ModelHub XC d95aa071a5 初始化项目,由ModelHub XC社区提供模型
Model: SeongryongJung/qwen3-4b-material-grpo
Source: Original Platform
2026-08-11 00:45:12 +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-material-grpo

Fine-tuned from Qwen/Qwen3-4B with GRPO on the material 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
78.32% 40 66.16% 100

Validation mean@16

step mean@16
10 67.75%
20 72.54%
30 77.13%
40 78.32%
50 58.78%
60 61.64%
70 70.01%
80 66.82%
90 67.89%
100 66.16%

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

W&B run: run-20260630_003605-tfw9z9dp

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

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