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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.
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