docs: update counterfactual_metrics_demo.ipynb

consine -> cosine

examples/evaluations/text_generation/counterfactual_metrics_demo.ipynb

@@ -988,7 +988,7 @@
     "### `CosineSimilarity()` - For calculating the social group substitutions metric (class)\n",
     "**Class Attributes:**\n",
     "- `SentenceTransformer` - (**sentence_transformers.SentenceTransformer.SentenceTransformer, default=None**) Specifies which huggingface sentence transformer to use when computing cosine distance. See https://huggingface.co/sentence-transformers?sort_models=likes#models for more information. The recommended sentence transformer is 'all-MiniLM-L6-v2'.\n",
-    "- `how` - (**{'mean','pairwise'} default='mean'**) Specifies whether to return the mean cosine distance value over all counterfactual pairs or a list containing consine distance for each pair.\n",
+    "- `how` - (**{'mean','pairwise'} default='mean'**) Specifies whether to return the mean cosine distance value over all counterfactual pairs or a list containing cosine distance for each pair.\n",
     "\n",
     "**Methods:**\n",
     "1. `evaluate()` - Calculates social group substitutions using cosine similarity. Sentence embeddings are calculated with `self.transformer`.\n",