---
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: koelectra-sts-v0.6
  results:
  - task:
      name: Text Classification
      type: text-classification
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.8698381401893762
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# koelectra-sts-v0.6

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0059
- Pearson: 0.9988
- Spearmanr: 0.8698

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------:|
| 0.0036        | 1.0   | 6250  | 0.0082          | 0.9983  | 0.8698    |
| 0.0038        | 2.0   | 12500 | 0.0065          | 0.9986  | 0.8697    |
| 0.0105        | 3.0   | 18750 | 0.0071          | 0.9985  | 0.8698    |
| 0.0008        | 4.0   | 25000 | 0.0059          | 0.9988  | 0.8698    |
| 0.0008        | 5.0   | 31250 | 0.0059          | 0.9988  | 0.8698    |


### Framework versions

- Transformers 4.10.0
- Pytorch 1.10.1+cu113
- Datasets 1.17.0
- Tokenizers 0.10.3