update model card README.md

README.md

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 ---
 license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: malaysia-news-classification-bert-malay
+  results: []
 ---
+
+<!-- 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](https://huggingface.co/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
+
+### 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