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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/test_gama/stage1'
mkdir -p $output_dir
cp "$0" ${output_dir}/$(date +"%Y-%m-%d-%H-%M-%S").sh
torchrun --nproc_per_node=4 --master_port=1234 ../finetune.py \
--base_model '/fs/nexus-projects/brain_project/acl_sk_24/GAMA/src/Llama-2-7b-chat-hf-qformer' \
--data_path '/fs/gamma-projects/audio/audio_datasets/combine_cla_nexus_new.json' \
--output_dir $output_dir \
--batch_size 256 \
--micro_batch_size 4 \
--num_epochs 2 \
--learning_rate 1e-3 \
--cutoff_len 108 \
--val_set_size 0 \
--lora_r 8 \
--lora_alpha 16 \
--lora_dropout 0.05 \
--lora_target_modules ['dummy'] \
--train_on_inputs \
--wandb_run_name ${output_dir} \
--group_by_length \
--save_steps 500 \
--trainable_params qformer |