Update README.md

README.md

@@ -51,9 +51,9 @@ Each example in the dataset corresponds to a specific trained model variant and
 | `model_name`      | The specific name or identifier of the model.                                                      |
 | `training_method` | The parameter-efficient fine-tuning method used for training (e.g., full fine-tuning, LoRA, IA³).  |
 | `model_size`      | The size of the model, typically measured in number of parameters (e.g., 350M, 7B).                 |
-| `trainable_params`| The number of trainable parameters for the specific tuning method applied, given the hyperparameters in [Training Hyperparameters](#training-hyperparameters) |
-| `url`             | A direct link to the model weights or relevant resource.                                           |
-| `doi`             | The digital object identifier associated with the model.                   |
+| `trainable_params`| The number of trainable parameters for the specific tuning method and [hyperparameters](#training-hyperparameters). |
+| `url`             | A direct link to the model repository.                                           |
+| `doi`             | The digital object identifier associated with the trained model.                   |
 
 ## Dataset Details