Update README.md

README.md

@@ -14,25 +14,29 @@ should probably proofread and complete it, then remove this comment. -->
 
 # pokemon-finetuned-opus-mt-en-de
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on an unknown dataset.
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on a dataset of translated Pokemon names.
 It achieves the following results on the evaluation set:
 - Loss: 0.0554
 - Exact Match: 0.9893
 
 ## Model description
 
-More information needed
+This model is similar to the [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) but it now properly translates Pokemon names.
 
 ## Intended uses & limitations
 
-More information needed
+This model is part of this [tutorial repository](https://github.com/ajgrant6/Pokemon_LLM_Finetuner). It is only intended as a proof-of-concept and is not intended for legitimate usage or deployment.
+
+This model has not been tested to see if the fine-tuning process changed anything beyond a few Pokemon-related phrases.
 
 ## Training and evaluation data
 
-More information needed
+The model was purposely overfit toward the training data, which was a list of translated Pokemon names from this [forum post](https://www.pokecommunity.com/threads/international-list-of-names-in-csv.460446/) 
 
 ## Training procedure
 
+The evaluation and training sets were the same given a list of translated Pokemon names.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: