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Model: SeongryongJung/qwen3-4b-tooluse-grpo
Source: Original Platform
2026-08-21 00:51:49 +08:00

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

qwen3-4b-tooluse-grpo

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

Validation Performance

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

best mean@16 best step final mean@16 final step
61.31% 80 60.29% 100

Validation mean@16

step mean@16
10 58.00%
20 60.11%
30 61.21%
40 60.11%
50 60.94%
60 59.28%
70 58.64%
80 61.31%
90 57.72%
100 60.29%

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/tooluse/qwen3gen-tooluse-GRPO-Qwen-Qwen3-4B-mbs8-train64-rollout8-lr1e-6-vllm0.8

W&B run: run-20260630_031808-osu8wla2

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

Description
Model synced from source: SeongryongJung/qwen3-4b-tooluse-grpo
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