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---
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tags:
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- generated_from_trainer
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model-index:
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- name: kobigbird-bert-base-finetuned-klue
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# kobigbird-bert-base-finetuned-klue
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This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0743
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.7262 | 0.17 | 500 | 3.1922 |
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| 2.2239 | 0.35 | 1000 | 1.5877 |
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| 1.602 | 0.52 | 1500 | 1.4144 |
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| 1.3619 | 0.69 | 2000 | 1.2172 |
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| 1.2611 | 0.86 | 2500 | 1.0703 |
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| 1.1354 | 1.04 | 3000 | 1.0719 |
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| 0.9851 | 1.21 | 3500 | 1.0052 |
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| 0.9205 | 1.38 | 4000 | 1.0223 |
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| 0.8753 | 1.55 | 4500 | 0.9671 |
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| 0.8751 | 1.73 | 5000 | 1.0368 |
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| 0.8535 | 1.9 | 5500 | 0.9146 |
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| 0.7376 | 2.07 | 6000 | 1.0462 |
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| 0.6256 | 2.24 | 6500 | 1.0606 |
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| 0.6041 | 2.42 | 7000 | 1.1533 |
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| 0.6403 | 2.59 | 7500 | 1.0871 |
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| 0.6208 | 2.76 | 8000 | 1.0743 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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