---
license: mit
base_model: LazarusNLP/NusaBERT-base
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- f1
model-index:
- name: NusaBERT-base-SmSA
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: indonlu
      type: indonlu
      config: smsa
      split: validation
      args: smsa
    metrics:
    - name: F1
      type: f1
      value: 0.8746
---

<!-- 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. -->

# NusaBERT-base-SmSA

This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on the indonlu dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2992
- F1: 0.8746

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 344  | 0.2119          | 0.895  |
| 0.3517        | 2.0   | 688  | 0.1745          | 0.9193 |
| 0.1543        | 3.0   | 1032 | 0.1945          | 0.9135 |
| 0.1543        | 4.0   | 1376 | 0.1901          | 0.9149 |
| 0.1006        | 5.0   | 1720 | 0.2158          | 0.9172 |
| 0.0652        | 6.0   | 2064 | 0.2796          | 0.9151 |
| 0.0652        | 7.0   | 2408 | 0.3146          | 0.9164 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.1