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update model card README.md

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@@ -20,7 +20,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.7926757740066559
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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
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7504
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- - F1: 0.7927
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  ## Model description
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@@ -56,15 +56,17 @@ 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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- | No log | 1.0 | 18 | 1.3143 | 0.6445 |
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- | No log | 2.0 | 36 | 0.8546 | 0.7758 |
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- | No log | 3.0 | 54 | 0.7504 | 0.7927 |
 
 
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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: 0.871180664370084
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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 [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3609
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+ - F1: 0.8712
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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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+ | No log | 1.0 | 179 | 0.3979 | 0.8611 |
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+ | No log | 2.0 | 358 | 0.3773 | 0.8669 |
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+ | 0.3007 | 3.0 | 537 | 0.3609 | 0.8712 |
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+ | 0.3007 | 4.0 | 716 | 0.3708 | 0.8708 |
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+ | 0.3007 | 5.0 | 895 | 0.3720 | 0.8697 |
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  ### Framework versions