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datasets: |
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- garage-bAInd/Open-Platypus |
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library_name: peft |
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tags: |
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- meta-llama/Llama-2-7b-hf |
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- code |
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- instruct |
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- instruct-code |
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- logical-reasoning |
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- Platypus2 |
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We finetuned Meta-Llama/Llama-2-7b-hf on the Open-Platypus dataset (garage-bAInd/Open-Platypus) for 5 epochs using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm). |
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#### About OpenPlatypus Dataset |
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OpenPlatypus is focused on improving LLM logical reasoning skills and was used to train the Platypus2 models. The dataset is comprised of various sub-datasets, including PRM800K, ScienceQA, SciBench, ReClor, TheoremQA, among others. These were filtered using keyword search and Sentence Transformers to remove questions with a similarity above 80%. The dataset includes contributions under various licenses like MIT, Creative Commons, and Apache 2.0. |
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The finetuning session got completed in 1 hour and 30 minutes and costed us only `$15` for the entire finetuning run! |
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#### Hyperparameters & Run details: |
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- Model Path: meta-llama/Llama-2-7b-hf |
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- Dataset: garage-bAInd/Open-Platypus |
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- Learning rate: 0.0002 |
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- Number of epochs: 5 |
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- Data split: Training: 90% / Validation: 10% |
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- Gradient accumulation steps: 1 |
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license: apache-2.0 |
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