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eval.sh

@@ -113,15 +113,30 @@ echo "Best Model: ${masc_best_stats[$MASC_MODEL]}"
 echo "Macro F1: ${masc_best_stats[$MASC_F1]}"
 echo "Accuracy: ${masc_best_stats[$MASC_ACC]}"
 
-
 # ============================================
-# MABSA evaluation (uncomment to use)
+# MABSA evaluation (uses best models from above)
 # ============================================
 
-python eval_tools.py \
-   --MATE_model ./checkpoints/MATE_custom/best_f1:XX.XXX.pt \
-   --MASC_model ./checkpoints/MASC_custom/best_f1:XX.XXX.pt \
-   --test_ds ./finetune_dataset/custom/test \
-   --task MABSA \
-   --gcn_layers 4 \
-   --device cuda:0
+# Auto-detect best MATE model
+BEST_MATE=$(ls -1 ./checkpoints/MATE_custom/best_f1:*.pt 2>/dev/null | sort -t: -k2 -rn | head -1)
+# Auto-detect best MASC model
+BEST_MASC=$(ls -1 ./checkpoints/MASC_custom/best_f1:*.pt 2>/dev/null | sort -t: -k2 -rn | head -1)
+
+if [ -n "$BEST_MATE" ] && [ -n "$BEST_MASC" ]; then
+    echo -e "\n========== MABSA Evaluation =========="
+    echo "Using MATE: $(basename "$BEST_MATE")"
+    echo "Using MASC: $(basename "$BEST_MASC")"
+    
+    python eval_tools.py \
+       --MATE_model "$BEST_MATE" \
+       --MASC_model "$BEST_MASC" \
+       --test_ds ./finetune_dataset/custom/test \
+       --task MABSA \
+       --gcn_layers 4 \
+       --device cuda:0
+else
+    echo -e "\n========== MABSA Evaluation =========="
+    echo "Skipped: Need both MATE and MASC best models"
+    [ -z "$BEST_MATE" ] && echo "  - Missing MATE model in ./checkpoints/MATE_custom/"
+    [ -z "$BEST_MASC" ] && echo "  - Missing MASC model in ./checkpoints/MASC_custom/"
+fi