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| torchrun --nproc_per_node=4 /home/tosi-n/ark/gorilla/supervised-fine-tune-qlora.py \ | |
| --model_name_or_path meta-llama/Llama-2-13b-hf \ | |
| --bf16 True \ | |
| --output_dir /home/tosi-n/ark/jack-alm/ \ | |
| --model_max_length 8192 \ | |
| --use_flash_attn True \ | |
| --data_path /home/tosi-n/ark/data/line_item_and_alm_data_v1.json \ | |
| --low_rank_training True \ | |
| --num_train_epochs 3 \ | |
| --per_device_train_batch_size 1 \ | |
| --per_device_eval_batch_size 2 \ | |
| --gradient_accumulation_steps 1 \ | |
| --evaluation_strategy "no" \ | |
| --save_strategy "steps" \ | |
| --save_steps 200 \ | |
| --save_total_limit 2 \ | |
| --learning_rate 2e-5 \ | |
| --weight_decay 0.0 \ | |
| --warmup_steps 20 \ | |
| --lr_scheduler_type "constant_with_warmup" \ | |
| --logging_steps 1 \ | |
| --deepspeed "/home/tosi-n/ark/gorilla/ds_configs/stage2.json" \ | |
| --tf32 True | |
| # |