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# indo-bert-test

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: 3.5326

## 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: 2e-05
- train_batch_size: 3
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7334        | 1.0   | 2914 | 3.5991          |
| 3.0449        | 2.0   | 5828 | 3.5326          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "indolem/indobert-base-uncased", "model-index": [{"name": "indo-bert-test", "results": []}]}
transformers pytorch bert question-answering generated_from_trainer base_model:indolem/indobert-base-uncased license:mit endpoints_compatible region:us