""" Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. A BERT sequence has the following format:- single sequence: `[CLS] X [SEP]` - pair of sequences: `[CLS] A [SEP] B [SEP]`Args: ...
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An N-gram model predicts the most likely word to follow a sequence of N-1 words given a set of N-1 words. It's a probabilistic model that has been trained on a text corpus. Many NLP applications, such as speech recognition, machine translation, and predi
使用开源工具：如Lightning、HuggingFace等框架能简化训练逻辑。总之，model -> dataset -> train是一个经...
class ModelArguments: """ Arguments pertaining to which model/config/tokenizer we are going to fine-tune, or train from scratch. """ # Huggingface's original arguments model_name_or_path: Optional[str] = field( default=None, metadata={ "help": "The model checkpoint for weights...
bandit evaluation_interval: 10 slack_factor: 0.2 search_space: - model_name: type: choice values: [bert_base_cased, roberta_base] number_of_epochs: type: choice values: [3, 4] - model_name: type: choice values: [distilbert_base_cased] learning_rate: type: uniform min_value: 0.000005...
bandit evaluation_interval: 10 slack_factor: 0.2 search_space: - model_name: type: choice values: [bert_base_cased, roberta_base] number_of_epochs: type: choice values: [3, 4] - model_name: type: choice values: [distilbert_base_cased] learning_rate: type: uniform min_value: 0.000005...
model_name 支持的模型之一的名称。 必须从 bert_base_cased, bert_base_uncased, bert_base_multilingual_cased, bert_base_german_cased, bert_large_cased, bert_large_uncased, distilbert_base_cased, distilbert_base_uncased, roberta_base, roberta_large, distilroberta_base, xlm_roberta_base, xlm_rober...
拼接背后的高效率 在深度学习中，尤其是处理自然语言的模型，如BERT或GPT时，输入数据通常需要固定长度。
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