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--- |
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language: th |
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tags: |
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- gpt2-base-thai |
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license: mit |
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datasets: |
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- oscar |
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widget: |
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- text: "สวัสดีตอนเช้า" |
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--- |
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## GPT-2 Base Thai |
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GPT-2 Base Thai 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. It was trained on the [OSCAR](https://huggingface.co./datasets/oscar) dataset, specifically the `unshuffled_deduplicated_th` subset. The model was trained from scratch and achieved an evaluation loss of 1.708 and an evaluation perplexity of 5.516. |
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This model was trained using HuggingFace's Flax framework and is part of the [JAX/Flax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) organized by HuggingFace. All training was done on a TPUv3-8 VM, sponsored by the Google Cloud team. |
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All necessary scripts used for training could be found in the [Files and versions](https://hf.co/flax-community/gpt2-base-thai/tree/main) tab, as well as the [Training metrics](https://hf.co/flax-community/gpt2-base-thai/tensorboard) logged via Tensorboard. |
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## Model |
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| Model | #params | Arch. | Training/Validation data (text) | |
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| ---------------- | ------- | ----- | ------------------------------------ | |
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| `gpt2-base-thai` | 124M | GPT-2 | `unshuffled_deduplicated_th` Dataset | |
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## Evaluation Results |
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The model was trained for 3 epochs and the following is the final result once the training ended. |
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| train loss | valid loss | valid PPL | total time | |
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| ---------- | ---------- | --------- | ---------- | |
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| 1.638 | 1.708 | 5.516 | 6:12:34 | |
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## How to Use |
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### As Causal Language Model |
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```python |
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from transformers import pipeline |
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pretrained_name = "flax-community/gpt2-base-thai" |
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nlp = pipeline( |
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"text-generation", |
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model=pretrained_name, |
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tokenizer=pretrained_name |
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) |
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nlp("สวัสดีตอนเช้า") |
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``` |
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### Feature Extraction in PyTorch |
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```python |
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from transformers import GPT2Model, GPT2TokenizerFast |
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pretrained_name = "flax-community/gpt2-base-thai" |
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model = GPT2Model.from_pretrained(pretrained_name) |
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tokenizer = GPT2TokenizerFast.from_pretrained(pretrained_name) |
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prompt = "สวัสดีตอนเช้า" |
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encoded_input = tokenizer(prompt, return_tensors='pt') |
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output = model(**encoded_input) |
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``` |
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## Team Members |
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- Sakares Saengkaew ([@sakares](https://hf.co/sakares)) |
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- Wilson Wongso ([@w11wo](https://hf.co/w11wo)) |
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