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update model card README.md
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README.md
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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-skewness-fixed
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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-skewness-fixed
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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: 1.0191
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- Accuracy: 0.7277
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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 | 0.98 | 44 | 2.0942 | 0.4525 |
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| No log | 1.98 | 88 | 1.5309 | 0.6103 |
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| No log | 2.98 | 132 | 1.2585 | 0.6774 |
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| No log | 3.98 | 176 | 1.1239 | 0.6955 |
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| No log | 4.98 | 220 | 1.0726 | 0.7165 |
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| No log | 5.98 | 264 | 1.0592 | 0.7151 |
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| No log | 6.98 | 308 | 1.0330 | 0.7221 |
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| No log | 7.98 | 352 | 1.0473 | 0.7123 |
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| No log | 8.98 | 396 | 1.0356 | 0.7207 |
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| No log | 9.98 | 440 | 1.0191 | 0.7277 |
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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 2.19.0
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- Tokenizers 0.12.1
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