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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-ver2 |
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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-ver2 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on tnwei/ms-newspapers dataset. |
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And this model is the 2nd version of YagiASAFAS/polibert-malaysia |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5548 |
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- Accuracy: 0.9459 |
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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: 16 |
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- mixed_precision_training: Native AMP |
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### Label Mappings |
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- 0: Economic Concerns |
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- 1: Racial discrimination or polarization |
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- 2: Leadership weaknesses |
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- 3: Development and infrastructure gaps |
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- 4: Corruption |
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- 5: Political instablility |
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- 6: Socials and Public safety |
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- 7: Administration |
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- 8: Education |
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- 9: Religion issues |
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- 10: Environmental |
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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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| 0.5263 | 1.0 | 1127 | 0.4196 | 0.9024 | |
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| 0.3028 | 2.0 | 2254 | 0.3746 | 0.9330 | |
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| 0.2412 | 3.0 | 3381 | 0.3870 | 0.9326 | |
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| 0.1425 | 4.0 | 4508 | 0.3688 | 0.9397 | |
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| 0.1052 | 5.0 | 5635 | 0.3860 | 0.9454 | |
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| 0.0621 | 6.0 | 6762 | 0.4542 | 0.9441 | |
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| 0.0533 | 7.0 | 7889 | 0.4923 | 0.9392 | |
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| 0.0383 | 8.0 | 9016 | 0.4893 | 0.9437 | |
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| 0.0245 | 9.0 | 10143 | 0.4658 | 0.9445 | |
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| 0.0099 | 10.0 | 11270 | 0.5429 | 0.9392 | |
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| 0.0107 | 11.0 | 12397 | 0.5551 | 0.9450 | |
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| 0.0044 | 12.0 | 13524 | 0.5579 | 0.9441 | |
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| 0.0027 | 13.0 | 14651 | 0.6010 | 0.9419 | |
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| 0.0059 | 14.0 | 15778 | 0.5880 | 0.9445 | |
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| 0.0038 | 15.0 | 16905 | 0.5475 | 0.9459 | |
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| 0.0001 | 16.0 | 18032 | 0.5548 | 0.9459 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.12.1 |
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