.999 at 31
04/03 00:46:09: epoch 41, loss: 2.137088278331588
04/03 00:46:17: epoch 42, loss: 2.133334103516773
04/03 00:46:25: epoch 43, loss: 2.132588127229066
04/03 00:46:33: epoch 44, loss: 2.1298936740487022
04/03 00:46:51: Eval loss: 2.109301343376254, Eval time: 17.438260
04/03 00:46:51: ### EVAL RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:46:51: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:46:59: epoch 45, loss: 2.126844628511277
04/03 00:47:07: epoch 46, loss: 2.1243426033880857
04/03 00:47:15: epoch 47, loss: 2.1231884283302103
04/03 00:47:22: epoch 48, loss: 2.1196670724227364
04/03 00:47:40: Eval loss: 2.1080601068190585, Eval time: 17.320897
04/03 00:47:40: ### EVAL RESULT: 0.638, 0.979, 0.990, 0.998 at 47
04/03 00:47:40: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:47:48: epoch 49, loss: 2.1180579907071273
04/03 00:47:56: epoch 50, loss: 2.113042712000619
04/03 00:48:04: epoch 51, loss: 2.1149441845649113
04/03 00:48:11: epoch 52, loss: 2.11277920461334
04/03 00:48:29: Eval loss: 2.1086354196807484, Eval time: 17.393384
04/03 00:48:29: ### EVAL RESULT: 0.639, 0.981, 0.993, 0.999 at 51
04/03 00:48:29: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:48:37: epoch 53, loss: 2.108882673651771
04/03 00:48:45: epoch 54, loss: 2.107892894744873
04/03 00:48:53: epoch 55, loss: 2.1075704787684755
04/03 00:49:01: epoch 56, loss: 2.1058772220020803
04/03 00:49:18: Eval loss: 2.109988742404514, Eval time: 17.548883
04/03 00:49:18: ### EVAL RESULT: 0.640, 0.979, 0.991, 0.998 at 55
04/03 00:49:18: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:49:26: epoch 57, loss: 2.104352658617813
04/03 00:49:34: epoch 58, loss: 2.1029062773274108
04/03 00:49:42: epoch 59, loss: 2.1030513940659246
04/03 00:49:49: epoch 60, loss: 2.1008290018655558
04/03 00:50:08: Eval loss: 2.1049908296561535, Eval time: 18.099389
04/03 00:50:08: ### EVAL RESULT: 0.647, 0.979, 0.990, 0.998 at 59
04/03 00:50:08: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:50:16: epoch 61, loss: 2.097753683233683
04/03 00:50:23: epoch 62, loss: 2.0978363509726736
04/03 00:50:31: epoch 63, loss: 2.0992893999656745
04/03 00:50:39: epoch 64, loss: 2.097423612332977
04/03 00:50:57: Eval loss: 2.0941840277777777, Eval time: 17.580396
04/03 00:50:57: ### EVAL RESULT: 0.635, 0.981, 0.991, 0.998 at 63
04/03 00:50:57: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:51:05: epoch 65, loss: 2.0955612564508894
04/03 00:51:13: epoch 66, loss: 2.09529940533427
04/03 00:51:21: epoch 67, loss: 2.0939068823789073
04/03 00:51:29: epoch 68, loss: 2.0916602465958722
04/03 00:51:47: Eval loss: 2.0946873794367282, Eval time: 18.019671
04/03 00:51:47: ### EVAL RESULT: 0.640, 0.979, 0.991, 0.998 at 67
04/03 00:51:47: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:51:55: epoch 69, loss: 2.0902370130066323
04/03 00:52:03: epoch 70, loss: 2.0915330466970934
04/03 00:52:10: epoch 71, loss: 2.089080111959339
04/03 00:52:18: epoch 72, loss: 2.091327786023638
04/03 00:52:36: Eval loss: 2.092972743658372, Eval time: 17.674743
04/03 00:52:36: ### EVAL RESULT: 0.642, 0.980, 0.991, 0.999 at 71
04/03 00:52:36: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:52:44: epoch 73, loss: 2.0895944540479543
04/03 00:52:52: epoch 74, loss: 2.090199905792169
04/03 00:53:00: epoch 75, loss: 2.08787908828364
04/03 00:53:08: epoch 76, loss: 2.0853294018095574
04/03 00:53:26: Eval loss: 2.097478230794271, Eval time: 17.654379
04/03 00:53:26: ### EVAL RESULT: 0.641, 0.981, 0.991, 0.998 at 75
04/03 00:53:26: ### BEST RESULT: 0.652, 0.980, 0.991, 0.998 at 43
04/03 00:53:34: epoch 77, loss: 2.0868694989027174
04/03 00:53:41: epoch 78, loss: 2.0847365740126214
04/03 00:53:49: epoch 79, loss: 2.083313487483337
04/03 00:53:57: epoch 80, loss: 2.0807740219926414
04/03 00:54:15: Eval loss: 2.0982206368152005, Eval time: 17.712837
04/03 00:54:15: ### EVAL RESULT: 0.653, 0.980, 0.992, 0.999 at 79
04/03 00:54:15: ### BEST RESULT: 0.653, 0.980, 0.992, 0.999 at 79
04/03 00:54:23: epoch 81, loss: 2.084548016565036
04/03 00:54:31: epoch 82, loss: 2.0823955004194143
04/03 00:54:39: epoch 83, loss: 2.082558609743034
04/03 00:54:47: epoch 84, loss: 2.081042426666327
04/03 00:55:05: Eval loss: 2.0974275565441745, Eval time: 17.805323
04/03 00:55:05: ### EVAL RESULT: 0.646, 0.982, 0.991, 0.998 at 83
04/03 00:55:05: ### BEST RESULT: 0.653, 0.980, 0.992, 0.999 at 79
04/03 00:55:13: epoch 85, loss: 2.081541379363136
04/03 00:55:21: epoch 86, loss: 2.078246559927949
04/03 00:55:29: epoch 87, loss: 2.0803165064448805
04/03 00:55:37: epoch 88, loss: 2.0790160666524837
04/03 00:55:54: Eval loss: 2.098624335394965, Eval time: 17.701975
04/03 00:55:54: ### EVAL RESULT: 0.636, 0.980, 0.993, 0.999 at 87
04/03 00:55:54: ### BEST RESULT: 0.653, 0.980, 0.992, 0.999 at 79
04/03 00:56:02: epoch 89, loss: 2.078597468612468
04/03 00:56:10: epoch 90, loss: 2.079326341848458
04/03 00:56:18: epoch 91, loss: 2.079363182160707
04/03 00:56:26: epoch 92, loss: 2.0788155663329944
04/03 00:56:44: Eval loss: 2.09226311577691, Eval time: 17.502812
04/03 00:56:44: ### EVAL RESULT: 0.655, 0.981, 0.992, 0.998 at 91
04/03 00:56:44: ### BEST RESULT: 0.655, 0.981, 0.992, 0.998 at 91
04/03 00:56:52: epoch 93, loss: 2.0781824274400695
04/03 00:57:00: epoch 94, loss: 2.078535800697529
04/03 00:57:08: epoch 95, loss: 2.075376321362183
04/03 00:57:15: epoch 96, loss: 2.0744110366939443
04/03 00:57:33: Eval loss: 2.091549531913098, Eval time: 17.556543
04/03 00:57:33: ### EVAL RESULT: 0.640, 0.979, 0.993, 0.998 at 95
04/03 00:57:33: ### BEST RESULT: 0.655, 0.981, 0.992, 0.998 at 91
04/03 00:57:41: epoch 97, loss: 2.0772345403654384
04/03 00:57:49: epoch 98, loss: 2.0749532467496077
04/03 00:57:57: epoch 99, loss: 2.0749914133443244
04/03 00:58:05: epoch 100, loss: 2.077176313062685
04/03 00:58:22: Eval loss: 2.085392516336323, Eval time: 17.299878
04/03 00:58:22: ### EVAL RESULT: 0.636, 0.979, 0.992, 0.998 at 99
04/03 00:58:22: ### BEST RESULT: 0.655, 0.981, 0.992, 0.998 at 91
04/03 00:58:30: epoch 101, loss: 2.0736581270673633
04/03 00:58:38: epoch 102, loss: 2.0747366839805537
04/03 00:58:46: epoch 103, loss: 2.074259469361432
04/03 00:58:54: epoch 104, loss: 2.074370534652102
04/03 00:59:11: Eval loss: 2.0940591317635997, Eval time: 17.465187
04/03 00:59:12: ### EVAL RESULT: 0.645, 0.981, 0.992, 0.998 at 103
04/03 00:59:12: ### BEST RESULT: 0.655, 0.981, 0.992, 0.998 at 91
04/03 00:59:19: epoch 105, loss: 2.075089497270837
04/03 00:59:27: epoch 106, loss: 2.0734583038144407
04/03 00:59:35: epoch 107, loss: 2.0734777661551416
04/03 00:59:43: epoch 108, loss: 2.072644106265718
04/03 01:00:01: Eval loss: 2.0993980125144676, Eval time: 18.010578
04/03 01:00:01: ### EVAL RESULT: 0.641, 0.981, 0.993, 0.998 at 107
04/03 01:00:01: ### BEST RESULT: 0.655, 0.981, 0.992, 0.998 at 91
04/03 01:00:09: epoch 109, loss: 2.0722335737363426
04/03 01:00:17: epoch 110, loss: 2.0739859832071623
04/03 01:00:25: epoch 111, loss: 2.0722099707189914
04/03 01:00:33: epoch 112, loss: 2.072351198702787
BASELINE
04/03 01:01:13: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 01:01:39: loss_565: 47.49971860362365, epoch 1: 565/565
04/03 01:01:46: epoch 2, loss: 32.832595328947086
04/03 01:01:54: epoch 3, loss: 23.90016049072806
04/03 01:02:02: epoch 4, loss: 15.45723600640761
04/03 01:02:19: Eval loss: 3.034125057267554, Eval time: 17.126495
04/03 01:02:19: ### EVAL RESULT: 0.531, 0.936, 0.976, 0.993 at 3
04/03 01:02:19: ### BEST RESULT: 0.531, 0.936, 0.976, 0.993 at 3
04/03 01:02:27: epoch 5, loss: 8.795582853165348
04/03 01:02:35: epoch 6, loss: 5.108593882501653
04/03 01:02:43: epoch 7, loss: 3.6121688825894247
04/03 01:02:51: epoch 8, loss: 2.9899835755339765
04/03 01:03:08: Eval loss: 2.0553225293571566, Eval time: 17.378219
04/03 01:03:08: ### EVAL RESULT: 0.540, 0.952, 0.983, 0.996 at 7
04/03 01:03:08: ### BEST RESULT: 0.540, 0.952, 0.983, 0.996 at 7
04/03 01:03:16: epoch 9, loss: 2.6751698337825
04/03 01:03:24: epoch 10, loss: 2.468143509552542
04/03 01:03:32: epoch 11, loss: 2.322534927435681
04/03 01:03:39: epoch 12, loss: 2.207736268296706
04/03 01:03:57: Eval loss: 1.8332685305748457, Eval time: 17.178007
04/03 01:03:57: ### EVAL RESULT: 0.602, 0.967, 0.989, 0.998 at 11
04/03 01:03:57: ### BEST RESULT: 0.602, 0.967, 0.989, 0.998 at 11
04/03 01:04:05: epoch 13, loss: 2.1188550497578307
04/03 01:04:12: epoch 14, loss: 2.0460877595749576
04/03 01:04:20: epoch 15, loss: 1.9909958073523193
04/03 01:04:28: epoch 16, loss: 1.9366728632850985
04/03 01:04:46: Eval loss: 1.733122083875868, Eval time: 17.594584
04/03 01:04:46: ### EVAL RESULT: 0.630, 0.975, 0.990, 0.998 at 15
04/03 01:04:46: ### BEST RESULT: 0.630, 0.975, 0.990, 0.998 at 15
04/03 01:04:54: epoch 17, loss: 1.894240732741567
04/03 01:05:01: epoch 18, loss: 1.8613272582535194
04/03 01:05:09: epoch 19, loss: 1.8260110781256076
04/03 01:05:17: epoch 20, loss: 1.7995813909885103
04/03 01:05:34: Eval loss: 1.6761018729504245, Eval time: 17.181248
04/03 01:05:34: ### EVAL RESULT: 0.639, 0.976, 0.991, 0.998 at 19
04/03 01:05:34: ### BEST RESULT: 0.639, 0.976, 0.991, 0.998 at 19
04/03 01:05:42: epoch 21, loss: 1.7763044732861815
04/03 01:05:50: epoch 22, loss: 1.7573969952828061
04/03 01:05:58: epoch 23, loss: 1.740364554287058
04/03 01:06:06: epoch 24, loss: 1.7226691220713928
04/03 01:06:23: Eval loss: 1.6446493643301505, Eval time: 16.864175
04/03 01:06:23: ### EVAL RESULT: 0.647, 0.979, 0.991, 0.999 at 23
04/03 01:06:23: ### BEST RESULT: 0.647, 0.979, 0.991, 0.999 at 23
04/03 01:06:31: epoch 25, loss: 1.7095975468643998
04/03 01:06:39: epoch 26, loss: 1.6992785097223468
04/03 01:06:46: epoch 27, loss: 1.6850162204387968
04/03 01:06:54: epoch 28, loss: 1.6768511147625678
04/03 01:07:12: Eval loss: 1.6200410819347995, Eval time: 17.804479
04/03 01:07:12: ### EVAL RESULT: 0.635, 0.981, 0.992, 0.998 at 27
04/03 01:07:12: ### BEST RESULT: 0.647, 0.979, 0.991, 0.999 at 23
04/03 01:07:20: epoch 29, loss: 1.6687315736196737
04/03 01:07:28: epoch 30, loss: 1.6583515500600359
04/03 01:07:36: epoch 31, loss: 1.652396894978211
04/03 01:07:44: epoch 32, loss: 1.6447846353581521
04/03 01:08:02: Eval loss: 1.6059046615788966, Eval time: 18.068078
04/03 01:08:02: ### EVAL RESULT: 0.654, 0.983, 0.991, 0.999 at 31
04/03 01:08:02: ### BEST RESULT: 0.654, 0.983, 0.991, 0.999 at 31
04/03 01:08:10: epoch 33, loss: 1.6376271399776492
04/03 01:08:17: epoch 34, loss: 1.6316923757569979
04/03 01:08:25: epoch 35, loss: 1.627358745473676
04/03 01:08:33: epoch 36, loss: 1.621587886008541
04/03 01:08:51: Eval loss: 1.598650331850405, Eval time: 17.668992
04/03 01:08:51: ### EVAL RESULT: 0.651, 0.980, 0.991, 0.999 at 35
04/03 01:08:51: ### BEST RESULT: 0.654, 0.983, 0.991, 0.999 at 31
04/03 01:08:59: epoch 37, loss: 1.6177837131297694
04/03 01:09:06: epoch 38, loss: 1.6148888402280555
04/03 01:09:14: epoch 39, loss: 1.6099944161102835
04/03 01:09:22: epoch 40, loss: 1.6051112618066568
04/03 01:09:39: Eval loss: 1.5920664469401042, Eval time: 17.125739
04/03 01:09:39: ### EVAL RESULT: 0.656, 0.983, 0.990, 0.998 at 39
04/03 01:09:39: ### BEST RESULT: 0.656, 0.983, 0.990, 0.998 at 39
04/03 01:09:47: epoch 41, loss: 1.6005003722368087
04/03 01:09:55: epoch 42, loss: 1.5988726727730405
04/03 01:10:03: epoch 43, loss: 1.5950946639069414
04/03 01:10:11: epoch 44, loss: 1.5900258644492224
04/03 01:10:28: Eval loss: 1.5882967725212191, Eval time: 17.422743
04/03 01:10:28: ### EVAL RESULT: 0.652, 0.983, 0.993, 0.999 at 43
04/03 01:10:28: ### BEST RESULT: 0.656, 0.983, 0.990, 0.998 at 39
04/03 01:10:36: epoch 45, loss: 1.5918342187341337
04/03 01:10:44: epoch 46, loss: 1.587318319978967
04/03 01:10:52: epoch 47, loss: 1.5854243913582995
04/03 01:11:00: epoch 48, loss: 1.5829966916447191
04/03 01:11:17: Eval loss: 1.5802706494743441, Eval time: 17.223383
04/03 01:11:17: ### EVAL RESULT: 0.665, 0.983, 0.993, 0.999 at 47
04/03 01:11:17: ### BEST RESULT: 0.665, 0.983, 0.993, 0.999 at 47
04/03 01:11:25: epoch 49, loss: 1.5798260036822969
04/03 01:11:33: epoch 50, loss: 1.5780221301897437
04/03 01:11:41: epoch 51, loss: 1.5755503095356764
04/03 01:11:48: epoch 52, loss: 1.5709631223594194
04/03 01:12:05: Eval loss: 1.5828220697096835, Eval time: 17.220716
04/03 01:12:06: ### EVAL RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:12:06: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:12:13: epoch 53, loss: 1.571068420663344
04/03 01:12:21: epoch 54, loss: 1.5691715677227593
04/03 01:12:29: epoch 55, loss: 1.5685316564762486
04/03 01:12:37: epoch 56, loss: 1.564970646073333
04/03 01:12:54: Eval loss: 1.5758195100007233, Eval time: 16.866086
04/03 01:12:54: ### EVAL RESULT: 0.651, 0.983, 0.993, 0.999 at 55
04/03 01:12:54: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:13:02: epoch 57, loss: 1.5630494752816395
04/03 01:13:10: epoch 58, loss: 1.5625112356337827
04/03 01:13:17: epoch 59, loss: 1.561627218786594
04/03 01:13:25: epoch 60, loss: 1.5597454474035617
04/03 01:13:43: Eval loss: 1.5781871654369213, Eval time: 17.758608
04/03 01:13:43: ### EVAL RESULT: 0.649, 0.984, 0.991, 0.999 at 59
04/03 01:13:43: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:13:51: epoch 61, loss: 1.5589978614739612
04/03 01:13:59: epoch 62, loss: 1.556367972677788
04/03 01:14:06: epoch 63, loss: 1.5565122406039618
04/03 01:14:14: epoch 64, loss: 1.5545992809059346
04/03 01:14:32: Eval loss: 1.5707977671682098, Eval time: 17.461051
04/03 01:14:32: ### EVAL RESULT: 0.645, 0.984, 0.993, 0.999 at 63
04/03 01:14:32: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:14:40: epoch 65, loss: 1.5547568302238937
04/03 01:14:47: epoch 66, loss: 1.5538664113103815
04/03 01:14:55: epoch 67, loss: 1.552281521484915
04/03 01:15:03: epoch 68, loss: 1.550465032906659
04/03 01:15:21: Eval loss: 1.574498117705922, Eval time: 17.943219
04/03 01:15:21: ### EVAL RESULT: 0.668, 0.985, 0.992, 0.999 at 67
04/03 01:15:21: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:15:29: epoch 69, loss: 1.549372489473461
04/03 01:15:37: epoch 70, loss: 1.5487649826876886
04/03 01:15:44: epoch 71, loss: 1.5470660002885666
04/03 01:15:52: epoch 72, loss: 1.5474894871753928
04/03 01:16:10: Eval loss: 1.5706099521966628, Eval time: 17.417865
04/03 01:16:10: ### EVAL RESULT: 0.638, 0.985, 0.992, 0.999 at 71
04/03 01:16:10: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:16:18: epoch 73, loss: 1.5478544859759575
04/03 01:16:25: epoch 74, loss: 1.5445546871792954
04/03 01:16:34: epoch 75, loss: 1.545830099561573
04/03 01:16:41: epoch 76, loss: 1.5444127306473994
04/03 01:16:59: Eval loss: 1.5696577849211517, Eval time: 17.495486
04/03 01:16:59: ### EVAL RESULT: 0.654, 0.985, 0.993, 0.999 at 75
04/03 01:16:59: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:17:07: epoch 77, loss: 1.5441239527896442
04/03 01:17:15: epoch 78, loss: 1.5419197409553866
04/03 01:17:23: epoch 79, loss: 1.5404515471078652
04/03 01:17:30: epoch 80, loss: 1.5416516082476726
04/03 01:17:48: Eval loss: 1.573963589138455, Eval time: 17.230737
04/03 01:17:48: ### EVAL RESULT: 0.657, 0.985, 0.993, 0.999 at 79
04/03 01:17:48: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:17:55: epoch 81, loss: 1.5403415606085178
04/03 01:18:03: epoch 82, loss: 1.5402899214651733
04/03 01:18:11: epoch 83, loss: 1.5373159988791543
04/03 01:18:19: epoch 84, loss: 1.5379188073419892
04/03 01:18:36: Eval loss: 1.5663207254292053, Eval time: 17.497232
04/03 01:18:36: ### EVAL RESULT: 0.661, 0.985, 0.993, 0.999 at 83
04/03 01:18:36: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:18:44: epoch 85, loss: 1.5381701735268651
04/03 01:18:52: epoch 86, loss: 1.5347826297304272
04/03 01:19:00: epoch 87, loss: 1.5369364183560936
04/03 01:19:08: epoch 88, loss: 1.5357638413927197
04/03 01:19:26: Eval loss: 1.5702700202847704, Eval time: 17.996293
04/03 01:19:26: ### EVAL RESULT: 0.654, 0.983, 0.992, 0.999 at 87
04/03 01:19:26: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:19:34: epoch 89, loss: 1.5367246672115495
04/03 01:19:41: epoch 90, loss: 1.5366509019801047
04/03 01:19:49: epoch 91, loss: 1.53614484208875
04/03 01:19:57: epoch 92, loss: 1.5347447775106515
04/03 01:20:14: Eval loss: 1.574255578311873, Eval time: 16.834677
04/03 01:20:14: ### EVAL RESULT: 0.666, 0.983, 0.991, 0.999 at 91
04/03 01:20:14: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:20:22: epoch 93, loss: 1.5330560834006925
04/03 01:20:30: epoch 94, loss: 1.5325627316415837
04/03 01:20:37: epoch 95, loss: 1.5326453934728572
04/03 01:20:45: epoch 96, loss: 1.5295257492403014
04/03 01:21:03: Eval loss: 1.57406766915027, Eval time: 17.859492
04/03 01:21:03: ### EVAL RESULT: 0.658, 0.984, 0.993, 0.998 at 95
04/03 01:21:03: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:21:11: epoch 97, loss: 1.532864045674822
04/03 01:21:19: epoch 98, loss: 1.531481442409279
04/03 01:21:27: epoch 99, loss: 1.53153371979705
04/03 01:21:34: epoch 100, loss: 1.530333474885046
04/03 01:21:52: Eval loss: 1.5702789683400848, Eval time: 17.255279
04/03 01:21:52: ### EVAL RESULT: 0.662, 0.982, 0.992, 0.998 at 99
04/03 01:21:52: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:22:00: epoch 101, loss: 1.528409534429027
04/03 01:22:07: epoch 102, loss: 1.5296786386354835
04/03 01:22:15: epoch 103, loss: 1.5295608402353473
04/03 01:22:23: epoch 104, loss: 1.5294977880157201
04/03 01:22:40: Eval loss: 1.5705114293981481, Eval time: 17.535368
04/03 01:22:41: ### EVAL RESULT: 0.645, 0.983, 0.992, 0.998 at 103
04/03 01:22:41: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:22:48: epoch 105, loss: 1.5293711149587041
04/03 01:22:56: epoch 106, loss: 1.527913203281639
04/03 01:23:04: epoch 107, loss: 1.5280245166964235
04/03 01:23:12: epoch 108, loss: 1.5280386243246298
04/03 01:23:29: Eval loss: 1.57476156729239, Eval time: 17.537588
04/03 01:23:29: ### EVAL RESULT: 0.646, 0.985, 0.992, 0.998 at 107
04/03 01:23:29: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:23:37: epoch 109, loss: 1.526872402587823
04/03 01:23:45: epoch 110, loss: 1.52785043062362
04/03 01:23:53: epoch 111, loss: 1.527580526866744
04/03 01:24:01: epoch 112, loss: 1.5260596737397456
04/03 01:24:19: Eval loss: 1.5754480244200906, Eval time: 17.780608
04/03 01:24:19: ### EVAL RESULT: 0.657, 0.983, 0.992, 0.998 at 111
04/03 01:24:19: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:24:27: epoch 113, loss: 1.5277217780594277
04/03 01:24:34: epoch 114, loss: 1.5260906021151923
04/03 01:24:42: epoch 115, loss: 1.5252327908456853
04/03 01:24:50: epoch 116, loss: 1.5247044097005793
04/03 01:25:08: Eval loss: 1.5738986921899112, Eval time: 17.506577
04/03 01:25:08: ### EVAL RESULT: 0.647, 0.984, 0.992, 0.999 at 115
04/03 01:25:08: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:25:15: epoch 117, loss: 1.5244479434680094
04/03 01:25:23: epoch 118, loss: 1.5237214343737713
04/03 01:25:31: epoch 119, loss: 1.5247318858593966
04/03 01:25:39: epoch 120, loss: 1.523283579286221
04/03 01:25:56: Eval loss: 1.5752334594726562, Eval time: 17.542886
04/03 01:25:56: ### EVAL RESULT: 0.653, 0.984, 0.992, 0.998 at 119
04/03 01:25:56: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:26:04: epoch 121, loss: 1.5230727360311862
04/03 01:26:12: epoch 122, loss: 1.5229024135960942
04/03 01:26:20: epoch 123, loss: 1.5228605911795017
04/03 01:26:28: epoch 124, loss: 1.521888078630498
04/03 01:26:45: Eval loss: 1.574729448483314, Eval time: 17.553813
04/03 01:26:45: ### EVAL RESULT: 0.652, 0.983, 0.992, 0.998 at 123
04/03 01:26:45: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:26:53: epoch 125, loss: 1.5221201723655768
04/03 01:27:01: epoch 126, loss: 1.5212303136302308
04/03 01:27:09: epoch 127, loss: 1.5215798399089713
04/03 01:27:17: epoch 128, loss: 1.522028674699564
04/03 01:27:34: Eval loss: 1.5741505563994984, Eval time: 17.546107
04/03 01:27:34: ### EVAL RESULT: 0.651, 0.982, 0.991, 0.998 at 127
04/03 01:27:34: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:27:42: epoch 129, loss: 1.5215431434918294
04/03 01:27:50: epoch 130, loss: 1.5209187646882725
04/03 01:27:58: epoch 131, loss: 1.5213809593588905
04/03 01:28:05: epoch 132, loss: 1.5217779330447712
04/03 01:28:23: Eval loss: 1.5753599567177854, Eval time: 17.400802
04/03 01:28:23: ### EVAL RESULT: 0.659, 0.984, 0.992, 0.998 at 131
04/03 01:28:23: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:28:31: epoch 133, loss: 1.5203007854191604
04/03 01:28:39: epoch 134, loss: 1.520266533108939
04/03 01:28:46: epoch 135, loss: 1.5192226618792104
04/03 01:28:54: epoch 136, loss: 1.5194071932176574
04/03 01:29:12: Eval loss: 1.5695066098813657, Eval time: 17.530437
04/03 01:29:12: ### EVAL RESULT: 0.656, 0.983, 0.993, 0.999 at 135
04/03 01:29:12: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:29:20: epoch 137, loss: 1.5182348050902374
04/03 01:29:27: epoch 138, loss: 1.519775179424117
04/03 01:29:35: epoch 139, loss: 1.5200228790266324
04/03 01:29:43: epoch 140, loss: 1.518211198697048
04/03 01:30:01: Eval loss: 1.5765776457609955, Eval time: 17.495155
04/03 01:30:01: ### EVAL RESULT: 0.663, 0.984, 0.992, 0.998 at 139
04/03 01:30:01: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:30:08: epoch 141, loss: 1.5181697925635145
04/03 01:30:16: epoch 142, loss: 1.5196806120661508
04/03 01:30:24: epoch 143, loss: 1.5195303570907728
04/03 01:30:32: epoch 144, loss: 1.5179387940769702
04/03 01:30:49: Eval loss: 1.577263914508584, Eval time: 17.386406
04/03 01:30:49: ### EVAL RESULT: 0.655, 0.981, 0.992, 0.998 at 143
04/03 01:30:49: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:30:57: epoch 145, loss: 1.5178582965800191
04/03 01:31:05: epoch 146, loss: 1.5184278047190303
04/03 01:31:13: epoch 147, loss: 1.517518624373242
04/03 01:31:21: epoch 148, loss: 1.515681659436859
04/03 01:31:38: Eval loss: 1.5749217845775463, Eval time: 17.463597
04/03 01:31:38: ### EVAL RESULT: 0.670, 0.984, 0.991, 0.998 at 147
04/03 01:31:38: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:31:46: epoch 149, loss: 1.5175269445486828
04/03 01:31:54: epoch 150, loss: 1.5160929384484756
04/03 01:32:02: epoch 151, loss: 1.5160789131063275
04/03 01:32:09: epoch 152, loss: 1.5175383932822573
04/03 01:32:27: Eval loss: 1.574896447452498, Eval time: 17.470851
04/03 01:32:27: ### EVAL RESULT: 0.643, 0.984, 0.992, 0.999 at 151
04/03 01:32:27: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:32:35: epoch 153, loss: 1.517660740413497
04/03 01:32:43: epoch 154, loss: 1.5168691873550415
04/03 01:32:50: epoch 155, loss: 1.5155476989999281
04/03 01:32:58: epoch 156, loss: 1.5163090602486535
04/03 01:33:16: Eval loss: 1.5762379022292148, Eval time: 17.497970
04/03 01:33:16: ### EVAL RESULT: 0.652, 0.983, 0.992, 0.998 at 155
04/03 01:33:16: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:33:23: epoch 157, loss: 1.5158075144860597
04/03 01:33:31: epoch 158, loss: 1.5173191277326736
04/03 01:33:39: epoch 159, loss: 1.5153610725318436
04/03 01:33:47: epoch 160, loss: 1.5163251421092885
04/03 01:34:04: Eval loss: 1.5724624822169175, Eval time: 17.394787
04/03 01:34:04: ### EVAL RESULT: 0.651, 0.983, 0.992, 0.998 at 159
04/03 01:34:04: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:34:12: epoch 161, loss: 1.5137149962703738
04/03 01:34:20: epoch 162, loss: 1.5147427385887213
04/03 01:34:28: epoch 163, loss: 1.5143914857796863
04/03 01:34:36: epoch 164, loss: 1.5136731586625092
04/03 01:34:53: Eval loss: 1.5761228961709104, Eval time: 17.483437
04/03 01:34:53: ### EVAL RESULT: 0.670, 0.984, 0.992, 0.998 at 163
04/03 01:34:53: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:35:01: epoch 165, loss: 1.514079130645347
04/03 01:35:09: epoch 166, loss: 1.5141752226162801
04/03 01:35:17: epoch 167, loss: 1.5150990929223795
04/03 01:35:25: epoch 168, loss: 1.5135955667073748
04/03 01:35:42: Eval loss: 1.5758757414641205, Eval time: 17.241879
04/03 01:35:42: ### EVAL RESULT: 0.652, 0.984, 0.993, 0.998 at 167
04/03 01:35:42: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:35:50: epoch 169, loss: 1.513118717311758
04/03 01:35:58: epoch 170, loss: 1.5138916737210435
04/03 01:36:05: epoch 171, loss: 1.5139559619194638
04/03 01:36:13: epoch 172, loss: 1.5130669800581131
04/03 01:36:31: Eval loss: 1.5762079497914256, Eval time: 17.467092
04/03 01:36:31: ### EVAL RESULT: 0.660, 0.983, 0.992, 0.998 at 171
04/03 01:36:31: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:36:38: epoch 173, loss: 1.5128621968547855
04/03 01:36:46: epoch 174, loss: 1.512168869930031
04/03 01:36:54: epoch 175, loss: 1.5126075577946891
04/03 01:37:02: epoch 176, loss: 1.5118933926641414
04/03 01:37:19: Eval loss: 1.5760973706657504, Eval time: 17.615687
04/03 01:37:20: ### EVAL RESULT: 0.656, 0.981, 0.992, 0.998 at 175
04/03 01:37:20: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:37:27: epoch 177, loss: 1.5121879837154286
04/03 01:37:35: epoch 178, loss: 1.5120109150894976
04/03 01:37:43: epoch 179, loss: 1.5122118897142665
04/03 01:37:51: epoch 180, loss: 1.5117223298655147
04/03 01:38:09: Eval loss: 1.5782975561824846, Eval time: 17.860714
04/03 01:38:09: ### EVAL RESULT: 0.663, 0.983, 0.992, 0.998 at 179
04/03 01:38:09: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:38:17: epoch 181, loss: 1.5117442069855411
04/03 01:38:25: epoch 182, loss: 1.5117953667598487
04/03 01:38:32: epoch 183, loss: 1.5118320910276566
04/03 01:38:40: epoch 184, loss: 1.51155047437786
04/03 01:38:58: Eval loss: 1.5764034883475597, Eval time: 17.463410
04/03 01:38:58: ### EVAL RESULT: 0.654, 0.983, 0.992, 0.998 at 183
04/03 01:38:58: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:39:06: epoch 185, loss: 1.5120597041813673
04/03 01:39:13: epoch 186, loss: 1.5121969100648323
04/03 01:39:21: epoch 187, loss: 1.5108135016618576
04/03 01:39:29: epoch 188, loss: 1.5113784817467748
04/03 01:39:47: Eval loss: 1.5779556462794175, Eval time: 17.626637
04/03 01:39:47: ### EVAL RESULT: 0.652, 0.984, 0.992, 0.998 at 187
04/03 01:39:47: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:39:55: epoch 189, loss: 1.511650722216716
04/03 01:40:02: epoch 190, loss: 1.511777185971758
04/03 01:40:10: epoch 191, loss: 1.5124050748031752
04/03 01:40:18: epoch 192, loss: 1.5114485894684242
04/03 01:40:35: Eval loss: 1.573830121829186, Eval time: 17.557626
04/03 01:40:36: ### EVAL RESULT: 0.642, 0.983, 0.992, 0.998 at 191
04/03 01:40:36: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:40:43: epoch 193, loss: 1.510433327835218
04/03 01:40:51: epoch 194, loss: 1.5098140695453746
04/03 01:40:59: epoch 195, loss: 1.5112790103507252
04/03 01:41:07: epoch 196, loss: 1.5113501027622054
04/03 01:41:24: Eval loss: 1.5762728467399691, Eval time: 17.505648
04/03 01:41:24: ### EVAL RESULT: 0.644, 0.983, 0.992, 0.998 at 195
04/03 01:41:24: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:41:32: epoch 197, loss: 1.5103663060517438
04/03 01:41:40: epoch 198, loss: 1.5094791363825841
04/03 01:41:48: epoch 199, loss: 1.511125914185448
04/03 01:41:56: epoch 200, loss: 1.511021282609585
04/03 01:42:13: Eval loss: 1.5810490360966436, Eval time: 17.461352
04/03 01:42:13: ### EVAL RESULT: 0.645, 0.984, 0.993, 0.998 at 199
04/03 01:42:13: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:42:21: epoch 201, loss: 1.5103990371248364
04/03 01:42:29: epoch 202, loss: 1.5084727907602766
04/03 01:42:37: epoch 203, loss: 1.5094138350106974
04/03 01:42:45: epoch 204, loss: 1.5091758985435013
04/03 01:43:02: Eval loss: 1.5775417751736112, Eval time: 17.549234
04/03 01:43:02: ### EVAL RESULT: 0.649, 0.984, 0.993, 0.998 at 203
04/03 01:43:02: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:43:10: epoch 205, loss: 1.5084385076455311
04/03 01:43:18: epoch 206, loss: 1.5095581432359408
04/03 01:43:26: epoch 207, loss: 1.5093008393734957
04/03 01:43:33: epoch 208, loss: 1.5082126216550844
04/03 01:43:51: Eval loss: 1.5728709844895352, Eval time: 17.461688
04/03 01:43:51: ### EVAL RESULT: 0.649, 0.981, 0.992, 0.998 at 207
04/03 01:43:51: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:43:59: epoch 209, loss: 1.5082581745839752
04/03 01:44:07: epoch 210, loss: 1.5095264590946973
04/03 01:44:14: epoch 211, loss: 1.5083808344022362
04/03 01:44:22: epoch 212, loss: 1.5097958855924354
04/03 01:44:40: Eval loss: 1.577141750006028, Eval time: 17.498505
04/03 01:44:40: ### EVAL RESULT: 0.642, 0.983, 0.992, 0.998 at 211
04/03 01:44:40: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:44:48: epoch 213, loss: 1.5087461596041654
04/03 01:44:55: epoch 214, loss: 1.5087331908994017
04/03 01:45:03: epoch 215, loss: 1.508924886188676
04/03 01:45:11: epoch 216, loss: 1.5079979314213305
04/03 01:45:28: Eval loss: 1.5771256435064622, Eval time: 17.441838
04/03 01:45:29: ### EVAL RESULT: 0.663, 0.983, 0.992, 0.998 at 215
04/03 01:45:29: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:45:36: epoch 217, loss: 1.5090185950287676
04/03 01:45:44: epoch 218, loss: 1.5083794346952861
04/03 01:45:52: epoch 219, loss: 1.5073274589217869
04/03 01:46:00: epoch 220, loss: 1.508632221053132
04/03 01:46:17: Eval loss: 1.5805061246141976, Eval time: 17.467902
04/03 01:46:17: ### EVAL RESULT: 0.657, 0.983, 0.992, 0.998 at 219
04/03 01:46:17: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:46:25: epoch 221, loss: 1.508309821322956
04/03 01:46:33: epoch 222, loss: 1.5085741899709786
04/03 01:46:41: epoch 223, loss: 1.5079882362247568
04/03 01:46:49: epoch 224, loss: 1.507116823069817
04/03 01:47:06: Eval loss: 1.5798136393229167, Eval time: 17.547595
04/03 01:47:06: ### EVAL RESULT: 0.642, 0.984, 0.992, 0.998 at 223
04/03 01:47:06: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:47:14: epoch 225, loss: 1.5069691510327095
04/03 01:47:22: epoch 226, loss: 1.506748295674282
04/03 01:47:30: epoch 227, loss: 1.5059815875196878
04/03 01:47:38: epoch 228, loss: 1.5064405567878116
04/03 01:47:55: Eval loss: 1.5881166811342593, Eval time: 17.428584
04/03 01:47:55: ### EVAL RESULT: 0.647, 0.982, 0.992, 0.998 at 227
04/03 01:47:55: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:48:03: epoch 229, loss: 1.5081214890015864
04/03 01:48:11: epoch 230, loss: 1.5059045097469228
04/03 01:48:19: epoch 231, loss: 1.5082869455877659
04/03 01:48:26: epoch 232, loss: 1.5083839773076826
04/03 01:48:44: Eval loss: 1.5801268212589217, Eval time: 17.441932
04/03 01:48:44: ### EVAL RESULT: 0.655, 0.982, 0.992, 0.998 at 231
04/03 01:48:44: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:48:52: epoch 233, loss: 1.5068980864718953
04/03 01:49:00: epoch 234, loss: 1.5062926264990748
04/03 01:49:07: epoch 235, loss: 1.5067983365691868
04/03 01:49:15: epoch 236, loss: 1.5083674635507365
04/03 01:49:33: Eval loss: 1.5808350362895447, Eval time: 17.407978
04/03 01:49:33: ### EVAL RESULT: 0.645, 0.984, 0.992, 0.998 at 235
04/03 01:49:33: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:49:41: epoch 237, loss: 1.506267365945124
04/03 01:49:48: epoch 238, loss: 1.506788596220776
04/03 01:49:56: epoch 239, loss: 1.507163044414689
04/03 01:50:04: epoch 240, loss: 1.5081141703951675
04/03 01:50:22: Eval loss: 1.5776631861557195, Eval time: 17.486863
04/03 01:50:22: ### EVAL RESULT: 0.657, 0.983, 0.992, 0.998 at 239
04/03 01:50:22: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:50:30: epoch 241, loss: 1.5064778602228754
04/03 01:50:38: epoch 242, loss: 1.5062066354582795
04/03 01:50:45: epoch 243, loss: 1.5081749342184152
04/03 01:50:53: epoch 244, loss: 1.5063793226680924
04/03 01:51:11: Eval loss: 1.581000245647666, Eval time: 17.570114
04/03 01:51:11: ### EVAL RESULT: 0.656, 0.984, 0.992, 0.998 at 243
04/03 01:51:11: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:51:18: epoch 245, loss: 1.5050004821963014
04/03 01:51:26: epoch 246, loss: 1.5055663859949702
04/03 01:51:34: epoch 247, loss: 1.5049511428427906
04/03 01:51:42: epoch 248, loss: 1.506569979887093
04/03 01:51:59: Eval loss: 1.5809591787832755, Eval time: 17.409271
04/03 01:51:59: ### EVAL RESULT: 0.652, 0.983, 0.992, 0.998 at 247
04/03 01:51:59: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:52:07: epoch 249, loss: 1.505189950698245
04/03 01:52:15: epoch 250, loss: 1.5059404311981877
04/03 01:52:23: epoch 251, loss: 1.5071810566218553
04/03 01:52:31: epoch 252, loss: 1.5065047658650221
04/03 01:52:48: Eval loss: 1.585346551589024, Eval time: 17.430960
04/03 01:52:48: ### EVAL RESULT: 0.654, 0.983, 0.992, 0.998 at 251
04/03 01:52:48: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:52:56: epoch 253, loss: 1.5058994417696927
04/03 01:53:04: epoch 254, loss: 1.5066407532818549
04/03 01:53:12: epoch 255, loss: 1.506947822064425
04/03 01:53:19: epoch 256, loss: 1.5047808678804246
04/03 01:53:37: Eval loss: 1.5819131356698495, Eval time: 17.458679
04/03 01:53:37: ### EVAL RESULT: 0.649, 0.983, 0.992, 0.998 at 255
04/03 01:53:37: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:53:45: epoch 257, loss: 1.5061842899406905
04/03 01:53:53: epoch 258, loss: 1.5058475192669218
04/03 01:54:00: epoch 259, loss: 1.5054240625516504
04/03 01:54:08: epoch 260, loss: 1.507309755392834
04/03 01:54:26: Eval loss: 1.5785993411217207, Eval time: 17.420986
04/03 01:54:26: ### EVAL RESULT: 0.648, 0.984, 0.992, 0.998 at 259
04/03 01:54:26: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:54:34: epoch 261, loss: 1.5066091948905878
04/03 01:54:41: epoch 262, loss: 1.50424134203818
04/03 01:54:49: epoch 263, loss: 1.50448461443977
04/03 01:54:57: epoch 264, loss: 1.5061159644506674
04/03 01:55:15: Eval loss: 1.578279377501688, Eval time: 17.409067
04/03 01:55:15: ### EVAL RESULT: 0.649, 0.983, 0.993, 0.998 at 263
04/03 01:55:15: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:55:22: epoch 265, loss: 1.5047497525679328
04/03 01:55:30: epoch 266, loss: 1.505181541485069
04/03 01:55:38: epoch 267, loss: 1.5065431765750446
04/03 01:55:46: epoch 268, loss: 1.504942796504603
04/03 01:56:03: Eval loss: 1.5811579198013117, Eval time: 17.564383
04/03 01:56:04: ### EVAL RESULT: 0.638, 0.983, 0.992, 0.998 at 267
04/03 01:56:04: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:56:11: epoch 269, loss: 1.5056874178152169
04/03 01:56:19: epoch 270, loss: 1.505071711751212
04/03 01:56:27: epoch 271, loss: 1.5051330235152118
04/03 01:56:35: epoch 272, loss: 1.505335050346577
04/03 01:56:52: Eval loss: 1.5776393560715665, Eval time: 17.547280
04/03 01:56:53: ### EVAL RESULT: 0.653, 0.984, 0.992, 0.998 at 271
04/03 01:56:53: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:57:00: epoch 273, loss: 1.5043164097102342
04/03 01:57:08: epoch 274, loss: 1.505524790181523
04/03 01:57:16: epoch 275, loss: 1.5046367200074997
04/03 01:57:24: epoch 276, loss: 1.5054588433915534
04/03 01:57:41: Eval loss: 1.581706859447338, Eval time: 17.490829
04/03 01:57:42: ### EVAL RESULT: 0.656, 0.983, 0.992, 0.998 at 275
04/03 01:57:42: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:57:49: epoch 277, loss: 1.5054015665982676
04/03 01:57:57: epoch 278, loss: 1.5043249111259933
04/03 01:58:05: epoch 279, loss: 1.5050083841897746
04/03 01:58:13: epoch 280, loss: 1.5037594852194323
04/03 01:58:30: Eval loss: 1.581403002326871, Eval time: 17.475205
04/03 01:58:30: ### EVAL RESULT: 0.656, 0.983, 0.991, 0.998 at 279
04/03 01:58:30: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:58:38: epoch 281, loss: 1.5059555551647086
04/03 01:58:46: epoch 282, loss: 1.5053388068106321
04/03 01:58:54: epoch 283, loss: 1.5044295270886041
04/03 01:59:02: epoch 284, loss: 1.5056613339787035
04/03 01:59:19: Eval loss: 1.5776649757667824, Eval time: 17.442021
04/03 01:59:19: ### EVAL RESULT: 0.652, 0.983, 0.992, 0.998 at 283
04/03 01:59:19: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 01:59:27: epoch 285, loss: 1.5044882261647587
04/03 01:59:35: epoch 286, loss: 1.5042534598207051
04/03 01:59:43: epoch 287, loss: 1.504326558746068
04/03 01:59:51: epoch 288, loss: 1.504420982419917
04/03 02:00:08: Eval loss: 1.5794472400053048, Eval time: 17.498159
04/03 02:00:08: ### EVAL RESULT: 0.654, 0.984, 0.992, 0.998 at 287
04/03 02:00:08: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 02:00:16: epoch 289, loss: 1.505324724923193
04/03 02:00:24: epoch 290, loss: 1.5038112631941263
04/03 02:00:32: epoch 291, loss: 1.504026738310282
04/03 02:00:39: epoch 292, loss: 1.504635215016593
04/03 02:00:57: Eval loss: 1.580156491126543, Eval time: 17.470921
04/03 02:00:57: ### EVAL RESULT: 0.659, 0.983, 0.992, 0.998 at 291
04/03 02:00:57: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 02:01:05: epoch 293, loss: 1.504151074865223
04/03 02:01:13: epoch 294, loss: 1.5047499873996837
04/03 02:01:20: epoch 295, loss: 1.5058094417099404
04/03 02:01:28: epoch 296, loss: 1.5051929923285425
04/03 02:01:46: Eval loss: 1.5789255212854456, Eval time: 17.520845
04/03 02:01:46: ### EVAL RESULT: 0.653, 0.983, 0.992, 0.998 at 295
04/03 02:01:46: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 02:01:54: epoch 297, loss: 1.504193996961138
04/03 02:02:01: epoch 298, loss: 1.504629768312505
04/03 02:02:09: epoch 299, loss: 1.505472944690063
04/03 02:02:17: epoch 300, loss: 1.5048426170264726
04/03 02:02:35: Eval loss: 1.5837238453052662, Eval time: 17.465635
04/03 02:02:35: ### EVAL RESULT: 0.665, 0.984, 0.992, 0.998 at 299
04/03 02:02:35: ### BEST RESULT: 0.673, 0.984, 0.993, 0.999 at 51
04/03 02:02:35: global_step = 169500, average loss = 1.981248374545117
04/03 10:27:12: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 10:35:22: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 10:36:24: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 10:39:18: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 10:39:58: ========Process rank: -1, device: cuda:0，16-bits training: False========
04/03 10:40:23: loss_565: 38.858962361158525, epoch 1: 565/565