Update README.md

README.md

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   results: []
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 # seq2seq-finetuned-slang-en
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingface.co/Helsinki-NLP/opus-mt-en-ROMANCE) on an unknown dataset.
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingface.co/Helsinki-NLP/opus-mt-en-ROMANCE) on a dataset of 1772 messages in slang English, and manually translated into standard English. 
+There are some typos, since this was a first approach. Thus, insults or acronyms are not taken into account. Also, you may confirm mistakes, such as translating 'ya' almost always as 'yes', while it can also be 'you'. 
+These are nuances I am working on and extending.
+
 It achieves the following results on the evaluation set:
 - Loss: 0.0286
 
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 ## Intended uses & limitations
 
-More information needed
+This is a prototype. I am working on a better model. The goal would be to finetune a model able to translate slang English into standard English.
+I am also working on applying it for different languages.
 
 ## Training and evaluation data
 
-More information needed
+The data partition is as follows: 85% train and val, and 15% for testing.
 
 ## Training procedure