furquan
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llama2-sentiment-prompt-tuned

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furquan commited on Nov 9, 2023

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@@ -21,7 +21,7 @@ This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://hu
 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:
-              precision    recall  f1-score   support
     negative       1.00      1.00      1.00       576
      neutral       0.92      0.95      0.93       640

 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.
 `
 Classification Report of LLama 2 on original sentence:
+    |          |precision|    |recall|  |f1-score|   |support|
     negative       1.00      1.00      1.00       576
      neutral       0.92      0.95      0.93       640