wehub-resource-sync
41 lines
1.2 KiB
Bash
41 lines
1.2 KiB
Bash
# 4*35GB
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# A demo for four modalities that can be run directly
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nproc_per_node=4
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# If using zero3, please set `ENABLE_AUDIO_OUTPUT=0`.
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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ENABLE_AUDIO_OUTPUT=1 \
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NPROC_PER_NODE=$nproc_per_node \
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VIDEO_MAX_PIXELS=50176 \
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FPS_MAX_FRAMES=12 \
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MAX_PIXELS=1003520 \
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swift sft \
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--model Qwen/Qwen2.5-Omni-7B \
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--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#2000' \
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'AI-ModelScope/LaTeX_OCR:human_handwrite#2000' \
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'speech_asr/speech_asr_aishell1_trainsets:validation#2000' \
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'swift/VideoChatGPT:all#2000' \
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--load_from_cache_file true \
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--split_dataset_ratio 0.01 \
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--tuner_type lora \
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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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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-4 \
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--lora_rank 8 \
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--lora_alpha 32 \
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--target_modules all-linear \
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--freeze_vit true \
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--freeze_aligner true \
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--gradient_accumulation_steps $(expr 16 / $nproc_per_node) \
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--eval_steps 50 \
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--save_steps 50 \
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--save_total_limit 2 \
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--logging_steps 5 \
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--max_length 2048 \
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--output_dir output \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 4 \
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--deepspeed zero2
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