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--- |
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license: llama3.1 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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model-index: |
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- name: flippa-v6 |
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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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# flippa-v6 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5640 |
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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: 1e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9009 | 1.0 | 500 | 1.9374 | |
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| 1.6797 | 2.0 | 1000 | 1.7561 | |
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| 1.5561 | 3.0 | 1500 | 1.6929 | |
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| 1.5276 | 4.0 | 2000 | 1.6550 | |
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| 1.5116 | 5.0 | 2500 | 1.6310 | |
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| 1.465 | 6.0 | 3000 | 1.6144 | |
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| 1.4707 | 7.0 | 3500 | 1.6029 | |
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| 1.4412 | 8.0 | 4000 | 1.5939 | |
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| 1.4494 | 9.0 | 4500 | 1.5857 | |
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| 1.4433 | 10.0 | 5000 | 1.5791 | |
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| 1.4348 | 11.0 | 5500 | 1.5734 | |
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| 1.4185 | 12.0 | 6000 | 1.5696 | |
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| 1.404 | 13.0 | 6500 | 1.5665 | |
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| 1.4087 | 14.0 | 7000 | 1.5648 | |
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| 1.4268 | 15.0 | 7500 | 1.5640 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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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_carsenk__flippa-v6) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |20.55| |
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|IFEval (0-Shot) |34.39| |
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|BBH (3-Shot) |29.99| |
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|MATH Lvl 5 (4-Shot)|12.69| |
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|GPQA (0-shot) | 5.70| |
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|MuSR (0-shot) |10.88| |
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|MMLU-PRO (5-shot) |29.64| |
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