license, library_name, pipeline_tag, tags
| license | library_name | pipeline_tag | tags | |||
|---|---|---|---|---|---|---|
| apache-2.0 | transformers | text-generation |
|
qwen3-8b-physics-grpo
Fine-tuned from Qwen/Qwen3-8B 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 |
|---|---|---|---|
| 75.55% | 90 | 75.00% | 100 |
| step | mean@16 |
|---|---|
| 10 | 60.47% |
| 20 | 62.03% |
| 30 | 64.92% |
| 40 | 65.16% |
| 50 | 69.38% |
| 60 | 71.72% |
| 70 | 72.42% |
| 80 | 72.97% |
| 90 | 75.55% |
| 100 | 75.00% |
Files included with this repo:
metrics.json: parsed validation summaryeval_mean16.csv: step-level validation curve dataeval_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-Qwen3-8B-mbs8-train64-rollout8-lr1e-6-vllm0.8
W&B run: run-20260630_144559-s6sllh44
This upload uses global_step_100/actor converted from VERL FSDP shards to Hugging Face format.