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#!/bin/bash
export TRANSFORMERS_CACHE=/fs/gamma-projects/audio/gama/hf_cache/
export HF_DATASETS_CACHE=/fs/gamma-projects/audio/gama/hf_cache/
output_dir='/fs/gamma-projects/audio/gama/new_data/stage4_all_mix_new/'
mkdir -p $output_dir
cp "$0" ${output_dir}/$(date +"%Y-%m-%d-%H-%M-%S").sh
OMP_NUM_THREADS=16 torchrun --nproc_per_node=8 --master_port=1234 ../finetune.py \
--base_model '/fs/gamma-projects/audio/gama/new_data/stage3_all_close/checkpoint-8000/pytorch_model.bin' \
--data_path '/fs/gamma-projects/audio/audio_datasets/openaqa_nexus_new.json' \
--output_dir $output_dir \
--batch_size 256 \
--micro_batch_size 2 \
--num_epochs 2 \
--learning_rate 1e-4 \
--cutoff_len 108 \
--val_set_size 0 \
--lora_r 8 \
--lora_alpha 16 \
--lora_dropout 0.05 \
--lora_target_modules '[q_proj,v_proj]' \
--train_on_inputs \
--group_by_length \
--wandb_run_name ${output_dir} \
--save_steps 100 \
--trainable_params qformer_all |