---
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