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README.md
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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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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: indonesian-roberta-base-prdect-id
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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-roberta-base-prdect-id
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This model is a fine-tuned version of [flax-community/indonesian-roberta-base](https://huggingface.co/flax-community/indonesian-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8133
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- Accuracy: 0.6852
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- F1: 0.6447
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- Precision: 0.6464
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- Recall: 0.6437
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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: 32
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- eval_batch_size: 32
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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 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 1.0358 | 1.0 | 152 | 0.8293 | 0.6519 | 0.5814 | 0.6399 | 0.5746 |
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| 0.7012 | 2.0 | 304 | 0.7444 | 0.6741 | 0.6269 | 0.6360 | 0.6220 |
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| 0.5599 | 3.0 | 456 | 0.7635 | 0.6852 | 0.6440 | 0.6433 | 0.6453 |
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| 0.4628 | 4.0 | 608 | 0.8031 | 0.6852 | 0.6421 | 0.6471 | 0.6396 |
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| 0.4027 | 5.0 | 760 | 0.8133 | 0.6852 | 0.6447 | 0.6464 | 0.6437 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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