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Hi, when I SFT a Qwen2.5-VL-32B model, I just want to fine-tune the aligner, so I set
--freeze_vit true
--freeze_llm true
--freeze_aligner false
But it does not work, part of log as follows:
2026-01-07T20:23:30.137320296+08:00 freeze_aligner=True,
2026-01-07T20:23:30.137322007+08:00 freeze_llm=False,
2026-01-07T20:23:30.137324016+08:00 freeze_parameters=['model.visual', 'model.visual.merger'],
2026-01-07T20:23:30.137325741+08:00 freeze_parameters_ratio=0.0,
2026-01-07T20:23:30.137327538+08:00 freeze_parameters_regex=None,
2026-01-07T20:23:30.137329196+08:00 freeze_vit=True,
I wonder the reason, and the whole setting of my training are as follows:
PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
NNODES=$nnodes \
NODE_RANK=$node_rank \
MASTER_ADDR=$master_addr \
MASTER_PORT=$master_port \
NPROC_PER_NODE=8 \
swift sft \
--model_type qwen2_5_vl \
--model XXX \
--train_type full \
--dataset XXX \
--load_from_cache_file true \
--bf16 true \
--micro_batch_size 1 \
--global_batch_size 256 \
--sequence_parallel_size 1 \
--recompute_granularity full \
--recompute_method uniform \
--recompute_num_layers 1 \
--split_dataset_ratio 0.0 \
--max_epochs 1 \
--cross_entropy_loss_fusion true \
--lr 1e-7 \
--lr_warmup_fraction 0.05 \
--min_lr 1e-7 \
--save XXX \
--save_interval 1000 \
--eval_interval 500 \
--max_length 16384 \
--num_workers 8 \
--dataset_num_proc 512 \
--no_save_optim true \
--no_save_rng true \
--attention_backend flash \
--deepspeed zero3 \
--freeze_llm true \
--freeze_vit true \
--freeze_aligner false
Thanks!
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