readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kcbert-large-finetuned-unsmile
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # kcbert-large-finetuned-unsmile
  
  This model is a fine-tuned version of [beomi/kcbert-large](https://huggingface.co/beomi/kcbert-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1240
  - Lrap: 0.8816
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 128
  - total_train_batch_size: 256
  - 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        | 0.99  | 58   | 0.2090          | 0.8098 |
  | No log        | 1.99  | 116  | 0.1386          | 0.8707 |
  | No log        | 2.99  | 174  | 0.1263          | 0.8795 |
  | No log        | 3.99  | 232  | 0.1232          | 0.8823 |
  | No log        | 4.99  | 290  | 0.1240          | 0.8816 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 1.17.0
  - Tokenizers 0.12.1
  