loading roberta from local file
Author: Rababalkhalifa
Pull request: no

I get this message: ```
Some weights of the PyTorch model were not used when initializing the TF 2.0 model TFBertModel: [ -['roberta.encoder.layer.9.attention.self.value.bias', 'lm_head.layer_norm.bias', 'roberta.encoder.layer.4.attention.self.value.weight', 'roberta.encoder.layer.9.attention.self.value.weight', 'roberta.encoder.layer.4.attention.output.dense.bias', 'roberta.encoder.layer.2.attention.output.dense.weight', 'roberta.encoder.layer.7.attention.output.dense.bias', 'roberta.encoder.layer.4.intermediate.dense.bias', 'roberta.encoder.layer.5.attention.output.dense.bias', 'roberta.encoder.layer.0.attention.output.LayerNorm.weight', 'roberta.encoder.layer.3.attention.self.value.bias', 'roberta.encoder.layer.9.attention.self.query.weight', 'roberta.encoder.layer.10.intermediate.dense.bias', 'roberta.encoder.layer.1.attention.self.query.bias', 'roberta.embeddings.word_embeddings.weight', 'roberta.encoder.layer.9.attention.output.dense.bias', 'lm_head.bias', 'roberta.encoder.layer.3.attention.self.query.bias', 'roberta.encoder.layer.4.attention.self.key.weight', 'roberta.encoder.layer.8.attention.self.key.bias', 'roberta.encoder.layer.2.output.dense.weight', 'roberta.encoder.layer.2.intermediate.dense.bias', 'roberta.encoder.layer.6.output.dense.bias', 'roberta.encoder.layer.2.output.LayerNorm.bias', 'roberta.encoder.layer.6.output.LayerNorm.weight', 'roberta.encoder.layer.4.output.dense.weight', 'roberta.encoder.layer.8.attention.self.query.bias', 'roberta.encoder.layer.3.attention.output.LayerNorm.bias', 'roberta.encoder.layer.3.output.dense.bias', 'roberta.encoder.layer.1.attention.self.value.bias', 'roberta.encoder.layer.11.attention.output.LayerNorm.bias', 'roberta.encoder.layer.7.intermediate.dense.weight', 'roberta.encoder.layer.2.attention.self.key.weight', 'roberta.encoder.layer.2.attention.output.LayerNorm.bias', 'roberta.encoder.layer.2.attention.self.value.weight', 'roberta.encoder.layer.8.attention.output.LayerNorm.weight', 'roberta.encoder.layer.9.output.dense.weight', 'roberta.encoder.layer.9.attention.output.LayerNorm.bias', 'roberta.encoder.layer.11.attention.self.key.weight', 'roberta.encoder.layer.11.intermediate.dense.bias', 'roberta.encoder.layer.3.attention.self.value.weight', 'roberta.encoder.layer.1.attention.output.dense.bias', 'roberta.encoder.layer.8.attention.output.LayerNorm.bias', 'roberta.encoder.layer.2.attention.self.query.bias', 'roberta.encoder.layer.0.attention.self.value.weight', 'roberta.encoder.layer.3.output.dense.weight', 'roberta.encoder.layer.7.attention.self.key.bias', 'roberta.encoder.layer.8.output.dense.bias', 'roberta.encoder.layer.1.output.dense.weight', 'roberta.encoder.layer.4.attention.self.query.weight', 'roberta.encoder.layer.3.attention.output.LayerNorm.weight', 'roberta.encoder.layer.0.attention.self.query.weight', 'roberta.encoder.layer.7.intermediate.dense.bias', 'roberta.encoder.layer.10.attention.self.query.weight', 'roberta.encoder.layer.10.output.dense.weight', 'roberta.encoder.layer.11.attention.self.query.weight', 'roberta.encoder.layer.1.attention.output.LayerNorm.bias', 'roberta.encoder.layer.2.output.dense.bias', 'roberta.encoder.layer.0.attention.output.dense.bias', 'roberta.encoder.layer.6.attention.self.query.weight', 'roberta.encoder.layer.5.attention.self.key.bias', 'roberta.encoder.layer.8.output.LayerNorm.bias', 'roberta.encoder.layer.1.attention.self.key.weight', 'roberta.embeddings.position_ids', 'roberta.encoder.layer.5.attention.output.dense.weight', 'roberta.encoder.layer.1.output.dense.bias', 'roberta.encoder.layer.9.output.LayerNorm.weight', 'roberta.encoder.layer.7.attention.self.key.weight', 'roberta.encoder.layer.3.intermediate.dense.bias', 'roberta.encoder.layer.8.output.LayerNorm.weight', 'roberta.encoder.layer.0.attention.output.LayerNorm.bias', 'roberta.encoder.layer.3.attention.output.dense.weight', 'roberta.encoder.layer.7.attention.output.LayerNorm.bias', 'roberta.encoder.layer.8.attention.self.value.weight', 'roberta.encoder.layer.8.intermediate.dense.bias', 'roberta.encoder.layer.7.output.dense.bias', 'roberta.encoder.layer.2.attention.output.dense.bias', 'roberta.encoder.layer.6.attention.self.query.bias', 'roberta.encoder.layer.7.output.LayerNorm.weight', 'roberta.embeddings.token_type_embeddings.weight', 'roberta.encoder.layer.6.attention.output.dense.weight', 'roberta.encoder.layer.0.intermediate.dense.weight', 'roberta.encoder.layer.5.intermediate.dense.bias', 'roberta.encoder.layer.5.attention.output.LayerNorm.bias', 'roberta.encoder.layer.3.attention.output.dense.bias', 'roberta.encoder.layer.1.output.LayerNorm.weight', 'roberta.encoder.layer.5.attention.output.LayerNorm.weight', 'roberta.encoder.layer.4.output.dense.bias', 'roberta.encoder.layer.5.intermediate.dense.weight', 'roberta.encoder.layer.9.attention.self.query.bias', 'roberta.encoder.layer.3.output.LayerNorm.weight', 'roberta.encoder.layer.5.attention.self.value.weight', 'roberta.encoder.layer.4.attention.output.dense.weight', 'roberta.encoder.layer.0.output.LayerNorm.weight', 'roberta.encoder.layer.3.attention.self.query.weight', 'roberta.encoder.layer.9.output.LayerNorm.bias', 'roberta.embeddings.position_embeddings.weight', 'roberta.encoder.layer.4.attention.output.LayerNorm.weight', 'roberta.encoder.layer.9.output.dense.bias', 'roberta.encoder.layer.2.intermediate.dense.weight', 'roberta.encoder.layer.8.attention.self.key.weight', 'roberta.encoder.layer.5.attention.self.value.bias', 'roberta.encoder.layer.11.attention.output.dense.bias', 'roberta.encoder.layer.6.attention.self.value.bias', 'roberta.encoder.layer.1.attention.output.dense.weight', 'roberta.encoder.layer.0.output.dense.weight', 'roberta.encoder.layer.5.attention.self.key.weight', 'roberta.encoder.layer.5.output.LayerNorm.weight', 'roberta.encoder.layer.9.intermediate.dense.bias', 'roberta.encoder.layer.11.output.LayerNorm.bias', 'roberta.encoder.layer.0.output.dense.bias', 'roberta.encoder.layer.9.attention.output.LayerNorm.weight', 'roberta.encoder.layer.4.output.LayerNorm.weight', 'roberta.encoder.layer.8.attention.self.query.weight', 'roberta.encoder.layer.0.output.LayerNorm.bias', 'roberta.embeddings.LayerNorm.weight', 'roberta.encoder.layer.5.attention.self.query.bias', 'roberta.encoder.layer.9.attention.self.key.bias', 'roberta.encoder.layer.2.attention.output.LayerNorm.weight', 'roberta.encoder.layer.2.output.LayerNorm.weight', 'roberta.encoder.layer.4.intermediate.dense.weight', 'roberta.encoder.layer.6.attention.output.LayerNorm.bias', 'roberta.encoder.layer.0.attention.self.key.bias', 'roberta.encoder.layer.10.attention.output.LayerNorm.bias', 'roberta.encoder.layer.6.attention.output.LayerNorm.weight', 'roberta.encoder.layer.11.output.LayerNorm.weight', 'roberta.encoder.layer.11.attention.output.LayerNorm.weight', 'roberta.encoder.layer.1.attention.output.LayerNorm.weight', 'roberta.encoder.layer.2.attention.self.query.weight', 'roberta.encoder.layer.10.output.dense.bias', 'roberta.encoder.layer.4.output.LayerNorm.bias', 'roberta.encoder.layer.6.attention.self.value.weight', 'roberta.encoder.layer.10.attention.self.value.bias', 'roberta.encoder.layer.5.output.dense.weight', 'roberta.encoder.layer.2.attention.self.key.bias', 'roberta.encoder.layer.0.attention.self.key.weight', 'roberta.encoder.layer.0.attention.self.query.bias', 'roberta.encoder.layer.5.output.LayerNorm.bias', 'roberta.encoder.layer.6.attention.self.key.weight', 'roberta.encoder.layer.10.attention.self.key.weight', 'roberta.encoder.layer.4.attention.output.LayerNorm.bias', 'roberta.encoder.layer.10.attention.self.key.bias', 'roberta.encoder.layer.11.attention.self.value.bias', 'roberta.embeddings.LayerNorm.bias', 'roberta.encoder.layer.7.attention.output.LayerNorm.weight', 'roberta.encoder.layer.4.attention.self.query.bias', 'roberta.encoder.layer.6.attention.self.key.bias', 'roberta.encoder.layer.9.attention.output.dense.weight', 'roberta.encoder.layer.10.attention.output.dense.bias', 'roberta.encoder.layer.3.intermediate.dense.weight', 'roberta.encoder.layer.3.attention.self.key.bias', 'roberta.encoder.layer.10.attention.self.query.bias', 'roberta.encoder.layer.1.attention.self.query.weight', 'roberta.encoder.layer.5.attention.self.query.weight', 'roberta.encoder.layer.4.attention.self.key.bias', 'roberta.encoder.layer.7.output.dense.weight', 'roberta.encoder.layer.9.intermediate.dense.weight', 'roberta.encoder.layer.11.output.dense.weight', 'roberta.encoder.layer.1.output.LayerNorm.bias', 'roberta.encoder.layer.7.attention.self.value.bias', 'roberta.encoder.layer.0.attention.self.value.bias', 'roberta.encoder.layer.6.intermediate.dense.bias', 'roberta.encoder.layer.7.attention.self.value.weight', 'roberta.encoder.layer.6.output.dense.weight', 'roberta.encoder.layer.6.attention.output.dense.bias', 'roberta.encoder.layer.10.attention.output.dense.weight', 'roberta.encoder.layer.10.attention.output.LayerNorm.weight', 'roberta.encoder.layer.10.output.LayerNorm.bias', 'roberta.encoder.layer.11.output.dense.bias', 'roberta.encoder.layer.1.intermediate.dense.weight', 'roberta.encoder.layer.7.attention.self.query.bias', 'roberta.encoder.layer.1.attention.self.value.weight', 'roberta.encoder.layer.8.attention.output.dense.weight', 'roberta.encoder.layer.10.intermediate.dense.weight', 'roberta.encoder.layer.11.attention.self.key.bias', 'roberta.encoder.layer.3.output.LayerNorm.bias', 'roberta.encoder.layer.4.attention.self.value.bias', 'roberta.encoder.layer.6.output.LayerNorm.bias', 'roberta.encoder.layer.11.attention.self.query.bias', 'roberta.encoder.layer.11.attention.output.dense.weight', 'roberta.encoder.layer.8.attention.self.value.bias', 'roberta.encoder.layer.10.output.LayerNorm.weight', 'roberta.encoder.layer.8.attention.output.dense.bias', 'lm_head.dense.bias', 'roberta.encoder.layer.2.attention.self.value.bias', 'roberta.encoder.layer.0.attention.output.dense.weight', 'roberta.encoder.layer.9.attention.self.key.weight', 'roberta.encoder.layer.3.attention.self.key.weight', 'roberta.encoder.layer.11.attention.self.value.weight', 'roberta.encoder.layer.7.output.LayerNorm.bias', 'roberta.encoder.layer.6.intermediate.dense.weight', 'roberta.encoder.layer.11.intermediate.dense.weight', 'roberta.encoder.layer.1.intermediate.dense.bias', 'roberta.encoder.layer.5.output.dense.bias', 'roberta.encoder.layer.10.attention.self.value.weight', 'roberta.encoder.layer.0.intermediate.dense.bias', 'roberta.encoder.layer.8.output.dense.weight', 'roberta.encoder.layer.7.attention.self.query.weight', 'lm_head.dense.weight', 'roberta.encoder.layer.1.attention.self.key.bias', 'lm_head.layer_norm.weight', 'roberta.encoder.layer.8.intermediate.dense.weight', 'roberta.encoder.layer.7.attention.output.dense.weight']
- This IS expected if you are initializing TFBertModel from a PyTorch model trained on another task or with another architecture (e.g. initializing a TFBertForSequenceClassification model from a BertForPreTraining model).
- 
```

How to make sure that roberta is saved correctly and locally?



Comments:
You're loading RoBERTa in a `TFBertModel`, you should load it in a `TFRobertaModel`!