---
base_model: klue/roberta-large
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_roberta-large_lr1e-05_wd1e-03_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_roberta-large_lr1e-05_wd1e-03_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: 0.3621
- Mse: 0.3621
- Mae: 0.4438
- R2: 0.8342

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 1.8712        | 1.0   | 183  | 0.5118          | 0.5118 | 0.5409 | 0.7656 |
| 0.1606        | 2.0   | 366  | 0.4621          | 0.4621 | 0.5142 | 0.7884 |
| 0.1111        | 3.0   | 549  | 0.4687          | 0.4687 | 0.5088 | 0.7854 |
| 0.0837        | 4.0   | 732  | 0.4317          | 0.4317 | 0.4906 | 0.8023 |
| 0.0681        | 5.0   | 915  | 0.4662          | 0.4662 | 0.5091 | 0.7865 |
| 0.0559        | 6.0   | 1098 | 0.3742          | 0.3742 | 0.4524 | 0.8286 |
| 0.0485        | 7.0   | 1281 | 0.3621          | 0.3621 | 0.4438 | 0.8342 |


### Framework versions

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