wehub-resource-sync
35 lines
958 B
Python
35 lines
958 B
Python
import os
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kwargs = {
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'per_device_train_batch_size': 5,
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'save_steps': 5,
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'gradient_accumulation_steps': 1,
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'num_train_epochs': 1,
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}
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def test_train_eval_loop():
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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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from swift import SftArguments, sft_main
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sft_main(
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SftArguments(
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model='Qwen/Qwen2.5-0.5B-Instruct',
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dataset=['AI-ModelScope/alpaca-gpt4-data-zh#100'],
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target_modules=['all-linear', 'all-embedding'],
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modules_to_save=['all-embedding', 'all-norm'],
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eval_strategy='steps',
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eval_steps=5,
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per_device_eval_batch_size=5,
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eval_use_evalscope=True,
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eval_dataset=['gsm8k'],
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eval_dataset_args={'gsm8k': {
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'few_shot_num': 0
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}},
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eval_limit=10,
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**kwargs))
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if __name__ == '__main__':
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test_train_eval_loop()
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