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@@ -23,6 +23,16 @@ Net results: 14.15% greater accuracy with Ranger21 vs Adam, same training epochs
### Ranger21 Status:
+ May 16 - ImageNet training finished, finishing paper, updated Ranger21 with 1 off iteration fix and new show_schedule() feature:
+* ImageNet runs have finished and hope to have arxiv paper ready in next week or so.
+* Big thanks to @zsgj-Xxx for finding that the warmup ends up with the lr being 1 iteration short. Have updated with fix.
+* In order to make it easier to see the lr schedule, have added a new show_schedule() that will show a pyplot image directly, along with the start/max/min values for the schedule. This info was already there via the tracking_lr value, but now it's even easier to train and then make a single:
+ ~~~
+ optimizer.show_schedule()
+ ~~~
+ to quickly view the full schedule and key values.
+
+
May 1 PM - Multiple ImageNet runs in progress, updated Ranger code checked in Have multiple ImageNet runs in progress to prep for a paper for Ranger21. The Base comparison is simply Adam on ImageNet and Ranger21 on ImageNet, with a ResNet50. Ranger21 started later but has already matched Adam with half the epochs...plan is to run to 60 epochs each.
