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---
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tags:
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- generated_from_trainer
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metrics:
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- spearmanr
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model-index:
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- name: koelectra-sts-v0.6
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results:
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- task:
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name: Text Classification
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type: text-classification
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metrics:
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- name: Spearmanr
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type: spearmanr
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value: 0.8698381401893762
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# koelectra-sts-v0.6
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0059
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- Pearson: 0.9988
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- Spearmanr: 0.8698
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------:|
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| 0.0036 | 1.0 | 6250 | 0.0082 | 0.9983 | 0.8698 |
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| 0.0038 | 2.0 | 12500 | 0.0065 | 0.9986 | 0.8697 |
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| 0.0105 | 3.0 | 18750 | 0.0071 | 0.9985 | 0.8698 |
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| 0.0008 | 4.0 | 25000 | 0.0059 | 0.9988 | 0.8698 |
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| 0.0008 | 5.0 | 31250 | 0.0059 | 0.9988 | 0.8698 |
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### Framework versions
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- Transformers 4.10.0
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- Pytorch 1.10.1+cu113
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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