Compare learners
df = pd.read_csv('/home/tako/dev/fastseq/data/airline-passengers.csv')
print(df.head())
items = L([np.array(list(df['Passengers'].values))])
items
Month Passengers 0 1949-01 112 1 1949-02 118 2 1949-03 132 3 1949-04 129 4 1949-05 121
(#1) [array([112, 118, 132, 129, 121, 135, 148, 148, 136, 119, 104, 118, 115,
126, 141, 135, 125, 149, 170, 170, 158, 133, 114, 140, 145, 150,
178, 163, 172, 178, 199, 199, 184, 162, 146, 166, 171, 180, 193,
181, 183, 218, 230, 242, 209, 191, 172, 194, 196, 196, 236, 235,
229, 243, 264, 272, 237, 211, 180, 201, 204, 188, 235, 227, 234,
264, 302, 293, 259, 229, 203, 229, 242, 233, 267, 269, 270, 315,
364, 347, 312, 274, 237, 278, 284, 277, 317, 313, 318, 374, 413,
405, 355, 306, 271, 306, 315, 301, 356, 348, 355, 422, 465, 467,
404, 347, 305, 336, 340, 318, 362, 348, 363, 435, 491, 505, 404,
359, 310, 337, 360, 342, 406, 396, 420, 472, 548, 559, 463, 407,
362, 405, 417, 391, 419, 461, 472, 535, 622, 606, 508, 461, 390,
432])]
horizon, lookback = 12,24
data = TSDataLoaders.from_items(items, lookback=lookback, horizon =horizon, step=1, bs=64)
data.show_batch()
(1, 144) Train:67; Valid: 19; Test 1
compare[source]
compare(learner,kwargs1,kwargs2,lr=0.5,epochs=[5, 5, 5, 5],iterations=5)
res = compare(nbeats_learner,{'dbunch':data},{'dbunch':data, 'share_weights_in_layers':False}, iterations=2, epochs=[10]*10)
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 3.072110 | 3.648259 | 1.555672 | 1.424748 | 3.187010 | 3.854019 | 00:00 |
| 1 | 3.112219 | 3.220170 | 1.401412 | 1.407543 | 3.015318 | 3.101240 | 00:00 |
| 2 | 2.795260 | 2.788341 | 1.295898 | 1.485372 | 2.916590 | 2.738270 | 00:00 |
| 3 | 2.571425 | 2.305565 | 1.215151 | 1.523750 | 2.232401 | 2.679343 | 00:00 |
| 4 | 2.436491 | 2.941024 | 1.353994 | 1.450652 | 2.671736 | 2.530462 | 00:00 |
| 5 | 2.350085 | 3.180106 | 1.418748 | 1.415661 | 3.347284 | 2.517437 | 00:00 |
| 6 | 2.294848 | 2.909725 | 1.334497 | 1.445293 | 2.553226 | 2.570886 | 00:00 |
| 7 | 2.251811 | 2.326272 | 1.209426 | 1.411895 | 1.815220 | 2.526041 | 00:00 |
| 8 | 2.213427 | 2.318274 | 1.194452 | 1.399072 | 1.805832 | 2.479680 | 00:00 |
| 9 | 2.171967 | 2.257395 | 1.187139 | 1.375942 | 2.025172 | 2.245497 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.742129 | 2.616007 | 1.289009 | 1.383386 | 2.221987 | 2.118374 | 00:00 |
| 1 | 1.732851 | 3.085518 | 1.396976 | 1.409573 | 2.552604 | 2.269514 | 00:00 |
| 2 | 1.719057 | 2.901554 | 1.355673 | 1.369592 | 2.448547 | 2.089947 | 00:00 |
| 3 | 1.708454 | 2.107993 | 1.161785 | 1.392351 | 1.873339 | 2.157766 | 00:00 |
| 4 | 1.710285 | 2.361016 | 1.217187 | 1.367855 | 2.080114 | 2.152760 | 00:00 |
| 5 | 1.710868 | 2.870318 | 1.297868 | 1.394656 | 2.181687 | 2.253637 | 00:00 |
| 6 | 1.710861 | 3.056200 | 1.354264 | 1.416789 | 2.240201 | 2.209163 | 00:00 |
| 7 | 1.704238 | 2.412548 | 1.207303 | 1.413673 | 2.101271 | 2.048023 | 00:00 |
| 8 | 1.700731 | 2.171014 | 1.160919 | 1.428278 | 1.965318 | 1.953284 | 00:00 |
| 9 | 1.696229 | 2.674698 | 1.270986 | 1.435089 | 2.605083 | 1.870349 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.662863 | 2.112557 | 1.110584 | 1.391217 | 2.132303 | 1.776066 | 00:00 |
| 1 | 1.655486 | 2.421380 | 1.172462 | 1.380296 | 2.526815 | 1.754611 | 00:00 |
| 2 | 1.655492 | 2.331133 | 1.178496 | 1.396009 | 2.174137 | 1.689698 | 00:00 |
| 3 | 1.655011 | 2.407944 | 1.205448 | 1.436767 | 2.148432 | 1.707245 | 00:00 |
| 4 | 1.651091 | 2.476256 | 1.191799 | 1.396786 | 2.265752 | 1.737973 | 00:00 |
| 5 | 1.649117 | 2.452555 | 1.181477 | 1.391755 | 2.152583 | 1.741518 | 00:00 |
| 6 | 1.647450 | 2.253420 | 1.142508 | 1.401232 | 2.078117 | 1.673999 | 00:00 |
| 7 | 1.645765 | 2.144928 | 1.139026 | 1.418940 | 2.041675 | 1.640691 | 00:00 |
| 8 | 1.643674 | 2.224112 | 1.136420 | 1.383191 | 2.144959 | 1.579905 | 00:00 |
| 9 | 1.641661 | 2.433940 | 1.204849 | 1.390622 | 2.244113 | 1.655897 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.627123 | 2.309788 | 1.177557 | 1.406790 | 2.146802 | 1.706250 | 00:00 |
| 1 | 1.626775 | 2.357654 | 1.202621 | 1.433462 | 2.147944 | 1.677303 | 00:00 |
| 2 | 1.626473 | 2.494511 | 1.253846 | 1.435209 | 2.328092 | 1.661513 | 00:00 |
| 3 | 1.626070 | 2.431906 | 1.226508 | 1.436194 | 2.290785 | 1.764722 | 00:00 |
| 4 | 1.625828 | 2.300116 | 1.180344 | 1.424277 | 2.133052 | 1.773476 | 00:00 |
| 5 | 1.625780 | 2.494175 | 1.219262 | 1.457236 | 2.141393 | 1.866747 | 00:00 |
| 6 | 1.625806 | 2.505623 | 1.221269 | 1.468641 | 2.007926 | 1.797572 | 00:00 |
| 7 | 1.625826 | 2.436940 | 1.196543 | 1.450267 | 1.991879 | 1.820226 | 00:00 |
| 8 | 1.626194 | 2.608214 | 1.238177 | 1.449675 | 1.882285 | 1.954705 | 00:00 |
| 9 | 1.626489 | 2.742920 | 1.289579 | 1.492588 | 2.156632 | 1.902211 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.628663 | 2.821923 | 1.302370 | 1.469820 | 2.121363 | 1.984343 | 00:00 |
| 1 | 1.628663 | 2.409065 | 1.209028 | 1.449388 | 1.868873 | 1.890457 | 00:00 |
| 2 | 1.628663 | 2.370160 | 1.214641 | 1.457386 | 2.134205 | 1.939553 | 00:00 |
| 3 | 1.628663 | 2.353674 | 1.202017 | 1.434514 | 2.144090 | 1.988679 | 00:00 |
| 4 | 1.628663 | 2.234230 | 1.171564 | 1.447605 | 1.816609 | 1.850699 | 00:00 |
| 5 | 1.628663 | 2.103726 | 1.139067 | 1.446769 | 1.707669 | 1.805085 | 00:00 |
| 6 | 1.628663 | 2.374786 | 1.216095 | 1.437442 | 1.962035 | 1.968243 | 00:00 |
| 7 | 1.628661 | 2.628320 | 1.253268 | 1.418079 | 1.843362 | 2.006840 | 00:00 |
| 8 | 1.628623 | 2.638592 | 1.257288 | 1.432313 | 1.922309 | 1.986375 | 00:00 |
| 9 | 1.628591 | 2.558214 | 1.251040 | 1.455340 | 1.940444 | 1.995147 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.614382 | 2.857205 | 1.308921 | 1.451518 | 1.956584 | 2.235818 | 00:00 |
| 1 | 1.614364 | 2.440225 | 1.227091 | 1.428098 | 1.888043 | 2.091079 | 00:00 |
| 2 | 1.614154 | 2.336958 | 1.202312 | 1.432610 | 1.933832 | 2.079676 | 00:00 |
| 3 | 1.614048 | 2.230438 | 1.176810 | 1.442950 | 1.707676 | 2.060377 | 00:00 |
| 4 | 1.613986 | 2.339879 | 1.198665 | 1.459708 | 1.783049 | 2.151605 | 00:00 |
| 5 | 1.613944 | 2.487458 | 1.231038 | 1.460344 | 1.872855 | 2.133184 | 00:00 |
| 6 | 1.613914 | 2.563035 | 1.254730 | 1.436874 | 1.901207 | 2.151605 | 00:00 |
| 7 | 1.613891 | 2.409756 | 1.217749 | 1.443736 | 1.921566 | 2.154237 | 00:00 |
| 8 | 1.613874 | 2.552452 | 1.260593 | 1.468829 | 1.988790 | 2.263886 | 00:00 |
| 9 | 1.613860 | 2.474312 | 1.229506 | 1.441481 | 1.905532 | 2.183184 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.613758 | 2.339798 | 1.196294 | 1.424436 | 1.840876 | 2.226746 | 00:00 |
| 1 | 1.613758 | 2.375992 | 1.197435 | 1.424215 | 1.800833 | 2.219465 | 00:00 |
| 2 | 1.613758 | 2.296847 | 1.183344 | 1.421165 | 1.819959 | 2.219465 | 00:00 |
| 3 | 1.613758 | 2.252502 | 1.175445 | 1.404292 | 1.842017 | 2.137009 | 00:00 |
| 4 | 1.613758 | 2.252502 | 1.175445 | 1.404292 | 1.842017 | 2.137009 | 00:00 |
| 5 | 1.613758 | 2.338448 | 1.202990 | 1.423078 | 1.813519 | 2.151044 | 00:00 |
| 6 | 1.613758 | 2.351713 | 1.206292 | 1.431505 | 1.800213 | 2.178237 | 00:00 |
| 7 | 1.613758 | 2.351713 | 1.201936 | 1.431554 | 1.794507 | 2.158062 | 00:00 |
| 8 | 1.613758 | 2.405987 | 1.192997 | 1.430803 | 1.617010 | 2.178585 | 00:00 |
| 9 | 1.613758 | 2.298610 | 1.179510 | 1.437019 | 1.645721 | 2.116034 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.613758 | 2.287329 | 1.181008 | 1.434178 | 1.733456 | 2.143468 | 00:00 |
| 1 | 1.613758 | 2.286895 | 1.178228 | 1.436992 | 1.728900 | 2.143468 | 00:00 |
| 2 | 1.613758 | 2.239497 | 1.163557 | 1.442291 | 1.689837 | 2.118030 | 00:00 |
| 3 | 1.613758 | 2.239497 | 1.163557 | 1.442291 | 1.689837 | 2.118030 | 00:00 |
| 4 | 1.613758 | 2.346319 | 1.194294 | 1.434159 | 1.870407 | 2.136470 | 00:00 |
| 5 | 1.613758 | 2.352180 | 1.196092 | 1.432502 | 1.904168 | 2.148732 | 00:00 |
| 6 | 1.613758 | 2.369649 | 1.204453 | 1.439233 | 1.938519 | 2.175047 | 00:00 |
| 7 | 1.613758 | 2.376701 | 1.209302 | 1.436331 | 1.973747 | 2.186451 | 00:00 |
| 8 | 1.613758 | 2.376701 | 1.209302 | 1.436331 | 1.973747 | 2.186451 | 00:00 |
| 9 | 1.613758 | 2.432273 | 1.228248 | 1.440166 | 2.060654 | 2.248372 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.613758 | 2.415708 | 1.224810 | 1.435385 | 2.014778 | 2.222056 | 00:00 |
| 1 | 1.613758 | 2.419058 | 1.227834 | 1.426701 | 2.069539 | 2.148732 | 00:00 |
| 2 | 1.613758 | 2.409441 | 1.224598 | 1.420639 | 2.057725 | 2.161890 | 00:00 |
| 3 | 1.613758 | 2.212586 | 1.157521 | 1.404903 | 1.812152 | 2.182942 | 00:00 |
| 4 | 1.613758 | 2.204346 | 1.151882 | 1.406464 | 1.832260 | 2.177679 | 00:00 |
| 5 | 1.613758 | 2.205665 | 1.148519 | 1.412423 | 1.807295 | 2.164521 | 00:00 |
| 6 | 1.613758 | 2.095738 | 1.115721 | 1.408562 | 1.694295 | 2.125925 | 00:00 |
| 7 | 1.613758 | 2.131878 | 1.128634 | 1.408984 | 1.718286 | 2.146977 | 00:00 |
| 8 | 1.613758 | 2.131878 | 1.128634 | 1.408984 | 1.718286 | 2.146977 | 00:00 |
| 9 | 1.613758 | 2.131878 | 1.128634 | 1.408984 | 1.718286 | 2.146977 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.613758 | 2.104593 | 1.119211 | 1.394630 | 1.734948 | 2.163644 | 00:00 |
| 1 | 1.613758 | 2.104593 | 1.119211 | 1.394630 | 1.734948 | 2.163644 | 00:00 |
| 2 | 1.613758 | 2.095982 | 1.115339 | 1.384563 | 1.705483 | 2.138205 | 00:00 |
| 3 | 1.613758 | 2.138390 | 1.125510 | 1.389296 | 1.753568 | 2.125047 | 00:00 |
| 4 | 1.613758 | 2.074429 | 1.107659 | 1.396380 | 1.749761 | 2.085574 | 00:00 |
| 5 | 1.613758 | 2.231371 | 1.150226 | 1.388745 | 2.041455 | 2.140837 | 00:00 |
| 6 | 1.613758 | 2.253534 | 1.152984 | 1.382058 | 2.071391 | 2.149609 | 00:00 |
| 7 | 1.613758 | 2.343081 | 1.180595 | 1.386952 | 2.105532 | 2.178521 | 00:00 |
| 8 | 1.613758 | 2.339870 | 1.171548 | 1.379713 | 2.146771 | 2.207469 | 00:00 |
| 9 | 1.613758 | 2.339870 | 1.171548 | 1.379713 | 2.146771 | 2.207469 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.875735 | 3.328658 | 1.471768 | 1.482492 | 2.335601 | 3.059624 | 00:00 |
| 1 | 2.933458 | 3.822348 | 1.564551 | 1.418191 | 3.174384 | 3.309456 | 00:00 |
| 2 | 2.871920 | 3.326445 | 1.478548 | 1.450972 | 2.835192 | 3.155637 | 00:00 |
| 3 | 2.832226 | 3.622826 | 1.487123 | 1.434415 | 2.775197 | 3.200702 | 00:00 |
| 4 | 2.733747 | 3.283543 | 1.433347 | 1.443386 | 2.880633 | 3.509380 | 00:00 |
| 5 | 2.665707 | 3.107990 | 1.431190 | 1.415995 | 2.744990 | 3.433336 | 00:00 |
| 6 | 2.625456 | 2.831186 | 1.357530 | 1.395057 | 2.671849 | 3.244976 | 00:00 |
| 7 | 2.568663 | 3.172539 | 1.442469 | 1.395611 | 3.264876 | 3.079770 | 00:00 |
| 8 | 2.532028 | 2.907225 | 1.337140 | 1.321749 | 2.927305 | 2.789355 | 00:00 |
| 9 | 2.498400 | 2.447409 | 1.215062 | 1.323174 | 2.341099 | 2.460425 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.241559 | 2.438705 | 1.227529 | 1.340313 | 2.664728 | 2.535227 | 00:00 |
| 1 | 2.315969 | 2.300041 | 1.211304 | 1.344445 | 2.214065 | 2.273478 | 00:00 |
| 2 | 2.349646 | 2.021012 | 1.119841 | 1.329061 | 2.160069 | 2.113282 | 00:00 |
| 3 | 2.369933 | 2.156142 | 1.164857 | 1.364941 | 2.165385 | 2.026022 | 00:00 |
| 4 | 2.382838 | 2.165956 | 1.159367 | 1.325359 | 2.169117 | 1.909074 | 00:00 |
| 5 | 2.391812 | 2.150651 | 1.159497 | 1.377033 | 1.895268 | 1.710793 | 00:00 |
| 6 | 2.396002 | 1.941681 | 1.094927 | 1.362908 | 1.874911 | 1.666707 | 00:00 |
| 7 | 2.400622 | 2.105386 | 1.143179 | 1.368772 | 2.046646 | 1.633349 | 00:00 |
| 8 | 2.403653 | 1.985021 | 1.090968 | 1.344877 | 1.925792 | 1.596397 | 00:00 |
| 9 | 2.430725 | 2.073444 | 1.143704 | 1.379097 | 1.953791 | 1.575650 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.614313 | 2.021533 | 1.128042 | 1.365771 | 1.891420 | 1.696887 | 00:00 |
| 1 | 2.625241 | 2.516987 | 1.262452 | 1.410481 | 2.397771 | 2.025345 | 00:00 |
| 2 | 2.611477 | 2.345635 | 1.226338 | 1.386620 | 2.441042 | 2.129129 | 00:00 |
| 3 | 2.606547 | 2.816159 | 1.300732 | 1.405051 | 2.962537 | 2.088609 | 00:00 |
| 4 | 2.604999 | 2.635847 | 1.265601 | 1.376246 | 3.004048 | 2.134875 | 00:00 |
| 5 | 2.598711 | 2.462223 | 1.240275 | 1.358981 | 2.667933 | 2.147413 | 00:00 |
| 6 | 2.595056 | 2.549144 | 1.257349 | 1.391978 | 2.769586 | 2.093153 | 00:00 |
| 7 | 2.591533 | 2.759423 | 1.328007 | 1.438943 | 2.786014 | 2.128457 | 00:00 |
| 8 | 2.587453 | 2.662561 | 1.289973 | 1.435792 | 2.616030 | 2.086717 | 00:00 |
| 9 | 2.583656 | 2.877813 | 1.330608 | 1.417934 | 2.851249 | 2.150554 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.525736 | 2.514259 | 1.254964 | 1.424308 | 2.484028 | 2.056755 | 00:00 |
| 1 | 2.523209 | 2.659166 | 1.305845 | 1.420858 | 2.105093 | 2.951440 | 00:00 |
| 2 | 2.545676 | 2.406092 | 1.249306 | 1.452808 | 2.001480 | 2.446466 | 00:00 |
| 3 | 2.545833 | 2.713902 | 1.330742 | 1.429044 | 2.562444 | 2.445360 | 00:00 |
| 4 | 2.546858 | 2.457512 | 1.290606 | 1.449717 | 2.120273 | 2.658298 | 00:00 |
| 5 | 2.544958 | 2.560575 | 1.284532 | 1.433586 | 2.128639 | 2.690998 | 00:00 |
| 6 | 2.540096 | 2.359976 | 1.243736 | 1.460437 | 1.978926 | 2.645647 | 00:00 |
| 7 | 2.528872 | 2.816857 | 1.377500 | 1.519962 | 2.393005 | 3.061437 | 00:00 |
| 8 | 2.519999 | 3.002765 | 1.399372 | 1.481545 | 2.887462 | 3.240972 | 00:00 |
| 9 | 2.512774 | 2.522039 | 1.295116 | 1.470863 | 2.292103 | 3.370799 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.463353 | 2.991396 | 1.411287 | 1.520859 | 3.015187 | 3.462904 | 00:00 |
| 1 | 2.462183 | 3.505080 | 1.481014 | 1.432604 | 3.527544 | 3.205922 | 00:00 |
| 2 | 2.461372 | 3.340669 | 1.445217 | 1.432861 | 3.522861 | 3.024343 | 00:00 |
| 3 | 2.460381 | 3.337624 | 1.451043 | 1.413712 | 3.623811 | 2.971951 | 00:00 |
| 4 | 2.459786 | 3.620306 | 1.545833 | 1.460782 | 3.923727 | 2.746007 | 00:00 |
| 5 | 2.459558 | 3.426662 | 1.508398 | 1.455364 | 3.643647 | 2.777935 | 00:00 |
| 6 | 2.453247 | 3.357279 | 1.486114 | 1.456981 | 3.619023 | 2.786025 | 00:00 |
| 7 | 2.447468 | 3.029205 | 1.399229 | 1.438495 | 3.179723 | 2.732247 | 00:00 |
| 8 | 2.443137 | 3.000535 | 1.390127 | 1.435140 | 3.158640 | 2.657919 | 00:00 |
| 9 | 2.439729 | 3.218519 | 1.425468 | 1.445475 | 3.396703 | 2.685719 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.415211 | 3.403066 | 1.478142 | 1.442128 | 3.534725 | 2.865815 | 00:00 |
| 1 | 2.397645 | 3.762022 | 1.591262 | 1.495420 | 3.953271 | 2.772807 | 00:00 |
| 2 | 2.373351 | 3.889067 | 1.602899 | 1.463258 | 4.140804 | 2.870028 | 00:00 |
| 3 | 2.358002 | 3.508966 | 1.519915 | 1.459930 | 3.647835 | 2.847068 | 00:00 |
| 4 | 2.346878 | 3.085206 | 1.404982 | 1.404805 | 3.010629 | 2.751350 | 00:00 |
| 5 | 2.340247 | 3.130505 | 1.426627 | 1.435258 | 2.981544 | 2.720914 | 00:00 |
| 6 | 2.335517 | 3.643305 | 1.550610 | 1.462267 | 3.614430 | 2.729660 | 00:00 |
| 7 | 2.331846 | 3.513762 | 1.516915 | 1.452107 | 3.609768 | 2.843225 | 00:00 |
| 8 | 2.328905 | 3.699310 | 1.561876 | 1.434138 | 3.923258 | 2.930176 | 00:00 |
| 9 | 2.326559 | 3.799683 | 1.586284 | 1.444334 | 4.098922 | 2.919683 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.309210 | 3.985669 | 1.632461 | 1.459275 | 4.348306 | 2.982839 | 00:00 |
| 1 | 2.309210 | 3.819956 | 1.598191 | 1.453313 | 4.126546 | 2.956491 | 00:00 |
| 2 | 2.309210 | 3.717416 | 1.555180 | 1.440237 | 3.775744 | 2.926060 | 00:00 |
| 3 | 2.309210 | 3.738661 | 1.556090 | 1.417457 | 3.977411 | 2.934955 | 00:00 |
| 4 | 2.309210 | 3.540049 | 1.508434 | 1.418463 | 3.654899 | 2.858290 | 00:00 |
| 5 | 2.309086 | 3.698520 | 1.552006 | 1.422142 | 3.863642 | 2.890702 | 00:00 |
| 6 | 2.308829 | 3.730914 | 1.558989 | 1.455585 | 3.745633 | 2.728421 | 00:00 |
| 7 | 2.308458 | 3.639441 | 1.543221 | 1.480174 | 3.649313 | 2.773158 | 00:00 |
| 8 | 2.307933 | 3.643539 | 1.543460 | 1.490847 | 3.678505 | 2.829825 | 00:00 |
| 9 | 2.307513 | 3.497718 | 1.506750 | 1.481188 | 3.616855 | 2.794737 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.304412 | 3.376075 | 1.486914 | 1.476921 | 3.520289 | 2.750842 | 00:00 |
| 1 | 2.304412 | 3.355568 | 1.482876 | 1.470459 | 3.609062 | 2.777277 | 00:00 |
| 2 | 2.304105 | 3.253007 | 1.455438 | 1.456839 | 3.482333 | 2.650681 | 00:00 |
| 3 | 2.303683 | 3.237311 | 1.448550 | 1.444119 | 3.469347 | 2.631005 | 00:00 |
| 4 | 2.303430 | 3.364543 | 1.482677 | 1.461154 | 3.550323 | 2.623697 | 00:00 |
| 5 | 2.303262 | 2.979924 | 1.403667 | 1.460540 | 2.959426 | 2.496614 | 00:00 |
| 6 | 2.303142 | 2.877198 | 1.368547 | 1.453479 | 3.020270 | 2.491324 | 00:00 |
| 7 | 2.303052 | 2.915846 | 1.373812 | 1.449938 | 3.074777 | 2.501325 | 00:00 |
| 8 | 2.302983 | 2.920655 | 1.374376 | 1.438028 | 3.084308 | 2.523518 | 00:00 |
| 9 | 2.302927 | 3.062477 | 1.410460 | 1.454577 | 3.056603 | 2.552465 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.302515 | 3.017148 | 1.415255 | 1.445928 | 3.097167 | 2.607702 | 00:00 |
| 1 | 2.302515 | 3.005562 | 1.414937 | 1.449505 | 3.070061 | 2.626088 | 00:00 |
| 2 | 2.302515 | 2.993777 | 1.409832 | 1.437373 | 3.110739 | 2.605035 | 00:00 |
| 3 | 2.302515 | 2.970718 | 1.397520 | 1.429040 | 3.230462 | 2.626614 | 00:00 |
| 4 | 2.302515 | 2.954540 | 1.392627 | 1.443635 | 3.092230 | 2.553807 | 00:00 |
| 5 | 2.302515 | 3.137672 | 1.433525 | 1.439835 | 3.389532 | 2.591526 | 00:00 |
| 6 | 2.302515 | 3.075135 | 1.415358 | 1.430153 | 3.308590 | 2.595035 | 00:00 |
| 7 | 2.302515 | 3.008164 | 1.388839 | 1.427441 | 3.239939 | 2.603807 | 00:00 |
| 8 | 2.302515 | 3.004768 | 1.386363 | 1.427771 | 3.242660 | 2.651175 | 00:00 |
| 9 | 2.302515 | 3.004768 | 1.386363 | 1.427771 | 3.242660 | 2.651175 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.302515 | 2.958693 | 1.373845 | 1.417672 | 3.077572 | 2.628371 | 00:00 |
| 1 | 2.302515 | 3.025889 | 1.403738 | 1.438437 | 3.114451 | 2.652026 | 00:00 |
| 2 | 2.302515 | 3.047942 | 1.418657 | 1.442869 | 3.224718 | 2.698518 | 00:00 |
| 3 | 2.302515 | 3.113430 | 1.428787 | 1.424633 | 3.230378 | 2.637525 | 00:00 |
| 4 | 2.302515 | 3.105788 | 1.419460 | 1.427281 | 3.177690 | 2.546751 | 00:00 |
| 5 | 2.302515 | 2.994867 | 1.399367 | 1.446423 | 2.970515 | 2.459754 | 00:00 |
| 6 | 2.302515 | 2.924619 | 1.361167 | 1.434761 | 2.773267 | 2.478731 | 00:00 |
| 7 | 2.302515 | 2.996762 | 1.380440 | 1.416657 | 2.798198 | 2.590984 | 00:00 |
| 8 | 2.302515 | 3.036972 | 1.393672 | 1.431070 | 2.756743 | 2.540120 | 00:00 |
| 9 | 2.302515 | 2.904192 | 1.374099 | 1.418280 | 2.768778 | 2.540990 | 00:00 |
{'share_weights_in_layers': False}
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 3.239475 | 4.041133 | 1.609271 | 1.490729 | 4.039144 | 3.440806 | 00:00 |
| 1 | 4.116425 | 4.183454 | 1.608854 | 1.518576 | 4.576773 | 3.595780 | 00:00 |
| 2 | 3.565553 | 4.489520 | 1.683787 | 1.539073 | 5.235188 | 4.046602 | 00:00 |
| 3 | 3.186938 | 4.049804 | 1.630078 | 1.542988 | 4.175557 | 3.813917 | 00:00 |
| 4 | 2.974855 | 3.693504 | 1.598372 | 1.600958 | 3.413023 | 3.870549 | 00:00 |
| 5 | 2.811598 | 3.600758 | 1.526915 | 1.550628 | 3.036403 | 3.854660 | 00:00 |
| 6 | 2.677744 | 3.603014 | 1.534276 | 1.575578 | 3.075627 | 3.859329 | 00:00 |
| 7 | 2.564978 | 3.110018 | 1.412921 | 1.524350 | 2.826017 | 3.770937 | 00:00 |
| 8 | 2.477755 | 3.005093 | 1.392278 | 1.497938 | 2.748127 | 3.527741 | 00:00 |
| 9 | 2.408130 | 2.690869 | 1.329114 | 1.497532 | 2.294733 | 3.291419 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.899710 | 2.637951 | 1.300562 | 1.458118 | 2.074815 | 3.198778 | 00:00 |
| 1 | 1.867786 | 2.954055 | 1.375646 | 1.444985 | 2.634071 | 3.069005 | 00:00 |
| 2 | 1.880987 | 3.039983 | 1.385472 | 1.427578 | 2.752260 | 3.057899 | 00:00 |
| 3 | 1.888121 | 3.139954 | 1.391090 | 1.424130 | 2.840540 | 2.980581 | 00:00 |
| 4 | 1.893002 | 2.946294 | 1.352248 | 1.396962 | 2.778747 | 3.030584 | 00:00 |
| 5 | 1.882086 | 2.827640 | 1.328720 | 1.430432 | 2.682246 | 2.806759 | 00:00 |
| 6 | 1.875900 | 2.977788 | 1.357111 | 1.430820 | 2.923522 | 2.847986 | 00:00 |
| 7 | 1.878314 | 3.176369 | 1.399964 | 1.423631 | 3.160810 | 2.733109 | 00:00 |
| 8 | 1.878085 | 3.040169 | 1.379855 | 1.430187 | 2.988519 | 2.682408 | 00:00 |
| 9 | 1.879410 | 2.861604 | 1.344155 | 1.438100 | 2.905308 | 2.819426 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.894115 | 3.030594 | 1.387079 | 1.462713 | 3.067274 | 2.871180 | 00:00 |
| 1 | 1.890123 | 2.595522 | 1.299762 | 1.448206 | 2.522588 | 2.630794 | 00:00 |
| 2 | 1.885584 | 2.429042 | 1.256550 | 1.420731 | 2.290668 | 2.749214 | 00:00 |
| 3 | 1.884820 | 2.627506 | 1.314468 | 1.431551 | 2.445788 | 2.712724 | 00:00 |
| 4 | 1.883741 | 2.631049 | 1.306863 | 1.418131 | 2.361321 | 2.608338 | 00:00 |
| 5 | 1.882833 | 2.791176 | 1.330848 | 1.391291 | 2.274641 | 2.628513 | 00:00 |
| 6 | 1.882186 | 3.001329 | 1.390140 | 1.421762 | 2.632429 | 2.791636 | 00:00 |
| 7 | 1.881837 | 2.925311 | 1.387638 | 1.440933 | 2.819330 | 2.924969 | 00:00 |
| 8 | 1.882085 | 3.044904 | 1.435901 | 1.450650 | 2.992086 | 2.951285 | 00:00 |
| 9 | 1.883293 | 3.170653 | 1.450831 | 1.433486 | 2.986237 | 2.993356 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.890489 | 3.094023 | 1.430617 | 1.430438 | 2.924836 | 2.960022 | 00:00 |
| 1 | 1.890452 | 2.758312 | 1.357882 | 1.422946 | 2.565363 | 3.108127 | 00:00 |
| 2 | 1.871236 | 2.582709 | 1.308521 | 1.395120 | 2.403764 | 3.216450 | 00:00 |
| 3 | 1.873915 | 2.908653 | 1.382757 | 1.408121 | 2.610599 | 3.139776 | 00:00 |
| 4 | 1.877896 | 2.595191 | 1.306885 | 1.395862 | 2.303082 | 3.149426 | 00:00 |
| 5 | 1.889283 | 3.110242 | 1.405086 | 1.422307 | 2.708978 | 3.097741 | 00:00 |
| 6 | 1.895544 | 2.439195 | 1.215096 | 1.415683 | 2.129276 | 2.971951 | 00:00 |
| 7 | 1.889608 | 2.566721 | 1.257322 | 1.434934 | 2.048583 | 3.044724 | 00:00 |
| 8 | 1.883472 | 3.201454 | 1.421575 | 1.458250 | 2.880520 | 2.749636 | 00:00 |
| 9 | 1.879403 | 3.526293 | 1.476769 | 1.468591 | 2.966519 | 2.582338 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.882998 | 2.873270 | 1.298370 | 1.437229 | 2.109260 | 2.584619 | 00:00 |
| 1 | 1.871832 | 2.621155 | 1.265713 | 1.433249 | 2.221412 | 2.535250 | 00:00 |
| 2 | 1.868079 | 2.683733 | 1.319484 | 1.491143 | 2.430809 | 2.576162 | 00:00 |
| 3 | 1.864529 | 2.787400 | 1.346574 | 1.490220 | 2.652906 | 2.648420 | 00:00 |
| 4 | 1.863855 | 3.227413 | 1.424334 | 1.461001 | 3.321038 | 2.784560 | 00:00 |
| 5 | 1.861009 | 2.861228 | 1.342478 | 1.445634 | 2.824872 | 2.575755 | 00:00 |
| 6 | 1.858979 | 2.691388 | 1.305546 | 1.429057 | 2.514905 | 2.524899 | 00:00 |
| 7 | 1.857210 | 2.566049 | 1.287411 | 1.444158 | 2.294968 | 2.488070 | 00:00 |
| 8 | 1.854319 | 2.522661 | 1.263509 | 1.422280 | 2.125430 | 2.453441 | 00:00 |
| 9 | 1.844401 | 2.671770 | 1.298002 | 1.434401 | 2.425258 | 2.549110 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.771059 | 2.711190 | 1.309154 | 1.437516 | 2.356830 | 2.435075 | 00:00 |
| 1 | 1.765323 | 2.360875 | 1.214030 | 1.406429 | 1.956728 | 2.290303 | 00:00 |
| 2 | 1.763412 | 2.425175 | 1.235377 | 1.420254 | 1.858062 | 2.276795 | 00:00 |
| 3 | 1.761479 | 2.902173 | 1.352970 | 1.472565 | 2.452352 | 2.361882 | 00:00 |
| 4 | 1.732329 | 2.897482 | 1.351440 | 1.480564 | 2.337440 | 2.393586 | 00:00 |
| 5 | 1.710251 | 2.847641 | 1.338926 | 1.485735 | 2.293932 | 2.434162 | 00:00 |
| 6 | 1.690237 | 2.936620 | 1.359474 | 1.454425 | 2.513217 | 2.485390 | 00:00 |
| 7 | 1.673702 | 2.960296 | 1.341296 | 1.421453 | 2.499584 | 2.220829 | 00:00 |
| 8 | 1.660870 | 2.833142 | 1.326879 | 1.429600 | 2.547653 | 2.283075 | 00:00 |
| 9 | 1.650630 | 2.955732 | 1.351036 | 1.423823 | 2.695028 | 2.319426 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.574914 | 3.130072 | 1.362636 | 1.391832 | 2.910048 | 2.435566 | 00:00 |
| 1 | 1.574914 | 2.995490 | 1.342036 | 1.415022 | 2.497674 | 2.547847 | 00:00 |
| 2 | 1.574914 | 3.206241 | 1.405816 | 1.424170 | 2.825371 | 2.518162 | 00:00 |
| 3 | 1.574914 | 3.173883 | 1.415696 | 1.443775 | 2.888759 | 2.544478 | 00:00 |
| 4 | 1.574914 | 3.294493 | 1.438855 | 1.447069 | 2.955422 | 2.561238 | 00:00 |
| 5 | 1.574914 | 3.226309 | 1.419680 | 1.448059 | 2.999088 | 2.631671 | 00:00 |
| 6 | 1.574914 | 3.426494 | 1.456783 | 1.439607 | 3.001799 | 2.697426 | 00:00 |
| 7 | 1.574914 | 3.352181 | 1.444873 | 1.470562 | 2.922807 | 2.757952 | 00:00 |
| 8 | 1.574914 | 3.332326 | 1.433165 | 1.467446 | 2.925399 | 2.695285 | 00:00 |
| 9 | 1.574914 | 3.498677 | 1.457330 | 1.456436 | 2.902373 | 2.707916 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.574914 | 3.653690 | 1.477226 | 1.443587 | 3.126052 | 2.674057 | 00:00 |
| 1 | 1.574914 | 3.821280 | 1.504081 | 1.439679 | 3.194536 | 2.761285 | 00:00 |
| 2 | 1.574914 | 4.163082 | 1.580551 | 1.451118 | 3.620378 | 2.806904 | 00:00 |
| 3 | 1.574914 | 4.266263 | 1.588040 | 1.438134 | 3.763799 | 2.940233 | 00:00 |
| 4 | 1.574914 | 4.861281 | 1.721169 | 1.480451 | 4.406704 | 2.977111 | 00:00 |
| 5 | 1.574914 | 4.528162 | 1.658176 | 1.488110 | 3.971427 | 3.000472 | 00:00 |
| 6 | 1.574914 | 4.164637 | 1.577393 | 1.479781 | 3.547055 | 2.958654 | 00:00 |
| 7 | 1.574914 | 4.171793 | 1.569779 | 1.462766 | 3.236336 | 3.002513 | 00:00 |
| 8 | 1.574914 | 4.662922 | 1.678211 | 1.471250 | 3.789028 | 2.970057 | 00:00 |
| 9 | 1.574914 | 4.729057 | 1.706589 | 1.483512 | 3.889405 | 2.968303 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.574914 | 4.517097 | 1.659559 | 1.479548 | 3.643467 | 2.906899 | 00:00 |
| 1 | 1.574914 | 5.475277 | 1.830410 | 1.484188 | 4.577427 | 2.997250 | 00:00 |
| 2 | 1.574914 | 5.280678 | 1.804798 | 1.499954 | 4.486965 | 2.964794 | 00:00 |
| 3 | 1.574914 | 5.051089 | 1.752164 | 1.484442 | 4.093200 | 2.993180 | 00:00 |
| 4 | 1.574914 | 5.007636 | 1.751511 | 1.478661 | 4.170567 | 3.021241 | 00:00 |
| 5 | 1.574914 | 4.599203 | 1.663069 | 1.453189 | 3.856944 | 2.927390 | 00:00 |
| 6 | 1.574914 | 4.764580 | 1.678279 | 1.443256 | 3.875415 | 2.892794 | 00:00 |
| 7 | 1.574914 | 4.459624 | 1.642697 | 1.452894 | 3.654126 | 2.812875 | 00:00 |
| 8 | 1.574914 | 4.325134 | 1.616182 | 1.439064 | 3.413534 | 2.832618 | 00:00 |
| 9 | 1.574914 | 4.453896 | 1.638614 | 1.443816 | 3.524541 | 2.827355 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.574914 | 4.801094 | 1.691195 | 1.456023 | 3.852887 | 2.879111 | 00:00 |
| 1 | 1.574914 | 4.592644 | 1.651402 | 1.451792 | 3.630933 | 2.875636 | 00:00 |
| 2 | 1.574914 | 4.562708 | 1.665731 | 1.474254 | 3.681842 | 2.908583 | 00:00 |
| 3 | 1.574914 | 4.388591 | 1.647449 | 1.466454 | 3.473614 | 2.891917 | 00:00 |
| 4 | 1.574914 | 4.390101 | 1.639056 | 1.459417 | 3.311021 | 2.884022 | 00:00 |
| 5 | 1.574914 | 4.612066 | 1.659921 | 1.471366 | 3.387425 | 2.813847 | 00:00 |
| 6 | 1.574914 | 4.608444 | 1.660267 | 1.475633 | 3.381269 | 2.808583 | 00:00 |
| 7 | 1.574914 | 4.651986 | 1.675948 | 1.465559 | 3.705038 | 2.857706 | 00:00 |
| 8 | 1.574914 | 4.663641 | 1.697051 | 1.473304 | 3.779762 | 2.846303 | 00:00 |
| 9 | 1.574914 | 4.778365 | 1.732085 | 1.492590 | 3.960988 | 2.939285 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.500347 | 3.686574 | 1.548280 | 1.454552 | 3.723380 | 3.132856 | 00:00 |
| 1 | 3.208292 | 2.615252 | 1.267268 | 1.374821 | 2.509196 | 2.531760 | 00:00 |
| 2 | 3.437884 | 2.558480 | 1.265698 | 1.455889 | 2.666125 | 2.840735 | 00:00 |
| 3 | 3.404696 | 3.952397 | 1.567740 | 1.463882 | 4.662790 | 2.721988 | 00:00 |
| 4 | 3.308468 | 4.105052 | 1.612062 | 1.467471 | 4.853560 | 2.573635 | 00:00 |
| 5 | 3.304309 | 5.303935 | 1.844219 | 1.492046 | 5.672586 | 2.754913 | 00:00 |
| 6 | 3.302951 | 5.895895 | 1.965574 | 1.525895 | 6.620500 | 2.796341 | 00:00 |
| 7 | 3.319592 | 5.970874 | 1.964212 | 1.493512 | 7.110277 | 2.757808 | 00:00 |
| 8 | 3.331153 | 5.368850 | 1.849915 | 1.532285 | 6.245940 | 2.644543 | 00:00 |
| 9 | 3.320428 | 4.402946 | 1.717987 | 1.526007 | 4.168348 | 2.174253 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 3.200513 | 3.288177 | 1.407133 | 1.387924 | 3.986160 | 1.773033 | 00:00 |
| 1 | 2.983511 | 3.524937 | 1.511345 | 1.433228 | 4.108417 | 1.963768 | 00:00 |
| 2 | 2.893420 | 3.705336 | 1.536595 | 1.435279 | 4.246255 | 2.165680 | 00:00 |
| 3 | 2.724361 | 2.818154 | 1.353256 | 1.457952 | 2.889409 | 2.123096 | 00:00 |
| 4 | 2.618828 | 2.977259 | 1.369874 | 1.442651 | 3.242009 | 2.252878 | 00:00 |
| 5 | 2.545624 | 3.144325 | 1.432500 | 1.483529 | 3.282770 | 2.394816 | 00:00 |
| 6 | 2.481741 | 3.021845 | 1.362687 | 1.428107 | 3.379808 | 2.280238 | 00:00 |
| 7 | 2.435803 | 3.189779 | 1.447764 | 1.469068 | 3.354607 | 2.313484 | 00:00 |
| 8 | 2.402538 | 3.092794 | 1.398776 | 1.442549 | 3.212103 | 2.338131 | 00:00 |
| 9 | 2.374118 | 3.134233 | 1.412435 | 1.465587 | 2.875159 | 2.417341 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.035597 | 2.544651 | 1.279186 | 1.451373 | 2.566452 | 2.474265 | 00:00 |
| 1 | 2.046865 | 2.651424 | 1.310606 | 1.438358 | 2.753402 | 2.498745 | 00:00 |
| 2 | 2.052368 | 2.147858 | 1.176057 | 1.406411 | 2.061775 | 2.566552 | 00:00 |
| 3 | 2.060226 | 1.870893 | 1.083130 | 1.372389 | 1.755139 | 2.584287 | 00:00 |
| 4 | 2.054059 | 1.858509 | 1.083592 | 1.374783 | 1.779301 | 2.583219 | 00:00 |
| 5 | 2.050324 | 2.107843 | 1.169499 | 1.407732 | 2.059209 | 2.561291 | 00:00 |
| 6 | 2.046862 | 2.253046 | 1.207906 | 1.427127 | 2.178593 | 2.708841 | 00:00 |
| 7 | 2.052492 | 2.180433 | 1.190259 | 1.440792 | 2.147857 | 2.712262 | 00:00 |
| 8 | 2.049896 | 1.956571 | 1.116216 | 1.390890 | 1.979189 | 2.782523 | 00:00 |
| 9 | 2.054051 | 2.222256 | 1.173690 | 1.401377 | 2.283804 | 2.748424 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 2.046070 | 2.663204 | 1.275577 | 1.450587 | 2.429536 | 2.590233 | 00:00 |
| 1 | 1.978425 | 2.884697 | 1.319017 | 1.453261 | 2.562247 | 2.459534 | 00:00 |
| 2 | 1.943642 | 2.737488 | 1.295522 | 1.472762 | 2.364341 | 2.413920 | 00:00 |
| 3 | 1.928090 | 3.001442 | 1.373289 | 1.476038 | 2.722658 | 2.455148 | 00:00 |
| 4 | 1.912101 | 2.988993 | 1.361186 | 1.446913 | 2.758750 | 2.498745 | 00:00 |
| 5 | 1.902382 | 2.867699 | 1.363803 | 1.458678 | 2.733553 | 2.582937 | 00:00 |
| 6 | 1.890999 | 3.567957 | 1.475891 | 1.466192 | 3.269151 | 2.637948 | 00:00 |
| 7 | 1.882769 | 3.683133 | 1.512868 | 1.450486 | 3.643003 | 2.646749 | 00:00 |
| 8 | 1.876928 | 3.935288 | 1.566266 | 1.450468 | 3.710696 | 2.658188 | 00:00 |
| 9 | 1.872088 | 3.565167 | 1.482660 | 1.441226 | 3.243334 | 2.625729 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.854413 | 2.818187 | 1.314366 | 1.425502 | 2.655291 | 2.649387 | 00:00 |
| 1 | 1.847633 | 3.568261 | 1.484541 | 1.427750 | 3.836468 | 2.695883 | 00:00 |
| 2 | 1.851585 | 3.064429 | 1.374462 | 1.434162 | 3.141302 | 2.663462 | 00:00 |
| 3 | 1.841932 | 2.644051 | 1.296925 | 1.466387 | 2.729259 | 2.645919 | 00:00 |
| 4 | 1.838450 | 2.705622 | 1.321469 | 1.475514 | 2.501387 | 2.663228 | 00:00 |
| 5 | 1.836541 | 2.896588 | 1.374823 | 1.488604 | 2.809984 | 2.670219 | 00:00 |
| 6 | 1.835027 | 3.054994 | 1.395014 | 1.472544 | 2.829030 | 2.712090 | 00:00 |
| 7 | 1.832454 | 3.202558 | 1.410517 | 1.457381 | 2.892143 | 2.827003 | 00:00 |
| 8 | 1.830546 | 3.396101 | 1.469295 | 1.452064 | 3.572499 | 2.702441 | 00:00 |
| 9 | 1.828859 | 3.290670 | 1.458394 | 1.483624 | 3.436028 | 2.638207 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.819186 | 3.439530 | 1.490413 | 1.501934 | 3.547670 | 2.598055 | 00:00 |
| 1 | 1.814115 | 3.729678 | 1.555120 | 1.505209 | 3.735328 | 2.614722 | 00:00 |
| 2 | 1.812426 | 3.605202 | 1.527501 | 1.503088 | 3.417419 | 2.585775 | 00:00 |
| 3 | 1.806723 | 3.903941 | 1.605734 | 1.531532 | 3.678129 | 2.672435 | 00:00 |
| 4 | 1.803306 | 4.114371 | 1.643534 | 1.521608 | 4.060293 | 2.689257 | 00:00 |
| 5 | 1.804398 | 3.964608 | 1.606249 | 1.494175 | 4.489995 | 2.638380 | 00:00 |
| 6 | 1.802234 | 4.042449 | 1.626323 | 1.518383 | 4.521616 | 2.663818 | 00:00 |
| 7 | 1.803239 | 4.069244 | 1.632250 | 1.534788 | 4.418039 | 2.624345 | 00:00 |
| 8 | 1.804019 | 4.506812 | 1.707554 | 1.547376 | 4.965176 | 2.607652 | 00:00 |
| 9 | 1.804642 | 4.264168 | 1.674027 | 1.576750 | 4.480741 | 2.607652 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.809245 | 3.981300 | 1.615696 | 1.563846 | 4.220607 | 2.540959 | 00:00 |
| 1 | 1.809245 | 4.227490 | 1.651180 | 1.548949 | 4.421738 | 2.512888 | 00:00 |
| 2 | 1.802894 | 4.245359 | 1.662252 | 1.561639 | 4.455910 | 2.536573 | 00:00 |
| 3 | 1.799721 | 4.146045 | 1.619398 | 1.532932 | 4.282319 | 2.546222 | 00:00 |
| 4 | 1.801782 | 4.106119 | 1.621686 | 1.556934 | 4.118237 | 2.569029 | 00:00 |
| 5 | 1.803155 | 4.008636 | 1.603436 | 1.537079 | 3.892135 | 2.622511 | 00:00 |
| 6 | 1.804134 | 4.223512 | 1.634087 | 1.523417 | 4.149731 | 2.614090 | 00:00 |
| 7 | 1.804867 | 4.169631 | 1.648523 | 1.544376 | 4.097600 | 2.604968 | 00:00 |
| 8 | 1.805435 | 4.257939 | 1.667698 | 1.558741 | 4.174712 | 2.625169 | 00:00 |
| 9 | 1.805889 | 4.377389 | 1.686346 | 1.559083 | 4.300214 | 2.633941 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.809245 | 4.461646 | 1.697770 | 1.552450 | 4.334075 | 2.672953 | 00:00 |
| 1 | 1.809245 | 4.657785 | 1.732272 | 1.563395 | 4.538325 | 2.699268 | 00:00 |
| 2 | 1.809245 | 4.541944 | 1.709175 | 1.569640 | 4.507912 | 2.660698 | 00:00 |
| 3 | 1.809245 | 4.441454 | 1.682068 | 1.557620 | 4.343344 | 2.699321 | 00:00 |
| 4 | 1.805281 | 4.483754 | 1.715464 | 1.578681 | 4.628602 | 2.627444 | 00:00 |
| 5 | 1.802641 | 4.377417 | 1.700016 | 1.566196 | 4.469063 | 2.480265 | 00:00 |
| 6 | 1.800653 | 4.396040 | 1.719408 | 1.578650 | 4.337708 | 2.416578 | 00:00 |
| 7 | 1.799168 | 4.704908 | 1.758147 | 1.571921 | 4.837978 | 2.596684 | 00:00 |
| 8 | 1.797863 | 3.998880 | 1.627930 | 1.571989 | 3.802266 | 2.631783 | 00:00 |
| 9 | 1.796822 | 4.197504 | 1.668641 | 1.579905 | 4.316638 | 2.660810 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.807746 | 4.100847 | 1.648843 | 1.579496 | 4.163174 | 2.577161 | 00:00 |
| 1 | 1.807777 | 4.040080 | 1.641529 | 1.572035 | 4.124212 | 2.619272 | 00:00 |
| 2 | 1.807762 | 4.230613 | 1.674171 | 1.573260 | 4.380878 | 2.596073 | 00:00 |
| 3 | 1.807754 | 4.424458 | 1.720798 | 1.582033 | 4.583832 | 2.679770 | 00:00 |
| 4 | 1.807750 | 4.573950 | 1.754667 | 1.594121 | 4.615868 | 2.655187 | 00:00 |
| 5 | 1.807747 | 4.254640 | 1.690464 | 1.589550 | 4.116524 | 2.591122 | 00:00 |
| 6 | 1.807745 | 4.165888 | 1.674183 | 1.577275 | 4.008010 | 2.538485 | 00:00 |
| 7 | 1.805488 | 4.415234 | 1.704114 | 1.591147 | 4.927324 | 2.565069 | 00:00 |
| 8 | 1.803046 | 5.230161 | 1.840528 | 1.543216 | 6.277379 | 2.372345 | 00:00 |
| 9 | 1.801428 | 5.081489 | 1.839344 | 1.612590 | 5.735403 | 2.402856 | 00:00 |
| epoch | train_loss | valid_loss | mae | smape | b_loss | theta | time |
|---|---|---|---|---|---|---|---|
| 0 | 1.783557 | 4.888389 | 1.776989 | 1.574882 | 5.226021 | 2.544567 | 00:00 |
| 1 | 1.784134 | 4.553392 | 1.722419 | 1.544290 | 4.649562 | 2.637547 | 00:00 |
| 2 | 1.790529 | 4.424378 | 1.701361 | 1.576792 | 4.551611 | 2.720529 | 00:00 |
| 3 | 1.792641 | 4.718046 | 1.764225 | 1.534925 | 5.575830 | 2.662906 | 00:00 |
| 4 | 1.789606 | 4.441710 | 1.708977 | 1.510318 | 5.369943 | 2.816871 | 00:00 |
| 5 | 1.781993 | 2.980477 | 1.361434 | 1.489555 | 3.246345 | 2.330345 | 00:00 |
| 6 | 1.775447 | 2.954166 | 1.351107 | 1.461780 | 3.297149 | 2.090134 | 00:00 |
| 7 | 1.770051 | 2.806562 | 1.317316 | 1.470817 | 3.058766 | 2.158170 | 00:00 |
| 8 | 1.766166 | 2.715086 | 1.294411 | 1.448694 | 3.037379 | 2.193362 | 00:00 |
| 9 | 1.763201 | 3.082113 | 1.361988 | 1.439597 | 3.459204 | 2.337851 | 00:00 |
