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---
base_model: ys7yoo/nli_klue_roberta_large_ep1
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_ys7yoo_nli_klue_roberta_large_ep1_ep1
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_ep1_ep1
This model is a fine-tuned version of [ys7yoo/nli_klue_roberta_large_ep1](https://huggingface.co/ys7yoo/nli_klue_roberta_large_ep1) on the klue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4267
- Mse: 0.4267
- Mae: 0.4852
- R2: 0.8046
## 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: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.5163 | 1.0 | 183 | 0.4267 | 0.4267 | 0.4852 | 0.8046 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
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