deberta目前也开源在huggingface transformer全家桶里,分别有deberta,debertav2和deberta v3,v2比原始的deverta更大,v3引入了一些新的东西,这里主要介绍deberta和debertav2. 我们通过一项全面的实证研究表明,这些技术极大地提高了培训前的效率和下游任务的效果。在NLU任务中,与RoBERTa-Large相比,在一半的训练数据上训练的D...
Hi, model_name = 'microsoft/deberta-v3-large' tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModel.from_pretrained(model_name) When I load the v3 model, it return a V2 model instead, how can I use the v3 model and tokenizer correctlly? 👍1...
跟Erlangshen-MegatronBert-1.3B模型比起来,参数量小接近50%,在OCNLI、CMNLI任务上表现更优,同时相比roberta-wwm-ext-large有更好的效果,欢迎大家直接来尝试。 更多实验结果持续更新中。 关于IDEA CCNL IDEA认知计算与自然语言研究中心(Cognitive Computing and Natural Language, CCNL)致力于研究预训练大模型为代表的...
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deberta-v3-large fold0 Copied from private notebook (+4,-4)NotebookInputOutputLogsComments (0)Logs check_circle Successfully ran in 4697.0s Accelerator GPU P100 Environment Latest Container Image Output 1.74 GB Something went wrong loading notebook logs. If the issue persists, it's likely a pr...
menu Create Thanh Nguyen·3y ago· 10,130 views arrow_drop_up64 Copy & Edit537 more_vert Copied from private notebook (+70,-158) Competition Notebook NBME - Score Clinical Patient Notes Private Score 0.88648 Best Score 0.88648 V2
Learn more OK, Got it.张hongxu · 1y ago· 482 views arrow_drop_up2 Copy & Edit10 more_vert Open Book QA&debertav3-large详解 Copied from MGöksu (+361,-211)NotebookInputOutputLogsComments (0)comment 0 Comments Hotness
Thanks also for adding yours Deberta dataset (llm_sci_exam_deberta_large_run01). replyReply Vinh Nguyen Posted a year ago · Posted on Version 2 of 2 arrow_drop_up0 more_vert Good work. Well done. replyReply victorasso Posted a year ago · Posted on Version 2 of 2 arrow_drop_up0 ...
arrow_drop_up0 Copy & Edit2 more_vert Copied from Aubrey Liu (+2,-2) historyVersion 4 of 4chevron_right Runtime play_arrow 1h 14m 58s · GPU P100 Input COMPETITIONS U.S. Patent Phrase to Phrase Matching DATASETS deberta-v3-large ...
Deberta 3 Large trained on 7 folds About Dataset 7 Folds Deberta 3 Large Model trained For US patents to Phrase competition. CV Score - 0.729 (2 Folds - score < 0.1) - Fold number 2 and 4. LB Score - 0.8326 Usability info 6.25 ...