master standard 跑100多轮还是acc=0

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 / lstm_ctc_ocr

master standard 跑100多轮还是acc=0 #31