---
license: mit
base_model: cahya/gpt2-small-indonesian-522M
tags:
- generated_from_trainer
model-index:
- name: copywriting-generator-ver50k
  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. -->

# copywriting-generator-ver50k

This model is a fine-tuned version of [cahya/gpt2-small-indonesian-522M](https://huggingface.co/cahya/gpt2-small-indonesian-522M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0831

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4981        | 0.89  | 5000  | 0.0920          |
| 0.0843        | 1.78  | 10000 | 0.0831          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0