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handle tokenization more correctly, clean up CI #62

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merged 9 commits into from
May 30, 2024
Merged

handle tokenization more correctly, clean up CI #62

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2527625
handle tokenization more correctly, clean up CI
charlesfrye May 30, 2024
3f5f018
fix codellama module saving
charlesfrye May 30, 2024
2c65751
unify loss check now that pythia training is well-tuned
charlesfrye May 30, 2024
1606515
switch to a100s by default
charlesfrye May 30, 2024
1f3e482
adjust epoch counts
charlesfrye May 30, 2024
b7a7d10
resolve issue with codellama
charlesfrye May 30, 2024
fb7d9b7
save model only at end of training in ci
charlesfrye May 30, 2024
62e612d
25 epochs for all models except pythia
charlesfrye May 30, 2024
9f63e2c
give codellama more room breathe in CI
charlesfrye May 30, 2024
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adjust epoch counts
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@charlesfrye
charlesfrye committed May 30, 2024
commit 1f3e48216df0c30440ea9e8bcf0330d9857710ff
9 changes: 8 additions & 1 deletion ci/prep_for_ci.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,8 +16,15 @@ def main(config: str, data: str):
cfg["lora_dropout"] = 0
cfg["weight_decay"] = 0

num_epochs = 50
val_set_size = 0.5
num_epochs = 50
if (
"Meta-Llama-3-8B" in cfg["base_model"]
or "codellama/CodeLlama-7b-Instruct-hf" in cfg["base_model"]
):
num_epochs = num_epochs // 2
elif "pythia" in cfg["base_model"]:
num_epochs = num_epochs * 2

cfg["val_set_size"] = val_set_size
cfg["num_epochs"] = num_epochs
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