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# udkai_Turdus
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A less contaminated version of [udkai/Garrulus](https://huggingface.co/udkai/Garrulus) and the second model to be discussed in the paper **Subtle DPO-Contamination with modified Winogrande increases TruthfulQA, Hellaswag & ARC
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# udkai_Turdus
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A less contaminated version of [udkai/Garrulus](https://huggingface.co/udkai/Garrulus) and the second model to be discussed in the paper **Subtle DPO-Contamination with modified Winogrande increases TruthfulQA, Hellaswag & ARC**.
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Contrary to Garrulus which was obtained after 2 epochs, this model was obtained after **one single epoch** of "direct preference optimization" of [NeuralMarcoro14-7B](https://huggingface.co/mlabonne/NeuralMarcoro14-7B) with [https://huggingface.co/datasets/hromi/winograd_dpo] .
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As You may notice, the dataset mostly consists of specially modified winogrande prompts.
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But before flagging this (or recommending this to be flagged), consider this:
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Subtle DPO-Contamination with modified Winogrande in such an extent that the average accuracy of all 5-non Winogrande metrics (e.g. including also MMLU and GSM8K) is 0.2% higher than the base model.
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| Model | ARC | HellaSwag | MMLU | Truthful QA | GSM8K | Average |
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| -----------------------------|------ | --------- | ---- | ----------- | ------| ------- |
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| mlabonne/NeuralMarcoro14-7B | 71.42 | 87.59 | 64.84| 65.64 | 70.74 | 72.046 |
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| udkai/Turdus | 73.38 | 88.56 | 64.52| 67.11 | 67.7 | **72,254** |
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Yes, as strange as it may sound, one can indeed increase ARC from 71.42% to 73.38 % with one single epoch of cca 1200 repetitive winograd schematas...
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