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README.md
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---
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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tags:
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- agent
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- grpo
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- multi-turn-rl
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---
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# Qwen 2.5 0.5B – Calculator Agent
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This is a fine-tuned version of [Qwen 2.5 0.5B Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) trained to use a calculator tool through multi-turn reinforcement learning with GRPO.
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A much more performant 3B model was also trained and can be found here.
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**[This Github repo](https://github.com/Danau5tin/calculator_agent_rl) shows in depth training run process details**
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---
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## 🔧 Model Description
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The Qwen 2.5 0.5B model was adapted to interface with a recursive calculator environment that supports addition, subtraction, multiplication, and division.
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The agent generates structured tool calls in XML and YAML format, which are then executed by the calculator.
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After receiving the computed result from the tool, it formulates a final human-readable response.
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---
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## ✅ Key Achievements
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- **Training Method**: GRPO, using a hybrid reward signal combining LLM-as-a-judge feedback and programmatic verification.
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- **Evaluation Accuracy**:
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- Before RL: **0.6%**
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- After RL: **34%**
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- **Absolute Gain: +33.4 pts**
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- **Training Cost**: ~$18 (~£13.47) on 8x RTX6000 Ada GPUs
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- **Total Training Time**: ~3 hours
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---
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## 🧪 Evaluation Dataset
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The evaluation dataset consists of synthetically generated arithmetic problems designed to be difficult for humans to solve without a calculator. Questions include nested operations and real-world phrasing diversity.
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[Download the eval dataset](https://github.com/Danau5tin/agentic_environments/blob/qwen/examples/calculator_agent/datasets/basic_calculations_eval.csv)
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---
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## 🛠️ Usage Instructions
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### Requirements
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- Transformers or vLLM for inference
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- Flash Attention recommended for speed
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- For training/RL: see full setup in [GitHub repo](https://github.com/Dan-AiTuning/calculator_agent_rl)
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### Example Input:
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```text
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What's the sum of 987 times 654, and 987 divided by the total of 321 and 11?
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```
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### Expected Output:
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```xml
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<calculator>
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operation: add
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operands:
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- operation: multiply
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operands:
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- 987
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- 654
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- operation: divide
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operands:
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- 987
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- operation: add
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operands:
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- 321
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- 11
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</calculator>
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```
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This output must be passed to the environment to be parsed & calculated. Example in python [here](https://github.com/Danau5tin/calculator_agent_rl/tree/main/src/environment/)
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The output from the environment should be provided to model as:
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```xml
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<output>
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{tool output}
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</output>
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```
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Then the model will generate it's final respoonse:
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```text
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The result of the calculation is 645,500.97
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```
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---
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## 📬 License and Attribution
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- Base model: [Qwen 2.5 0.5B Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)
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- Fine-tuned by: Dan Austin
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- Repository: [GitHub Project](https://github.com/Dan-AiTuning/calculator_agent_rl)
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## 🧠 Training Framework Acknowledgement
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This model was trained using parts of the [Verifiers](https://github.com/willccbb/verifiers) framework for structured reinforcement learning. If you use this model or build upon this work, please consider citing:
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@article{brown2025verifiers,
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title={Verifiers: Reinforcement Learning with LLMs in Verifiable Environments},
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author={Brown, William},
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year={2025}
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}
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