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update readme
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@ -198,6 +198,8 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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--do_train \
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--dataset comparison_gpt4_en \
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--finetuning_type lora \
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--resume_lora_training False \
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--checkpoint_dir path_to_sft_checkpoint \
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--output_dir path_to_rm_checkpoint \
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--per_device_train_batch_size 4 \
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--gradient_accumulation_steps 4 \
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@ -219,6 +221,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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--do_train \
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--dataset alpaca_gpt4_en \
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--finetuning_type lora \
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--resume_lora_training False \
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--checkpoint_dir path_to_sft_checkpoint \
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--reward_model path_to_rm_checkpoint \
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--output_dir path_to_ppo_checkpoint \
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@ -229,7 +232,6 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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--save_steps 1000 \
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--learning_rate 1e-5 \
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--num_train_epochs 1.0 \
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--resume_lora_training False \
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--plot_loss
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```
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@ -198,6 +198,8 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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--do_train \
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--dataset comparison_gpt4_en \
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--finetuning_type lora \
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--resume_lora_training False \
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--checkpoint_dir path_to_sft_checkpoint \
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--output_dir path_to_rm_checkpoint \
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--per_device_train_batch_size 4 \
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--gradient_accumulation_steps 4 \
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@ -219,6 +221,7 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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--do_train \
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--dataset alpaca_gpt4_en \
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--finetuning_type lora \
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--resume_lora_training False \
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--checkpoint_dir path_to_sft_checkpoint \
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--reward_model path_to_rm_checkpoint \
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--output_dir path_to_ppo_checkpoint \
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@ -229,7 +232,6 @@ CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
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--save_steps 1000 \
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--learning_rate 1e-5 \
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--num_train_epochs 1.0 \
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--resume_lora_training False \
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--plot_loss
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```
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