有什么技巧吗,目前只有百分之79这个数据集上BERT对参数极其敏感,结果波动很大。可以用小一点的learning ...
Pull requests Discussions MTEB: Massive Text Embedding Benchmark benchmarkinformation-retrievalretrievaltext-classificationclusteringstssemantic-searchrerankingtext-embeddingsgptneural-searchsentence-transformerssbertmultilingual-nlpbitext-miningmteb UpdatedApr 3, 2025 ...
Semantic similarity between natural language texts is typically measured either by looking at the overlap between subsequences (e. g., BLEU) or by using embeddings (e. g., BERTScore, S-BERT). 1 Paper Code Unsupervised hard Negative Augmentation for contrastive learning claudiashu/una • • ...
Using a SONET analyzer, a BERT is then performed in all of the communications channels, i.e., all 12 STS-1 channels (or 4STS-3cchannels) are checked one after another for bit errors in an OC-12 ring. The generator in the test set provides a pseudo-random bit sequence (PRBS) for ...
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pytorch微调bert pytorch模型微调 展示如何利用Pytorch来进行模型微调。 本文目的:基于kaggle上狗的种类识别项目,展示如何利用PyTorch来进行模型微调。PyTorch中torchvision是一个针对视觉领域的工具库,除了提供有大量的数据集,还有许多预训练的经典模型。这里以官方训练好的resnet50为例,拿来参加kaggle上面的dog breed狗的种...
⌛ Infer BERT-based Model With Prompts: You can specify a prompt withprompt=YOUR_PROMPTinencodemethod. If set a prompt, the inputs should be a list of dict or a single dict with keytext, wheretextis the placeholder in the prompt for the input text. You can use other placeholder names...
pytorch微调bert pytorch模型微调 展示如何利用Pytorch来进行模型微调。 本文目的:基于kaggle上狗的种类识别项目,展示如何利用PyTorch来进行模型微调。PyTorch中torchvision是一个针对视觉领域的工具库,除了提供有大量的数据集,还有许多预训练的经典模型。这里以官方训练好的resnet50为例,拿来参加kaggle上面的dog breed狗的种类...
SeanLee97/angle-bert-base-uncased-nli-en-v1 75.09 85.56 80.66 86.44 82.47 85.16 81.23 82.37 Chinese STS Results ModelATECBQLCQMCPAWSXSTS-BSOHU-ddSOHU-dcAvg. ^shibing624/text2vec-bge-large-chinese 38.41 61.34 71.72 35.15 76.44 71.81 63.15 59.72 ^shibing624/text2vec-base-chinese-paraphrase ...
bert_simcse_sts.zip Ex**空白上传38.86 KB文件格式zip深度学习 使用Bert利用Simcse预训练,在STS上评测 (0)踩踩(0) 所需:7积分