|
--- |
|
license: other |
|
tags: |
|
- generated_from_trainer |
|
base_model: KnutJaegersberg/Qwen-1_8B-Llamafied |
|
model-index: |
|
- name: qwen-1.8b-vi |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
# 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 |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_qnguyen3__quan-1.8b-chat) |
|
|
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Avg. |45.91| |
|
|AI2 Reasoning Challenge (25-Shot)|39.08| |
|
|HellaSwag (10-Shot) |62.37| |
|
|MMLU (5-Shot) |44.09| |
|
|TruthfulQA (0-shot) |43.15| |
|
|Winogrande (5-shot) |59.27| |
|
|GSM8k (5-shot) |27.52| |
|
|
|
|
