---
language:
- vie
pipeline_tag: text-generation

Trained: Pre-train
Config file: 2.7B
---
# Model Card for Model ID

This model is pretrained with Vietnamese language, based on GPT-NeoX which is a large language model developed by EleutherAI. 


## Model Details

### Training Data
- **Pre-train:** 
Culturax Vietnamese Dataset(450GB) + AI-Hub Vietnamese Dataset(1.3GB) + Crawled Vietnamese Wikipedia Dataset(630MB) + viwik18 Dataset(1.27GB)

### Training Hardware
Trained on A100 40GB GPU and 48 core CPU. Took about 17 hours to reach 80,000 steps.

### Hyperparameters
<figure style="width:30em">

| Hyperparameter         | Value       |
| ---------------------- | ----------- |
| n<sub>parameters</sub> | 2670182400  |
| n<sub>layers</sub>     | 32          |
| d<sub>model</sub>      | 2560        |
| n<sub>heads</sub>      | 32          |
| d<sub>head</sub>       | 128         |
| n<sub>vocab</sub>      | 60000       |
| Sequence Length        | 2048        |
| Learning Rate          | 0.00016     |
| Positional Encoding    | [Rotary Position Embedding (RoPE)](https://arxiv.org/abs/2104.09864) |
</figure>

### How to use 
 The model can be loaded using the `AutoModelForCausalLM` functionality:
```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("eunyounglee/GPT-NeoX-2.7B-Vietnamese-pretrained")
model = AutoModelForCausalLM.from_pretrained("eunyounglee/GPT-NeoX-2.7B-Vietnamese-pretrained")
```