torchrun --nnodes 1 --nproc_per_node 1 --master_port 29502 train4.py \ | |
--batch-size 2 \ | |
--model_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat_backup/model/OLMo-2-0425-1B" \ | |
--save_path "ckp/sft-v5-1e4-1sample" \ | |
--save_name "sft-v5-1e4-1sample" \ | |
--data_type SemiNATForMultiRoundMaskInputStream \ | |
--run_name "olmo2-1b-sft-v5-1sample" \ | |
--epochs 1000 \ | |
--chunk_size_limit 2 \ | |
--save_steps 300 \ | |
--lr 1e-5 \ | |
--weight_decay 0.1 \ | |
--eps 1e-8 \ | |
--dtype bf16 \ | |
--betas 0.9 0.95 \ | |
--warmup_ratio 0.1 \ | |
--data_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat/data/olmo2_sft_prob_multi_0621_86w_1sample.jsonl" \ | |
--max_length 1024 \ | |
--data_processess_num 0 \ | |
--use_wandb \ | |
# --data_path "/AIRvePFS/ai4science/users/ai4science/users/cal/SemiNAT_at_0617/AT_prob/olmo2_sft_prob_multi_0621_86w.jsonl" \ | |
# --use_lora \ | |
# torchrun --nnodes 1 --nproc_per_node 1 train.py \ | |
# --batch-size 1 \ | |
# --model_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat_backup/model/OLMoE-1B-7B-0924-SFT" \ | |
# --save_path "ckp/" \ | |
# --save_name "sft-v1" \ | |
# --epochs 10 \ | |
# --lr 1e-5 \ | |
# --data_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat_backup/data/sft_prob_chunk_0406_1k/train-00000-of-00001.parquet" \ | |
# --max_length 2048 \ | |
# --use_lora |