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Pass step=0 to Schedule class to yield initial learning rate (#12078)

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Madeesh Kannan 2023-01-09 20:15:02 +01:00 committed by GitHub
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spacy/training/loop.py
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@ -100,7 +100,7 @@ def train(
stdout.write( stdout.write(
msg.info(f"Set annotations on update for: {annotating_components}") + "\n" msg.info(f"Set annotations on update for: {annotating_components}") + "\n"
) )
stdout.write(msg.info(f"Initial learn rate: {optimizer.learn_rate}") + "\n") stdout.write(msg.info(f"Initial learn rate: {optimizer.learn_rate(step=0)}") + "\n")
with nlp.select_pipes(disable=frozen_components): with nlp.select_pipes(disable=frozen_components):
log_step, finalize_logger = train_logger(nlp, stdout, stderr) log_step, finalize_logger = train_logger(nlp, stdout, stderr)
try: try: