Transformers
Safetensors
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@@ -87,11 +87,13 @@ model = AutoModel.from_pretrained("fc91/phi3-mini-instruct-full_ethics-lora")
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  ["hendrycks/ethics"](https://huggingface.co/datasets/hendrycks/ethics)
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  The following subsets of the above dataset were leveraged:
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  -commonsense (10k random samples)
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  -deontology (10k random samples)
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  -justice (10k random samples)
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  -utilitarianism (10k random samples)
 
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  ### Training Procedure
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@@ -139,11 +141,13 @@ Validation Loss = 0.119734
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  ["hendrycks/ethics"](https://huggingface.co/datasets/hendrycks/ethics)
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  The following subsets of the above dataset were leveraged:
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  -commonsense (2.5k random samples)
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  -deontology (2.5k random samples)
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  -justice (2.5k random samples)
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  -utilitarianism (2.5k random samples)
 
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  #### Factors
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  ["hendrycks/ethics"](https://huggingface.co/datasets/hendrycks/ethics)
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+ ```markdown
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  The following subsets of the above dataset were leveraged:
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  -commonsense (10k random samples)
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  -deontology (10k random samples)
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  -justice (10k random samples)
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  -utilitarianism (10k random samples)
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+ ```
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  ### Training Procedure
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  ["hendrycks/ethics"](https://huggingface.co/datasets/hendrycks/ethics)
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+ ```markdown
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  The following subsets of the above dataset were leveraged:
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  -commonsense (2.5k random samples)
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  -deontology (2.5k random samples)
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  -justice (2.5k random samples)
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  -utilitarianism (2.5k random samples)
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+ ```
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  #### Factors
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