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If training restarts, it now restarts from the last checkpoint - Fix … #30

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If training restarts, it now restarts from the last checkpoint - Fix … #30

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6 changes: 4 additions & 2 deletions nemo/examples/nlp/language_modeling/test_llama.sh
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Expand Up @@ -72,12 +72,14 @@ $MAYBE_COMPILE torchrun $DISTRIBUTED_ARGS megatron_gpt_pretraining.py \
model.wrap_with_zero=$wrap_with_zero \
model.zero_use_master_weight=$zero_use_master_weight \
exp_manager.create_tensorboard_logger=$CREATE_TB_LOGGER \
exp_manager.resume_if_exists=False \
exp_manager.resume_ignore_no_checkpoint=False \
exp_manager.resume_if_exists=True \
exp_manager.resume_ignore_no_checkpoint=True \
exp_manager.create_checkpoint_callback=$CHECKPOINT_CALLBACK \
exp_manager.explicit_log_dir=$EXPLICIT_LOGDIR \
+exp_manager.checkpoint_callback_params.train_time_interval=36000 \
model.use_cpu_initialization=True 2>&1 | tee -a $LOG_PATH/log

# Note: to resume training using a checkpoint, please add the following configuration above, adjusting for your checkpoint path
# model.resume_from_checkpoint='/efs/checkpoint/megatron_gpt--step\=1085-consumed_samples\=69632.0-last.ckpt' \
# +exp_manager.checkpoint_callback_params.train_time_interval=36000 is in seconds and will cause checkpoints to be created every
# 10 hours. Change this appropriately for your use case.