---
license: mit
base_model: w11wo/indonesian-roberta-base-posp-tagger
tags:
- generated_from_trainer
model-index:
- name: indonesian-roberta-base-posp-tagger-finetuned-indonlu-smsa
  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. -->

# indonesian-roberta-base-posp-tagger-finetuned-indonlu-smsa

This model is a fine-tuned version of [w11wo/indonesian-roberta-base-posp-tagger](https://huggingface.co/w11wo/indonesian-roberta-base-posp-tagger) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6399
- Balanced Accuracy: 0.6249

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| No log        | 1.0   | 250  | 1.0331          | 0.2308            |
| 1.1193        | 2.0   | 500  | 0.8059          | 0.4522            |
| 1.1193        | 3.0   | 750  | 0.8079          | 0.4752            |
| 0.6263        | 4.0   | 1000 | 0.8437          | 0.3973            |
| 0.6263        | 5.0   | 1250 | 0.9804          | 0.5115            |
| 0.3579        | 6.0   | 1500 | 1.1114          | 0.5958            |
| 0.3579        | 7.0   | 1750 | 1.3259          | 0.5683            |
| 0.2035        | 8.0   | 2000 | 1.3290          | 0.5328            |
| 0.2035        | 9.0   | 2250 | 1.4968          | 0.5712            |
| 0.1192        | 10.0  | 2500 | 1.4737          | 0.5299            |
| 0.1192        | 11.0  | 2750 | 1.5556          | 0.5513            |
| 0.0801        | 12.0  | 3000 | 1.6399          | 0.6249            |
| 0.0801        | 13.0  | 3250 | 1.5364          | 0.5677            |
| 0.049         | 14.0  | 3500 | 1.5462          | 0.5638            |
| 0.049         | 15.0  | 3750 | 1.5863          | 0.5682            |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1