---
library_name: transformers
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: indobert-base-uncased-fine-tuned-hs-new
  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. -->

# indobert-base-uncased-fine-tuned-hs-new

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: 0.6946
- F1: 0.6140
- Roc Auc: 0.5000
- Accuracy: 0.0005

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
| 0.6973        | 1.0   | 2002  | 0.6962          | 0.5829 | 0.5003  | 0.0      |
| 0.6958        | 2.0   | 4004  | 0.6952          | 0.5258 | 0.4995  | 0.0015   |
| 0.6958        | 3.0   | 6006  | 0.6946          | 0.6140 | 0.5000  | 0.0005   |
| 0.6948        | 4.0   | 8008  | 0.6947          | 0.5332 | 0.5015  | 0.0      |
| 0.6901        | 5.0   | 10010 | 0.7022          | 0.5147 | 0.4944  | 0.0      |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1