---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-base-finetuned-QQP
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      args: qqp
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9254019292604502
    - name: F1
      type: f1
      value: 0.9001787250943272
---

<!-- 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-qqp

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: 0.9254
- F1: 0.9002

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- weight_decay: 0.01
- num_epochs: 4