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baseten
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Model Details
Model Provider
baseten
Model Tree
Qwen/Qwen3.8-27B
Input Modalities
Output Modalities
Supported Functionality
The plots below show the recorded training trajectory and verified validation results for this environment. Training uses a running average of 10 with the original series visible; validation is unsmoothed. No training, evaluation, or interpolation was performed to create these images.
Training metric: rollout/raw_reward against rollout/step. Validation metric: eval/validation against completed optimizer updates.
Both published experts contain 100 optimizer updates. Their training curves use the full native axis 0–99; validation includes every scheduled point from 0 through 100. Restored runs retain their original checkpoint ancestry and exclude abandoned branches.
The overlay compares these recorded trajectories; it does not establish an optimizer-only causal effect. See each model’s settings and limitations above.
Adam is blue; SGD is pink.
Chart provenance and settings. The original weight commit is fe0683270cd202dc5d3dd25112719187642251dd.