wehub-resource-sync
90 lines
2.9 KiB
Python
90 lines
2.9 KiB
Python
import os
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os.environ['CUDA_VISIBLE_DEVICES'] = '0'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0'
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kwargs = {
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'per_device_train_batch_size': 2,
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'save_steps': 5,
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'gradient_accumulation_steps': 4,
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'num_train_epochs': 1,
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}
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def test_full_vit():
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os.environ['MAX_PIXELS'] = '100352'
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os.environ['SIZE_FACTOR'] = '12'
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os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1'
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from swift import InferArguments, SftArguments, infer_main, sft_main
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sft_main(
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SftArguments(
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model='Qwen/Qwen2-VL-7B-Instruct',
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dataset=['modelscope/coco_2014_caption:validation#20', 'AI-ModelScope/alpaca-gpt4-data-en#20'],
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split_dataset_ratio=0.01,
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tuner_type='full',
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freeze_llm=True,
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freeze_vit=False,
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freeze_aligner=True,
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**kwargs))
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def test_full_aligner():
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os.environ['MAX_PIXELS'] = '100352'
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os.environ['SIZE_FACTOR'] = '12'
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os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1'
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from swift import InferArguments, SftArguments, infer_main, sft_main
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sft_main(
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SftArguments(
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model='Qwen/Qwen2-VL-7B-Instruct',
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dataset=['modelscope/coco_2014_caption:validation#20', 'AI-ModelScope/alpaca-gpt4-data-en#20'],
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split_dataset_ratio=0.01,
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tuner_type='full',
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freeze_llm=True,
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freeze_vit=True,
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freeze_aligner=False,
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**kwargs))
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def test_lora_vit():
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os.environ['MAX_PIXELS'] = '100352'
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os.environ['SIZE_FACTOR'] = '12'
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os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1'
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from swift import InferArguments, SftArguments, infer_main, sft_main
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sft_main(
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SftArguments(
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model='Qwen/Qwen2-VL-7B-Instruct',
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dataset=['modelscope/coco_2014_caption:validation#20', 'AI-ModelScope/alpaca-gpt4-data-en#20'],
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split_dataset_ratio=0.01,
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tuner_type='lora',
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freeze_llm=True,
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freeze_vit=False,
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freeze_aligner=True,
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**kwargs))
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def test_lora_aligner():
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os.environ['MAX_PIXELS'] = '100352'
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os.environ['SIZE_FACTOR'] = '12'
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os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1'
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from swift import InferArguments, SftArguments, infer_main, sft_main
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sft_main(
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SftArguments(
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model='Qwen/Qwen2-VL-7B-Instruct',
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dataset=['modelscope/coco_2014_caption:validation#20', 'AI-ModelScope/alpaca-gpt4-data-en#20'],
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split_dataset_ratio=0.01,
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tuner_type='lora',
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freeze_llm=True,
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freeze_vit=True,
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freeze_aligner=False,
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**kwargs))
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if __name__ == '__main__':
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# test_full_vit()
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test_full_aligner()
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# test_lora_vit()
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# test_lora_aligner()
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