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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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