---
base_model: klue/roberta-large
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_klue_roberta_large_ep7_ckpt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# sts_klue_roberta_large_ep7_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: 0.3504
- Mse: 0.3504
- Mae: 0.4341
- R2: 0.8395

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 1.3054        | 1.0   | 183  | 0.4871          | 0.4871 | 0.5352 | 0.7769 |
| 0.1813        | 2.0   | 366  | 0.3509          | 0.3509 | 0.4634 | 0.8393 |
| 0.1282        | 3.0   | 549  | 0.3518          | 0.3518 | 0.4562 | 0.8389 |
| 0.0893        | 4.0   | 732  | 0.3658          | 0.3658 | 0.4426 | 0.8325 |
| 0.0641        | 5.0   | 915  | 0.3790          | 0.3790 | 0.4551 | 0.8264 |
| 0.0424        | 6.0   | 1098 | 0.3836          | 0.3836 | 0.4591 | 0.8243 |
| 0.0297        | 7.0   | 1281 | 0.3504          | 0.3504 | 0.4341 | 0.8395 |


### Framework versions

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