Fine-Tuned BERT enabled Context Aware Virtual Learning Assessment ModelGaurav Srivastav
例如,在情感分析任务中,可以使用预训练的BERT模型,并通过微调来适应特定的情感分析数据集。这样,模型可以更好地理解文本中的情感信息,从而提高情感分析的准确性。此外,'fine-tuned'还可以用于机器翻译、问答系统等NLP任务中,以提高模型的性能和准确性。 'fine-tuned'在深度学习中的具体实现方...
[[Node: bert/encoder/layer_0/attention/self/Softmax = Softmax[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](bert/encoder/layer_0/attention/self/$ dd)]] and the model's structure is saved_model_cli show --all --dir serving/tensorflow_serving/servables/tensorflo...
This study investigates the application of machine learning and BERT models to identify topic categories in helpful online course reviews and uncover factors that influence the overall satisfaction of learners in massive open online courses (MOOCs). The research has three main objectives: (1) to asse...
init commit 6年前 test.png init commit 6年前 tf_metrics.py init commit 6年前 vocab.txt init commit 6年前 README MIT Star 0 Fork 0 捐赠 0 人次 简介 bert 微调来做ner 暂无标签 MIT 发行版 暂无发行版 贡献者 (1) 全部 近期动态 4年多前创建了仓库深圳...
Automatic extraction of transcriptional regulatory interactions of bacteria from biomedical literature using a fine-tuned BERT model datasets Datasets used for TRN reconstructions (e.coli and salmonella) Master dataset used for fine tunning bert models (training, validation and evaluation): ECO_dataset_mas...
你想通过BERT服务直接获取样本的句向量，然后自己定义下游的网络进行分类吗？这样做的话就无法对原有模型...
In both works, we integrated the supervised SimCSE (SimCSEsupervised) for data augmentation and our proposed model parallel BERT + Bi-LSTM for detecting cyberbullying using the augmented data. The key differences between the two works are that in the previous work [11], we made the ...
❓ Questions & Help Details Hi, I have a fine-tuned BERT model and I want to use it to predict on my own testset which have 40k sentence pairs. I use the script like: `export GLUE_DIR=./glue_data export TASK_NAME=QQP CUDA_VISIBLE_DEVICES=...
TL;DR因为bash代码的可读性一般,没有系统学过bash的人很难看懂,相比之下,哪怕你没有学过python/c/java,有一定编程基础的人基本还是能看懂的。所以该文章使用BERT为bash代码增加注释,以让人类理解一段bash代码…