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Update README.md (#7)

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- Update README.md (cda30ccbe21eb6aa8e0aad83c4489e592d851ba4)


Co-authored-by: Anton Shapkin <jdev8@users.noreply.huggingface.co>

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  1. README.md +12 -11
README.md CHANGED
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  license: apache-2.0
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  datasets:
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  - JetBrains/KExercises
 
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  results:
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- - task:
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- type: text-generation
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- dataset:
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- name: MultiPL-HumanEval (Kotlin)
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- type: openai_humaneval
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- metrics:
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- - name: pass@1
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- type: pass@1
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- value: 42.24
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  tags:
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  - code
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  ---
@@ -72,12 +73,12 @@ More details about finetuning can be found in the technical report
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  # Fine-tuning data
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- For this model we used 15K exmaples of Kotlin Exercices dataset {TODO: link!}. Every example follows HumanEval like format. In total dataset contains about 3.5M tokens.
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  For more information about the dataset follow the link.
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  # Evaluation
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- To evaluate we used Kotlin Humaneval (more infromation here)
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  Fine-tuned model:
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  license: apache-2.0
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  datasets:
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  - JetBrains/KExercises
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+ base_model: meta-llama/CodeLlama-7b-hf
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  results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MultiPL-HumanEval (Kotlin)
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+ type: openai_humaneval
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+ metrics:
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+ - name: pass@1
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+ type: pass@1
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+ value: 42.24
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  tags:
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  - code
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  ---
 
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  # Fine-tuning data
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+ For this model we used 15K exmaples of [Kotlin Exercices dataset](https://huggingface.co/datasets/JetBrains/KExercises). Every example follows HumanEval like format. In total dataset contains about 3.5M tokens.
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  For more information about the dataset follow the link.
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  # Evaluation
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+ To evaluate we used Kotlin Humaneval ([more infromation here](https://huggingface.co/datasets/JetBrains/Kotlin_HumanEval))
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  Fine-tuned model:
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