update model card README.md
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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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.
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- Accuracy: 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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.
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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
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