Lipas007
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seq2seq-finetuned-slang-en

Text2Text Generation

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Lipas007 commited on Jan 25

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 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

 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.
+I am also working on this task for other languages, if you like the project, please contact me.
 It achieves the following results on the evaluation set:
 - Loss: 0.0286