Skip to content

Commit

Permalink
add results
Browse files Browse the repository at this point in the history
  • Loading branch information
josephbowles committed Mar 7, 2024
1 parent f9672a7 commit d12d90d
Show file tree
Hide file tree
Showing 15 changed files with 352 additions and 0 deletions.
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
,train_acc,test_acc
0,0.8458333333333333,0.75
1,0.8375,0.75
2,0.8416666666666667,0.7166666666666667
3,0.8458333333333333,0.75
4,0.8416666666666667,0.75
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
hyperparameter,best_value
batch_size,32
learning_rate,0.1
max_vmap,32
temperature,100.0
visible_qubits,all
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
,mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_batch_size,param_learning_rate,param_max_vmap,param_temperature,param_visible_qubits,params,split0_test_accuracy,split1_test_accuracy,split2_test_accuracy,split3_test_accuracy,split4_test_accuracy,mean_test_accuracy,std_test_accuracy,rank_test_accuracy,split0_test_roc_auc,split1_test_roc_auc,split2_test_roc_auc,split3_test_roc_auc,split4_test_roc_auc,mean_test_roc_auc,std_test_roc_auc,rank_test_roc_auc
0,2021.5124290943145,437.2771330185176,3.20060625076294,0.3932532536777068,32,0.1,32,10.0,all,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'all'}",0.875,0.9166666666666666,0.7708333333333334,0.7916666666666666,0.8541666666666666,0.8416666666666666,0.053683744694688,2.0,0.942608695652174,0.9443478260869566,0.8559027777777778,0.8298611111111112,0.9305555555555556,0.9006551932367151,0.0481201723823261,1.0
1,3506.958567428589,20.40372760706593,2.979226541519165,0.3535433491061268,32,0.001,32,1.0,single,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'single'}",0.8541666666666666,0.8333333333333334,0.875,0.8125,0.7916666666666666,0.8333333333333334,0.0294627825494394,3.0,0.8991304347826088,0.9408695652173912,0.9166666666666669,0.8836805555555556,0.8402777777777778,0.896125,0.033784153834718,2.0
2,1794.9576813697815,139.5593784308537,2.981479358673096,0.332213213820449,32,0.1,32,10.0,half,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'half'}",0.8541666666666666,0.8541666666666666,0.7708333333333334,0.75,0.8958333333333334,0.825,0.0552770798392566,5.0,0.9060869565217392,0.9234782608695652,0.8993055555555556,0.8333333333333333,0.9149305555555556,0.8954269323671497,0.0320984835218494,3.0
3,1876.800131225586,315.39315260309394,2.9994171619415284,0.3335257342367567,32,0.1,32,10.0,single,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'single'}",0.8125,0.7916666666666666,0.7916666666666666,0.7916666666666666,0.875,0.8125,0.0322748612183951,7.0,0.88,0.9060869565217392,0.904513888888889,0.8489583333333334,0.9149305555555556,0.8908979468599034,0.0239639838135553,4.0
4,1919.0182648658752,132.97055121330652,2.988118982315064,0.3307783907523745,32,0.01,32,10.0,single,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'single'}",0.8541666666666666,0.7916666666666666,0.7708333333333334,0.7291666666666666,0.8125,0.7916666666666666,0.0416666666666666,13.0,0.8800000000000001,0.937391304347826,0.8958333333333333,0.8125,0.9131944444444444,0.8877838164251208,0.042189189161359,5.0
5,2119.201038455963,415.58528094426566,3.0937068939208983,0.3527203411924811,32,0.1,32,100.0,all,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'all'}",0.8541666666666666,0.9166666666666666,0.8333333333333334,0.7916666666666666,0.8333333333333334,0.8458333333333332,0.0408248290463862,1.0,0.9234782608695652,0.9582608695652174,0.8368055555555556,0.8315972222222223,0.8836805555555556,0.8867644927536231,0.0490070739362053,6.0
6,1844.802398824692,131.88787593809886,3.1829755306243896,0.3648263743436518,32,0.1,32,100.0,single,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'single'}",0.8541666666666666,0.8333333333333334,0.75,0.7708333333333334,0.8958333333333334,0.8208333333333334,0.053683744694688,6.0,0.8660869565217392,0.9408695652173912,0.876736111111111,0.8107638888888888,0.921875,0.8832663043478262,0.0456139029366885,7.0
7,1893.0493720054624,104.2088257816322,3.033857774734497,0.3234836128949471,32,0.1,32,100.0,half,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'half'}",0.8333333333333334,0.8333333333333334,0.6875,0.7708333333333334,0.8541666666666666,0.7958333333333334,0.0609530784930324,12.0,0.8626086956521738,0.9391304347826086,0.8663194444444444,0.8125,0.9131944444444444,0.8787506038647344,0.043900659615247,8.0
8,2362.840821790696,470.7256189696399,3.0985880374908445,0.4135421360338814,32,0.01,32,10.0,half,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'half'}",0.8541666666666666,0.8333333333333334,0.75,0.7708333333333334,0.8333333333333334,0.8083333333333333,0.040397332145136,9.0,0.88,0.8956521739130435,0.8819444444444445,0.8194444444444444,0.90625,0.8766582125603865,0.0301627966362068,9.0
9,1974.340637588501,292.76429132975346,2.986881446838379,0.3324726596209519,32,0.01,32,1.0,single,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'single'}",0.8333333333333334,0.8125,0.875,0.75,0.7916666666666666,0.8125,0.0416666666666666,7.0,0.8921739130434783,0.8452173913043478,0.9409722222222222,0.8211805555555556,0.8819444444444444,0.8762977053140097,0.0411597349078492,10.0
10,1848.242289209366,293.01704885977574,2.928478240966797,0.3441249285996255,32,0.01,32,1.0,half,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'half'}",0.7708333333333334,0.8125,0.7708333333333334,0.7083333333333334,0.8125,0.7750000000000001,0.0381881307912986,15.0,0.9095652173913042,0.8765217391304347,0.8940972222222222,0.8003472222222222,0.8940972222222223,0.874925724637681,0.0387285098662216,11.0
11,2316.2358722686768,671.1500616043853,2.974703073501587,0.3462368354190382,32,0.01,32,10.0,all,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'all'}",0.8541666666666666,0.875,0.8125,0.7916666666666666,0.8333333333333334,0.8333333333333333,0.0294627825494394,4.0,0.8678260869565217,0.8956521739130434,0.8854166666666666,0.810763888888889,0.8958333333333333,0.8710984299516907,0.0318454981571395,12.0
12,1396.0584399700165,133.8217963174444,3.009238290786743,0.3269128064543116,32,0.1,32,1.0,all,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'all'}",0.8958333333333334,0.7708333333333334,0.7916666666666666,0.7708333333333334,0.8125,0.8083333333333333,0.0463980363569168,9.0,0.9321739130434782,0.8260869565217391,0.8489583333333334,0.8246527777777778,0.859375,0.8582493961352657,0.0392825160067803,13.0
13,3849.311648225784,544.2076487216716,3.249370241165161,0.2769537790836884,32,0.001,32,10.0,single,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'single'}",0.875,0.75,0.7708333333333334,0.7291666666666666,0.75,0.775,0.0517069735249619,16.0,0.8556521739130434,0.8417391304347825,0.8940972222222222,0.8020833333333333,0.8680555555555556,0.8523254830917872,0.0304621887475149,14.0
14,1830.3563187599184,342.25989501141,2.996540832519531,0.3211324698525647,32,0.01,32,1.0,all,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'all'}",0.7708333333333334,0.8333333333333334,0.75,0.75,0.8333333333333334,0.7875000000000001,0.0381881307912986,14.0,0.8191304347826087,0.8608695652173911,0.8993055555555556,0.7621527777777778,0.8784722222222222,0.843986111111111,0.0486807619208254,15.0
15,3753.9417703151694,220.7552543725137,2.982462882995605,0.2972587668634399,32,0.01,32,100.0,single,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'single'}",0.8333333333333334,0.7291666666666666,0.7708333333333334,0.75,0.7291666666666666,0.7625,0.0386400770645654,17.0,0.8486956521739131,0.888695652173913,0.8611111111111112,0.8003472222222222,0.8090277777777778,0.8415754830917874,0.0328991505049357,16.0
16,1552.4040885925292,131.21154028762788,3.022623300552368,0.2900411433287295,32,0.1,32,1.0,half,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'half'}",0.8541666666666666,0.8125,0.8333333333333334,0.6875,0.8333333333333334,0.8041666666666666,0.0598029170600305,11.0,0.8921739130434783,0.8052173913043477,0.8107638888888888,0.782986111111111,0.909722222222222,0.8401727053140096,0.0507903926447839,17.0
17,3837.9632694244383,431.9773978183479,3.3140790939331053,0.3808100155338982,32,0.01,32,100.0,half,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'half'}",0.8125,0.75,0.7291666666666666,0.7708333333333334,0.7291666666666666,0.7583333333333333,0.0311804782231161,18.0,0.8556521739130434,0.88,0.8559027777777778,0.8020833333333333,0.7951388888888888,0.8377554347826088,0.0332351964802752,18.0
18,7133.4074760913845,305.422929746147,3.149582958221436,0.3144913418459614,32,0.001,32,100.0,single,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'single'}",0.75,0.7083333333333334,0.7916666666666666,0.75,0.7291666666666666,0.7458333333333333,0.0276385399196283,21.0,0.8434782608695652,0.8295652173913043,0.8940972222222222,0.810763888888889,0.8003472222222222,0.8356503623188406,0.0328024044165552,19.0
19,3833.73247051239,371.8724901828869,2.973807668685913,0.3015992006526385,32,0.001,32,1.0,half,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'half'}",0.7083333333333334,0.7291666666666666,0.75,0.7708333333333334,0.8125,0.7541666666666667,0.0358430219460109,19.0,0.8139130434782609,0.8417391304347825,0.842013888888889,0.8211805555555556,0.8385416666666667,0.8314776570048309,0.011668386335438,20.0
20,2329.4347821235656,289.2140894730644,3.0082890510559084,0.3268440624111577,32,0.01,32,100.0,all,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'all'}",0.8125,0.7291666666666666,0.7708333333333334,0.7291666666666666,0.7083333333333334,0.75,0.0372677996249965,20.0,0.8469565217391304,0.8469565217391305,0.875,0.8003472222222222,0.7274305555555556,0.8193381642512078,0.0518294351018575,21.0
21,6631.73720240593,261.0782384809956,3.055308485031128,0.1884796303667775,32,0.001,32,100.0,all,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'all'}",0.7916666666666666,0.7291666666666666,0.7291666666666666,0.6875,0.6875,0.725,0.0381881307912986,25.0,0.8452173913043478,0.831304347826087,0.857638888888889,0.78125,0.7673611111111112,0.8165543478260868,0.0357587572202913,22.0
22,3838.281418848038,519.32017541331,3.341852331161499,0.3848065398426128,32,0.001,32,10.0,half,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'half'}",0.75,0.7083333333333334,0.75,0.6875,0.7291666666666666,0.725,0.0242956328951887,25.0,0.8486956521739131,0.7895652173913044,0.8229166666666667,0.7864583333333334,0.8298611111111112,0.8154993961352657,0.0239967961609726,23.0
23,6881.1398725032805,177.3750289618852,3.007396030426025,0.3442040336871462,32,0.001,32,100.0,half,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'half'}",0.75,0.7291666666666666,0.75,0.7291666666666666,0.7083333333333334,0.7333333333333333,0.015590239111558,23.0,0.8226086956521739,0.8260869565217391,0.8472222222222222,0.7934027777777778,0.7795138888888888,0.8137669082125605,0.0242371036722853,24.0
24,3695.502571058273,151.9607970601893,2.9128236770629883,0.3624083099832967,32,0.001,32,1.0,all,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'all'}",0.7708333333333334,0.7708333333333334,0.6666666666666666,0.7083333333333334,0.7083333333333334,0.7250000000000001,0.0403973321451361,24.0,0.8330434782608696,0.8313043478260869,0.8003472222222222,0.7604166666666666,0.826388888888889,0.8103001207729468,0.0275851608896748,25.0
25,3432.5707235813143,388.716288259784,3.036427974700928,0.3864355555586672,32,0.001,32,10.0,all,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'all'}",0.8125,0.7083333333333334,0.7708333333333334,0.7083333333333334,0.7291666666666666,0.7458333333333333,0.040397332145136,21.0,0.8521739130434782,0.7739130434782608,0.8368055555555555,0.7395833333333334,0.7690972222222222,0.7943146135265701,0.0428971621702907,26.0
26,1555.9495470523834,185.22038903001695,2.2814730644226078,1.1673423783951071,32,0.1,32,1.0,single,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'single'}",0.7916666666666666,0.75,0.8333333333333334,,0.8333333333333334,,,,0.8817391304347827,0.8347826086956521,0.8993055555555556,,0.8680555555555556,,,
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
,train_acc,test_acc
0,1.0,1.0
1,1.0,1.0
2,1.0,1.0
3,0.9958333333333333,1.0
4,1.0,1.0
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
hyperparameter,best_value
batch_size,32
learning_rate,0.01
max_vmap,32
temperature,10.0
visible_qubits,all
Original file line number Diff line number Diff line change
@@ -0,0 +1,18 @@
,mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_batch_size,param_learning_rate,param_max_vmap,param_temperature,param_visible_qubits,params,split0_test_accuracy,split1_test_accuracy,split2_test_accuracy,split3_test_accuracy,split4_test_accuracy,mean_test_accuracy,std_test_accuracy,rank_test_accuracy,split0_test_roc_auc,split1_test_roc_auc,split2_test_roc_auc,split3_test_roc_auc,split4_test_roc_auc,mean_test_roc_auc,std_test_roc_auc,rank_test_roc_auc
0,10750.089921569825,667.4500732699431,3.155528688430786,0.3059470841932273,32,0.01,32,10.0,all,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'all'}",1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0
1,6355.659336185456,522.553088719765,3.3491283893585204,0.3136489940006836,32,0.001,32,10.0,all,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'all'}",1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0
2,8516.593464899062,740.6132019018825,3.0704082012176515,0.3007448409887119,32,0.1,32,100.0,all,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'all'}",1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0
3,12516.852650499344,793.0782522380408,2.910604906082153,0.3990076854020138,32,0.001,32,100.0,all,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'all'}",1.0,0.9791666666666666,1.0,0.9791666666666666,1.0,0.9916666666666666,0.0102062072615965,4.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0
4,6691.493020868302,505.6477477179593,3.230572319030762,0.2896453216026675,32,0.01,32,10.0,half,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'half'}",1.0,0.9791666666666666,0.9791666666666666,0.9791666666666666,0.9791666666666666,0.9833333333333332,0.0083333333333333,6.0,1.0,0.9982517482517484,1.0,1.0,1.0,0.9996503496503496,0.0006993006993006,5.0
5,12390.774169635772,99.61542643561498,2.9289389133453367,0.3616562318865982,32,0.001,32,1.0,single,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'single'}",1.0,0.9791666666666666,0.9791666666666666,0.9583333333333334,1.0,0.9833333333333332,0.015590239111558,6.0,1.0,0.9982517482517484,1.0,1.0,1.0,0.9996503496503496,0.0006993006993006,5.0
6,6624.590853309632,1772.800386639877,2.889201402664185,0.2272627545433521,32,0.01,32,10.0,single,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'single'}",1.0,1.0,0.9791666666666666,0.9375,0.9791666666666666,0.9791666666666666,0.0228217732293819,8.0,1.0,1.0,1.0,0.9965034965034965,1.0,0.9993006993006992,0.0013986013986014,7.0
7,5687.022312641144,1035.5771569775206,3.079684209823609,0.1647169174489794,32,0.01,32,100.0,all,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'all'}",1.0,1.0,0.9791666666666666,1.0,0.9791666666666666,0.9916666666666666,0.0102062072615965,4.0,1.0,1.0,0.9895104895104896,1.0,1.0,0.997902097902098,0.0041958041958041,8.0
8,9415.354523468017,1179.3556075301117,2.905070304870605,0.3180825909533806,32,0.01,32,100.0,half,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'half'}",0.9375,0.9791666666666666,0.9166666666666666,0.9375,0.9583333333333334,0.9458333333333332,0.0212459146399699,10.0,0.9965034965034965,1.0,0.9965034965034966,1.0,0.991304347826087,0.996862268166616,0.0031886873424857,9.0
9,8457.636101484299,544.631199099597,3.260860967636108,0.3767498631020045,32,0.01,32,100.0,single,"{'batch_size': 32, 'learning_rate': 0.01, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'single'}",0.9583333333333334,0.9583333333333334,0.9166666666666666,0.9375,0.9375,0.9416666666666668,0.0155902391115581,11.0,1.0,1.0,0.986013986013986,0.9965034965034966,0.9843478260869566,0.9933730617208878,0.0068299797561396,10.0
10,9222.987688302994,858.9992970666341,3.1318843364715576,0.2818617312822178,32,0.001,32,10.0,half,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'half'}",0.9791666666666666,0.9791666666666666,0.9791666666666666,0.9375,0.9375,0.9625,0.0204124145231931,9.0,1.0,0.9965034965034965,0.9947552447552448,0.9912587412587412,0.9808695652173912,0.9926774095469748,0.0065423922064951,11.0
11,9378.439252758026,53.48667770998168,2.975919342041016,0.3318976044950059,32,0.001,32,10.0,single,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 10.0, 'visible_qubits': 'single'}",0.9375,0.9791666666666666,0.9166666666666666,0.9375,0.875,0.9291666666666666,0.0338501600193164,13.0,0.993006993006993,0.9947552447552448,0.9825174825174824,0.993006993006993,0.9739130434782608,0.9874399513529948,0.0080337458162905,12.0
12,7123.257879066468,2217.261873826707,2.899688243865967,0.3243254950262189,32,0.001,32,1.0,half,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'half'}",0.8333333333333334,0.8125,0.9791666666666666,0.9791666666666666,0.9375,0.9083333333333332,0.0716860438920218,16.0,0.9912587412587412,0.9143356643356644,0.9982517482517484,1.0,0.986086956521739,0.9779866220735786,0.0322132678675714,13.0
13,4370.797283220291,84.98075057823341,3.140964460372925,0.3555654412017704,32,0.001,32,1.0,all,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 1.0, 'visible_qubits': 'all'}",1.0,0.875,0.9583333333333334,0.8958333333333334,0.9375,0.9333333333333332,0.0444878260501304,12.0,1.0,0.965034965034965,0.9947552447552448,0.937062937062937,0.9739130434782608,0.9741532380662816,0.0225893284853837,14.0
14,11198.794915246965,680.0482384915288,2.958020830154419,0.3349937340707783,32,0.001,32,100.0,half,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'half'}",0.9583333333333334,0.9791666666666666,0.9166666666666666,0.8958333333333334,0.875,0.925,0.0386400770645654,14.0,1.0,0.9947552447552448,0.9965034965034965,0.9283216783216782,0.9443478260869564,0.9727856491334752,0.0302376414050946,15.0
15,10682.320119524002,995.369155412946,3.4772997379302977,0.2886367248630508,32,0.001,32,100.0,single,"{'batch_size': 32, 'learning_rate': 0.001, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'single'}",0.9166666666666666,0.9791666666666666,0.8958333333333334,0.8958333333333334,0.8541666666666666,0.9083333333333334,0.0408248290463863,15.0,0.9702797202797202,1.0,0.9615384615384616,0.8968531468531469,0.9043478260869564,0.946603830951657,0.0397377460625878,16.0
16,6417.83955411911,507.8255726794828,2.5893883228302004,1.3538716841350675,32,0.1,32,100.0,half,"{'batch_size': 32, 'learning_rate': 0.1, 'max_vmap': 32, 'temperature': 100.0, 'visible_qubits': 'half'}",1.0,1.0,1.0,1.0,,,,,1.0,1.0,1.0,1.0,,,,
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
,train_acc,test_acc
0,0.992,0.952
1,1.0,0.964
2,1.0,0.96
3,1.0,0.956
4,0.996,0.952
Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
hyperparameter,best_value
C,100.0
gamma_factor,10.0
max_vmap,1
t,0.01
trotter_steps,1
Loading

0 comments on commit d12d90d

Please sign in to comment.