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burtenshaw
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Model Details
Model Provider
burtenshaw
Model Tree
Base
Qwen/Qwen3-0.6B
Adapter
this model
Input Modalities
Text
Output Modalities
Text
Supported Functionality
Dedicated Endpoints
Container
Same Inspect MBPP evaluation command, seed, sampling, and JSON extraction were used for base and adapter.
| Model | Inspect MBPP extracted accuracy | stderr | Eval Job |
|---|---|---|---|
Qwen/Qwen3-0.6B | 0.2607003891050584 | 0.027438546123673805 | 6a3564cc3093dba73ce2a4d1 |
Qwen/Qwen3-0.6B + this adapter | 0.3852140077821012 | 0.030415365154196253 | 6a3567c93093dba73ce2a55d |
Absolute gain: +0.1245136186770428.
Note: the temporary evaluation summary script collapsed duplicate Inspect metric names and retained the final MBPP reducer value. The base and adapter were compared with the same extraction protocol.
SFTTrainer with completion-only loss and PEFT LoRA.Qwen/Qwen3-0.6B at commit c1899de289a04d12100db370d81485cdf75e47ca.google-research-datasets/mbpp, sanitized config, train split, revision 4bb6404fdc6cacfda99d4ac4205087b89d32030c.eval_loss (0.7686 at step 25).6a3564dd953ed90bfb944aca.This adapter is a small MBPP format-recovery experiment, not a general coding model. It should be evaluated on any downstream coding benchmark before use.