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run_finetune_with_custom_optim.sh
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#!/bin/bash
model_name_or_path=meta-llama/Llama-3.2-3B-Instruct
dataset_path=data/alpaca/train_conversation
conversation_template=llama3
output_dir=output_models/finetune_custom_optim
# Select an optimizer from the following options:
# - 'adamw_torch'
# - 'adafactor'
# - 'sgd'
# - 'lion_8bit'
# - 'lion_32bit'
# - 'rmsprop'
# Additional optimizers are shown below
optim=dummy
beta1=0.9
beta2=0.999
beta3=0.99
weight_decay=0
momentum=0
# Finetune
exp_id=finetune_custom_optim
log_dir=${output_dir}/log/
mkdir -p ${output_dir} ${log_dir}
optim_suffix_args=""
if [ "${optim}" == "dummy" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_dummy_beta1 ${beta1}"
optim_suffix_args+=" --optim_dummy_beta2 ${beta2}"
elif [ "${optim}" == "adabelief" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "adabound" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "lars" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_momentum ${momentum}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "lamb" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "adamax" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "nadam" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "radam" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "adamp" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "sgdp" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_momentum ${momentum}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "yogi" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "sophia" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "adan" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_beta3 ${beta3}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "adam" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
elif [ "${optim}" == "novograd" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "adadelta" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
elif [ "${optim}" == "adagrad" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
elif [ "${optim}" == "muon" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
optim_suffix_args+=" --customized_optim ${optim}"
elif [ "${optim}" == "adamw_schedule_free" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_beta1 ${beta1}"
optim_suffix_args+=" --optim_beta2 ${beta2}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
elif [ "${optim}" == "sgd_schedule_free" ]; then
optim_suffix_args="--use_customized_optim 1"
optim_suffix_args+=" --customized_optim ${optim}"
optim_suffix_args+=" --optim_momentum ${momentum}"
optim_suffix_args+=" --optim_weight_decay ${weight_decay}"
else
optim_suffix_args="--optim ${optim}"
optim_suffix_args+=" --adam_beta1 ${beta1}"
optim_suffix_args+=" --adam_beta2 ${beta2}"
fi
accelerate launch --config_file configs/accelerate_fsdp_config.yaml \
examples/finetune.py \
--model_name_or_path ${model_name_or_path} \
--trust_remote_code 0 \
--dataset_path ${dataset_path} \
--output_dir ${output_dir} --overwrite_output_dir \
--conversation_template ${conversation_template} \
${optim_suffix_args} \
--disable_group_texts 1 \
--num_train_epochs 1 \
--block_size 512 \
--per_device_train_batch_size 1 \
--gradient_accumulation_steps 1 \
--learning_rate 2e-5 \
--lr_scheduler_type cosine \
--bf16 \
--torch_dtype bfloat16 \
--validation_split_percentage 0 \
--logging_steps 20 \
--do_train \
--ddp_timeout 72000 \
--save_steps 5000 \
--use_flash_attention 0 \
--gradient_checkpointing 0 \
--dataloader_num_workers 8 \
--report_to wandb \
--run_name ${exp_id} \
--seed 42 \
> >(tee ${log_dir}/train.log) \
2> >(tee ${log_dir}/train.err >&2)