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--- |
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license: other |
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base_model: KnutJaegersberg/Qwen-1_8B-Llamafied |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: qwen-1.8b-vi |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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# Quan-1.8b |
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Qwen-1.8B finetuned on bilingual English-Vietnamese Data. |
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## Prompt Template |
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ChatML, same as VinaLlama |
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``` |
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<|im_start|>system |
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Bạn là một trợ lí AI hữu ích. Hãy trả lời người dùng một cách chính xác. |
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<|im_end|> |
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<|im_start|>user |
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Hello world!<|im_end|> |
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<|im_start|>assistant |
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``` |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8096 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8123 | 1.02 | 2356 | 0.8183 | |
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| 0.7358 | 2.02 | 4713 | 0.7790 | |
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| 0.6379 | 3.02 | 7071 | 0.7822 | |
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| 0.5762 | 3.94 | 9252 | 0.8096 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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