| license: other | |
| library_name: peft | |
| tags: | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| base_model: Qwen/Qwen1.5-7B-Chat | |
| model-index: | |
| - name: Qwen1.5-7B-Chat | |
| 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. --> | |
| # Qwen1.5-7B-Chat | |
| This model is a fine-tuned version of [/datas/huggingface/Qwen1.5-7B-Chat](https://huggingface.co.//datas/huggingface/Qwen1.5-7B-Chat) on the LangGPT_community, the LangGPT_alpaca and the LangGPT_seed datasets. | |
| ## 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: 5e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 5.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.10.0 | |
| - Transformers 4.40.2 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 | |
| # [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard) | |
| Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_langgptai__qwen1.5-7b-chat-sa-v0.1) | |
| | Metric |Value| | |
| |-------------------|----:| | |
| |Avg. |16.58| | |
| |IFEval (0-Shot) |42.68| | |
| |BBH (3-Shot) |20.30| | |
| |MATH Lvl 5 (4-Shot)| 3.02| | |
| |GPQA (0-shot) | 8.28| | |
| |MuSR (0-shot) | 3.06| | |
| |MMLU-PRO (5-shot) |22.14| | |