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modelscope--ms-swift/tests/train/test_resume_from_checkpoint.py
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Python

import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0,1,2,3'
os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1,2,3'
kwargs = {
'per_device_train_batch_size': 2,
'per_device_eval_batch_size': 2,
'save_steps': 5,
'logging_steps': 1,
'gradient_accumulation_steps': 4,
'num_train_epochs': 1,
'model': 'Qwen/Qwen2-0.5B',
'dataset': ['AI-ModelScope/alpaca-gpt4-data-zh#2000'],
'val_dataset': ['AI-ModelScope/alpaca-gpt4-data-zh#10'],
'max_steps': 10,
'dataset_num_proc': 4,
'dataloader_num_workers': 4,
'max_length': 2048,
# optional
# 'padding_free': True,
'packing': True,
'attn_impl': 'flash_attn',
# 'streaming': True,
'sequence_parallel_size': 2,
}
def test_resume_from_checkpoint():
from swift import InferArguments, SftArguments, infer_main, sft_main
result = sft_main(SftArguments(**kwargs))
last_model_checkpoint = result['last_model_checkpoint']
last_model_checkpoint = last_model_checkpoint.replace('checkpoint-10', 'checkpoint-5')
result2 = sft_main(SftArguments(**kwargs, resume_from_checkpoint=last_model_checkpoint))
diff = abs(result['log_history'][6]['loss'] - result2['log_history'][6]['loss'])
print(f'diff: {diff}')
assert diff < 0.01
if __name__ == '__main__':
test_resume_from_checkpoint()