| torchrun --nnodes 1 --nproc_per_node 1 --master_port 29501 train5.py \ | |
| --batch-size 1 \ | |
| --model_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat_backup/model/OLMo-2-0425-1B" \ | |
| --decoder_layers 1 \ | |
| --encoder_layers 1 \ | |
| --mlp False \ | |
| --position_embedding_type "absolute" \ | |
| --base "pretrained" \ | |
| --save_path "ckp/sft-v5-1e4-1sample-resume" \ | |
| --save_name "sft-v5-1e4-1sample-resume" \ | |
| --data_type SemiNATForMultiRoundMaskInputStream \ | |
| --run_name "olmo2-1b-sft-v5-1sample" \ | |
| --epochs 10 \ | |
| --chunk_size_limit 5 \ | |
| --save_steps 10000 \ | |
| --lr 5e-4 \ | |
| --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 2048 \ | |
| --data_processess_num 0 \ | |
| --attn_implementation "flash_attention_2" \ | |
| --use_wandb \ | |
| # --ptm_model_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat/ckp/pretrain/model.pt" \ | |
| # --resume_path "/AIRvePFS/ai4science/users/ai4science/users/zyk/seminat/ckp/sft-v5-1e4-1sample-resume/sft-v5-1e4-1sample-resume-steps_300.pt" \ | |