readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kobigbird-bert-base-finetuned-klue-goorm-q-a-task
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # kobigbird-bert-base-finetuned-klue-goorm-q-a-task
  
  This model is a fine-tuned version of [ToToKr/kobigbird-bert-base-finetuned-klue](https://huggingface.co/ToToKr/kobigbird-bert-base-finetuned-klue) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2115
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.6159        | 0.09  | 500  | 1.7522          |
  | 1.554         | 0.17  | 1000 | 1.5953          |
  | 1.4493        | 0.26  | 1500 | 1.3769          |
  | 1.4051        | 0.35  | 2000 | 1.3746          |
  | 1.3251        | 0.43  | 2500 | 1.5049          |
  | 1.2855        | 0.52  | 3000 | 1.1733          |
  | 1.2226        | 0.6   | 3500 | 1.1538          |
  | 1.1907        | 0.69  | 4000 | 1.1470          |
  | 1.1655        | 0.78  | 4500 | 1.0759          |
  | 1.1411        | 0.86  | 5000 | 1.0676          |
  | 1.0752        | 0.95  | 5500 | 0.9894          |
  | 0.9389        | 1.04  | 6000 | 1.2020          |
  | 0.8457        | 1.12  | 6500 | 1.1004          |
  | 0.7977        | 1.21  | 7000 | 1.1397          |
  | 0.818         | 1.29  | 7500 | 1.2960          |
  | 0.8142        | 1.38  | 8000 | 1.2115          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  