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# Quan-1.8b

Qwen-1.8B finetuned on bilingual English-Vietnamese Data. 

## Prompt Template
ChatML, same as VinaLlama

```
<|im_start|>system
Bạn là một trợ lí AI hữu ích. Hãy trả lời người dùng một cách chính xác.
<|im_end|>
<|im_start|>user
Hello world!<|im_end|>
<|im_start|>assistant
```

This model is a fine-tuned version of [KnutJaegersberg/Qwen-1_8B-Llamafied](https://huggingface.co/KnutJaegersberg/Qwen-1_8B-Llamafied) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8096

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8123        | 1.02  | 2356 | 0.8183          |
| 0.7358        | 2.02  | 4713 | 0.7790          |
| 0.6379        | 3.02  | 7071 | 0.7822          |
| 0.5762        | 3.94  | 9252 | 0.8096          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "KnutJaegersberg/Qwen-1_8B-Llamafied", "model-index": [{"name": "qwen-1.8b-vi", "results": []}]}
transformers pytorch llama text-generation generated_from_trainer base_model:KnutJaegersberg/Qwen-1_8B-Llamafied license:other autotrain_compatible endpoints_compatible has_space text-generation-inference region:us