在使用训练过的模型进行测试时遇到问题RuntimeError: storage has wrong size

[bestFannie]

你好，感谢开源！但是我在测试训练的模型时遇到了以下问题，请问是哪里出问题了呢？

model_type: bert-pho2-res-arch3
weight_dir: output
ckpt_name: saved_ckpt-11000
100%|████████████████████████████████████████████████████████████████| 35/35 [00:03<00:00, 10.99it/s]
test_batches: 35
Load model begin...
Traceback (most recent call last):
  File "src/test.py", line 180, in <module>
    device=args.device,
  File "src/test.py", line 126, in test
    model = model_class.from_pretrained(model_dir)
  File "/home/ReaLiSe/ReaLiSe-master/transformers/modeling_utils.py", line 409, in from_pretrained
    state_dict = torch.load(resolved_archive_file, map_location='cpu')
  File "/root/miniconda3/envs/f36/lib/python3.6/site-packages/torch/serialization.py", line 386, in load
    return _load(f, map_location, pickle_module, **pickle_load_args)
  File "/root/miniconda3/envs/f36/lib/python3.6/site-packages/torch/serialization.py", line 580, in _load
    deserialized_objects[key]._set_from_file(f, offset, f_should_read_directly)
RuntimeError: storage has wrong size: expected -4698162557506238965 got 2359296