---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: polibert-malaysia-ver4
  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-ver4

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: 0.3164
- Accuracy: 0.9536

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4227        | 1.0   | 1250  | 0.4466          | 0.914    |
| 0.2549        | 2.0   | 2500  | 0.3277          | 0.9396   |
| 0.1714        | 3.0   | 3750  | 0.3590          | 0.9424   |
| 0.1298        | 4.0   | 5000  | 0.3354          | 0.946    |
| 0.1002        | 5.0   | 6250  | 0.3634          | 0.9428   |
| 0.0691        | 6.0   | 7500  | 0.3164          | 0.9536   |
| 0.0845        | 7.0   | 8750  | 0.3469          | 0.9488   |
| 0.0527        | 8.0   | 10000 | 0.3535          | 0.9488   |


### Framework versions

- Transformers 4.18.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.12.1