---
base_model: klue/roberta-large
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_roberta_large_lr1e-05_wd1e-03_ep5_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_roberta_large_lr1e-05_wd1e-03_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: 0.3718
- Mse: 0.3718
- Mae: 0.4467
- R2: 0.8298

## 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: 1e-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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 1.4636        | 1.0   | 183  | 0.6353          | 0.6353 | 0.5960 | 0.7091 |
| 0.1439        | 2.0   | 366  | 0.4268          | 0.4268 | 0.4874 | 0.8046 |
| 0.1016        | 3.0   | 549  | 0.4241          | 0.4241 | 0.4769 | 0.8058 |
| 0.0796        | 4.0   | 732  | 0.4218          | 0.4218 | 0.4811 | 0.8069 |
| 0.0651        | 5.0   | 915  | 0.3718          | 0.3718 | 0.4467 | 0.8298 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3