# Problem in loading an old sentence classification roberta model generated using transformer version 3.0.2 with new library

**URL:** <https://discuss.huggingface.co/t/problem-in-loading-an-old-sentence-classification-roberta-model-generated-using-transformer-version-3-0-2-with-new-library/23831>\
**Category:** 🤗Transformers\
**Created:** [September 30, 2022, 1:27pm UTC](https://discuss.huggingface.co/t/problem-in-loading-an-old-sentence-classification-roberta-model-generated-using-transformer-version-3-0-2-with-new-library/23831 "2022-09-30T13:27:28Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Kankrate](https://avatars.discourse-cdn.com/v4/letter/k/5e9695/32.png) [@Kankrate](https://discuss.huggingface.co/u/Kankrate)\
**Post date:** [September 30, 2022, 1:27pm UTC](https://discuss.huggingface.co/t/problem-in-loading-an-old-sentence-classification-roberta-model-generated-using-transformer-version-3-0-2-with-new-library/23831/1 "2022-09-30T13:27:28Z")

</div>

Hello,

I created a roberta sentence classifier model last year using the transformer version 3.0.2. Currently, I am trying to upgrade the library in new virtual environment and load the model to perform prediction, but I keep getting an error as shown below. Please help me with possible solutions to this issue.

```auto

---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Cell In [9], line 47
     44 model = ROBERTAClassifier()
     45 model = model.to(device)
---> 47 load_checkpoint(model_path + '/model.pkl', model, device)
     49 df = evaluate(model, test_dataloader, filepath, category)
     51 t2 = time.perf_counter()

File ~/bert/training/training_roberta_08-10-2021/roberta_classifier_utils.py:157, in load_checkpoint(path, model, device)
    155 def load_checkpoint(path, model, device):    
    156 state_dict = torch.load(path, map_location=device)
--> 157 model.load_state_dict(state_dict['model_state_dict'])
    159 return state_dict['valid_loss']

File ~/python_envs/nlp_pipeline_2/lib/python3.9/site-packages/torch/nn/modules/module.py:1051, in Module.load_state_dict(self, state_dict, strict)
   1046 error_msgs.insert(
   1047 0, 'Missing key(s) in state_dict: {}. '.format(
   1048 ', '.join('"{}"'.format(k) for k in missing_keys)))
   1050 if len(error_msgs) > 0:
-> 1051 raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
   1052 self. __class__. __name__ , "\n\t".join(error_msgs)))
   1053 return _IncompatibleKeys(missing_keys, unexpected_keys)

RuntimeError: Error(s) in loading state_dict for ROBERTAClassifier:
	Missing key(s) in state_dict: "roberta.embeddings.position_ids". 

```