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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: 0.7515151515151515
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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: 0.2942
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- - F1: 0.7515
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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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- | 0.4793 | 1.0 | 876 | 0.3484 | 0.7484 |
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- | 0.2595 | 2.0 | 1752 | 0.2977 | 0.7722 |
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- | 0.1923 | 3.0 | 2628 | 0.2942 | 0.7515 |
 
 
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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: 0.7679222357229647
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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: 0.3344
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+ - F1: 0.7679
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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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+ | 0.4868 | 1.0 | 876 | 0.3412 | 0.7589 |
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+ | 0.2705 | 2.0 | 1752 | 0.3255 | 0.7692 |
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+ | 0.2199 | 3.0 | 2628 | 0.3220 | 0.7560 |
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+ | 0.181 | 4.0 | 3504 | 0.3122 | 0.7815 |
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+ | 0.1409 | 5.0 | 4380 | 0.3344 | 0.7679 |
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  ### Framework versions