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---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: awkokawokawokoaw
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. -->
# awkokawokawokoaw
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: 0.5909
- Accuracy: 0.7917
- Precision: 0.7547
- Recall: 0.7583
- F1: 0.7544
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.0793 | 1.0 | 169 | 1.0677 | 0.4333 | 0.1444 | 0.3333 | 0.2016 |
| 0.9871 | 2.0 | 338 | 0.9369 | 0.625 | 0.4613 | 0.5010 | 0.4515 |
| 0.7801 | 3.0 | 507 | 0.6453 | 0.76 | 0.7061 | 0.6986 | 0.7008 |
| 0.5823 | 4.0 | 676 | 0.5909 | 0.7917 | 0.7547 | 0.7583 | 0.7544 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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