wehub-resource-sync
67 lines
1.9 KiB
Bash
67 lines
1.9 KiB
Bash
# ms-swift>=3.11
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OMP_NUM_THREADS=14 \
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MAX_PIXELS=1003520 \
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VIDEO_MAX_PIXELS=50176 \
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FPS_MAX_FRAMES=12 \
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swift export \
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--model Qwen/Qwen2.5-Omni-7B \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#10000' \
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'AI-ModelScope/LaTeX_OCR:human_handwrite#5000' \
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'speech_asr/speech_asr_aishell1_trainsets:validation#5000' \
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--split_dataset_ratio 0.01 \
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--dataset_num_proc 16 \
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--to_cached_dataset true \
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--output_dir ./qwen2_5_omni_cached_dataset
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# 4 * 70GiB
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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MAX_PIXELS=1003520 \
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VIDEO_MAX_PIXELS=50176 \
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FPS_MAX_FRAMES=12 \
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NPROC_PER_NODE=4 \
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ENABLE_AUDIO_OUTPUT=0 \
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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swift sft \
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--model Qwen/Qwen2.5-Omni-7B \
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--tuner_type full \
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--cached_dataset './qwen2_5_omni_cached_dataset/train' \
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--cached_val_dataset './qwen2_5_omni_cached_dataset/val' \
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--num_train_epochs 1 \
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--torch_dtype bfloat16 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--learning_rate 1e-5 \
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--gradient_accumulation_steps 1 \
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--packing true \
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--freeze_llm false \
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--freeze_vit true \
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--freeze_aligner true \
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--eval_steps 200 \
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--save_steps 200 \
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--logging_steps 5 \
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--max_length 4096 \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--save_total_limit 2 \
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--save_only_model true \
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--output_dir output/Qwen2.5-Omni-7B \
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--deepspeed zero2 \
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--use_liger_kernel true \
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--attn_impl flash_attn
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# Use the validation set
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CUDA_VISIBLE_DEVICES=0 \
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MAX_PIXELS=1003520 \
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VIDEO_MAX_PIXELS=50176 \
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FPS_MAX_FRAMES=12 \
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ENABLE_AUDIO_OUTPUT=0 \
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swift infer \
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--model output/Qwen2.5-Omni-7B/vx-xxx/checkpoint-xxx \
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--load_data_args true \
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--max_length 4096 \
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--attn_impl flash_attn \
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--stream true \
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--temperature 0 \
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--max_new_tokens 512
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