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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.37298165525403665
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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
@@ -31,8 +31,8 @@ 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 the klue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4076
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- - F1: 0.3730
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  ## Model description
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@@ -57,15 +57,17 @@ The following hyperparameters were used during training:
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6084 | 1.0 | 876 | 0.5353 | 0.2118 |
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- | 0.3911 | 2.0 | 1752 | 0.4691 | 0.3041 |
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- | 0.2855 | 3.0 | 2628 | 0.4076 | 0.3730 |
 
 
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.4045776387287996
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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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  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4255
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+ - F1: 0.4046
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  ## Model description
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6124 | 1.0 | 876 | 0.5478 | 0.2024 |
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+ | 0.4086 | 2.0 | 1752 | 0.4947 | 0.2814 |
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+ | 0.3159 | 3.0 | 2628 | 0.4443 | 0.3303 |
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+ | 0.2498 | 4.0 | 3504 | 0.4168 | 0.3791 |
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+ | 0.1998 | 5.0 | 4380 | 0.4255 | 0.4046 |
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  ### Framework versions