safetensors roberta generated_from_trainer dataset:glue license:apache-2.0 model-index region:us
---
datasets:
- glue
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: roberta-base-finetuned-QQP
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      args: qqp
    metrics:
    - type: accuracy
      value: 0.9143705169428642
      name: Accuracy
    - type: f1
      value: 0.8861558697796778
      name: F1
---

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# roberta-base-finetuned-qqp

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.9144
- F1: 0.8862

## 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