What is the Data Collator class in transformers?

This recipe explains what is the Data Collator class in transformers.

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Recipe Objective - What is the Data Collator class in transformers?

A data mover is an object that you simply will bundle employing a list of things from the dataset as input. These elements are of an equivalent type as train_dataset or eval_dataset. In order to be ready to build batches, the info classifier may apply some processing (such as padding). a number of them (like DataCollatorForLanguageModeling) also apply some random data enhancements (like random masks) on formed batches.

List of Classification Algorithms in Machine Learning 

Very simple data collator that simply collates batches of dict-like objects and performs special handling for potential keys named:
1. label: handles one value (int or float) per object
2. label_ids: handles an inventory of values per object

Sorts of Data Collator:

1. DataCollatorWithPadding
2. DataCollatorForTokenClassification
3. DataCollatorForSeq2Seq
4. DataCollatorForLanguageModeling
5. DataCollatorForWholeWordMask
6. DataCollatorForPermutationLanguageModeling

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