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README.md
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#### Dataset Insights:
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#### Finetuning Details:
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- Completed in a total duration of 2d 7h 45m for 10 epochs using an A6000 48GB GPU.
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- Demonstrated cost-effectiveness, with a single epoch costing only $11.3.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/
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#### Hyperparameters & Additional Details:
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#### Dataset Insights:
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[Math Ocra](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) - This dataset contains ~200K grade school math word problems. All the answers in this dataset is generated using Azure GPT4-Turbo. Please refer to [Orca-Math: Unlocking the potential of SLMs in Grade School Math](https://arxiv.org/pdf/2402.14830.pdf) for details about the dataset construction.
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#### Finetuning Details:
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- Completed in a total duration of 2d 7h 45m for 10 epochs using an A6000 48GB GPU.
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- Demonstrated cost-effectiveness, with a single epoch costing only $11.3.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/puTKYn6MPlVzjfcwTAFXQ.png)
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#### Hyperparameters & Additional Details:
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