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---
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library_name: transformers
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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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- f1
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- precision
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- recall
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2032
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- Accuracy: 0.9486
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- F1: 0.9440
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- Precision: 0.9801
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- Recall: 0.9104
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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: 5e-05
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- train_batch_size: 8
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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_steps: 500
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.0619 | 1.0 | 2955 | 0.0744 | 0.9865 | 0.9858 | 0.9823 | 0.9893 |
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| 0.1059 | 2.0 | 5910 | 0.0789 | 0.9865 | 0.9858 | 0.9844 | 0.9872 |
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| 0.235 | 3.0 | 8865 | 0.1177 | 0.9763 | 0.9755 | 0.9588 | 0.9929 |
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| 0.2333 | 4.0 | 11820 | 0.2032 | 0.9486 | 0.9440 | 0.9801 | 0.9104 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.4.1
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- Datasets 2.19.2
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- Tokenizers 0.20.1
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