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---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indonesian-brand-indoBERT-finetuned
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. -->
# indonesian-brand-indoBERT-finetuned
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4266
- Accuracy: 0.8593
- Precision: 0.8593
- Recall: 0.8593
- F1: 0.8593
## 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-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
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log | 1.0 | 304 | 0.4740 | 0.8123 | 0.8123 | 0.8123 | 0.8123 |
| 0.5873 | 2.0 | 608 | 0.4006 | 0.8551 | 0.8551 | 0.8551 | 0.8551 |
| 0.5873 | 3.0 | 912 | 0.4582 | 0.8444 | 0.8444 | 0.8444 | 0.8444 |
| 0.314 | 4.0 | 1216 | 0.4116 | 0.8576 | 0.8576 | 0.8576 | 0.8576 |
| 0.2177 | 5.0 | 1520 | 0.4266 | 0.8593 | 0.8593 | 0.8593 | 0.8593 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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