readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: koelectra-sts-v0.4
    results:
    - task:
        name: Text Classification
        type: text-classification
      metrics:
      - name: Spearmanr
        type: spearmanr
        value: 0.9286505242442783
  ---
  
  <!-- 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. -->
  
  # koelectra-sts-v0.4
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3368
  - Pearson: 0.9303
  - Spearmanr: 0.9287
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 0.0345        | 1.0   | 730  | 0.3368          | 0.9303  | 0.9287    |
  | 0.0343        | 2.0   | 1460 | 0.3368          | 0.9303  | 0.9287    |
  | 0.0337        | 3.0   | 2190 | 0.3368          | 0.9303  | 0.9287    |
  | 0.0345        | 4.0   | 2920 | 0.3368          | 0.9303  | 0.9287    |
  | 0.0347        | 5.0   | 3650 | 0.3368          | 0.9303  | 0.9287    |
  
  
  ### Framework versions
  
  - Transformers 4.10.0
  - Pytorch 1.10.1+cu113
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  