Scriptwriter dataset sync

restart-train.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-# Stable single-GPU restart (DDP SIGABRT'd on this pod).
+# 2× GPU DDP restart
 # curl -fsSL "https://huggingface.co/datasets/datamatters24/scriptwriter-runpod/resolve/main/restart-train.sh" | bash
 set -euo pipefail
 
@@ -26,13 +26,17 @@ 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="${BASE_MODEL:-meta-llama/Llama-3.2-3B-Instruct}"
 export RUNPOD_SKIP_FORCE_PIP=1
-export CUDA_VISIBLE_DEVICES=0
+unset CUDA_VISIBLE_DEVICES
 export MAX_SEQ_LENGTH=2048
 export MAX_SEQ_LENGTH_CAP=2048
 export PER_DEVICE_TRAIN_BATCH_SIZE=1
-export GRADIENT_ACCUMULATION_STEPS=8
+export GRADIENT_ACCUMULATION_STEPS=4
 export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+export NCCL_IB_DISABLE=1
+export NCCL_P2P_DISABLE=1
+export TOKENIZERS_PARALLELISM=false
 export RESUME_FROM_CHECKPOINT="${RESUME_FROM_CHECKPOINT:-1}"
+export NPROC="${NPROC:-2}"
 
 if [[ ! -f /workspace/data/processed/train.jsonl ]]; then
   echo "train.jsonl missing — use fix-and-train.sh instead"
@@ -58,19 +62,23 @@ 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 CUDA_VISIBLE_DEVICES=0
+unset CUDA_VISIBLE_DEVICES
 export MAX_SEQ_LENGTH=2048
 export MAX_SEQ_LENGTH_CAP=2048
 export PER_DEVICE_TRAIN_BATCH_SIZE=1
-export GRADIENT_ACCUMULATION_STEPS=8
+export GRADIENT_ACCUMULATION_STEPS=4
 export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+export NCCL_IB_DISABLE=1
+export NCCL_P2P_DISABLE=1
+export TOKENIZERS_PARALLELISM=false
 export RESUME_FROM_CHECKPOINT="${RESUME_FROM_CHECKPOINT:-1}"
+NPROC="${NPROC:-2}"
 exec > >(tee -a /workspace/logs/train_live.log) 2>&1
 echo "========== TRAIN START $(date -Is) =========="
-echo "STABLE 1-GPU: seq=2048 batch=1 accum=8 (DDP disabled — prior SIGABRT)"
+echo "DDP on ${NPROC} GPUs: seq=2048 batch=1 accum=4 (NCCL_P2P/IB disabled)"
 ls /workspace/models/lora/checkpoint-* 2>/dev/null | tail -5 || echo "no prior checkpoint"
 nvidia-smi || true
-python3 scripts/train_runpod.py
+torchrun --standalone --nproc_per_node="$NPROC" 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 $(date -Is) =========="
@@ -81,5 +89,5 @@ chmod +x "$WORKER"
 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 STABLE 1-GPU train — attach: tmux attach -t scriptwriter-train"
-echo "GPU 1 idle is expected. Resume checkpoint if present."
+echo "Started 2-GPU DDP — attach: tmux attach -t scriptwriter-train"
+echo "Expect both GPUs ~6–11 GiB and high util."

scriptwriter-runpod-ready.tgz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51834db8130e7a45b215ed86659c79db7b44b8336eee0f22b3aac5bcf01e2c40
-size 10116
+oid sha256:55e8cd0992886d06af8f926a83029e5ce1739fedbfa7f1dcfa9cdb1ef6569638
+size 10225