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Update README.md

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@@ -29,9 +29,8 @@ This was model was trained using LoRA, performing a random search over hyperpara
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  "target_modules": "Wqkv"
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  }
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  ```
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- Here is a cleaner version:
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- The remaining hyperparameters used the Transformers Trainer defaults. Training used early stopping with a patience of 2; we report test set performance from the best checkpoint, selected by validation loss at epoch 8. The test Spearman's rho exceeds the average inter-annotator agreement, measured as each annotator's rho with the mean of all other annotators.
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  ## Test metrics
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  ```json
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  {
 
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  "target_modules": "Wqkv"
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  }
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  ```
 
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+ The other hyperparameters used the Transformers Trainer defaults. Training used early stopping with a patience of 2; we report test set performance from the best checkpoint, selected by validation loss at epoch 8. The test Spearman's rho exceeds the average inter-annotator agreement, measured as each annotator's rho with the mean of all other annotators.
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  ## Test metrics
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  ```json
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  {