models microsoft deberta large mnli - Azure/azureml-assets GitHub Wiki

microsoft-deberta-large-mnli

Overview

DeBERTa (Decoding-enhanced BERT with Disentangled Attention) improves the BERT and RoBERTa models using disentangled attention and enhanced mask decoder. It outperforms BERT and RoBERTa on majority of NLU tasks with 80GB training data.

Please check the official repository for more details and updates.

This is the DeBERTa large model fine-tuned with MNLI task.

Evaluation Results

We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.

Model SQuAD 1.1 SQuAD 2.0 MNLI-m/mm SST-2 QNLI CoLA RTE MRPC QQP STS-B
F1/EM F1/EM Acc Acc Acc MCC Acc Acc/F1 Acc/F1 P/S
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/-
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/-
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/-
DeBERTa-Large1 95.5/90.1 90.7/88.0 91.3/91.1 96.5 95.3 69.5 91.0 92.6/94.6 92.3/- 92.8/92.5
DeBERTa-XLarge1 -/- -/- 91.5/91.2 97.0 - - 93.1 92.1/94.3 - 92.9/92.7
DeBERTa-V2-XLarge1 95.8/90.8 91.4/88.9 91.7/91.6 97.5 95.8 71.1 93.9 92.0/94.2 92.3/89.8 92.9/92.9
DeBERTa-V2-XXLarge1,2 96.1/91.4 92.2/89.7 91.7/91.9 97.2 96.0 72.0 93.5 93.1/94.9 92.7/90.3 93.2/93.1

Model Evaluation samples

Task Use case Dataset Python sample (Notebook) CLI with YAML
Text Classification Sentiment Classification SST2 evaluate-model-sentiment-analysis.ipynb evaluate-model-sentiment-analysis.yml

Inference samples

Inference type Python sample (Notebook)
Real time sdk-example.ipynb
Real time text-classification-online-endpoint.ipynb

Sample inputs and outputs

Sample input

{
    "input_data": [
        "Today was an amazing day!",
        "It was an unfortunate series of events."
    ]
}

Sample output

[
  {
    "label": "NEUTRAL",
    "score": 0.9605958461761475
  },
  {
    "label": "NEUTRAL",
    "score": 0.98270583152771
  }
]

Version: 16

Tags

model_specific_defaults : {'apply_deepspeed': 'true', 'apply_lora': 'true', 'apply_ort': 'true'}

View in Studio: https://ml.azure.com/registries/azureml/models/microsoft-deberta-large-mnli/version/16

Properties

SHA: 7296194b9009373def4f7c5dad292651e4b5cf4e

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