master standard 跑100多轮还是acc=0

[BrookShuihuaLee]

12/13 9:55:19 Epoch 110/10000, accuracy = 0.000,avg_train_cost = 21.989, lastbatch_err = 1.000, time = 319.316,lr=0.00000000
batch 1599 : time 0.15444302558898926
batch 1699 : time 0.15120339393615723
batch 1799 : time 0.15367650985717773
batch 1899 : time 0.1504526138305664
batch 1999 : time 0.14650583267211914
seq 0: origin: [25, 35, 32, 14, 30, 61] decoded:[]
seq 1: origin: [3, 2, 44, 14] decoded:[]
seq 2: origin: [50, 35, 14, 54, 18, 14] decoded:[]
seq 3: origin: [26, 50, 46, 38, 46] decoded:[]
seq 4: origin: [18, 19, 37, 15, 14] decoded:[]
seq 5: origin: [46, 9, 49, 34, 13] decoded:[]
seq 6: origin: [62, 46, 48, 49, 58, 24] decoded:[]
seq 7: origin: [2, 34, 41, 59, 14] decoded:[]
seq 8: origin: [40, 41, 39, 2, 47] decoded:[]
seq 9: origin: [39, 52, 13, 8, 52] decoded:[]
12/13 9:57:5 Epoch 110/10000, accuracy = 0.000,avg_train_cost = 21.983, lastbatch_err = 1.000, time = 425.382,lr=0.00000000
batch 99 : time 0.15007543563842773
batch 199 : time 0.15009498596191406
batch 299 : time 0.1510307788848877
batch 399 : time 0.15029311180114746
batch 499 : time 0.15467214584350586

[BrookShuihuaLee]

开始好了几轮，掉到0之后就上不来了。

=============================begin training=============================
batch 99 : time 0.15575337409973145
batch 199 : time 0.1516251564025879
batch 299 : time 0.150437593460083
batch 399 : time 0.15105032920837402
batch 499 : time 0.15003585815429688
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:10:19 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 24.174, lastbatch_err = 1.000, time = 105.370,lr=0.00100000
batch 599 : time 0.14781570434570312
batch 699 : time 0.14530324935913086
batch 799 : time 0.15015673637390137
batch 899 : time 0.1490769386291504
batch 999 : time 0.14568662643432617
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:12:4 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 23.277, lastbatch_err = 1.000, time = 210.374,lr=0.00090000
batch 1099 : time 0.14643192291259766
batch 1199 : time 0.1486363410949707
batch 1299 : time 0.14886236190795898
batch 1399 : time 0.14776229858398438
batch 1499 : time 0.14943623542785645
seq 0: origin: [50, 5, 17, 1, 60] decoded:[17]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[17]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[17]
seq 3: origin: [26, 20, 32, 6] decoded:[17]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[9]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[17]
seq 6: origin: [19, 46, 24, 9] decoded:[9]
seq 7: origin: [17, 10, 22, 55] decoded:[17]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[17]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[17]
12/13 10:13:52 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 22.917, lastbatch_err = 0.983, time = 318.460,lr=0.00090000
batch 1599 : time 0.14650797843933105
batch 1699 : time 0.14693307876586914
batch 1799 : time 0.14792990684509277
batch 1899 : time 0.14613962173461914
batch 1999 : time 0.14811396598815918
seq 0: origin: [50, 5, 17, 1, 60] decoded:[34]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[34]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[34]
seq 3: origin: [26, 20, 32, 6] decoded:[34]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[34]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[34]
seq 6: origin: [19, 46, 24, 9] decoded:[34]
seq 7: origin: [17, 10, 22, 55] decoded:[34]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[34]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[34]
12/13 10:15:38 Epoch 1/10000, accuracy = 0.000,avg_train_cost = 22.690, lastbatch_err = 0.988, time = 424.332,lr=0.00081000
batch 99 : time 0.1507701873779297
batch 199 : time 0.1459202766418457
batch 299 : time 0.14722609519958496
batch 399 : time 0.1469583511352539
batch 499 : time 0.1487717628479004
seq 0: origin: [50, 5, 17, 1, 60] decoded:[12]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[12]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[12]
seq 3: origin: [26, 20, 32, 6] decoded:[12]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[12]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[12]
seq 6: origin: [19, 46, 24, 9] decoded:[12]
seq 7: origin: [17, 10, 22, 55] decoded:[12]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[12]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[12]
12/13 10:17:24 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.039, lastbatch_err = 0.986, time = 105.912,lr=0.00081000
batch 599 : time 0.14470648765563965
batch 699 : time 0.1468336582183838
batch 799 : time 0.14504027366638184
batch 899 : time 0.14607977867126465
batch 999 : time 0.15184235572814941
seq 0: origin: [50, 5, 17, 1, 60] decoded:[2]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[2]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[2]
seq 3: origin: [26, 20, 32, 6] decoded:[2]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[2]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[2]
seq 6: origin: [19, 46, 24, 9] decoded:[2]
seq 7: origin: [17, 10, 22, 55] decoded:[2]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[2]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[2]
12/13 10:19:9 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.017, lastbatch_err = 0.985, time = 211.393,lr=0.00072900
batch 1099 : time 0.14704656600952148
batch 1199 : time 0.14670848846435547
batch 1299 : time 0.1447429656982422
batch 1399 : time 0.14695429801940918
batch 1499 : time 0.15006494522094727
seq 0: origin: [50, 5, 17, 1, 60] decoded:[16]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[16]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[16]
seq 3: origin: [26, 20, 32, 6] decoded:[16]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[16]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[16]
seq 6: origin: [19, 46, 24, 9] decoded:[16]
seq 7: origin: [17, 10, 22, 55] decoded:[16]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[16]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[16]
12/13 10:20:55 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.010, lastbatch_err = 0.983, time = 316.963,lr=0.00072900
batch 1599 : time 0.14555144309997559
batch 1699 : time 0.14838314056396484
batch 1799 : time 0.14460968971252441
batch 1899 : time 0.14600229263305664
batch 1999 : time 0.1500537395477295
seq 0: origin: [50, 5, 17, 1, 60] decoded:[25]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[44]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[44]
seq 3: origin: [26, 20, 32, 6] decoded:[44]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[44]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[44]
seq 6: origin: [19, 46, 24, 9] decoded:[44]
seq 7: origin: [17, 10, 22, 55] decoded:[44]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[44]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[44]
12/13 10:22:42 Epoch 2/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 0.984, time = 424.102,lr=0.00065610
batch 99 : time 0.14750933647155762
batch 199 : time 0.14768624305725098
batch 299 : time 0.14803290367126465
batch 399 : time 0.1462407112121582
batch 499 : time 0.1472005844116211
seq 0: origin: [50, 5, 17, 1, 60] decoded:[58]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[17]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[17]
seq 3: origin: [26, 20, 32, 6] decoded:[17]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[58]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[58]
seq 6: origin: [19, 46, 24, 9] decoded:[58]
seq 7: origin: [17, 10, 22, 55] decoded:[17]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[17]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[58]
12/13 10:24:28 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.025, lastbatch_err = 0.983, time = 105.318,lr=0.00065610
batch 599 : time 0.14595532417297363
batch 699 : time 0.1466972827911377
batch 799 : time 0.1461780071258545
batch 899 : time 0.1546316146850586
batch 999 : time 0.1471855640411377
seq 0: origin: [50, 5, 17, 1, 60] decoded:[7]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[7]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[7]
seq 3: origin: [26, 20, 32, 6] decoded:[7]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[7]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[7]
seq 6: origin: [19, 46, 24, 9] decoded:[7]
seq 7: origin: [17, 10, 22, 55] decoded:[7]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[7]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[7]
12/13 10:26:13 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.014, lastbatch_err = 0.984, time = 210.531,lr=0.00059049
batch 1099 : time 0.14858698844909668
batch 1199 : time 0.14802289009094238
batch 1299 : time 0.1455397605895996
batch 1399 : time 0.14662504196166992
batch 1499 : time 0.1508347988128662
seq 0: origin: [50, 5, 17, 1, 60] decoded:[46]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[46]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[46]
seq 3: origin: [26, 20, 32, 6] decoded:[46]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[46]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[46]
seq 6: origin: [19, 46, 24, 9] decoded:[46]
seq 7: origin: [17, 10, 22, 55] decoded:[46]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[46]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[46]
12/13 10:28:0 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 0.980, time = 317.981,lr=0.00059049
batch 1599 : time 0.1500239372253418
batch 1699 : time 0.14469099044799805
batch 1799 : time 0.14754343032836914
batch 1899 : time 0.14797425270080566
batch 1999 : time 0.14726042747497559
seq 0: origin: [50, 5, 17, 1, 60] decoded:[12]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[12]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[12]
seq 3: origin: [26, 20, 32, 6] decoded:[12]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[12]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[12]
seq 6: origin: [19, 46, 24, 9] decoded:[12]
seq 7: origin: [17, 10, 22, 55] decoded:[12]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[12]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[12]
12/13 10:29:45 Epoch 3/10000, accuracy = 0.000,avg_train_cost = 22.001, lastbatch_err = 0.985, time = 423.138,lr=0.00053144
batch 99 : time 0.14684486389160156
batch 199 : time 0.144484281539917
batch 299 : time 0.14815592765808105
batch 399 : time 0.14844489097595215
batch 499 : time 0.14666342735290527
seq 0: origin: [50, 5, 17, 1, 60] decoded:[31]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[31]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[31]
seq 3: origin: [26, 20, 32, 6] decoded:[31]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[31]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[31]
seq 6: origin: [19, 46, 24, 9] decoded:[31]
seq 7: origin: [17, 10, 22, 55] decoded:[31]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[31]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[31]
12/13 10:31:32 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 22.009, lastbatch_err = 0.986, time = 106.460,lr=0.00053144
batch 599 : time 0.1428983211517334
batch 699 : time 0.14375996589660645
batch 799 : time 0.14772653579711914
batch 899 : time 0.14834904670715332
batch 999 : time 0.14900565147399902
seq 0: origin: [50, 5, 17, 1, 60] decoded:[46]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[46]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[46]
seq 3: origin: [26, 20, 32, 6] decoded:[20]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[46]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[46]
seq 6: origin: [19, 46, 24, 9] decoded:[46]
seq 7: origin: [17, 10, 22, 55] decoded:[46]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[46]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[46]
12/13 10:33:18 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 21.995, lastbatch_err = 0.980, time = 212.339,lr=0.00047830
batch 1099 : time 0.14682483673095703
batch 1199 : time 0.14531230926513672
batch 1299 : time 0.14645123481750488
batch 1399 : time 0.14517474174499512
batch 1499 : time 0.14890265464782715
seq 0: origin: [50, 5, 17, 1, 60] decoded:[17]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[17]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[17]
seq 3: origin: [26, 20, 32, 6] decoded:[17]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[17]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[17]
seq 6: origin: [19, 46, 24, 9] decoded:[17]
seq 7: origin: [17, 10, 22, 55] decoded:[17]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[17]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[17]
12/13 10:35:3 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 21.998, lastbatch_err = 0.989, time = 317.767,lr=0.00047830
batch 1599 : time 0.1479496955871582
batch 1699 : time 0.14490413665771484
batch 1799 : time 0.14343738555908203
batch 1899 : time 0.14536142349243164
batch 1999 : time 0.14581656455993652
seq 0: origin: [50, 5, 17, 1, 60] decoded:[12]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[12]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[12]
seq 3: origin: [26, 20, 32, 6] decoded:[12]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[12]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[12]
seq 6: origin: [19, 46, 24, 9] decoded:[12]
seq 7: origin: [17, 10, 22, 55] decoded:[12]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[12]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[12]
12/13 10:36:48 Epoch 4/10000, accuracy = 0.000,avg_train_cost = 21.997, lastbatch_err = 0.986, time = 422.637,lr=0.00043047
batch 99 : time 0.14773201942443848
batch 199 : time 0.1501002311706543
batch 299 : time 0.14757657051086426
batch 399 : time 0.1471996307373047
batch 499 : time 0.14617061614990234
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[17]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[17]
seq 3: origin: [26, 20, 32, 6] decoded:[17]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[17]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[17]
seq 6: origin: [19, 46, 24, 9] decoded:[17]
seq 7: origin: [17, 10, 22, 55] decoded:[17]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[17]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[17]
12/13 10:38:35 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 21.971, lastbatch_err = 0.988, time = 107.094,lr=0.00043047
batch 599 : time 0.14696478843688965
batch 699 : time 0.14406323432922363
batch 799 : time 0.14477324485778809
batch 899 : time 0.14713716506958008
batch 999 : time 0.1494579315185547
seq 0: origin: [50, 5, 17, 1, 60] decoded:[22]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[22]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[22]
seq 3: origin: [26, 20, 32, 6] decoded:[22]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[22]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[22]
seq 6: origin: [19, 46, 24, 9] decoded:[22]
seq 7: origin: [17, 10, 22, 55] decoded:[22]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[22]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[22]
12/13 10:40:22 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 21.986, lastbatch_err = 0.984, time = 214.007,lr=0.00038742
batch 1099 : time 0.14635372161865234
batch 1199 : time 0.14608001708984375
batch 1299 : time 0.14375758171081543
batch 1399 : time 0.14338350296020508
batch 1499 : time 0.14704275131225586
seq 0: origin: [50, 5, 17, 1, 60] decoded:[11]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[11]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[11]
seq 3: origin: [26, 20, 32, 6] decoded:[11]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[11]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[11]
seq 6: origin: [19, 46, 24, 9] decoded:[11]
seq 7: origin: [17, 10, 22, 55] decoded:[11]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[11]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[11]
12/13 10:42:7 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 22.000, lastbatch_err = 0.985, time = 319.320,lr=0.00038742
batch 1599 : time 0.14621853828430176
batch 1699 : time 0.14604687690734863
batch 1799 : time 0.14624309539794922
batch 1899 : time 0.14568853378295898
batch 1999 : time 0.14728164672851562
seq 0: origin: [50, 5, 17, 1, 60] decoded:[44]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[44]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[44]
seq 3: origin: [26, 20, 32, 6] decoded:[44]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[44]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[44]
seq 6: origin: [19, 46, 24, 9] decoded:[44]
seq 7: origin: [17, 10, 22, 55] decoded:[44]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[44]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[44]
12/13 10:43:53 Epoch 5/10000, accuracy = 0.000,avg_train_cost = 21.994, lastbatch_err = 0.985, time = 425.171,lr=0.00034868
batch 99 : time 0.14895033836364746
batch 199 : time 0.14411354064941406
batch 299 : time 0.14562749862670898
batch 399 : time 0.15003657341003418
batch 499 : time 0.14582490921020508
seq 0: origin: [50, 5, 17, 1, 60] decoded:[46]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[46]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[46]
seq 3: origin: [26, 20, 32, 6] decoded:[46]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[46]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[46]
seq 6: origin: [19, 46, 24, 9] decoded:[46]
seq 7: origin: [17, 10, 22, 55] decoded:[46]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[46]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[46]
12/13 10:45:38 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 22.025, lastbatch_err = 0.980, time = 105.198,lr=0.00034868
batch 599 : time 0.14711284637451172
batch 699 : time 0.143388032913208
batch 799 : time 0.14863967895507812
batch 899 : time 0.14435529708862305
batch 999 : time 0.14520835876464844
seq 0: origin: [50, 5, 17, 1, 60] decoded:[17]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[17]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[17]
seq 3: origin: [26, 20, 32, 6] decoded:[17]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[17]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[17]
seq 6: origin: [19, 46, 24, 9] decoded:[17]
seq 7: origin: [17, 10, 22, 55] decoded:[17]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[17]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[17]
12/13 10:47:25 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 22.008, lastbatch_err = 0.989, time = 211.838,lr=0.00031381
batch 1099 : time 0.14521288871765137
batch 1199 : time 0.1451122760772705
batch 1299 : time 0.14644932746887207
batch 1399 : time 0.1479790210723877
batch 1499 : time 0.14353322982788086
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[44]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:49:10 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 21.993, lastbatch_err = 1.000, time = 317.248,lr=0.00031381
batch 1599 : time 0.1482841968536377
batch 1699 : time 0.14422321319580078
batch 1799 : time 0.14786410331726074
batch 1899 : time 0.14622259140014648
batch 1999 : time 0.14293360710144043
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[44]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[20]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[20]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:50:58 Epoch 6/10000, accuracy = 0.000,avg_train_cost = 21.993, lastbatch_err = 0.997, time = 424.590,lr=0.00028243
batch 99 : time 0.14805340766906738
batch 199 : time 0.1477036476135254
batch 299 : time 0.14734673500061035
batch 399 : time 0.14853835105895996
batch 499 : time 0.14905166625976562
seq 0: origin: [50, 5, 17, 1, 60] decoded:[58]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[58]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[58]
seq 3: origin: [26, 20, 32, 6] decoded:[58]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[58]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[58]
seq 6: origin: [19, 46, 24, 9] decoded:[58]
seq 7: origin: [17, 10, 22, 55] decoded:[58]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[58]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[58]
12/13 10:52:45 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 21.971, lastbatch_err = 0.985, time = 107.369,lr=0.00028243
batch 599 : time 0.14995336532592773
batch 699 : time 0.14758968353271484
batch 799 : time 0.15000009536743164
batch 899 : time 0.14480853080749512
batch 999 : time 0.1481938362121582
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[20]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:54:31 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 21.973, lastbatch_err = 0.999, time = 212.928,lr=0.00025419
batch 1099 : time 0.14822912216186523
batch 1199 : time 0.14637422561645508
batch 1299 : time 0.14530110359191895
batch 1399 : time 0.1455528736114502
batch 1499 : time 0.14771604537963867
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:56:17 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 21.983, lastbatch_err = 1.000, time = 319.530,lr=0.00025419
batch 1599 : time 0.14711976051330566
batch 1699 : time 0.14725112915039062
batch 1799 : time 0.1486046314239502
batch 1899 : time 0.14885973930358887
batch 1999 : time 0.14571571350097656
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[61]
seq 3: origin: [26, 20, 32, 6] decoded:[61]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[61]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[61]
seq 6: origin: [19, 46, 24, 9] decoded:[22]
seq 7: origin: [17, 10, 22, 55] decoded:[61]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[61]
12/13 10:58:3 Epoch 7/10000, accuracy = 0.000,avg_train_cost = 21.991, lastbatch_err = 0.983, time = 425.298,lr=0.00022877
batch 99 : time 0.15292048454284668
batch 199 : time 0.1457195281982422
batch 299 : time 0.15087103843688965
batch 399 : time 0.1475083827972412
batch 499 : time 0.14727425575256348
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 10:59:52 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.992, lastbatch_err = 1.000, time = 108.949,lr=0.00022877
batch 599 : time 0.14539623260498047
batch 699 : time 0.14646196365356445
batch 799 : time 0.14560675621032715
batch 899 : time 0.14580798149108887
batch 999 : time 0.14738798141479492
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[43]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[43]
seq 3: origin: [26, 20, 32, 6] decoded:[43]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[43]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[43]
seq 6: origin: [19, 46, 24, 9] decoded:[43]
seq 7: origin: [17, 10, 22, 55] decoded:[43]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[43]
12/13 11:1:38 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.988, lastbatch_err = 0.988, time = 214.652,lr=0.00020589
batch 1099 : time 0.14551305770874023
batch 1199 : time 0.1477658748626709
batch 1299 : time 0.1486673355102539
batch 1399 : time 0.14554882049560547
batch 1499 : time 0.14847254753112793
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 11:3:24 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.997, lastbatch_err = 1.000, time = 321.142,lr=0.00020589
batch 1599 : time 0.1475505828857422
batch 1699 : time 0.14560937881469727
batch 1799 : time 0.14745306968688965
batch 1899 : time 0.14745020866394043
batch 1999 : time 0.14789938926696777
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 11:5:10 Epoch 8/10000, accuracy = 0.000,avg_train_cost = 21.990, lastbatch_err = 1.000, time = 426.824,lr=0.00018530
batch 99 : time 0.14608049392700195
batch 199 : time 0.14743471145629883
batch 299 : time 0.15132546424865723
batch 399 : time 0.14583778381347656
batch 499 : time 0.14756393432617188
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 11:6:55 Epoch 9/10000, accuracy = 0.000,avg_train_cost = 21.973, lastbatch_err = 1.000, time = 105.353,lr=0.00018530
batch 599 : time 0.146728515625
batch 699 : time 0.14680242538452148
batch 799 : time 0.1572890281677246
batch 899 : time 0.14970016479492188
batch 999 : time 0.14847373962402344
seq 0: origin: [50, 5, 17, 1, 60] decoded:[]
seq 1: origin: [46, 57, 38, 31, 4] decoded:[]
seq 2: origin: [32, 31, 39, 40, 44, 52] decoded:[]
seq 3: origin: [26, 20, 32, 6] decoded:[]
seq 4: origin: [45, 10, 44, 30, 53, 2] decoded:[]
seq 5: origin: [8, 33, 49, 44, 60] decoded:[]
seq 6: origin: [19, 46, 24, 9] decoded:[]
seq 7: origin: [17, 10, 22, 55] decoded:[]
seq 8: origin: [4, 53, 32, 46, 58, 38] decoded:[]
seq 9: origin: [5, 31, 30, 61, 51, 26] decoded:[]
12/13 11:8:41 Epoch 9/10000, accuracy = 0.000,avg_train_cost = 21.981, lastbatch_err = 1.000, time = 211.080,lr=0.00016677

[ilovin]

#33