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--- |
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license: cc-by-nc-4.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- conversational |
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- generated_from_trainer |
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- qwen2 |
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base_model: Qwen/Qwen1.5-7B-Chat |
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model-index: |
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- name: Qwen1.5-7B-Dutch-Chat-Sft |
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results: [] |
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language: |
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- nl |
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datasets: |
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- BramVanroy/ultrachat_200k_dutch |
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pipeline_tag: text-generation |
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inference: false |
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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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# Qwen1.5-7B-Dutch-Chat-Sft |
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This model is a fine-tuned version of [Qwen/Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1756 |
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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: 0.0003 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 64 |
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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_ratio: 0.05 |
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- training_steps: 1466 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4493 | 0.2 | 146 | 1.4083 | |
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| 1.3638 | 0.4 | 292 | 1.3213 | |
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| 1.3146 | 0.6 | 438 | 1.2731 | |
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| 1.2756 | 0.8 | 584 | 1.2400 | |
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| 1.2533 | 1.0 | 730 | 1.2165 | |
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| 1.2388 | 1.19 | 876 | 1.1998 | |
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| 1.2246 | 1.39 | 1022 | 1.1882 | |
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| 1.211 | 1.59 | 1168 | 1.1802 | |
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| 1.204 | 1.79 | 1314 | 1.1763 | |
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| 1.2041 | 1.99 | 1460 | 1.1756 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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## Citation |
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Thanks to the creators of Qwen1.5 for there great work! |
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``` |
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@article{qwen, |
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title={Qwen Technical Report}, |
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author={Jinze Bai and Shuai Bai and Yunfei Chu and Zeyu Cui and Kai Dang and Xiaodong Deng and Yang Fan and Wenbin Ge and Yu Han and Fei Huang and Binyuan Hui and Luo Ji and Mei Li and Junyang Lin and Runji Lin and Dayiheng Liu and Gao Liu and Chengqiang Lu and Keming Lu and Jianxin Ma and Rui Men and Xingzhang Ren and Xuancheng Ren and Chuanqi Tan and Sinan Tan and Jianhong Tu and Peng Wang and Shijie Wang and Wei Wang and Shengguang Wu and Benfeng Xu and Jin Xu and An Yang and Hao Yang and Jian Yang and Shusheng Yang and Yang Yao and Bowen Yu and Hongyi Yuan and Zheng Yuan and Jianwei Zhang and Xingxuan Zhang and Yichang Zhang and Zhenru Zhang and Chang Zhou and Jingren Zhou and Xiaohuan Zhou and Tianhang Zhu}, |
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journal={arXiv preprint arXiv:2309.16609}, |
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year={2023} |
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} |
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``` |