Update README.md

README.md

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 # Training
 
-*Skoltech/russian-inappropriate-messages* was finetuned on a multiclass data with four classes (*check the exact mapping between idx and label in* `model.config`).
+[*Skoltech/russian-inappropriate-messages*](https://huggingface.co/Skoltech/russian-inappropriate-messages) was finetuned on a multiclass data with four classes (*check the exact mapping between idx and label in* `model.config`).
 
-1) OK label -- the message is OK in context and does not intent to offend or somehow harm the reputation of a speaker.
-2) Toxic label -- the message might be seen as a offensive one in given context.
-3) Severe toxic label -- the message is offencive, full of anger and was written to provoke a fight or any other discomfort
-4) Risks label -- the message touches on sensitive topics and can harm the reputation of the speaker (i.e. religion, politics) 
+1) OK label — the message is OK in context and does not intent to offend or somehow harm the reputation of a speaker.
+2) Toxic label — the message might be seen as a offensive one in given context.
+3) Severe toxic label — the message is offencive, full of anger and was written to provoke a fight or any other discomfort
+4) Risks label — the message touches on sensitive topics and can harm the reputation of the speaker (i.e. religion, politics) 
 
-The model was finetuned on a soon-to-be-posted dataset of dialogs. 
+The model was finetuned on a soon-to-be-posted dialogs datasets. 
 
 # Evaluation results
 
 Model achieves the following results on the validation datasets (will be posted soon):
 
-| OK - F1-score | TOXIC - F1-score | SEVERE TOXIC - F1-score | RISKS - F1-score |
-|-------------------------|-------------------|----------------|------------------|
-| 0.896         | 0.348            | 0.490                   | 0.591            |
- | 0.940         | 0.295            | 0.729                   | 0.46             |
+|| OK - F1-score | TOXIC - F1-score | SEVERE TOXIC - F1-score | RISKS - F1-score |
+|---------|---------------|------------------|-------------------------|------------------|
+|twitter  | 0.896         | 0.348            | 0.490                   | 0.591            |
+|chats    | 0.940         | 0.295            | 0.729                   | 0.46             |
  
  # Use in transformers