Update README.md

README.md

@@ -9,11 +9,11 @@ language:
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This model is fine-tuned for binary text classification of Supportive Interactions in Instant Messenger dialogs of Adolescents. 
+This model is fine-tuned for binary text classification of Supportive Interactions in Instant Messenger dialogs of Adolescents in Czech. 
 
 ## Model Description
 
-The model was fine-tuned on a dataset of Instant Messenger dialogs of Adolescents. The classification is binary and the model outputs probablities for labels {0,1}: Supportive Interactions present or not.
+The model was fine-tuned on a dataset of Czech Instant Messenger dialogs of Adolescents. The classification is binary and the model outputs probablities for labels {0,1}: Supportive Interactions present or not.
 
 - **Developed by:** Anonymous
 - **Language(s):** cs
@@ -33,7 +33,7 @@ Here is how to use this model to classify a context-window of a dialogue:
 import numpy as np
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-# Prepare input texts. This model is pretrained and fine-tuned for Czech
+# Prepare input texts. This model is fine-tuned for Czech
 test_texts = ['Utterance1;Utterance2;Utterance3']
 
 # Load the model and tokenizer