# Loading pytorch\_pretrained\_bert models with transformers

**URL:** <https://discuss.huggingface.co/t/loading-pytorch-pretrained-bert-models-with-transformers/5845>\
**Category:** Beginners\
**Created:** [April 29, 2021, 7:57am UTC](https://discuss.huggingface.co/t/loading-pytorch-pretrained-bert-models-with-transformers/5845 "2021-04-29T07:57:21Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![yifan](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/yifan/32/1531_2.png) [@yifan](https://discuss.huggingface.co/u/yifan)\
**Post date:** [April 29, 2021, 7:57am UTC](https://discuss.huggingface.co/t/loading-pytorch-pretrained-bert-models-with-transformers/5845/1 "2021-04-29T07:57:21Z")

</div>

Hi, I have a model (checkpoint) based pytorch\_pretrained\_bert. I am converting it to use the latest transformer code. I have defined the model:

```
class BertForTokenAndSequenceJointClassification(BertPreTrainedModel)

```

and I am loading it with:

```
model = BertForTokenAndSequenceJointClassification.from_pretrained(
    pretrained_model_name_or_path="bert-base-cased",
    state_dict=torch.load("./20190509-115940.pt", map_location=torch.device('cpu')),
)

```

I am getting warnings:  
Some weights of the model checkpoint at bert-base-cased were not used when initializing BertForTokenAndSequenceJointClassification: [‘module.bert.embeddings.word\_embeddings.weight’, ‘module.bert.embeddings.position\_embeddings.weight’, ‘module.bert.embeddings.token\_type\_embeddings.weight’, ‘module.bert.embeddings.LayerNorm.weight’, ‘module.bert.embeddings.LayerNorm.bias’, ‘module.bert.encoder.layer.0.attention.self.query.weight’, ‘module.bert.encoder.layer.0.attention.self.query.bias’, ‘module.bert.encoder.layer.0.attention.self.key.weight’, ‘module.bert.encoder.layer.0.attention.self.key.bias’, ‘module.bert.encoder.layer.0.attention.self.value.weight’, ‘module.bert.encoder.layer.0.attention.self.value.bias’, ‘module.bert.encoder.layer.0.attention.output.dense.weight’, ‘module.bert.encoder.layer.0.attention.output.dense.bias’, ‘module.bert.encoder.layer.0.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.0.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.0.intermediate.dense.weight’, ‘module.bert.encoder.layer.0.intermediate.dense.bias’, ‘module.bert.encoder.layer.0.output.dense.weight’, ‘module.bert.encoder.layer.0.output.dense.bias’, ‘module.bert.encoder.layer.0.output.LayerNorm.weight’, ‘module.bert.encoder.layer.0.output.LayerNorm.bias’, ‘module.bert.encoder.layer.1.attention.self.query.weight’, ‘module.bert.encoder.layer.1.attention.self.query.bias’, ‘module.bert.encoder.layer.1.attention.self.key.weight’, ‘module.bert.encoder.layer.1.attention.self.key.bias’, ‘module.bert.encoder.layer.1.attention.self.value.weight’, ‘module.bert.encoder.layer.1.attention.self.value.bias’, ‘module.bert.encoder.layer.1.attention.output.dense.weight’, ‘module.bert.encoder.layer.1.attention.output.dense.bias’, ‘module.bert.encoder.layer.1.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.1.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.1.intermediate.dense.weight’, ‘module.bert.encoder.layer.1.intermediate.dense.bias’, ‘module.bert.encoder.layer.1.output.dense.weight’, ‘module.bert.encoder.layer.1.output.dense.bias’, ‘module.bert.encoder.layer.1.output.LayerNorm.weight’, ‘module.bert.encoder.layer.1.output.LayerNorm.bias’, ‘module.bert.encoder.layer.2.attention.self.query.weight’, ‘module.bert.encoder.layer.2.attention.self.query.bias’, ‘module.bert.encoder.layer.2.attention.self.key.weight’, ‘module.bert.encoder.layer.2.attention.self.key.bias’, ‘module.bert.encoder.layer.2.attention.self.value.weight’, ‘module.bert.encoder.layer.2.attention.self.value.bias’, ‘module.bert.encoder.layer.2.attention.output.dense.weight’, ‘module.bert.encoder.layer.2.attention.output.dense.bias’, ‘module.bert.encoder.layer.2.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.2.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.2.intermediate.dense.weight’, ‘module.bert.encoder.layer.2.intermediate.dense.bias’, ‘module.bert.encoder.layer.2.output.dense.weight’, ‘module.bert.encoder.layer.2.output.dense.bias’, ‘module.bert.encoder.layer.2.output.LayerNorm.weight’, ‘module.bert.encoder.layer.2.output.LayerNorm.bias’, ‘module.bert.encoder.layer.3.attention.self.query.weight’, ‘module.bert.encoder.layer.3.attention.self.query.bias’, ‘module.bert.encoder.layer.3.attention.self.key.weight’, ‘module.bert.encoder.layer.3.attention.self.key.bias’, ‘module.bert.encoder.layer.3.attention.self.value.weight’, ‘module.bert.encoder.layer.3.attention.self.value.bias’, ‘module.bert.encoder.layer.3.attention.output.dense.weight’, ‘module.bert.encoder.layer.3.attention.output.dense.bias’, ‘module.bert.encoder.layer.3.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.3.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.3.intermediate.dense.weight’, ‘module.bert.encoder.layer.3.intermediate.dense.bias’, ‘module.bert.encoder.layer.3.output.dense.weight’, ‘module.bert.encoder.layer.3.output.dense.bias’, ‘module.bert.encoder.layer.3.output.LayerNorm.weight’, ‘module.bert.encoder.layer.3.output.LayerNorm.bias’, ‘module.bert.encoder.layer.4.attention.self.query.weight’, ‘module.bert.encoder.layer.4.attention.self.query.bias’, ‘module.bert.encoder.layer.4.attention.self.key.weight’, ‘module.bert.encoder.layer.4.attention.self.key.bias’, ‘module.bert.encoder.layer.4.attention.self.value.weight’, ‘module.bert.encoder.layer.4.attention.self.value.bias’, ‘module.bert.encoder.layer.4.attention.output.dense.weight’, ‘module.bert.encoder.layer.4.attention.output.dense.bias’, ‘module.bert.encoder.layer.4.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.4.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.4.intermediate.dense.weight’, ‘module.bert.encoder.layer.4.intermediate.dense.bias’, ‘module.bert.encoder.layer.4.output.dense.weight’, ‘module.bert.encoder.layer.4.output.dense.bias’, ‘module.bert.encoder.layer.4.output.LayerNorm.weight’, ‘module.bert.encoder.layer.4.output.LayerNorm.bias’, ‘module.bert.encoder.layer.5.attention.self.query.weight’, ‘module.bert.encoder.layer.5.attention.self.query.bias’, ‘module.bert.encoder.layer.5.attention.self.key.weight’, ‘module.bert.encoder.layer.5.attention.self.key.bias’, ‘module.bert.encoder.layer.5.attention.self.value.weight’, ‘module.bert.encoder.layer.5.attention.self.value.bias’, ‘module.bert.encoder.layer.5.attention.output.dense.weight’, ‘module.bert.encoder.layer.5.attention.output.dense.bias’, ‘module.bert.encoder.layer.5.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.5.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.5.intermediate.dense.weight’, ‘module.bert.encoder.layer.5.intermediate.dense.bias’, ‘module.bert.encoder.layer.5.output.dense.weight’, ‘module.bert.encoder.layer.5.output.dense.bias’, ‘module.bert.encoder.layer.5.output.LayerNorm.weight’, ‘module.bert.encoder.layer.5.output.LayerNorm.bias’, ‘module.bert.encoder.layer.6.attention.self.query.weight’, ‘module.bert.encoder.layer.6.attention.self.query.bias’, ‘module.bert.encoder.layer.6.attention.self.key.weight’, ‘module.bert.encoder.layer.6.attention.self.key.bias’, ‘module.bert.encoder.layer.6.attention.self.value.weight’, ‘module.bert.encoder.layer.6.attention.self.value.bias’, ‘module.bert.encoder.layer.6.attention.output.dense.weight’, ‘module.bert.encoder.layer.6.attention.output.dense.bias’, ‘module.bert.encoder.layer.6.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.6.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.6.intermediate.dense.weight’, ‘module.bert.encoder.layer.6.intermediate.dense.bias’, ‘module.bert.encoder.layer.6.output.dense.weight’, ‘module.bert.encoder.layer.6.output.dense.bias’, ‘module.bert.encoder.layer.6.output.LayerNorm.weight’, ‘module.bert.encoder.layer.6.output.LayerNorm.bias’, ‘module.bert.encoder.layer.7.attention.self.query.weight’, ‘module.bert.encoder.layer.7.attention.self.query.bias’, ‘module.bert.encoder.layer.7.attention.self.key.weight’, ‘module.bert.encoder.layer.7.attention.self.key.bias’, ‘module.bert.encoder.layer.7.attention.self.value.weight’, ‘module.bert.encoder.layer.7.attention.self.value.bias’, ‘module.bert.encoder.layer.7.attention.output.dense.weight’, ‘module.bert.encoder.layer.7.attention.output.dense.bias’, ‘module.bert.encoder.layer.7.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.7.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.7.intermediate.dense.weight’, ‘module.bert.encoder.layer.7.intermediate.dense.bias’, ‘module.bert.encoder.layer.7.output.dense.weight’, ‘module.bert.encoder.layer.7.output.dense.bias’, ‘module.bert.encoder.layer.7.output.LayerNorm.weight’, ‘module.bert.encoder.layer.7.output.LayerNorm.bias’, ‘module.bert.encoder.layer.8.attention.self.query.weight’, ‘module.bert.encoder.layer.8.attention.self.query.bias’, ‘module.bert.encoder.layer.8.attention.self.key.weight’, ‘module.bert.encoder.layer.8.attention.self.key.bias’, ‘module.bert.encoder.layer.8.attention.self.value.weight’, ‘module.bert.encoder.layer.8.attention.self.value.bias’, ‘module.bert.encoder.layer.8.attention.output.dense.weight’, ‘module.bert.encoder.layer.8.attention.output.dense.bias’, ‘module.bert.encoder.layer.8.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.8.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.8.intermediate.dense.weight’, ‘module.bert.encoder.layer.8.intermediate.dense.bias’, ‘module.bert.encoder.layer.8.output.dense.weight’, ‘module.bert.encoder.layer.8.output.dense.bias’, ‘module.bert.encoder.layer.8.output.LayerNorm.weight’, ‘module.bert.encoder.layer.8.output.LayerNorm.bias’, ‘module.bert.encoder.layer.9.attention.self.query.weight’, ‘module.bert.encoder.layer.9.attention.self.query.bias’, ‘module.bert.encoder.layer.9.attention.self.key.weight’, ‘module.bert.encoder.layer.9.attention.self.key.bias’, ‘module.bert.encoder.layer.9.attention.self.value.weight’, ‘module.bert.encoder.layer.9.attention.self.value.bias’, ‘module.bert.encoder.layer.9.attention.output.dense.weight’, ‘module.bert.encoder.layer.9.attention.output.dense.bias’, ‘module.bert.encoder.layer.9.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.9.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.9.intermediate.dense.weight’, ‘module.bert.encoder.layer.9.intermediate.dense.bias’, ‘module.bert.encoder.layer.9.output.dense.weight’, ‘module.bert.encoder.layer.9.output.dense.bias’, ‘module.bert.encoder.layer.9.output.LayerNorm.weight’, ‘module.bert.encoder.layer.9.output.LayerNorm.bias’, ‘module.bert.encoder.layer.10.attention.self.query.weight’, ‘module.bert.encoder.layer.10.attention.self.query.bias’, ‘module.bert.encoder.layer.10.attention.self.key.weight’, ‘module.bert.encoder.layer.10.attention.self.key.bias’, ‘module.bert.encoder.layer.10.attention.self.value.weight’, ‘module.bert.encoder.layer.10.attention.self.value.bias’, ‘module.bert.encoder.layer.10.attention.output.dense.weight’, ‘module.bert.encoder.layer.10.attention.output.dense.bias’, ‘module.bert.encoder.layer.10.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.10.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.10.intermediate.dense.weight’, ‘module.bert.encoder.layer.10.intermediate.dense.bias’, ‘module.bert.encoder.layer.10.output.dense.weight’, ‘module.bert.encoder.layer.10.output.dense.bias’, ‘module.bert.encoder.layer.10.output.LayerNorm.weight’, ‘module.bert.encoder.layer.10.output.LayerNorm.bias’, ‘module.bert.encoder.layer.11.attention.self.query.weight’, ‘module.bert.encoder.layer.11.attention.self.query.bias’, ‘module.bert.encoder.layer.11.attention.self.key.weight’, ‘module.bert.encoder.layer.11.attention.self.key.bias’, ‘module.bert.encoder.layer.11.attention.self.value.weight’, ‘module.bert.encoder.layer.11.attention.self.value.bias’, ‘module.bert.encoder.layer.11.attention.output.dense.weight’, ‘module.bert.encoder.layer.11.attention.output.dense.bias’, ‘module.bert.encoder.layer.11.attention.output.LayerNorm.weight’, ‘module.bert.encoder.layer.11.attention.output.LayerNorm.bias’, ‘module.bert.encoder.layer.11.intermediate.dense.weight’, ‘module.bert.encoder.layer.11.intermediate.dense.bias’, ‘module.bert.encoder.layer.11.output.dense.weight’, ‘module.bert.encoder.layer.11.output.dense.bias’, ‘module.bert.encoder.layer.11.output.LayerNorm.weight’, ‘module.bert.encoder.layer.11.output.LayerNorm.bias’, ‘module.bert.pooler.dense.weight’, ‘module.bert.pooler.dense.bias’, ‘module.classifier.0.weight’, ‘module.classifier.0.bias’, ‘module.classifier.1.weight’, ‘module.classifier.1.bias’, ‘module.masking\_gate.weight’, ‘module.masking\_gate.bias’, ‘module.merge\_classifier\_1.weight’, ‘module.merge\_classifier\_1.bias’]

```
Some weights of BertForTokenAndSequenceJointClassification were not initialized from the model checkpoint at bert-base-cased and are newly initialized: ['embeddings.word_embeddings.weight', 'embeddings.position_embeddings.weight', 'embeddings.token_type_embeddings.weight', 'embeddings.LayerNorm.weight', 'embeddings.LayerNorm.bias', 'encoder.layer.0.attention.self.query.weight', 'encoder.layer.0.attention.self.query.bias', 'encoder.layer.0.attention.self.key.weight', 'encoder.layer.0.attention.self.key.bias', 'encoder.layer.0.attention.self.value.weight', 'encoder.layer.0.attention.self.value.bias', 'encoder.layer.0.attention.output.dense.weight', 'encoder.layer.0.attention.output.dense.bias', 'encoder.layer.0.attention.output.LayerNorm.weight', 'encoder.layer.0.attention.output.LayerNorm.bias', 'encoder.layer.0.intermediate.dense.weight', 'encoder.layer.0.intermediate.dense.bias', 'encoder.layer.0.output.dense.weight', 'encoder.layer.0.output.dense.bias', 'encoder.layer.0.output.LayerNorm.weight', 'encoder.layer.0.output.LayerNorm.bias', 'encoder.layer.1.attention.self.query.weight', 'encoder.layer.1.attention.self.query.bias', 'encoder.layer.1.attention.self.key.weight', 'encoder.layer.1.attention.self.key.bias', 'encoder.layer.1.attention.self.value.weight', 'encoder.layer.1.attention.self.value.bias', 'encoder.layer.1.attention.output.dense.weight', 'encoder.layer.1.attention.output.dense.bias', 'encoder.layer.1.attention.output.LayerNorm.weight', 'encoder.layer.1.attention.output.LayerNorm.bias', 'encoder.layer.1.intermediate.dense.weight', 'encoder.layer.1.intermediate.dense.bias', 'encoder.layer.1.output.dense.weight', 'encoder.layer.1.output.dense.bias', 'encoder.layer.1.output.LayerNorm.weight', 'encoder.layer.1.output.LayerNorm.bias', 'encoder.layer.2.attention.self.query.weight', 'encoder.layer.2.attention.self.query.bias', 'encoder.layer.2.attention.self.key.weight', 'encoder.layer.2.attention.self.key.bias', 'encoder.layer.2.attention.self.value.weight', 'encoder.layer.2.attention.self.value.bias', 'encoder.layer.2.attention.output.dense.weight', 'encoder.layer.2.attention.output.dense.bias', 'encoder.layer.2.attention.output.LayerNorm.weight', 'encoder.layer.2.attention.output.LayerNorm.bias', 'encoder.layer.2.intermediate.dense.weight', 'encoder.layer.2.intermediate.dense.bias', 'encoder.layer.2.output.dense.weight', 'encoder.layer.2.output.dense.bias', 'encoder.layer.2.output.LayerNorm.weight', 'encoder.layer.2.output.LayerNorm.bias', 'encoder.layer.3.attention.self.query.weight', 'encoder.layer.3.attention.self.query.bias', 'encoder.layer.3.attention.self.key.weight', 'encoder.layer.3.attention.self.key.bias', 'encoder.layer.3.attention.self.value.weight', 'encoder.layer.3.attention.self.value.bias', 'encoder.layer.3.attention.output.dense.weight', 'encoder.layer.3.attention.output.dense.bias', 'encoder.layer.3.attention.output.LayerNorm.weight', 'encoder.layer.3.attention.output.LayerNorm.bias', 'encoder.layer.3.intermediate.dense.weight', 'encoder.layer.3.intermediate.dense.bias', 'encoder.layer.3.output.dense.weight', 'encoder.layer.3.output.dense.bias', 'encoder.layer.3.output.LayerNorm.weight', 'encoder.layer.3.output.LayerNorm.bias', 'encoder.layer.4.attention.self.query.weight', 'encoder.layer.4.attention.self.query.bias', 'encoder.layer.4.attention.self.key.weight', 'encoder.layer.4.attention.self.key.bias', 'encoder.layer.4.attention.self.value.weight', 'encoder.layer.4.attention.self.value.bias', 'encoder.layer.4.attention.output.dense.weight', 'encoder.layer.4.attention.output.dense.bias', 'encoder.layer.4.attention.output.LayerNorm.weight', 'encoder.layer.4.attention.output.LayerNorm.bias', 'encoder.layer.4.intermediate.dense.weight', 'encoder.layer.4.intermediate.dense.bias', 'encoder.layer.4.output.dense.weight', 'encoder.layer.4.output.dense.bias', 'encoder.layer.4.output.LayerNorm.weight', 'encoder.layer.4.output.LayerNorm.bias', 'encoder.layer.5.attention.self.query.weight', 'encoder.layer.5.attention.self.query.bias', 'encoder.layer.5.attention.self.key.weight', 'encoder.layer.5.attention.self.key.bias', 'encoder.layer.5.attention.self.value.weight', 'encoder.layer.5.attention.self.value.bias', 'encoder.layer.5.attention.output.dense.weight', 'encoder.layer.5.attention.output.dense.bias', 'encoder.layer.5.attention.output.LayerNorm.weight', 'encoder.layer.5.attention.output.LayerNorm.bias', 'encoder.layer.5.intermediate.dense.weight', 'encoder.layer.5.intermediate.dense.bias', 'encoder.layer.5.output.dense.weight', 'encoder.layer.5.output.dense.bias', 'encoder.layer.5.output.LayerNorm.weight', 'encoder.layer.5.output.LayerNorm.bias', 'encoder.layer.6.attention.self.query.weight', 'encoder.layer.6.attention.self.query.bias', 'encoder.layer.6.attention.self.key.weight', 'encoder.layer.6.attention.self.key.bias', 'encoder.layer.6.attention.self.value.weight', 'encoder.layer.6.attention.self.value.bias', 'encoder.layer.6.attention.output.dense.weight', 'encoder.layer.6.attention.output.dense.bias', 'encoder.layer.6.attention.output.LayerNorm.weight', 'encoder.layer.6.attention.output.LayerNorm.bias', 'encoder.layer.6.intermediate.dense.weight', 'encoder.layer.6.intermediate.dense.bias', 'encoder.layer.6.output.dense.weight', 'encoder.layer.6.output.dense.bias', 'encoder.layer.6.output.LayerNorm.weight', 'encoder.layer.6.output.LayerNorm.bias', 'encoder.layer.7.attention.self.query.weight', 'encoder.layer.7.attention.self.query.bias', 'encoder.layer.7.attention.self.key.weight', 'encoder.layer.7.attention.self.key.bias', 'encoder.layer.7.attention.self.value.weight', 'encoder.layer.7.attention.self.value.bias', 'encoder.layer.7.attention.output.dense.weight', 'encoder.layer.7.attention.output.dense.bias', 'encoder.layer.7.attention.output.LayerNorm.weight', 'encoder.layer.7.attention.output.LayerNorm.bias', 'encoder.layer.7.intermediate.dense.weight', 'encoder.layer.7.intermediate.dense.bias', 'encoder.layer.7.output.dense.weight', 'encoder.layer.7.output.dense.bias', 'encoder.layer.7.output.LayerNorm.weight', 'encoder.layer.7.output.LayerNorm.bias', 'encoder.layer.8.attention.self.query.weight', 'encoder.layer.8.attention.self.query.bias', 'encoder.layer.8.attention.self.key.weight', 'encoder.layer.8.attention.self.key.bias', 'encoder.layer.8.attention.self.value.weight', 'encoder.layer.8.attention.self.value.bias', 'encoder.layer.8.attention.output.dense.weight', 'encoder.layer.8.attention.output.dense.bias', 'encoder.layer.8.attention.output.LayerNorm.weight', 'encoder.layer.8.attention.output.LayerNorm.bias', 'encoder.layer.8.intermediate.dense.weight', 'encoder.layer.8.intermediate.dense.bias', 'encoder.layer.8.output.dense.weight', 'encoder.layer.8.output.dense.bias', 'encoder.layer.8.output.LayerNorm.weight', 'encoder.layer.8.output.LayerNorm.bias', 'encoder.layer.9.attention.self.query.weight', 'encoder.layer.9.attention.self.query.bias', 'encoder.layer.9.attention.self.key.weight', 'encoder.layer.9.attention.self.key.bias', 'encoder.layer.9.attention.self.value.weight', 'encoder.layer.9.attention.self.value.bias', 'encoder.layer.9.attention.output.dense.weight', 'encoder.layer.9.attention.output.dense.bias', 'encoder.layer.9.attention.output.LayerNorm.weight', 'encoder.layer.9.attention.output.LayerNorm.bias', 'encoder.layer.9.intermediate.dense.weight', 'encoder.layer.9.intermediate.dense.bias', 'encoder.layer.9.output.dense.weight', 'encoder.layer.9.output.dense.bias', 'encoder.layer.9.output.LayerNorm.weight', 'encoder.layer.9.output.LayerNorm.bias', 'encoder.layer.10.attention.self.query.weight', 'encoder.layer.10.attention.self.query.bias', 'encoder.layer.10.attention.self.key.weight', 'encoder.layer.10.attention.self.key.bias', 'encoder.layer.10.attention.self.value.weight', 'encoder.layer.10.attention.self.value.bias', 'encoder.layer.10.attention.output.dense.weight', 'encoder.layer.10.attention.output.dense.bias', 'encoder.layer.10.attention.output.LayerNorm.weight', 'encoder.layer.10.attention.output.LayerNorm.bias', 'encoder.layer.10.intermediate.dense.weight', 'encoder.layer.10.intermediate.dense.bias', 'encoder.layer.10.output.dense.weight', 'encoder.layer.10.output.dense.bias', 'encoder.layer.10.output.LayerNorm.weight', 'encoder.layer.10.output.LayerNorm.bias', 'encoder.layer.11.attention.self.query.weight', 'encoder.layer.11.attention.self.query.bias', 'encoder.layer.11.attention.self.key.weight', 'encoder.layer.11.attention.self.key.bias', 'encoder.layer.11.attention.self.value.weight', 'encoder.layer.11.attention.self.value.bias', 'encoder.layer.11.attention.output.dense.weight', 'encoder.layer.11.attention.output.dense.bias', 'encoder.layer.11.attention.output.LayerNorm.weight', 'encoder.layer.11.attention.output.LayerNorm.bias', 'encoder.layer.11.intermediate.dense.weight', 'encoder.layer.11.intermediate.dense.bias', 'encoder.layer.11.output.dense.weight', 'encoder.layer.11.output.dense.bias', 'encoder.layer.11.output.LayerNorm.weight', 'encoder.layer.11.output.LayerNorm.bias', 'pooler.dense.weight', 'pooler.dense.bias', 'classifiers.0.bias', 'classifiers.0.weight', 'classifiers.1.weight', 'classifiers.1.bias', 'masking_gate.weight', 'masking_gate.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

```

What does it mean? Does it mean those weights in the list was not loaded from checkpoint?

---

<div class="post-metadata">

**Author:** ![yifan](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/yifan/32/1531_2.png) [@yifan](https://discuss.huggingface.co/u/yifan)\
**Post date:** [April 29, 2021, 8:05am UTC](https://discuss.huggingface.co/t/loading-pytorch-pretrained-bert-models-with-transformers/5845/2 "2021-04-29T08:05:18Z")

</div>

Okay, went through the source code it does indicate those weights are unexpected.

---

<div class="post-metadata">

**Author:** ![yifan](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/yifan/32/1531_2.png) [@yifan](https://discuss.huggingface.co/u/yifan)\
**Post date:** [April 29, 2021, 9:34am UTC](https://discuss.huggingface.co/t/loading-pytorch-pretrained-bert-models-with-transformers/5845/3 "2021-04-29T09:34:03Z")

</div>

The problem was that the original model was saved with DataParallel, so instead of bert.encoder.layer11, it is module.bert.encoder.layer11. I have re-saved the module without DataParallel wrapper. The problem is solved now.