ModelHub XC 24a64f98be 初始化项目,由ModelHub XC社区提供模型
Model: SeongryongJung/qwen3-4b-chemistry-rlsd-ema005
Source: Original Platform
2026-08-16 07:43:18 +08:00

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

qwen3-4b-chemistry-rlsd-ema005

Fine-tuned from Qwen/Qwen3-4B with RLSD (EMA 0.05) on the chemistry 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
73.33% 100 73.33% 100

Validation mean@16

step mean@16
10 48.57%
20 58.15%
30 63.45%
40 66.01%
50 68.48%
60 69.46%
70 71.37%
80 72.71%
90 72.50%
100 73.33%

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/chemistry/qwen3gen-chemistry-RLSD-Qwen-Qwen3-4B-mbs8-decay0-ema0.05-train64-rollout8-lr1e-6-vllm0.8

W&B run: run-20260629_142857-dv40ujse

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

Description
Model synced from source: SeongryongJung/qwen3-4b-chemistry-rlsd-ema005
Readme 13 MiB
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