tinker-rl-bench-cross_tool_qwen3-32b – AI Model by arvindcr4 | AlphaNeural AI

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tinker-rl-bench-cross_tool_qwen3-32b

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tinker-rl-bench

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cross_tool_qwen3-32b

GRPO experiment from TinkerRL-Bench world-class experiment suite.

Training Details

Base model: Qwen/Qwen3-32B
Method: GRPO (Group Relative Policy Optimization)
Platform: Tinker API v0.18.1
Task: tool_use
Seed: 42
LoRA rank: 32
Learning rate: 3e-05
Group size: 8
Steps: 30

Results

First-5 avg reward: 0.0%
Last-10 avg reward: 0.0%
Peak reward: 0.0%
Zero-loss steps: 100%
Tinker Run ID: 73ff186a-d8e3-50c3-afb8-2b863cd09579:train:0

Reward Trace

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]

Citation

bibtex

@misc{tinker-rl-bench-2026,
  title={TinkerRL-Bench: A Unified Benchmark for RL Post-Training},
  author={Arvind C R and Sandhya Jeyaraj and Madhu Kumara L and Mohammad Rafi and Dhruva N Murthy and Arumugam K},
  year={2026},
  url={https://github.com/arvindcr4/tinker-rl-lab}
}