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# Env: 4 * A100
# https://github.com/modelscope/ms-swift/blob/main/examples/train/long_text/zero3.sh
# Max Length: 32K
# GPU Memory: 4 * 50GB, Training Speed 23s/it
NPROC_PER_NODE=4 \
CUDA_VISIBLE_DEVICES=0,1,2,3 \
megatron sft \
--load Qwen2.5-7B-mcore \
--dataset 'ZhipuAI/LongWriter-6k' \
--tensor_model_parallel_size 4 \
--micro_batch_size 1 \
--global_batch_size 8 \
--packing true \
--recompute_granularity full \
--recompute_method uniform \
--recompute_num_layers 1 \
--train_iters 1000 \
--eval_iters 50 \
--finetune true \
--cross_entropy_loss_fusion true \
--lr 1e-5 \
--lr_warmup_iters 100 \
--min_lr 1e-6 \
--save megatron_output/Qwen2.5-7B \
--eval_interval 200 \
--save_interval 200 \
--max_length 32768 \
--num_workers 8 \
--dataset_num_proc 8 \
--no_save_optim true \
--no_save_rng true \
--sequence_parallel true \
--use_flash_attn true
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