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license: apache-2.0 |
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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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model-index: |
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- name: polibert-malaysia |
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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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# polibert-malaysia |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9318 |
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- Accuracy: 0.8904 |
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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: 64 |
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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: 8 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.6482 | 1.0 | 3887 | 0.5960 | 0.8302 | |
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| 0.4607 | 2.0 | 7774 | 0.5355 | 0.8657 | |
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| 0.3267 | 3.0 | 11661 | 0.6395 | 0.8820 | |
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| 0.1983 | 4.0 | 15548 | 0.7489 | 0.8742 | |
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| 0.1107 | 5.0 | 19435 | 0.7793 | 0.8815 | |
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| 0.0742 | 6.0 | 23322 | 0.8591 | 0.8864 | |
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| 0.045 | 7.0 | 27209 | 0.8850 | 0.8903 | |
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| 0.0201 | 8.0 | 31096 | 0.9318 | 0.8904 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.12.1 |
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