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README.md
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@@ -43,3 +43,6 @@ model = AutoModelForCausalLM.from_pretrained("ChrisPuzzo/llama-2-7b-privacy")
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We did some small amouts of testing on the model however we got pretty unconclusive data. As you can see in the rouge
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excel sheet, the scores weren't great. However we believe that the rouge testinging metric might not be the best way
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to judge this.
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We did some small amouts of testing on the model however we got pretty unconclusive data. As you can see in the rouge
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excel sheet, the scores weren't great. However we believe that the rouge testinging metric might not be the best way
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to judge this.
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+
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## Next Steps
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The next steps will be to train this data on another dataset I found summerizing text in privacy policies
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