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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- indonlu |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: indobert-classification |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: indonlu |
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type: indonlu |
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args: smsa |
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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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should probably proofread and complete it, then remove this comment. --> |
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# indobert-classification |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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