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
This commit is contained in:
2026-05-06 12:19:55 +08:00
parent dcc023cc04
commit 484643409d
48 changed files with 2706 additions and 18 deletions

View File

@@ -0,0 +1,30 @@
epoch,lr,train_loss,train_relative_loss,train_log_loss,train_mae_loss,train_waveform_l1,train_waveform_huber,train_rms_error,val_loss,val_relative_loss,val_log_loss,val_mae_loss,val_waveform_l1,val_waveform_huber,val_rms_error
1,0.001,0.3693518406814999,0.24889015323585933,0.05584108498361376,0.25861359967125785,0.5032549103101095,0.25580188632011414,0.24889015323585933,0.4390127956867218,0.30896639823913574,0.056898053735494614,0.3188031315803528,0.44043534994125366,0.17367032170295715,0.30896639823913574
2,0.001,0.3945225642787086,0.2697031597296397,0.06360895559191704,0.27172964480188155,0.4614827699131436,0.224760792321629,0.2697031597296397,0.36929574608802795,0.2602313160896301,0.0452926866710186,0.2584935128688812,0.4390406906604767,0.17246951162815094,0.2602313160896301
3,0.001,0.5084060496754117,0.3563646740383572,0.09457878602875604,0.32678870028919643,0.4492427276240455,0.19155073165893555,0.3563646740383572,0.30823153257369995,0.2178763449192047,0.03594436123967171,0.20229224860668182,0.4395522177219391,0.1724669635295868,0.2178763449192047
4,0.001,0.46196970012452865,0.2874237828784519,0.10073509646786584,0.3864523735311296,0.4910557005140517,0.2566720247268677,0.2874237828784519,0.2588622272014618,0.1819354146718979,0.02867879904806614,0.16302458941936493,0.44016343355178833,0.1725275069475174,0.1819354146718979
5,0.001,0.4498247702916463,0.2731182641453213,0.0863925533162223,0.3938671946525574,0.6069219443533156,0.33671536213821834,0.2731182641453213,0.3132787346839905,0.22292804718017578,0.02889658883213997,0.2158222645521164,0.44235706329345703,0.17352235317230225,0.22292804718017578
6,0.001,0.42692894405788845,0.28966741760571796,0.05804820607105891,0.3025594221221076,0.5698766128884422,0.3100252277735207,0.28966741760571796,0.4311088025569916,0.3014686703681946,0.060949672013521194,0.30897605419158936,0.4416200518608093,0.17345383763313293,0.3014686703681946
7,0.001,0.36648913555675083,0.2673240436447991,0.04492858507566982,0.2210414773888058,0.40499014324612087,0.1858146521780226,0.2673240436447991,0.3253621459007263,0.2316536009311676,0.031499434262514114,0.22455067932605743,0.43930211663246155,0.17284171283245087,0.2316536009311676
8,0.001,0.3705151147312588,0.2639704677793715,0.056356401907073125,0.23181239929464129,0.40243885583347744,0.1668036257227262,0.2639704677793715,0.2693358361721039,0.19200395047664642,0.023184901103377342,0.17564474046230316,0.43946224451065063,0.17288772761821747,0.19200395047664642
9,0.001,0.3809369206428528,0.238957146803538,0.05438671095503701,0.32686107357343036,0.5658377408981323,0.32192010349697536,0.238957146803538,0.22007109224796295,0.15654480457305908,0.01698182336986065,0.1330064833164215,0.43889322876930237,0.17233915627002716,0.15654480457305908
10,0.001,0.3033063875304328,0.20820601118935478,0.03028729951216115,0.2125823481215371,0.4863186809751723,0.244431518846088,0.20820601118935478,0.2353043407201767,0.16689710319042206,0.020381871610879898,0.14587727189064026,0.43858274817466736,0.17178986966609955,0.16689710319042206
11,0.001,0.3418840931521522,0.21859833929273817,0.041131472835938133,0.3211692141162025,0.4186662236849467,0.1973548432191213,0.21859833929273817,0.2819516360759735,0.19871805608272552,0.029886296018958092,0.1862599402666092,0.43857088685035706,0.17136642336845398,0.19871805608272552
12,0.001,0.327799528837204,0.2257505324151781,0.038094287945164576,0.24139907293849522,0.4269571900367737,0.19686741133530936,0.2257505324151781,0.2265533208847046,0.15818463265895844,0.02364269271492958,0.13944414258003235,0.43839970231056213,0.17068645358085632,0.15818463265895844
13,0.001,0.5482124156422086,0.2889212518930435,0.05876548960804939,0.7335240874025557,0.7617671754625108,0.4734871983528137,0.2889212518930435,0.13387161493301392,0.09191606938838959,0.01390319224447012,0.05341717228293419,0.4380643963813782,0.1701544225215912,0.09191606938838959
14,0.001,0.2683628300825755,0.1934465699725681,0.03215170403321584,0.1588393354581462,0.3651085015800264,0.16354632439712682,0.1934465699725681,0.11752602458000183,0.08033295720815659,0.0075136758387088776,0.0473531074821949,0.43740665912628174,0.16951507329940796,0.08033295720815659
15,0.001,0.23245521552032894,0.15845761530929142,0.021862993792941172,0.1661414752403895,0.4185062315728929,0.17951083762778175,0.15845761530929142,0.13540877401828766,0.09327995032072067,0.009294009767472744,0.06379763782024384,0.4362388551235199,0.16890482604503632,0.09327995032072067
16,0.001,0.2540251049730513,0.16881393061743843,0.02455571148958471,0.1829415543211831,0.4814679291513231,0.2550777710146374,0.16881393061743843,0.24452388286590576,0.17012111842632294,0.027872953563928604,0.15593497455120087,0.43555423617362976,0.16831809282302856,0.17012111842632294
17,0.001,0.27790621254179215,0.16291005578305987,0.02768930456497603,0.27147142092386883,0.5733835763401456,0.3216428938839171,0.16291005578305987,0.23126113414764404,0.16358613967895508,0.019583800807595253,0.14588342607021332,0.4346035122871399,0.16748279333114624,0.16358613967895508
18,0.001,0.21714572608470917,0.16336159076955584,0.02207756083872583,0.11655174030197991,0.29744883709483677,0.09367910772562027,0.16336159076955584,0.21335509419441223,0.15434198081493378,0.013381856493651867,0.12396419048309326,0.43387162685394287,0.1662997454404831,0.15434198081493378
19,0.001,0.39585938718583846,0.23502571880817413,0.03807514740361108,0.43226980169614154,0.5700339277585348,0.33255258699258167,0.23502571880817413,0.29088473320007324,0.1979036182165146,0.050344835966825485,0.18606995046138763,0.4335789680480957,0.16567720472812653,0.1979036182165146
20,0.001,0.26503710283173454,0.18777255879508126,0.03789552880658044,0.15700330336888632,0.36711519294314915,0.16105001833703783,0.18777255879508126,0.3211463689804077,0.22426843643188477,0.04961967095732689,0.20329146087169647,0.4336654543876648,0.16470572352409363,0.22426843643188477
21,0.001,0.28275859852631885,0.18599259356657663,0.043205282702628106,0.20048580318689346,0.4617711802323659,0.22377558714813656,0.18599259356657663,0.26557254791259766,0.19436083734035492,0.022131552919745445,0.15585075318813324,0.43292519450187683,0.1639096587896347,0.19436083734035492
22,0.001,0.21910542911953396,0.14179434875647226,0.016369602125551965,0.16523817347155678,0.5044849514961243,0.2536436948511336,0.14179434875647226,0.2662939727306366,0.19275937974452972,0.025155413895845413,0.15944524109363556,0.4315638244152069,0.16297321021556854,0.19275937974452972
23,0.0005,0.3775199121899075,0.2587335771984524,0.04730055698504051,0.2791730182038413,0.45998597972922856,0.23086444040139517,0.2587335771984524,0.24067305028438568,0.1702818125486374,0.027465825900435448,0.1423315852880478,0.43073099851608276,0.16307000815868378,0.1702818125486374
24,0.0005,0.12755481650431952,0.09668536235888799,0.006956045328277267,0.05454847796095742,0.30247317420111763,0.09360233859883414,0.09668536235888799,0.21739451587200165,0.15576092898845673,0.02215108834207058,0.1178358793258667,0.4309665262699127,0.16340160369873047,0.15576092898845673
25,0.0005,0.2033023022943073,0.13513341546058655,0.014085318272312483,0.12979511668284735,0.5040803915924497,0.2711007396380107,0.13513341546058655,0.22780413925647736,0.16796176135540009,0.01980750262737274,0.11519914120435715,0.43173280358314514,0.1637372523546219,0.16796176135540009
26,0.0005,0.26767876081996494,0.19527330001195273,0.029956953910489876,0.14093264937400818,0.4134024911456638,0.19583487345112693,0.19527330001195273,0.22256356477737427,0.16064496338367462,0.0197360347956419,0.12349464744329453,0.43188977241516113,0.16440483927726746,0.16064496338367462
27,0.0005,0.29266027278370327,0.21245999303128985,0.037366345110866755,0.15680206815401712,0.4156636761294471,0.19693358656432894,0.21245999303128985,0.23951780796051025,0.1713121384382248,0.026933521032333374,0.13419118523597717,0.4317554533481598,0.16476942598819733,0.1713121384382248
28,0.0005,0.2840205712450875,0.1834611776802275,0.03268412335051431,0.22491087267796198,0.502896871831682,0.25805431852738064,0.1834611776802275,0.20573638379573822,0.1483912318944931,0.018318505957722664,0.10800518840551376,0.43159055709838867,0.16473759710788727,0.1483912318944931
29,0.0005,0.18021956914001042,0.1047939153181182,0.012183074632452594,0.14656837284564972,0.5704893204900954,0.31154681907759774,0.1047939153181182,0.17089061439037323,0.12431001663208008,0.01182954479008913,0.07795087993144989,0.43144071102142334,0.16469746828079224,0.12431001663208008
1 epoch lr train_loss train_relative_loss train_log_loss train_mae_loss train_waveform_l1 train_waveform_huber train_rms_error val_loss val_relative_loss val_log_loss val_mae_loss val_waveform_l1 val_waveform_huber val_rms_error
2 1 0.001 0.3693518406814999 0.24889015323585933 0.05584108498361376 0.25861359967125785 0.5032549103101095 0.25580188632011414 0.24889015323585933 0.4390127956867218 0.30896639823913574 0.056898053735494614 0.3188031315803528 0.44043534994125366 0.17367032170295715 0.30896639823913574
3 2 0.001 0.3945225642787086 0.2697031597296397 0.06360895559191704 0.27172964480188155 0.4614827699131436 0.224760792321629 0.2697031597296397 0.36929574608802795 0.2602313160896301 0.0452926866710186 0.2584935128688812 0.4390406906604767 0.17246951162815094 0.2602313160896301
4 3 0.001 0.5084060496754117 0.3563646740383572 0.09457878602875604 0.32678870028919643 0.4492427276240455 0.19155073165893555 0.3563646740383572 0.30823153257369995 0.2178763449192047 0.03594436123967171 0.20229224860668182 0.4395522177219391 0.1724669635295868 0.2178763449192047
5 4 0.001 0.46196970012452865 0.2874237828784519 0.10073509646786584 0.3864523735311296 0.4910557005140517 0.2566720247268677 0.2874237828784519 0.2588622272014618 0.1819354146718979 0.02867879904806614 0.16302458941936493 0.44016343355178833 0.1725275069475174 0.1819354146718979
6 5 0.001 0.4498247702916463 0.2731182641453213 0.0863925533162223 0.3938671946525574 0.6069219443533156 0.33671536213821834 0.2731182641453213 0.3132787346839905 0.22292804718017578 0.02889658883213997 0.2158222645521164 0.44235706329345703 0.17352235317230225 0.22292804718017578
7 6 0.001 0.42692894405788845 0.28966741760571796 0.05804820607105891 0.3025594221221076 0.5698766128884422 0.3100252277735207 0.28966741760571796 0.4311088025569916 0.3014686703681946 0.060949672013521194 0.30897605419158936 0.4416200518608093 0.17345383763313293 0.3014686703681946
8 7 0.001 0.36648913555675083 0.2673240436447991 0.04492858507566982 0.2210414773888058 0.40499014324612087 0.1858146521780226 0.2673240436447991 0.3253621459007263 0.2316536009311676 0.031499434262514114 0.22455067932605743 0.43930211663246155 0.17284171283245087 0.2316536009311676
9 8 0.001 0.3705151147312588 0.2639704677793715 0.056356401907073125 0.23181239929464129 0.40243885583347744 0.1668036257227262 0.2639704677793715 0.2693358361721039 0.19200395047664642 0.023184901103377342 0.17564474046230316 0.43946224451065063 0.17288772761821747 0.19200395047664642
10 9 0.001 0.3809369206428528 0.238957146803538 0.05438671095503701 0.32686107357343036 0.5658377408981323 0.32192010349697536 0.238957146803538 0.22007109224796295 0.15654480457305908 0.01698182336986065 0.1330064833164215 0.43889322876930237 0.17233915627002716 0.15654480457305908
11 10 0.001 0.3033063875304328 0.20820601118935478 0.03028729951216115 0.2125823481215371 0.4863186809751723 0.244431518846088 0.20820601118935478 0.2353043407201767 0.16689710319042206 0.020381871610879898 0.14587727189064026 0.43858274817466736 0.17178986966609955 0.16689710319042206
12 11 0.001 0.3418840931521522 0.21859833929273817 0.041131472835938133 0.3211692141162025 0.4186662236849467 0.1973548432191213 0.21859833929273817 0.2819516360759735 0.19871805608272552 0.029886296018958092 0.1862599402666092 0.43857088685035706 0.17136642336845398 0.19871805608272552
13 12 0.001 0.327799528837204 0.2257505324151781 0.038094287945164576 0.24139907293849522 0.4269571900367737 0.19686741133530936 0.2257505324151781 0.2265533208847046 0.15818463265895844 0.02364269271492958 0.13944414258003235 0.43839970231056213 0.17068645358085632 0.15818463265895844
14 13 0.001 0.5482124156422086 0.2889212518930435 0.05876548960804939 0.7335240874025557 0.7617671754625108 0.4734871983528137 0.2889212518930435 0.13387161493301392 0.09191606938838959 0.01390319224447012 0.05341717228293419 0.4380643963813782 0.1701544225215912 0.09191606938838959
15 14 0.001 0.2683628300825755 0.1934465699725681 0.03215170403321584 0.1588393354581462 0.3651085015800264 0.16354632439712682 0.1934465699725681 0.11752602458000183 0.08033295720815659 0.0075136758387088776 0.0473531074821949 0.43740665912628174 0.16951507329940796 0.08033295720815659
16 15 0.001 0.23245521552032894 0.15845761530929142 0.021862993792941172 0.1661414752403895 0.4185062315728929 0.17951083762778175 0.15845761530929142 0.13540877401828766 0.09327995032072067 0.009294009767472744 0.06379763782024384 0.4362388551235199 0.16890482604503632 0.09327995032072067
17 16 0.001 0.2540251049730513 0.16881393061743843 0.02455571148958471 0.1829415543211831 0.4814679291513231 0.2550777710146374 0.16881393061743843 0.24452388286590576 0.17012111842632294 0.027872953563928604 0.15593497455120087 0.43555423617362976 0.16831809282302856 0.17012111842632294
18 17 0.001 0.27790621254179215 0.16291005578305987 0.02768930456497603 0.27147142092386883 0.5733835763401456 0.3216428938839171 0.16291005578305987 0.23126113414764404 0.16358613967895508 0.019583800807595253 0.14588342607021332 0.4346035122871399 0.16748279333114624 0.16358613967895508
19 18 0.001 0.21714572608470917 0.16336159076955584 0.02207756083872583 0.11655174030197991 0.29744883709483677 0.09367910772562027 0.16336159076955584 0.21335509419441223 0.15434198081493378 0.013381856493651867 0.12396419048309326 0.43387162685394287 0.1662997454404831 0.15434198081493378
20 19 0.001 0.39585938718583846 0.23502571880817413 0.03807514740361108 0.43226980169614154 0.5700339277585348 0.33255258699258167 0.23502571880817413 0.29088473320007324 0.1979036182165146 0.050344835966825485 0.18606995046138763 0.4335789680480957 0.16567720472812653 0.1979036182165146
21 20 0.001 0.26503710283173454 0.18777255879508126 0.03789552880658044 0.15700330336888632 0.36711519294314915 0.16105001833703783 0.18777255879508126 0.3211463689804077 0.22426843643188477 0.04961967095732689 0.20329146087169647 0.4336654543876648 0.16470572352409363 0.22426843643188477
22 21 0.001 0.28275859852631885 0.18599259356657663 0.043205282702628106 0.20048580318689346 0.4617711802323659 0.22377558714813656 0.18599259356657663 0.26557254791259766 0.19436083734035492 0.022131552919745445 0.15585075318813324 0.43292519450187683 0.1639096587896347 0.19436083734035492
23 22 0.001 0.21910542911953396 0.14179434875647226 0.016369602125551965 0.16523817347155678 0.5044849514961243 0.2536436948511336 0.14179434875647226 0.2662939727306366 0.19275937974452972 0.025155413895845413 0.15944524109363556 0.4315638244152069 0.16297321021556854 0.19275937974452972
24 23 0.0005 0.3775199121899075 0.2587335771984524 0.04730055698504051 0.2791730182038413 0.45998597972922856 0.23086444040139517 0.2587335771984524 0.24067305028438568 0.1702818125486374 0.027465825900435448 0.1423315852880478 0.43073099851608276 0.16307000815868378 0.1702818125486374
25 24 0.0005 0.12755481650431952 0.09668536235888799 0.006956045328277267 0.05454847796095742 0.30247317420111763 0.09360233859883414 0.09668536235888799 0.21739451587200165 0.15576092898845673 0.02215108834207058 0.1178358793258667 0.4309665262699127 0.16340160369873047 0.15576092898845673
26 25 0.0005 0.2033023022943073 0.13513341546058655 0.014085318272312483 0.12979511668284735 0.5040803915924497 0.2711007396380107 0.13513341546058655 0.22780413925647736 0.16796176135540009 0.01980750262737274 0.11519914120435715 0.43173280358314514 0.1637372523546219 0.16796176135540009
27 26 0.0005 0.26767876081996494 0.19527330001195273 0.029956953910489876 0.14093264937400818 0.4134024911456638 0.19583487345112693 0.19527330001195273 0.22256356477737427 0.16064496338367462 0.0197360347956419 0.12349464744329453 0.43188977241516113 0.16440483927726746 0.16064496338367462
28 27 0.0005 0.29266027278370327 0.21245999303128985 0.037366345110866755 0.15680206815401712 0.4156636761294471 0.19693358656432894 0.21245999303128985 0.23951780796051025 0.1713121384382248 0.026933521032333374 0.13419118523597717 0.4317554533481598 0.16476942598819733 0.1713121384382248
29 28 0.0005 0.2840205712450875 0.1834611776802275 0.03268412335051431 0.22491087267796198 0.502896871831682 0.25805431852738064 0.1834611776802275 0.20573638379573822 0.1483912318944931 0.018318505957722664 0.10800518840551376 0.43159055709838867 0.16473759710788727 0.1483912318944931
30 29 0.0005 0.18021956914001042 0.1047939153181182 0.012183074632452594 0.14656837284564972 0.5704893204900954 0.31154681907759774 0.1047939153181182 0.17089061439037323 0.12431001663208008 0.01182954479008913 0.07795087993144989 0.43144071102142334 0.16469746828079224 0.12431001663208008