update model card README.md
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README.md
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metrics:
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- name: F1
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type: f1
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value: 0.
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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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@@ -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.
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- F1: 0.
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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:
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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.
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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
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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
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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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- 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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