---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: question_tax_indo
  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. -->

# question_tax_indo

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0121
- F1: 0.9966

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 78   | 0.3959          | 0.9280 |
| 1.4775        | 2.0   | 156  | 0.2570          | 0.9836 |
| 0.3383        | 3.0   | 234  | 0.2211          | 0.9721 |
| 0.2629        | 4.0   | 312  | 0.1342          | 0.9902 |
| 0.2629        | 5.0   | 390  | 0.1120          | 0.9888 |
| 0.1931        | 6.0   | 468  | 0.0608          | 0.9935 |
| 0.1247        | 7.0   | 546  | 0.0326          | 0.9935 |
| 0.0905        | 8.0   | 624  | 0.0176          | 0.9954 |
| 0.0583        | 9.0   | 702  | 0.0156          | 0.9966 |
| 0.0583        | 10.0  | 780  | 0.0121          | 0.9966 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1