| # 4 * 36GB | |
| # A demo using the Hugging Face dataset | |
| # The first model weights will be saved around step 70. | |
| NPROC_PER_NODE=4 \ | |
| MAX_PIXELS=1003520 \ | |
| CUDA_VISIBLE_DEVICES=0,1,2,3 \ | |
| HF_ENDPOINT=https://hf-mirror.com \ | |
| swift sft \ | |
| --model Qwen/Qwen2.5-VL-7B-Instruct \ | |
| --train_type lora \ | |
| --dataset 'HF::linxy/LaTeX_OCR:full#20000' \ | |
| --torch_dtype bfloat16 \ | |
| --attn_impl flash_attn \ | |
| --streaming true \ | |
| --shuffle_buffer_size 1000 \ | |
| --packing true \ | |
| --save_strategy epoch \ | |
| --max_steps 1000 \ | |
| --max_epochs 5 \ | |
| --per_device_train_batch_size 1 \ | |
| --per_device_eval_batch_size 1 \ | |
| --learning_rate 1e-4 \ | |
| --lora_rank 8 \ | |
| --lora_alpha 32 \ | |
| --target_modules all-linear \ | |
| --gradient_accumulation_steps 1 \ | |
| --save_total_limit 2 \ | |
| --logging_steps 5 \ | |
| --max_length 8192 \ | |
| --output_dir output \ | |
| --warmup_ratio 0.05 \ | |
| --dataloader_num_workers 1 \ | |
| --dataset_num_proc 8 \ | |
| --deepspeed zero2 | |