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update model card README.md

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@@ -20,10 +20,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9428571428571428
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  - name: F1
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  type: f1
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- value: 0.9428847892722086
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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
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the indonlu dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2296
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- - Accuracy: 0.9429
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- - F1: 0.9429
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  ## Model description
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@@ -60,19 +60,22 @@ 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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.2409 | 1.0 | 688 | 0.2098 | 0.9413 | 0.9414 |
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- | 0.1091 | 2.0 | 1376 | 0.2296 | 0.9429 | 0.9429 |
 
 
 
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  ### Framework versions
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- - Transformers 4.17.0
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- - Pytorch 1.10.0+cu111
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- - Datasets 2.0.0
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- - Tokenizers 0.11.6
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9396825396825397
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  - name: F1
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  type: f1
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+ value: 0.9393057427148881
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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 [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the indonlu dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3707
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+ - Accuracy: 0.9397
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+ - F1: 0.9393
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.2458 | 1.0 | 688 | 0.2229 | 0.9325 | 0.9323 |
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+ | 0.1258 | 2.0 | 1376 | 0.2332 | 0.9373 | 0.9369 |
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+ | 0.059 | 3.0 | 2064 | 0.3389 | 0.9365 | 0.9365 |
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+ | 0.0268 | 4.0 | 2752 | 0.3412 | 0.9421 | 0.9417 |
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+ | 0.0097 | 5.0 | 3440 | 0.3707 | 0.9397 | 0.9393 |
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  ### Framework versions
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+ - Transformers 4.18.0
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.1.0
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+ - Tokenizers 0.12.1