Problems with using LongFormer
I am according to the official longformer lot (https://github.com/allenai/longformer) provides methods to use, I use in the code of parts as follows:
`

            tokenizer_class = BertTokenizer
            model_class = LongformerModel
            # directory is fine
            pretrained_weights = self.pretrainedBertPath
            tokenizer = tokenizer_class.from_pretrained(pretrained_weights)
            model = model_class.from_pretrained('longformer-base-4096', gradient_checkpointing=True)
            # add_special_tokens will add start and end token
            input_ids = torch.tensor([tokenizer.encode(text, add_special_tokens=False)])

`

This warning appeared:
`
    
    Some weights of the model checkpoint at longformer-base-4096 were not used when initializing LongformerModel: ['roberta.embeddings.word_embeddings.weight', 'roberta.embeddings.position_embeddings.weight', 'roberta.embeddings.token_type_embeddings.weight', 'roberta.embeddings.LayerNorm.weight', 'roberta.embeddings.LayerNorm.bias', 'roberta.encoder.layer.0.attention.self.query.weight', 'roberta.encoder.layer.0.attention.self.query.bias', 'roberta.encoder.layer.0.attention.self.key.weight', 'roberta.encoder.layer.0.attention.self.key.bias', 'roberta.encoder.layer.0.attention.self.value.weight', 'roberta.encoder.layer.0.attention.self.value.bias', 'roberta.encoder.layer.0.attention.self.query_global.weight', 'roberta.encoder.layer.0.attention.self.query_global.bias', 'roberta.encoder.layer.0.attention.self.key_global.weight', 'roberta.encoder.layer.0.attention.self.key_global.bias', 'roberta.encoder.layer.0.attention.self.value_global.weight', 'roberta.encoder.layer.0.attention.self.value_global.bias', 'roberta.encoder.layer.0.attention.output.dense.weight', 'roberta.encoder.layer.0.attention.output.dense.bias', 'roberta.encoder.layer.0.attention.output.LayerNorm.weight', 'roberta.encoder.layer.0.attention.output.LayerNorm.bias', 'roberta.encoder.layer.0.intermediate.dense.weight', 'roberta.encoder.layer.0.intermediate.dense.bias', 'roberta.encoder.layer.0.output.dense.weight', 'roberta.encoder.layer.0.output.dense.bias', 'roberta.encoder.layer.0.output.LayerNorm.weight', 'roberta.encoder.layer.0.output.LayerNorm.bias', 'roberta.encoder.layer.1.attention.self.query.weight', 'roberta.encoder.layer.1.attention.self.query.bias', 'roberta.encoder.layer.1.attention.self.key.weight', 'roberta.encoder.layer.1.attention.self.key.bias', 'roberta.encoder.layer.1.attention.self.value.weight', 'roberta.encoder.layer.1.attention.self.value.bias', 'roberta.encoder.layer.1.attention.self.query_global.weight', 'roberta.encoder.layer.1.attention.self.query_global.bias', 'roberta.encoder.layer.1.attention.self.key_global.weight', 'roberta.encoder.layer.1.attention.self.key_global.bias', 'roberta.encoder.layer.1.attention.self.value_global.weight', 'roberta.encoder.layer.1.attention.self.value_global.bias', 'roberta.encoder.layer.1.attention.output.dense.weight', 'roberta.encoder.layer.1.attention.output.dense.bias', 'roberta.encoder.layer.1.attention.output.LayerNorm.weight', 'roberta.encoder.layer.1.attention.output.LayerNorm.bias', 'roberta.encoder.layer.1.intermediate.dense.weight', 'roberta.encoder.layer.1.intermediate.dense.bias', 'roberta.encoder.layer.1.output.dense.weight', 'roberta.encoder.layer.1.output.dense.bias', 'roberta.encoder.layer.1.output.LayerNorm.weight', 'roberta.encoder.layer.1.output.LayerNorm.bias', 'roberta.encoder.layer.2.attention.self.query.weight', 'roberta.encoder.layer.2.attention.self.query.bias', 'roberta.encoder.layer.2.attention.self.key.weight', 'roberta.encoder.layer.2.attention.self.key.bias', 'roberta.encoder.layer.2.attention.self.value.weight', 'roberta.encoder.layer.2.attention.self.value.bias', 'roberta.encoder.layer.2.attention.self.query_global.weight', 'roberta.encoder.layer.2.attention.self.query_global.bias', 'roberta.encoder.layer.2.attention.self.key_global.weight', 'roberta.encoder.layer.2.attention.self.key_global.bias', 'roberta.encoder.layer.2.attention.self.value_global.weight', 'roberta.encoder.layer.2.attention.self.value_global.bias', 'roberta.encoder.layer.2.attention.output.dense.weight', 'roberta.encoder.layer.2.attention.output.dense.bias', 'roberta.encoder.layer.2.attention.output.LayerNorm.weight', 'roberta.encoder.layer.2.attention.output.LayerNorm.bias', 'roberta.encoder.layer.2.intermediate.dense.weight', 'roberta.encoder.layer.2.intermediate.dense.bias', 'roberta.encoder.layer.2.output.dense.weight', 'roberta.encoder.layer.2.output.dense.bias', 'roberta.encoder.layer.2.output.LayerNorm.weight', 'roberta.encoder.layer.2.output.LayerNorm.bias', 'roberta.encoder.layer.3.attention.self.query.weight', 'roberta.encoder.layer.3.attention.self.query.bias', 'roberta.encoder.layer.3.attention.self.key.weight', 'roberta.encoder.layer.3.attention.self.key.bias', 'roberta.encoder.layer.3.attention.self.value.weight', 'roberta.encoder.layer.3.attention.self.value.bias', 'roberta.encoder.layer.3.attention.self.query_global.weight', 'roberta.encoder.layer.3.attention.self.query_global.bias', 'roberta.encoder.layer.3.attention.self.key_global.weight', 'roberta.encoder.layer.3.attention.self.key_global.bias', 'roberta.encoder.layer.3.attention.self.value_global.weight', 'roberta.encoder.layer.3.attention.self.value_global.bias', 'roberta.encoder.layer.3.attention.output.dense.weight', 'roberta.encoder.layer.3.attention.output.dense.bias', 'roberta.encoder.layer.3.attention.output.LayerNorm.weight', 'roberta.encoder.layer.3.attention.output.LayerNorm.bias', 'roberta.encoder.layer.3.intermediate.dense.weight', 'roberta.encoder.layer.3.intermediate.dense.bias', 'roberta.encoder.layer.3.output.dense.weight', 'roberta.encoder.layer.3.output.dense.bias', 'roberta.encoder.layer.3.output.LayerNorm.weight', 'roberta.encoder.layer.3.output.LayerNorm.bias', 'roberta.encoder.layer.4.attention.self.query.weight', 'roberta.encoder.layer.4.attention.self.query.bias', 'roberta.encoder.layer.4.attention.self.key.weight', 'roberta.encoder.layer.4.attention.self.key.bias', 'roberta.encoder.layer.4.attention.self.value.weight', 'roberta.encoder.layer.4.attention.self.value.bias', 'roberta.encoder.layer.4.attention.self.query_global.weight', 'roberta.encoder.layer.4.attention.self.query_global.bias', 'roberta.encoder.layer.4.attention.self.key_global.weight', 'roberta.encoder.layer.4.attention.self.key_global.bias', 'roberta.encoder.layer.4.attention.self.value_global.weight', 'roberta.encoder.layer.4.attention.self.value_global.bias', 'roberta.encoder.layer.4.attention.output.dense.weight', 'roberta.encoder.layer.4.attention.output.dense.bias', 'roberta.encoder.layer.4.attention.output.LayerNorm.weight', 'roberta.encoder.layer.4.attention.output.LayerNorm.bias', 'roberta.encoder.layer.4.intermediate.dense.weight', 'roberta.encoder.layer.4.intermediate.dense.bias', 'roberta.encoder.layer.4.output.dense.weight', 'roberta.encoder.layer.4.output.dense.bias', 'roberta.encoder.layer.4.output.LayerNorm.weight', 'roberta.encoder.layer.4.output.LayerNorm.bias', 'roberta.encoder.layer.5.attention.self.query.weight', 'roberta.encoder.layer.5.attention.self.query.bias', 'roberta.encoder.layer.5.attention.self.key.weight', 'roberta.encoder.layer.5.attention.self.key.bias', 'roberta.encoder.layer.5.attention.self.value.weight', 'roberta.encoder.layer.5.attention.self.value.bias', 'roberta.encoder.layer.5.attention.self.query_global.weight', 'roberta.encoder.layer.5.attention.self.query_global.bias', 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'roberta.encoder.layer.7.attention.self.query.weight', 'roberta.encoder.layer.7.attention.self.query.bias', 'roberta.encoder.layer.7.attention.self.key.weight', 'roberta.encoder.layer.7.attention.self.key.bias', 'roberta.encoder.layer.7.attention.self.value.weight', 'roberta.encoder.layer.7.attention.self.value.bias', 'roberta.encoder.layer.7.attention.self.query_global.weight', 'roberta.encoder.layer.7.attention.self.query_global.bias', 'roberta.encoder.layer.7.attention.self.key_global.weight', 'roberta.encoder.layer.7.attention.self.key_global.bias', 'roberta.encoder.layer.7.attention.self.value_global.weight', 'roberta.encoder.layer.7.attention.self.value_global.bias', 'roberta.encoder.layer.7.attention.output.dense.weight', 'roberta.encoder.layer.7.attention.output.dense.bias', 'roberta.encoder.layer.7.attention.output.LayerNorm.weight', 'roberta.encoder.layer.7.attention.output.LayerNorm.bias', 'roberta.encoder.layer.7.intermediate.dense.weight', 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'roberta.encoder.layer.10.attention.self.value.bias', 'roberta.encoder.layer.10.attention.self.query_global.weight', 'roberta.encoder.layer.10.attention.self.query_global.bias', 'roberta.encoder.layer.10.attention.self.key_global.weight', 'roberta.encoder.layer.10.attention.self.key_global.bias', 'roberta.encoder.layer.10.attention.self.value_global.weight', 'roberta.encoder.layer.10.attention.self.value_global.bias', 'roberta.encoder.layer.10.attention.output.dense.weight', 'roberta.encoder.layer.10.attention.output.dense.bias', 'roberta.encoder.layer.10.attention.output.LayerNorm.weight', 'roberta.encoder.layer.10.attention.output.LayerNorm.bias', 'roberta.encoder.layer.10.intermediate.dense.weight', 'roberta.encoder.layer.10.intermediate.dense.bias', 'roberta.encoder.layer.10.output.dense.weight', 'roberta.encoder.layer.10.output.dense.bias', 'roberta.encoder.layer.10.output.LayerNorm.weight', 'roberta.encoder.layer.10.output.LayerNorm.bias', 'roberta.encoder.layer.11.attention.self.query.weight', 'roberta.encoder.layer.11.attention.self.query.bias', 'roberta.encoder.layer.11.attention.self.key.weight', 'roberta.encoder.layer.11.attention.self.key.bias', 'roberta.encoder.layer.11.attention.self.value.weight', 'roberta.encoder.layer.11.attention.self.value.bias', 'roberta.encoder.layer.11.attention.self.query_global.weight', 'roberta.encoder.layer.11.attention.self.query_global.bias', 'roberta.encoder.layer.11.attention.self.key_global.weight', 'roberta.encoder.layer.11.attention.self.key_global.bias', 'roberta.encoder.layer.11.attention.self.value_global.weight', 'roberta.encoder.layer.11.attention.self.value_global.bias', 'roberta.encoder.layer.11.attention.output.dense.weight', 'roberta.encoder.layer.11.attention.output.dense.bias', 'roberta.encoder.layer.11.attention.output.LayerNorm.weight', 'roberta.encoder.layer.11.attention.output.LayerNorm.bias', 'roberta.encoder.layer.11.intermediate.dense.weight', 'roberta.encoder.layer.11.intermediate.dense.bias', 'roberta.encoder.layer.11.output.dense.weight', 'roberta.encoder.layer.11.output.dense.bias', 'roberta.encoder.layer.11.output.LayerNorm.weight', 'roberta.encoder.layer.11.output.LayerNorm.bias', 'roberta.pooler.dense.weight', 'roberta.pooler.dense.bias', 'lm_head.bias', 'lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias', 'lm_head.decoder.weight']
    - This IS expected if you are initializing LongformerModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
    - This IS NOT expected if you are initializing LongformerModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
    Some weights of LongformerModel were not initialized from the model checkpoint at longformer-base-4096 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.self.query_global.weight', 'encoder.layer.0.attention.self.query_global.bias', 'encoder.layer.0.attention.self.key_global.weight', 'encoder.layer.0.attention.self.key_global.bias', 'encoder.layer.0.attention.self.value_global.weight', 'encoder.layer.0.attention.self.value_global.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.self.query_global.weight', 'encoder.layer.1.attention.self.query_global.bias', 'encoder.layer.1.attention.self.key_global.weight', 'encoder.layer.1.attention.self.key_global.bias', 'encoder.layer.1.attention.self.value_global.weight', 'encoder.layer.1.attention.self.value_global.bias', 'encoder.layer.1.attention.output.dense.weight', 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'pooler.dense.bias'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

`


I would like to ask whether the presence of this warning will affect the results?How can  remove this warning?thinks



Hey @joy20182018,

We cannot guarantee that our library is in sync with other libraries like `https://github.com/allenai/longformer`. Please make sure you follow the advice as written on: https://huggingface.co/transformers/model_doc/longformer.html<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.