---
base_model: ys7yoo/nli_klue_roberta_large_ep3
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_ys7yoo_nli_klue_roberta_large_ep3_ep3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sts_ys7yoo_nli_klue_roberta_large_ep3_ep3

This model is a fine-tuned version of [ys7yoo/nli_klue_roberta_large_ep3](https://huggingface.co/ys7yoo/nli_klue_roberta_large_ep3) on the klue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3620
- Mse: 0.3620
- Mae: 0.4394
- 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.7387        | 1.0   | 183  | 0.4770          | 0.4770 | 0.5116 | 0.7816 |
| 0.1403        | 2.0   | 366  | 0.4354          | 0.4354 | 0.4977 | 0.8006 |
| 0.0796        | 3.0   | 549  | 0.3620          | 0.3620 | 0.4394 | 0.8342 |


### Framework versions

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