wehub-resource-sync
72 lines
2.2 KiB
Bash
72 lines
2.2 KiB
Bash
# MAX_PIXELS=602112 \
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# CUDA_VISIBLE_DEVICES=6,7 \
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# swift rollout \
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# --model Qwen/Qwen2.5-VL-3B-Instruct \
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# --vllm_data_parallel_size 2 \
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# --vllm_max_model_len 10240
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# DP size = world_size // (context_parallel_size * tensor_model_parallel_size * pipeline_model_parallel_size)
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# = 6 // (1 * 1 * 1) = 6
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# NOTE: global_batch_size and micro_batch_size are completion-level
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# global_batch_size = micro_batch_size * DP size * gradient_accumulation_steps (96)
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# generation_batch_size = global_batch_size * steps_per_generation (96 * 4 = 384)
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# num_of_prompt_to_rollout = generation_batch_size / num_generations (384 / 8 = 48)
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# num_of_prompt_to_train = generation_batch_size / num_generations (96 / 8 = 12)
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5 \
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NPROC_PER_NODE=6 \
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MAX_PIXELS=602112 \
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MASTER_PORT=29600 \
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megatron rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen2.5-VL-3B-Instruct \
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--save_safetensors true \
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--context_parallel_size 1 \
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--tensor_model_parallel_size 1 \
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--pipeline_model_parallel_size 1 \
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--dataset AI-ModelScope/clevr_cogen_a_train#10000 \
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--num_train_epochs 1 \
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--global_batch_size 96 \
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--micro_batch_size 4 \
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--steps_per_generation 4 \
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--num_generations 8 \
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--external_plugins examples/train/grpo/plugin/plugin.py \
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--reward_funcs external_r1v_acc format \
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--use_vllm true \
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--vllm_mode server \
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--vllm_server_host 127.0.0.1 \
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--vllm_server_port 8000 \
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--max_length 8192 \
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--max_completion_length 2048 \
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--tuner_type full \
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--lr 1e-6 \
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--bf16 true \
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--beta 0.001 \
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--importance_sampling_level token \
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--epsilon 0.2 \
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--epsilon_high 0.2 \
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--dynamic_sample false \
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--overlong_filter true \
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--loss_type grpo \
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--sleep_level 2 \
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--offload_model true \
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--offload_bridge false \
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--offload_optimizer true \
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--logging_steps 1 \
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--recompute_granularity selective \
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--finetune \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--no_save_optim \
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--no_save_rng \
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--attention_backend flash \
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--temperature 1.0 \
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--system examples/train/grpo/prompt.txt \
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--padding_free true \
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--log_completions true \
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--report_to wandb \
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--train_iters 100 \
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--eval_steps 1000 \
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--save_steps 1000
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