The DeBERTa V3 base model comes with 12 layers and a hidden size of 768. It has only 86M backbone parameters with a vocabulary containing 128K tokens which ... |
With only 22M backbone parameters which is only 1/4 of RoBERTa-Base and XLNet-Base, DeBERTa-V3-XSmall significantly outperforms the later on MNLI and SQuAD v2.0 ... |
The mDeBERTa V3 base model comes with 12 layers and a hidden size of 768. It has 86M backbone parameters with a vocabulary containing 250K tokens. |
DeBERTa-v3-base | 🤗️ Accelerate | Finetuning - Kaggle www.kaggle.com › code › shreydan › deberta-...
Explore and run machine learning code with Kaggle Notebooks | Using data from Feedback Prize - English Language Learning. |
18 нояб. 2021 г. · This paper presents a new pre-trained language model, DeBERTaV3, which improves the original DeBERTa model by replacing mask language modeling ( ... |
9 авг. 2023 г. · I am trying to fine tune a DeBERTa model for a regression task, the problem is that when I load the model using this code from transformers import AutoConfig, ... |
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10 мар. 2022 г. · Compared to RoBERTa-Large, a DeBERTa model trained on half of the training data performs consistently better on a wide range of NLP tasks, ... |
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