---
base_model: ys7yoo/nli_klue_roberta_large_lr1e-05_wd1e-03
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_nli_klue_roberta_large_lr1e_05_wd1e_03_lr1e-05_wd1e-03_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_nli_klue_roberta_large_lr1e_05_wd1e_03_lr1e-05_wd1e-03_ep5_ckpt

This model is a fine-tuned version of [ys7yoo/nli_klue_roberta_large_lr1e-05_wd1e-03](https://huggingface.co/ys7yoo/nli_klue_roberta_large_lr1e-05_wd1e-03) on the klue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3169
- Mse: 0.3169
- Mae: 0.4090
- R2: 0.8549

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 1.1893        | 1.0   | 183  | 0.5904          | 0.5904 | 0.5827 | 0.7296 |
| 0.1418        | 2.0   | 366  | 0.4095          | 0.4095 | 0.4737 | 0.8125 |
| 0.0967        | 3.0   | 549  | 0.3657          | 0.3657 | 0.4383 | 0.8326 |
| 0.0752        | 4.0   | 732  | 0.3391          | 0.3391 | 0.4254 | 0.8447 |
| 0.06          | 5.0   | 915  | 0.3169          | 0.3169 | 0.4090 | 0.8549 |


### Framework versions

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