d12 SFT (1 epoch, ~612 steps)
CompletedUUID:357a1fe5-5586-433a-ad80-ca25789e0533
SFT on d12 pretrain checkpoint
Pretrain source: d12 H100 SSSL final (val_bpb=0.854, step 2205)
Config:
- Default SFT mixture: SmolTalk 460K + MMLU×3 + GSM8K×4 + Identity×2 + Spelling 280K = ~1.07M rows
- num_iterations=700 (cap; epoch-based stopping at ~612 steps)
- device_batch_size=32, total_batch_size=524288 (inherited from pretrain)
- upload_checkpoint=1 for downstream RL
Expected: ~15 min on 1×H100, ~$3-5
Status: COMPLETED
Results:
- 88 optimizer steps (1 full epoch), 1.24 min training
- val_bpb: 1.94 → 0.5714 (pretrain was 0.854)
- loss: 3.30 → 1.76
- MFU: 42%, step_time: ~0.96s, peak_mem: 28.8GB
- Checkpoint uploaded to MLflow ✅
- Actual cost: $1.79 (estimated $13.94)
Observations:
- Full epoch = 88 optimizer steps = ~700 dataloader yields
- num_iterations=700 was exactly right as a cap
- LR warmdown completed normally (lrm 1.0 → ~0)
Finance
Fundings at snapshot$15.40
Individual funding and transaction records are not included in the public archive.
Configuration
- Version
- master → 6db4c817bdab18684aa4c2bafd671c1c3a968b5a
- Image
- ghcr.io/mlpatron/mlpatron-nanochat:latest→ ghcr.io/mlpatron/mlpatron-nanochat@sha256:a142e86efdcd41e0355e70d46c341cbf9a86b2da9448459009d7b5e8209ffa61
- Entrypoint
- h100_d12_sft
- Resources
- NVIDIA H100 80GB × 1·a3-highgpu-1g (26 vCPU / 234 GiB)
- Parameters
- num_iterations=700(dryrun: 20)·upload_checkpoint=1·pretrain_mlflow_run_id=25207c33abca4a8197870adec4ead007