| # Env: 8 * A100 | |
| # Max Length: 65536 | |
| # GPU Memory: 8 * 40GiB, Training Speed 26s/it | |
| NPROC_PER_NODE=8 \ | |
| CELOSS_PARALLEL_SIZE=2048 \ | |
| swift sft \ | |
| --model Qwen/Qwen2.5-3B-Instruct \ | |
| --dataset 'AI-ModelScope/LongAlpaca-12k' \ | |
| --load_from_cache_file true \ | |
| --train_type lora \ | |
| --torch_dtype bfloat16 \ | |
| --per_device_train_batch_size 4 \ | |
| --target_modules all-linear \ | |
| --gradient_accumulation_steps 8 \ | |
| --save_total_limit 2 \ | |
| --save_only_model true \ | |
| --save_steps 50 \ | |
| --max_length 65536 \ | |
| --warmup_ratio 0.05 \ | |
| --attn_impl flash_attn \ | |
| --sequence_parallel_size 8 \ | |
| --logging_steps 1 \ | |
| --use_logits_to_keep false \ | |
| --padding_free true \ | |