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xuzishan
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xuzishan
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envscaler_non_conv_rl_grpo_32gpu_20260515_225741EnvScaler-Qwen3-8B-SFTThe run completed normally after 64 recorded steps (0 through 63). It was an early experiment and was not referenced by the formal BFCL, VitaBench, or Tau2 evaluation workflows found during the archive audit. It should therefore not be interpreted as a benchmark-selected release.
training_metrics.jsonl contains only numeric per-step metrics extracted from
the driver log. Prompts, tool arguments, environment content, and credential
fields were deliberately excluded. training_summary.json provides the main
aggregate values:
These rollout scores are online training signals, not held-out benchmark results. A higher single-step value does not establish that the corresponding checkpoint is better than the terminal checkpoint.
The converter reconstructed and validated all 399 expected Qwen3 parameters
from the two Megatron tensor-parallel model shards. It checked the complete key
set, tensor shapes, and dtypes before writing the safetensors files. The result
was then loaded successfully with AutoModelForCausalLM.from_pretrained and
reported 8,190,735,360 parameters. The tokenizer was also loaded successfully.
Optimizer state, RNG state, raw driver logs, and the other intermediate Megatron checkpoints are intentionally not included.