⚗️ Style Transfer: add experiments

lib/style-transfer/bash/experiment/rb_gen/az/llama3.2-3b-complete-replaced.sh

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+export CUDA_VISIBLE_DEVICES=$1
+python style_transfer/run_rb_gen.py model.name=meta-llama/Llama-3.2-3B-Instruct \
+            model.peft_config.target_modules='["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"]' \
+            dataset.name=bio-datasets/mimic-iii-gpt4o-tokens \
+            max_steps=5 \
+            dataset.num_generated_samples=3500 \
+            score.model.model_name_or_path=sentence-transformers/all-mpnet-base-v2 \
+            dataset.sft_ratio=0.06 \
+            dataset.gen_ratio=0.7 \
+            dataset.sft_dataset=null \
+            sft.training_args.eval_steps=30 \
+            score.train.train_size=0.6 \
+            dpo.training_args.num_train_epochs=10 \
+            dpo.percentile=70 \
+            score.batch_size=8

lib/style-transfer/bash/experiment/rb_gen/az/llama3.2-3b-pb-seed-replaced.sh

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+export CUDA_VISIBLE_DEVICES=$1
+python style_transfer/run_rb_gen.py model.name=meta-llama/Llama-3.2-3B-Instruct \
+            model.peft_config.target_modules='["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"]' \
+            dataset.name=bio-datasets/mimic-iii-gpt4o-tokens \
+            max_steps=5 \
+            dataset.num_generated_samples=3500 \
+            score.model.model_name_or_path=sentence-transformers/all-mpnet-base-v2 \
+            dataset.sft_ratio=0.06 \
+            dataset.gen_ratio=0.7 \
+            sft.training_args.eval_steps=30 \
+            score.train.train_size=0.6 \
+            dataset.sft_dataset.size=977 \
+            dpo.training_args.num_train_epochs=20 \
+            dpo.percentile=70 \
+            score.batch_size=8