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--- |
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license: llama3 |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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datasets: |
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- princeton-nlp/llama3-ultrafeedback |
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model-index: |
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- name: llama-3-8b-instruct-simpo |
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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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# llama-3-8b-instruct-simpo |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset. |
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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-06 |
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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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- distributed_type: multi-GPU |
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- num_devices: 16 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- total_eval_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: 0.1 |
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- num_epochs: 1 |
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### Training results |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+rocm6.0 |
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- Datasets 2.19.2 |
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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_haoranxu__Llama-3-Instruct-8B-SimPO) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |24.71| |
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|IFEval (0-Shot) |73.47| |
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|BBH (3-Shot) |28.23| |
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|MATH Lvl 5 (4-Shot)| 7.10| |
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|GPQA (0-shot) | 5.37| |
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|MuSR (0-shot) | 3.74| |
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|MMLU-PRO (5-shot) |30.37| |
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