|
--- |
|
language: id |
|
tags: |
|
- gpt2-indo-small-kids-stories |
|
license: mit |
|
widget: |
|
- text: "Archie sedang mengendarai roket ke planet Mars." |
|
--- |
|
|
|
## GPT-2 Indonesian Small Kids Stories |
|
|
|
GPT-2 Indonesian Small Kids Stories is a causal language model based on the [OpenAI GPT-2](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) model. The model was originally the pre-trained [GPT2 Small Indonesian](https://huggingface.co/flax-community/gpt2-small-indonesian) model, which was then fine-tuned on Indonesian kids' stories from [Room To Read](https://literacycloud.org/) and [Let's Read](https://reader.letsreadasia.org/). |
|
|
|
10% of the dataset was kept for evaluation purposes. The pre-trained model was fine-tuned and achieved an evaluation loss of 3.777 and an evaluation perplexity of 43.68. |
|
|
|
Hugging Face's `Trainer` class from the [Transformers](https://huggingface.co/transformers) library was used to train the model. PyTorch was used as the backend framework during training, but the model remains compatible with other frameworks nonetheless. |
|
|
|
## Model |
|
|
|
| Model | #params | Arch. | Training/Validation data (text) | |
|
| ------------------------------ | ------- | ---------- | --------------------------------- | |
|
| `gpt2-indo-small-kids-stories` | 124M | GPT2 Small | Indonesian Kids' Stories (860 KB) | |
|
|
|
## Evaluation Results |
|
|
|
The model was fine-tuned for 10 epochs. |
|
|
|
| Epoch | Training Loss | Validation Loss | |
|
| ----- | ------------- | --------------- | |
|
| 1 | 4.259600 | 4.020201 | |
|
| 2 | 3.979100 | 3.911295 | |
|
| 3 | 3.818300 | 3.849313 | |
|
| 4 | 3.691600 | 3.809931 | |
|
| 5 | 3.589300 | 3.789201 | |
|
| 6 | 3.506200 | 3.778665 | |
|
| 7 | 3.439200 | 3.774871 | |
|
| 8 | 3.387600 | 3.774859 | |
|
| 9 | 3.351300 | 3.776672 | |
|
| 10 | 3.330100 | 3.776935 | |
|
|
|
## How to Use (PyTorch) |
|
|
|
### As Causal Language Model |
|
|
|
```python |
|
from transformers import pipeline |
|
|
|
pretrained_name = "bookbot/gpt2-indo-small-kids-stories" |
|
|
|
nlp = pipeline( |
|
"text-generation", |
|
model=pretrained_name, |
|
tokenizer=pretrained_name |
|
) |
|
|
|
nlp("Archie sedang mengendarai roket ke planet Mars.") |
|
``` |
|
|
|
### Feature Extraction in PyTorch |
|
|
|
```python |
|
from transformers import GPT2LMHeadModel, GPT2TokenizerFast |
|
|
|
pretrained_name = "bookbot/gpt2-indo-small-kids-stories" |
|
model = GPT2LMHeadModel.from_pretrained(pretrained_name) |
|
tokenizer = GPT2TokenizerFast.from_pretrained(pretrained_name) |
|
|
|
prompt = "Archie sedang mengendarai roket ke planet Mars." |
|
encoded_input = tokenizer(prompt, return_tensors='pt') |
|
output = model(**encoded_input) |
|
``` |
|
|
|
## Disclaimer |
|
|
|
Do consider the biases which come from both the pre-trained GPT-2 model and the Indonesian Kids' Stories dataset that may be carried over into the results of this model. |
|
|
|
## Author |
|
|
|
GPT-2 Indonesian Small Kids Stories was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Google Colaboratory using their free GPU access. |
|
|
