整理 Q1-Q3 实验代码与结果

This commit is contained in:
2026-09-24 16:25:15 +08:00
parent 0261ecdfba
commit 8f5c2c3be6
247 changed files with 69828 additions and 19 deletions
@@ -0,0 +1,10 @@
epoch,train_loss,valid_clean_loss
1.0,1.05146148469713,0.9808105859127674
2.0,0.8792424190927435,0.8854341854105939
3.0,0.7658277087741427,0.8630200951963991
4.0,0.7162007325225406,0.8734401222113725
5.0,0.666606965440291,0.8838760400866414
6.0,0.6495787705536242,0.9118019499621548
7.0,0.5989178496378439,0.9559067448416909
8.0,0.5539200300419772,0.9710462656649914
9.0,0.5062780554095904,1.0261535592131563
1 epoch train_loss valid_clean_loss
2 1.0 1.05146148469713 0.9808105859127674
3 2.0 0.8792424190927435 0.8854341854105939
4 3.0 0.7658277087741427 0.8630200951963991
5 4.0 0.7162007325225406 0.8734401222113725
6 5.0 0.666606965440291 0.8838760400866414
7 6.0 0.6495787705536242 0.9118019499621548
8 7.0 0.5989178496378439 0.9559067448416909
9 8.0 0.5539200300419772 0.9710462656649914
10 9.0 0.5062780554095904 1.0261535592131563
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0488198929362826,0.9925541471649002
2.0,0.877586845446516,0.9104853272438049
3.0,0.7854031710712998,0.8691042694416675
4.0,0.7275559962899597,0.8561014971890293
5.0,0.6785599307881461,0.8777891502275572
6.0,0.6318395165381608,0.9196370329175677
7.0,0.5972505140083807,0.9164495874237228
8.0,0.5567877353341492,0.9559657193802216
9.0,0.5066572507774388,1.0156079124618362
10.0,0.47001609758094504,1.059160087134812
1 epoch train_loss valid_clean_loss
2 1.0 1.0488198929362826 0.9925541471649002
3 2.0 0.877586845446516 0.9104853272438049
4 3.0 0.7854031710712998 0.8691042694416675
5 4.0 0.7275559962899597 0.8561014971890293
6 5.0 0.6785599307881461 0.8777891502275572
7 6.0 0.6318395165381608 0.9196370329175677
8 7.0 0.5972505140083807 0.9164495874237228
9 8.0 0.5567877353341492 0.9559657193802216
10 9.0 0.5066572507774388 1.0156079124618362
11 10.0 0.47001609758094504 1.059160087134812
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0536950241636347,0.9706045127176977
2.0,0.8524193581607606,0.8777912927197886
3.0,0.760877827251399,0.8636277507949661
4.0,0.7150518761740791,0.8624753559028709
5.0,0.6774439651657034,0.877832626248454
6.0,0.6516634187212696,0.8901654671836685
7.0,0.5939983526865641,0.918816069325248
8.0,0.5618191918841114,0.9479289251369435
9.0,0.513365975132695,1.013728333043528
10.0,0.4933904481154901,1.030043561379988
1 epoch train_loss valid_clean_loss
2 1.0 1.0536950241636347 0.9706045127176977
3 2.0 0.8524193581607606 0.8777912927197886
4 3.0 0.760877827251399 0.8636277507949661
5 4.0 0.7150518761740791 0.8624753559028709
6 5.0 0.6774439651657034 0.877832626248454
7 6.0 0.6516634187212696 0.8901654671836685
8 7.0 0.5939983526865641 0.918816069325248
9 8.0 0.5618191918841114 0.9479289251369435
10 9.0 0.513365975132695 1.013728333043528
11 10.0 0.4933904481154901 1.030043561379988
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0536950241636347,0.9706045127176977
2.0,0.8524193581607606,0.8777912927197886
3.0,0.760877827251399,0.8636277507949661
4.0,0.7150518761740791,0.8624753559028709
5.0,0.6774439651657034,0.877832626248454
6.0,0.6516634187212696,0.8901654671836685
7.0,0.5939983526865641,0.918816069325248
8.0,0.5618191918841114,0.9479289251369435
9.0,0.513365975132695,1.013728333043528
10.0,0.4933904481154901,1.030043561379988
1 epoch train_loss valid_clean_loss
2 1.0 1.0536950241636347 0.9706045127176977
3 2.0 0.8524193581607606 0.8777912927197886
4 3.0 0.760877827251399 0.8636277507949661
5 4.0 0.7150518761740791 0.8624753559028709
6 5.0 0.6774439651657034 0.877832626248454
7 6.0 0.6516634187212696 0.8901654671836685
8 7.0 0.5939983526865641 0.918816069325248
9 8.0 0.5618191918841114 0.9479289251369435
10 9.0 0.513365975132695 1.013728333043528
11 10.0 0.4933904481154901 1.030043561379988
@@ -0,0 +1,10 @@
epoch,train_loss,valid_clean_loss
1.0,1.0184006403993677,0.9758902355864808
2.0,0.8721449165432541,0.9131481346193251
3.0,0.7584562389938919,0.9061737309445391
4.0,0.70247816046079,0.908711409830785
5.0,0.6474666976266437,0.9444795060943771
6.0,0.6255715103061111,0.9916293214965652
7.0,0.5631065650118722,1.0601372142414471
8.0,0.5009032366452394,1.1017653536010574
9.0,0.4493949540235378,1.177744794677902
1 epoch train_loss valid_clean_loss
2 1.0 1.0184006403993677 0.9758902355864808
3 2.0 0.8721449165432541 0.9131481346193251
4 3.0 0.7584562389938919 0.9061737309445391
5 4.0 0.70247816046079 0.908711409830785
6 5.0 0.6474666976266437 0.9444795060943771
7 6.0 0.6255715103061111 0.9916293214965652
8 7.0 0.5631065650118722 1.0601372142414471
9 8.0 0.5009032366452394 1.1017653536010574
10 9.0 0.4493949540235378 1.177744794677902
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0344635292335793,0.9769261263229034
2.0,0.8467512428760529,0.8954217656628116
3.0,0.7528229709024783,0.8857204809293642
4.0,0.7020640406343672,0.8774335417118702
5.0,0.6610019422239728,0.9038714190105815
6.0,0.6052676102629414,0.9758975283130185
7.0,0.5659312236088293,0.9750687735421317
8.0,0.5310967906757638,1.049424912903335
9.0,0.46808629096658144,1.1149894405197311
10.0,0.4314451297676122,1.177863896548093
1 epoch train_loss valid_clean_loss
2 1.0 1.0344635292335793 0.9769261263229034
3 2.0 0.8467512428760529 0.8954217656628116
4 3.0 0.7528229709024783 0.8857204809293642
5 4.0 0.7020640406343672 0.8774335417118702
6 5.0 0.6610019422239728 0.9038714190105815
7 6.0 0.6052676102629414 0.9758975283130185
8 7.0 0.5659312236088293 0.9750687735421317
9 8.0 0.5310967906757638 1.049424912903335
10 9.0 0.46808629096658144 1.1149894405197311
11 10.0 0.4314451297676122 1.177863896548093
@@ -0,0 +1,9 @@
epoch,train_loss,valid_clean_loss
1.0,1.011995311136599,0.9519830608105921
2.0,0.8360813723670112,0.8962717344472696
3.0,0.7534678158936677,0.8991011263249995
4.0,0.7069296527791906,0.9073571071519957
5.0,0.6639300579274142,0.9432451947704776
6.0,0.6353109103661997,0.9912105065125686
7.0,0.5673890513954339,1.0443138106838687
8.0,0.5254902547156369,1.1027433977022276
1 epoch train_loss valid_clean_loss
2 1.0 1.011995311136599 0.9519830608105921
3 2.0 0.8360813723670112 0.8962717344472696
4 3.0 0.7534678158936677 0.8991011263249995
5 4.0 0.7069296527791906 0.9073571071519957
6 5.0 0.6639300579274142 0.9432451947704776
7 6.0 0.6353109103661997 0.9912105065125686
8 7.0 0.5673890513954339 1.0443138106838687
9 8.0 0.5254902547156369 1.1027433977022276
@@ -0,0 +1,9 @@
epoch,train_loss,valid_clean_loss
1.0,1.0119953784677718,0.9519833208440425
2.0,0.8360813088991024,0.8962707964928596
3.0,0.7534678666679947,0.8991013843934614
4.0,0.7069298084135409,0.9073559026141743
5.0,0.6639298437922089,0.9432453493495564
6.0,0.6353108998801973,0.9912109388099922
7.0,0.56738873405589,1.0443127351802783
8.0,0.5254902160829968,1.1027441640476605
1 epoch train_loss valid_clean_loss
2 1.0 1.0119953784677718 0.9519833208440425
3 2.0 0.8360813088991024 0.8962707964928596
4 3.0 0.7534678666679947 0.8991013843934614
5 4.0 0.7069298084135409 0.9073559026141743
6 5.0 0.6639298437922089 0.9432453493495564
7 6.0 0.6353108998801973 0.9912109388099922
8 7.0 0.56738873405589 1.0443127351802783
9 8.0 0.5254902160829968 1.1027441640476605
@@ -0,0 +1,10 @@
epoch,train_loss,valid_clean_loss
1.0,1.0707936783631642,1.0067818826371497
2.0,0.9140718049473233,0.9000171115110208
3.0,0.7863181178216581,0.8512143093151051
4.0,0.7349886541013364,0.851207211122408
5.0,0.6789810916891804,0.8575038864062383
6.0,0.6610487986493994,0.8806245772393195
7.0,0.6122590667671628,0.9165601101550427
8.0,0.5692078007592095,0.9351011645662916
9.0,0.5215919649711361,0.99570418714167
1 epoch train_loss valid_clean_loss
2 1.0 1.0707936783631642 1.0067818826371497
3 2.0 0.9140718049473233 0.9000171115110208
4 3.0 0.7863181178216581 0.8512143093151051
5 4.0 0.7349886541013364 0.851207211122408
6 5.0 0.6789810916891804 0.8575038864062383
7 6.0 0.6610487986493994 0.8806245772393195
8 7.0 0.6122590667671628 0.9165601101550427
9 8.0 0.5692078007592095 0.9351011645662916
10 9.0 0.5215919649711361 0.99570418714167
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0577489623317011,0.9879156252840063
2.0,0.8716377052995894,0.8907375866240197
3.0,0.7750455615697084,0.8654810419449439
4.0,0.7179531797214791,0.8613645519529071
5.0,0.6809909796273267,0.8796235846949148
6.0,0.6348593281926932,0.9029495820894347
7.0,0.6029366790144531,0.9171899249265482
8.0,0.5716203340777645,0.9463915248493572
9.0,0.5201758698180869,0.9928344789442125
10.0,0.5027363620422505,1.0327370245378096
1 epoch train_loss valid_clean_loss
2 1.0 1.0577489623317011 0.9879156252840063
3 2.0 0.8716377052995894 0.8907375866240197
4 3.0 0.7750455615697084 0.8654810419449439
5 4.0 0.7179531797214791 0.8613645519529071
6 5.0 0.6809909796273267 0.8796235846949148
7 6.0 0.6348593281926932 0.9029495820894347
8 7.0 0.6029366790144531 0.9171899249265482
9 8.0 0.5716203340777645 0.9463915248493572
10 9.0 0.5201758698180869 0.9928344789442125
11 10.0 0.5027363620422505 1.0327370245378096
@@ -0,0 +1,10 @@
epoch,train_loss,valid_clean_loss
1.0,1.0575931425447818,0.9988141858970726
2.0,0.8773076059641661,0.8911895647153749
3.0,0.7700778461164899,0.8651458110128131
4.0,0.7248913248380026,0.8694970201659988
5.0,0.682613401501267,0.884684423823933
6.0,0.659738369010113,0.9030193935383807
7.0,0.6011747334290434,0.9310533351950593
8.0,0.5665941779260282,0.9628150620303311
9.0,0.5270494206084145,1.0122937671430818
1 epoch train_loss valid_clean_loss
2 1.0 1.0575931425447818 0.9988141858970726
3 2.0 0.8773076059641661 0.8911895647153749
4 3.0 0.7700778461164899 0.8651458110128131
5 4.0 0.7248913248380026 0.8694970201659988
6 5.0 0.682613401501267 0.884684423823933
7 6.0 0.659738369010113 0.9030193935383807
8 7.0 0.6011747334290434 0.9310533351950593
9 8.0 0.5665941779260282 0.9628150620303311
10 9.0 0.5270494206084145 1.0122937671430818
@@ -0,0 +1,10 @@
epoch,train_loss,valid_clean_loss
1.0,1.0575931425447818,0.9988141858970726
2.0,0.8773076059641661,0.8911895647153749
3.0,0.7700778461164899,0.8651458110128131
4.0,0.7248913248380026,0.8694970201659988
5.0,0.682613401501267,0.884684423823933
6.0,0.659738369010113,0.9030193935383807
7.0,0.6011747334290434,0.9310533351950593
8.0,0.5665941779260282,0.9628150620303311
9.0,0.5270494206084145,1.0122937671430818
1 epoch train_loss valid_clean_loss
2 1.0 1.0575931425447818 0.9988141858970726
3 2.0 0.8773076059641661 0.8911895647153749
4 3.0 0.7700778461164899 0.8651458110128131
5 4.0 0.7248913248380026 0.8694970201659988
6 5.0 0.682613401501267 0.884684423823933
7 6.0 0.659738369010113 0.9030193935383807
8 7.0 0.6011747334290434 0.9310533351950593
9 8.0 0.5665941779260282 0.9628150620303311
10 9.0 0.5270494206084145 1.0122937671430818
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0648082616152588,1.0257792996836232
2.0,0.9508535012050912,0.9455079901349414
3.0,0.83619585191762,0.9239543119629661
4.0,0.7835445602734884,0.9075145099189256
5.0,0.7335039586932571,0.9146714800006741
6.0,0.7189743309109299,0.9153845460860284
7.0,0.669045564201143,0.9579015452783186
8.0,0.6221646765867869,0.9763828352257445
9.0,0.5898675388760037,1.0184288430999924
10.0,0.5511867072847154,1.0475065275862976
1 epoch train_loss valid_clean_loss
2 1.0 1.0648082616152588 1.0257792996836232
3 2.0 0.9508535012050912 0.9455079901349414
4 3.0 0.83619585191762 0.9239543119629661
5 4.0 0.7835445602734884 0.9075145099189256
6 5.0 0.7335039586932571 0.9146714800006741
7 6.0 0.7189743309109299 0.9153845460860284
8 7.0 0.669045564201143 0.9579015452783186
9 8.0 0.6221646765867869 0.9763828352257445
10 9.0 0.5898675388760037 1.0184288430999924
11 10.0 0.5511867072847154 1.0475065275862976
@@ -0,0 +1,12 @@
epoch,train_loss,valid_clean_loss
1.0,1.0638797470816859,1.028256350821191
2.0,0.9404247038894229,0.9602446667440645
3.0,0.8558459458527742,0.9207163734750433
4.0,0.7991754125665735,0.9120825791096949
5.0,0.7538611182460079,0.9113014386250422
6.0,0.7000082863701714,0.9467641167588287
7.0,0.6632694422646805,0.9526280204018394
8.0,0.6257995438796503,0.9969304380836067
9.0,0.5829168972041872,1.0277221163550576
10.0,0.556718733575609,1.0591561126184987
11.0,0.5129955758651098,1.1357925462198781
1 epoch train_loss valid_clean_loss
2 1.0 1.0638797470816859 1.028256350821191
3 2.0 0.9404247038894229 0.9602446667440645
4 3.0 0.8558459458527742 0.9207163734750433
5 4.0 0.7991754125665735 0.9120825791096949
6 5.0 0.7538611182460079 0.9113014386250422
7 6.0 0.7000082863701714 0.9467641167588287
8 7.0 0.6632694422646805 0.9526280204018394
9 8.0 0.6257995438796503 0.9969304380836067
10 9.0 0.5829168972041872 1.0277221163550576
11 10.0 0.556718733575609 1.0591561126184987
12 11.0 0.5129955758651098 1.1357925462198781
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0713691667274192,1.017243931581686
2.0,0.9250873768771136,0.9292757629038213
3.0,0.827078006333775,0.9095677916820233
4.0,0.7792822652392917,0.9027277290166079
5.0,0.7457061266457593,0.9076534837156862
6.0,0.709590431716707,0.9116529927148924
7.0,0.670481797169756,0.9217575978446793
8.0,0.6348734536656627,0.9528291304032881
9.0,0.5908853731773518,0.982715639439258
10.0,0.5694722047558537,0.9955548689915583
1 epoch train_loss valid_clean_loss
2 1.0 1.0713691667274192 1.017243931581686
3 2.0 0.9250873768771136 0.9292757629038213
4 3.0 0.827078006333775 0.9095677916820233
5 4.0 0.7792822652392917 0.9027277290166079
6 5.0 0.7457061266457593 0.9076534837156862
7 6.0 0.709590431716707 0.9116529927148924
8 7.0 0.670481797169756 0.9217575978446793
9 8.0 0.6348734536656627 0.9528291304032881
10 9.0 0.5908853731773518 0.982715639439258
11 10.0 0.5694722047558537 0.9955548689915583
@@ -0,0 +1,11 @@
epoch,train_loss,valid_clean_loss
1.0,1.0713691667274192,1.017243931581686
2.0,0.9250873768771136,0.9292757629038213
3.0,0.827078006333775,0.9095677916820233
4.0,0.7792822652392917,0.9027277290166079
5.0,0.7457061266457593,0.9076534837156862
6.0,0.709590431716707,0.9116529927148924
7.0,0.670481797169756,0.9217575978446793
8.0,0.6348734536656627,0.9528291304032881
9.0,0.5908853731773518,0.982715639439258
10.0,0.5694722047558537,0.9955548689915583
1 epoch train_loss valid_clean_loss
2 1.0 1.0713691667274192 1.017243931581686
3 2.0 0.9250873768771136 0.9292757629038213
4 3.0 0.827078006333775 0.9095677916820233
5 4.0 0.7792822652392917 0.9027277290166079
6 5.0 0.7457061266457593 0.9076534837156862
7 6.0 0.709590431716707 0.9116529927148924
8 7.0 0.670481797169756 0.9217575978446793
9 8.0 0.6348734536656627 0.9528291304032881
10 9.0 0.5908853731773518 0.982715639439258
11 10.0 0.5694722047558537 0.9955548689915583