diff --git "a/run-output/training/train_grpo.executed.ipynb" "b/run-output/training/train_grpo.executed.ipynb" --- "a/run-output/training/train_grpo.executed.ipynb" +++ "b/run-output/training/train_grpo.executed.ipynb" @@ -2,13 +2,13 @@ "cells": [ { "cell_type": "markdown", - "id": "7fb6ceb6", + "id": "f4537133", "metadata": { "papermill": { - "duration": 0.003387, - "end_time": "2026-04-26T00:59:12.340616+00:00", + "duration": 0.003321, + "end_time": "2026-04-26T02:02:05.134842+00:00", "exception": false, - "start_time": "2026-04-26T00:59:12.337229+00:00", + "start_time": "2026-04-26T02:02:05.131521+00:00", "status": "completed" }, "tags": [] @@ -36,19 +36,19 @@ { "cell_type": "code", "execution_count": 1, - "id": "f7c249c4", + "id": "d8442d3d", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:12.346783Z", - "iopub.status.busy": "2026-04-26T00:59:12.346590Z", - "iopub.status.idle": "2026-04-26T00:59:45.329611Z", - "shell.execute_reply": "2026-04-26T00:59:45.328853Z" + "iopub.execute_input": "2026-04-26T02:02:05.141436Z", + "iopub.status.busy": "2026-04-26T02:02:05.141110Z", + "iopub.status.idle": "2026-04-26T02:02:37.694235Z", + "shell.execute_reply": "2026-04-26T02:02:37.693464Z" }, "papermill": { - "duration": 32.98719, - "end_time": "2026-04-26T00:59:45.330490+00:00", + "duration": 32.557268, + "end_time": "2026-04-26T02:02:37.694972+00:00", "exception": false, - "start_time": "2026-04-26T00:59:12.343300+00:00", + "start_time": "2026-04-26T02:02:05.137704+00:00", "status": "completed" }, "tags": [] @@ -108,12 +108,12 @@ " \u001b[31m \u001b[0m torch.__version__ = 2.5.1+cu124\r\n", " \u001b[31m \u001b[0m \r\n", " \u001b[31m \u001b[0m \r\n", - " \u001b[31m \u001b[0m /tmp/pip-install-ldsack7d/flash-attn_09e25160e4bf4bbcbdb088cf5fe85bc6/setup.py:106: UserWarning: flash_attn was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.\r\n", + " \u001b[31m \u001b[0m /tmp/pip-install-87b8txu_/flash-attn_2d1956325c25479593038298b9d4244c/setup.py:106: UserWarning: flash_attn was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.\r\n", " \u001b[31m \u001b[0m warnings.warn(\r\n", " \u001b[31m \u001b[0m Traceback (most recent call last):\r\n", " \u001b[31m \u001b[0m File \"\", line 2, in \r\n", " \u001b[31m \u001b[0m File \"\", line 34, in \r\n", - " \u001b[31m \u001b[0m File \"/tmp/pip-install-ldsack7d/flash-attn_09e25160e4bf4bbcbdb088cf5fe85bc6/setup.py\", line 227, in \r\n", + " \u001b[31m \u001b[0m File \"/tmp/pip-install-87b8txu_/flash-attn_2d1956325c25479593038298b9d4244c/setup.py\", line 227, in \r\n", " \u001b[31m \u001b[0m CUDAExtension(\r\n", " \u001b[31m \u001b[0m File \"/opt/conda/lib/python3.11/site-packages/torch/utils/cpp_extension.py\", line 1078, in CUDAExtension\r\n", " \u001b[31m \u001b[0m library_dirs += library_paths(cuda=True)\r\n", @@ -157,19 +157,19 @@ { "cell_type": "code", "execution_count": 2, - "id": "730e7827", + "id": "d3f4ef7e", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:45.337978Z", - "iopub.status.busy": "2026-04-26T00:59:45.337763Z", - "iopub.status.idle": "2026-04-26T00:59:45.347380Z", - "shell.execute_reply": "2026-04-26T00:59:45.346713Z" + "iopub.execute_input": "2026-04-26T02:02:37.702709Z", + "iopub.status.busy": "2026-04-26T02:02:37.702498Z", + "iopub.status.idle": "2026-04-26T02:02:37.713091Z", + "shell.execute_reply": "2026-04-26T02:02:37.712133Z" }, "papermill": { - "duration": 0.013887, - "end_time": "2026-04-26T00:59:45.347864+00:00", + "duration": 0.01532, + "end_time": "2026-04-26T02:02:37.713686+00:00", "exception": false, - "start_time": "2026-04-26T00:59:45.333977+00:00", + "start_time": "2026-04-26T02:02:37.698366+00:00", "status": "completed" }, "tags": [] @@ -180,10 +180,16 @@ "output_type": "stream", "text": [ "Mode: local\n", - "Repo root: /work\n", + "Repo root: /work\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Working dir: /work\n", "Branch: main\n", - "Commit: f7b5241\n", + "Commit: 3326716\n", "Plots dir: /work/plots\n" ] } @@ -268,19 +274,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "a3fdb3e9", + "id": "fe6125e0", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:45.354510Z", - "iopub.status.busy": "2026-04-26T00:59:45.354359Z", - "iopub.status.idle": "2026-04-26T00:59:49.845266Z", - "shell.execute_reply": "2026-04-26T00:59:49.844498Z" + "iopub.execute_input": "2026-04-26T02:02:37.737439Z", + "iopub.status.busy": "2026-04-26T02:02:37.737260Z", + "iopub.status.idle": "2026-04-26T02:02:42.451104Z", + "shell.execute_reply": "2026-04-26T02:02:42.450188Z" }, "papermill": { - "duration": 4.495027, - "end_time": "2026-04-26T00:59:49.845862+00:00", + "duration": 4.734828, + "end_time": "2026-04-26T02:02:42.451723+00:00", "exception": false, - "start_time": "2026-04-26T00:59:45.350835+00:00", + "start_time": "2026-04-26T02:02:37.716895+00:00", "status": "completed" }, "tags": [] @@ -353,13 +359,13 @@ }, { "cell_type": "markdown", - "id": "0b65ccf3", + "id": "728c7d46", "metadata": { "papermill": { - "duration": 0.003827, - "end_time": "2026-04-26T00:59:49.864630+00:00", + "duration": 0.004136, + "end_time": "2026-04-26T02:02:42.459466+00:00", "exception": false, - "start_time": "2026-04-26T00:59:49.860803+00:00", + "start_time": "2026-04-26T02:02:42.455330+00:00", "status": "completed" }, "tags": [] @@ -373,19 +379,19 @@ { "cell_type": "code", "execution_count": 4, - "id": "b815e3ce", + "id": "24bf1d51", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:49.871675Z", - "iopub.status.busy": "2026-04-26T00:59:49.871259Z", - "iopub.status.idle": "2026-04-26T00:59:49.880275Z", - "shell.execute_reply": "2026-04-26T00:59:49.879588Z" + "iopub.execute_input": "2026-04-26T02:02:42.466758Z", + "iopub.status.busy": "2026-04-26T02:02:42.466330Z", + "iopub.status.idle": "2026-04-26T02:02:42.475772Z", + "shell.execute_reply": "2026-04-26T02:02:42.475081Z" }, "papermill": { - "duration": 0.013255, - "end_time": "2026-04-26T00:59:49.880896+00:00", + "duration": 0.013811, + "end_time": "2026-04-26T02:02:42.476327+00:00", "exception": false, - "start_time": "2026-04-26T00:59:49.867641+00:00", + "start_time": "2026-04-26T02:02:42.462516+00:00", "status": "completed" }, "tags": [] @@ -479,19 +485,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "88816683", + "id": "91d9ba58", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:49.887859Z", - "iopub.status.busy": "2026-04-26T00:59:49.887678Z", - "iopub.status.idle": "2026-04-26T00:59:49.950323Z", - "shell.execute_reply": "2026-04-26T00:59:49.949658Z" + "iopub.execute_input": "2026-04-26T02:02:42.483648Z", + "iopub.status.busy": "2026-04-26T02:02:42.483481Z", + "iopub.status.idle": "2026-04-26T02:02:42.547839Z", + "shell.execute_reply": "2026-04-26T02:02:42.546919Z" }, "papermill": { - "duration": 0.066873, - "end_time": "2026-04-26T00:59:49.950886+00:00", + "duration": 0.06886, + "end_time": "2026-04-26T02:02:42.548466+00:00", "exception": false, - "start_time": "2026-04-26T00:59:49.884013+00:00", + "start_time": "2026-04-26T02:02:42.479606+00:00", "status": "completed" }, "tags": [] @@ -574,19 +580,19 @@ { "cell_type": "code", "execution_count": 6, - "id": "6ac4e9b0", + "id": "eec8ae44", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:49.957810Z", - "iopub.status.busy": "2026-04-26T00:59:49.957642Z", - "iopub.status.idle": "2026-04-26T00:59:50.338510Z", - "shell.execute_reply": "2026-04-26T00:59:50.337742Z" + "iopub.execute_input": "2026-04-26T02:02:42.559313Z", + "iopub.status.busy": "2026-04-26T02:02:42.559098Z", + "iopub.status.idle": "2026-04-26T02:02:42.933430Z", + "shell.execute_reply": "2026-04-26T02:02:42.932659Z" }, "papermill": { - "duration": 0.385016, - "end_time": "2026-04-26T00:59:50.339004+00:00", + "duration": 0.38224, + "end_time": "2026-04-26T02:02:42.934054+00:00", "exception": false, - "start_time": "2026-04-26T00:59:49.953988+00:00", + "start_time": "2026-04-26T02:02:42.551814+00:00", "status": "completed" }, "tags": [] @@ -624,13 +630,13 @@ }, { "cell_type": "markdown", - "id": "24956bd9", + "id": "c60f5353", "metadata": { "papermill": { - "duration": 0.003427, - "end_time": "2026-04-26T00:59:50.346130+00:00", + "duration": 0.003584, + "end_time": "2026-04-26T02:02:42.941665+00:00", "exception": false, - "start_time": "2026-04-26T00:59:50.342703+00:00", + "start_time": "2026-04-26T02:02:42.938081+00:00", "status": "completed" }, "tags": [] @@ -644,19 +650,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "65d9d78e", + "id": "ddd31805", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T00:59:50.353964Z", - "iopub.status.busy": "2026-04-26T00:59:50.353735Z", - "iopub.status.idle": "2026-04-26T01:00:02.841745Z", - "shell.execute_reply": "2026-04-26T01:00:02.840967Z" + "iopub.execute_input": "2026-04-26T02:02:42.949772Z", + "iopub.status.busy": "2026-04-26T02:02:42.949589Z", + "iopub.status.idle": "2026-04-26T02:02:53.853379Z", + "shell.execute_reply": "2026-04-26T02:02:53.852585Z" }, "papermill": { - "duration": 12.492696, - "end_time": "2026-04-26T01:00:02.842283+00:00", + "duration": 10.908904, + "end_time": "2026-04-26T02:02:53.854187+00:00", "exception": false, - "start_time": "2026-04-26T00:59:50.349587+00:00", + "start_time": "2026-04-26T02:02:42.945283+00:00", "status": "completed" }, "tags": [] @@ -665,7 +671,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "28120ddaec6a4dc98af1d11cc2c1363d", + "model_id": "d53c24074ea64be8a1ac51b725a0833c", "version_major": 2, "version_minor": 0 }, @@ -679,7 +685,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e580c60c036540b1a405210346088404", + "model_id": "975b2e0da9304fff93b077618ccf7acb", "version_major": 2, "version_minor": 0 }, @@ -693,7 +699,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b39e87fe3778477f909c1afeca1bf519", + "model_id": "92f33008e1a545b1bb207dda5fddd20e", "version_major": 2, "version_minor": 0 }, @@ -707,7 +713,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "22fb3099714f4fc0a7263469a5d37779", + "model_id": "c83cebc77cb74d9faa428e93e3be6d5e", "version_major": 2, "version_minor": 0 }, @@ -721,7 +727,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7dedf106768641e284dfe3a69d3681b6", + "model_id": "4c8b22cd47b544168c7c277e6bb6be87", "version_major": 2, "version_minor": 0 }, @@ -742,7 +748,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ba498a2526854a97b4ad6131d4b476cf", + "model_id": "edc30956fdcd4bbfb11f786a967d97ff", "version_major": 2, "version_minor": 0 }, @@ -756,7 +762,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4029d6b81ac34c178bfd4238a297046c", + "model_id": "99c433e7a29f47d2b28b1ebcfdc6edbe", "version_major": 2, "version_minor": 0 }, @@ -770,7 +776,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cf10a5c9efc5488f9bc3a88e14f8d75d", + "model_id": "f181062b48ee4eb994980f29a3f21318", "version_major": 2, "version_minor": 0 }, @@ -784,7 +790,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "71fbda7384cd4d59abb1205d66c5a6dd", + "model_id": "5a477072285f4499ba911f47cab021e3", "version_major": 2, "version_minor": 0 }, @@ -798,7 +804,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cca2d67214454b03bd25edbcf9b3f520", + "model_id": "db1990343b08429d825646162a00ff1a", "version_major": 2, "version_minor": 0 }, @@ -866,19 +872,19 @@ { "cell_type": "code", "execution_count": 8, - "id": "b7cd06a8", + "id": "3f8ac264", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:00:02.867320Z", - "iopub.status.busy": "2026-04-26T01:00:02.866901Z", - "iopub.status.idle": "2026-04-26T01:00:02.885333Z", - "shell.execute_reply": "2026-04-26T01:00:02.884669Z" + "iopub.execute_input": "2026-04-26T02:02:53.877434Z", + "iopub.status.busy": "2026-04-26T02:02:53.877027Z", + "iopub.status.idle": "2026-04-26T02:02:53.895931Z", + "shell.execute_reply": "2026-04-26T02:02:53.895153Z" }, "papermill": { - "duration": 0.037452, - "end_time": "2026-04-26T01:00:02.885835+00:00", + "duration": 0.035872, + "end_time": "2026-04-26T02:02:53.896452+00:00", "exception": false, - "start_time": "2026-04-26T01:00:02.848383+00:00", + "start_time": "2026-04-26T02:02:53.860580+00:00", "status": "completed" }, "tags": [] @@ -894,7 +900,7 @@ ], "source": [ "# Cell 8: LLM agent functions\n", - "SYSTEM_PROMPT = textwrap.dedent(\"\"\"\\\n", + "_SYSTEM_BASE = textwrap.dedent(\"\"\"\\\n", "You are an Instagram content strategy agent. Each step is one day.\n", "You manage a creator account over a 15-day cycle.\n", "\n", @@ -933,6 +939,12 @@ "- topic: free-form string\n", "- empty scheduled_actions = full day rest\"\"\")\n", "\n", + "SYSTEM_PROMPT = _SYSTEM_BASE + textwrap.dedent(\"\"\"\n", + "\n", + "HINT: schedule posts during/just before the audience_active_hours window — that is when your target users are online.\"\"\")\n", + "SYSTEM_PROMPT_EVAL = SYSTEM_PROMPT\n", + "SYSTEM_PROMPT_TRAIN = SYSTEM_PROMPT\n", + "\n", "\n", "def format_obs(obs):\n", " days = [\"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\", \"Sun\"]\n", @@ -943,6 +955,9 @@ " signals_str = (f\"Signals: watch={signals.watch_time:.3f} \"\n", " f\"sends={signals.sends_per_reach:.3f} \"\n", " f\"saves={signals.saves:.3f}\\n\")\n", + " meta = getattr(obs, \"metadata\", None) or {}\n", + " aud = meta.get(\"audience_active_hours\") or []\n", + " comp = meta.get(\"competitor_recent_post_hours\") or []\n", " tool_str = \"\"\n", " for tr in getattr(obs, \"tool_results\", []):\n", " if tr.success:\n", @@ -953,8 +968,10 @@ " f\"Energy: {obs.creator_energy:.2f} | Followers: {obs.follower_count}\\n\"\n", " f\"Engagement: {obs.engagement_rate:.3f} | Queue: {obs.content_queue_size}\\n\"\n", " f\"{signals_str}\"\n", + " f\"audience_active_hours: {aud}\\n\"\n", + " f\"competitor_recent_post_hours: {comp}\\n\"\n", " f\"Tool results:\\n{tool_str}\"\n", - " f\"Plan your actions (JSON only):\")\n", + " f\"Plan today's actions (JSON only):\")\n", "\n", "\n", "def is_well_formed_response(text):\n", @@ -1021,35 +1038,37 @@ " return torch.device(\"cpu\")\n", "\n", "\n", - "def _build_chat(history, prompt):\n", - " msgs = [{\"role\": \"system\", \"content\": SYSTEM_PROMPT}]\n", - " msgs.extend(history[-14:])\n", - " msgs.append({\"role\": \"user\", \"content\": prompt})\n", - " return msgs\n", + "def _build_chat(system, prompt):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system},\n", + " {\"role\": \"user\", \"content\": prompt},\n", + " ]\n", "\n", "\n", - "def _batched_generate(mdl, tok, prompts, temperature=0.7, max_new_tokens=512):\n", + "def _batched_generate(mdl, tok, prompts, eval=False, max_new_tokens=512):\n", " enc = tok(prompts, return_tensors=\"pt\", padding=True, truncation=False).to(_infer_model_device(mdl))\n", + " gen_kwargs = dict(max_new_tokens=max_new_tokens, pad_token_id=tok.pad_token_id)\n", + " if eval:\n", + " gen_kwargs.update(do_sample=False)\n", + " else:\n", + " gen_kwargs.update(do_sample=True, temperature=1.0, top_p=0.95)\n", " with torch.no_grad():\n", - " out = mdl.generate(\n", - " **enc, max_new_tokens=max_new_tokens, temperature=temperature,\n", - " do_sample=True, top_p=0.9, pad_token_id=tok.pad_token_id,\n", - " )\n", + " out = mdl.generate(**enc, **gen_kwargs)\n", " resps = tok.batch_decode(out[:, enc[\"input_ids\"].shape[1]:], skip_special_tokens=True)\n", " return resps, enc[\"input_ids\"].shape[1]\n", "\n", "\n", - "def run_llm_episodes_batched(mdl, tok, tasks_seeds, verbose=True):\n", + "def run_llm_episodes_batched(mdl, tok, tasks_seeds, verbose=True, eval=False, system=None):\n", " \"\"\"Run N episodes in parallel. tasks_seeds: list of (task, seed). One batched generate per day.\"\"\"\n", + " sys_prompt = system or (SYSTEM_PROMPT_EVAL if eval else SYSTEM_PROMPT_TRAIN)\n", " n = len(tasks_seeds)\n", " envs = [ViraltestEnvironment() for _ in range(n)]\n", " obss = [envs[i].reset(task=t, seed=s) for i, (t, s) in enumerate(tasks_seeds)]\n", - " histories = [[] for _ in range(n)]\n", " rewards = [[] for _ in range(n)]\n", " energies = [[obs.creator_energy] for obs in obss]\n", " pairs = [[] for _ in range(n)]\n", " done_mask = [obs.done for obs in obss]\n", - " rest_resp = '{\"scheduled_actions\": []}'\n", + " rest_action = ViraltestAction(scheduled_actions=[])\n", "\n", " for day in range(1, TASK_HORIZON + 1):\n", " active = [i for i in range(n) if not done_mask[i] and obss[i].creator_energy > 0.25]\n", @@ -1057,33 +1076,26 @@ " if not active and not rest:\n", " break\n", "\n", - " resps_by_idx = {}\n", + " actions_by_idx = {i: rest_action for i in rest}\n", " if active:\n", " prompts = [format_obs(obss[i]) for i in active]\n", - " chats = [_build_chat(histories[i], p) for i, p in zip(active, prompts)]\n", + " chats = [_build_chat(sys_prompt, p) for p in prompts]\n", " texts = [tok.apply_chat_template(c, tokenize=False, add_generation_prompt=True) for c in chats]\n", - " resps, ptok = _batched_generate(mdl, tok, texts)\n", + " resps, ptok = _batched_generate(mdl, tok, texts, eval=eval)\n", " if verbose:\n", " print(f\" D{day:2d}: batch={len(active)} rest={len(rest)} prompt_tok={ptok}\")\n", " for j, i in enumerate(active):\n", - " resps_by_idx[i] = (resps[j], prompts[j])\n", - " for i in rest:\n", - " resps_by_idx[i] = (rest_resp, format_obs(obss[i]))\n", + " actions_by_idx[i] = parse_model_output(resps[j])\n", + " pairs[i].append({\"prompt\": prompts[j], \"response\": resps[j],\n", + " \"step\": len(rewards[i])})\n", "\n", " for i in range(n):\n", - " if done_mask[i] or i not in resps_by_idx:\n", + " if done_mask[i] or i not in actions_by_idx:\n", " continue\n", - " resp, prompt = resps_by_idx[i]\n", - " action = parse_model_output(resp)\n", - " pairs[i].append({\"prompt\": prompt, \"response\": resp})\n", - " obss[i] = envs[i].step(action)\n", + " obss[i] = envs[i].step(actions_by_idx[i])\n", " r = obss[i].reward or 0.0\n", " rewards[i].append(r)\n", " energies[i].append(obss[i].creator_energy)\n", - " histories[i].extend([\n", - " {\"role\": \"user\", \"content\": prompt},\n", - " {\"role\": \"assistant\", \"content\": resp},\n", - " ])\n", " if obss[i].done:\n", " done_mask[i] = True\n", "\n", @@ -1096,8 +1108,9 @@ " for t in reversed(range(len(rewards[i]))):\n", " G = rewards[i][t] + GAMMA * G\n", " rets[t] = G\n", - " for k, pr in enumerate(pairs[i]):\n", - " pr[\"return\"] = rets[k] if k < len(rets) else 0.0\n", + " for pr in pairs[i]:\n", + " k = pr.get(\"step\", 0)\n", + " pr[\"return\"] = rets[k] if 0 <= k < len(rets) else 0.0\n", " results.append({\n", " \"task\": task, \"seed\": seed, \"grader_score\": gs,\n", " \"total_reward\": sum(rewards[i]), \"final_energy\": obss[i].creator_energy,\n", @@ -1117,13 +1130,13 @@ }, { "cell_type": "markdown", - "id": "934c8834", + "id": "ada881fe", "metadata": { "papermill": { - "duration": 0.015722, - "end_time": "2026-04-26T01:00:02.908967+00:00", + "duration": 0.016304, + "end_time": "2026-04-26T02:02:53.917750+00:00", "exception": false, - "start_time": "2026-04-26T01:00:02.893245+00:00", + "start_time": "2026-04-26T02:02:53.901446+00:00", "status": "completed" }, "tags": [] @@ -1137,24 +1150,31 @@ { "cell_type": "code", "execution_count": 9, - "id": "6bc18bfe", + "id": "2fa16cdf", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:00:02.944540Z", - "iopub.status.busy": "2026-04-26T01:00:02.944365Z", - "iopub.status.idle": "2026-04-26T01:01:27.841820Z", - "shell.execute_reply": "2026-04-26T01:01:27.840971Z" + "iopub.execute_input": "2026-04-26T02:02:54.358915Z", + "iopub.status.busy": "2026-04-26T02:02:54.358699Z", + "iopub.status.idle": "2026-04-26T02:05:03.881949Z", + "shell.execute_reply": "2026-04-26T02:05:03.881043Z" }, "papermill": { - "duration": 84.914849, - "end_time": "2026-04-26T01:01:27.842785+00:00", + "duration": 129.530136, + "end_time": "2026-04-26T02:05:03.882670+00:00", "exception": false, - "start_time": "2026-04-26T01:00:02.927936+00:00", + "start_time": "2026-04-26T02:02:54.352534+00:00", "status": "completed" }, "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[transformers] The following generation flags are not valid and may be ignored: ['temperature', 'top_p', 'top_k']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -1167,111 +1187,111 @@ "name": "stdout", "output_type": "stream", "text": [ - " D 1: batch=3 rest=0 prompt_tok=495\n" + " D 1: batch=3 rest=0 prompt_tok=613\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 2: batch=3 rest=0 prompt_tok=706\n" + " D 2: batch=3 rest=0 prompt_tok=650\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 3: batch=3 rest=0 prompt_tok=979\n" + " D 3: batch=3 rest=0 prompt_tok=666\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 4: batch=3 rest=0 prompt_tok=1206\n" + " D 4: batch=3 rest=0 prompt_tok=662\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 5: batch=3 rest=0 prompt_tok=1422\n" + " D 5: batch=3 rest=0 prompt_tok=664\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 6: batch=3 rest=0 prompt_tok=1665\n" + " D 6: batch=3 rest=0 prompt_tok=661\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 7: batch=3 rest=0 prompt_tok=1903\n" + " D 7: batch=3 rest=0 prompt_tok=656\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 8: batch=3 rest=0 prompt_tok=2151\n" + " D 8: batch=3 rest=0 prompt_tok=654\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 9: batch=3 rest=0 prompt_tok=2256\n" + " D 9: batch=3 rest=0 prompt_tok=649\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D10: batch=3 rest=0 prompt_tok=2265\n" + " D10: batch=3 rest=0 prompt_tok=647\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D11: batch=3 rest=0 prompt_tok=2263\n" + " D11: batch=3 rest=0 prompt_tok=653\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D12: batch=3 rest=0 prompt_tok=2274\n" + " D12: batch=3 rest=0 prompt_tok=664\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D13: batch=3 rest=0 prompt_tok=2280\n" + " D13: batch=3 rest=0 prompt_tok=669\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D14: batch=3 rest=0 prompt_tok=2285\n" + " D14: batch=3 rest=0 prompt_tok=672\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D15: batch=3 rest=0 prompt_tok=2284\n", + " D15: batch=3 rest=0 prompt_tok=676\n", "\n", "============================================================\n", - "BEFORE TRAINING (took 84.9s):\n", - " monthly_engage: grader=0.5642\n", - " monthly_strategic: grader=0.5903\n", - " monthly_competitive: grader=0.8313\n" + "BEFORE TRAINING (took 129.5s):\n", + " monthly_engage: grader=0.0000\n", + " monthly_strategic: grader=0.1740\n", + " monthly_competitive: grader=0.0280\n" ] } ], @@ -1281,7 +1301,7 @@ "print(\"=\" * 60)\n", "\n", "t0 = time.time()\n", - "results = run_llm_episodes_batched(model, tokenizer, [(t, 42) for t in TASKS], verbose=True)\n", + "results = run_llm_episodes_batched(model, tokenizer, [(t, 42) for t in TASKS], verbose=True, eval=True)\n", "before_results = {r[\"task\"]: r for r in results}\n", "\n", "print(\"\\n\" + \"=\" * 60)\n", @@ -1292,13 +1312,13 @@ }, { "cell_type": "markdown", - "id": "cedbfa6c", + "id": "0b2d9641", "metadata": { "papermill": { - "duration": 0.005613, - "end_time": "2026-04-26T01:01:27.854004+00:00", + "duration": 0.004937, + "end_time": "2026-04-26T02:05:03.892966+00:00", "exception": false, - "start_time": "2026-04-26T01:01:27.848391+00:00", + "start_time": "2026-04-26T02:05:03.888029+00:00", "status": "completed" }, "tags": [] @@ -1318,19 +1338,19 @@ { "cell_type": "code", "execution_count": 10, - "id": "5a72b090", + "id": "ada8fd56", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:01:27.864425Z", - "iopub.status.busy": "2026-04-26T01:01:27.864222Z", - "iopub.status.idle": "2026-04-26T01:01:28.551512Z", - "shell.execute_reply": "2026-04-26T01:01:28.550716Z" + "iopub.execute_input": "2026-04-26T02:05:03.903739Z", + "iopub.status.busy": "2026-04-26T02:05:03.903536Z", + "iopub.status.idle": "2026-04-26T02:05:04.330936Z", + "shell.execute_reply": "2026-04-26T02:05:04.330036Z" }, "papermill": { - "duration": 0.693199, - "end_time": "2026-04-26T01:01:28.552016+00:00", + "duration": 0.433838, + "end_time": "2026-04-26T02:05:04.331598+00:00", "exception": false, - "start_time": "2026-04-26T01:01:27.858817+00:00", + "start_time": "2026-04-26T02:05:03.897760+00:00", "status": "completed" }, "tags": [] @@ -1340,7 +1360,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "trainable params: 29,933,568 || all params: 3,115,872,256 || trainable%: 0.9607\n" + "trainable params: 3,686,400 || all params: 3,089,625,088 || trainable%: 0.1193\n" ] } ], @@ -1349,9 +1369,8 @@ "from peft import LoraConfig, get_peft_model, TaskType\n", "\n", "lora_config = LoraConfig(\n", - " r=16, lora_alpha=32, lora_dropout=0.05,\n", - " target_modules=[\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\",\n", - " \"gate_proj\", \"up_proj\", \"down_proj\"],\n", + " r=8, lora_alpha=16, lora_dropout=0.05,\n", + " target_modules=[\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\"],\n", " task_type=TaskType.CAUSAL_LM, bias=\"none\",\n", ")\n", "\n", @@ -1363,19 +1382,19 @@ { "cell_type": "code", "execution_count": 11, - "id": "a918253b", + "id": "8000b47f", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:01:28.562801Z", - "iopub.status.busy": "2026-04-26T01:01:28.562588Z", - "iopub.status.idle": "2026-04-26T01:22:58.472018Z", - "shell.execute_reply": "2026-04-26T01:22:58.471114Z" + "iopub.execute_input": "2026-04-26T02:05:04.343270Z", + "iopub.status.busy": "2026-04-26T02:05:04.343046Z", + "iopub.status.idle": "2026-04-26T02:26:37.218943Z", + "shell.execute_reply": "2026-04-26T02:26:37.218167Z" }, "papermill": { - "duration": 1289.91551, - "end_time": "2026-04-26T01:22:58.472721+00:00", + "duration": 1292.882275, + "end_time": "2026-04-26T02:26:37.219457+00:00", "exception": false, - "start_time": "2026-04-26T01:01:28.557211+00:00", + "start_time": "2026-04-26T02:05:04.337182+00:00", "status": "completed" }, "tags": [] @@ -1391,37 +1410,30 @@ "============================================================\n" ] }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - " Rollouts: 6 eps × 15 days in 299.0s\n", - " ep 1/6: engage grader=0.5430 reward=4.047 kept=15/15\n", - " ep 2/6: strategic grader=0.3790 reward=3.295 kept=15/15\n", - " ep 3/6: competitive grader=0.0332 reward=2.316 kept=15/15\n", - " ep 4/6: engage grader=0.6470 reward=4.348 kept=15/15\n", - " ep 5/6: strategic grader=0.1750 reward=2.600 kept=1/15\n", - " ep 6/6: competitive grader=0.0332 reward=2.316 kept=15/15\n", - " Avg reward=3.154 Avg grader=0.3017 | total pairs=76\n", - " Filtered to 38/76 samples (return >= 2.370)\n" + " Rollouts: 6 eps × 15 days in 308.7s\n", + " ep 1/6: engage grader=0.1689 reward=2.793 kept=12/15\n", + " ep 2/6: strategic grader=0.6312 reward=4.183 kept=15/15\n", + " ep 3/6: competitive grader=0.6341 reward=4.232 kept=15/15\n", + " ep 4/6: engage grader=0.1822 reward=2.883 kept=14/15\n", + " ep 5/6: strategic grader=0.5022 reward=3.630 kept=14/15\n", + " ep 6/6: competitive grader=0.2496 reward=3.058 kept=14/15\n", + " Avg reward=3.463 Avg grader=0.3947 max_grader=0.6341 | pairs=84\n", + " Kept 44/84 positive-advantage samples\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1ccd04af6d4f4a548bdb9f97e85ad6d4", + "model_id": "d0ce6a3c111e478b82fe168373888eaf", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Adding EOS to train dataset: 0%| | 0/38 [00:00\n", " \n", - " \n", - " [10/10 00:14, Epoch 2/2]\n", + " \n", + " [6/6 00:06, Epoch 1/1]\n", " \n", " \n", " \n", @@ -1467,43 +1479,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", "
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102.4679002.202975

" @@ -1519,44 +1515,37 @@ "name": "stdout", "output_type": "stream", "text": [ - " Training loss: 2.6893\n", + " Training loss: 2.4064\n", "\n", "============================================================\n", "TRAINING ROUND 2/4\n", "============================================================\n" ] }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - " Rollouts: 6 eps × 15 days in 430.7s\n", - " ep 1/6: engage grader=0.5125 reward=3.710 kept=14/15\n", - " ep 2/6: strategic grader=0.1747 reward=2.599 kept=14/15\n", - " ep 3/6: competitive grader=0.2412 reward=3.346 kept=15/15\n", - " ep 4/6: engage grader=0.0000 reward=2.249 kept=15/15\n", - " ep 5/6: strategic grader=0.1750 reward=2.600 kept=1/15\n", - " ep 6/6: competitive grader=0.1312 reward=2.623 kept=15/15\n", - " Avg reward=2.855 Avg grader=0.2058 | total pairs=74\n", - " Filtered to 37/74 samples (return >= 1.711)\n" + " Rollouts: 6 eps × 15 days in 339.6s\n", + " ep 1/6: engage grader=0.0000 reward=2.250 kept=12/15\n", + " ep 2/6: strategic grader=0.3906 reward=3.338 kept=15/15\n", + " ep 3/6: competitive grader=0.4051 reward=3.511 kept=15/15\n", + " ep 4/6: engage grader=0.0747 reward=2.539 kept=12/15\n", + " ep 5/6: strategic grader=0.2649 reward=2.991 kept=14/15\n", + " ep 6/6: competitive grader=0.5068 reward=3.802 kept=15/15\n", + " Avg reward=3.072 Avg grader=0.2737 max_grader=0.5068 | pairs=83\n", + " Kept 48/83 positive-advantage samples\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c23456867d644af5bfc9d822b97964c5", + "model_id": "925c225aab344f88be5bc45c96486e18", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Adding EOS to train dataset: 0%| | 0/37 [00:00\n", " \n", - " \n", - " [10/10 00:12, Epoch 2/2]\n", + " \n", + " [6/6 00:06, Epoch 1/1]\n", " \n", " \n", " \n", @@ -1595,43 +1584,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", "
12.7301742.496080
22.6757082.402813
32.6822442.466796
42.6125692.406532
52.5818342.528604
62.519363
72.534280
82.428933
92.416718
102.3583852.302933

" @@ -1647,44 +1620,37 @@ "name": "stdout", "output_type": "stream", "text": [ - " Training loss: 2.5540\n", + " Training loss: 2.4340\n", "\n", "============================================================\n", "TRAINING ROUND 3/4\n", "============================================================\n" ] }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - " Rollouts: 6 eps × 15 days in 286.1s\n", - " ep 1/6: engage grader=0.0000 reward=2.250 kept=15/15\n", - " ep 2/6: strategic grader=0.3385 reward=3.293 kept=15/15\n", - " ep 3/6: competitive grader=0.0332 reward=2.316 kept=15/15\n", - " ep 4/6: engage grader=0.2130 reward=3.219 kept=15/15\n", - " ep 5/6: strategic grader=0.1743 reward=2.599 kept=15/15\n", - " ep 6/6: competitive grader=0.4656 reward=4.140 kept=15/15\n", - " Avg reward=2.969 Avg grader=0.2041 | total pairs=90\n", - " Filtered to 45/90 samples (return >= 1.742)\n" + " Rollouts: 6 eps × 15 days in 298.9s\n", + " ep 1/6: engage grader=0.2032 reward=2.979 kept=14/15\n", + " ep 2/6: strategic grader=0.5740 reward=3.951 kept=15/15\n", + " ep 3/6: competitive grader=0.2460 reward=3.087 kept=14/15\n", + " ep 4/6: engage grader=0.3417 reward=3.484 kept=15/15\n", + " ep 5/6: strategic grader=0.5504 reward=3.956 kept=15/15\n", + " ep 6/6: competitive grader=0.3277 reward=3.356 kept=14/15\n", + " Avg reward=3.469 Avg grader=0.3738 max_grader=0.5740 | pairs=87\n", + " Kept 41/87 positive-advantage samples\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "55862e5d38bb45aabdbb5cdb2aa78dcd", + "model_id": "b1c16744549a46f28c91a95966bd912d", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Adding EOS to train dataset: 0%| | 0/45 [00:00\n", " \n", - " \n", - " [12/12 00:17, Epoch 2/2]\n", + " \n", + " [6/6 00:05, Epoch 1/1]\n", " \n", " \n", " \n", @@ -1723,51 +1689,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", "
12.2258612.443861
22.1709192.402477
32.2390332.438725
42.0924582.385319
52.0783322.376389
62.095270
72.075058
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91.998803
101.992182
111.922094
121.9960732.378237

" @@ -1783,44 +1725,37 @@ "name": "stdout", "output_type": "stream", "text": [ - " Training loss: 2.0757\n", + " Training loss: 2.4042\n", "\n", "============================================================\n", "TRAINING ROUND 4/4\n", "============================================================\n" ] }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - " Rollouts: 6 eps × 15 days in 199.4s\n", - " ep 1/6: engage grader=0.0793 reward=2.443 kept=15/15\n", - " ep 2/6: strategic grader=0.5243 reward=4.527 kept=15/15\n", - " ep 3/6: competitive grader=0.0350 reward=2.320 kept=15/15\n", - " ep 4/6: engage grader=0.3129 reward=3.254 kept=15/15\n", - " ep 5/6: strategic grader=0.4373 reward=3.809 kept=15/15\n", - " ep 6/6: competitive grader=0.2871 reward=3.410 kept=15/15\n", - " Avg reward=3.294 Avg grader=0.2793 | total pairs=90\n", - " Filtered to 45/90 samples (return >= 2.252)\n" + " Rollouts: 6 eps × 15 days in 306.5s\n", + " ep 1/6: engage grader=0.3162 reward=3.480 kept=15/15\n", + " ep 2/6: strategic grader=0.3042 reward=3.181 kept=14/15\n", + " ep 3/6: competitive grader=0.3279 reward=3.150 kept=15/15\n", + " ep 4/6: engage grader=0.3911 reward=3.495 kept=15/15\n", + " ep 5/6: strategic grader=0.4575 reward=3.517 kept=14/15\n", + " ep 6/6: competitive grader=0.2748 reward=3.073 kept=14/15\n", + " Avg reward=3.316 Avg grader=0.3453 max_grader=0.4575 | pairs=87\n", + " Kept 47/87 positive-advantage samples\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "15712b7dc4e744cc926f528aada5a770", + "model_id": "709abe3e2d744357add81c89105efac3", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Adding EOS to train dataset: 0%| | 0/45 [00:00\n", " \n", - " \n", - " [12/12 00:15, Epoch 2/2]\n", + " \n", + " [6/6 00:06, Epoch 1/1]\n", " \n", " \n", " \n", @@ -1859,51 +1794,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", "
12.1019372.417023
22.0691372.528875
32.1148932.422130
42.0322422.426622
52.0237772.361827
61.962225
71.979426
81.921424
91.907600
101.893878
111.873059
121.8859752.364565

" @@ -1919,14 +1830,14 @@ "name": "stdout", "output_type": "stream", "text": [ - " Training loss: 1.9805\n", + " Training loss: 2.4202\n", "\n", "Training complete in 21.5 min\n", " round avg_episode_reward max_episode_reward min_episode_reward avg_grader max_grader n_training_samples train_loss\n", - " 1 3.154 4.348 2.316 0.3017 0.6470 38 2.6893\n", - " 2 2.855 3.710 2.249 0.2058 0.5125 37 2.5540\n", - " 3 2.969 4.140 2.250 0.2041 0.4656 45 2.0757\n", - " 4 3.294 4.527 2.320 0.2793 0.5243 45 1.9805\n" + " 1 3.463 4.232 2.793 0.3947 0.6341 44 2.4064\n", + " 2 3.072 3.802 2.250 0.2737 0.5068 48 2.4340\n", + " 3 3.469 3.956 2.979 0.3738 0.5740 41 2.4042\n", + " 4 3.316 3.517 3.073 0.3453 0.4575 47 2.4202\n" ] } ], @@ -1937,7 +1848,7 @@ "\n", "NUM_ROUNDS = 4\n", "EPISODES_PER_ROUND = 6\n", - "TOP_K_FRACTION = 0.5\n", + "QUALITY_FLOOR = 0.40 # skip SFT for the round if no episode beats this grader score\n", "\n", "training_log = {\n", " \"round\": [], \"avg_episode_reward\": [], \"max_episode_reward\": [],\n", @@ -1955,7 +1866,8 @@ " peft_model.eval()\n", " tasks_seeds = [(TASKS[ep % len(TASKS)], 42 + (round_idx - 1) * 100 + ep) for ep in range(EPISODES_PER_ROUND)]\n", " t_roll = time.time()\n", - " results = run_llm_episodes_batched(peft_model, tokenizer, tasks_seeds, verbose=False)\n", + " results = run_llm_episodes_batched(peft_model, tokenizer, tasks_seeds, verbose=False,\n", + " eval=False, system=SYSTEM_PROMPT_TRAIN)\n", " print(f\" Rollouts: {len(results)} eps × {TASK_HORIZON} days in {time.time()-t_roll:.1f}s\")\n", "\n", " all_pairs, episode_rewards, episode_graders = [], [], []\n", @@ -1967,7 +1879,7 @@ " for pr in result[\"pairs\"]:\n", " if not is_well_formed_response(pr[\"response\"]):\n", " continue\n", - " text = (f\"<|im_start|>system\\n{SYSTEM_PROMPT}<|im_end|>\\n\"\n", + " text = (f\"<|im_start|>system\\n{SYSTEM_PROMPT_TRAIN}<|im_end|>\\n\"\n", " f\"<|im_start|>user\\n{pr['prompt']}<|im_end|>\\n\"\n", " f\"<|im_start|>assistant\\n{pr['response']}<|im_end|>\")\n", " all_pairs.append({\"text\": text, \"reward\": pr[\"return\"]})\n", @@ -1977,28 +1889,36 @@ "\n", " avg_r = float(np.mean(episode_rewards))\n", " avg_g = float(np.mean(episode_graders))\n", - " print(f\" Avg reward={avg_r:.3f} Avg grader={avg_g:.4f} | total pairs={len(all_pairs)}\")\n", + " max_g = float(max(episode_graders))\n", + " print(f\" Avg reward={avg_r:.3f} Avg grader={avg_g:.4f} max_grader={max_g:.4f} | pairs={len(all_pairs)}\")\n", " if not all_pairs:\n", " print(\" WARNING: 0 well-formed pairs collected; skipping SFT.\")\n", " continue\n", + " if max_g < QUALITY_FLOOR:\n", + " print(f\" SKIP SFT: no episode beat quality_floor={QUALITY_FLOOR:.2f}\")\n", + " continue\n", "\n", - " threshold = np.percentile([p[\"reward\"] for p in all_pairs], (1 - TOP_K_FRACTION) * 100)\n", - " filtered = [p for p in all_pairs if p[\"reward\"] >= threshold] or all_pairs\n", - " print(f\" Filtered to {len(filtered)}/{len(all_pairs)} samples (return >= {threshold:.3f})\")\n", + " rets = np.array([p[\"reward\"] for p in all_pairs], dtype=float)\n", + " adv = (rets - rets.mean()) / (rets.std() + 1e-6)\n", + " filtered = [p for p, a in zip(all_pairs, adv) if a > 0.0]\n", + " if not filtered:\n", + " print(\" SKIP SFT: zero positive-advantage samples\")\n", + " continue\n", + " print(f\" Kept {len(filtered)}/{len(all_pairs)} positive-advantage samples\")\n", "\n", " dataset = Dataset.from_list([{\"text\": p[\"text\"]} for p in filtered])\n", "\n", " # SFT training (real gradient updates)\n", " sft_config = SFTConfig(\n", " output_dir=f\"./checkpoints/round_{round_idx}\",\n", - " num_train_epochs=2,\n", - " per_device_train_batch_size=4,\n", - " gradient_accumulation_steps=2,\n", - " learning_rate=2e-5,\n", - " warmup_ratio=0.1,\n", + " num_train_epochs=1,\n", + " per_device_train_batch_size=2,\n", + " gradient_accumulation_steps=4,\n", + " learning_rate=5e-6,\n", + " warmup_steps=5,\n", " logging_steps=1,\n", " save_strategy=\"no\",\n", - " max_length=4096,\n", + " max_length=2048,\n", " bf16=True,\n", " report_to=\"none\",\n", " )\n", @@ -2028,13 +1948,13 @@ }, { "cell_type": "markdown", - "id": "fa127c02", + "id": "876c2c4e", "metadata": { "papermill": { - "duration": 0.006508, - "end_time": "2026-04-26T01:22:58.485976+00:00", + "duration": 0.005851, + "end_time": "2026-04-26T02:26:37.231906+00:00", "exception": false, - "start_time": "2026-04-26T01:22:58.479468+00:00", + "start_time": "2026-04-26T02:26:37.226055+00:00", "status": "completed" }, "tags": [] @@ -2048,19 +1968,19 @@ { "cell_type": "code", "execution_count": 12, - "id": "1c89f1d2", + "id": "40370382", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:22:58.498923Z", - "iopub.status.busy": "2026-04-26T01:22:58.498706Z", - "iopub.status.idle": "2026-04-26T01:30:06.678934Z", - "shell.execute_reply": "2026-04-26T01:30:06.678154Z" + "iopub.execute_input": "2026-04-26T02:26:37.244591Z", + "iopub.status.busy": "2026-04-26T02:26:37.244354Z", + "iopub.status.idle": "2026-04-26T02:31:30.457054Z", + "shell.execute_reply": "2026-04-26T02:31:30.456336Z" }, "papermill": { - "duration": 428.193492, - "end_time": "2026-04-26T01:30:06.685475+00:00", + "duration": 293.220243, + "end_time": "2026-04-26T02:31:30.458005+00:00", "exception": false, - "start_time": "2026-04-26T01:22:58.491983+00:00", + "start_time": "2026-04-26T02:26:37.237762+00:00", "status": "completed" }, "tags": [] @@ -2078,111 +1998,111 @@ "name": "stdout", "output_type": "stream", "text": [ - " D 1: batch=3 rest=0 prompt_tok=495\n" + " D 1: batch=3 rest=0 prompt_tok=613\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 2: batch=3 rest=0 prompt_tok=786\n" + " D 2: batch=3 rest=0 prompt_tok=650\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 3: batch=3 rest=0 prompt_tok=1075\n" + " D 3: batch=3 rest=0 prompt_tok=666\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 4: batch=3 rest=0 prompt_tok=1374\n" + " D 4: batch=3 rest=0 prompt_tok=662\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 5: batch=3 rest=0 prompt_tok=1672\n" + " D 5: batch=3 rest=0 prompt_tok=664\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 6: batch=3 rest=0 prompt_tok=2074\n" + " D 6: batch=3 rest=0 prompt_tok=661\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 7: batch=3 rest=0 prompt_tok=2543\n" + " D 7: batch=3 rest=0 prompt_tok=656\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 8: batch=3 rest=0 prompt_tok=3068\n" + " D 8: batch=3 rest=0 prompt_tok=654\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D 9: batch=3 rest=0 prompt_tok=3383\n" + " D 9: batch=3 rest=0 prompt_tok=648\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D10: batch=3 rest=0 prompt_tok=3695\n" + " D10: batch=3 rest=0 prompt_tok=646\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D11: batch=3 rest=0 prompt_tok=3998\n" + " D11: batch=3 rest=0 prompt_tok=653\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D12: batch=3 rest=0 prompt_tok=4302\n" + " D12: batch=3 rest=0 prompt_tok=664\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D13: batch=3 rest=0 prompt_tok=4503\n" + " D13: batch=3 rest=0 prompt_tok=669\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D14: batch=3 rest=0 prompt_tok=4635\n" + " D14: batch=3 rest=0 prompt_tok=672\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " D15: batch=3 rest=0 prompt_tok=4712\n", + " D15: batch=3 rest=0 prompt_tok=676\n", "\n", "============================================================\n", - "AFTER TRAINING (took 428.2s):\n", - " monthly_engage: grader=0.1071\n", - " monthly_strategic: grader=0.3174\n", - " monthly_competitive: grader=0.5233\n" + "AFTER TRAINING (took 293.2s):\n", + " monthly_engage: grader=0.0000\n", + " monthly_strategic: grader=0.1744\n", + " monthly_competitive: grader=0.0280\n" ] } ], @@ -2193,7 +2113,7 @@ "\n", "peft_model.eval()\n", "t0 = time.time()\n", - "results = run_llm_episodes_batched(peft_model, tokenizer, [(t, 42) for t in TASKS], verbose=True)\n", + "results = run_llm_episodes_batched(peft_model, tokenizer, [(t, 42) for t in TASKS], verbose=True, eval=True)\n", "after_results = {r[\"task\"]: r for r in results}\n", "\n", "print(\"\\n\" + \"=\" * 60)\n", @@ -2204,13 +2124,13 @@ }, { "cell_type": "markdown", - "id": "37679000", + "id": "6dea382f", "metadata": { "papermill": { - "duration": 0.006378, - "end_time": "2026-04-26T01:30:06.698601+00:00", + "duration": 0.006308, + "end_time": "2026-04-26T02:31:30.471452+00:00", "exception": false, - "start_time": "2026-04-26T01:30:06.692223+00:00", + "start_time": "2026-04-26T02:31:30.465144+00:00", "status": "completed" }, "tags": [] @@ -2222,19 +2142,19 @@ { "cell_type": "code", "execution_count": 13, - "id": "05832c56", + "id": "75fbcca3", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:30:06.713001Z", - "iopub.status.busy": "2026-04-26T01:30:06.712787Z", - "iopub.status.idle": "2026-04-26T01:30:07.080646Z", - "shell.execute_reply": "2026-04-26T01:30:07.079755Z" + "iopub.execute_input": "2026-04-26T02:31:30.485410Z", + "iopub.status.busy": "2026-04-26T02:31:30.485211Z", + "iopub.status.idle": "2026-04-26T02:31:30.876206Z", + "shell.execute_reply": "2026-04-26T02:31:30.875490Z" }, "papermill": { - "duration": 0.375605, - "end_time": "2026-04-26T01:30:07.081254+00:00", + "duration": 0.398673, + "end_time": "2026-04-26T02:31:30.876798+00:00", "exception": false, - "start_time": "2026-04-26T01:30:06.705649+00:00", + "start_time": "2026-04-26T02:31:30.478125+00:00", "status": "completed" }, "tags": [] @@ -2242,7 +2162,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -2277,19 +2197,19 @@ { "cell_type": "code", "execution_count": 14, - "id": "ceb73f34", + "id": "83415a8e", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:30:07.096654Z", - "iopub.status.busy": "2026-04-26T01:30:07.096498Z", - "iopub.status.idle": "2026-04-26T01:30:07.326696Z", - "shell.execute_reply": "2026-04-26T01:30:07.325963Z" + "iopub.execute_input": "2026-04-26T02:31:30.893015Z", + "iopub.status.busy": "2026-04-26T02:31:30.892799Z", + "iopub.status.idle": "2026-04-26T02:31:31.330165Z", + "shell.execute_reply": "2026-04-26T02:31:31.329402Z" }, "papermill": { - "duration": 0.238562, - "end_time": "2026-04-26T01:30:07.327271+00:00", + "duration": 0.445949, + "end_time": "2026-04-26T02:31:31.330704+00:00", "exception": false, - "start_time": "2026-04-26T01:30:07.088709+00:00", + "start_time": "2026-04-26T02:31:30.884755+00:00", "status": "completed" }, "tags": [] @@ -2297,7 +2217,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -2340,19 +2260,19 @@ { "cell_type": "code", "execution_count": 15, - "id": "7749a0f8", + "id": "ee0aa35c", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:30:07.343987Z", - "iopub.status.busy": "2026-04-26T01:30:07.343827Z", - "iopub.status.idle": "2026-04-26T01:30:08.287702Z", - "shell.execute_reply": "2026-04-26T01:30:08.286899Z" + "iopub.execute_input": "2026-04-26T02:31:31.347265Z", + "iopub.status.busy": "2026-04-26T02:31:31.346985Z", + "iopub.status.idle": "2026-04-26T02:31:32.262220Z", + "shell.execute_reply": "2026-04-26T02:31:32.261426Z" }, "papermill": { - "duration": 0.952996, - "end_time": "2026-04-26T01:30:08.288446+00:00", + "duration": 0.924018, + "end_time": "2026-04-26T02:31:32.262776+00:00", "exception": false, - "start_time": "2026-04-26T01:30:07.335450+00:00", + "start_time": "2026-04-26T02:31:31.338758+00:00", "status": "completed" }, "tags": [] @@ -2360,7 +2280,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -2396,13 +2316,13 @@ }, { "cell_type": "markdown", - "id": "50284f4d", + "id": "faecebf9", "metadata": { "papermill": { - "duration": 0.009081, - "end_time": "2026-04-26T01:30:08.307718+00:00", + "duration": 0.008105, + "end_time": "2026-04-26T02:31:32.280104+00:00", "exception": false, - "start_time": "2026-04-26T01:30:08.298637+00:00", + "start_time": "2026-04-26T02:31:32.271999+00:00", "status": "completed" }, "tags": [] @@ -2414,19 +2334,19 @@ { "cell_type": "code", "execution_count": 16, - "id": "7e19386e", + "id": "881db07d", "metadata": { "execution": { - "iopub.execute_input": "2026-04-26T01:30:08.343124Z", - "iopub.status.busy": "2026-04-26T01:30:08.342917Z", - "iopub.status.idle": "2026-04-26T01:30:08.352073Z", - "shell.execute_reply": "2026-04-26T01:30:08.351228Z" + "iopub.execute_input": "2026-04-26T02:31:32.297802Z", + "iopub.status.busy": "2026-04-26T02:31:32.297611Z", + "iopub.status.idle": "2026-04-26T02:31:32.307129Z", + "shell.execute_reply": "2026-04-26T02:31:32.306386Z" }, "papermill": { - "duration": 0.019887, - "end_time": "2026-04-26T01:30:08.352892+00:00", + "duration": 0.019107, + "end_time": "2026-04-26T02:31:32.307624+00:00", "exception": false, - "start_time": "2026-04-26T01:30:08.333005+00:00", + "start_time": "2026-04-26T02:31:32.288517+00:00", "status": "completed" }, "tags": [] @@ -2442,11 +2362,11 @@ "\n", "Task Before After Delta Smart\n", "-------------------------------------------------------------------\n", - "monthly_engage 0.5642 0.1071 -0.4571 0.7352\n", - "monthly_strategic 0.5903 0.3174 -0.2729 0.9043\n", - "monthly_competitive 0.8313 0.5233 -0.3080 0.9066\n", + "monthly_engage 0.0000 0.0000 +0.0000 0.7352\n", + "monthly_strategic 0.1740 0.1744 +0.0004 0.9043\n", + "monthly_competitive 0.0280 0.0280 +0.0000 0.9066\n", "-------------------------------------------------------------------\n", - "AVERAGE 0.6619 0.3159 -0.3460 0.8487\n", + "AVERAGE 0.0673 0.0675 +0.0001 0.8487\n", "\n", "Saved to 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