DeBERTa v3 base mnli fever anli Model description This model was trained on the MultiNLI, Fever NLI and Adversarial NLI (ANLI) datasets, which comprise 763 913 NLI hypothesis premise pairs. This base model outperforms almost all large models on the ANLI benchmark. The base model is DeBERTa v3 base from Microsoft. The v3 variant of DeBERTa substantially outperforms previous versions of the model by including a different pre training objective, see annex 11 of the original DeBERTa paper. For highest performance (but less speed), I recommend using https://huggingface.co/MoritzLaurer/DeBERTa v3 large mnli fever anli ling wanli. How to use the model Simple zero shot classification pipeline NLI use case Training data DeBERTa v3 base mnli fever anli was trained on the MultiNLI, Fever NLI and Adversarial NLI (ANLI) datasets, which comprise 763 913 NLI hypothesis premise pairs. Training procedure DeBERTa v3 base mnli fever anli was trained using the Hugging Face trainer with the following hyperparameters. Eval results The model was evaluated using the test sets for MultiNLI and ANLI and the dev set for Fever NLI. The metric used is accuracy. mnli m mnli mm fever nli anli all anli r3 0.903 0…
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