Train Bart-Large multi-labels
Hello,
I have two similar questions. **First**, I'm trying to fine-tune the facebook/bart-large ([https://huggingface.co/facebook/bart-large](url)) but I want to train with 2 classes:

Example:
```
Text-input: "Hello, this text is about school and education."
Class 1: [X, Y, Z]
Class 2: [A, B, C]

Model answer: Y, C
```

I'm using the run_glue file on my personal training files. My question is: How should I set the labels of the training file to train?

My labels with 1 class (8 labels) are actually 0, 1, 2...7 so my csv-entry is something like:
```
Input - Label
Text1 - 2
Text2 - 6
Text3 - 4
```
(This is an example, my csv is in the glue-like format and work with 1 class)
I don't know how to modify them to train on 2 classes.


**Next** question, I want also to fine-tune the network with 1 class but in multi-label mode.

Example:
```
Text-input: "Hello, this text is about school and education."
Class 1: 0, 1, 2, 3, 4, 5, 6, 7

Model answer: 2, 4, 6
```

I've tried something like this, but it's not working

```
Input - Label
Text1 - [2,3]
Text2 - [6]
Text3 - [1,2,5,6]
```

Thank you, sorry if it is explained a little badly.
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.<|||||>Hello, thanks for opening an issue and sorry for getting back late to this! We try to keep the github issues for bugs/feature requests.
Could you ask your question on the [forum](https://discuss.huggingface.co) for a better chance of getting an answer?

Thanks!