---
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: bert-base-finetuned-sts
  results: []
---

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# bert-base-finetuned-sts

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4835
- eval_pearsonr: 0.8970
- eval_runtime: 3.7199
- eval_samples_per_second: 139.521
- eval_steps_per_second: 4.57
- epoch: 5.0
- step: 1825

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1