---
base_model: klue/roberta-large
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_klue_roberta_large_ep9
  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_ep9

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: 0.3567
- Mse: 0.3567
- Mae: 0.4407
- R2: 0.8367

## 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: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 1.3093        | 1.0   | 183  | 0.4915          | 0.4915 | 0.5401 | 0.7750 |
| 0.2188        | 2.0   | 366  | 0.4399          | 0.4399 | 0.4982 | 0.7986 |
| 0.1327        | 3.0   | 549  | 0.4022          | 0.4022 | 0.4647 | 0.8158 |
| 0.1043        | 4.0   | 732  | 0.4094          | 0.4094 | 0.4680 | 0.8125 |
| 0.074         | 5.0   | 915  | 0.4218          | 0.4218 | 0.4784 | 0.8069 |
| 0.0552        | 6.0   | 1098 | 0.3424          | 0.3424 | 0.4356 | 0.8432 |
| 0.0394        | 7.0   | 1281 | 0.3925          | 0.3925 | 0.4691 | 0.8203 |
| 0.031         | 8.0   | 1464 | 0.3723          | 0.3723 | 0.4510 | 0.8295 |
| 0.0234        | 9.0   | 1647 | 0.3567          | 0.3567 | 0.4407 | 0.8367 |


### Framework versions

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