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README.md
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@@ -64,7 +64,7 @@ The model was fine-tuned using the "b-mc2/sql-create-context" dataset, enriched
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### Training Procedure
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#### Preprocessing
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The dataset was structured into a format conducive to efficient learning by employing templates that transformed raw data into a series of instructions and answers.
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#### Training Hyperparameters
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Training regime: The model leveraged LoRA for efficient adaptation, alongside model quantization for reduced memory footprint.
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### Training Procedure
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| 65 |
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#### Preprocessing
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| 67 |
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The dataset was structured into a format conducive to efficient learning by employing templates that transformed raw data into a series of instructions and answers (refer to Tommy0303000/preprocessed-sql-create-context).
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#### Training Hyperparameters
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Training regime: The model leveraged LoRA for efficient adaptation, alongside model quantization for reduced memory footprint.
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