[doc] fix: update recipe link to fix 404 not found#5286
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tardis-key wants to merge 1 commit intoverl-project:mainfrom
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[doc] fix: update recipe link to fix 404 not found#5286tardis-key wants to merge 1 commit intoverl-project:mainfrom
tardis-key wants to merge 1 commit intoverl-project:mainfrom
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This pull request effectively addresses the issue of broken links in the documentation by updating references from volcengine/verl-recipe to verl-project/verl-recipe. These changes are crucial for maintaining the accuracy and usability of the documentation, ensuring that users can access the correct resources without encountering 404 errors. All modifications are consistent with the stated goal of fixing documentation links.
| - Supervised fine-tuning. | ||
| - Reinforcement learning with [PPO](examples/ppo_trainer/), [GRPO](examples/grpo_trainer/), [GSPO](https://github.com/verl-project/verl-recipe/tree/main/gspo/), [ReMax](examples/remax_trainer/), [REINFORCE++](https://verl.readthedocs.io/en/latest/examples/config.html#algorithm), [RLOO](examples/rloo_trainer/), [PRIME](https://github.com/verl-project/verl-recipe/tree/main/prime/), [DAPO](https://github.com/verl-project/verl-recipe/tree/main/dapo/), [DrGRPO](https://github.com/verl-project/verl-recipe/tree/main/drgrpo), [KL_Cov & Clip_Cov](https://github.com/verl-project/verl-recipe/tree/main/entropy) etc. | ||
| - Support model-based reward and function-based reward (verifiable reward) for math, [coding](https://github.com/volcengine/verl-recipe/tree/main/dapo), etc | ||
| - Support model-based reward and function-based reward (verifiable reward) for math, [coding](https://github.com/verl-project/verl-recipe/tree/main/dapo), etc |
Contributor
| keep chat history as messages. So user may expect that we should use the chat completion api in multi-turn rollout. | ||
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| But based on our recent experience on single-turn training on DAPO and multi-turn training on `retool <https://github.com/volcengine/verl-recipe/tree/main/retool>`_, | ||
| But based on our recent experience on single-turn training on DAPO and multi-turn training on `retool <https://github.com/verl-project/verl-recipe/tree/main/retool>`_, |
Contributor
| - :doc:`Agentic RL Training<../start/agentic_rl>`: Quick start agentic RL training with gsm8k dataset. | ||
| - `LangGraph MathExpression <https://github.com/volcengine/verl-recipe/tree/main/langgraph_agent/example>`_: Demonstrate how to use LangGraph to build agent loop. | ||
| - `Retool <https://github.com/volcengine/verl-recipe/tree/main/retool>`_: End-to-end retool paper reproduction using tool agent. | ||
| - `LangGraph MathExpression <https://github.com/verl-project/verl-recipe/tree/main/langgraph_agent/example>`_: Demonstrate how to use LangGraph to build agent loop. |
Contributor
| - `LangGraph MathExpression <https://github.com/volcengine/verl-recipe/tree/main/langgraph_agent/example>`_: Demonstrate how to use LangGraph to build agent loop. | ||
| - `Retool <https://github.com/volcengine/verl-recipe/tree/main/retool>`_: End-to-end retool paper reproduction using tool agent. | ||
| - `LangGraph MathExpression <https://github.com/verl-project/verl-recipe/tree/main/langgraph_agent/example>`_: Demonstrate how to use LangGraph to build agent loop. | ||
| - `Retool <https://github.com/verl-project/verl-recipe/tree/main/retool>`_: End-to-end retool paper reproduction using tool agent. |
Contributor
| | NVIDIA GPU | Qwen/Qwen2-7B-Instruct | GRPO (Megatron) | 89.6 | [log](https://github.com/eric-haibin-lin/verl-data/blob/experiments/gsm8k/qwen2-7b_math_megatron.log) | | ||
| | NVIDIA GPU | Qwen/Qwen2.5-7B-Instruct | ReMax | 97 | [script](https://github.com/eric-haibin-lin/verl/blob/main/examples/remax_trainer/run_qwen2.5-3b_seq_balance.sh), [wandb](https://wandb.ai/liziniu1997/verl_remax_example_gsm8k/runs/vxl10pln) | | ||
| | NVIDIA GPU | Qwen/Qwen2.5-7B-Instruct | SPPO | 65.6 (MATH) | [SPPO script](https://github.com/volcengine/verl-recipe/tree/main/sppo/README.md) | | ||
| | NVIDIA GPU | Qwen/Qwen2.5-7B-Instruct | SPPO | 65.6 (MATH) | [SPPO script](https://github.com/verl-project/verl-recipe/tree/main/sppo/README.md) | |
Contributor
| | NVIDIA GPU | Mixtral-8x22B-Instruct-v0.1 | Instruct model | 83.7 | [Qwen Blog](https://qwen.ai/blog?id=qwen2.5-llm) | | ||
| | NVIDIA GPU | Mixtral-8x22B-Instruct-v0.1 | RLOO (Megatron) | 92.3 | [wandb](https://api.wandb.ai/links/ppo_dev/sbuiuf2d) | | ||
| | NVIDIA GPU | Qwen/Qwen2.5-7B-Instruct | SPIN | 92 | [script](https://github.com/volcengine/verl-recipe/tree/main/spin/README.md) | | ||
| | NVIDIA GPU | Qwen/Qwen2.5-7B-Instruct | SPIN | 92 | [script](https://github.com/verl-project/verl-recipe/tree/main/spin/README.md) | |
Contributor
| Most experiments in the paper, including the best-performant one, are run without Overlong Filtering because it's somehow overlapping with Overlong Reward Shaping in terms of properly learning from the longest outputs. So we don't implement it here. | ||
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| ### What's the difference between [the `recipe/dapo` directory in the `main` branch](https://github.com/volcengine/verl-recipe/tree/main/dapo) and the [`recipe/dapo` branch](https://github.com/verl-project/verl-recipe/tree/main/dapo/recipe/dapo)? | ||
| ### What's the difference between [the `recipe/dapo` directory in the `main` branch](https://github.com/verl-project/verl-recipe/tree/main/dapo) and the [`recipe/dapo` branch](https://github.com/verl-project/verl-recipe/tree/main/dapo/recipe/dapo)? |
Contributor
| [The `recipe/dapo` branch](https://github.com/verl-project/verl-recipe/tree/main/dapo/recipe/dapo) is for **as-is reproduction** and thus won't be updated with new features. | ||
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| [The `recipe/dapo` directory in the `main` branch](https://github.com/volcengine/verl-recipe/tree/main/dapo) works as an example of how to extend the latest `verl` to implement an algorithm recipe, which will be maintained with new features. | ||
| [The `recipe/dapo` directory in the `main` branch](https://github.com/verl-project/verl-recipe/tree/main/dapo) works as an example of how to extend the latest `verl` to implement an algorithm recipe, which will be maintained with new features. |
Contributor
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What does this PR do?
The verl-recipe doesn't seem to automatically redirect from veocengine to verl-project, so the links need to be updated.
Checklist Before Starting
[{modules}] {type}: {description}(This will be checked by the CI){modules}includefsdp,megatron,veomni,sglang,vllm,rollout,trainer,ci,training_utils,recipe,hardware,deployment,ray,worker,single_controller,misc,perf,model,algo,env,tool,ckpt,doc,data,cfg,reward,like[megatron, fsdp, doc]{type}is infeat,fix,refactor,chore,test[BREAKING]to the beginning of the title.[BREAKING][fsdp, megatron] feat: dynamic batchingTest
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# Add code snippet or script demonstrating how to use thisDesign & Code Changes
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Please check all the following items before requesting a review, otherwise the reviewer might deprioritize this PR for review.
pre-commit install && pre-commit run --all-files --show-diff-on-failure --color=alwaysci-requestchannel in theverlSlack workspace. (If not accessible, please try the Feishu group (飞书群).)recipesubmodule, please also update the reference to the submodule commit viagit submodule update --remoteorcd recipe && git pull origin main.