Closed wanmeihuali closed 1 year ago
Running experiment on sagemaker with git sha 3f9d7b64662eba69e174d50727676698cb512a69
Training job eames-3f9d7b6-231024-192652-garden created
Running experiment on sagemaker with git sha 3f9d7b64662eba69e174d50727676698cb512a69
Training job eames-3f9d7b6-231024-192718-bicycle created
Running experiment on sagemaker with git sha 3f9d7b64662eba69e174d50727676698cb512a69
Training job eames-3f9d7b6-231024-192720-tat-truck-baseline created
Running experiment on sagemaker with git sha 3f9d7b64662eba69e174d50727676698cb512a69
Training job eames-3f9d7b6-231024-192724-tat-train-baseline created
Running experiment on sagemaker with git sha 3f9d7b64662eba69e174d50727676698cb512a69
Training job eames-3f9d7b6-231024-192814-tat-truck created
Running experiment on sagemaker with git sha 3f9d7b64662eba69e174d50727676698cb512a69
Training job eames-3f9d7b6-231024-192910-stump created
Training job eames-3f9d7b6-231024-192910-stump final metrics:
train:iteration | train:l1loss | train:loss | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|
30000.0 | 0.025973385199904442 | 0.05694577097892761 | 28.45159149169922 | 0.8191646933555603 | 0.1808353066444397 | 0.08392150700092316 | 25.472970962524414 | 0.7276599407196045 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
21.58466148376465 | 0.5428127646446228 | 27.387666702270508 | 0.7537729144096375 | 28.45159149169922 | 0.8191646933555603 | 23.849620819091797 | 0.6219972372055054 | 24.246835708618164 | 0.6538430452346802 | 25.472970962524414 | 0.7276599407196045 |
Training job eames-3f9d7b6-231024-192724-tat-train-baseline final metrics:
train:iteration | train:l1loss | train:loss | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|
30000.0 | 0.036700036376714706 | 0.05513408035039902 | 25.089275360107422 | 0.8711297512054443 | 0.12887024879455566 | 0.09859532862901688 | 20.981233596801758 | 0.8029562830924988 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
25.7515811920166 | 0.9082896113395691 | 23.676692962646484 | 0.7920026183128357 | 25.089275360107422 | 0.8711297512054443 | 19.202381134033203 | 0.7334191203117371 | 19.852245330810547 | 0.7612011432647705 | 20.981233596801758 | 0.8029562830924988 |
Training job eames-3f9d7b6-231024-192652-garden final metrics:
train:iteration | train:l1loss | train:loss | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|
30000.0 | 0.031207667663693428 | 0.06283076852560043 | 26.63733673095703 | 0.8106768131256104 | 0.18932318687438965 | 0.06835386157035828 | 26.174362182617188 | 0.7925434112548828 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
24.00539207458496 | 0.65027916431427 | 27.2478084564209 | 0.7633471488952637 | 26.63733673095703 | 0.8106768131256104 | 24.331811904907227 | 0.7064827680587769 | 24.96723747253418 | 0.737957775592804 | 26.174362182617188 | 0.7925434112548828 |
Training job eames-3f9d7b6-231024-192814-tat-truck final metrics:
train:iteration | train:l1loss | train:loss | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|
30000.0 | 0.027755212038755417 | 0.048308633267879486 | 27.405717849731445 | 0.8694776892662048 | 0.13052231073379517 | 0.06172330677509308 | 24.407304763793945 | 0.838995099067688 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
21.12999153137207 | 0.7433778643608093 | 21.89835548400879 | 0.7681899070739746 | 27.405717849731445 | 0.8694776892662048 | 22.612749099731445 | 0.7869253158569336 | 23.4173526763916 | 0.8107906579971313 | 24.407304763793945 | 0.838995099067688 |
Training job eames-3f9d7b6-231024-192720-tat-truck-baseline final metrics:
train:iteration | train:l1loss | train:loss | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|
30000.0 | 0.028492428362369537 | 0.047112949192523956 | 25.393863677978516 | 0.878404974937439 | 0.12159502506256104 | 0.05392666906118393 | 25.128582000732422 | 0.8637707233428955 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
25.21282196044922 | 0.8476314544677734 | 24.303207397460938 | 0.8512646555900574 | 25.393863677978516 | 0.878404974937439 | 23.220325469970703 | 0.8166990876197815 | 23.91393280029297 | 0.8391759991645813 | 25.128582000732422 | 0.8637707233428955 |
Training job eames-3f9d7b6-231024-192718-bicycle final metrics:
train:iteration | train:l1loss | train:loss | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|
30000.0 | 0.05140933021903038 | 0.09932830184698105 | 22.194204330444336 | 0.7089958190917969 | 0.2910041809082031 | 0.09111849963665009 | 24.43584442138672 | 0.7157107591629028 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
21.062707901000977 | 0.5756927728652954 | 18.573200225830078 | 0.5401503443717957 | 22.194204330444336 | 0.7089958190917969 | 22.585567474365234 | 0.5875217914581299 | 23.334014892578125 | 0.6341448426246643 | 24.43584442138672 | 0.7157107591629028 |
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