Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
The table of contents is too big for display.
Diff view
Diff view
  •  
  •  
  •  
The diff you're trying to view is too large. We only load the first 3000 changed files.
27 changes: 27 additions & 0 deletions artifacts/leaderboard_v1/ademamix_summary.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
,workload,trial,val target metric name,val target metric value,val target reached,best metric value on val,time to best eval on val (s),time to target on val (s),step_time (s),step_hint
7,criteo1tb_pytorch,trial_1,validation/loss,0.123735,True,0.1236847321358005,7839.193164110184,7839.193164110184,1.0010825763927422,10666
16,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1242111736866617,13214.635874271393,inf,1.0010825763927422,10666
24,criteo1tb_pytorch,trial_1,validation/loss,0.123735,True,0.1236501955610997,7835.540827274322,7479.550709962845,1.0010825763927422,10666
1,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7248104441078714,1311.1073644161224,1311.1073644161224,0.9420394021221715,18094
10,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7249505124067952,1517.7321906089785,1517.7321906089785,0.9420394021221715,18094
19,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.724893770663337,1555.3687834739685,1555.3687834739685,0.9420394021221715,18094
8,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,22.14082852319187,18025.636202573776,18025.636202573776,0.40403201664468946,72000
17,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,22.23496029572029,18027.61917901039,18027.61917901039,0.40403201664468946,72000
25,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,22.247438140097906,18025.89689064026,18025.89689064026,0.40403201664468946,72000
0,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.60218,59997.68517279625,inf,0.6740027356507963,195999
9,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.61658,73926.78414797783,inf,0.6740027356507963,195999
18,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.61518,73948.011013031,inf,0.6740027356507963,195999
2,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.61544,95268.04540586472,inf,0.802424341129202,167999
11,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.61512,92620.5374662876,inf,0.802424341129202,167999
3,librispeech_conformer_pytorch,trial_1,validation/wer,0.085884,True,0.0848356104861681,54136.87689781189,54136.87689781189,0.7305170534584913,76000
12,librispeech_conformer_pytorch,trial_1,validation/wer,0.085884,True,0.0838990006276251,48894.85426735878,48894.85426735878,0.7305170534584913,76000
20,librispeech_conformer_pytorch,trial_1,validation/wer,0.085884,True,0.0842659199536522,48888.971920251846,48888.971920251846,0.7305170534584913,76000
5,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1200695215565104,34737.411699295044,inf,0.7884586655586601,38400
14,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,True,0.1185245980785014,28953.85911822319,28953.85911822319,0.7884586655586601,38400
22,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1215758219475691,33312.74022984505,inf,0.7884586655586601,38400
4,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,True,0.2872654622003903,7232.420216321945,6329.966245889664,0.2304398308491926,52000
13,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,True,0.2920392515125629,8137.10068655014,6332.58651471138,0.2304398308491926,52000
21,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,True,0.283304967314845,5891.7984273433685,5891.7984273433685,0.2304398308491926,52000
6,wmt_pytorch,trial_1,validation/bleu,30.8491,True,30.87605698677609,17399.639942407608,17399.639942407608,0.1538000967767499,120000
15,wmt_pytorch,trial_1,validation/bleu,30.8491,False,30.80807424915632,19338.09857201576,inf,0.1538000967767499,120000
23,wmt_pytorch,trial_1,validation/bleu,30.8491,True,30.867059390411267,16752.356283187866,16752.356283187866,0.1538000967767499,120000
26 changes: 26 additions & 0 deletions artifacts/leaderboard_v1/cautious_nadamw_summary.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,26 @@
,workload,trial,val target metric name,val target metric value,val target reached,best metric value on val,time to best eval on val (s),time to target on val (s),step_time (s),step_hint
7,criteo1tb_jax,trial_1,validation/loss,0.123735,False,0.1256997472383533,2863.6579899787903,inf,0.9266347767470695,10666
15,criteo1tb_jax,trial_1,validation/loss,0.123735,False,0.1258371449566668,1792.0047852993011,inf,0.9266347767470695,10666
24,criteo1tb_jax,trial_1,validation/loss,0.123735,False,0.1246944847459977,9989.461620092392,inf,0.9266347767470695,10666
1,fastmri_jax,trial_1,validation/ssim,0.723653,True,0.7244385315181837,1608.188658952713,1608.188658952713,0.6559752236253,18094
9,fastmri_jax,trial_1,validation/ssim,0.723653,True,0.7238933024409117,1383.1596400737762,1383.1596400737762,0.6559752236253,18094
17,fastmri_jax,trial_1,validation/ssim,0.723653,True,0.7236819978369443,2571.815328359604,2571.815328359604,0.6559752236253,18094
23,finewebedu_lm_jax,trial_1,validation/ppl,22.432,True,21.63268571712524,25738.981688261032,25738.981688261032,0.44144648333990966,72000
0,imagenet_resnet_jax,trial_1,validation/accuracy,0.77431,False,0.7466,69885.5102982521,inf,0.25149491638964216,195999
8,imagenet_resnet_jax,trial_1,validation/accuracy,0.77431,False,0.74748,67896.18414497375,inf,0.25149491638964216,195999
16,imagenet_resnet_jax,trial_1,validation/accuracy,0.77431,False,0.74964,61917.01934456825,inf,0.25149491638964216,195999
6,imagenet_vit_jax,trial_1,validation/accuracy,0.77309,False,0.7506,87452.66640520096,inf,0.49596923795226744,167999
14,imagenet_vit_jax,trial_1,validation/accuracy,0.77309,False,0.75158,82308.66560220718,inf,0.49596923795226744,167999
22,imagenet_vit_jax,trial_1,validation/accuracy,0.77309,False,0.75034,87448.36735343933,inf,0.49596923795226744,167999
4,librispeech_conformer_jax,trial_1,validation/wer,0.085884,False,0.1421619272920388,64988.59479641914,inf,2.589838852085477,76000
12,librispeech_conformer_jax,trial_1,validation/wer,0.085884,False,0.1426254043354415,65012.818663835526,inf,2.589838852085477,76000
20,librispeech_conformer_jax,trial_1,validation/wer,0.085884,False,0.1444986240525274,64979.35094237328,inf,2.589838852085477,76000
5,librispeech_deepspeech_jax,trial_1,validation/wer,0.119936,False,0.2943175783324482,10338.725378990172,inf,2.7988120351912658,38400
13,librispeech_deepspeech_jax,trial_1,validation/wer,0.119936,False,0.2872881765075074,10334.769649744034,inf,2.7988120351912658,38400
21,librispeech_deepspeech_jax,trial_1,validation/wer,0.119936,False,0.2853473663882586,14680.395282268524,inf,2.7988120351912658,38400
3,ogbg_jax,trial_1,validation/mean_average_precision,0.28098,True,0.2845644139519467,5444.764040708542,4992.686820983887,0.1979359465075458,52000
11,ogbg_jax,trial_1,validation/mean_average_precision,0.28098,True,0.2874222775151546,5446.810508966446,4542.640103340149,0.1979359465075458,52000
19,ogbg_jax,trial_1,validation/mean_average_precision,0.28098,True,0.2809900831846614,4995.647005558014,4995.647005558014,0.1979359465075458,52000
2,wmt_jax,trial_1,validation/bleu,30.8491,True,30.876108999624343,12943.72738480568,12943.72738480568,0.1255462995675322,120000
10,wmt_jax,trial_1,validation/bleu,30.8491,True,31.02074381397432,14876.415894269943,14232.458706855774,0.1255462995675322,120000
18,wmt_jax,trial_1,validation/bleu,30.8491,True,30.91251520933702,15517.656443834305,15517.656443834305,0.1255462995675322,120000
28 changes: 28 additions & 0 deletions artifacts/leaderboard_v1/lion_summary.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
,workload,trial,val target metric name,val target metric value,val target reached,best metric value on val,time to best eval on val (s),time to target on val (s),step_time (s),step_hint
7,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1241905161220999,9978.416061878204,inf,0.91592558011244,10666
16,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1242616643239586,12466.455169200895,inf,0.91592558011244,10666
25,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1242412303757036,12106.893656492231,inf,0.91592558011244,10666
1,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7238031751195836,619.9493722915649,619.9493722915649,0.27376442936493867,18094
10,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7243804158826322,1421.2225756645205,1421.2225756645205,0.27376442936493867,18094
19,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7239882383845667,1394.1750195026398,1394.1750195026398,0.27376442936493867,18094
8,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,21.261897266260053,23164.569310188293,23164.569310188293,0.38839825067830164,72000
17,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,21.110008038411504,23177.09142231941,23177.09142231941,0.38839825067830164,72000
26,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,21.130699319951358,23172.039316177368,23172.039316177368,0.38839825067830164,72000
0,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.61338,73980.61954474449,inf,0.6743097256486612,195999
9,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.61892,67952.96683573723,inf,0.6743097256486612,195999
18,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.62902,67951.73512744904,inf,0.6743097256486612,195999
2,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.6242,87448.87829089165,inf,0.8120775926593171,167999
11,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.63292,95191.34969496728,inf,0.8120775926593171,167999
20,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.6418,95165.0220131874,inf,0.8120775926593171,167999
3,librispeech_conformer_pytorch,trial_1,validation/wer,0.085884,False,0.1153188818616327,57621.20974063873,inf,0.7231872968606753,76000
12,librispeech_conformer_pytorch,trial_1,validation/wer,0.085884,False,0.1507845314536764,54127.30689024925,inf,0.7231872968606753,76000
21,librispeech_conformer_pytorch,trial_1,validation/wer,0.085884,False,0.1264423309032974,57621.14528346062,inf,0.7231872968606753,76000
5,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1247042919905373,31862.61851024628,inf,0.7694697594617248,38400
14,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.126799594457587,31838.147053956985,inf,0.7694697594617248,38400
23,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1238063052189446,31852.81674218177,inf,0.7694697594617248,38400
4,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,True,0.2857323411413317,7223.987207174301,7223.987207174301,0.21286914966307793,52000
13,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,True,0.2812007204404579,6782.790376663208,6782.790376663208,0.21286914966307793,52000
22,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,True,0.283014990979593,8582.123725652695,8582.123725652695,0.21286914966307793,52000
6,wmt_pytorch,trial_1,validation/bleu,30.8491,True,30.948023339872734,15475.552730083466,15475.552730083466,0.1413890021270408,120000
15,wmt_pytorch,trial_1,validation/bleu,30.8491,True,30.87531810470684,17401.493114233017,15474.955520391464,0.1413890021270408,120000
24,wmt_pytorch,trial_1,validation/bleu,30.8491,False,30.76188896433939,17388.50763297081,inf,0.1413890021270408,120000
28 changes: 28 additions & 0 deletions artifacts/leaderboard_v1/muon_summary.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
,workload,trial,val target metric name,val target metric value,val target reached,best metric value on val,time to best eval on val (s),time to target on val (s),step_time (s),step_hint
8,criteo1tb_jax,trial_1,validation/loss,0.123735,False,0.1245190224490917,13217.0788064003,inf,1.80744596371582,10666
17,criteo1tb_jax,trial_1,validation/loss,0.123735,False,0.1246482386019362,12154.283058166504,inf,1.80744596371582,10666
26,criteo1tb_jax,trial_1,validation/loss,0.123735,False,0.1245746128447548,13221.646473169329,inf,1.80744596371582,10666
1,fastmri_jax,trial_1,validation/ssim,0.723653,True,0.7239323209763646,1145.923245429993,1145.923245429993,0.15300968625117742,18094
10,fastmri_jax,trial_1,validation/ssim,0.723653,True,0.7238764035681626,2594.490219116211,2594.490219116211,0.15300968625117742,18094
19,fastmri_jax,trial_1,validation/ssim,0.723653,True,0.7247154394696117,1869.765276670456,1869.765276670456,0.15300968625117742,18094
7,finewebedu_lm_jax,trial_1,validation/ppl,22.432,True,21.808373188667463,20594.037749767303,20594.037749767303,0.504613462023225,72000
16,finewebedu_lm_jax,trial_1,validation/ppl,22.432,True,21.85239511139204,20594.19531917572,20594.19531917572,0.504613462023225,72000
25,finewebedu_lm_jax,trial_1,validation/ppl,22.432,True,21.82093364841247,20593.710190296173,20593.710190296173,0.504613462023225,72000
0,imagenet_resnet_jax,trial_1,validation/accuracy,0.77431,False,0.73021996,73908.46513557434,inf,0.34063982264727855,195999
9,imagenet_resnet_jax,trial_1,validation/accuracy,0.77431,False,0.73056,53931.644364357,inf,0.34063982264727855,195999
18,imagenet_resnet_jax,trial_1,validation/accuracy,0.77431,False,0.71808,65941.6421945095,inf,0.34063982264727855,195999
6,imagenet_vit_jax,trial_1,validation/accuracy,0.77309,True,0.77518,77162.91657114029,77162.91657114029,0.5145936103030498,167999
15,imagenet_vit_jax,trial_1,validation/accuracy,0.77309,False,0.75193995,95183.25943279266,inf,0.5145936103030498,167999
24,imagenet_vit_jax,trial_1,validation/accuracy,0.77309,True,0.77476,74592.82279109955,74592.82279109955,0.5145936103030498,167999
4,librispeech_conformer_jax,trial_1,validation/wer,0.085884,False,0.1673441799835852,64973.90770673752,inf,2.486110555855915,76000
13,librispeech_conformer_jax,trial_1,validation/wer,0.085884,False,0.1665524067011055,64973.39529895783,inf,2.486110555855915,76000
22,librispeech_conformer_jax,trial_1,validation/wer,0.085884,False,0.1644281369188432,64948.560970783234,inf,2.486110555855915,76000
5,librispeech_deepspeech_jax,trial_1,validation/wer,0.119936,False,0.174721189591078,55211.92119574547,inf,2.709749883580429,38400
14,librispeech_deepspeech_jax,trial_1,validation/wer,0.119936,False,0.1775792980253946,55245.24317121506,inf,2.709749883580429,38400
23,librispeech_deepspeech_jax,trial_1,validation/wer,0.119936,False,0.1763819823299377,53775.95950937271,inf,2.709749883580429,38400
3,ogbg_jax,trial_1,validation/mean_average_precision,0.28098,False,0.279643299276242,1828.2280414104464,inf,0.19192375124386668,52000
12,ogbg_jax,trial_1,validation/mean_average_precision,0.28098,False,0.2754040150725418,1378.5888230800629,inf,0.19192375124386668,52000
21,ogbg_jax,trial_1,validation/mean_average_precision,0.28098,False,0.2761794983317486,1827.266467809677,inf,0.19192375124386668,52000
2,wmt_jax,trial_1,validation/bleu,30.8491,False,28.997438769958425,12296.452765226364,inf,0.173934285073483,120000
11,wmt_jax,trial_1,validation/bleu,30.8491,False,28.65403612242089,11011.619378566742,inf,0.173934285073483,120000
20,wmt_jax,trial_1,validation/bleu,30.8491,False,28.777579127157672,12941.239448785782,inf,0.173934285073483,120000
25 changes: 25 additions & 0 deletions artifacts/leaderboard_v1/muon_torch_jax_hps_achandr_summary.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,25 @@
,workload,trial,val target metric name,val target metric value,val target reached,best metric value on val,time to best eval on val (s),time to target on val (s),step_time (s),step_hint
6,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1244582424910858,9634.312291383743,inf,0.9711783830686549,10666
14,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1244297249629434,10347.2724711895,inf,0.9711783830686549,10666
22,criteo1tb_pytorch,trial_1,validation/loss,0.123735,False,0.1244362416603791,8941.123232603073,inf,0.9711783830686549,10666
1,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7239354122335748,1263.3804235458374,1263.3804235458374,1.1274927614012604,18094
9,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7244227317591094,1397.0868299007416,1397.0868299007416,1.1274927614012604,18094
17,fastmri_pytorch,trial_1,validation/ssim,0.723653,True,0.7251363313124296,1357.4687869548798,1357.4687869548798,1.1274927614012604,18094
7,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,20.17356939052113,10351.42058467865,10351.42058467865,0.2033421407507006,72000
15,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,20.13693460840124,10338.734079360962,10338.734079360962,0.2033421407507006,72000
23,finewebedu_lm_pytorch,trial_1,validation/ppl,22.432,True,20.28190476358841,10335.659363031387,10335.659363031387,0.2033421407507006,72000
0,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.636,67946.58710741997,inf,0.733399593865325,195999
8,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.63268,69927.26937556267,inf,0.733399593865325,195999
16,imagenet_resnet_pytorch,trial_1,validation/accuracy,0.77431,False,0.62592,73906.59245371819,inf,0.733399593865325,195999
2,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.64002,95158.52423453332,inf,0.8253189693677481,167999
10,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.6509,95160.28095626833,inf,0.8253189693677481,167999
18,imagenet_vit_pytorch,trial_1,validation/accuracy,0.77309,False,0.64674,95137.99645900726,inf,0.8253189693677481,167999
4,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1233911070342297,28965.4743244648,inf,0.7700204282210652,38400
12,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1235262878385555,30396.61142873764,inf,0.7700204282210652,38400
20,librispeech_deepspeech_pytorch,trial_1,validation/wer,0.119936,False,0.1276493023704919,27513.07432436943,inf,0.7700204282210652,38400
3,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,False,0.2792997481830299,1838.9561376571653,inf,0.22362731819104265,52000
11,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,False,0.2783637947593863,2305.59510588646,inf,0.22362731819104265,52000
19,ogbg_pytorch,trial_1,validation/mean_average_precision,0.28098,False,0.276606606902414,1834.394849538803,inf,0.22362731819104265,52000
5,wmt_pytorch,trial_1,validation/bleu,30.8491,False,28.48839040257156,6481.575395107269,inf,0.0893746101765593,120000
13,wmt_pytorch,trial_1,validation/bleu,30.8491,False,28.84975754265453,5198.2468848228455,inf,0.0893746101765593,120000
21,wmt_pytorch,trial_1,validation/bleu,30.8491,False,28.563567621183555,5214.693088293076,inf,0.0893746101765593,120000
Loading
Loading