#!/bin/bash # ============================================================================= # run_experiments.sh — Temporal Drift Detection: All Stages # Usage: bash run_experiments.sh [stage] # stage 1 → Qwen2.5 only (skip extraction, fix overlap, all analyses) # stage 2 → LLaMA-3.1 (fresh extraction + full analysis) # stage 3 → All models sequentially + cross-model # stage 4 → Cross-model only (assumes all models already done) # ============================================================================= BASE_DIR="/share_2/users/ahmed_heakl/svd_kg/knowledge_drift" SCRIPT="$BASE_DIR/disentanglement_v3.py" OUT="$BASE_DIR/data/experiments/v3" DATASET_QWEN="$BASE_DIR/data/tier1_qwen25.json" DATASET_UNIFIED="$BASE_DIR/data/knowledge_drift_unified_tier1.json" STAGE=${1:-1} echo "============================================================" echo " Stage: $STAGE" echo " Output: $OUT" echo "============================================================" mkdir -p "$OUT" # ── Stage 1: Qwen2.5 — skip extraction (cache exists), full analysis ───────── if [ "$STAGE" = "1" ]; then echo "[Stage 1] Qwen2.5 — reusing cached hidden states" CUDA_VISIBLE_DEVICES=0 python "$SCRIPT" --model_key qwen25 --dataset "$DATASET_QWEN" --output_dir "$OUT" --skip_extraction --n_permutations 1000 --max_iter 2000 fi # ── Stage 2: LLaMA-3.1 — fresh extraction + full analysis ─────────────────── if [ "$STAGE" = "2" ]; then echo "[Stage 2] LLaMA-3.1 — fresh extraction" CUDA_VISIBLE_DEVICES=0 python "$SCRIPT" --model_key llama31 --dataset "$DATASET_UNIFIED" --output_dir "$OUT" --n_permutations 1000 --max_iter 2000 fi # ── Stage 3: All models sequentially (overnight) ───────────────────────────── if [ "$STAGE" = "3" ]; then echo "[Stage 3] All models — sequential run overnight" CUDA_VISIBLE_DEVICES=0 python "$SCRIPT" --run_all_models --dataset "$DATASET_UNIFIED" --output_dir "$OUT" --cross_model --n_permutations 500 --max_iter 2000 fi # ── Stage 4: Cross-model only (all caches exist) ───────────────────────────── if [ "$STAGE" = "4" ]; then echo "[Stage 4] Cross-model analysis only" CUDA_VISIBLE_DEVICES=0 python "$SCRIPT" --run_all_models --dataset "$DATASET_UNIFIED" --output_dir "$OUT" --skip_extraction --cross_model --n_permutations 0 --max_iter 500 fi echo "Done."