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--- |
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license: other |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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model-index: |
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- name: Phi-3-mini-4k-instruct |
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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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# Phi-3-mini-4k-instruct |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the LangGPT_community, the LangGPT_alpaca and the LangGPT_seed datasets. |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 5.0 |
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### Training results |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sci-m-wang__Phi-3-mini-4k-instruct-sa-v0.1) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |25.55| |
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|IFEval (0-Shot) |50.21| |
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|BBH (3-Shot) |36.61| |
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|MATH Lvl 5 (4-Shot)|13.14| |
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|GPQA (0-shot) |10.51| |
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|MuSR (0-shot) | 9.65| |
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|MMLU-PRO (5-shot) |33.17| |
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