budget-classification/ │├── src/ │ ├── binary_classify.py # 主训练脚本│ ├── BudgetSentence_cls.py # 推理脚本│├── model/ # 保存的模型权重bert-base-chinese后续可以放在这个文件夹中├── logging/ # TensorBoard日志,保存训练过程├── requirements.txt # 项目依赖└── README....
对于bert_doc_binary_classification文本二分类任务,我们首先使用预训练的BERT模型来提取文档的特征表示。然后,我们将这些特征传递给一个简单的DNN(深度神经网络)模型进行分类。在训练过程中,我们将输入的文档经过BERT编码器,得到每个词的向量表示,然后利用这些向量表示整个文档。接着,我们将得到的文档向量输入到DNN中,...
This paper aims to use Machine Learning binary classifiers along with word embedding techniques to perform this classification job that can predict that the given text is a grievance or not. To find out the best classifier with the combination of suitable word embedding techniques, we associated ...
However, none of them are suitable for binary functionality classification (BFC). In this paper, we present the first pre-trained model-based solution to BFC, namely PromeTrans, by fusing the knowledge of pre-trained models. Specifically, it overcomes the token size limitation of pre-trained ...
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation https://arxiv.org/abs/1811.10413 https://github.com/wonnado/binary-netsPytorch Binary Ensemble Neural Network 的思路就是将 若干个独立的二值网络组合起来近似 实数值网络,本文提出的 Structured Binary Neural Networks...
I do the fine-tuning with the pre-trained bert-base chinese model, chinese_L-12_H-768_A-12 to be specific.But I cannot do multiclass classification(28 classes). Actually, it reports as follows: InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to ma...
Malware Classification Method via Binary Content Comparison RACS 2012 link Binary function clustering using semantic hashes ICMLA 2012 link Value-based program characterization and its application to software plagiarism detection 2011 link CMCD: Count Matrix Based Code Clone Detection 2011 link Increme...
model = ClassificationModel('bert', 'bert-base-cased', num_labels=3, args={'reprocess_input_data': True, 'overwrite_output_dir': True}) # You can set class weights by using the optional weight argument # Train the model model.train_model(train_df) ...
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation 202227 BERT-LARGE 94.9 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 201828 RoBERTa + SubRegWeigh (K-means) 94.84 SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regu...
Graph Classification IMDB-BINARY GIN + PANDA PapersPaperCodeResultsDateStars Fast Graph Representation Learning with PyTorch Geometric 6 Mar 2019 21,913 Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 5,252 Graph Attention Networks 30 Oct 2017 3,298 BAE: BERT-based ...