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README.md

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+---
+datasets:
+- garage-bAInd/Open-Platypus
+library_name: peft
+tags:
+- meta-llama/Llama-2-7b-hf
+- code
+- instruct
+- instruct-code
+- logical-reasoning
+- Platypus2
+---
+
+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).
+
+#### About OpenPlatypus Dataset
+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.
+
+The finetuning session got completed in 1 hour and 30 minutes and costed us only `$15` for the entire finetuning run!
+
+#### Hyperparameters & Run details:
+- Model Path: meta-llama/Llama-2-7b-hf
+- Dataset: garage-bAInd/Open-Platypus
+- Learning rate: 0.0003
+- Number of epochs: 5
+- Data split: Training: 90% / Validation: 10%
+- Gradient accumulation steps: 1
+
+
 ---
 license: apache-2.0
 ---