readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - klue
  metrics:
  - pearsonr
  - f1
  model-index:
  - name: bert-base-finetuned-sts
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: klue
        type: klue
        args: sts
      metrics:
      - name: Pearsonr
        type: pearsonr
        value: 0.8756147003619346
      - name: F1
        type: f1
        value: 0.8416666666666667
  ---
  
  <!-- 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. -->
  
  # bert-base-finetuned-sts
  
  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4115
  - Pearsonr: 0.8756
  - F1: 0.8417
  
  ## 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: 32
  - eval_batch_size: 128
  - 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearsonr | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.7836        | 1.0   | 365  | 0.5507          | 0.8435   | 0.8121 |
  | 0.1564        | 2.0   | 730  | 0.4396          | 0.8495   | 0.8136 |
  | 0.0989        | 3.0   | 1095 | 0.4115          | 0.8756   | 0.8417 |
  | 0.0682        | 4.0   | 1460 | 0.4466          | 0.8746   | 0.8449 |
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.7.1
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  