Use Adam instead of AdamW, as we don't really need weight decay here.

[wanmeihuali]

No description provided.

[github-actions]

Running experiment on sagemaker with git sha 753cfb2

[github-actions]

Training job adam-753cfb2-230713-175431-tat-train-baseline created

[github-actions]

Running experiment on sagemaker with git sha 753cfb2

[github-actions]

Training job adam-753cfb2-230713-175516-tat-truck-baseline created

[github-actions]

Training job adam-753cfb2-230713-175516-tat-truck-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/adam-753cfb2-230713-175516-tat-truck-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-truck-baseline/adam-753cfb2-230713-175516-tat-truck-baseline/output/output.tar.gz

[github-actions]

Training job adam-753cfb2-230713-175516-tat-truck-baseline final metrics:

Latest 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	0.02784738875925541	0.04742341861128807	428687.0	25.662137985229492	0.8742724657058716	0.12572753429412842	0.05369199812412262	25.21463966369629	0.8645088076591492

Max Metrics

train:5kpsnr	train:5kssim	train:7kpsnr	train:7kssim	train:psnr	train:ssim	val:5kpsnr	val:5kssim	val:7kpsnr	val:7kssim	val:psnr	val:ssim
23.528881072998047	0.8341993093490601	25.262563705444336	0.8566510081291199	25.662137985229492	0.8742724657058716	23.006792068481445	0.8120771646499634	23.74270248413086	0.8340920805931091	25.21463966369629	0.8645088076591492

[github-actions]

Training job adam-753cfb2-230713-175431-tat-train-baseline completed.

Model url: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/adam-753cfb2-230713-175431-tat-train-baseline/output/model.tar.gz,

tensorboard output path: s3://taichi-3d-gaussian-splatting-log/tat-train-baseline/adam-753cfb2-230713-175431-tat-train-baseline/output/output.tar.gz

[github-actions]

Training job adam-753cfb2-230713-175431-tat-train-baseline final metrics:

Latest 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	0.02258770726621151	0.028390616178512573	672407.0	29.344024658203125	0.9483977556228638	0.05160224437713623	0.09910222887992859	20.915233612060547	0.8021687865257263

Max Metrics

train:5kpsnr	train:5kssim	train:7kpsnr	train:7kssim	train:psnr	train:ssim	val:5kpsnr	val:5kssim	val:7kpsnr	val:7kssim	val:psnr	val:ssim
18.99100685119629	0.6046180129051208	20.481412887573242	0.7304767966270447	29.344024658203125	0.9483977556228638	19.085350036621094	0.7313458323478699	19.7844295501709	0.7578710317611694	20.915233612060547	0.8021687865257263