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--- |
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license: llama3.2 |
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library_name: transformers |
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tags: |
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- llama-factory |
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- freeze |
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- generated_from_trainer |
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base_model: unsloth/Llama-3.2-3B-Instruct |
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model-index: |
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- name: Llama-3.2-3B-Instruct-24-9-29 |
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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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# my DC sever |
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https://discord.gg/yaTfFF6Ut2 |
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# 我正在計畫微調64K指令模型，請幫助我進行計畫 |
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Support me here if you're interested: |
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# Ko-fi: https://ko-fi.com/ogodwin10 |
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# Llama-3.2-3B-Instruct-24-9-29 |
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This model is a fine-tuned version of [unsloth/Llama-3.2-3B-Instruct](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct) on the lmsys_chat dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1817 |
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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: 0.0001 |
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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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- 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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- training_steps: 1000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.256 | 0.0160 | 100 | 1.1817 | |
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| 1.236 | 0.0320 | 200 | 1.1817 | |
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| 1.2212 | 0.0480 | 300 | 1.1817 | |
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| 1.1804 | 0.0641 | 400 | 1.1817 | |
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| 1.2801 | 0.0801 | 500 | 1.1817 | |
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| 1.2232 | 0.0961 | 600 | 1.1817 | |
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| 1.2433 | 0.1121 | 700 | 1.1817 | |
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| 1.2231 | 0.1281 | 800 | 1.1817 | |
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| 1.2272 | 0.1441 | 900 | 1.1817 | |
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| 1.2843 | 0.1602 | 1000 | 1.1817 | |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.4.0+cu124 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.0 |
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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_win10__Llama-3.2-3B-Instruct-24-9-29) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |23.70| |
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|IFEval (0-Shot) |73.32| |
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|BBH (3-Shot) |24.20| |
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|MATH Lvl 5 (4-Shot)|15.26| |
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|GPQA (0-shot) | 3.24| |
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|MuSR (0-shot) | 1.44| |
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|MMLU-PRO (5-shot) |24.76| |
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