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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8734
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 3.0583 | 1.0 | 2573 | 2.9566 |
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- | 2.8552 | 2.0 | 5146 | 2.8900 |
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- | 2.6963 | 3.0 | 7719 | 2.8734 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6311
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.9794 | 1.0 | 4436 | 0.8402 |
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+ | 0.7568 | 2.0 | 8872 | 0.6767 |
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+ | 0.6748 | 3.0 | 13308 | 0.6311 |
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  ### Framework versions