[PZ COMPETITION] Competition jouw #171
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| #!/bin/bash | ||
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| HOME="/root/workspace" | ||
| MODEL_PATH="/root/workspace/OpenSeek-Small-v1-SFT" | ||
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| PROJECT_NAME="OpenSeek-Small-v1-SFT_RL_Training" | ||
| RUN_NAME="OpenSeek-Small-v1-SFT_math_reasoning_v4" | ||
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| export CUDA_VISIBLE_DEVICES=0,1,2,3 | ||
| export HYDRA_FULL_ERROR=1 | ||
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| export WANDB_API_KEY={WANDB_API_KEY} # need to config | ||
| export WANDB_MODE=online | ||
| export WANDB__DISABLE_IPV6=true | ||
| export WANDB_START_METHOD=thread | ||
| export WANDB_SILENT=false | ||
| export WANDB__SERVICE_WAIT=300 | ||
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| PYTHONUNBUFFERED=1 python3 -m verl.trainer.main_ppo \ | ||
| algorithm.adv_estimator=grpo \ | ||
| data.train_files="$HOME/data/math_reasoning_refine/train.parquet" \ | ||
| data.val_files="$HOME/data/math_reasoning_refine/test.parquet" \ | ||
| data.train_batch_size=256 \ | ||
| data.max_prompt_length=1024 \ | ||
| data.max_response_length=512 \ | ||
| data.filter_overlong_prompts=True \ | ||
| data.truncation='error' \ | ||
| data.trust_remote_code=True \ | ||
| data.shuffle=True \ | ||
| actor_rollout_ref.model.path=$MODEL_PATH \ | ||
| actor_rollout_ref.actor.strategy=fsdp2 \ | ||
| actor_rollout_ref.actor.optim.lr=5e-7 \ | ||
| actor_rollout_ref.actor.optim.lr_warmup_steps=0 \ | ||
| actor_rollout_ref.actor.optim.warmup_style="cosine" \ | ||
| actor_rollout_ref.actor.optim.min_lr_ratio=0.0 \ | ||
| actor_rollout_ref.actor.optim.num_cycles=0.5 \ | ||
| actor_rollout_ref.actor.optim.weight_decay=0.01 \ | ||
| actor_rollout_ref.actor.use_kl_loss=True \ | ||
| actor_rollout_ref.actor.kl_loss_coef=0.001 \ | ||
| actor_rollout_ref.actor.kl_loss_type=low_var_kl \ | ||
| actor_rollout_ref.actor.entropy_coeff=0 \ | ||
| actor_rollout_ref.actor.ppo_mini_batch_size=64 \ | ||
| actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=16 \ | ||
| actor_rollout_ref.rollout.name=sglang \ | ||
| actor_rollout_ref.rollout.n=5 \ | ||
| actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=16 \ | ||
| actor_rollout_ref.rollout.tensor_model_parallel_size=1 \ | ||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.attention_backend=flashinfer \ | ||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.use_tiktoken=false \ | ||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_path=/root/workspace/OpenSeek-Small-v1-SFT \ | ||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.trust_remote_code=true \ | ||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_mode=hf \ | ||
| actor_rollout_ref.rollout.gpu_memory_utilization=0.3 \ | ||
| actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=16 \ | ||
| actor_rollout_ref.model.trust_remote_code=True \ | ||
| critic.strategy=fsdp2 \ | ||
| critic.optim.lr=1e-6 \ | ||
| critic.model.path=$MODEL_PATH \ | ||
| critic.model.trust_remote_code=True \ | ||
| critic.ppo_micro_batch_size_per_gpu=16 \ | ||
| algorithm.use_kl_in_reward=False \ | ||
| trainer.critic_warmup=0 \ | ||
| trainer.logger='["console","wandb"]' \ | ||
| trainer.project_name=$PROJECT_NAME \ | ||
| trainer.experiment_name=$RUN_NAME \ | ||
| trainer.val_before_train=True \ | ||
| trainer.n_gpus_per_node=4 \ | ||
| trainer.nnodes=1 \ | ||
| trainer.save_freq=250 \ | ||
| trainer.test_freq=25 \ | ||
| trainer.total_epochs=10 | ||
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| #!/bin/bash | ||||||
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| HOME="/root/workspace" | ||||||
| MODEL_PATH="/root/workspace/OpenSeek-Small-v1-SFT" | ||||||
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| PROJECT_NAME="OpenSeek-Small-v1-SFT_RL_Training" | ||||||
| RUN_NAME="OpenSeek-Small-v1-SFT_math_reasoning" | ||||||
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| export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 | ||||||
| export HYDRA_FULL_ERROR=1 | ||||||
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| export WANDB_API_KEY={WANDB_API_KEY} # need to config | ||||||
| export WANDB_MODE=online | ||||||
| export WANDB__DISABLE_IPV6=true | ||||||
| export WANDB_START_METHOD=thread | ||||||
| export WANDB_SILENT=false | ||||||
| export WANDB__SERVICE_WAIT=300 | ||||||
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| PYTHONUNBUFFERED=1 python3 -m verl.trainer.main_ppo \ | ||||||
| algorithm.adv_estimator=grpo \ | ||||||
| data.train_files="$HOME/data/math_reasoning/train.parquet" \ | ||||||
| data.val_files="$HOME/data/math_reasoning/test.parquet" \ | ||||||
| data.train_batch_size=256 \ | ||||||
| data.max_prompt_length=2048 \ | ||||||
| data.max_response_length=2048 \ | ||||||
| data.filter_overlong_prompts=True \ | ||||||
| data.truncation='error' \ | ||||||
| data.trust_remote_code=True \ | ||||||
| actor_rollout_ref.model.path=$MODEL_PATH \ | ||||||
| actor_rollout_ref.actor.strategy=fsdp2 \ | ||||||
| actor_rollout_ref.actor.optim.lr=1e-6 \ | ||||||
| actor_rollout_ref.actor.optim.lr_warmup_steps=20 \ | ||||||
| actor_rollout_ref.actor.optim.warmup_style="cosine" \ | ||||||
| actor_rollout_ref.actor.optim.min_lr_ratio=0.1 \ | ||||||
| actor_rollout_ref.actor.optim.num_cycles=0.5 \ | ||||||
| actor_rollout_ref.actor.optim.weight_decay=0.01 \ | ||||||
| actor_rollout_ref.actor.use_kl_loss=True \ | ||||||
| actor_rollout_ref.actor.kl_loss_coef=0.001 \ | ||||||
| actor_rollout_ref.actor.kl_loss_type=low_var_kl \ | ||||||
| actor_rollout_ref.actor.entropy_coeff=0 \ | ||||||
| actor_rollout_ref.actor.ppo_mini_batch_size=64 \ | ||||||
| actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=8 \ | ||||||
| actor_rollout_ref.rollout.name=sglang \ | ||||||
| actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=8 \ | ||||||
| actor_rollout_ref.rollout.tensor_model_parallel_size=1 \ | ||||||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.attention_backend=flashinfer \ | ||||||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.use_tiktoken=false \ | ||||||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_path=/root/workspace/OpenSeek-Small-v1-SFT \ | ||||||
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| +actor_rollout_ref.rollout.engine_kwargs.sglang.trust_remote_code=true \ | ||||||
| +actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_mode=hf \ | ||||||
| actor_rollout_ref.rollout.gpu_memory_utilization=0.3 \ | ||||||
| actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=8 \ | ||||||
| actor_rollout_ref.model.trust_remote_code=True \ | ||||||
| critic.strategy=fsdp2 \ | ||||||
| critic.optim.lr=1e-6 \ | ||||||
| critic.model.path=$MODEL_PATH \ | ||||||
| critic.model.trust_remote_code=True \ | ||||||
| critic.ppo_micro_batch_size_per_gpu=4 \ | ||||||
| algorithm.use_kl_in_reward=False \ | ||||||
| trainer.critic_warmup=0 \ | ||||||
| trainer.logger='["console","wandb"]' \ | ||||||
| trainer.project_name=$PROJECT_NAME \ | ||||||
| trainer.experiment_name=$RUN_NAME \ | ||||||
| trainer.val_before_train=True \ | ||||||
| trainer.n_gpus_per_node=8 \ | ||||||
| trainer.nnodes=1 \ | ||||||
| trainer.save_freq=500 \ | ||||||
| trainer.test_freq=100 \ | ||||||
| trainer.total_epochs=10 | ||||||
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| #!/bin/bash | ||||||||||||||||||||||||||||||
| #SBATCH --gpus=4 | ||||||||||||||||||||||||||||||
| #SBATCH -x paraai-n32-h-01-agent-[1,4,8,16,17,25,27,28,29,30,31] | ||||||||||||||||||||||||||||||
| module load compilers/cuda/12.4 | ||||||||||||||||||||||||||||||
| module load cudnn/8.9.5.29_cuda12.x | ||||||||||||||||||||||||||||||
| module load compilers/gcc/12.2.0 | ||||||||||||||||||||||||||||||
| module load cmake/3.26.3 | ||||||||||||||||||||||||||||||
| module load miniforge3/24.1 | ||||||||||||||||||||||||||||||
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| WANDB_RUN="OpenSeek-Small-v1_tokens-15B-math-exp2" | ||||||||||||||||||||||||||||||
| LOG_DIR="/home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/logs/details/host_0_localhost/20250814_2024" | ||||||||||||||||||||||||||||||
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| SAVE_STEPS=720 | ||||||||||||||||||||||||||||||
| EVAL_STEPS=100 | ||||||||||||||||||||||||||||||
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| export CUDA_VISIBLE_DEVICES=0,1,2,3 | ||||||||||||||||||||||||||||||
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| export NCCL_DEBUG=INFO | ||||||||||||||||||||||||||||||
| export NCCL_SOCKET_IFNAME=^docker0,lo | ||||||||||||||||||||||||||||||
| export PYTHONUNBUFFERED=1 | ||||||||||||||||||||||||||||||
| export OMP_NUM_THREADS=1 | ||||||||||||||||||||||||||||||
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| ulimit -n 1048576 | ||||||||||||||||||||||||||||||
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| source activate flagscale-train | ||||||||||||||||||||||||||||||
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| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/checkpoints | ||||||||||||||||||||||||||||||
| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/checkpoints | ||||||||||||||||||||||||||||||
| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/logs | ||||||||||||||||||||||||||||||
| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/logs/pids | ||||||||||||||||||||||||||||||
| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/logs/details | ||||||||||||||||||||||||||||||
| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/tensorboard | ||||||||||||||||||||||||||||||
| mkdir -p /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/wandb | ||||||||||||||||||||||||||||||
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| cd /home/bingxing2/home/scx7353/workspace/OpenSeek/FlagScale | ||||||||||||||||||||||||||||||
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| export PYTHONPATH=/home/bingxing2/home/scx7353/workspace/OpenSeek/FlagScale/third_party/Megatron-LM:/home/bingxing2/home/scx7353/workspace/OpenSeek/FlagScale:${PYTHONPATH} | ||||||||||||||||||||||||||||||
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| export http_proxy=http://u-cEoRwn:[email protected]:3128 | ||||||||||||||||||||||||||||||
| export https_proxy=http://u-cEoRwn:[email protected]:3128 | ||||||||||||||||||||||||||||||
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There was a problem hiding this comment. Hardcoded credentials in the proxy URLs are a major security risk. These should be removed from the script and managed securely, for example, by loading them from environment variables which are set outside of version control.
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| export WANDB_API_KEY={WANDB_API_KEY} # need to config | ||||||||||||||||||||||||||||||
| export WANDB_MODE=online | ||||||||||||||||||||||||||||||
| export WANDB__SERVICE_WAIT=300 | ||||||||||||||||||||||||||||||
| export WANDB_SILENT=false | ||||||||||||||||||||||||||||||
| export WANDB_START_METHOD=thread | ||||||||||||||||||||||||||||||
| export WANDB_GROUP=$WANDB_RUN | ||||||||||||||||||||||||||||||
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| VISIBLE_DEVICES=0,1,2,3 DEVICE_MAX_CONNECTIONS=4 torchrun \ | ||||||||||||||||||||||||||||||
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| --rdzv_backend static \ | ||||||||||||||||||||||||||||||
| --nnodes 1 \ | ||||||||||||||||||||||||||||||
| --nproc_per_node 4 \ | ||||||||||||||||||||||||||||||
| --rdzv_id default \ | ||||||||||||||||||||||||||||||
| --node_rank 0 \ | ||||||||||||||||||||||||||||||
| --rdzv_endpoint localhost:59249 \ | ||||||||||||||||||||||||||||||
| --log_dir $LOG_DIR \ | ||||||||||||||||||||||||||||||
| --redirects 3 \ | ||||||||||||||||||||||||||||||
| --tee 3 \ | ||||||||||||||||||||||||||||||
| flagscale/train/train_gpt.py \ | ||||||||||||||||||||||||||||||
| --no-load-optim --no-load-rng \ | ||||||||||||||||||||||||||||||
| --recompute-method uniform --recompute-granularity full --recompute-num-layers 6 \ | ||||||||||||||||||||||||||||||
| --moe-router-dtype fp32 --num-workers 1 \ | ||||||||||||||||||||||||||||||
| --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --expert-model-parallel-size 1 --context-parallel-size 1 \ | ||||||||||||||||||||||||||||||
| --disable-bias-linear --reset-position-ids --reset-attention-mask \ | ||||||||||||||||||||||||||||||
| --qk-layernorm --sequence-parallel --use-distributed-optimizer --overlap-grad-reduce --overlap-param-gather \ | ||||||||||||||||||||||||||||||
| --bf16 --attention-softmax-in-fp32 --accumulate-allreduce-grads-in-fp32 \ | ||||||||||||||||||||||||||||||
| --log-interval 1 --tensorboard-log-interval 1 \ | ||||||||||||||||||||||||||||||
| --wandb-mode online \ | ||||||||||||||||||||||||||||||
| --wandb-api-key 2356f969f25a7b0f375f3bcf3aff92e70d912bda \ | ||||||||||||||||||||||||||||||
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| --wandb-project OpenSeek-Small-v1 \ | ||||||||||||||||||||||||||||||
| --wandb-exp-name $WANDB_RUN \ | ||||||||||||||||||||||||||||||
| --log-timers-to-tensorboard --log-validation-ppl-to-tensorboard \ | ||||||||||||||||||||||||||||||
| --log-throughput --log-params-norm --log-num-zeros-in-grad --log-memory-to-tensorboard \ | ||||||||||||||||||||||||||||||
| --tensorboard-dir /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/tensorboard \ | ||||||||||||||||||||||||||||||
| --wandb-save-dir /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/wandb \ | ||||||||||||||||||||||||||||||
| --save-interval $SAVE_STEPS \ | ||||||||||||||||||||||||||||||
| --load /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/checkpoints \ | ||||||||||||||||||||||||||||||
| --ckpt-format torch \ | ||||||||||||||||||||||||||||||
| --save /home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/checkpoints \ | ||||||||||||||||||||||||||||||
| --transformer-impl transformer_engine --num-layers 6 --hidden-size 1280 \ | ||||||||||||||||||||||||||||||
| --num-attention-heads 10 --num-query-groups 10 --seq-length 4096 --max-position-embeddings 4096 --norm-epsilon 1e-06 \ | ||||||||||||||||||||||||||||||
| --use-rotary-position-embeddings --rotary-base 1000000 \ | ||||||||||||||||||||||||||||||
| --swiglu --normalization RMSNorm --init-method-std 0.006 --attention-dropout 0.0 --hidden-dropout 0.0 --clip-grad 1.0 \ | ||||||||||||||||||||||||||||||
| --position-embedding-type rope --no-position-embedding --no-rope-fusion --multi-latent-attention \ | ||||||||||||||||||||||||||||||
| --kv-lora-rank 512 --qk-head-dim 128 --qk-pos-emb-head-dim 64 --v-head-dim 128 --ffn-hidden-size 7168 \ | ||||||||||||||||||||||||||||||
| --moe-ffn-hidden-size 896 --moe-grouped-gemm --moe-shared-expert-intermediate-size 1792 \ | ||||||||||||||||||||||||||||||
| --num-experts 64 --moe-router-load-balancing-type seq_aux_loss --moe-router-score-function sigmoid \ | ||||||||||||||||||||||||||||||
| --moe-router-enable-expert-bias --moe-router-bias-update-rate 0.001 --moe-aux-loss-coeff 0.0001 \ | ||||||||||||||||||||||||||||||
| --moe-layer-freq '[0]+[1]*5' --moe-router-num-groups 1 --moe-router-group-topk 1 --moe-router-topk 6 \ | ||||||||||||||||||||||||||||||
| --moe-router-topk-scaling-factor 2.446 --moe-token-dispatcher-type alltoall --seed 42 \ | ||||||||||||||||||||||||||||||
| --micro-batch-size 2 --global-batch-size 1024 \ | ||||||||||||||||||||||||||||||
| --eval-iters 4 --eval-interval $EVAL_STEPS \ | ||||||||||||||||||||||||||||||
| --train-iters 3620 \ | ||||||||||||||||||||||||||||||
| --weight-decay 0.01 \ | ||||||||||||||||||||||||||||||
| --adam-beta1 0.9 --adam-beta2 0.95 \ | ||||||||||||||||||||||||||||||
| --lr 0.00001 --min-lr 0.0000001 \ | ||||||||||||||||||||||||||||||
| --lr-warmup-iters 50 --lr-warmup-samples 0 --lr-decay-style cosine \ | ||||||||||||||||||||||||||||||
| --data-path 1.1068 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/Nemotron-CC-high-actual-actual-high/part_142_text_document 0.5397 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/Nemotron-CC-high-synthetic-diverse_qa_pairs-high/part_244_text_document 0.4616 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/Nemotron-CC-high-synthetic-extract_knowledge-high/part_498_text_document 0.261 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/Nemotron-CC-high-synthetic-knowledge_list-high/part_86_text_document 0.6414 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/arxiv/007_00000_text_document 0.4696 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/books/016_00007_text_document 1.0102 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/code-high/part_13_text_document 0.3755 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis2_CC-high/23_text_document 0.4598 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis2_code-high/4_text_document 1.3135 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis2_math-high/12_text_document 0.3536 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis2_math-mid/5_text_document 0.6314 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis2_wiki-high/5_text_document 0.5074 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis_math-high/11_text_document 0.6406 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/cot_synthesis_math-mid/29_text_document 1.8165 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/math-high/part_04_text_document 1.6311 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/math-mid/part_07_text_document 0.4202 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/wiki/012_00000_text_document 1.8171 /home/bingxing2/home/scx7353/workspace/OpenSeek-Pretrain-100B/zh_cc-high-loss0/part_28_text_document \ | ||||||||||||||||||||||||||||||
| --split 998,1,1 \ | ||||||||||||||||||||||||||||||
| --no-mmap-bin-files \ | ||||||||||||||||||||||||||||||
| --tokenizer-type QwenTokenizerFS --tokenizer-path ../hf_openseek/tokenizer \ | ||||||||||||||||||||||||||||||
| --vocab-size 151851 --make-vocab-size-divisible-by 64 | ||||||||||||||||||||||||||||||
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The tokenizer path is hardcoded. It's better to use the
MODEL_PATHvariable defined at the top of the script for consistency and easier maintenance.