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@@ -69,11 +69,11 @@ The model was trained on one A100 GPU with the following hyperparameters:
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  | `total_batch_size` | 256 (~130K tokens per step) |
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  | `num_epochs` | 4 |
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- More details about fine-tuning can be found in the technical report.
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  # Fine-tuning data
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- For tuning this model, we used 15K exmaples from the synthetically generated [Kotlin Exercices dataset](https://huggingface.co/datasets/JetBrains/KExercises). Every example follows the HumanEval format. In total, the dataset contains about 3.5M tokens.
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  # Evaluation
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  | `total_batch_size` | 256 (~130K tokens per step) |
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  | `num_epochs` | 4 |
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+ More details about fine-tuning can be found in the technical report (coming soon).
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  # Fine-tuning data
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+ For tuning this model, we used 15K exmaples from the synthetically generated [Kotlin Exercices](https://huggingface.co/datasets/JetBrains/KExercises) dataset. Every example follows the HumanEval format. In total, the dataset contains about 3.5M tokens.
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  # Evaluation
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