The `Trainer` class is a component of the Python Transformers library, which is designed for training and fine-tuning transformer models. It encapsulates all the necessary functionality and utilities required to train a transformer model on a given dataset. The `Trainer` class takes care of tasks such as handling data loading, computation of gradients, optimization steps, and evaluation of the model's performance. It provides a straightforward and efficient way to train transformer models with various customization options, allowing researchers and developers to easily experiment and improve upon existing transformer architectures.
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