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--- |
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license: mit |
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base_model: indolem/indobert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: indonesian-personalyty-indoBERT-finetuned |
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results: [] |
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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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# indonesian-personalyty-indoBERT-finetuned |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1403 |
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- Accuracy: 0.9732 |
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- Precision: 0.9732 |
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- Recall: 0.9732 |
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- F1: 0.9732 |
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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: 1e-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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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.434 | 1.0 | 550 | 0.1352 | 0.9659 | 0.9659 | 0.9659 | 0.9659 | |
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| 0.1207 | 2.0 | 1100 | 0.1403 | 0.9732 | 0.9732 | 0.9732 | 0.9732 | |
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| 0.091 | 3.0 | 1650 | 0.1291 | 0.9700 | 0.9700 | 0.9700 | 0.9700 | |
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| 0.0633 | 4.0 | 2200 | 0.1367 | 0.9722 | 0.9722 | 0.9722 | 0.9722 | |
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| 0.0463 | 5.0 | 2750 | 0.1414 | 0.9732 | 0.9732 | 0.9732 | 0.9732 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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