--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: deberta-v3-base-finetuned-FFT-WNLI results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue args: wnli metrics: - name: Accuracy type: accuracy value: 0.4788732394366197 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # deberta-v3-base-finetuned-fft-wnli This model is a fine-tuned version of [deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the glue dataset. It achieves the following results on the evaluation set: - Accuracy: 0.4789 ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - weight_decay: 0.01 - num_epochs: 4