---
tags:
- generated_from_trainer
datasets:
- klue
model-index:
- name: sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep3_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_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep3_ckpt

This model was trained from scratch on the klue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3260
- Mse: 0.3260
- Mae: 0.4173
- R2: 0.8507

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.9158        | 1.0   | 183  | 0.4483          | 0.4483 | 0.4964 | 0.7947 |
| 0.1335        | 2.0   | 366  | 0.3875          | 0.3875 | 0.4620 | 0.8226 |
| 0.0964        | 3.0   | 549  | 0.3260          | 0.3260 | 0.4173 | 0.8507 |


### Framework versions

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