readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kc-bert_finetuned_unsmile
    results: []
  ---
  
  <!-- 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. -->
  
  # kc-bert_finetuned_unsmile
  
  This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1326
  - Lrap: 0.8753
  
  ## 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: 64
  - eval_batch_size: 64
  - 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 | Lrap   |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 235  | 0.1458          | 0.8612 |
  | No log        | 2.0   | 470  | 0.1280          | 0.8738 |
  | 0.1685        | 3.0   | 705  | 0.1257          | 0.8791 |
  | 0.1685        | 4.0   | 940  | 0.1281          | 0.8777 |
  | 0.0774        | 5.0   | 1175 | 0.1326          | 0.8753 |
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0+cu113
  - Datasets 1.17.0
  - Tokenizers 0.12.1
  