using translate notebook for my dataset I get this error : ValueError: Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' 'truncation=True' to have batched tensors with the same length.
Author: Azitt
Pull request: no

I'm trying to finetune the model in translate notebook for my data.. in trainer.train() part I receive this error: 

![image](https://user-images.githubusercontent.com/32965166/134790175-e89ff5b5-2aa4-4651-8c93-7f45db91c0fc.png)

I added 'padding=True' 'truncation=True' to the tokenizer but it's still the same.

![image](https://user-images.githubusercontent.com/32965166/134790466-41182826-ebb9-4c9d-b4b3-97879cf023d6.png)

any idea/suggestion to fix the problem would be appreciated.

## Environment info
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- `transformers` version: translate notebook
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in script?:
- Using distributed or parallel set-up in script?:

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## Information

Model I am using (Bert, XLNet ...):

The problem arises when using:
* [ ] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [ ] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

1.
2.
3.

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## Expected behavior

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Comments:
Hello, could you please provide a reproducible code example, library version, and everything required by the issue template? Thanks.

any update on this topic?