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add training_reuse_decay_steps #1055

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@tuoping tuoping commented Nov 29, 2022

When starting with init-model, add a "training_reuse_decay_steps" parameter.

@njzjz njzjz changed the base branch from master to devel November 29, 2022 23:28
@@ -376,6 +377,7 @@ def make_train (iter_index,
if jinput['loss'].get('start_pref_f') is not None:
jinput['loss']['start_pref_f'] = training_reuse_start_pref_f
jinput['learning_rate']['start_lr'] = training_reuse_start_lr
jinput['learning_rate']['decay_steps'] = training_reuse_decay_steps
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This is a breaking change

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codecov-commenter commented Dec 22, 2022

Codecov Report

Base: 39.54% // Head: 39.55% // Increases project coverage by +0.00% 🎉

Coverage data is based on head (47e5733) compared to base (02d7d7d).
Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files
@@           Coverage Diff           @@
##            devel    #1055   +/-   ##
=======================================
  Coverage   39.54%   39.55%           
=======================================
  Files          99       99           
  Lines       17980    17982    +2     
=======================================
+ Hits         7111     7113    +2     
  Misses      10869    10869           
Impacted Files Coverage Δ
dpgen/generator/run.py 65.07% <100.00%> (+0.02%) ⬆️

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3 participants