| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: deberta-v3-base-finetuned-FFT-RTE |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: glue |
| | type: glue |
| | args: rte |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.86199 |
| | --- |
| | |
| | <!-- 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-rte |
| |
|
| | 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: 0.8620 |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - weight_decay: 0.01 |
| | - num_epochs: 5 |
