Scriptwriter dataset sync

fix-and-train.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-# Fix broken peft/transformers import on RunPod, then restart training.
+# Fix torch/transformers mismatch on RunPod pytorch images, then restart training.
 # curl -fsSL "https://huggingface.co/datasets/datamatters24/scriptwriter-runpod/resolve/main/fix-and-train.sh" | bash
 set -euo pipefail
 
@@ -7,32 +7,49 @@ echo "=== Killing old train session (if any) ==="
 tmux kill-session -t scriptwriter-train 2>/dev/null || true
 pkill -f 'train_runpod.py' 2>/dev/null || true
 
-echo "=== Installing pinned deps (fixes NameError: torch is not defined) ==="
+echo "=== Restoring torch 2.4.1 + matching torchvision (RunPod image stack) ==="
 python3 -m pip install -q --upgrade pip
-python3 -m pip uninstall -y transformers peft trl accelerate 2>/dev/null || true
+# Critical: do NOT let pip float torch to 2.13 — it breaks torchvision::nms on this image
 python3 -m pip install -q --force-reinstall \
+  "torch==2.4.1" "torchvision==0.19.1" "torchaudio==2.4.1" \
+  --index-url https://download.pytorch.org/whl/cu124
+
+echo "=== Installing pinned HF train stack (no torch upgrade) ==="
+python3 -m pip uninstall -y transformers peft trl accelerate 2>/dev/null || true
+python3 -m pip install -q \
   "transformers==4.46.3" \
   "peft==0.13.2" \
   "trl==0.12.1" \
   "accelerate==0.34.2" \
   "datasets>=2.19.0,<3.1" \
   "huggingface_hub>=0.24.0,<0.30" \
-  "safetensors>=0.4.0"
+  "safetensors>=0.4.0" \
+  "sentencepiece>=0.2.0" \
+  "protobuf>=4.25.0" \
+  "pyyaml>=6.0.0" \
+  "tqdm>=4.66.0" \
+  "bitsandbytes>=0.43.0,<0.46"
+
+# Freeze torch again in case a dep tried to bump it
+python3 -m pip install -q \
+  "torch==2.4.1" "torchvision==0.19.1" "torchaudio==2.4.1" \
+  --index-url https://download.pytorch.org/whl/cu124
 
 python3 - <<'PY'
-import torch, transformers, peft, trl
+import torch, torchvision, transformers, peft, trl
 print("torch", torch.__version__, "cuda", torch.cuda.is_available(), "gpus", torch.cuda.device_count())
+print("torchvision", torchvision.__version__)
 print("transformers", transformers.__version__)
 print("peft", peft.__version__)
 print("trl", trl.__version__)
 from peft import LoraConfig
-from transformers import AutoTokenizer
+from transformers import AutoModelForCausalLM
 print("imports ok")
 PY
 
-# Refresh trainer scripts from public bundle (has tmux install + pins)
 DEST=/workspace/scriptwriter-runpod
 TGZ=/tmp/scriptwriter-runpod-ready.tgz
+echo "=== Refreshing trainer scripts ==="
 curl -fsSL "https://huggingface.co/datasets/datamatters24/scriptwriter-runpod/resolve/main/scriptwriter-runpod-ready.tgz" -o "$TGZ"
 rm -rf "$DEST"
 mkdir -p "$DEST"
@@ -44,15 +61,13 @@ export OUTPUT_DIR=/workspace/models/lora
 export HF_DATASET_REPO="${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}"
+# Prevent the trainer from force-reinstalling a newer torch
+export RUNPOD_SKIP_FORCE_PIP=1
 
-# Skip re-download noise: train.jsonl already present
 if [[ ! -f /workspace/data/processed/train.jsonl ]]; then
   echo "ERROR: /workspace/data/processed/train.jsonl missing"
   exit 1
 fi
 
 cd "$DEST"
-# Soft-patch: comment out dataset download section by setting SKIP flag the script understands
-# If not present, just run — re-download is fine/fast from cache
-export SKIP_DATASET_DOWNLOAD=1
 bash scripts/runpod_train_tmux.sh

scriptwriter-runpod-ready.tgz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c5a76a9a5e7e1689b963d6f66a0e24ad61d834808380f6ddbb72d7328da3a0b
-size 7992
+oid sha256:30dfccd6f6caee7fb287a7f5e9a3edab91ec1f87aa71a492b26e02b23da9b5c7
+size 8178