license, library_name, pipeline_tag, tags

license	library_name	pipeline_tag	tags
apache-2.0	transformers	text-generation	qwen3 reinforcement-learning grpo

qwen3-4b-physics-grpo

Fine-tuned from Qwen/Qwen3-4B with GRPO on the physics split.

Validation Performance

Metric: val-aux/sciknoweval/reward/mean@16 from 10-step validation logs.

best mean@16	best step	final mean@16	final step
62.27%	20	53.05%	100

step	mean@16
10	60.00%
20	62.27%
30	46.88%
40	52.34%
50	58.91%
60	61.80%
70	52.34%
80	56.17%
90	53.44%
100	53.05%

Files included with this repo:

• metrics.json: parsed validation summary
• eval_mean16.csv: step-level validation curve data
• eval_mean16.png: validation curve plot

Important: the uploaded weights are the final global_step_100/actor checkpoint. If best step is earlier than 100, the best validation point is reported for tracking, but the corresponding actor weights may not be retained locally.

Checkpoint source: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/physics/qwen3gen-physics-GRPO-Qwen-Qwen3-4B-mbs8-train64-rollout8-lr1e-6-vllm0.8

W&B run: run-20260629_174849-hz5zwriz

This upload uses global_step_100/actor converted from VERL FSDP shards to Hugging Face format.