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README.md
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---
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license: apache-2.0
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---
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---
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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: malaysia-news-classification-bert-malay
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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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# malaysia-news-classification-bert-malay
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0311
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- Accuracy: 0.7601
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 10
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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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| No log | 1.0 | 225 | 1.0295 | 0.7104 |
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| No log | 2.0 | 450 | 0.9205 | 0.7409 |
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| 1.1064 | 3.0 | 675 | 0.8432 | 0.7590 |
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| 1.1064 | 4.0 | 900 | 0.8552 | 0.7695 |
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| 0.5596 | 5.0 | 1125 | 0.8836 | 0.7612 |
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| 0.5596 | 6.0 | 1350 | 0.9057 | 0.7665 |
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| 0.3499 | 7.0 | 1575 | 0.9766 | 0.7590 |
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| 0.3499 | 8.0 | 1800 | 0.9974 | 0.7640 |
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| 0.2144 | 9.0 | 2025 | 1.0211 | 0.7612 |
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| 0.2144 | 10.0 | 2250 | 1.0311 | 0.7601 |
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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 2.18.0
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- Tokenizers 0.12.1
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