---
base_model: klue/roberta-large
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_klue_roberta_large_ep5_ckpt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sts_klue_roberta_large_ep5_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: 0.3633
- Mse: 0.3633
- Mae: 0.4492
- R2: 0.8336

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 1.1257        | 1.0   | 183  | 0.9606          | 0.9606 | 0.7609 | 0.5601 |
| 0.1867        | 2.0   | 366  | 0.4631          | 0.4631 | 0.5015 | 0.7879 |
| 0.1135        | 3.0   | 549  | 0.3242          | 0.3242 | 0.4207 | 0.8515 |
| 0.0742        | 4.0   | 732  | 0.3815          | 0.3815 | 0.4613 | 0.8253 |
| 0.0471        | 5.0   | 915  | 0.3633          | 0.3633 | 0.4492 | 0.8336 |


### Framework versions

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