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DeBERTa V2 XXLarge 1.5B model

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  1. README.md +39 -0
  2. config.json +25 -0
  3. pytorch_model.bin +3 -0
  4. spm.model +3 -0
  5. tokenizer_config.json +3 -0
README.md ADDED
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+ ---
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+ thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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+ license: mit
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+ ---
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+
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+ ## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
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+
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+ [DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBERTa models using disentangled attention and enhanced mask decoder. With those two improvements, DeBERTa out perform RoBERTa on a majority of NLU tasks with 80GB training data.
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+ Please check the [official repository](https://github.com/microsoft/DeBERTa) for more details and updates.
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+ This the DeBERTa V2 xxlarge model with 48 layers, 1536 hidden size. Total parameters 1.5B.
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+ #### Fine-tuning on NLU tasks
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+ We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.
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+ | Model | SQuAD 1.1 | SQuAD 2.0 | MNLI-m | SST-2 | QNLI | CoLA | RTE | MRPC | QQP |STS-B|
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+ |-------------------|-----------|-----------|--------|-------|------|------|------|------|------|-----|
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+ | BERT-Large | 90.9/84.1 | 81.8/79.0 | 86.6 | 93.2 | 92.3 | 60.6 | 70.4 | 88.0 | 91.3 |90.0 |
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+ | RoBERTa-Large | 94.6/88.9 | 89.4/86.5 | 90.2 | 96.4 | 93.9 | 68.0 | 86.6 | 90.9 | 92.2 |92.4 |
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+ | XLNet-Large | 95.1/89.7 | 90.6/87.9 | 90.8 | 97.0 | 94.9 | 69.0 | 85.9 | 90.8 | 92.3 |92.5 |
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+ | **DeBERTa-Large** | 95.5/90.1 | 90.7/88.0 | 91.1 | 96.5 | 95.3 | 69.5 | 88.1 | 92.5 | 92.3 |92.5 |
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+
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+ ### Citation
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+
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+ If you find DeBERTa useful for your work, please cite the following paper:
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+
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+ ``` latex
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+ @misc{he2020deberta,
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+ title={DeBERTa: Decoding-enhanced BERT with Disentangled Attention},
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+ author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
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+ year={2020},
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+ eprint={2006.03654},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
config.json ADDED
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+ {
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1536,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 6144,
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+ "max_position_embeddings": 512,
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+ "relative_attention": true,
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+ "position_buckets": 256,
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+ "norm_rel_ebd": "layer_norm",
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+ "share_att_key": true,
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+ "pos_att_type": "p2c|c2p",
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+ "layer_norm_eps": 1e-7,
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+ "conv_kernel_size": 3,
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+ "conv_act": "gelu",
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+ "max_relative_positions": -1,
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+ "position_biased_input": false,
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+ "num_attention_heads": 24,
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+ "attention_head_size": 64,
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+ "num_hidden_layers": 48,
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+ "self_attention_type": "dense_att",
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+ "type_vocab_size": 0,
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+ "vocab_size": 128100
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+ }
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+ {
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+ "do_lower_case": false
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+ }