#EOSProject
The EOS (End of Sequence) token is a special token used in machine learning models, particularly in natural language processing (NLP) tasks. Its primary purpose is to indicate the end of a sequence, such as the completion of a sentence or document.
Use Cases of the EOS Token:
Sequence Generation:
In text generation tasks (e.g., machine translation, chatbots, or summarization), the model generates tokens until it predicts the EOS token, signaling that the output is complete.
Padding and Alignment:
EOS tokens are often used to pad sequences to a fixed length or to mark the actual endpoint when training models with variable-length sequences.
Model Training:
The EOS token helps the model understand where a sequence ends, avoiding unnecessary predictions beyond that point
