[PZ COMPETITION] Competition jouw

[jouw]

submit the materials

[gemini-code-assist]

Summary of Changes

Hello @jouw, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a collection of new shell scripts aimed at supporting advanced training and refinement workflows for large language models within a competition context. The changes provide robust setups for both reinforcement learning-based fine-tuning on mathematical reasoning datasets and a comprehensive pre-training pipeline for a GPT model leveraging a Mixture of Experts architecture, all while integrating with WANDB for effective experiment management.

Highlights

• New PPO Training Scripts: Two new PPO (Proximal Policy Optimization) training scripts (train-grpo-v4.sh and train-grpo.sh) have been added for fine-tuning the OpenSeek-Small-v1-SFT model on math reasoning tasks, with varying configurations for prompt/response lengths and GPU usage.
• SGLang Engine Configuration: Both PPO training scripts now include specific sglang engine keyword arguments, enabling the use of flashinfer for the attention backend and explicit tokenizer path and mode settings for improved performance and control.
• Comprehensive GPT Training Job Submission: A detailed SLURM job submission script (submit-training-job.sh) has been introduced for pre-training a GPT model. This script includes extensive configurations for a Mixture of Experts (MoE) architecture, data paths, optimization, and WANDB integration.
• WANDB Integration: All new training scripts are configured to integrate with Weights & Biases (WANDB) for experiment tracking, including API key, project names, and run names, facilitating monitoring and reproducibility of training runs.

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[gemini-code-assist]

Code Review

This pull request adds several shell scripts for running training jobs. My review focuses on improving the security, portability, and maintainability of these scripts. I've found several critical security issues related to hardcoded credentials and API keys that must be addressed. Additionally, there are multiple instances of hardcoded paths that make the scripts difficult to reuse in different environments. I've provided suggestions to replace these with variables and dynamic values to make the scripts more robust and portable.

[gemini-code-assist]

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.

Suggested change

	export http_proxy=http://u-cEoRwn:EDvFuZTe@172.16.4.9:3128
	export https_proxy=http://u-cEoRwn:EDvFuZTe@172.16.4.9:3128
	export http_proxy=${HTTP_PROXY}
	export https_proxy=${HTTPS_PROXY}

[gemini-code-assist]

A hardcoded wandb-api-key is present. This is a significant security risk. The key should not be part of the source code. Please use the WANDB_API_KEY environment variable, which is already being exported (as a placeholder) on line 41. If the training script doesn't automatically pick up the environment variable, you can pass it as an argument like this.

Suggested change

	--wandb-api-key 2356f969f25a7b0f375f3bcf3aff92e70d912bda \
	--wandb-api-key "$WANDB_API_KEY" \

[gemini-code-assist]

This block has two issues:

1. Hardcoded absolute paths make the script non-portable.
2. A duplicated mkdir command for checkpoints.

It's recommended to use a variable for the base path (e.g., BASE_PATH, defined at the top of the script) and remove the duplicate line to improve portability and correctness.

Suggested change

	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
	mkdir -p "${BASE_PATH}/checkpoints"
	# The duplicate line was here
	mkdir -p "${BASE_PATH}/logs"
	mkdir -p "${BASE_PATH}/logs/pids"
	mkdir -p "${BASE_PATH}/logs/details"
	mkdir -p "${BASE_PATH}/tensorboard"
	mkdir -p "${BASE_PATH}/wandb"

[gemini-code-assist]

The tokenizer path is hardcoded. It's better to use the MODEL_PATH variable defined at the top of the script for consistency and easier maintenance.

Suggested change

	+actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_path=/root/workspace/OpenSeek-Small-v1-SFT \
	+actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_path=$MODEL_PATH \

[gemini-code-assist]

The tokenizer path is hardcoded. It's better to use the MODEL_PATH variable defined at the top of the script for consistency and easier maintenance.

Suggested change

	+actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_path=/root/workspace/OpenSeek-Small-v1-SFT \
	+actor_rollout_ref.rollout.engine_kwargs.sglang.tokenizer_path=$MODEL_PATH \

[gemini-code-assist]

The LOG_DIR contains a hardcoded timestamp. This makes the script less reusable for multiple runs. It's better to generate the timestamp dynamically using the date command. This will create a new log directory for each run.

Suggested change

	LOG_DIR="/home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/logs/details/host_0_localhost/20250814_2024"
	LOG_DIR="/home/bingxing2/home/scx7353/workspace/OpenSeek/OpenSeek-Small-v1-Baseline/logs/details/host_0_localhost/$(date +'%Y%m%d_%H%M%S')"

[gemini-code-assist]

The variable VISIBLE_DEVICES is likely a typo and should be CUDA_VISIBLE_DEVICES. However, CUDA_VISIBLE_DEVICES is already exported on line 15. This makes this variable assignment redundant and potentially confusing. It's recommended to remove it as torchrun does not use it.

Suggested change

	VISIBLE_DEVICES=0,1,2,3 DEVICE_MAX_CONNECTIONS=4 torchrun \
	DEVICE_MAX_CONNECTIONS=4 torchrun \