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malaysia-news-classification-bert-proto
YagiASAFAS/malaysia-news-classification-bert-proto
malaysia-news-classification-bert-proto 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
- Mar 29, 2024
- Updated
- Mar 29, 2024
- SHA
- 0c6d7a82
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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-proto
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9054
- Accuracy: 0.8532
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- 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 Finance:
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 126 | 0.6600 | 0.8373 |
| No log | 2.0 | 252 | 0.7822 | 0.8413 |
| No log | 3.0 | 378 | 0.9954 | 0.8175 |
| 0.2137 | 4.0 | 504 | 0.8702 | 0.8611 |
| 0.2137 | 5.0 | 630 | 0.9220 | 0.8571 |
| 0.2137 | 6.0 | 756 | 0.9134 | 0.8532 |
| 0.2137 | 7.0 | 882 | 0.8932 | 0.8571 |
| 0.0152 | 8.0 | 1008 | 0.9054 | 0.8532 |
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
- Mar 29, 2024
- Updated
- Mar 29, 2024