model

model/AttUnet/modelsave/BEST_checkpoint.pth.tar

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+size 185637441

model/AttUnet/modelsave/checkpoint.pth.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c27f6dce87525d5b6b26a2e3c360531e09ecdd602d97b36e545e1d08efdd012
+size 185636072

model/AttUnet/modelsave/model_trainValLog.txt

@@ -0,0 +1,62 @@
+Parameters: 46375258
+Epoch	Loss(Tr)	Loss(val)	Loss(Ts)	Loss(Tr)std	Loss(val)std	Loss(Ts)std	Loss(0_1)	Loss(0_2)	Loss(0_3)	Loss(0_1)std	Loss(0_2)std	Loss(0_3)std	SNR(Tr_i_t)	SNR(val_i_t)	SNR(Ts_i_t)	SNR(Tr_i_t)std	SNR(val_i_t)std	SNR(Ts_i_t)std	SNR(Tr_i_o)	SNR(val_i_o)	SNR(Ts_i_o)	SNR(Tr_i_o)std	SNR(val_i_o)std	SNR(Ts_i_o)std	Learning_rate	Time
+0	2.5245		1.6795		1.7206		1.2290		0.1241		0.1687		0.1434		0.1451		0.1416		0.0137		0.0140		0.0138		17.2269		17.2619		16.6594		1.2815		1.2237		1.2289		5.7072		7.7847		7.6351		2.3395		0.1791		0.2194		0.0100		302.1959
+1	1.3926		1.3098		1.4049		0.1560		0.0809		0.1780		0.1175		0.1164		0.1174		0.0146		0.0145		0.0147		17.3728		17.4846		16.5779		1.2435		0.9096		1.3782		8.0896		8.3043		8.0658		0.2791		0.1478		0.2436		0.0100		305.2228
+2	1.2164		1.2125		1.2448		0.1138		0.1195		0.1153		0.1042		0.1033		0.1037		0.0093		0.0095		0.0096		17.3789		17.5425		16.4872		1.3811		0.9238		1.1088		8.6583		8.9446		8.7627		0.2463		0.1507		0.2840		0.0100		305.0716
+3	1.1393		1.1042		1.1736		0.1432		0.0846		0.1252		0.0984		0.0975		0.0975		0.0102		0.0103		0.0103		17.3608		17.4326		17.0147		1.2454		1.0494		0.9164		9.1677		9.4861		9.4412		0.2515		0.2346		0.2429		0.0100		306.5037
+4	1.0494		1.1120		1.1540		0.0933		0.0859		0.1201		0.0955		0.0965		0.0964		0.0099		0.0099		0.0098		17.3788		17.3418		16.7519		1.2156		1.3003		1.2486		9.6021		9.2833		9.1833		0.2074		0.2171		0.2977		0.0100		307.4338
+5	0.9936		1.0344		1.0693		0.1006		0.1020		0.1040		0.0892		0.0888		0.0893		0.0087		0.0084		0.0086		17.4974		17.6024		16.6440		1.2979		0.9704		1.2996		9.9094		9.7535		9.7192		0.1927		0.2301		0.2342		0.0100		309.3954
+6	0.9471		0.9988		1.0583		0.0829		0.0978		0.1365		0.0887		0.0879		0.0879		0.0111		0.0111		0.0114		17.3592		17.4690		16.5936		1.2292		1.2960		1.1624		10.1410		10.0168		9.8998		0.2117		0.2016		0.2563		0.0100		307.9200
+7	0.9221		0.9954		1.0352		0.0946		0.1406		0.1525		0.0869		0.0857		0.0862		0.0126		0.0123		0.0126		17.3813		17.4090		16.6572		1.2263		1.1505		0.9795		10.3206		10.2408		10.1879		0.2379		0.2141		0.1851		0.0100		307.3075
+8	0.8989		0.9362		1.0108		0.0995		0.1047		0.1332		0.0851		0.0837		0.0839		0.0111		0.0110		0.0106		17.4528		17.5043		16.7097		1.2988		1.2582		1.2265		10.5074		10.5067		10.4512		0.2283		0.1945		0.2255		0.0100		307.1283
+9	0.8674		0.9199		0.9809		0.0995		0.1014		0.1024		0.0826		0.0809		0.0818		0.0085		0.0083		0.0085		17.4746		17.6291		16.6781		1.2763		0.8089		1.2604		10.6394		10.6706		10.5971		0.2237		0.1650		0.2084		0.0100		306.2995
+10	0.8259		0.8993		0.9353		0.0847		0.0941		0.1203		0.0787		0.0773		0.0778		0.0096		0.0098		0.0101		17.4011		17.5429		16.8262		1.2358		1.1311		1.2068		10.8435		10.8240		10.7662		0.1970		0.2571		0.2930		0.0100		307.4636
+11	0.8129		0.9093		0.9272		0.0817		0.0956		0.1254		0.0781		0.0768		0.0770		0.0103		0.0104		0.0102		17.4511		17.4202		16.9042		1.2338		0.8817		1.1453		10.9468		10.6215		10.6383		0.2163		0.2611		0.2497		0.0100		305.5525
+12	0.8148		0.8953		0.9321		0.0997		0.0850		0.1208		0.0778		0.0775		0.0776		0.0100		0.0102		0.0095		17.4226		17.1876		16.4244		1.2527		1.3406		1.0259		11.0054		11.2017		11.0876		0.2602		0.2900		0.3038		0.0100		307.0869
+13	0.7705		0.8890		0.9155		0.0863		0.1020		0.0965		0.0767		0.0767		0.0755		0.0079		0.0078		0.0081		17.3373		17.4792		16.8683		1.2681		1.3352		0.9015		11.1928		10.8814		10.9558		0.2309		0.3190		0.2820		0.0100		309.1197
+14	0.7624		0.8419		0.9252		0.0841		0.0952		0.1930		0.0772		0.0773		0.0769		0.0145		0.0171		0.0159		17.4091		17.5496		16.4497		1.3123		1.1135		1.1200		11.2950		11.2744		11.2128		0.2178		0.2755		0.2676		0.0100		308.5607
+15	0.7440		0.8501		0.8765		0.0771		0.0805		0.1052		0.0726		0.0735		0.0731		0.0082		0.0094		0.0085		17.4136		17.4947		16.9141		1.2541		0.8302		1.1761		11.4221		11.1107		11.1939		0.2206		0.2717		0.2757		0.0100		307.9581
+16	0.7418		0.8444		0.8717		0.0803		0.0816		0.0923		0.0730		0.0726		0.0723		0.0075		0.0074		0.0078		17.4619		17.5113		16.9680		1.2666		0.8248		0.9943		11.4818		11.0204		11.0253		0.2459		0.2732		0.2572		0.0100		308.0910
+17	0.7250		0.9077		0.9407		0.1001		0.0758		0.1006		0.0798		0.0777		0.0778		0.0085		0.0082		0.0081		17.3563		17.3221		16.5489		1.3420		0.9574		0.9902		11.5537		11.6899		11.6310		0.2430		0.2532		0.2946		0.0100		306.4802
+18	0.7212		0.8363		0.8727		0.0874		0.1549		0.1903		0.0719		0.0728		0.0735		0.0135		0.0165		0.0169		17.3943		17.4804		16.7611		1.4486		1.1779		1.0892		11.6200		11.2115		11.2413		0.2367		0.2820		0.3063		0.0100		305.3978
+19	0.7001		0.8607		0.8562		0.0790		0.0995		0.1073		0.0712		0.0718		0.0710		0.0087		0.0088		0.0090		17.2834		17.3745		16.5501		1.2947		1.2191		1.6337		11.6929		11.0847		11.1579		0.2317		0.2948		0.3209		0.0100		306.0532
+20	0.7025		0.8201		0.8474		0.0834		0.0826		0.1223		0.0707		0.0705		0.0706		0.0098		0.0101		0.0102		17.3259		17.5179		16.9892		1.2992		0.9965		1.1208		11.7335		11.8159		11.8411		0.2279		0.2714		0.2504		0.0100		308.4177
+21	0.6896		0.8139		0.8276		0.0765		0.0772		0.1046		0.0689		0.0691		0.0689		0.0088		0.0087		0.0083		17.5349		17.4980		16.3683		1.2386		0.9268		1.2913		11.8262		11.5176		11.5849		0.2375		0.4241		0.3143		0.0100		308.4710
+22	0.6778		0.8377		0.8429		0.0713		0.0968		0.1051		0.0705		0.0699		0.0703		0.0089		0.0085		0.0085		17.4057		17.5080		16.4528		1.2798		1.0264		1.1211		11.8703		11.1332		11.0501		0.2367		0.2813		0.3426		0.0100		306.4373
+23	0.6718		0.7985		0.7898		0.0722		0.0847		0.1178		0.0661		0.0659		0.0654		0.0103		0.0097		0.0091		17.3681		17.6693		16.7880		1.2410		1.1958		1.2775		11.9001		11.4847		11.4129		0.2269		0.3667		0.4953		0.0100		308.0289
+24	0.6632		0.7513		0.7868		0.0712		0.0715		0.1285		0.0659		0.0655		0.0652		0.0108		0.0106		0.0103		17.4460		17.5065		16.8169		1.3946		0.9447		1.0228		11.9620		11.8386		11.8605		0.2441		0.2468		0.2705		0.0100		307.9809
+25	0.6609		0.7698		0.7939		0.0744		0.0935		0.1185		0.0659		0.0661		0.0665		0.0097		0.0097		0.0102		17.4470		17.5220		16.7536		1.3227		0.9497		0.9074		12.0066		11.8927		11.8775		0.2456		0.3044		0.2446		0.0100		308.2447
+26	0.6441		1.7462		1.6037		0.0745		0.2491		0.1767		0.1300		0.1394		0.1316		0.0141		0.0147		0.0148		17.4116		17.3621		16.3109		1.2787		0.9806		1.2745		12.1282		9.1389		9.1555		0.2340		0.2539		0.2773		0.0100		308.6794
+27	0.6916		0.7963		0.8263		0.1104		0.1019		0.0964		0.0684		0.0685		0.0697		0.0076		0.0078		0.0085		17.3780		17.2732		16.3729		1.2289		1.1475		0.9912		11.9672		11.7880		11.8047		0.3183		0.3353		0.3023		0.0100		309.9626
+28	0.6476		0.7974		0.8086		0.0784		0.1046		0.1285		0.0675		0.0671		0.0675		0.0106		0.0106		0.0105		17.3425		17.0238		16.5286		1.2850		1.3186		1.1658		12.1716		11.8904		11.9764		0.2601		0.2555		0.3304		0.0100		309.1556
+29	0.6442		0.7565		0.7711		0.0736		0.1156		0.1034		0.0650		0.0637		0.0641		0.0088		0.0084		0.0084		17.3205		17.1832		16.5159		1.1882		1.1664		1.2718		12.1904		11.7597		11.8721		0.2309		0.2863		0.3299		0.0100		307.2230
+30	0.6241		0.7336		0.8007		0.0733		0.0923		0.1648		0.0675		0.0661		0.0665		0.0138		0.0134		0.0134		17.3432		17.5945		16.5728		1.3477		1.0472		1.4894		12.3258		12.2071		12.2747		0.2231		0.2742		0.2821		0.0100		307.6567
+31	0.6235		0.7358		0.7492		0.0843		0.0926		0.1018		0.0629		0.0623		0.0621		0.0087		0.0083		0.0082		17.4687		17.4164		16.4533		1.3419		1.0054		1.0636		12.4028		12.6705		12.5110		0.2678		0.2507		0.4493		0.0100		306.6170
+32	0.6245		0.7105		0.7536		0.0753		0.0859		0.0908		0.0632		0.0625		0.0627		0.0073		0.0074		0.0076		17.3679		17.6648		16.5283		1.2325		1.4272		0.8762		12.4624		12.5884		12.4379		0.2653		0.3176		0.2667		0.0100		306.5764
+33	0.6113		0.7569		0.7685		0.0665		0.0776		0.1109		0.0645		0.0639		0.0637		0.0108		0.0088		0.0080		17.4376		17.6533		16.2652		1.3668		1.1478		1.7027		12.5624		12.0830		12.0566		0.2439		0.3468		0.3947		0.0100		304.9831
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+36	0.5991		0.7208		0.7709		0.0673		0.1135		0.1162		0.0649		0.0638		0.0640		0.0096		0.0096		0.0095		17.2741		17.6779		16.6894		1.2363		1.3908		1.2428		12.7638		12.6989		12.5559		0.2385		0.4306		0.4509		0.0100		309.3209
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+44	0.5745		0.7514		0.7626		0.0680		0.0675		0.0777		0.0632		0.0631		0.0644		0.0066		0.0065		0.0064		17.4286		17.1027		16.9005		1.1933		1.2407		1.0894		13.1527		12.4395		12.3577		0.2410		0.2703		0.3450		0.0100		307.6324
+45	0.5702		0.7641		0.7397		0.0657		0.0998		0.0877		0.0622		0.0614		0.0613		0.0075		0.0072		0.0071		17.4234		17.1786		16.3046		1.2398		1.0866		1.2442		13.2158		12.5169		12.4974		0.2846		0.3626		0.3581		0.0100		306.6160
+46	0.5567		0.7126		0.7264		0.0575		0.0885		0.0708		0.0617		0.0599		0.0601		0.0057		0.0058		0.0062		17.4524		17.4220		16.9460		1.2465		1.2882		1.2438		13.3087		12.9994		13.0100		0.2697		0.3078		0.3415		0.0100		307.4338
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model/EEGART/modelsave/checkpoint.pth.tar

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model/EEGART/modelsave/model_trainValLog.txt

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+Epoch	Loss(Tr)	Loss(val)	Loss(Ts)	Learning_rate	Time
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+59	0.029733		0.016862		0.013187		0.0003		449.92

model/Hybrid/DuoCL/DuoCL_Hybrid_200_0_0.05_0.05/best_DuoCL.pth

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model/Hybrid/DuoCL/DuoCL_Hybrid_200_0_0.05_0.05/result.txt

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model/Hybrid/GCTNet/GCTNet_Hybrid_200_0_0.05_0.05/best_GCTNet.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3795d7635912e70307f1f96fd6802f6890ae2d38241e3223295785f6c2d880a5
+size 117744445

model/Hybrid/GCTNet/GCTNet_Hybrid_200_0_0.05_0.05/result.txt

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+Save best result 
+epoch:   0, test_rrmse: 0.5784, acc: 0.8305, snr: 5.0118
+Save best result 
+epoch:   1, test_rrmse: 0.5145, acc: 0.8571, snr: 5.9470
+Save best result 
+epoch:   2, test_rrmse: 0.4773, acc: 0.8748, snr: 6.6446
+Save best result 
+epoch:   3, test_rrmse: 0.4516, acc: 0.8865, snr: 7.1691
+Save best result 
+epoch:   4, test_rrmse: 0.4408, acc: 0.8899, snr: 7.4382
+Save best result 
+epoch:   5, test_rrmse: 0.4227, acc: 0.8982, snr: 7.8483
+Save best result 
+epoch:   6, test_rrmse: 0.4120, acc: 0.9030, snr: 8.1066
+Save best result 
+epoch:   7, test_rrmse: 0.3999, acc: 0.9077, snr: 8.4152
+Save best result 
+epoch:   8, test_rrmse: 0.3876, acc: 0.9119, snr: 8.7549
+epoch:   9, test_rrmse: 0.3936, acc: 0.9089, snr: 8.6300
+Save best result 
+epoch:  10, test_rrmse: 0.3713, acc: 0.9176, snr: 9.2112
+epoch:  11, test_rrmse: 0.3765, acc: 0.9180, snr: 9.0615
+Save best result 
+epoch:  12, test_rrmse: 0.3672, acc: 0.9174, snr: 9.4023
+Save best result 
+epoch:  13, test_rrmse: 0.3546, acc: 0.9217, snr: 9.7697
+Save best result 
+epoch:  14, test_rrmse: 0.3525, acc: 0.9227, snr: 9.8479
+Save best result 
+epoch:  15, test_rrmse: 0.3446, acc: 0.9243, snr: 10.1183
+Save best result 
+epoch:  16, test_rrmse: 0.3419, acc: 0.9250, snr: 10.2245
+Save best result 
+epoch:  17, test_rrmse: 0.3396, acc: 0.9258, snr: 10.3044
+Save best result 
+epoch:  18, test_rrmse: 0.3361, acc: 0.9272, snr: 10.4731
+Save best result 
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