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Regression of log-transformed energy and pt, training checkpoints #343

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merged 39 commits into from
Sep 20, 2024

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@jpata jpata commented Sep 12, 2024

Primary changes:

  • use log-transformed energy and pt for regression
  • split classification to binary and PID multiclass losses
  • last attention layer queries configurable, now set to input embeddings
  • additional CMS stats in v2.3
  • generate CLIC WW->fullhad, ZH->tautau, Z->tautau in v2.1
  • ensure training works on AMD MI250X (LUMI)
  • split and monitor regression losses separately
  • add CLD training
  • option to save attention matrices for visualization

Result checkpoints:

@jpata jpata changed the title Fixes sep6 Model improvements Sep 12, 2024
jpata and others added 16 commits September 13, 2024 13:06
* rocm

* up

* update lumi scripts

* remove correct dir

* update samples

* add samples

* up

* fix supervised key

* resubmit training

* add missing

* Merge

* add mpgun

* plt target and gen separately

* separate submission scripts

* add stats

* fix softmax bug

* add CLD sample

* add CLD sample

* add finetuning script

* add genjob script

* add cld

* up

* up

* up

* up

* up

---------

Co-authored-by: Joosep Pata <joosep.pata@kbfi.ee>
@jpata jpata changed the title Model improvements Regression of log-transformer energy and pt Sep 20, 2024
@jpata jpata changed the title Regression of log-transformer energy and pt Regression of log-transformer energy and pt, training checkpoints Sep 20, 2024
@jpata jpata changed the title Regression of log-transformer energy and pt, training checkpoints Regression of log-transformed energy and pt, training checkpoints Sep 20, 2024
@jpata jpata merged commit fba4288 into main Sep 20, 2024
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