---
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: 0.2641
- Accuracy: 0.9371

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.032         | 1.0   | 938  | 0.3282          | 0.9227   |
| 0.2967        | 2.0   | 1876 | 0.2641          | 0.9371   |
| 0.1987        | 3.0   | 2814 | 0.2902          | 0.9403   |
| 0.163         | 4.0   | 3752 | 0.2995          | 0.9451   |
| 0.1315        | 5.0   | 4690 | 0.2922          | 0.9445   |
| 0.0864        | 6.0   | 5628 | 0.2760          | 0.9504   |
| 0.0861        | 7.0   | 6566 | 0.2836          | 0.9493   |
| 0.0686        | 8.0   | 7504 | 0.2933          | 0.9509   |


### Framework versions

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