diff --git a/Makefile b/Makefile
index 4b52ed8..b781e68 100644
--- a/Makefile
+++ b/Makefile
@@ -24,12 +24,49 @@ eval_frozen_encoder: eval.py training.csv
 
 train_frozen_layers: train.py training.csv
 	@echo "Training coordinate regressor with first transformer layers frozen..."
-	@bash -c 'source .venv/bin/activate && python train.py --output-path output_frozen_layers --freeze-transformer-layers 4 --epochs 10'
+	@bash -c 'source .venv/bin/activate && python train.py --output-path output_frozen_layers --freeze-transformer-layers 4 --epochs 50 --num-workers 0'
 
 eval_frozen_layers: eval.py training.csv
 	@echo "Evaluating frozen-layer coordinate regressor..."
 	@bash -c 'source .venv/bin/activate && python eval.py --model-path output_frozen_layers --output-file predictions_frozen_layers.csv --plot-file plots/prediction_map_frozen_layers.png --scatter-plot-file plots/predicted_vs_actual_frozen_layers.png'
 
+train_mpnet: train.py training.csv
+	@echo "Training with all-mpnet-base-v2 (encoder fully frozen, head only)..."
+	@bash -c 'source .venv/bin/activate && python train.py \
+		--model-name sentence-transformers/all-mpnet-base-v2 \
+		--output-path output_mpnet \
+		--freeze-encoder \
+		--hidden-dim 512 \
+		--head-learning-rate 1e-2 \
+		--epochs 50'
+
+train_mpnet_finetune: train.py training.csv
+	@echo "Training with all-mpnet-base-v2 (frozen first 10 of 12 layers)..."
+	@bash -c 'source .venv/bin/activate && python train.py \
+		--model-name sentence-transformers/all-mpnet-base-v2 \
+		--output-path output_mpnet_ft \
+		--freeze-transformer-layers 10 \
+		--hidden-dim 512 \
+		--head-learning-rate 1e-2 \
+		--batch-size 32 \
+		--epochs 50'
+
+eval_mpnet_finetune: eval.py training.csv
+	@echo "Evaluating all-mpnet-base-v2 fine-tuned coordinate regressor..."
+	@bash -c 'source .venv/bin/activate && python eval.py \
+		--model-path output_mpnet_ft \
+		--output-file predictions_mpnet_ft.csv \
+		--plot-file plots/prediction_map_mpnet_ft.png \
+		--scatter-plot-file plots/predicted_vs_actual_mpnet_ft.png'
+
+eval_mpnet: eval.py training.csv
+	@echo "Evaluating all-mpnet-base-v2 coordinate regressor..."
+	@bash -c 'source .venv/bin/activate && python eval.py \
+		--model-path output_mpnet \
+		--output-file predictions_mpnet.csv \
+		--plot-file plots/prediction_map_mpnet.png \
+		--scatter-plot-file plots/predicted_vs_actual_mpnet.png'
+
 lint:
 	@echo "Auto-linting files and performing final style checks..."
 	@bash -c 'source .venv/bin/activate && isort --profile=black *.py'
@@ -41,4 +78,4 @@ clean:
 	@rm -rf output/
 	@rm -f training.csv predictions.csv
 
-.PHONY: data train eval train_frozen_encoder eval_frozen_encoder train_frozen_layers eval_frozen_layers lint clean all
+.PHONY: data train eval train_frozen_encoder eval_frozen_encoder train_frozen_layers eval_frozen_layers train_mpnet eval_mpnet train_mpnet_finetune eval_mpnet_finetune lint clean all