d12 RL probe (15min, speed+convergence test)

Funded Job Failed
UUID:e8ba9fdb-34be-43cc-bfa1-d146ecb8f0bb
Tao Linvia🐎 pentiumCreated 207 days agoUpdated 207 days ago

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.

1
Dryrun JobSkipped
Funding 
4
Done 

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)