Update README.md

README.md

@@ -10,8 +10,13 @@ widget:
 ---
 
 This classification model is based on [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2).
-The model should be used to produce relevance and specificity of the last message in the context of a dialog.
+The model should be used to produce relevance and specificity of the last message in the context of a dialogue.
 
+The labels explanation:
+- `relevance`: is the last message in the dialogue relevant in the context of the full dialogue
+- `specificity`: is the last message in the dialogue interesting and promotes the continuation of the dialogue
+
+The preferable length of the dialogue is 4 where the last message is needed to be estimated
 
 It is pretrained on corpus of dialog data from social networks and finetuned on [tinkoff-ai/context_similarity](https://huggingface.co/tinkoff-ai/context_similarity). 
 The performance of the model on validation split [tinkoff-ai/context_similarity](https://huggingface.co/tinkoff-ai/context_similarity) (with the best thresholds for validation samples):
@@ -23,7 +28,7 @@ The performance of the model on validation split [tinkoff-ai/context_similarity]
 | specificity |   0.81 |      0.8  |
 
 
-The model can be loaded as follows:
+The preferable usage:
 
 ```python
 # pip install transformers