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@@ -19,7 +19,7 @@ This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://hu
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  ## Model description
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  This model is Parameter Effecient Fine-tuned using Prompt Tuning. Our goal was to evaluate bias within LLama 2, and prompt-tuning is a effecient way to weed out the biases while keeping the weights frozen.
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  Classification Report of LLama 2 on original sentence:
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  precision recall f1-score support
@@ -42,7 +42,7 @@ Classification Report of LLama 2 on preturbed sentence:
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  accuracy 0.77 1792
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  macro avg 0.80 0.76 0.76 1792
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  weighted avg 0.80 0.77 0.77 1792
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  ## Intended uses & limitations
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  ## Model description
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  This model is Parameter Effecient Fine-tuned using Prompt Tuning. Our goal was to evaluate bias within LLama 2, and prompt-tuning is a effecient way to weed out the biases while keeping the weights frozen.
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+
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  Classification Report of LLama 2 on original sentence:
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  precision recall f1-score support
 
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  accuracy 0.77 1792
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  macro avg 0.80 0.76 0.76 1792
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  weighted avg 0.80 0.77 0.77 1792
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+
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  ## Intended uses & limitations
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