wehub-resource-sync
37 lines
1.1 KiB
Bash
37 lines
1.1 KiB
Bash
# 2 * 70GiB
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# For inference code, refer to: examples/infer/demo_embedding.py
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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NPROC_PER_NODE=2 \
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CUDA_VISIBLE_DEVICES=0,1 \
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INFONCE_TEMPERATURE=0.1 \
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megatron sft \
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--model Qwen/Qwen3-Embedding-8B \
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--task_type embedding \
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--save_safetensors true \
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--tuner_type full \
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--dataset sentence-transformers/stsb:positive \
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--load_from_cache_file true \
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--split_dataset_ratio 0.02 \
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--tensor_model_parallel_size 2 \
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--sequence_parallel true \
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--micro_batch_size 16 \
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--global_batch_size 16 \
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--recompute_granularity full \
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--recompute_method uniform \
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--recompute_num_layers 1 \
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--finetune true \
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--cross_entropy_loss_fusion true \
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--lr 5e-6 \
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--lr_warmup_fraction 0.05 \
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--min_lr 1e-7 \
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--num_train_epochs 5 \
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--output_dir megatron_output/Qwen3-Embedding-8B \
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--save_steps 200 \
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--eval_steps 100 \
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--max_length 8192 \
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--loss_type infonce \
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--dataloader_num_workers 4 \
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--no_save_optim true \
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--no_save_rng true \
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--dataset_num_proc 4
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