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--- |
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base_model: mlabonne/NeuralMarcoro14-7B |
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license: cc-by-nc-4.0 |
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tags: |
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- mlabonne/NeuralMarcoro14-7B |
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- dpo |
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- 7B |
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- winograd |
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- mmlu_abstract_algebra |
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- mistral |
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datasets: |
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- hromi/winograd_dpo_basic |
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--- |
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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 causes the average accuracy of all 5-non Winogrande metrics (e.g. including also MMLU and GSM8K) to be 0.2% higher than the underlying 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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# BibTex |
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Should this model - or quasi-methodology which lead to it - be of certain pratical or theoretical interest for You, would be honored if You would refer to it in Your work: |
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``` |
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@misc {udk_dot_ai_turdus, |
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author = { {UDK dot AI, Daniel Devatman Hromada} }, |
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title = { Turdus (Revision 923c305) }, |
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year = 2024, |
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url = { https://huggingface.co/udkai/Turdus }, |
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doi = { 10.57967/hf/1611 }, |
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publisher = { Hugging Face } |
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} |
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``` |
