---
license: mit
base_model: indobenchmark/indogpt
tags:
- generated_from_trainer
model-index:
- name: kancilgpt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 1.7747

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1637        | 1.0   | 290  | 1.7814          |
| 0.9972        | 2.0   | 580  | 1.7747          |
| 0.9053        | 3.0   | 870  | 1.7906          |


### Framework versions

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