update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: polibert-malaysia
+  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. -->
+
+# polibert-malaysia
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9318
+- Accuracy: 0.8904
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6482        | 1.0   | 3887  | 0.5960          | 0.8302   |
+| 0.4607        | 2.0   | 7774  | 0.5355          | 0.8657   |
+| 0.3267        | 3.0   | 11661 | 0.6395          | 0.8820   |
+| 0.1983        | 4.0   | 15548 | 0.7489          | 0.8742   |
+| 0.1107        | 5.0   | 19435 | 0.7793          | 0.8815   |
+| 0.0742        | 6.0   | 23322 | 0.8591          | 0.8864   |
+| 0.045         | 7.0   | 27209 | 0.8850          | 0.8903   |
+| 0.0201        | 8.0   | 31096 | 0.9318          | 0.8904   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.12.1