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[references] Unify sched + optim config and add AdamW as option #1825

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merged 5 commits into from
Dec 20, 2024

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This PR:

  • Unify sched and optim config between train scripts
  • Add AdamW as option

Any feedback is welcome 🤗

@felixdittrich92 felixdittrich92 added type: enhancement Improvement ext: references Related to references folder framework: pytorch Related to PyTorch backend framework: tensorflow Related to TensorFlow backend topic: text detection Related to the task of text detection topic: text recognition Related to the task of text recognition topic: character classification Related to the task of character classification labels Dec 20, 2024
@felixdittrich92 felixdittrich92 added this to the 0.11.0 milestone Dec 20, 2024
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codecov bot commented Dec 20, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 96.58%. Comparing base (0e06eae) to head (d83beca).
Report is 2 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1825      +/-   ##
==========================================
- Coverage   96.59%   96.58%   -0.02%     
==========================================
  Files         165      165              
  Lines        7939     7939              
==========================================
- Hits         7669     7668       -1     
- Misses        270      271       +1     
Flag Coverage Δ
unittests 96.58% <ø> (-0.02%) ⬇️

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@felixdittrich92 felixdittrich92 merged commit e6bf82d into mindee:main Dec 20, 2024
68 of 69 checks passed
@felixdittrich92 felixdittrich92 deleted the adamw-addition branch December 20, 2024 15:21
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ext: references Related to references folder framework: pytorch Related to PyTorch backend framework: tensorflow Related to TensorFlow backend topic: character classification Related to the task of character classification topic: text detection Related to the task of text detection topic: text recognition Related to the task of text recognition type: enhancement Improvement
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2 participants