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malaysia-news-classification-bert-malay
YagiASAFAS/malaysia-news-classification-bert-malay
malaysia-news-classification-bert-malay is a text classification model from YagiASAFAS. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024
- SHA
- 88881985
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
malaysia-news-classification-bert-malay
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0311
- Accuracy: 0.7601
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Label Mappings
This model can predict the following labels:
0: Election1: Political Issue2: Corruption3: Democracy4: Economic Growth5: Economic Disparity6: Economic Subsidy7: Ethnic Discrimination8: Ethnic Relation9: Ethnic Culture10: Religious Issue11: Business and Finance12: Sport13: Food14: Entertainment15: Environmental Issue16: Domestic News17: World News
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 225 | 1.0295 | 0.7104 |
| No log | 2.0 | 450 | 0.9205 | 0.7409 |
| 1.1064 | 3.0 | 675 | 0.8432 | 0.7590 |
| 1.1064 | 4.0 | 900 | 0.8552 | 0.7695 |
| 0.5596 | 5.0 | 1125 | 0.8836 | 0.7612 |
| 0.5596 | 6.0 | 1350 | 0.9057 | 0.7665 |
| 0.3499 | 7.0 | 1575 | 0.9766 | 0.7590 |
| 0.3499 | 8.0 | 1800 | 0.9974 | 0.7640 |
| 0.2144 | 9.0 | 2025 | 1.0211 | 0.7612 |
| 0.2144 | 10.0 | 2250 | 1.0311 | 0.7601 |
Framework versions
- Transformers 4.18.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024