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Model: millat/mistral-7b-indian-university-guidance
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2026-06-20 04:15:17 +08:00
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step,epoch,loss,eval_loss,learning_rate,grad_norm,gpu_memory_gb,ram_percent,timestamp
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655,1.6511,0.3239,,1.5327580077171587e-05,0.382,4.8,36.4,2026-01-24T09:05:28.250348
660,1.6637,0.3384,,1.4278683988933483e-05,0.4026,4.8,36.4,2026-01-24T09:05:59.845840
665,1.6763,0.3049,,1.3264197683414914e-05,0.4293,4.8,36.2,2026-01-24T09:06:31.052844
670,1.689,0.3324,,1.2284528390170547e-05,0.4361,4.8,36.3,2026-01-24T09:07:03.152372
675,1.7016,0.3216,,1.134006936269999e-05,0.446,4.8,36.4,2026-01-24T09:07:33.216555
680,1.7142,0.3559,,1.0431199720590324e-05,0.4852,4.8,36.4,2026-01-24T09:08:03.533883
685,1.7268,0.3253,,9.55828429733171e-06,0.4339,4.8,36.4,2026-01-24T09:08:36.242959
690,1.7394,0.3222,,8.72167349386811e-06,0.4377,4.8,36.3,2026-01-24T09:09:07.799863
695,1.7521,0.3433,,7.921703137941173e-06,0.4509,4.8,36.3,2026-01-24T09:09:40.910169
700,1.7647,0.3485,,7.158694349284145e-06,0.416,4.8,36.2,2026-01-24T09:10:11.519862
700,1.7647,0,0.378981,0,,4.8,36.1,2026-01-24T09:12:27.740325
705,1.7773,0.3362,,6.4329534107196776e-06,0.528,4.8,36.4,2026-01-24T09:13:04.866270
710,1.7899,0.3697,,5.744771645213498e-06,0.3746,4.8,36.4,2026-01-24T09:13:36.341660
705,1.7773,0.3362,,6.4329534107196776e-06,0.528,4.8,39.4,2026-01-24T09:24:29.117337
710,1.7899,0.3697,,5.744771645213498e-06,0.3746,4.8,35.8,2026-01-24T09:25:04.331844
715,1.8025,0.3305,,5.094425298933136e-06,0.546,4.8,36.0,2026-01-24T09:25:37.666276
720,1.8151,0.3573,,4.48217543035867e-06,0.5923,4.8,36.1,2026-01-24T09:26:11.525683
725,1.8278,0.3588,,3.908267805490051e-06,0.4612,4.8,35.6,2026-01-24T09:26:46.250307
730,1.8404,0.3293,,3.372932799193096e-06,0.4535,4.8,35.3,2026-01-24T09:27:21.044835
735,1.853,0.3286,,2.876385302723628e-06,0.4888,4.8,35.4,2026-01-24T09:27:56.499019
740,1.8656,0.3739,,2.418824637467021e-06,0.5054,4.8,35.4,2026-01-24T09:28:30.587996
745,1.8782,0.3495,,2.0004344749277038e-06,0.4369,4.8,35.4,2026-01-24T09:29:05.758304
750,1.8909,0.3455,,1.6213827630007006e-06,0.4057,4.8,35.3,2026-01-24T09:29:40.138658
750,1.8909,0,0.375727,0,,4.8,36.2,2026-01-24T09:32:10.960843
755,1.9035,0.3478,,1.2818216585549825e-06,0.4755,4.8,36.3,2026-01-24T09:32:58.210049
760,1.9161,0.3945,,9.818874663554357e-07,0.411,4.8,36.4,2026-01-24T09:33:32.071960
765,1.9287,0.3643,,7.217005843481506e-07,0.6012,4.8,36.5,2026-01-24T09:34:05.829631
770,1.9413,0.3985,,5.013654553309155e-07,0.4998,4.8,36.5,2026-01-24T09:34:40.561584
775,1.9539,0.3645,,3.2097052502843007e-07,0.6693,4.8,36.3,2026-01-24T09:35:14.012397
780,1.9666,0.3662,,1.805882065888276e-07,0.6073,4.8,36.5,2026-01-24T09:35:48.070822
785,1.9792,0.3323,,8.027485151603787e-08,0.4929,4.8,36.5,2026-01-24T09:36:23.023545
790,1.9918,0.294,,2.007072704942603e-08,0.3761,4.8,36.4,2026-01-24T09:36:59.067819
794,2.0,0,,0,,4.8,36.1,2026-01-24T09:37:25.604124
794,2.0,0,0.375727,0,,4.63,36.5,2026-01-24T09:40:00.402848
795,2.0025,0.3075,,0.0,0.4226,5.07,44.6,2026-01-24T09:47:41.902179
800,2.0151,0.3087,,4.961653851818826e-05,0.4685,5.07,38.8,2026-01-24T09:48:18.512913
800,2.0151,0,0.385498,0,,5.07,42.5,2026-01-24T09:50:50.309075
805,2.0278,0.3242,,4.8472126170390365e-05,0.6279,5.07,44.5,2026-01-24T09:51:28.164648
810,2.0404,0.3122,,4.733682922360282e-05,0.504,5.07,44.3,2026-01-24T09:52:01.448376
815,2.053,0.3247,,4.621084851450229e-05,0.4959,5.07,44.1,2026-01-24T09:52:37.457909
820,2.0656,0.3181,,4.509438323170131e-05,0.3859,5.07,44.1,2026-01-24T09:53:12.097669
825,2.0782,0.3175,,4.398763088051127e-05,0.5298,5.07,44.2,2026-01-24T09:53:46.235797
830,2.0909,0.3379,,4.2890787248003316e-05,0.5876,5.07,44.0,2026-01-24T09:54:19.074496
835,2.1035,0.3155,,4.1804046368373206e-05,0.4994,5.07,44.2,2026-01-24T09:54:53.024240
840,2.1161,0.306,,4.072760048861613e-05,0.4292,5.07,38.0,2026-01-24T09:55:28.617862
845,2.1287,0.2912,,3.9661640034517754e-05,0.4558,5.07,38.0,2026-01-24T09:56:02.591890
850,2.1413,0.3125,,3.860635357696756e-05,0.4979,5.07,37.9,2026-01-24T09:56:38.089977
850,2.1413,0,0.390403,0,,5.07,37.8,2026-01-24T09:59:08.717064
855,2.1539,0.3081,,3.7561927798600136e-05,0.4905,5.07,40.7,2026-01-24T09:59:54.650362
860,2.1666,0.3101,,3.652854746077063e-05,0.418,5.07,40.7,2026-01-24T10:00:28.656523
865,2.1792,0.321,,3.550639537086996e-05,0.5259,5.07,40.6,2026-01-24T10:01:00.743349
870,2.1918,0.2998,,3.449565234998584e-05,0.4254,5.07,40.6,2026-01-24T10:01:34.707830
875,2.2044,0.2875,,3.349649720091507e-05,0.4772,5.07,40.4,2026-01-24T10:02:10.488097
880,2.217,0.3301,,3.25091066765329e-05,0.5997,5.07,40.6,2026-01-24T10:02:43.527800
885,2.2297,0.3124,,3.1533655448525057e-05,0.4934,5.07,40.6,2026-01-24T10:03:17.932544
890,2.2423,0.3235,,3.0570316076487913e-05,0.5403,5.07,40.5,2026-01-24T10:03:54.161651
895,2.2549,0.3139,,2.9619258977402253e-05,0.5891,5.07,40.5,2026-01-24T10:04:28.680549
900,2.2675,0.3078,,2.8680652395486195e-05,0.5591,5.07,40.6,2026-01-24T10:05:03.434653
900,2.2675,0,0.384282,0,,5.07,40.6,2026-01-24T10:07:34.042034
905,2.2801,0.2974,,2.7754662372432262e-05,0.4884,5.07,40.7,2026-01-24T10:08:21.014692
910,2.2927,0.3265,,2.6841452718034345e-05,0.5818,5.07,40.7,2026-01-24T10:08:54.713791
915,2.3054,0.2984,,2.5941184981209354e-05,0.4432,5.07,40.7,2026-01-24T10:09:28.578033
920,2.318,0.2988,,2.5054018421418736e-05,0.4151,5.07,40.7,2026-01-24T10:10:02.224530
925,2.3306,0.2909,,2.418010998049529e-05,0.4538,5.07,40.6,2026-01-24T10:10:36.200565
930,2.3432,0.3014,,2.3319614254879564e-05,0.4251,5.07,40.4,2026-01-24T10:11:09.616637
935,2.3558,0.3084,,2.2472683468271583e-05,0.5874,5.07,40.6,2026-01-24T10:11:46.441028
940,2.3685,0.2792,,2.1639467444701935e-05,0.4004,5.07,40.7,2026-01-24T10:12:21.177738
945,2.3811,0.3307,,2.0820113582027732e-05,0.4035,5.07,40.7,2026-01-24T10:12:55.719904
950,2.3937,0.2959,,2.001476682585751e-05,0.4056,5.07,40.6,2026-01-24T10:13:29.766563
950,2.3937,0,0.380848,0,,5.07,40.7,2026-01-24T10:16:00.442490
955,2.4063,0.3184,,1.9223569643909976e-05,0.5556,5.07,40.9,2026-01-24T10:16:46.431197
960,2.4189,0.3087,,1.8446662000811176e-05,0.4703,5.07,40.9,2026-01-24T10:17:20.545798
965,2.4315,0.2931,,1.7684181333334438e-05,0.4308,5.07,40.9,2026-01-24T10:17:52.692154
970,2.4442,0.2797,,1.6936262526087432e-05,0.4192,5.07,40.9,2026-01-24T10:18:28.825783
975,2.4568,0.3237,,1.6203037887650842e-05,0.4803,5.07,40.9,2026-01-24T10:19:02.557476
980,2.4694,0.3137,,1.5484637127172607e-05,0.4733,5.07,40.7,2026-01-24T10:19:35.084585
985,2.482,0.3107,,1.4781187331422108e-05,0.453,5.07,40.8,2026-01-24T10:20:09.170025
990,2.4946,0.291,,1.4092812942308209e-05,0.6439,5.07,40.8,2026-01-24T10:20:42.819006
995,2.5073,0.3042,,1.3419635734865199e-05,0.46,5.07,40.7,2026-01-24T10:21:15.429787
1000,2.5199,0.2947,,1.2761774795710502e-05,0.5008,5.07,40.7,2026-01-24T10:21:49.009977
1000,2.5199,0,0.378141,0,,5.07,40.7,2026-01-24T10:24:19.764482
1005,2.5325,0.3105,,1.2119346501977913e-05,0.4976,5.07,40.6,2026-01-24T10:24:59.819628
1010,2.5451,0.3056,,1.149246450073036e-05,0.4437,5.07,40.8,2026-01-24T10:25:34.743772
1015,2.5577,0.3169,,1.0881239688855338e-05,0.5061,5.07,40.6,2026-01-24T10:26:07.436669
1020,2.5703,0.3064,,1.028578019344706e-05,0.4808,5.07,40.9,2026-01-24T10:26:41.267222
1025,2.583,0.2946,,9.706191352678496e-06,0.4694,5.07,40.9,2026-01-24T10:27:16.528465
1030,2.5956,0.3067,,9.1425756971668e-06,0.4731,5.07,40.8,2026-01-24T10:27:50.009304
1035,2.6082,0.3105,,8.595032931835424e-06,0.6241,5.07,40.6,2026-01-24T10:28:22.262972
1040,2.6208,0.3075,,8.063659918276057e-06,0.4459,5.07,40.8,2026-01-24T10:28:54.897649
1045,2.6334,0.3018,,7.548550657613651e-06,0.5467,5.07,40.8,2026-01-24T10:29:27.885062
1050,2.6461,0.3251,,7.049796273877296e-06,0.6521,5.07,40.7,2026-01-24T10:29:59.084488
1050,2.6461,0,0.376228,0,,5.07,40.7,2026-01-24T10:32:29.314179
1055,2.6587,0.2916,,6.567484997880247e-06,0.5002,5.07,41.0,2026-01-24T10:33:10.051426
1060,2.6713,0.3052,,6.101702151611688e-06,0.5857,5.07,40.9,2026-01-24T10:33:45.554972
1065,2.6839,0.296,,5.6525301331430414e-06,0.4884,5.07,40.9,2026-01-24T10:34:17.763644
1070,2.6965,0.3054,,5.220048402051503e-06,0.5567,5.07,40.9,2026-01-24T10:34:51.623559
1075,2.7091,0.2839,,4.804333465363609e-06,0.5066,5.07,40.8,2026-01-24T10:35:26.474714
1080,2.7218,0.2944,,4.405458864020828e-06,0.4811,5.07,40.9,2026-01-24T10:35:59.023123
1085,2.7344,0.2868,,4.023495159870072e-06,0.5659,5.07,41.0,2026-01-24T10:36:32.379711
1090,2.747,0.2899,,3.658509923181086e-06,0.5701,5.07,40.9,2026-01-24T10:37:07.008912
1095,2.7596,0.323,,3.3105677206931697e-06,0.5335,5.07,40.8,2026-01-24T10:37:43.152810
1100,2.7722,0.2995,,2.9797301041930904e-06,0.5679,5.07,40.8,2026-01-24T10:38:17.442476
1100,2.7722,0,0.375654,0,,5.07,40.9,2026-01-24T10:40:47.803202
1105,2.7849,0.2799,,2.6660555996265267e-06,0.4072,5.07,40.8,2026-01-24T10:41:26.233610
1110,2.7975,0.2857,,2.3695996967446177e-06,0.4766,5.07,40.7,2026-01-24T10:41:59.258242
1115,2.8101,0.2893,,2.0904148392877355e-06,0.4861,5.07,40.6,2026-01-24T10:42:33.456528
1120,2.8227,0.3118,,1.8285504157080414e-06,0.5248,5.07,40.7,2026-01-24T10:43:07.919538
1125,2.8353,0.2831,,1.5840527504325631e-06,0.4966,5.07,40.9,2026-01-24T10:43:43.372234
1130,2.8479,0.3088,,1.3569650956682944e-06,0.4681,5.07,40.8,2026-01-24T10:44:17.958777
1135,2.8606,0.296,,1.1473276237507934e-06,0.4923,5.07,40.9,2026-01-24T10:44:51.761695
1140,2.8732,0.2957,,9.551774200375896e-07,0.5428,5.07,40.7,2026-01-24T10:45:23.967112
1145,2.8858,0.3266,,7.805484763476755e-07,0.5059,5.07,40.9,2026-01-24T10:45:58.050528
1150,2.8984,0.2961,,6.23471684948318e-07,0.4618,5.07,40.9,2026-01-24T10:46:31.633032
1150,2.8984,0,0.375353,0,,5.07,40.8,2026-01-24T10:49:02.495259
1155,2.911,0.296,,4.839748330901172e-07,0.5228,5.07,40.9,2026-01-24T10:49:41.479475
1160,2.9237,0.2968,,3.6208259809139557e-07,0.4797,5.07,40.9,2026-01-24T10:50:15.715542
1165,2.9363,0.2791,,2.5781654297267754e-07,0.5081,5.07,41.0,2026-01-24T10:50:50.906827
1170,2.9489,0.2964,,1.7119511264220844e-07,0.6436,5.07,40.7,2026-01-24T10:51:25.605806
1175,2.9615,0.3137,,1.0223363063295299e-07,0.4269,5.07,40.9,2026-01-24T10:51:59.686593
1180,2.9741,0.2946,,5.094429639186382e-08,0.5536,5.07,40.9,2026-01-24T10:52:34.376992
1185,2.9868,0.313,,1.7336183121730022e-08,0.4989,5.07,40.9,2026-01-24T10:53:07.743107
1190,2.9994,0.2985,,1.4152361761388122e-09,0.5387,5.07,40.8,2026-01-24T10:53:42.997979
1191,3.0,0,,0,,5.07,40.8,2026-01-24T10:53:49.244055
1191,3.0,0,0.375353,0,,4.9,38.5,2026-01-24T10:56:23.199290
1 step epoch loss eval_loss learning_rate grad_norm gpu_memory_gb ram_percent timestamp
2 5 0.0126 1.9168 8e-05 2.5191 4.8 36.5 2026-01-23T08:00:00.854026
3 10 0.0252 1.0361 0.00018 1.1058 4.8 36.8 2026-01-23T08:00:33.149390
4 15 0.0379 0.7093 0.00019994728555448722 0.793 4.8 36.7 2026-01-23T08:01:04.889150
5 20 0.0505 0.6154 0.00019973322836635518 0.8553 4.8 36.7 2026-01-23T08:01:38.618679
6 25 0.0631 0.5921 0.00019935488611598715 0.7445 4.8 36.8 2026-01-23T08:02:11.533227
7 30 0.0757 0.5827 0.00019881288202576518 0.6602 4.8 36.7 2026-01-23T08:02:44.123668
8 35 0.0883 0.5111 0.00019810810890921943 0.9072 4.8 36.7 2026-01-23T08:03:14.965076
9 40 0.1009 0.5045 0.00019724172770034566 0.536 4.8 36.8 2026-01-23T08:03:46.892036
10 45 0.1136 0.5077 0.00019621516554126238 0.56 4.8 36.5 2026-01-23T08:04:18.516651
11 50 0.1262 0.5044 0.00019503011343135825 0.4953 4.8 36.9 2026-01-23T08:04:51.040696
12 50 0.1262 0 0.485016 0 4.8 36.8 2026-01-23T08:07:11.451233
13 55 0.1388 0.4785 0.0001936885234418017 0.5567 4.8 36.8 2026-01-23T08:07:48.128953
14 60 0.1514 0.4746 0.00019219260550000145 0.4238 4.8 36.8 2026-01-23T08:08:21.575662
15 65 0.164 0.4666 0.00019054482374931467 0.5207 4.8 36.8 2026-01-23T08:08:53.385785
16 70 0.1767 0.4631 0.00018874789248999916 0.4811 4.8 36.8 2026-01-23T08:09:26.470560
17 75 0.1893 0.489 0.00018680477170809575 0.4866 4.8 36.7 2026-01-23T08:09:57.705570
18 80 0.2019 0.4868 0.00018471866219960602 0.6245 4.8 36.8 2026-01-23T08:10:27.037603
19 85 0.2145 0.4278 0.00018249300029799735 0.4381 4.8 36.8 2026-01-23T08:10:59.122078
20 90 0.2271 0.462 0.00018013145221371937 0.491 4.8 36.8 2026-01-23T08:11:32.047963
21 95 0.2397 0.4813 0.00017763790799505747 0.5078 4.8 36.8 2026-01-23T08:12:02.936928
22 100 0.2524 0.4653 0.00017501647512026996 0.4709 4.8 36.9 2026-01-23T08:12:36.245423
23 100 0.2524 0 0.448811 0 4.8 36.8 2026-01-23T08:14:56.898463
24 105 0.265 0.4807 0.00017227147173156523 0.4906 4.8 36.8 2026-01-23T08:15:32.015597
25 110 0.2776 0.4357 0.0001694074195220634 0.4688 4.8 36.9 2026-01-23T08:16:05.223856
26 115 0.2902 0.4286 0.00016642903628745994 0.4749 4.8 36.8 2026-01-23T08:16:35.874313
27 120 0.3028 0.4678 0.00016334122815466032 0.521 4.8 36.8 2026-01-23T08:17:08.266808
28 125 0.3155 0.4372 0.00016014908150018703 0.5052 4.8 36.8 2026-01-23T08:17:40.563204
29 130 0.3281 0.4309 0.00015685785457167115 0.3877 4.8 36.9 2026-01-23T08:18:13.554900
30 135 0.3407 0.4248 0.00015347296882623016 0.4075 4.8 36.8 2026-01-23T08:18:46.584606
31 140 0.3533 0.4486 0.00015000000000000001 0.4188 4.8 36.8 2026-01-23T08:19:18.643225
32 145 0.3659 0.4346 0.00014644466892353142 0.4347 4.8 36.8 2026-01-23T08:19:50.903217
33 150 0.3785 0.4279 0.0001428128320981804 0.4597 4.8 36.8 2026-01-23T08:20:23.662851
34 150 0.3785 0 0.430989 0 4.8 36.5 2026-01-23T08:22:44.291268
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207 895 2.2549 0.3139 2.9619258977402253e-05 0.5891 5.07 40.5 2026-01-24T10:04:28.680549
208 900 2.2675 0.3078 2.8680652395486195e-05 0.5591 5.07 40.6 2026-01-24T10:05:03.434653
209 900 2.2675 0 0.384282 0 5.07 40.6 2026-01-24T10:07:34.042034
210 905 2.2801 0.2974 2.7754662372432262e-05 0.4884 5.07 40.7 2026-01-24T10:08:21.014692
211 910 2.2927 0.3265 2.6841452718034345e-05 0.5818 5.07 40.7 2026-01-24T10:08:54.713791
212 915 2.3054 0.2984 2.5941184981209354e-05 0.4432 5.07 40.7 2026-01-24T10:09:28.578033
213 920 2.318 0.2988 2.5054018421418736e-05 0.4151 5.07 40.7 2026-01-24T10:10:02.224530
214 925 2.3306 0.2909 2.418010998049529e-05 0.4538 5.07 40.6 2026-01-24T10:10:36.200565
215 930 2.3432 0.3014 2.3319614254879564e-05 0.4251 5.07 40.4 2026-01-24T10:11:09.616637
216 935 2.3558 0.3084 2.2472683468271583e-05 0.5874 5.07 40.6 2026-01-24T10:11:46.441028
217 940 2.3685 0.2792 2.1639467444701935e-05 0.4004 5.07 40.7 2026-01-24T10:12:21.177738
218 945 2.3811 0.3307 2.0820113582027732e-05 0.4035 5.07 40.7 2026-01-24T10:12:55.719904
219 950 2.3937 0.2959 2.001476682585751e-05 0.4056 5.07 40.6 2026-01-24T10:13:29.766563
220 950 2.3937 0 0.380848 0 5.07 40.7 2026-01-24T10:16:00.442490
221 955 2.4063 0.3184 1.9223569643909976e-05 0.5556 5.07 40.9 2026-01-24T10:16:46.431197
222 960 2.4189 0.3087 1.8446662000811176e-05 0.4703 5.07 40.9 2026-01-24T10:17:20.545798
223 965 2.4315 0.2931 1.7684181333334438e-05 0.4308 5.07 40.9 2026-01-24T10:17:52.692154
224 970 2.4442 0.2797 1.6936262526087432e-05 0.4192 5.07 40.9 2026-01-24T10:18:28.825783
225 975 2.4568 0.3237 1.6203037887650842e-05 0.4803 5.07 40.9 2026-01-24T10:19:02.557476
226 980 2.4694 0.3137 1.5484637127172607e-05 0.4733 5.07 40.7 2026-01-24T10:19:35.084585
227 985 2.482 0.3107 1.4781187331422108e-05 0.453 5.07 40.8 2026-01-24T10:20:09.170025
228 990 2.4946 0.291 1.4092812942308209e-05 0.6439 5.07 40.8 2026-01-24T10:20:42.819006
229 995 2.5073 0.3042 1.3419635734865199e-05 0.46 5.07 40.7 2026-01-24T10:21:15.429787
230 1000 2.5199 0.2947 1.2761774795710502e-05 0.5008 5.07 40.7 2026-01-24T10:21:49.009977
231 1000 2.5199 0 0.378141 0 5.07 40.7 2026-01-24T10:24:19.764482
232 1005 2.5325 0.3105 1.2119346501977913e-05 0.4976 5.07 40.6 2026-01-24T10:24:59.819628
233 1010 2.5451 0.3056 1.149246450073036e-05 0.4437 5.07 40.8 2026-01-24T10:25:34.743772
234 1015 2.5577 0.3169 1.0881239688855338e-05 0.5061 5.07 40.6 2026-01-24T10:26:07.436669
235 1020 2.5703 0.3064 1.028578019344706e-05 0.4808 5.07 40.9 2026-01-24T10:26:41.267222
236 1025 2.583 0.2946 9.706191352678496e-06 0.4694 5.07 40.9 2026-01-24T10:27:16.528465
237 1030 2.5956 0.3067 9.1425756971668e-06 0.4731 5.07 40.8 2026-01-24T10:27:50.009304
238 1035 2.6082 0.3105 8.595032931835424e-06 0.6241 5.07 40.6 2026-01-24T10:28:22.262972
239 1040 2.6208 0.3075 8.063659918276057e-06 0.4459 5.07 40.8 2026-01-24T10:28:54.897649
240 1045 2.6334 0.3018 7.548550657613651e-06 0.5467 5.07 40.8 2026-01-24T10:29:27.885062
241 1050 2.6461 0.3251 7.049796273877296e-06 0.6521 5.07 40.7 2026-01-24T10:29:59.084488
242 1050 2.6461 0 0.376228 0 5.07 40.7 2026-01-24T10:32:29.314179
243 1055 2.6587 0.2916 6.567484997880247e-06 0.5002 5.07 41.0 2026-01-24T10:33:10.051426
244 1060 2.6713 0.3052 6.101702151611688e-06 0.5857 5.07 40.9 2026-01-24T10:33:45.554972
245 1065 2.6839 0.296 5.6525301331430414e-06 0.4884 5.07 40.9 2026-01-24T10:34:17.763644
246 1070 2.6965 0.3054 5.220048402051503e-06 0.5567 5.07 40.9 2026-01-24T10:34:51.623559
247 1075 2.7091 0.2839 4.804333465363609e-06 0.5066 5.07 40.8 2026-01-24T10:35:26.474714
248 1080 2.7218 0.2944 4.405458864020828e-06 0.4811 5.07 40.9 2026-01-24T10:35:59.023123
249 1085 2.7344 0.2868 4.023495159870072e-06 0.5659 5.07 41.0 2026-01-24T10:36:32.379711
250 1090 2.747 0.2899 3.658509923181086e-06 0.5701 5.07 40.9 2026-01-24T10:37:07.008912
251 1095 2.7596 0.323 3.3105677206931697e-06 0.5335 5.07 40.8 2026-01-24T10:37:43.152810
252 1100 2.7722 0.2995 2.9797301041930904e-06 0.5679 5.07 40.8 2026-01-24T10:38:17.442476
253 1100 2.7722 0 0.375654 0 5.07 40.9 2026-01-24T10:40:47.803202
254 1105 2.7849 0.2799 2.6660555996265267e-06 0.4072 5.07 40.8 2026-01-24T10:41:26.233610
255 1110 2.7975 0.2857 2.3695996967446177e-06 0.4766 5.07 40.7 2026-01-24T10:41:59.258242
256 1115 2.8101 0.2893 2.0904148392877355e-06 0.4861 5.07 40.6 2026-01-24T10:42:33.456528
257 1120 2.8227 0.3118 1.8285504157080414e-06 0.5248 5.07 40.7 2026-01-24T10:43:07.919538
258 1125 2.8353 0.2831 1.5840527504325631e-06 0.4966 5.07 40.9 2026-01-24T10:43:43.372234
259 1130 2.8479 0.3088 1.3569650956682944e-06 0.4681 5.07 40.8 2026-01-24T10:44:17.958777
260 1135 2.8606 0.296 1.1473276237507934e-06 0.4923 5.07 40.9 2026-01-24T10:44:51.761695
261 1140 2.8732 0.2957 9.551774200375896e-07 0.5428 5.07 40.7 2026-01-24T10:45:23.967112
262 1145 2.8858 0.3266 7.805484763476755e-07 0.5059 5.07 40.9 2026-01-24T10:45:58.050528
263 1150 2.8984 0.2961 6.23471684948318e-07 0.4618 5.07 40.9 2026-01-24T10:46:31.633032
264 1150 2.8984 0 0.375353 0 5.07 40.8 2026-01-24T10:49:02.495259
265 1155 2.911 0.296 4.839748330901172e-07 0.5228 5.07 40.9 2026-01-24T10:49:41.479475
266 1160 2.9237 0.2968 3.6208259809139557e-07 0.4797 5.07 40.9 2026-01-24T10:50:15.715542
267 1165 2.9363 0.2791 2.5781654297267754e-07 0.5081 5.07 41.0 2026-01-24T10:50:50.906827
268 1170 2.9489 0.2964 1.7119511264220844e-07 0.6436 5.07 40.7 2026-01-24T10:51:25.605806
269 1175 2.9615 0.3137 1.0223363063295299e-07 0.4269 5.07 40.9 2026-01-24T10:51:59.686593
270 1180 2.9741 0.2946 5.094429639186382e-08 0.5536 5.07 40.9 2026-01-24T10:52:34.376992
271 1185 2.9868 0.313 1.7336183121730022e-08 0.4989 5.07 40.9 2026-01-24T10:53:07.743107
272 1190 2.9994 0.2985 1.4152361761388122e-09 0.5387 5.07 40.8 2026-01-24T10:53:42.997979
273 1191 3.0 0 0 5.07 40.8 2026-01-24T10:53:49.244055
274 1191 3.0 0 0.375353 0 4.9 38.5 2026-01-24T10:56:23.199290

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Training Log - Started at 2026-01-23T07:59:07.106112
================================================================================
Step 5 | Epoch 0.01 | Loss 1.9168 | GPU 4.8GB
Step 10 | Epoch 0.03 | Loss 1.0361 | GPU 4.8GB
Step 15 | Epoch 0.04 | Loss 0.7093 | GPU 4.8GB
Step 20 | Epoch 0.05 | Loss 0.6154 | GPU 4.8GB
Step 25 | Epoch 0.06 | Loss 0.5921 | GPU 4.8GB
Step 30 | Epoch 0.08 | Loss 0.5827 | GPU 4.8GB
Step 35 | Epoch 0.09 | Loss 0.5111 | GPU 4.8GB
Step 40 | Epoch 0.10 | Loss 0.5045 | GPU 4.8GB
Step 45 | Epoch 0.11 | Loss 0.5077 | GPU 4.8GB
Step 50 | Epoch 0.13 | Loss 0.5044 | GPU 4.8GB
Step 50 | Epoch 0.13 | Loss 0.0000 | Val 0.4850 | GPU 4.8GB
Step 55 | Epoch 0.14 | Loss 0.4785 | GPU 4.8GB
Step 60 | Epoch 0.15 | Loss 0.4746 | GPU 4.8GB
Step 65 | Epoch 0.16 | Loss 0.4666 | GPU 4.8GB
Step 70 | Epoch 0.18 | Loss 0.4631 | GPU 4.8GB
Step 75 | Epoch 0.19 | Loss 0.4890 | GPU 4.8GB
Step 80 | Epoch 0.20 | Loss 0.4868 | GPU 4.8GB
Step 85 | Epoch 0.21 | Loss 0.4278 | GPU 4.8GB
Step 90 | Epoch 0.23 | Loss 0.4620 | GPU 4.8GB
Step 95 | Epoch 0.24 | Loss 0.4813 | GPU 4.8GB
Step 100 | Epoch 0.25 | Loss 0.4653 | GPU 4.8GB
Step 100 | Epoch 0.25 | Loss 0.0000 | Val 0.4488 | GPU 4.8GB
Step 105 | Epoch 0.27 | Loss 0.4807 | GPU 4.8GB
Step 110 | Epoch 0.28 | Loss 0.4357 | GPU 4.8GB
Step 115 | Epoch 0.29 | Loss 0.4286 | GPU 4.8GB
Step 120 | Epoch 0.30 | Loss 0.4678 | GPU 4.8GB
Step 125 | Epoch 0.32 | Loss 0.4372 | GPU 4.8GB
Step 130 | Epoch 0.33 | Loss 0.4309 | GPU 4.8GB
Step 135 | Epoch 0.34 | Loss 0.4248 | GPU 4.8GB
Step 140 | Epoch 0.35 | Loss 0.4486 | GPU 4.8GB
Step 145 | Epoch 0.37 | Loss 0.4346 | GPU 4.8GB
Step 150 | Epoch 0.38 | Loss 0.4279 | GPU 4.8GB
Step 150 | Epoch 0.38 | Loss 0.0000 | Val 0.4310 | GPU 4.8GB
Step 155 | Epoch 0.39 | Loss 0.4378 | GPU 4.8GB
Step 160 | Epoch 0.40 | Loss 0.4076 | GPU 4.8GB
Step 165 | Epoch 0.42 | Loss 0.4501 | GPU 4.8GB
Step 170 | Epoch 0.43 | Loss 0.4491 | GPU 4.8GB
Step 175 | Epoch 0.44 | Loss 0.3968 | GPU 4.8GB
Step 180 | Epoch 0.45 | Loss 0.4237 | GPU 4.8GB
Step 185 | Epoch 0.47 | Loss 0.4219 | GPU 4.8GB
Step 190 | Epoch 0.48 | Loss 0.4165 | GPU 4.8GB
Step 195 | Epoch 0.49 | Loss 0.4052 | GPU 4.8GB
Step 200 | Epoch 0.50 | Loss 0.4385 | GPU 4.8GB
Step 200 | Epoch 0.50 | Loss 0.0000 | Val 0.4132 | GPU 4.8GB
Step 205 | Epoch 0.52 | Loss 0.4246 | GPU 4.8GB
Step 210 | Epoch 0.53 | Loss 0.3806 | GPU 4.8GB
Step 215 | Epoch 0.54 | Loss 0.4069 | GPU 4.8GB
Step 220 | Epoch 0.56 | Loss 0.4568 | GPU 4.8GB
Step 225 | Epoch 0.57 | Loss 0.4390 | GPU 4.8GB
Step 230 | Epoch 0.58 | Loss 0.3828 | GPU 4.8GB
Step 235 | Epoch 0.59 | Loss 0.4024 | GPU 4.8GB
Step 240 | Epoch 0.61 | Loss 0.4213 | GPU 4.8GB
Step 245 | Epoch 0.62 | Loss 0.4079 | GPU 4.8GB
Step 250 | Epoch 0.63 | Loss 0.4136 | GPU 4.8GB
Step 250 | Epoch 0.63 | Loss 0.0000 | Val 0.3971 | GPU 4.8GB
Step 255 | Epoch 0.64 | Loss 0.4068 | GPU 4.8GB
Step 260 | Epoch 0.66 | Loss 0.3866 | GPU 4.8GB
Step 265 | Epoch 0.67 | Loss 0.4004 | GPU 4.8GB
Step 270 | Epoch 0.68 | Loss 0.3792 | GPU 4.8GB
Step 275 | Epoch 0.69 | Loss 0.3888 | GPU 4.8GB
Step 280 | Epoch 0.71 | Loss 0.4107 | GPU 4.8GB
Step 285 | Epoch 0.72 | Loss 0.3998 | GPU 4.8GB
Step 290 | Epoch 0.73 | Loss 0.3698 | GPU 4.8GB
Step 295 | Epoch 0.74 | Loss 0.4095 | GPU 4.8GB
Step 300 | Epoch 0.76 | Loss 0.4059 | GPU 4.8GB
Step 300 | Epoch 0.76 | Loss 0.0000 | Val 0.3879 | GPU 4.8GB
Step 305 | Epoch 0.77 | Loss 0.3909 | GPU 4.8GB
Step 310 | Epoch 0.78 | Loss 0.4087 | GPU 4.8GB
Step 315 | Epoch 0.80 | Loss 0.3873 | GPU 4.8GB
Step 320 | Epoch 0.81 | Loss 0.3795 | GPU 4.8GB
Step 325 | Epoch 0.82 | Loss 0.4153 | GPU 4.8GB
Step 330 | Epoch 0.83 | Loss 0.3712 | GPU 4.8GB
Step 335 | Epoch 0.85 | Loss 0.3775 | GPU 4.8GB
Step 340 | Epoch 0.86 | Loss 0.3969 | GPU 4.8GB
Step 345 | Epoch 0.87 | Loss 0.3909 | GPU 4.8GB
Step 350 | Epoch 0.88 | Loss 0.3680 | GPU 4.8GB
Step 350 | Epoch 0.88 | Loss 0.0000 | Val 0.3820 | GPU 4.8GB
Step 355 | Epoch 0.90 | Loss 0.3800 | GPU 4.8GB
Step 360 | Epoch 0.91 | Loss 0.3959 | GPU 4.8GB
Step 365 | Epoch 0.92 | Loss 0.4114 | GPU 4.8GB
Step 370 | Epoch 0.93 | Loss 0.4359 | GPU 4.8GB
Step 375 | Epoch 0.95 | Loss 0.3860 | GPU 4.8GB
Step 380 | Epoch 0.96 | Loss 0.3927 | GPU 4.8GB
Step 385 | Epoch 0.97 | Loss 0.4058 | GPU 4.8GB
Step 390 | Epoch 0.98 | Loss 0.3936 | GPU 4.8GB
Step 395 | Epoch 1.00 | Loss 0.3589 | GPU 4.8GB
Step 397 | Epoch 1.00 | Loss 0.0000 | GPU 4.8GB
Step 397 | Epoch 1.00 | Loss 0.0000 | Val 0.3820 | GPU 4.6GB
Step 400 | Epoch 1.01 | Loss 0.3643 | GPU 4.8GB
Step 400 | Epoch 1.01 | Loss 0.0000 | Val 0.3832 | GPU 4.8GB
Step 405 | Epoch 1.02 | Loss 0.3570 | GPU 4.8GB
Step 410 | Epoch 1.03 | Loss 0.3536 | GPU 4.8GB
Step 415 | Epoch 1.05 | Loss 0.3230 | GPU 4.8GB
Step 420 | Epoch 1.06 | Loss 0.3551 | GPU 4.8GB
Step 425 | Epoch 1.07 | Loss 0.3472 | GPU 4.8GB
Step 430 | Epoch 1.08 | Loss 0.3598 | GPU 4.8GB
Step 435 | Epoch 1.10 | Loss 0.3664 | GPU 4.8GB
Step 440 | Epoch 1.11 | Loss 0.3455 | GPU 4.8GB
Step 445 | Epoch 1.12 | Loss 0.3546 | GPU 4.8GB
Step 450 | Epoch 1.13 | Loss 0.3654 | GPU 4.8GB
Step 450 | Epoch 1.13 | Loss 0.0000 | Val 0.4002 | GPU 4.8GB
Step 455 | Epoch 1.15 | Loss 0.3657 | GPU 4.8GB
Step 460 | Epoch 1.16 | Loss 0.3574 | GPU 4.8GB
Step 465 | Epoch 1.17 | Loss 0.3576 | GPU 4.8GB
Step 470 | Epoch 1.18 | Loss 0.3417 | GPU 4.8GB
Step 475 | Epoch 1.20 | Loss 0.3179 | GPU 4.8GB
Step 480 | Epoch 1.21 | Loss 0.3612 | GPU 4.8GB
Step 485 | Epoch 1.22 | Loss 0.3688 | GPU 4.8GB
Step 490 | Epoch 1.23 | Loss 0.3215 | GPU 4.8GB
Step 495 | Epoch 1.25 | Loss 0.3952 | GPU 4.8GB
Step 500 | Epoch 1.26 | Loss 0.3359 | GPU 4.8GB
Step 500 | Epoch 1.26 | Loss 0.0000 | Val 0.3917 | GPU 4.8GB
Step 500 | Epoch 1.26 | Loss 0.0000 | GPU 4.8GB
Step 500 | Epoch 1.26 | Loss 0.0000 | Val 0.3820 | GPU 4.6GB
Step 500 | Epoch 1.26 | Loss 0.0000 | GPU 4.7GB
Step 500 | Epoch 1.26 | Loss 0.0000 | Val 0.3820 | GPU 4.6GB
Step 505 | Epoch 1.27 | Loss 0.3206 | GPU 4.8GB
Step 510 | Epoch 1.29 | Loss 0.3052 | GPU 4.8GB
Step 515 | Epoch 1.30 | Loss 0.3186 | GPU 4.8GB
Step 520 | Epoch 1.31 | Loss 0.3023 | GPU 4.8GB
Step 525 | Epoch 1.32 | Loss 0.2954 | GPU 4.8GB
Step 530 | Epoch 1.34 | Loss 0.3072 | GPU 4.8GB
Step 535 | Epoch 1.35 | Loss 0.3076 | GPU 4.8GB
Step 540 | Epoch 1.36 | Loss 0.3134 | GPU 4.8GB
Step 545 | Epoch 1.37 | Loss 0.3121 | GPU 4.8GB
Step 550 | Epoch 1.39 | Loss 0.2900 | GPU 4.8GB
Step 550 | Epoch 1.39 | Loss 0.0000 | Val 0.4004 | GPU 4.8GB
Step 555 | Epoch 1.40 | Loss 0.3086 | GPU 4.8GB
Step 560 | Epoch 1.41 | Loss 0.3168 | GPU 4.8GB
Step 565 | Epoch 1.42 | Loss 0.3118 | GPU 4.8GB
Step 570 | Epoch 1.44 | Loss 0.2896 | GPU 4.8GB
Step 575 | Epoch 1.45 | Loss 0.3152 | GPU 4.8GB
Step 580 | Epoch 1.46 | Loss 0.3118 | GPU 4.8GB
Step 585 | Epoch 1.47 | Loss 0.2953 | GPU 4.8GB
Step 590 | Epoch 1.49 | Loss 0.3127 | GPU 4.8GB
Step 595 | Epoch 1.50 | Loss 0.3350 | GPU 4.8GB
Step 600 | Epoch 1.51 | Loss 0.3059 | GPU 4.8GB
Step 600 | Epoch 1.51 | Loss 0.0000 | Val 0.3939 | GPU 4.8GB
Step 605 | Epoch 1.52 | Loss 0.3096 | GPU 4.8GB
Step 610 | Epoch 1.54 | Loss 0.3248 | GPU 4.8GB
Step 615 | Epoch 1.55 | Loss 0.3303 | GPU 4.8GB
Step 620 | Epoch 1.56 | Loss 0.3266 | GPU 4.8GB
Step 625 | Epoch 1.58 | Loss 0.3235 | GPU 4.8GB
Step 630 | Epoch 1.59 | Loss 0.3059 | GPU 4.8GB
Step 635 | Epoch 1.60 | Loss 0.3180 | GPU 4.8GB
Step 640 | Epoch 1.61 | Loss 0.3287 | GPU 4.8GB
Step 645 | Epoch 1.63 | Loss 0.3167 | GPU 4.8GB
Step 650 | Epoch 1.64 | Loss 0.3293 | GPU 4.8GB
Step 650 | Epoch 1.64 | Loss 0.0000 | Val 0.3847 | GPU 4.8GB
Step 655 | Epoch 1.65 | Loss 0.3239 | GPU 4.8GB
Step 660 | Epoch 1.66 | Loss 0.3384 | GPU 4.8GB
Step 665 | Epoch 1.68 | Loss 0.3049 | GPU 4.8GB
Step 670 | Epoch 1.69 | Loss 0.3324 | GPU 4.8GB
Step 675 | Epoch 1.70 | Loss 0.3216 | GPU 4.8GB
Step 680 | Epoch 1.71 | Loss 0.3559 | GPU 4.8GB
Step 685 | Epoch 1.73 | Loss 0.3253 | GPU 4.8GB
Step 690 | Epoch 1.74 | Loss 0.3222 | GPU 4.8GB
Step 695 | Epoch 1.75 | Loss 0.3433 | GPU 4.8GB
Step 700 | Epoch 1.76 | Loss 0.3485 | GPU 4.8GB
Step 700 | Epoch 1.76 | Loss 0.0000 | Val 0.3790 | GPU 4.8GB
Step 705 | Epoch 1.78 | Loss 0.3362 | GPU 4.8GB
Step 710 | Epoch 1.79 | Loss 0.3697 | GPU 4.8GB
Step 705 | Epoch 1.78 | Loss 0.3362 | GPU 4.8GB
Step 710 | Epoch 1.79 | Loss 0.3697 | GPU 4.8GB
Step 715 | Epoch 1.80 | Loss 0.3305 | GPU 4.8GB
Step 720 | Epoch 1.82 | Loss 0.3573 | GPU 4.8GB
Step 725 | Epoch 1.83 | Loss 0.3588 | GPU 4.8GB
Step 730 | Epoch 1.84 | Loss 0.3293 | GPU 4.8GB
Step 735 | Epoch 1.85 | Loss 0.3286 | GPU 4.8GB
Step 740 | Epoch 1.87 | Loss 0.3739 | GPU 4.8GB
Step 745 | Epoch 1.88 | Loss 0.3495 | GPU 4.8GB
Step 750 | Epoch 1.89 | Loss 0.3455 | GPU 4.8GB
Step 750 | Epoch 1.89 | Loss 0.0000 | Val 0.3757 | GPU 4.8GB
Step 755 | Epoch 1.90 | Loss 0.3478 | GPU 4.8GB
Step 760 | Epoch 1.92 | Loss 0.3945 | GPU 4.8GB
Step 765 | Epoch 1.93 | Loss 0.3643 | GPU 4.8GB
Step 770 | Epoch 1.94 | Loss 0.3985 | GPU 4.8GB
Step 775 | Epoch 1.95 | Loss 0.3645 | GPU 4.8GB
Step 780 | Epoch 1.97 | Loss 0.3662 | GPU 4.8GB
Step 785 | Epoch 1.98 | Loss 0.3323 | GPU 4.8GB
Step 790 | Epoch 1.99 | Loss 0.2940 | GPU 4.8GB
Step 794 | Epoch 2.00 | Loss 0.0000 | GPU 4.8GB
Step 794 | Epoch 2.00 | Loss 0.0000 | Val 0.3757 | GPU 4.6GB
Step 795 | Epoch 2.00 | Loss 0.3075 | GPU 5.1GB
Step 800 | Epoch 2.02 | Loss 0.3087 | GPU 5.1GB
Step 800 | Epoch 2.02 | Loss 0.0000 | Val 0.3855 | GPU 5.1GB
Step 805 | Epoch 2.03 | Loss 0.3242 | GPU 5.1GB
Step 810 | Epoch 2.04 | Loss 0.3122 | GPU 5.1GB
Step 815 | Epoch 2.05 | Loss 0.3247 | GPU 5.1GB
Step 820 | Epoch 2.07 | Loss 0.3181 | GPU 5.1GB
Step 825 | Epoch 2.08 | Loss 0.3175 | GPU 5.1GB
Step 830 | Epoch 2.09 | Loss 0.3379 | GPU 5.1GB
Step 835 | Epoch 2.10 | Loss 0.3155 | GPU 5.1GB
Step 840 | Epoch 2.12 | Loss 0.3060 | GPU 5.1GB
Step 845 | Epoch 2.13 | Loss 0.2912 | GPU 5.1GB
Step 850 | Epoch 2.14 | Loss 0.3125 | GPU 5.1GB
Step 850 | Epoch 2.14 | Loss 0.0000 | Val 0.3904 | GPU 5.1GB
Step 855 | Epoch 2.15 | Loss 0.3081 | GPU 5.1GB
Step 860 | Epoch 2.17 | Loss 0.3101 | GPU 5.1GB
Step 865 | Epoch 2.18 | Loss 0.3210 | GPU 5.1GB
Step 870 | Epoch 2.19 | Loss 0.2998 | GPU 5.1GB
Step 875 | Epoch 2.20 | Loss 0.2875 | GPU 5.1GB
Step 880 | Epoch 2.22 | Loss 0.3301 | GPU 5.1GB
Step 885 | Epoch 2.23 | Loss 0.3124 | GPU 5.1GB
Step 890 | Epoch 2.24 | Loss 0.3235 | GPU 5.1GB
Step 895 | Epoch 2.25 | Loss 0.3139 | GPU 5.1GB
Step 900 | Epoch 2.27 | Loss 0.3078 | GPU 5.1GB
Step 900 | Epoch 2.27 | Loss 0.0000 | Val 0.3843 | GPU 5.1GB
Step 905 | Epoch 2.28 | Loss 0.2974 | GPU 5.1GB
Step 910 | Epoch 2.29 | Loss 0.3265 | GPU 5.1GB
Step 915 | Epoch 2.31 | Loss 0.2984 | GPU 5.1GB
Step 920 | Epoch 2.32 | Loss 0.2988 | GPU 5.1GB
Step 925 | Epoch 2.33 | Loss 0.2909 | GPU 5.1GB
Step 930 | Epoch 2.34 | Loss 0.3014 | GPU 5.1GB
Step 935 | Epoch 2.36 | Loss 0.3084 | GPU 5.1GB
Step 940 | Epoch 2.37 | Loss 0.2792 | GPU 5.1GB
Step 945 | Epoch 2.38 | Loss 0.3307 | GPU 5.1GB
Step 950 | Epoch 2.39 | Loss 0.2959 | GPU 5.1GB
Step 950 | Epoch 2.39 | Loss 0.0000 | Val 0.3808 | GPU 5.1GB
Step 955 | Epoch 2.41 | Loss 0.3184 | GPU 5.1GB
Step 960 | Epoch 2.42 | Loss 0.3087 | GPU 5.1GB
Step 965 | Epoch 2.43 | Loss 0.2931 | GPU 5.1GB
Step 970 | Epoch 2.44 | Loss 0.2797 | GPU 5.1GB
Step 975 | Epoch 2.46 | Loss 0.3237 | GPU 5.1GB
Step 980 | Epoch 2.47 | Loss 0.3137 | GPU 5.1GB
Step 985 | Epoch 2.48 | Loss 0.3107 | GPU 5.1GB
Step 990 | Epoch 2.49 | Loss 0.2910 | GPU 5.1GB
Step 995 | Epoch 2.51 | Loss 0.3042 | GPU 5.1GB
Step 1000 | Epoch 2.52 | Loss 0.2947 | GPU 5.1GB
Step 1000 | Epoch 2.52 | Loss 0.0000 | Val 0.3781 | GPU 5.1GB
Step 1005 | Epoch 2.53 | Loss 0.3105 | GPU 5.1GB
Step 1010 | Epoch 2.55 | Loss 0.3056 | GPU 5.1GB
Step 1015 | Epoch 2.56 | Loss 0.3169 | GPU 5.1GB
Step 1020 | Epoch 2.57 | Loss 0.3064 | GPU 5.1GB
Step 1025 | Epoch 2.58 | Loss 0.2946 | GPU 5.1GB
Step 1030 | Epoch 2.60 | Loss 0.3067 | GPU 5.1GB
Step 1035 | Epoch 2.61 | Loss 0.3105 | GPU 5.1GB
Step 1040 | Epoch 2.62 | Loss 0.3075 | GPU 5.1GB
Step 1045 | Epoch 2.63 | Loss 0.3018 | GPU 5.1GB
Step 1050 | Epoch 2.65 | Loss 0.3251 | GPU 5.1GB
Step 1050 | Epoch 2.65 | Loss 0.0000 | Val 0.3762 | GPU 5.1GB
Step 1055 | Epoch 2.66 | Loss 0.2916 | GPU 5.1GB
Step 1060 | Epoch 2.67 | Loss 0.3052 | GPU 5.1GB
Step 1065 | Epoch 2.68 | Loss 0.2960 | GPU 5.1GB
Step 1070 | Epoch 2.70 | Loss 0.3054 | GPU 5.1GB
Step 1075 | Epoch 2.71 | Loss 0.2839 | GPU 5.1GB
Step 1080 | Epoch 2.72 | Loss 0.2944 | GPU 5.1GB
Step 1085 | Epoch 2.73 | Loss 0.2868 | GPU 5.1GB
Step 1090 | Epoch 2.75 | Loss 0.2899 | GPU 5.1GB
Step 1095 | Epoch 2.76 | Loss 0.3230 | GPU 5.1GB
Step 1100 | Epoch 2.77 | Loss 0.2995 | GPU 5.1GB
Step 1100 | Epoch 2.77 | Loss 0.0000 | Val 0.3757 | GPU 5.1GB
Step 1105 | Epoch 2.78 | Loss 0.2799 | GPU 5.1GB
Step 1110 | Epoch 2.80 | Loss 0.2857 | GPU 5.1GB
Step 1115 | Epoch 2.81 | Loss 0.2893 | GPU 5.1GB
Step 1120 | Epoch 2.82 | Loss 0.3118 | GPU 5.1GB
Step 1125 | Epoch 2.84 | Loss 0.2831 | GPU 5.1GB
Step 1130 | Epoch 2.85 | Loss 0.3088 | GPU 5.1GB
Step 1135 | Epoch 2.86 | Loss 0.2960 | GPU 5.1GB
Step 1140 | Epoch 2.87 | Loss 0.2957 | GPU 5.1GB
Step 1145 | Epoch 2.89 | Loss 0.3266 | GPU 5.1GB
Step 1150 | Epoch 2.90 | Loss 0.2961 | GPU 5.1GB
Step 1150 | Epoch 2.90 | Loss 0.0000 | Val 0.3754 | GPU 5.1GB
Step 1155 | Epoch 2.91 | Loss 0.2960 | GPU 5.1GB
Step 1160 | Epoch 2.92 | Loss 0.2968 | GPU 5.1GB
Step 1165 | Epoch 2.94 | Loss 0.2791 | GPU 5.1GB
Step 1170 | Epoch 2.95 | Loss 0.2964 | GPU 5.1GB
Step 1175 | Epoch 2.96 | Loss 0.3137 | GPU 5.1GB
Step 1180 | Epoch 2.97 | Loss 0.2946 | GPU 5.1GB
Step 1185 | Epoch 2.99 | Loss 0.3130 | GPU 5.1GB
Step 1190 | Epoch 3.00 | Loss 0.2985 | GPU 5.1GB
Step 1191 | Epoch 3.00 | Loss 0.0000 | GPU 5.1GB
Step 1191 | Epoch 3.00 | Loss 0.0000 | Val 0.3754 | GPU 4.9GB