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Uniform resume checkpoint approach

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This commit is contained in:
henryruhs
2025-03-11 14:43:09 +01:00
parent 7b2b8f0f85
commit 11bb9065ba
6 changed files with 27 additions and 19 deletions
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embedding_converter/src/training.py
+9 -2
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@@ -1,4 +1,5 @@
import configparser
import os
from typing import Any, Tuple
import lightning
@@ -111,9 +112,15 @@ def create_trainer() -> Trainer:
def train() -> None:
trainer = create_trainer()
resume_file_path = CONFIG.get('training.output', 'resume_file_path')
training_loader, validation_loader = create_loaders()
embedding_converter_trainer = EmbeddingConverterTrainer()
trainer = create_trainer()
tuner = Tuner(trainer)
tuner.lr_find(embedding_converter_trainer, training_loader, validation_loader)
trainer.fit(embedding_converter_trainer, training_loader, validation_loader)
if os.path.exists(resume_file_path):
trainer.fit(embedding_converter_trainer, training_loader, validation_loader, ckpt_path = resume_file_path)
else:
trainer.fit(embedding_converter_trainer, training_loader, validation_loader)