d12 RL probe (15min, speed+convergence test)
Funded Job FailedUUID:e8ba9fdb-34be-43cc-bfa1-d146ecb8f0bb
RL probe run (speed + convergence data)
Source: SFT checkpoint (MLflow 2bffbfabb3024458ae2778a12f320163)
Goal: Run RL for ~15 min to measure:
- step time (how long per RL step on 1×H100)
- reward trend (is it converging?)
- extrapolate full epoch time and cost
Will be killed at 900s. This is intentional — just collecting data.
Status: funded_failed (timeout 900s)
Result: 0 training steps completed. Startup (tokenizer 60s + checkpoint 10s) + initial eval consumed entire budget. Cost: $3.34.
Fix: skip step-0 eval, longer max_time, or upload tokenizer to skip retrain.
Finance
Fundings at snapshot$7.59
Individual funding and transaction records are not included in the public archive.
Configuration
- Version
- master → 65c2c6a930c7ad4c2898d249e36dbcad823463f8
- Image
- ghcr.io/mlpatron/mlpatron-nanochat:latest→ ghcr.io/mlpatron/mlpatron-nanochat@sha256:a142e86efdcd41e0355e70d46c341cbf9a86b2da9448459009d7b5e8209ffa61
- Entrypoint
- h100_d12_chat_rl
- Resources
- NVIDIA H100 80GB × 1·a3-highgpu-1g (26 vCPU / 234 GiB)
- Parameters
- eval_every=60·num_epochs=1·save_every=60·tok_max_chars=2000000000·device_batch_size=8·examples_per_step=16·sft_mlflow_run_id=2bffbfabb3024458ae2778a12f320163·upload_checkpoint=0
- Max Time
- 0.3h(dryrun skipped)