wehub-resource-sync
38 lines
1.1 KiB
Bash
38 lines
1.1 KiB
Bash
# For more information on multi-node training launch methods, refer to:
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# https://github.com/modelscope/ms-swift/tree/main/examples/train/multi-node
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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NNODES=2 \
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NODE_RANK=0 \
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MASTER_ADDR=127.0.0.1 \
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MASTER_PORT=29500 \
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NPROC_PER_NODE=4 \
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megatron sft \
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--model Qwen/Qwen2.5-14B \
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--save_safetensors true \
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--dataset 'liucong/Chinese-DeepSeek-R1-Distill-data-110k-SFT' \
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--load_from_cache_file true \
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--split_dataset_ratio 0.01 \
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--tensor_model_parallel_size 4 \
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--micro_batch_size 1 \
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--global_batch_size 16 \
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--packing true \
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--recompute_granularity selective \
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--num_train_epochs 3 \
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--finetune true \
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--cross_entropy_loss_fusion true \
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--lr 1e-5 \
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--lr_warmup_fraction 0.05 \
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--min_lr 1e-6 \
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--output_dir megatron_output/Qwen2.5-14B \
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--eval_steps 200 \
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--save_steps 200 \
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--max_length 8192 \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--no_save_optim true \
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--no_save_rng true \
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--sequence_parallel true \
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--attention_backend flash
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