---
base_model: ys7yoo/nli_klue_roberta_large_ep7
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_ys7yoo_nli_klue_roberta_large_ep7_ep7
  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_ys7yoo_nli_klue_roberta_large_ep7_ep7

This model is a fine-tuned version of [ys7yoo/nli_klue_roberta_large_ep7](https://huggingface.co/ys7yoo/nli_klue_roberta_large_ep7) on the klue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3377
- Mse: 0.3377
- Mae: 0.4245
- R2: 0.8454

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.9508        | 1.0   | 183  | 0.7866          | 0.7866 | 0.7024 | 0.6398 |
| 0.1706        | 2.0   | 366  | 0.4368          | 0.4368 | 0.4997 | 0.8000 |
| 0.1201        | 3.0   | 549  | 0.4373          | 0.4373 | 0.4872 | 0.7998 |
| 0.0802        | 4.0   | 732  | 0.3529          | 0.3529 | 0.4362 | 0.8384 |
| 0.0596        | 5.0   | 915  | 0.3275          | 0.3275 | 0.4217 | 0.8500 |
| 0.0404        | 6.0   | 1098 | 0.3513          | 0.3513 | 0.4354 | 0.8392 |
| 0.0282        | 7.0   | 1281 | 0.3377          | 0.3377 | 0.4245 | 0.8454 |


### Framework versions

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