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⚗️ Style Transfer: modify hyperparameters to fix dpo learning problem
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lib/style-transfer/bash/experiment/rb_gen/az/llama3.2-3b-complete.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_style_transfer \ | ||
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=0.3 \ | ||
dpo.training_args.num_train_epochs=80 \ | ||
dpo.percentile=70 |
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