Untitled

mail@pastecode.io avatar
unknown
plain_text
a year ago
13 kB
0
Indexable
Never
inear INPUT:  [[ 0.60818867 -0.         -0.         ...  0.7566395   0.76105217
   0.95662586]
 [ 0.62336049 -0.         -0.         ...  0.7663932   0.76500902
   0.96244919]
 [ 0.62187723 -0.         -0.         ...  0.76095867  0.76005279
   0.96279148]
 ...
 [ 0.62281004 -0.         -0.         ...  0.76001783  0.76180102
   0.96421306]
 [ 0.61865922 -0.         -0.         ...  0.76065595  0.76537807
   0.97209805]
 [ 0.61601322 -0.          0.00109403 ...  0.760158    0.75952078
   0.96711253]]
Linear INPUT:  [[-0.         -0.          0.21418626 ...  1.02206928  1.64387641
   0.67687485]
 [-0.         -0.          0.25496303 ...  1.07355545  1.51481562
   0.62494531]
 [-0.          0.02852561  0.25486153 ...  0.87557829  1.62995506
   0.66185595]
 ...
 [-0.         -0.          0.34958056 ...  0.96583382  1.64324985
   0.67499794]
 [-0.         -0.          0.29728257 ...  1.00064983  1.57680956
   0.59708889]
 [-0.          0.03289981  0.3677422  ...  1.02909159  1.59342435
   0.59521374]]
Linear INPUT:  [[ 2.12946966  1.13598775 -0.         ... -0.          2.32470485
   2.61280844]
 [ 2.01725393  1.20953495 -0.         ... -0.          2.28118424
   2.76684908]
 [ 2.0864334   0.97868629 -0.         ... -0.          2.40311401
   2.66666885]
 ...
 [ 2.06490143  1.04544885 -0.         ... -0.          2.35076189
   2.67477193]
 [ 2.04458845  1.0928909  -0.         ... -0.          2.30535251
   2.69447617]
 [ 2.02252985  1.14788092 -0.         ... -0.          2.33358993
   2.83109827]]
100%|███████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:15<00:00, 15.31s/it]
  0%|                                                                                               | 0/1 [00:00<?, ?it/sL 
inear INPUT:  [[ 6.00758583e-01  2.99942876e-03  2.14371484e-04 ...  7.55487910e-01
   7.62574814e-01  9.44210301e-01]
 [ 6.08230622e-01 -0.00000000e+00  1.09271238e-03 ...  7.67567285e-01
   7.63513066e-01  9.29781577e-01]
 [ 5.96563350e-01  8.52875632e-03  1.69660708e-02 ...  7.45436289e-01
   7.44421158e-01  9.18345075e-01]
 ...
 [ 6.36457029e-01 -0.00000000e+00 -0.00000000e+00 ...  8.15880559e-01
   8.13602140e-01  1.02318194e+00]
 [ 6.03739221e-01  1.17549353e-02  2.89613136e-03 ...  7.61679297e-01
   7.65560492e-01  9.48756456e-01]
 [ 6.37370799e-01 -0.00000000e+00  1.20985456e-03 ...  8.34898558e-01
   8.58241001e-01  1.01737012e+00]]
Linear INPUT:  [[-0.          0.12193511 -0.         ...  0.868357    1.73361848
   0.88594096]
 [-0.          0.15764686 -0.         ...  0.88636039  1.71489665
   0.67812874]
 [-0.         -0.         -0.         ...  1.05383323  1.76334505
   0.84743413]
 ...
 [-0.          0.07996041 -0.         ...  0.99698296  1.73548847
   0.77246253]
 [-0.          0.14808437 -0.         ...  0.79533631  1.65023034
   0.88866005]
 [-0.         -0.         -0.         ...  0.98376155  1.65086541
   0.67902403]]
Linear INPUT:  [[ 2.63366151  0.50436432 -0.         ... -0.          2.46957109
   2.45845834]
 [ 2.62326194  0.60338692 -0.         ... -0.          2.50412772
   2.44655756]
 [ 2.72544306  0.66761122 -0.         ... -0.          2.57233726
   2.50655134]
 ...
 [ 2.73593     0.60983721 -0.         ... -0.          2.51759905
   2.51061929]
 [ 2.73200077  0.43928007 -0.         ... -0.          2.41717475
   2.50254423]
 [ 2.76938059  0.58129537 -0.         ... -0.          2.53028457
   2.51726973]]
100%|███████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:06<00:00,  6.22s/it] 
Epoch 1/10 => LR 0.001
Train Loss: 1.4676 | Train Acc: 0.0200 | Train Macro F1: 0.0196
Val Loss: 5.2115 | Val Acc: 0.2400 | Val Macro F1: 0.0430
Shuffling Dataset. 
  0%|                                                                                               | 0/1 [00:00<?, ?it/sL 
inear INPUT:  [[ 0.62783429  0.00304615  0.00593816 ...  0.81310326  0.81352822
   1.02214443]
 [ 0.63457717 -0.          0.00847612 ...  0.81328854  0.81375853
   1.01667827]
 [ 0.6356429  -0.         -0.         ...  0.81258257  0.81291394
   1.01582191]
 ...
 [ 0.62179699 -0.         -0.         ...  0.81275217  0.81294014
   1.01608354]
 [ 0.63540646 -0.         -0.         ...  0.81295263  0.81456541
   1.01659278]
 [ 0.62926223 -0.         -0.         ...  0.81276617  0.81372096
   1.01684572]]
Linear INPUT:  [[-0.          0.11899692 -0.         ...  1.03741154  1.63332395
   0.70443202]
 [-0.         -0.         -0.         ...  1.12299754  1.72205154
   0.71808637]
 [-0.         -0.         -0.         ...  0.96913885  1.58887288
   0.64376741]
 ...
 [-0.          0.00173852 -0.         ...  0.86559611  1.69320541
   0.81746775]
 [-0.          0.05534896 -0.         ...  1.02916682  1.72174826
   0.83448834]
 [-0.         -0.         -0.         ...  1.08513957  1.73820074
   0.69393661]]
Linear INPUT:  [[ 2.67408384  0.61665737 -0.         ... -0.          2.52298287
   2.6959244 ]
 [ 2.80925701  0.59898296 -0.         ... -0.          2.4603498
   2.51052153]
 [ 2.71539314  0.6024167  -0.         ... -0.          2.49545664
   2.63320099]
 ...
 [ 2.69494937  0.49795978 -0.         ... -0.          2.46529626
   2.54831565]
 [ 2.78956827  0.45348284 -0.         ... -0.          2.57417111
   2.49140285]
 [ 2.88105513  0.44730768 -0.         ... -0.          2.48264363
   2.5669074 ]]
100%|███████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:15<00:00, 15.09s/it]
  0%|                                                                                               | 0/1 [00:00<?, ?it/sL 
inear INPUT:  [[ 6.00656698e-01  2.77836269e-03 -0.00000000e+00 ...  7.55608837e-01
   7.62695993e-01  9.44034006e-01]
 [ 6.08127549e-01 -0.00000000e+00  8.69217791e-04 ...  7.67692456e-01
   7.63618971e-01  9.29610915e-01]
 [ 5.96466343e-01  8.30951854e-03  1.67536002e-02 ...  7.45554992e-01
   7.44540344e-01  9.18170205e-01]
 ...
 [ 6.36373582e-01 -0.00000000e+00 -0.00000000e+00 ...  8.16005171e-01
   8.13726349e-01  1.02299751e+00]
 [ 6.03638250e-01  1.15331681e-02  2.66891720e-03 ...  7.61800401e-01
   7.65681680e-01  9.48577838e-01]
 [ 6.37287390e-01 -0.00000000e+00  9.88885230e-04 ...  8.34633142e-01
   8.58096144e-01  1.01718534e+00]]
Linear INPUT:  [[-0.          0.12173503 -0.         ...  0.86933386  1.73588672
   0.88741715]
 [-0.          0.15728425 -0.         ...  0.88724262  1.71699196
   0.67953107]
 [-0.         -0.         -0.         ...  1.05472271  1.76531715
   0.84898847]
 ...
 [-0.          0.07965458 -0.         ...  0.99810405  1.73759852
   0.77420794]
 [-0.          0.14803291 -0.         ...  0.79652835  1.65239253
   0.89039806]
 [-0.         -0.         -0.         ...  0.98494958  1.65326679
   0.68038472]]
Linear INPUT:  [[ 2.641229    0.50235619 -0.         ... -0.          2.47337885
   2.4579837 ]
 [ 2.63055541  0.60138811 -0.         ... -0.          2.50800006
   2.44612139]
 [ 2.73285431  0.66534672 -0.         ... -0.          2.57589355
   2.50586305]
 ...
 [ 2.74387516  0.60740362 -0.         ... -0.          2.52116505
   2.51010496]
 [ 2.73984184  0.43745822 -0.         ... -0.          2.42106556
   2.50242876]
 [ 2.77720146  0.57860825 -0.         ... -0.          2.53434064
   2.51643429]]
100%|███████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:06<00:00,  6.15s/it] 
Epoch 2/10 => LR 0.001
Train Loss: 0.0083 | Train Acc: 1.0000 | Train Macro F1: 1.0000
Val Loss: 5.2566 | Val Acc: 0.2400 | Val Macro F1: 0.0430
Shuffling Dataset.
  0%|                                                                                               | 0/1 [00:00<?, ?it/sL 
inear INPUT:  [[ 0.63555914 -0.          0.00148735 ...  0.81413854  0.82400277
   1.0356097 ]
 [ 0.63629841 -0.         -0.         ...  0.81346094  0.81380793
   1.02133248]
 [ 0.63508353 -0.          0.0013862  ...  0.81191725  0.81342226
   1.01917576]
 ...
 [ 0.63684021 -0.         -0.         ...  0.8128624   0.81302392
   1.01940888]
 [ 0.79094393 -0.         -0.         ...  0.80963219  0.81404988
   1.00939486]
 [ 0.62795267 -0.         -0.         ...  0.81359097  0.81337795
   1.01794371]]
Linear INPUT:  [[-0.          0.04472192 -0.         ...  0.93309846  1.65603042
   0.77489126]
 [-0.         -0.         -0.         ...  1.06441941  1.6674071
   0.61209834]
 [-0.          0.0977314  -0.         ...  0.92336708  1.72620406
   0.7615946 ]
 ...
 [-0.          0.01021267 -0.         ...  1.01435403  1.69245939
   0.75625574]
 [-0.          0.08811454 -0.         ...  0.87816304  1.90117369
   0.78524002]
 [-0.         -0.         -0.         ...  1.15357313  1.70056398
   0.66913775]]
Linear INPUT:  [[ 2.65835961  0.51252862 -0.         ... -0.          2.53628796
   2.56780489]
 [ 2.86522413  0.63929566 -0.         ... -0.          2.47650692
   2.53467498]
 [ 2.77983911  0.51406896 -0.         ... -0.          2.52861617
   2.55472383]
 ...
 [ 2.74374114  0.47488141 -0.         ... -0.          2.44855266
   2.46940374]
 [ 2.78103614  0.52239378 -0.         ... -0.          2.70449377
   2.57954028]
 [ 2.79953825  0.70945366 -0.         ... -0.          2.54223822
   2.53582802]]
100%|███████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:15<00:00, 15.06s/it]
  0%|                                                                                               | 0/1 [00:00<?, ?it/sL 
inear INPUT:  [[ 6.00560177e-01  2.56935973e-03 -0.00000000e+00 ...  7.55738396e-01
   7.62825865e-01  9.43890585e-01]
 [ 6.08029897e-01 -0.00000000e+00  6.57907513e-04 ...  7.67826104e-01
   7.63734510e-01  9.29472781e-01]
 [ 5.96355988e-01  8.10223200e-03  1.65527344e-02 ...  7.45682283e-01
   7.44668077e-01  9.18027755e-01]
 ...
 [ 6.36294536e-01 -0.00000000e+00 -0.00000000e+00 ...  8.16123647e-01
   8.13859594e-01  1.02284715e+00]
 [ 6.03542593e-01  1.13234948e-02  2.45409443e-03 ...  7.61930246e-01
   7.65811605e-01  9.48432256e-01]
 [ 6.37208380e-01 -0.00000000e+00  7.79925013e-04 ...  8.34407640e-01
   8.57983147e-01  1.01703466e+00]]
Linear INPUT:  [[-0.          0.12153763 -0.         ...  0.87026883  1.73803629
   0.88879406]
 [-0.          0.15693881 -0.         ...  0.8880895   1.71897565
   0.6808428 ]
 [-0.         -0.         -0.         ...  1.05560236  1.76719982
   0.85050273]
 ...
 [-0.          0.07935758 -0.         ...  0.99917784  1.73959897
   0.77584738]
 [-0.          0.14798052 -0.         ...  0.79766347  1.65444086
   0.89202501]
 [-0.         -0.         -0.         ...  0.98607818  1.65552053
   0.68166312]]
Linear INPUT:  [[ 2.64836201  0.50047381 -0.         ... -0.          2.47699122
   2.45758099]
 [ 2.63742465  0.59952745 -0.         ... -0.          2.51166706
   2.44575368]
 [ 2.73984565  0.66327507 -0.         ... -0.          2.57925004
   2.50520564]
 ...
 [ 2.75135812  0.60512612 -0.         ... -0.          2.52455044
   2.50966005]
 [ 2.74722446  0.43575902 -0.         ... -0.          2.4247525
   2.50235202]
 [ 2.78454118  0.57610472 -0.         ... -0.          2.53818
   2.51567091]]
100%|███████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:06<00:00,  6.08s/it] 
Epoch 3/10 => LR 0.001
Train Loss: 0.0078 | Train Acc: 1.0000 | Train Macro F1: 1.0000
Val Loss: 5.2990 | Val Acc: 0.2400 | Val Macro F1: 0.0430
Reduced learning rate to 0.0007
Shuffling Dataset.