Add example with Weights and Biases + distributed finetuning #932
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Signed-off-by: Flaviu Vadan <flaviuvadan@gmail.com>
Signed-off-by: Flaviu Vadan <flaviuvadan@gmail.com>
flaviuvadan
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semver:patch
Signed-off-by: Flaviu Vadan <flaviuvadan@gmail.com>
I noticed that we don't have the CLI mentioned at all. I thought about adding some docs about it to the README at least. I am sure we're going to have a dedicated documentation page on RTFD at some point --------- Signed-off-by: Flaviu Vadan <flaviuvadan@gmail.com> Co-authored-by: Elliot Gunton <egunton@bloomberg.net>
Signed-off-by: Flaviu Vadan <flaviuvadan@gmail.com>
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #932 +/- ##
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+ Coverage 80.3% 80.6% +0.3%
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Files 49 49
Lines 3898 3898
Branches 792 792
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+ Hits 3131 3145 +14
+ Misses 573 565 -8
+ Partials 194 188 -6 ☔ View full report in Codecov by Sentry. |
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elliotgunton
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type:documentation
elliotgunton
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Jan 19, 2024
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I've been meaning to add these examples to the repo for a while. One is an example of how one can use WandB with Hera scripts, which is really not very different than the core Python example already documented here. The other example is from the talk I had the chance to give with @JPZ13 at KubeCon NA 2023. The example added in this PR is a flat representation of this repo. My hope with the two is illustrate that distributed training is much more accessible in Hera + Argo Workflows on K8s. Some useful references: