docs

src/README.md

@@ -2,25 +2,31 @@
 
 ## Quick: Check Ray Tune Progress
 
-**Current run:** PaddleOCR hyperparameter optimization via Ray Tune + Optuna.
-- 64 trials searching for optimal detection/recognition thresholds
-- 2 CPU workers running in parallel (Docker containers on ports 8001-8002)
-- Notebook: `paddle_ocr_raytune_rest.ipynb` → `output_raytune.ipynb`
-- Results saved to: `~/ray_results/trainable_paddle_ocr_2026-01-18_17-25-43/`
-
 ```bash
-# Is it still running?
+# Is papermill still running?
 ps aux | grep papermill | grep -v grep
 
 # View live log
 tail -f papermill.log
 
-# Count completed trials (64 total)
-find ~/ray_results/trainable_paddle_ocr_2026-01-18_17-25-43/ -name "result.json" ! -empty | wc -l
+# Find latest Ray Tune run and count completed trials
+LATEST=$(ls -td ~/ray_results/trainable_* 2>/dev/null | head -1)
+echo "Run: $LATEST"
+COMPLETED=$(find "$LATEST" -name "result.json" -size +0 2>/dev/null | wc -l)
+TOTAL=$(ls -d "$LATEST"/trainable_*/ 2>/dev/null | wc -l)
+echo "Completed: $COMPLETED / $TOTAL"
 
 # Check workers are healthy
-curl -s localhost:8001/health | jq -r '.status'
-curl -s localhost:8002/health | jq -r '.status'
+for port in 8001 8002 8003; do
+  status=$(curl -s "localhost:$port/health" 2>/dev/null | python3 -c "import sys,json; print(json.load(sys.stdin).get('status','down'))" 2>/dev/null || echo "down")
+  echo "Worker $port: $status"
+done
+
+# Show best result so far
+if [ "$COMPLETED" -gt 0 ]; then
+  find "$LATEST" -name "result.json" -size +0 -exec cat {} \; 2>/dev/null | \
+    python3 -c "import sys,json; results=[json.loads(l) for l in sys.stdin if l.strip()]; best=min(results,key=lambda x:x.get('CER',999)); print(f'Best CER: {best[\"CER\"]:.4f}, WER: {best[\"WER\"]:.4f}')" 2>/dev/null
+fi
 ```
 
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