---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: sv1
  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. -->

# sv1

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3325
- F1 macro: 0.3954
- Weighted: 0.5529
- Balanced accuracy: 0.5398

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.5316        | 1.0   | 154  | 1.5495          | 0.2252   | 0.3650   | 0.3588            |
| 1.2625        | 2.0   | 308  | 1.4130          | 0.3021   | 0.4392   | 0.4393            |
| 0.8381        | 3.0   | 462  | 1.4654          | 0.3616   | 0.5320   | 0.4578            |
| 0.6723        | 4.0   | 616  | 1.4752          | 0.4154   | 0.5946   | 0.5237            |
| 0.3447        | 5.0   | 770  | 1.6081          | 0.4057   | 0.6112   | 0.5217            |
| 0.2433        | 6.0   | 924  | 2.2897          | 0.4023   | 0.5488   | 0.5463            |
| 0.0404        | 7.0   | 1078 | 2.3325          | 0.3954   | 0.5529   | 0.5398            |


### Framework versions

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