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cuichenx merged 1 commit into from
Mar 5, 2026
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Add W&B report to GPT-OSS Examples #2651

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9 changes: 3 additions & 6 deletions examples/models/gpt_oss/README.md
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Expand Up @@ -94,19 +94,16 @@ cfg.dataset.path_to_cache = "/path/to/cache"

Preprocess your data using the [DCLM data preprocessing tutorial](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/tutorials/data/dclm).

W&B report coming soon.

### Supervised Fine-Tuning (SFT)

See the [slurm_sft.sh](slurm_sft.sh) script for full parameter fine-tuning. The recipe uses sequence packing by default.

W&B report coming soon.

### Parameter-Efficient Fine-Tuning (PEFT) with LoRA

See the [slurm_peft.sh](slurm_peft.sh) script for LoRA fine-tuning. The recipe uses sequence packing by default.

W&B report coming soon.
### Expected Training Dynamics
We provide a [Weights & Biases report](https://api.wandb.ai/links/nvidia-nemo-fw-public/xs3rmk4t) for the expected loss curves and grad norms.

## Inference

Expand All @@ -130,4 +127,4 @@ TP×PP×EP must equal `--nproc_per_node`. Adjust parallelism to match your SFT r

## Evaluation

Coming soon.
Coming soon.