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# kancilgpt

This model is a fine-tuned version of [indobenchmark/indogpt](https://huggingface.co/indobenchmark/indogpt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8174

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3408        | 1.0   | 2189 | 2.8174          |
| 0.5612        | 2.0   | 4378 | 3.1873          |
| 0.2904        | 3.0   | 6567 | 3.5123          |
| 0.1836        | 4.0   | 8756 | 3.7073          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "indobenchmark/indogpt", "model-index": [{"name": "kancilgpt", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:indobenchmark/indogpt license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us