|
#!/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 |
