Scriptwriter dataset sync

restart-train.sh

@@ -0,0 +1,68 @@
+#!/bin/bash
+# curl -fsSL "https://huggingface.co/datasets/datamatters24/scriptwriter-runpod/resolve/main/restart-train.sh" | bash
+set -euo pipefail
+tmux kill-session -t scriptwriter-train 2>/dev/null || true
+pkill -f 'train_runpod.py' 2>/dev/null || true
+
+DEST=/workspace/scriptwriter-runpod
+TGZ=/tmp/scriptwriter-runpod-ready.tgz
+curl -fsSL "https://huggingface.co/datasets/datamatters24/scriptwriter-runpod/resolve/main/scriptwriter-runpod-ready.tgz" -o "$TGZ"
+rm -rf "$DEST"
+mkdir -p "$DEST"
+tar xzf "$TGZ" -C "$DEST" --strip-components=1 --no-same-owner --no-same-permissions
+
+export WORKDIR="$DEST"
+export DATA_DIR=/workspace/data/processed
+export OUTPUT_DIR=/workspace/models/lora
+export HF_DATASET_REPO="${HF_DATASET_REPO:-datamatters24/scriptwriter-corpus-ia}"
+export HF_MODEL_REPO="${HF_MODEL_REPO:-datamatters24/scriptwriter-lora-ia}"
+export BASE_MODEL="${BASE_MODEL:-meta-llama/Llama-3.2-3B-Instruct}"
+export RUNPOD_SKIP_FORCE_PIP=1
+export MAX_SEQ_LENGTH_CAP="${MAX_SEQ_LENGTH_CAP:-4096}"
+
+if [[ ! -f /workspace/data/processed/train.jsonl ]]; then
+  echo "train.jsonl missing — use fix-and-train.sh instead"
+  exit 1
+fi
+
+# Skip heavy pip in runpod_train_tmux by marking skip
+cd "$DEST"
+# Patch: run worker directly to avoid re-download delays
+mkdir -p /workspace/logs /workspace/models/lora
+LOG=/workspace/logs/train_$(date +%Y%m%d_%H%M%S).log
+# Ensure ROOT data symlink
+mkdir -p "$DEST/data"
+ln -sfn /workspace/data/processed "$DEST/data/processed"
+
+apt-get update -qq && DEBIAN_FRONTEND=noninteractive apt-get install -y -qq tmux >/dev/null || true
+
+WORKER=/workspace/logs/_train_worker.sh
+cat > "$WORKER" <<'INNER'
+#!/bin/bash
+set -euo pipefail
+cd /workspace/scriptwriter-runpod
+export HF_TOKEN="${HF_TOKEN:-}"
+export HUGGING_FACE_HUB_TOKEN="${HF_TOKEN:-}"
+export HF_HOME="${HF_HOME:-/workspace/.cache/huggingface}"
+export CONFIG_PATH=/workspace/scriptwriter-runpod/config/training.yaml
+export BASE_MODEL="${BASE_MODEL:-meta-llama/Llama-3.2-3B-Instruct}"
+export OUTPUT_DIR=/workspace/models/lora
+export HF_MODEL_REPO="${HF_MODEL_REPO:-datamatters24/scriptwriter-lora-ia}"
+export MAX_SEQ_LENGTH_CAP="${MAX_SEQ_LENGTH_CAP:-4096}"
+exec > >(tee -a /workspace/logs/train_live.log) 2>&1
+echo "========== TRAIN START $(date -Is) =========="
+nvidia-smi || true
+python3 scripts/train_runpod.py
+echo "========== UPLOAD $(date -Is) =========="
+python3 scripts/sync_hf.py upload-model --repo "$HF_MODEL_REPO" --folder /workspace/models/lora
+echo "========== DONE $(date -Is) =========="
+echo "STOP THE POD"
+INNER
+# rewrite worker with expanded log path - the heredoc above uses train_live.log which is fine
+chmod +x "$WORKER"
+
+tmux has-session -t scriptwriter-train 2>/dev/null && tmux kill-session -t scriptwriter-train || true
+tmux new-session -d -s scriptwriter-train -n train "bash $WORKER"
+tmux new-window -t scriptwriter-train -n monitor
+tmux send-keys -t scriptwriter-train:monitor "watch -n 15 'nvidia-smi --query-gpu=index,memory.used,utilization.gpu --format=csv; echo; tail -25 /workspace/logs/train_live.log'" Enter
+echo "Started tmux scriptwriter-train — attach: tmux attach -t scriptwriter-train"

scriptwriter-runpod-ready.tgz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ab582380f2f6dbbbab1202a5a554f431be7a1726f69b4043a3b16a60d772d32
-size 8404
+oid sha256:8b57ff61dd0aae39976f13fde590b5e138e17cbe10b4c42a1d41ff1b82215eb2
+size 9375