Closed wanmeihuali closed 1 year ago
Running experiment on sagemaker with git sha a56205d1f51fcdd59096a584e209096ec42e8d1d
Training job cuda-optimization-a56205d-230716-084027-tat-truck-baseline created
Running experiment on sagemaker with git sha a56205d1f51fcdd59096a584e209096ec42e8d1d
Training job cuda-optimization-a56205d-230716-084135-tat-train-baseline created
Training job cuda-optimization-a56205d-230716-084027-tat-truck-baseline final metrics:
train:iteration | train:l1loss | train:loss | train:num_valid_points | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|
30000.0 | 0.03340969979763031 | 0.05477404594421387 | 421312.0 | 24.220762252807617 | 0.8597685694694519 | 0.1402314305305481 | 0.05353996902704239 | 25.222740173339844 | 0.8658005595207214 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
22.08319091796875 | 0.7829725742340088 | 23.802860260009766 | 0.848724365234375 | 24.220762252807617 | 0.8597685694694519 | 22.9982967376709 | 0.8132348656654358 | 23.748580932617188 | 0.8357873558998108 | 25.222740173339844 | 0.8658005595207214 |
Training job cuda-optimization-a56205d-230716-084135-tat-train-baseline final metrics:
train:iteration | train:l1loss | train:loss | train:num_valid_points | train:psnr | train:ssim | train:ssimloss | val:loss | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|
30000.0 | 0.027324626222252846 | 0.04322688281536102 | 652324.0 | 27.30440902709961 | 0.8931640982627869 | 0.10683590173721313 | 0.10098321735858917 | 20.809288024902344 | 0.7996891140937805 |
train:5kpsnr | train:5kssim | train:7kpsnr | train:7kssim | train:psnr | train:ssim | val:5kpsnr | val:5kssim | val:7kpsnr | val:7kssim | val:psnr | val:ssim |
---|---|---|---|---|---|---|---|---|---|---|---|
21.282970428466797 | 0.8127028942108154 | 15.480735778808594 | 0.6046363711357117 | 27.30440902709961 | 0.8931640982627869 | 19.05428695678711 | 0.7276621460914612 | 19.60567283630371 | 0.7535765171051025 | 20.809288024902344 | 0.7996891140937805 |
try use some idea from original implementation.