In a pipeline designed for sentence-pair classification, an input like [CLS] sentence A [SEP] sentence B [SEP] is processed by an encoder to produce a sequence of contextualized encodings, one for each token. For the final classification, only the encoding corresponding to the [CLS] token is passed to a Softmax layer. What is the most accurate reason for selecting this specific encoding to represent the entire input?

A language model is being fine-tuned for a sentence-pair classification task (e.g., determining if one sentence is an entailment of another). Arrange the following steps into the correct sequence that describes the data processing pipeline, from the initial input to the final prediction.

Debugging a Sentence-Pair Classification Model