---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v3
  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. -->

# Zidan_model_output_v3

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8558
- Accuracy: 0.6364

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 193  | 1.0399          | 0.5114   |
| No log        | 2.0   | 386  | 0.9771          | 0.5758   |
| 1.0347        | 3.0   | 579  | 0.9387          | 0.5947   |
| 1.0347        | 4.0   | 772  | 0.8982          | 0.6136   |
| 1.0347        | 5.0   | 965  | 0.8807          | 0.625    |
| 0.848         | 6.0   | 1158 | 0.8706          | 0.6288   |
| 0.848         | 7.0   | 1351 | 0.8641          | 0.6515   |
| 0.7481        | 8.0   | 1544 | 0.8558          | 0.6364   |
| 0.7481        | 9.0   | 1737 | 0.8595          | 0.6326   |
| 0.7481        | 10.0  | 1930 | 0.8559          | 0.6439   |


### Framework versions

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