modified: Figure_1.png
modified: checkpoints/forward/best_tcn_model.pt modified: checkpoints/forward/training_history.csv new file: checkpoints_mlp/task1_feature_mlp/best_feature_mlp.pt new file: checkpoints_mlp/task1_feature_mlp/training_history.csv new file: checkpoints_rms/forward_rms/best_rms_model.pt new file: checkpoints_rms/forward_rms/training_history.csv modified: evaluation_outputs/forward/evaluation_forward_test_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b3_s0.png new file: evaluation_outputs/forward_rms/evaluation_test_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_test_s0.png new file: evaluation_outputs/forward_rms/evaluation_train_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_s0.png new file: evaluation_outputs/forward_rms/evaluation_val_s0_waveform.png new file: evaluation_outputs/task1_feature_mlp/evaluation_train_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_train_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_val_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_s0.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_0.75Hz_prediction.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_1.55Hz_prediction.png new file: scripts/__pycache__/config.cpython-310.pyc new file: scripts/__pycache__/dataset.cpython-310.pyc new file: scripts/__pycache__/model.cpython-310.pyc new file: scripts/config.py new file: scripts/dataset.py new file: scripts/evaluate.py new file: scripts/model.py new file: scripts/predict_single.py new file: scripts/train.py modified: src/__pycache__/config.cpython-310.pyc modified: src/__pycache__/dataset.cpython-310.pyc modified: src/__pycache__/model.cpython-310.pyc modified: src/config.py modified: src/dataset.py modified: src/model.py new file: src_new/__pycache__/config.cpython-310.pyc new file: src_new/__pycache__/dataset.cpython-310.pyc new file: src_new/__pycache__/evaluate.cpython-310.pyc new file: src_new/__pycache__/model.cpython-310.pyc new file: src_new/__pycache__/train.cpython-310.pyc new file: src_new/config.py new file: src_new/dataset.py new file: src_new/evaluate.py new file: src_new/model.py new file: src_new/train.py
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@@ -1,14 +1,11 @@
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epoch,lr,train_loss,train_time_loss,train_weighted_time_loss,train_fft_loss,train_rms_loss,train_scale_loss,train_underestimate_loss,train_envelope_loss,train_rms_error,train_dominant_freq_error,val_loss,val_time_loss,val_weighted_time_loss,val_fft_loss,val_rms_loss,val_scale_loss,val_underestimate_loss,val_envelope_loss,val_rms_error,val_dominant_freq_error
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1,0.001,32.23490004269582,0.9063257234838774,0.09063257336757093,2462.537229142099,0.5202015545570625,0.5072746667659508,0.23183272828189833,0.9878060196368199,0.5202015545570625,0.6667674588373308,16.848691019518622,0.5030307245665583,0.05030307315033058,712.1304384428879,0.21638367042459292,0.3054182426682834,0.16712227438030572,0.7986705179872184,0.21638367042459292,0.9571996228951049
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2,0.001,21.43670712776904,0.9317702313639084,0.09317702508338217,1694.0047123747052,0.35049294160222105,0.3616391454102858,0.1121402242625097,0.672775794312639,0.35049294160222105,0.6002240721274537,18.15417513354071,0.5811605972462687,0.058116060392609956,948.0657793242356,0.23726162314414978,0.3922087324076685,0.15394838554142365,0.7320991713425209,0.23726162314414978,0.8361816405868994
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3,0.001,18.081004331696708,0.949055330933265,0.09490553458344261,1372.9708672289578,0.28145609332143134,0.3131425976753235,0.09374795892750318,0.6080609613432074,0.28145609332143134,0.616063318727439,16.73266759412042,0.5420598767954727,0.05420598895128431,673.0913622625943,0.238979727286717,0.33492567107595245,0.1804515516449665,0.7293170896069757,0.238979727286717,0.7597824622933206
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4,0.001,15.158426779621053,0.9718681652590914,0.09718681784030402,1005.0683164776497,0.2189214069325969,0.2836238658934269,0.08367646379695046,0.5845890998278024,0.2189214069325969,0.6179393338571753,17.278400026518725,0.5685602380283947,0.056856024560743366,892.716255977236,0.22618299260221678,0.36168746264844104,0.1538948353444194,0.6990852653980255,0.22618299260221678,0.7597824622933206
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5,0.001,13.61913053044733,0.9698394334541177,0.09698394513776842,859.7200766509434,0.19106561557020782,0.2557676170232161,0.07612784807833861,0.5538543634257227,0.19106561557020782,0.6155450957215706,17.31632186626566,0.5785790409507423,0.057857905097048856,895.00206572434,0.21634554451909557,0.35666010605877846,0.1514351657302729,0.7220557270378902,0.21634554451909557,0.7402091190436203
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6,0.001,12.678725962368947,0.9694307513956754,0.0969430767351164,788.4346546676924,0.1713324544845887,0.23463592369039105,0.07080332469195127,0.5323761788741598,0.1713324544845887,0.6164817462027068,18.423015594482422,0.5721222347226637,0.057212224808232535,888.629751271215,0.25913861959144985,0.4007708651238474,0.16395779438959113,0.7525067822686557,0.25913861959144985,0.7218985721265917
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7,0.001,12.268796533908484,0.967802310889622,0.09678023287429,744.56112426182,0.1675024907684551,0.2299804154713199,0.06777841198029665,0.5231116253812358,0.1675024907684551,0.5961900787542253,17.48041952067408,0.5510032737049563,0.055100328578003524,704.0817605380354,0.2379121222886546,0.37086750232967836,0.19612120528673305,0.7370918125941835,0.2379121222886546,0.7088496766840734
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8,0.001,11.889431161700555,0.967772865070487,0.09677728824317455,712.115890215028,0.1614244244289848,0.2226250537161557,0.06655820054968573,0.5118434342010966,0.1614244244289848,0.6022199021486582,18.410391971982758,0.5461424337378864,0.05461424415738418,738.1983037488214,0.2533088120920905,0.3795644687167529,0.21159803308546543,0.7770289305982918,0.2533088120920905,0.707797346401937
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9,0.001,11.234980547203207,0.9654024828155086,0.09654024967326308,670.3140682004532,0.14827435323089924,0.20859187953876998,0.062428659900038874,0.4916352005499714,0.14827435323089924,0.5623616312479263,16.51186601046858,0.5469307437025267,0.05469307598882708,658.5074381335028,0.23887184570575581,0.3477302913008065,0.18191729235494958,0.6951427665250055,0.23887184570575581,0.7065345500594454
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10,0.001,10.992490152143082,0.9626774315564137,0.09626774419591112,649.039663350807,0.14625250653557056,0.20260991113928128,0.061842711396374796,0.48383018318212256,0.14625250653557056,0.568747647623218,17.501161114922887,0.5506949491541961,0.05506949608439002,671.2075416301859,0.2541997463538729,0.373840541675173,0.19259302314884705,0.7480303932880533,0.2541997463538729,0.708428744563363
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11,0.0005,10.806822551871246,0.9680146614335617,0.09680146787245318,637.6420590382702,0.14451587228280194,0.2035975716305229,0.0572100906404403,0.4776927213061531,0.14451587228280194,0.5574953460125556,17.13407661174906,0.5288547395632185,0.05288547495829648,618.1973874322299,0.2417878899081,0.34800343832065317,0.21005815672206468,0.7388678706925491,0.2417878899081,0.7122171335564683
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12,0.0005,10.255595112746617,0.9616962041494981,0.09616962194723903,599.1373590433373,0.12593858316540718,0.18720266560338578,0.05598305191247249,0.4703599948365733,0.12593858316540718,0.5670544286673502,16.41022307297279,0.5580467443014013,0.055804675894564594,691.4893851444639,0.23402822017669678,0.3565609496215294,0.17255781141334567,0.6764166149599798,0.23402822017669678,0.6966426454535165
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13,0.0005,9.979247138185322,0.9624017550135558,0.09624017732885648,580.7163422782467,0.12185739905063836,0.18553815514973873,0.05258095577657926,0.4598706980358879,0.12185739905063836,0.5524671217591512,16.273903156148975,0.5295915886245924,0.05295915985158805,541.1639246447332,0.23793373128463483,0.3361044392503541,0.20454522344315873,0.7062619534032099,0.23793373128463483,0.7056926858376642
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1,0.001,25.599940884788083,1.7562742283884085,0.1756274257347269,2774.0617503040244,0.48780856886,0.4243854204157613,0.1559595560549565,0.8805500887474924,0.48780856886,0.5304876364710495,11.634879671294113,0.5565754904829222,0.05565755005026686,1030.2479747903758,0.19599251089424924,0.30123303316790484,0.07480601036262795,0.6266409343686598,0.19599251089424924,1.0759024783184585
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2,0.001,18.8950198911271,1.807937761522689,0.18079377879511635,1975.3159283332104,0.3459213998801303,0.35067820830165214,0.1092575388907824,0.758364588865694,0.3459213998801303,0.4821035959354592,10.542049144876414,0.5095152341086289,0.05095152441283752,783.4861005585769,0.16758740950247336,0.2732687505154774,0.10411370940634916,0.6904992646184461,0.16758740950247336,0.9969777073497166
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3,0.001,16.69826183678969,1.7823544706938401,0.17823545016207784,1672.4529568654186,0.30989001663226,0.3281119924108937,0.10324830568905147,0.7008864249823228,0.30989001663226,0.5562505104268722,11.536806665617844,0.5393576467859333,0.05393576609163449,807.3707762093379,0.21286767027501402,0.33425827504232014,0.10436723167718999,0.6995668801768072,0.21286767027501402,1.0535930765001758
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4,0.001,14.293646308611024,1.7581631035174963,0.1758163128540201,1394.1521462494472,0.25787185048157313,0.2936001386282579,0.08524404234200153,0.6856944434485346,0.25787185048157313,0.4707189468993712,11.0088351677204,0.512058621850507,0.05120586244196727,716.754319289635,0.18768149871250678,0.30934940792363264,0.12457355485972145,0.7022169437901727,0.18768149871250678,0.9801404230908486
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5,0.001,13.64289491581467,1.7736638503254585,0.1773663880127781,1282.9595152656987,0.2586157521549261,0.2966467724093851,0.0801986690856657,0.662726102291413,0.2586157521549261,0.4816929557024733,12.69674718791041,0.5321119869577473,0.0532112003400408,923.869591548525,0.2018765033832912,0.3501281591838804,0.1300795058286267,0.763439338782738,0.2018765033832912,0.8944807380729035
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6,0.001,11.776648678869572,1.7715154886245728,0.17715155192703572,1060.149999654518,0.21744662122625225,0.2669158032480276,0.07291070573067046,0.6286382666736279,0.21744662122625225,0.49275163173347086,13.566723692006079,0.5599699513665561,0.055996995740409554,1081.8859031940328,0.23347977780062576,0.399347482827203,0.09571884981966738,0.753588840879243,0.23347977780062576,0.802507071705832
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7,0.001,10.598831523139522,1.8021629632643934,0.180216298631902,959.8165948256006,0.1918528508746399,0.24521326632151064,0.06225078732197015,0.5634953882896675,0.1918528508746399,0.43498506576279067,12.335502788938324,0.5373578256574171,0.053735782938270735,897.6921434073613,0.22004679693230267,0.3851976631016567,0.09088767872288309,0.7485740184783936,0.22004679693230267,0.7111648032890617
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8,0.0005,10.096835316352124,1.771101622086651,0.17711016507643573,904.1345197569649,0.18218446649470418,0.2265465495721349,0.06017633231427028,0.5831915904890816,0.18218446649470418,0.4688892364850107,12.481576097422632,0.55741053922423,0.05574105519416003,993.8351429906385,0.20113462980451255,0.37394588877414836,0.08785425563310754,0.7251736295634302,0.20113462980451255,0.7193729794563382
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9,0.0005,9.301918011791301,1.8092092241881028,0.18092092534281173,872.4488234609928,0.15496070823579464,0.2050890047454609,0.05094481654078612,0.5316191723324218,0.15496070823579464,0.45952377956299667,12.33887189010094,0.529184412339638,0.052918442107480146,888.4320715542498,0.2059096264941939,0.35693827361382285,0.11748063429820768,0.7306599390917811,0.2059096264941939,0.7187415812949122
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10,0.0005,9.509747361237148,1.775009681593697,0.17750097143481364,875.1525979671839,0.15211023376235422,0.21900151374767413,0.054768192924488826,0.5556492130711393,0.15211023376235422,0.48492007759302524,11.80303616359316,0.5109482181483301,0.05109482271404102,766.1427895118451,0.20308723608995305,0.33445684663180647,0.13568100256138835,0.7249893361124499,0.20308723608995305,0.7126380656820888
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