python3run_classifier.py\--task_name=MRPC\--do_train=true\--do_eval=true\--data_dir=$GLUE_DIR/MRPC\--vocab_file=$BERT_BASE_DIR/vocab.txt\--bert_config_file=$BERT_BASE_DIR/bert_config.json\--init_checkpoint=$BERT_BASE_DIR/bert_model.ckpt\--max_seq_length=128\--train_batch_siz...
stride=0, truncation_strategy='longest_first', return_tensors=None, **kwargs): """ Returns a dictionary containing the encoded sequence or sequence pair and additional informations: the mask for sequence classification and the overflowing elements if a ``max_length`` is specified. Args...
论文中,我们展示了经典的结果 sentence-level (e.g., SST-2), sentence-pair-level (e.g., MultiNLI), word-level (e.g., NER), and span-level (e.g., SQuAD)他们都没修改过任务。 BERT调优 重点:论文中所有的结果是在一台64G RAM的TPU上调优的。所以用一台12-16GRAM的GPU去复现论文中BERT-Lar...
Our idea is to reformulate the sentence classification problem as a reading comprehension problem and employ pretrained BERT model to tackle the problem. By the reformulation, we yield state-of-the-art results for scientific abstract classification on two benchmark datasets, i.e., PubMed RCT and...
我们首先介绍 BERT,然后讨论最先进的句子嵌入方法。 BERT (Devlin et al., 2018) is a pre-trained transformer network (Vaswani et al., 2017), which set for various NLP tasks new state-of-the-art results, including question answering, sentence classification, and sentence-pair regression. The inpu...
ABSA as a Sentence Pair Classification Task Requirement pytorch: 1.0.0 python: 3.7.1 tensorflow: 1.13.1 (only needed for converting BERT-tensorflow-model to pytorch-model) numpy: 1.15.4 nltk sklearn Step 1: prepare datasets SentiHood Since the link given in thedataset released paperhas failed...
Sentence-BERT [1]是对句子进行向量表示的一项经典工作,论文延伸出来的sentence-transformers [2]项目,在GitHub上已经收获了8.1k个star,今天重读下论文。 Introduction 句子的向量表示,也就是sentence embedding,是利用神经网络对句子进行编码,得到的固定长度向量,我们希望这个向量包含了句子的”语义信息“: ...
Sentence (and sentence-pair) classification tasks Before running this example you must download the GLUE data by running this script and unpack it to some directory $GLUE_DIR. Next, download the BERT-Base checkpoint and unzip it to some directory $BERT_BASE_DIR. This example code fine-tunes ...
我们首先介绍 BERT,然后讨论最先进的句子嵌入方法。 BERT (Devlin et al., 2018) is a pre-trained transformer network (Vaswani et al., 2017), which set for various NLP tasks new state-of-the-art results, including question answering, sentence classification, and sentence-pair regression. The inpu...
bert-base-uncased")# 2. Loadseveral Datasets to train with# (anchor, positive)all_nli_pair_train = load_dataset("sentence-transformers/all-nli", "pair", split="train[:10000]")# (premise, hypothesis) + labelall_nli_pair_class_train = load_dataset("sentence-transformers/all-nli", "pair...