File size: 29,583 Bytes
109878e 812f96b 84dea52 acf4767 d894b6b c6ad312 a8baf0f 4022cbe 8c97bc3 ca29c4b 298c292 7e96c6d 31e5835 46a8fd0 f2877e8 4533000 65feab4 05ec0b5 f0be090 c6ab986 a3ba46d b242d00 78b8095 a4f43a9 c4c7949 2bb66f4 8c3c1fb 0832816 f65db6a e1a5388 2753153 a77a7f7 7fa1384 2078d66 4da7eba 511161f f8f9070 64ebf50 3bce773 b6fbd59 9f3a4f5 6560b53 93198fd b08f72d 550ebb9 7e19820 37e9ba1 af9a305 4e45e88 379d6c9 56f8723 7ddf86c a099651 3e900b4 b905eca 2af8933 b8c73cb 9a480e5 c6c95f8 4aa97db 4c517bc 4742ff1 bbf626d b20de8f 1260ce3 4f70245 48c4454 e532167 0565f27 191f0a4 da2575b f7652d8 1a91f79 d83cbbe c704d69 0dadd63 1d0d5d9 acd5b9f ed32feb 5e55d66 d39adbf e539695 a32faa4 5fac174 9e13394 8c33064 ad9a435 3256923 979711c 91eac44 c6066c6 6745323 9edd7dd 41a069c 3b91c0f 629a79c ee33685 c7d0c66 deca22c ea78469 6d94d3b 7cffd2c c77b095 fa3c181 93d2764 bfc28fb 65330dc a013677 84c66ab f1ab046 0c25de8 bc774cb 516059f 55c185a e3f5f36 3632023 73bb3e4 72f011d 809095a 9ade346 a2caf6a 9f659ad 7c5cbb7 f926aea 9e907e6 783a2a1 57e88d7 8150c7c 90aadaf 1dd3a61 7c2deee 220ee38 cd22c93 c179581 6bd0a0a 87e7fa3 b9b9d77 00ce3bb 22a8376 7ef6005 d724c12 e2c7c0e c02cec6 ec315c3 8e6d9b9 34b9b7f c259c27 21b4130 ccdb8ff 26a98d3 77ca358 465db4b f8f5997 a462d73 d8424b4 8585e9f 9066264 8976114 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 |
Started at: 09:30:12
({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {})
Epoch: 0
Training loss: 0.21533221261281715 - MSE: 0.34197339416593503
Validation loss : 0.14451597188599408 - MSE: 0.2960304229995927
Epoch: 1
Training loss: 0.1517588474640721 - MSE: 0.2956301456982305
Validation loss : 0.12380113103426993 - MSE: 0.26862038821082024
Epoch: 2
Training loss: 0.14443182972700971 - MSE: 0.28899192076676716
Validation loss : 0.12112187955062836 - MSE: 0.2663072116915828
Epoch: 3
Training loss: 0.14475514602504277 - MSE: 0.29038970057934027
Validation loss : 0.13478531874716282 - MSE: 0.2850182042234337
Epoch: 4
Training loss: 0.1408511215134671 - MSE: 0.2861137754569417
Validation loss : 0.13267319882288575 - MSE: 0.2831877799249014
Epoch: 5
Training loss: 0.136032929232246 - MSE: 0.279424393321389
Validation loss : 0.11587779759429395 - MSE: 0.2579734090027159
Epoch: 6
Training loss: 0.1351911084432351 - MSE: 0.2779842455851462
Validation loss : 0.11928518384229392 - MSE: 0.25956903308497203
Epoch: 7
Training loss: 0.14176342871628309 - MSE: 0.28619337123151156
Validation loss : 0.11641600204166025 - MSE: 0.2570362210167332
Epoch: 8
Training loss: 0.13039547287319836 - MSE: 0.2738442464898942
Validation loss : 0.11378515849355608 - MSE: 0.2556338147619499
Epoch: 9
Training loss: 0.13758943127958398 - MSE: 0.2815961984005678
Validation loss : 0.11927694408223033 - MSE: 0.2592867935668437
Epoch: 10
Training loss: 0.13600184517471414 - MSE: 0.27845210879496773
Validation loss : 0.12289933965075761 - MSE: 0.2641740314788876
Epoch: 11
Training loss: 0.12924143111235217 - MSE: 0.27266305881012975
Validation loss : 0.11782969336491078 - MSE: 0.258937672893353
Epoch: 12
Training loss: 0.1344190981827284 - MSE: 0.28026616499269114
Validation loss : 0.11472726217471063 - MSE: 0.25845796944440735
Epoch: 13
Training loss: 0.1375312733414926 - MSE: 0.28103011966626457
Validation loss : 0.11630514287389815 - MSE: 0.25740234173235876
Epoch: 14
Training loss: 0.13571442161735736 - MSE: 0.2811562022346792
Validation loss : 0.11639386380556971 - MSE: 0.2606048270604333
Epoch: 15
Training loss: 0.14136280589982084 - MSE: 0.286976132520683
Validation loss : 0.12002589798066765 - MSE: 0.26447004281317277
Epoch: 16
Training loss: 0.13457591416020143 - MSE: 0.2796572462970741
Validation loss : 0.11478170729242265 - MSE: 0.2548193569305113
Epoch: 17
Training loss: 0.1362821259780934 - MSE: 0.28092215080945243
Validation loss : 0.11653975711669773 - MSE: 0.25721588885744495
Epoch: 18
Training loss: 0.1377105382320128 - MSE: 0.28347960023660485
Validation loss : 0.1213059100555256 - MSE: 0.2660068857726401
Epoch: 19
Training loss: 0.13346115291902894 - MSE: 0.2807079509831734
Validation loss : 0.11323059559799731 - MSE: 0.2554361889847314
Epoch: 20
Training loss: 0.1303498934758337 - MSE: 0.27570483001616874
Validation loss : 0.11533307109493762 - MSE: 0.25642082826334445
Epoch: 21
Training loss: 0.1338770524843743 - MSE: 0.2793606339234174
Validation loss : 0.12536148354411125 - MSE: 0.2694582264007295
Epoch: 22
Training loss: 0.13188404574206 - MSE: 0.2766540656590396
Validation loss : 0.13748734653927386 - MSE: 0.2803560604293125
Epoch: 23
Training loss: 0.13104969533650498 - MSE: 0.2743808910846676
Validation loss : 0.1219000396085903 - MSE: 0.2662790239332935
Epoch: 24
Training loss: 0.13551811905283678 - MSE: 0.28055588907791484
Validation loss : 0.14736322406679392 - MSE: 0.29964323991544006
Epoch: 25
Training loss: 0.13718021135581168 - MSE: 0.28318757243875925
Validation loss : 0.11899347451981157 - MSE: 0.2621157228491029
Epoch: 26
Training loss: 0.13100487805510821 - MSE: 0.2789037081560569
Validation loss : 0.13913047080859542 - MSE: 0.2888981162464006
Epoch: 27
Training loss: 0.13614017461475572 - MSE: 0.2837393993703743
Validation loss : 0.14889122126623988 - MSE: 0.3014935638998395
Epoch: 28
Training loss: 0.13263703659176826 - MSE: 0.27921183830932944
Validation loss : 0.14452552725560963 - MSE: 0.2970602020864135
Epoch: 29
Training loss: 0.13145011847740726 - MSE: 0.2774902108509513
Validation loss : 0.1312379497103393 - MSE: 0.27995068426344005
Epoch: 30
Training loss: 0.13625472262501717 - MSE: 0.28392471717865353
Validation loss : 0.15018613613210618 - MSE: 0.30232524799748717
Epoch: 31
Training loss: 0.13128532233991122 - MSE: 0.2781403466314832
Validation loss : 0.13302770163863897 - MSE: 0.27928520940577073
Epoch: 32
Training loss: 0.13286432255255548 - MSE: 0.2781598539047067
Validation loss : 0.12104220653418452 - MSE: 0.26438590515272153
Epoch: 33
Training loss: 0.13172871352810608 - MSE: 0.27850604457285644
Validation loss : 0.14591129589825869 - MSE: 0.29560644293769656
Epoch: 34
Training loss: 0.1325178251062569 - MSE: 0.27838022017297265
Validation loss : 0.12794714840129018 - MSE: 0.2727071648473611
Epoch: 35
Training loss: 0.13006003110816605 - MSE: 0.27699513519377594
Validation loss : 0.13357223267666996 - MSE: 0.27988665688417314
Epoch: 36
Training loss: 0.13186843524637976 - MSE: 0.27935558347443085
Validation loss : 0.13355786562897265 - MSE: 0.28024383311958445
Epoch: 37
Training loss: 0.13732868425155942 - MSE: 0.28687534250523655
Validation loss : 0.14360901527106762 - MSE: 0.2939016175000688
Epoch: 38
Training loss: 0.1307220984446375 - MSE: 0.2767118099647979
Validation loss : 0.11899578187149018 - MSE: 0.2615764650759047
Epoch: 39
Training loss: 0.12640678902205668 - MSE: 0.27050567044672175
Validation loss : 0.12004342454019934 - MSE: 0.2610282185264623
Epoch: 40
Training loss: 0.13265986238655292 - MSE: 0.2800912648995999
Validation loss : 0.13461088319309056 - MSE: 0.28160051242548434
Epoch: 41
Training loss: 0.12853169970606504 - MSE: 0.27416806578210084
Validation loss : 0.14122066367417574 - MSE: 0.290220834379852
Epoch: 42
Training loss: 0.1282540511143835 - MSE: 0.27264997795586526
Validation loss : 0.1272425636416301 - MSE: 0.27375264556712864
Epoch: 43
Training loss: 0.12824119266710785 - MSE: 0.27750363788126614
Validation loss : 0.16908318153582513 - MSE: 0.3251132731452344
Epoch: 44
Training loss: 0.13700977257992092 - MSE: 0.285280645453895
Validation loss : 0.14622909598983824 - MSE: 0.2962210706677979
Epoch: 45
Training loss: 0.12867848398654083 - MSE: 0.27772063118250573
Validation loss : 0.11887926666531712 - MSE: 0.2596756524067132
Epoch: 46
Training loss: 0.12666144131829865 - MSE: 0.2715553219006141
Validation loss : 0.1213836541865021 - MSE: 0.26460106517288295
Epoch: 47
Training loss: 0.12143220446611705 - MSE: 0.26636162322731693
Validation loss : 0.13553410721942782 - MSE: 0.2814099855963832
Epoch: 48
Training loss: 0.1331445730046222 - MSE: 0.28066945952464484
Validation loss : 0.126083126058802 - MSE: 0.2692692344785428
Epoch: 49
Training loss: 0.12848863872258287 - MSE: 0.2728191697215874
Validation loss : 0.13695504632778466 - MSE: 0.2860352762868388
Prediction MSE: 0.3212
Finished at: 09:30:12
Time taken: 3272 s.
0 days 0 hours 54 minutes 32 seconds
Preds: [[1.6900568008422852], [1.7126489877700806], [1.7030510902404785], [1.5045360326766968], [1.7334624528884888], [1.4049702882766724], [1.6805003881454468], [1.6475303173065186], [1.7230135202407837], [1.528635859489441], [1.4328393936157227], [1.6420462131500244], [1.658359169960022], [1.7329766750335693], [1.7435120344161987], [1.6811484098434448], [1.8068948984146118], [1.5404921770095825], [1.5891250371932983], [1.7773966789245605], [2.3260505199432373], [1.5889153480529785], [1.5818867683410645], [1.8439797163009644], [1.481227159500122], [1.6244677305221558], [1.698318362236023], [1.6598421335220337], [1.4478943347930908], [1.71151602268219], [1.7165420055389404], [1.877200722694397], [1.5009851455688477], [1.625078797340393], [1.6415104866027832], [1.5765031576156616], [1.3131076097488403], [1.6951924562454224], [1.58375084400177], [1.4895169734954834], [1.5438611507415771], [1.7017700672149658], [1.4982104301452637], [1.726356029510498], [1.6446812152862549], [1.6338332891464233], [1.6918209791183472], [1.7379902601242065], [1.6812113523483276], [1.7127681970596313], [1.6826001405715942], [1.745700478553772], [1.760201334953308], [1.755373239517212], [1.436522364616394], [2.142821788787842], [1.5847026109695435], [1.678749442100525], [1.9148458242416382], [1.8505656719207764], [1.6779271364212036], [2.0160956382751465], [1.7304030656814575], [1.865715742111206], [1.6036990880966187], [1.487944483757019], [1.8741225004196167], [1.8447071313858032], [1.9419175386428833], [1.6577091217041016], [1.6583503484725952], [1.5462045669555664], [1.746259331703186], [1.7271219491958618], [1.5807126760482788], [1.6477155685424805], [1.646667242050171], [1.6517906188964844], [1.7050132751464844], [1.5801562070846558], [1.5619596242904663], [1.5866395235061646], [1.855547308921814], [1.665362000465393], [1.5860528945922852], [1.6331489086151123], [1.4687851667404175], [1.4950751066207886], [1.3702902793884277], [1.4624669551849365], [1.5963854789733887], [1.4445228576660156], [1.6446483135223389], [1.8974685668945312], [1.520410418510437], [1.6473582983016968], [1.580016851425171], [1.56974196434021], [1.8591333627700806], [1.6435904502868652], [1.6485660076141357], [1.5336931943893433], [1.3244379758834839], [1.660390019416809], [1.841567039489746], [1.802497148513794], [1.747829556465149], [1.8856509923934937], [2.111191987991333], [1.5108615159988403], [1.834765911102295], [1.5750877857208252], [1.6504970788955688], [1.9403406381607056], [1.5734305381774902], [1.6468826532363892], [1.7196948528289795], [1.4596651792526245], [1.6353590488433838], [1.6222246885299683], [1.706644892692566], [1.8178201913833618], [1.7130059003829956], [1.3751308917999268], [1.660926103591919], [1.5293513536453247], [1.5870416164398193], [1.6197786331176758], [1.6544345617294312], [1.9893829822540283], [1.6832616329193115], [1.6540931463241577], [1.4940288066864014], [1.5530948638916016], [1.9988826513290405], [1.6208745241165161], [1.0993447303771973], [1.6583046913146973], [1.7951757907867432], [1.548815131187439], [1.6817760467529297], [1.653293490409851], [1.8961950540542603], [1.5831340551376343], [1.6949799060821533], [1.6709201335906982], [1.8273496627807617], [1.8766473531723022], [1.5394773483276367], [1.7278021574020386], [2.2690224647521973], [1.5866740942001343], [1.508465051651001], [1.5529358386993408], [1.6764105558395386], [1.9584943056106567], [1.4160739183425903], [1.5501353740692139], [1.5820915699005127], [2.304558515548706], [1.6474313735961914], [1.8504456281661987], [1.7465561628341675], [1.8208569288253784], [1.6943129301071167], [1.625054121017456], [1.6857752799987793], [1.6122946739196777], [1.6753209829330444], [1.5648677349090576], [1.6570392847061157], [1.6230273246765137], [1.9025614261627197], [1.6678975820541382], [1.6098884344100952], [1.66169273853302], [1.6064532995224], [1.5091849565505981], [1.5027780532836914], [1.7014765739440918], [2.2832274436950684], [1.7353895902633667], [1.659857153892517], [1.5856258869171143], [1.6986390352249146], [1.6439265012741089], [1.2698495388031006], [1.5132426023483276], [1.6067368984222412], [1.6820755004882812], [1.4281362295150757], [1.877410888671875], [1.3978769779205322], [1.7459242343902588], [1.6400429010391235], [1.5746005773544312], [1.6941300630569458], [1.8351694345474243], [1.5952365398406982], [1.6729917526245117], [2.001829147338867], [1.9332491159439087], [1.6950467824935913], [1.6666967868804932], [1.582731008529663], [1.5489319562911987], [1.827309250831604], [1.8435598611831665], [1.5105018615722656], [1.5858125686645508], [1.5353518724441528], [1.0340094566345215], [1.5070220232009888], [1.6584727764129639], [1.7127138376235962], [1.7852323055267334], [1.7225457429885864], [1.5813591480255127], [1.5432108640670776], [1.8373249769210815], [1.6558384895324707], [1.750501275062561], [1.78498113155365], [1.8065440654754639], [1.92832612991333], [1.7031229734420776], [1.359742522239685], [1.5901902914047241], [1.7400672435760498], [1.7038617134094238], [1.6436767578125], [1.5917882919311523], [1.7199747562408447], [1.7295727729797363], [1.7954540252685547], [2.354781150817871], [1.6960867643356323], [1.5730940103530884], [1.6438368558883667], [1.6246356964111328], [1.3854894638061523], [1.9042527675628662], [1.6557135581970215], [1.5273510217666626], [1.533410668373108], [1.721040964126587], [1.5216879844665527], [1.5422958135604858], [1.7073873281478882], [1.9984979629516602], [1.5213367938995361], [1.7345302104949951], [1.3230949640274048], [1.4762344360351562], [1.4820634126663208], [1.6352579593658447], [1.6240237951278687], [1.659604787826538], [1.590328335762024], [1.9713754653930664], [1.7331279516220093], [1.4913545846939087], [1.5795687437057495], [2.4875948429107666], [1.5342966318130493], [1.3120383024215698], [2.032684087753296], [1.673298954963684], [1.6751660108566284], [1.8054639101028442], [1.777113676071167], [1.5812678337097168], [1.982542872428894], [1.7022813558578491], [2.1224732398986816], [1.6499966382980347], [1.2347317934036255], [1.680728793144226], [1.5854464769363403], [1.6692289113998413], [1.7972509860992432], [1.6699138879776], [1.7792645692825317], [1.7434639930725098], [1.5715842247009277], [1.5997955799102783], [1.6382170915603638], [1.5499778985977173], [1.8022804260253906], [1.6115612983703613], [1.7816507816314697], [1.6704981327056885], [1.6574076414108276], [1.6573240756988525], [1.6237140893936157], [1.7007641792297363], [1.8388735055923462], [1.5437290668487549], [1.6943395137786865], [1.7140156030654907], [1.6983989477157593], [1.7692513465881348], [1.5562578439712524], [1.749849557876587], [1.723522663116455], [1.659295678138733], [1.833085060119629], [1.4527082443237305], [1.6710981130599976], [1.4359434843063354], [1.8731802701950073], [1.6281131505966187], [1.4429200887680054], [1.698984980583191], [1.7339506149291992], [1.406479835510254], [1.597522497177124], [1.6725211143493652], [1.6916682720184326], [1.7381370067596436], [1.8034883737564087], [1.671347975730896], [1.6597274541854858], [1.6393909454345703], [1.4895882606506348], [1.8832745552062988], [2.0211942195892334], [1.4767422676086426], [1.641737699508667], [1.703494668006897], [1.3961199522018433], [1.807589054107666], [2.336693525314331], [1.5456006526947021], [1.6441649198532104], [1.6171845197677612], [1.5853502750396729], [1.6584950685501099], [1.528442144393921], [1.7269113063812256], [1.8721247911453247], [1.9687875509262085], [1.5078611373901367], [2.144852638244629], [1.869855284690857], [1.6596715450286865], [2.0610249042510986], [1.7395222187042236], [1.7317821979522705], [1.7881028652191162], [1.7142682075500488], [1.7117513418197632], [1.8640553951263428], [1.5983844995498657], [1.555065631866455], [2.036496877670288], [1.648685097694397], [1.6146854162216187], [1.5531810522079468], [1.4818472862243652], [1.6736481189727783], [1.645243763923645], [1.5911942720413208], [1.5643515586853027], [1.7059274911880493], [1.7363492250442505], [1.7795895338058472], [1.5172022581100464], [1.7485915422439575], [1.6832985877990723], [1.6813929080963135], [1.63176691532135], [1.8219114542007446], [2.226433753967285], [1.8943891525268555], [1.5114742517471313], [1.746632695198059], [1.9231168031692505], [1.6146351099014282], [1.4660621881484985], [1.5765876770019531], [1.6006425619125366], [1.6227164268493652], [1.8661478757858276], [1.9630206823349], [1.5289101600646973], [2.1783502101898193], [1.5814958810806274], [1.7166162729263306], [1.839533805847168], [1.8498928546905518], [1.4080216884613037], [1.354344367980957], [1.9412401914596558], [1.5837376117706299], [1.6787339448928833], [1.8240312337875366], [1.9015278816223145], [1.3947782516479492], [1.6945711374282837], [1.5076061487197876], [1.7296611070632935], [1.670349359512329], [1.4326837062835693], [1.5497149229049683], [1.5632952451705933], [1.4637784957885742], [1.539896011352539], [1.519080400466919], [1.6349397897720337], [1.6591544151306152], [1.6346328258514404], [1.6791282892227173], [1.7319285869598389], [1.878446102142334], [1.8139277696609497], [1.8210526704788208], [1.976434350013733], [1.477333426475525], [1.6961557865142822], [1.868604302406311], [1.9142321348190308], [1.9472578763961792], [1.6187814474105835], [1.5430452823638916], [1.344533920288086], [1.8599333763122559], [1.591755747795105], [1.6840810775756836], [1.4739844799041748], [1.559500813484192], [1.6372222900390625], [1.565780758857727], [1.69430673122406], [1.6490349769592285], [1.507167100906372], [1.516986608505249], [1.770193099975586], [1.5556050539016724], [1.8493491411209106], [1.8969132900238037], [1.3547226190567017], [1.5587725639343262], [1.593640923500061], [1.7061735391616821], [1.7288455963134766], [1.7060879468917847], [1.6448791027069092], [1.7546937465667725], [1.7431808710098267], [1.4626002311706543], [1.5809799432754517], [1.5338727235794067], [1.6646689176559448], [1.6373252868652344], [1.7427514791488647], [1.8997819423675537], [1.6285347938537598], [1.7413055896759033], [1.6093382835388184], [1.7792733907699585], [1.8381433486938477], [1.624013900756836], [1.638578176498413], [1.5592706203460693], [1.2205134630203247], [1.5998334884643555], [1.825478196144104], [1.7422183752059937], [1.7357045412063599], [1.6682206392288208], [1.6793100833892822], [1.7072817087173462], [1.9479097127914429], [1.985442042350769], [1.6043452024459839], [1.6732709407806396], [1.5209200382232666], [1.6915189027786255], [1.6777349710464478], [1.498569369316101], [1.6625598669052124], [1.508500337600708], [2.205698251724243], [1.4528989791870117], [1.6502622365951538], [1.810928463935852], [1.846754550933838], [1.4861499071121216], [1.6600289344787598], [1.6174935102462769], [1.835194706916809], [1.6259100437164307], [1.6782751083374023], [1.5945837497711182], [1.6334047317504883], [1.749245524406433], [1.6571290493011475], [1.4768426418304443], [1.7386195659637451], [1.6115853786468506], [1.6692472696304321], [1.6409382820129395], [1.6987817287445068], [1.4493355751037598], [1.854305386543274], [1.5858852863311768], [1.6646076440811157], [1.5366005897521973], [1.4964938163757324], [1.5870554447174072], [1.7255409955978394], [1.4475585222244263], [1.7069026231765747], [1.5777521133422852], [1.5901167392730713], [1.7070783376693726], [1.196229100227356], [1.6097617149353027], [1.5173158645629883], [1.7234488725662231], [1.4022819995880127], [1.6216565370559692], [1.6450860500335693], [1.7006950378417969], [1.5399291515350342], [1.6376296281814575], [1.6876846551895142], [1.8600932359695435], [1.8259201049804688], [1.62544584274292], [2.2013587951660156], [1.8973708152770996], [1.7296090126037598], [1.9245595932006836], [1.6552633047103882], [1.5661989450454712], [1.9506551027297974], [1.6971509456634521], [1.7449724674224854], [1.5839853286743164], [1.6907527446746826], [1.5866992473602295], [1.7403448820114136], [1.5761539936065674], [1.6162017583847046], [1.6234350204467773], [1.5586308240890503], [1.6432392597198486], [1.6665581464767456], [1.9347902536392212], [1.641594648361206], [1.8429988622665405], [1.6382166147232056], [1.716339349746704], [1.649330973625183], [1.5092136859893799], [1.5474121570587158], [1.7131232023239136], [1.6376677751541138], [1.5914697647094727], [2.130662441253662], [1.6217397451400757], [1.453627586364746], [1.487654685974121], [1.413930892944336], [1.6865915060043335], [1.8266551494598389], [1.7729343175888062], [1.634398341178894], [1.6020311117172241], [1.7884293794631958], [1.6378475427627563], [2.046820640563965], [1.499955177307129], [1.8414311408996582], [1.7721315622329712], [1.6979550123214722], [1.647713541984558], [1.6645917892456055], [1.6904102563858032], [1.6821478605270386], [1.7082709074020386], [1.5883063077926636], [1.591684103012085], [1.6075387001037598], [1.6336846351623535], [1.6452088356018066], [1.5642797946929932], [1.7310857772827148], [1.8145291805267334], [1.4646291732788086], [1.7065140008926392], [1.662376880645752], [1.7500323057174683], [1.6111441850662231], [1.8906075954437256], [1.6696943044662476], [1.4146575927734375], [1.697169303894043], [1.7287378311157227], [1.685179591178894], [1.7039546966552734], [1.5922722816467285], [1.4555268287658691], [1.6475197076797485], [1.6587313413619995], [2.0238356590270996], [1.5189893245697021], [1.6067448854446411], [1.4944918155670166], [1.687266230583191], [1.8893663883209229], [1.65705144405365], [1.7649649381637573], [1.6316651105880737], [1.8730727434158325], [1.7140456438064575], [1.6130033731460571], [1.6789873838424683], [1.633233904838562], [1.688694715499878], [1.674340009689331], [1.898516297340393], [1.6210417747497559], [1.5553476810455322], [1.5301135778427124], [1.6709803342819214], [1.9815293550491333], [1.6079670190811157], [1.7135103940963745], [1.4975899457931519], [1.5813125371932983], [1.6987706422805786], [1.633652687072754], [1.7853848934173584], [1.8059606552124023], [1.7643169164657593], [1.6368589401245117], [2.0617997646331787], [1.7377420663833618], [1.8988171815872192], [1.3864723443984985], [1.9057279825210571], [1.4127464294433594], [1.6629977226257324], [1.6992470026016235], [1.6627085208892822], [1.7152118682861328], [1.4320529699325562], [1.6372287273406982], [1.5058221817016602], [1.569583535194397], [1.5590455532073975], [1.928735613822937], [1.674579381942749], [1.496414065361023], [1.5660589933395386], [1.6708471775054932], [1.7170636653900146], [1.6953924894332886], [1.6534979343414307], [2.111876964569092], [1.6194630861282349], [1.8997113704681396], [1.5762816667556763], [1.6496410369873047], [1.5996559858322144], [1.6559116840362549], [1.7826887369155884], [1.5957908630371094], [1.5358468294143677], [1.720251441001892], [1.6028023958206177], [1.5946266651153564], [1.7098541259765625], [1.8676480054855347], [1.7401856184005737], [1.5071231126785278], [1.4667216539382935], [1.6780872344970703], [1.8589067459106445], [1.643106460571289], [1.7756757736206055], [1.4219413995742798], [1.448065996170044], [1.614165186882019], [1.7250256538391113], [1.6837605237960815], [1.5445477962493896], [1.6756618022918701], [1.5058341026306152], [1.4392669200897217], [1.4268724918365479], [1.7040059566497803], [1.6785860061645508], [1.5667264461517334], [1.6735061407089233], [1.8326698541641235], [1.7739089727401733], [1.3511648178100586], [1.6558853387832642], [1.8533235788345337], [1.65571129322052], [1.8911038637161255], [1.5910096168518066], [1.470447063446045], [1.6579643487930298], [1.6581021547317505], [1.3769558668136597], [1.5082194805145264], [1.8340375423431396], [1.6808100938796997], [1.9831265211105347], [1.8972059488296509], [1.4874107837677002], [1.6417913436889648], [1.6834214925765991], [1.7702909708023071], [1.9012172222137451], [1.820493221282959], [1.7511506080627441], [1.8448220491409302], [1.6025639772415161], [1.6430367231369019], [1.8682351112365723], [1.4751297235488892], [1.5234850645065308], [1.9793702363967896], [1.645593285560608], [1.4238417148590088], [1.725667953491211], [1.7577059268951416], [1.696445345878601], [1.641133189201355], [1.3151514530181885], [1.5723097324371338], [1.6131556034088135], [1.60523521900177], [1.6086747646331787], [1.6535232067108154], [1.601980209350586], [1.7913217544555664], [1.6191363334655762], [1.7350939512252808], [1.4326937198638916], [1.6007333993911743], [1.4581117630004883], [1.6780657768249512], [1.7286300659179688], [1.6775404214859009], [1.6805142164230347], [1.57182776927948], [1.5836728811264038], [1.5230722427368164], [1.7457401752471924], [1.6844696998596191], [1.9671343564987183], [1.7052555084228516], [1.5014758110046387], [1.5540722608566284], [1.672508955001831], [1.6871346235275269], [1.797938346862793], [1.6767418384552002], [1.5293898582458496], [1.8230154514312744], [1.6753158569335938], [1.6070340871810913], [1.7570654153823853], [1.8619343042373657], [1.7317066192626953], [1.978508472442627], [1.7074321508407593], [1.6624987125396729], [1.6515138149261475], [1.5280747413635254], [1.7110434770584106], [1.5829010009765625], [1.2955673933029175], [1.656657099723816], [1.6135772466659546], [1.6762717962265015], [1.9945164918899536], [1.6821284294128418], [1.6811890602111816], [1.7626821994781494], [1.6013593673706055], [1.7413221597671509], [1.7113429307937622], [1.664588451385498], [1.6525300741195679], [1.6246646642684937], [1.641954779624939], [2.2955636978149414], [1.6665419340133667], [1.7608883380889893], [1.7497713565826416], [1.8123981952667236], [0.9665219187736511], [1.9256798028945923], [1.9371442794799805], [1.6231272220611572], [1.5704351663589478], [1.6973448991775513], [1.6333564519882202], [1.7823708057403564], [1.50661039352417], [1.6522600650787354], [1.7261451482772827], [1.6686803102493286], [1.689971685409546], [1.7469145059585571], [1.7154520750045776], [1.6069574356079102], [1.740631341934204], [1.6589640378952026], [1.650278925895691], [1.5699135065078735], [1.562062382698059], [1.531980037689209], [1.4475948810577393], [1.6884169578552246], [1.4967527389526367], [1.658282995223999], [1.6554638147354126], [1.601683497428894], [1.3852044343948364], [1.7370249032974243], [1.5961120128631592], [1.903275489807129], [1.7464122772216797], [1.5899430513381958], [1.643021821975708], [1.894420862197876], [1.417891263961792], [2.3211522102355957], [1.6476060152053833], [1.5562361478805542], [1.6095362901687622], [1.5989843606948853], [1.562869668006897], [1.5080468654632568], [1.6728389263153076], [1.6444941759109497], [1.6735846996307373], [1.6270582675933838], [1.671666145324707], [1.7368803024291992], [2.0792429447174072], [1.7990878820419312], [1.5605186223983765], [1.614698886871338], [1.8993502855300903], [1.619702935218811], [1.7040208578109741], [1.6300654411315918], [1.5544426441192627], [1.8607063293457031], [1.6561753749847412], [1.284417986869812], [1.7724324464797974], [1.8170186281204224], [1.8320062160491943], [1.5676288604736328], [1.6787458658218384], [1.6598821878433228], [1.6393741369247437], [1.491633653640747], [1.676960825920105], [1.5841408967971802], [1.7081866264343262], [1.6788878440856934], [1.5134649276733398], [1.9636540412902832], [1.6954762935638428], [1.6209847927093506], [1.6475484371185303], [1.8886630535125732], [1.5425432920455933], [1.7289539575576782], [1.5069255828857422], [1.7411020994186401], [1.8990556001663208], [1.6229184865951538], [1.4298350811004639], [1.599853515625], [1.5837912559509277], [2.327277183532715], [1.6506280899047852], [1.630386233329773], [1.6579385995864868], [1.5647592544555664], [1.6716209650039673], [1.4456945657730103], [1.5084753036499023], [1.6891719102859497], [1.77467942237854], [1.6110588312149048], [1.6380441188812256], [1.558619499206543], [1.5929131507873535], [1.512336015701294], [1.8496363162994385], [1.8831745386123657], [1.531718134880066], [1.7176729440689087], [1.5831851959228516], [1.6828354597091675], [1.4826362133026123], [1.5457819700241089], [1.855979323387146], [1.6566824913024902], [1.6645939350128174], [1.6702148914337158], [1.2216070890426636], [1.698750615119934], [1.5815062522888184], [1.6126850843429565], [1.832845687866211], [1.5294616222381592], [1.6145282983779907], [1.5549829006195068], [1.590241551399231], [1.4274485111236572], [1.709608554840088], [1.327300786972046], [1.674432396888733], [1.658564805984497], [1.6034621000289917], [1.9093046188354492], [1.68392014503479], [1.6126574277877808], [1.6285691261291504], [1.6480779647827148], [1.892468810081482], [1.5723240375518799], [1.5941877365112305], [1.6771173477172852], [1.9106086492538452], [1.5624477863311768], [1.4849276542663574], [1.556201696395874], [1.660490870475769], [1.544953465461731], [2.0067756175994873], [1.875667691230774], [1.7204710245132446], [1.6536098718643188], [1.4392330646514893], [1.6088166236877441], [1.5742192268371582], [1.7467784881591797], [1.701338291168213], [1.6889804601669312], [1.4515188932418823], [1.9336280822753906], [1.6223084926605225], [1.8857969045639038], [1.5922552347183228], [1.5550777912139893], [1.7366300821304321], [1.6492456197738647], [1.964525818824768], [1.6399056911468506], [1.524894118309021], [1.986633062362671], [1.516947865486145], [1.6103041172027588], [1.5943998098373413], [1.560664176940918], [1.6975475549697876], [1.6801575422286987], [1.6676628589630127], [1.8273245096206665], [1.41762375831604], [1.7004772424697876], [1.5912960767745972], [1.711381435394287], [1.3893671035766602], [1.586683750152588], [1.716310739517212], [1.6909205913543701], [1.5096355676651], [1.686236023902893], [1.8777645826339722], [1.8343417644500732], [1.055117130279541], [1.9023994207382202], [1.6098448038101196], [1.6116535663604736], [1.5981957912445068], [1.8239997625350952], [1.2064073085784912], [1.7136873006820679], [1.9512790441513062], [2.335771083831787], [1.6455031633377075], [1.896622657775879], [1.7194801568984985], [1.4240608215332031], [1.722123384475708], [1.7171632051467896], [1.5904287099838257], [1.4411108493804932], [1.5342674255371094], [1.5480283498764038], [1.580307126045227]]
|