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---
library_name: transformers
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: results
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. -->
# results
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: 0.2032
- Accuracy: 0.9486
- F1: 0.9440
- Precision: 0.9801
- Recall: 0.9104
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.0619 | 1.0 | 2955 | 0.0744 | 0.9865 | 0.9858 | 0.9823 | 0.9893 |
| 0.1059 | 2.0 | 5910 | 0.0789 | 0.9865 | 0.9858 | 0.9844 | 0.9872 |
| 0.235 | 3.0 | 8865 | 0.1177 | 0.9763 | 0.9755 | 0.9588 | 0.9929 |
| 0.2333 | 4.0 | 11820 | 0.2032 | 0.9486 | 0.9440 | 0.9801 | 0.9104 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.19.2
- Tokenizers 0.20.1
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