basic_grpo_training
A minimal, production-ready template for GRPO training with TRL. Adapt this for your specific task by modifying: 1. Dataset loading (get_dataset function) 2. Reward functions (reward__func) 3. System prompt (SYSTEM_PROMPT) 4.…
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What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/basic-grpo-training && curl -fsSL https://doutorai.pt/data/lib/skills__basic-grpo-training.md -o .claude/skills/basic-grpo-training/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
"""
Basic GRPO Training Template
=============================
A minimal, production-ready template for GRPO training with TRL.
Adapt this for your specific task by modifying:
1. Dataset loading (get_dataset function)
2. Reward functions (reward_*_func)
3. System prompt (SYSTEM_PROMPT)
4. Hyperparameters (GRPOConfig)
"""
import torch
import re
from datasets import load_dataset, Dataset
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import LoraConfig
from trl import GRPOTrainer, GRPOConfig
# ==================== CONFIGURATION ====================
MODEL_NAME = "Qwen/Q
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