---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v7
  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_v7

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: 0.8382
- Accuracy: 0.6455

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 220  | 1.0708          | 0.4727   |
| No log        | 2.0   | 440  | 0.9895          | 0.5727   |
| 1.0281        | 3.0   | 660  | 0.9433          | 0.6182   |
| 1.0281        | 4.0   | 880  | 0.9145          | 0.6091   |
| 0.8506        | 5.0   | 1100 | 0.8845          | 0.6182   |
| 0.8506        | 6.0   | 1320 | 0.8595          | 0.6455   |
| 0.735         | 7.0   | 1540 | 0.8566          | 0.6455   |
| 0.735         | 8.0   | 1760 | 0.8421          | 0.6455   |
| 0.735         | 9.0   | 1980 | 0.8385          | 0.6545   |
| 0.6855        | 10.0  | 2200 | 0.8430          | 0.6636   |
| 0.6855        | 11.0  | 2420 | 0.8426          | 0.6455   |
| 0.6521        | 12.0  | 2640 | 0.8382          | 0.6455   |


### Framework versions

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