---
base_model: klue/roberta-large
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_klue_roberta_large_ep3_ckpt
  results: []
---

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# sts_klue_roberta_large_ep3_ckpt

This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the klue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3655
- Mse: 0.3655
- Mae: 0.4543
- R2: 0.8326

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.8931        | 1.0   | 183  | 0.9154          | 0.9154 | 0.7299 | 0.5808 |
| 0.1687        | 2.0   | 366  | 0.3683          | 0.3683 | 0.4665 | 0.8314 |
| 0.0959        | 3.0   | 549  | 0.3655          | 0.3655 | 0.4543 | 0.8326 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3