logs/README.md

Training Logs

This directory contains output from GRPO training runs against the live DataCentricEnvironment.

Files

training.jsonl

Per-episode reward log. Each line is one training episode:

{
  "episode": 5,
  "task": "task_1_easy",
  "level": 1,
  "reward": 0.312,
  "accuracy_gain": 0.091,
  "steps_used": 11,
  "success": true,
  "curriculum_stage": "easy"
}

Field	Description
episode	Global episode counter across the training run
task	Which curriculum task was run (task_0_tutorial … task_3_hard)
level	Curriculum level (0=tutorial, 1=easy, 2=medium, 3=hard)
reward	Total episode reward from the composable rubric system [-1.0, 1.0]
accuracy_gain	Raw accuracy improvement above the episode baseline
steps_used	Number of actions taken before submit
success	Whether the agent hit the target accuracy threshold
curriculum_stage	Human-readable level label

grpo/ and sft/

TensorBoard event files. View with:

tensorboard --logdir logs/

Generating Real Logs

Run the training notebook:

train_colab.ipynb  →  Step 7 (GRPO Training)

The log is written incrementally — one line per episode — by log_episode_jsonl() in train_data_centric.py. After training, commit the full logs/training.jsonl to replace this sample file.

Note: The training.jsonl in this directory is a sample showing the log format and expected learning trajectory. Replace it with your actual run output after training completes.